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ORCIDYiran Chen 0001
- > Home > Persons > Yiran Chen 0001
Publications
- 2025
[j152]Yiran Chen
, Cong Guo, Yintao He, Mingyuan Ma, Tergel Molom-Ochir, Nicky Ramos, Haoxuan Shan, Chiyue Wei, Hai Li:
Circuits to Systems: Codesigning Efficient AI Hardware. IEEE Des. Test 42(6): 54-62 (2025)- [j150]Bokyung Kim, Qijia Huang, Brady Taylor, Qilin Zheng, Jonathan Ku, Yiran Chen, Hai Li:
MulPi: A Multi-class and Patient-Independent Epileptic Seizure Classifier With Co-Designed Input-stationary Computing-in-SRAM. IEEE Trans. Biomed. Circuits Syst. 19(4): 756-766 (2025) - [j148]Tergel Molom-Ochir, Brady Taylor, Hai Li, Yiran Chen:
Advancements in Content-Addressable Memory (CAM) Circuits: State-of-the-Art, Applications, and Future Directions in the AI Domain. IEEE Trans. Circuits Syst. I Regul. Pap. 72(8): 3971-3982 (2025) - [j145]Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Yudong Liu, Feng Cheng, Yufan Cao, Feng Yan, Hai Li, Yiran Chen, Wei Wen:
Towards Automated Model Design on Recommender Systems. Trans. Recomm. Syst. 3(3): 41:1-41:23 (2025) - [c390]Mozhgan Navardi, Romina Aalishah, Yuzhe Fu, Yueqian Lin, Hai Li, Yiran Chen, Tinoosh Mohsenin:
GenAI at the Edge: Comprehensive Survey on Empowering Edge Devices. AAAI Spring Symposia 2025: 180-187 - [c387]Junyao Zhang, Guanglei Zhou, Feng Cheng, Jonathan Ku, Qi Ding, Jiaqi Gu, Hanrui Wang, Hai Helen Li, Yiran Chen:
qGDP: Quantum Legalization and Detailed Placement for Superconducting Quantum Computers. DATE 2025: 1-7 - [c385]Feng Cheng, Tunhou Zhang, Junyao Zhang, Jonathan Hao-Cheng Ku, Yitu Wang, Xiaoxuan Yang, Hai Li, Yiran Chen:
AutoRAC: Automated Processing-in-Memory Accelerator Design for Recommender Systems. ACM Great Lakes Symposium on VLSI 2025: 791-797 - [c384]Chiyue Wei, Cong Guo, Feng Cheng, Shiyu Li, Hao (Frank) Yang, Hai Helen Li, Yiran Chen:
Prosperity: Accelerating Spiking Neural Networks via Product Sparsity. HPCA 2025: 806-820 - [c382]Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin, Aolin Ding, Jingwei Sun, William Chen, Amin Hass, Tianlong Chen, Yiran Chen, Hai Li:
Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility. ICLR 2025 - [c380]Yueqian Lin, Yuzhe Fu, Jingyang Zhang, Yudong Liu, Jianyi Zhang, Jingwei Sun, Hai Helen Li, Yiran Chen:
SpeechPrune: Context-Aware Token Pruning for Speech Information Retrieval. ICME 2025: 1-6 - [c377]Ting Jiang, Yixiao Wang, Hancheng Ye, Zishan Shao, Jingwei Sun, Jingyang Zhang, Zekai Chen, Jianyi Zhang, Yiran Chen, Hai Li:
SADA: Stability-guided Adaptive Diffusion Acceleration. ICML 2025 - [c374]Feng Cheng, Cong Guo, Chiyue Wei, Junyao Zhang, Changchun Zhou, Edward Hanson, Jiaqi Zhang, Xiaoxiao Liu, Hai Li, Yiran Chen:
Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-Aware Cache Compression. ISCA 2025: 793-807 - [c373]Chiyue Wei, Bowen Duan, Cong Guo, Jingyang Zhang, Qingyue Song, Hai Li, Yiran Chen:
Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks. ISCA 2025: 930-943 - [c372]Cong Guo, Chiyue Wei, Jiaming Tang, Bowen Duan, Song Han, Hai Li, Yiran Chen:
Transitive Array: An Efficient GEMM Accelerator with Result Reuse. ISCA 2025: 990-1004 - [c371]Junyao Zhang, Hanrui Wang, Qi Ding, Jiaqi Gu, Reouven Assouly, William D. Oliver, Song Han, Kenneth R. Brown, Hai Li, Yiran Chen:
QPlacer: Frequency-Aware Component Placement for Superconducting Quantum Computers. ISCA 2025: 1554-1567 - [c369]Tergel Molom-Ochir, Brady Taylor, Hai (Helen) Li, Yiran Chen:
MonoSparse-CAM: Efficient Tree Model Processing via Monotonicity and Sparsity in CAMs. ISCAS 2025: 1-5 - [c366]Tergel Molom-Ochir, Naman Saxena, Jiwoo Kim, Yiran Chen, Zhangyang (Atlas) Wang, Miroslav Pajic, Hai (Helen) Li:
Efficient Neuro-Symbolic Policy using In-Memory Computing. NeuS 2025: 384-395 - [c364]Jianyi Zhang, Hao Yang, Ang Li, Xin Guo, Pu Wang, Haiming Wang, Yiran Chen, Hai Li:
MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning. WACV 2025: 4066-4076 - [i175]Mark Horton, Tergel Molom-Ochir, Peter Liu, Bhavna Gopal, Chiyue Wei, Cong Guo, Brady Taylor, Deliang Fan, Shan X. Wang, Hai Li, Yiran Chen:
Hamming Attention Distillation: Binarizing Keys and Queries for Efficient Long-Context Transformers. CoRR abs/2502.01770 (2025) - [i171]Martin Kuo, Jianyi Zhang, Aolin Ding, Qinsi Wang, Louis DiValentin, Yujia Bao, Wei Wei, Hai Li, Yiran Chen:
H-CoT: Hijacking the Chain-of-Thought Safety Reasoning Mechanism to Jailbreak Large Reasoning Models, Including OpenAI o1/o3, DeepSeek-R1, and Gemini 2.0 Flash Thinking. CoRR abs/2502.12893 (2025) - [i170]Mozhgan Navardi, Romina Aalishah, Yuzhe Fu, Yueqian Lin, Hai Li, Yiran Chen, Tinoosh Mohsenin:
GenAI at the Edge: Comprehensive Survey on Empowering Edge Devices. CoRR abs/2502.15816 (2025) - [i169]Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin, Aolin Ding, Jingwei Sun, William Chen, Amin Hass, Tianlong Chen, Yiran Chen, Hai Li:
Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility. CoRR abs/2502.17591 (2025) - [i168]Chiyue Wei, Cong Guo, Feng Cheng, Shiyu Li, Hao (Frank) Yang, Hai Helen Li, Yiran Chen:
Prosperity: Accelerating Spiking Neural Networks via Product Sparsity. CoRR abs/2503.03379 (2025) - [i167]Yudong Liu, Jingwei Sun, Yueqian Lin, Jingyang Zhang, Ming Yin, Qinsi Wang, Jianyi Zhang, Hai Li, Yiran Chen:
Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing. CoRR abs/2503.10742 (2025) - [i165]Yueqian Lin, Qinsi Wang, Hancheng Ye, Yuzhe Fu, Hai Helen Li, Yiran Chen:
HippoMM: Hippocampal-inspired Multimodal Memory for Long Audiovisual Event Understanding. CoRR abs/2504.10739 (2025) - [i164]Cong Guo, Chiyue Wei, Jiaming Tang, Bowen Duan, Song Han, Hai Li, Yiran Chen:
Transitive Array: An Efficient GEMM Accelerator with Result Reuse. CoRR abs/2504.16339 (2025) - [i162]Feng Cheng, Cong Guo, Chiyue Wei, Junyao Zhang, Changchun Zhou, Edward Hanson, Jiaqi Zhang, Xiaoxiao Liu, Hai Helen Li, Yiran Chen:
Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression. CoRR abs/2505.06901 (2025) - [i161]Feng Cheng, Tunhou Zhang, Junyao Zhang, Jonathan Hao-Cheng Ku, Yitu Wang, Xiaoxuan Yang, Hai Li, Yiran Chen:
AutoRAC: Automated Processing-in-Memory Accelerator Design for Recommender Systems. CoRR abs/2505.10748 (2025) - [i160]Chiyue Wei, Bowen Duan, Cong Guo, Jingyang Zhang, Qingyue Song, Hai Helen Li, Yiran Chen:
Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks. CoRR abs/2505.10909 (2025) - [i157]Martin Kuo, Jianyi Zhang, Aolin Ding, Louis DiValentin, Amin Hass, Benjamin F. Morris III, Isaac Jacobson, Randolph Linderman, James Kiessling, Nicolas Ramos, Bhavna Gopal, Maziyar Baran Pouyan, Changwei Liu, Hai Li, Yiran Chen:
SafeTy Reasoning Elicitation Alignment for Multi-Turn Dialogues. CoRR abs/2506.00668 (2025) - [i151]Ting Jiang, Yixiao Wang, Hancheng Ye, Zishan Shao, Jingwei Sun, Jingyang Zhang, Zekai Chen, Jianyi Zhang, Yiran Chen, Hai Li:
SADA: Stability-guided Adaptive Diffusion Acceleration. CoRR abs/2507.17135 (2025) - [i148]Zishan Shao, Yixiao Wang, Qinsi Wang, Ting Jiang, Zhixu Du, Hancheng Ye, Danyang Zhuo, Yiran Chen, Hai Li:
FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models. CoRR abs/2508.01506 (2025) - [i147]Xinhua Chen, Sitao Huang, Cong Guo, Chiyue Wei, Yintao He, Jianyi Zhang, Hai Helen Li, Yiran Chen:
DPad: Efficient Diffusion Language Models with Suffix Dropout. CoRR abs/2508.14148 (2025) - [i145]Qinsi Wang, Bo Liu, Tianyi Zhou, Jing Shi, Yueqian Lin, Yiran Chen, Hai Helen Li, Kun Wan, Wentian Zhao:
Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play. CoRR abs/2509.25541 (2025) - [i144]Yueqian Lin, Zhengmian Hu, Qinsi Wang, Yudong Liu, Hengfan Zhang, Jayakumar Subramanian, Nikos Vlassis, Hai Helen Li, Yiran Chen:
Voice Evaluation of Reasoning Ability: Diagnosing the Modality-Induced Performance Gap. CoRR abs/2509.26542 (2025) - [i141]Yueqian Lin, Zhengmian Hu, Jayakumar Subramanian, Qinsi Wang, Nikos Vlassis, Hai Helen Li, Yiran Chen:
AsyncVoice Agent: Real-Time Explanation for LLM Planning and Reasoning. CoRR abs/2510.16156 (2025) - 2024
- [j144]Yiran Chen, Suman Banerjee, Shaundra Daily, Jeffery Krolik, Hai (Helen) Li, Daniel B. Limbrick, Miroslav Pajic, Rajashi Runton, Lin Zhong:
Athena - The NSF AI Institute for Edge Computing. AI Mag. 45(1): 15-21 (2024) - [j142]Shiyu Li, Yitu Wang, Edward Hanson, Andrew Chang, Yang-Seok Ki, Hai Li, Yiran Chen:
NDRec: A Near-Data Processing System for Training Large-Scale Recommendation Models. IEEE Trans. Computers 73(5): 1248-1261 (2024) - [j138]Xiaoxuan Yang, Zhangyang Wang, X. Sharon Hu, Chris H. Kim, Shimeng Yu, Miroslav Pajic, Rajit Manohar, Yiran Chen, Hai Helen Li:
Neuro-Symbolic Computing: Advancements and Challenges in Hardware-Software Co-Design. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1683-1689 (2024) - [c359]Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen:
DistDNAS: Search Efficient Feature Interactions within 2 Hours. IEEE Big Data 2024: 1492-1499 - [c358]Bokyung Kim, Qijia Huang, Brady Taylor, Qilin Zheng, Jonathan Ku, Nicky Ramos, Eric C. Yeats, Yiran Chen, Hai Helen Li:
MulPi: A Multi-Class and Patient-Independent Computing-in-SRAM Seizure Classifier. BioCAS 2024: 1-5 - [c354]Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen:
CSCO: Connectivity Search of Convolutional Operators. CVPR Workshops 2024: 1685-1694 - [c347]Bokyung Kim, Hai Li, Yiran Chen:
Processing-in-Memory Designs Based on Emerging Technology for Efficient Machine Learning Acceleration. ACM Great Lakes Symposium on VLSI 2024: 614-619 - [c345]Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Yiran Chen, Hai Helen Li:
EDALearn: A Comprehensive RTL-to-Signoff EDA Benchmark for Democratized and Reproducible ML for EDA Research. ICCAD 2024: 58:1-58:8 - [c344]Yueqian Lin, Jingyang Zhang, Yiran Chen, Hai Li:
SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion. Tiny Papers @ ICLR 2024 - [c340]Yitu Wang, Shiyu Li, Qilin Zheng, Linghao Song, Zongwang Li, Andrew Chang, Hai Li, Yiran Chen:
NDSEARCH: Accelerating Graph-Traversal-Based Approximate Nearest Neighbor Search through Near Data Processing. ISCA 2024: 368-381 - [c339]Qilin Zheng, Shiyu Li, Yitu Wang, Ziru Li, Yiran Chen, Hai (Helen) Li:
Hybrid Digital/Analog Memristor-based Computing Architecture for Sparse Deep Learning Acceleration. ISCAS 2024: 1-5 - [c338]Minxue Tang, Jingwei Sun, Hai Helen Li, Yiran Chen:
Embracing Privacy, Robustness, and Efficiency with Trustworthy Federated Learning on Edge Devices. ISVLSI 2024: 284-289 - [c334]Zhixu Du, Shiyu Li, Yuhao Wu, Xiangyu Jiang, Jingwei Sun, Qilin Zheng, Yongkai Wu, Ang Li, Hai Li, Yiran Chen:
SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models. MLSys 2024 - [c330]Minxue Tang, Anna Dai, Louis DiValentin, Aolin Ding, Amin Hass, Neil Zhenqiang Gong, Yiran Chen, Hai (Helen) Li:
ModelGuard: Information-Theoretic Defense Against Model Extraction Attacks. USENIX Security Symposium 2024 - [c329]Matthew Inkawhich, Nathan Inkawhich, Hai Li, Yiran Chen:
Tunable Hybrid Proposal Networks for the Open World. WACV 2024: 1977-1988 - [c328]Binghui Wang, Minhua Lin, Tianxiang Zhou, Pan Zhou, Ang Li, Meng Pang, Hai Helen Li, Yiran Chen:
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function. WSDM 2024: 693-701 - [i140]Junyao Zhang, Hanrui Wang, Qi Ding, Jiaqi Gu, Reouven Assouly, William D. Oliver, Song Han, Kenneth R. Brown, Hai Helen Li, Yiran Chen:
Qplacer: Frequency-Aware Component Placement for Superconducting Quantum Computers. CoRR abs/2401.17450 (2024) - [i138]Tunhou Zhang, Feng Yan, Hai Helen Li, Yiran Chen:
Peeking Behind the Curtains of Residual Learning. CoRR abs/2402.08645 (2024) - [i134]Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen:
CSCO: Connectivity Search of Convolutional Operators. CoRR abs/2404.17152 (2024) - [i132]Hao Fu, Tunhou Zhang, Hai Li, Yiran Chen:
Can Dense Connectivity Benefit Outlier Detection? An Odyssey with NAS. CoRR abs/2406.01975 (2024) - [i129]Tergel Molom-Ochir, Brady Taylor, Hai Li, Yiran Chen:
MonoSparse-CAM: Harnessing Monotonicity and Sparsity for Enhanced Tree Model Processing on CAMs. CoRR abs/2407.11071 (2024) - [i123]Jianyi Zhang, Hao (Fran)k Yang, Ang Li, Xin Guo, Pu Wang, Haiming Wang, Yiran Chen, Hai Li:
MLLM-FL: Multimodal Large Language Model Assisted Federated Learning on Heterogeneous and Long-tailed Data. CoRR abs/2409.06067 (2024) - [i122]Minxue Tang, Yitu Wang, Jingyang Zhang, Louis DiValentin, Aolin Ding, Amin Hass, Yiran Chen, Hai (Helen) Li:
FedProphet: Memory-Efficient Federated Adversarial Training via Theoretic-Robustness and Low-Inconsistency Cascade Learning. CoRR abs/2409.08372 (2024) - [i120]Cong Guo, Feng Cheng, Zhixu Du, James Kiessling, Jonathan Ku, Shiyu Li, Ziru Li, Mingyuan Ma, Tergel Molom-Ochir, Benjamin Morris, Haoxuan Shan, Jingwei Sun, Yitu Wang, Chiyue Wei, Xueying Wu, Yuhao Wu, Hao (Frank) Yang, Jingyang Zhang, Junyao Zhang, Qilin Zheng, Guanglei Zhou, Hai Li, Yiran Chen:
A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models. CoRR abs/2410.07265 (2024) - [i117]Junyao Zhang, Guanglei Zhou, Feng Cheng, Jonathan Ku, Qi Ding, Jiaqi Gu, Hanrui Wang, Hai Helen Li, Yiran Chen:
qGDP: Quantum Legalization and Detailed Placement for Superconducting Quantum Computers. CoRR abs/2411.02447 (2024) - [i116]Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Yudong Liu, Feng Cheng, Yufan Cao, Feng Yan, Hai Li, Yiran Chen, Wei Wen:
Towards Automated Model Design on Recommender Systems. CoRR abs/2411.07569 (2024) - [i113]Ming Yin, Jingyang Zhang, Jingwei Sun, Minghong Fang, Hai Li, Yiran Chen:
LoBAM: LoRA-Based Backdoor Attack on Model Merging. CoRR abs/2411.16746 (2024) - 2023
- [j135]Edward Hanson, Shiyu Li, Xuehai Qian, Hai Helen Li, Yiran Chen:
DyNNamic: Dynamically Reshaping, High Data-Reuse Accelerator for Compact DNNs. IEEE Trans. Computers 72(3): 880-892 (2023) - [j133]Ziru Li, Qilin Zheng, Yiran Chen, Hai Helen Li:
SpikeSen: Low-Latency In-Sensor-Intelligence Design With Neuromorphic Spiking Neurons. IEEE Trans. Circuits Syst. II Express Briefs 70(6): 1876-1880 (2023) - [j132]Yitu Wang, Shiyu Li, Qilin Zheng, Andrew Chang, Hai Li, Yiran Chen:
EMS-i: An Efficient Memory System Design with Specialized Caching Mechanism for Recommendation Inference. ACM Trans. Embed. Comput. Syst. 22(5s): 100:1-100:22 (2023) - [c323]Edward Hanson, Mark Horton, Hai (Helen) Li, Yiran Chen:
DefT: Boosting Scalability of Deformable Convolution Operations on GPUs. ASPLOS (3) 2023: 134-146 - [c322]Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Helen Li, Yiran Chen:
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification. CoLLAs 2023: 162-183 - [c320]Qilin Zheng, Shiyu Li, Yitu Wang, Ziru Li, Yiran Chen, Hai Helen Li:
Accelerating Sparse Attention with a Reconfigurable Non-volatile Processing-In-Memory Architecture. DAC 2023: 1-6 - [c316]Yuewei Yang, Hai Li, Yiran Chen:
Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations. ICCV 2023: 16063-16074 - [c315]Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li:
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. ICML 2023: 41354-41381 - [c313]Edward Hanson, Shiyu Li, Guanglei Zhou, Feng Cheng, Yitu Wang, Rohan Bose, Hai Li, Yiran Chen:
Si-Kintsugi: Towards Recovering Golden-Like Performance of Defective Many-Core Spatial Architectures for AI. MICRO 2023: 972-985 - [c308]Linghao Song, Fan Chen, Hai Li, Yiran Chen:
ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers. SC 2023: 75:1-75:15 - [c307]Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen:
: Joint Point Interaction-Dimension Search for 3D Point Cloud. WACV 2023: 1298-1307 - [c305]Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Yiran Chen, Hai Li:
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments. WACV 2023: 5520-5529 - [c304]Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen:
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. WWW 2023: 1199-1207 - [i108]Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Ryan Luley, Yiran Chen, Hai Helen Li:
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection. CoRR abs/2303.14531 (2023) - [i103]Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li:
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection. CoRR abs/2306.09301 (2023) - [i100]Yuewei Yang, Hai Li, Yiran Chen:
Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations. CoRR abs/2308.08321 (2023) - [i98]Zhixu Du, Shiyu Li, Yuhao Wu, Xiangyu Jiang, Jingwei Sun, Qilin Zheng, Yongkai Wu, Ang Li, Hai (Helen) Li, Yiran Chen:
SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models. CoRR abs/2310.18859 (2023) - [i97]Yufan Cao, Tunhou Zhang, Wei Wen, Feng Yan, Hai Li, Yiran Chen:
Farthest Greedy Path Sampling for Two-shot Recommender Search. CoRR abs/2310.20705 (2023) - [i96]Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen:
DistDNAS: Search Efficient Feature Interactions within 2 Hours. CoRR abs/2311.00231 (2023) - [i94]Yueqian Lin, Jingyang Zhang, Yiran Chen, Hai Helen Li:
SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion. CoRR abs/2311.12981 (2023) - [i90]Yitu Wang, Shiyu Li, Qilin Zheng, Linghao Song, Zongwang Li, Andrew Chang, Hai (Helen) Li, Yiran Chen:
In-Storage Acceleration of Graph-Traversal-Based Approximate Nearest Neighbor Search. CoRR abs/2312.03141 (2023) - 2022
- [j118]Jiachen Mao, Qing Yang, Ang Li, Kent W. Nixon, Hai Li, Yiran Chen:
Toward Efficient and Adaptive Design of Video Detection System with Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 21(3): 33:1-33:21 (2022) - [c303]Xiaoxuan Yang, Huanrui Yang, Jingchi Zhang, Hai Helen Li, Yiran Chen:
On Building Efficient and Robust Neural Network Designs. IEEECONF 2022: 317-321 - [c301]Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen:
ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation. AutoML 2022: 15/1-18 - [c300]Jianyi Zhang, Zhixu Du, Jingwei Sun, Ang Li, Minxue Tang, Yuhao Wu, Zhihui Gao, Martin Kuo, Hai Helen Li, Yiran Chen:
Next Generation Federated Learning for Edge Devices: An Overview. CIC 2022: 10-15 - [c299]Jingyang Zhang, Yiran Chen, Hai Helen Li:
Privacy Leakage of Adversarial Training Models in Federated Learning Systems. CVPR Workshops 2022: 107-113 - [c298]Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Helen Li, Yiran Chen:
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning. CVPR 2022: 10092-10101 - [c289]Binghui Wang, Ang Li, Meng Pang, Hai Li, Yiran Chen:
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. ICDM 2022: 498-507 - [c287]Edward Hanson, Shiyu Li, Hai Helen Li, Yiran Chen:
Cascading structured pruning: enabling high data reuse for sparse DNN accelerators. ISCA 2022: 522-535 - [c284]Bonan Yan, Jeng-Long Hsu, Pang-Cheng Yu, Chia-Chi Lee, Yaojun Zhang, Wenshuo Yue, Guoqiang Mei, Yuchao Yang, Yue Yang, Hai Li, Yiran Chen, Ru Huang:
A 1.041-Mb/mm2 27.38-TOPS/W Signed-INT8 Dynamic-Logic-Based ADC-less SRAM Compute-in-Memory Macro in 28nm with Reconfigurable Bitwise Operation for AI and Embedded Applications. ISSCC 2022: 188-190 - [c281]Jingwei Sun, Ang Li, Lin Duan, Samiul Alam, Xuliang Deng, Xin Guo, Haiming Wang, Maria Gorlatova, Mi Zhang, Hai Li, Yiran Chen:
FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices. SenSys 2022: 106-119 - [c280]Matthew Inkawhich, Nathan Inkawhich, Eric K. Davis, Hai Li, Yiran Chen:
The Untapped Potential of Off-the-Shelf Convolutional Neural Networks. WACV 2022: 2907-2916 - [i88]Jingyang Zhang, Yiran Chen, Hai Helen Li:
Privacy Leakage of Adversarial Training Models in Federated Learning Systems. CoRR abs/2202.10546 (2022) - [i85]Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen:
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. CoRR abs/2207.07187 (2022) - [i84]Matthew Inkawhich, Nathan Inkawhich, Hai Helen Li, Yiran Chen:
Self-Trained Proposal Networks for the Open World. CoRR abs/2208.11050 (2022) - [i83]Minxue Tang, Jianyi Zhang, Mingyuan Ma, Louis DiValentin, Aolin Ding, Amin Hassanzadeh, Hai Helen Li, Yiran Chen:
FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices. CoRR abs/2209.03839 (2022) - [i82]Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Helen Li, Yiran Chen:
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification. CoRR abs/2209.04493 (2022) - [i81]Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li:
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. CoRR abs/2209.15245 (2022) - [i79]Zhixu Du, Jingwei Sun, Ang Li, Pin-Yu Chen, Jianyi Zhang, Hai (Helen) Li, Yiran Chen:
Rethinking Normalization Methods in Federated Learning. CoRR abs/2210.03277 (2022) - [i78]Yuewei Yang, Jingwei Sun, Ang Li, Hai Li, Yiran Chen:
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System. CoRR abs/2211.06470 (2022) - [i77]Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen:
PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud. CoRR abs/2211.15759 (2022) - 2021
- [j114]Feng Liang, Zhichao Tian, Ming Dong, Shuting Cheng, Li Sun, Hai Li, Yiran Chen, Guohe Zhang:
Efficient neural network using pointwise convolution kernels with linear phase constraint. Neurocomputing 423: 572-579 (2021) - [j105]Xiaoxiao Liu, Mengjie Mao, Xiuyuan Bi, Hai Helen Li, Yiran Chen:
Exploring Applications of STT-RAM in GPU Architectures. IEEE Trans. Circuits Syst. I Regul. Pap. 68(1): 238-249 (2021) - [j102]Jiachen Mao, Huanrui Yang, Ang Li, Hai Li, Yiran Chen:
TPrune: Efficient Transformer Pruning for Mobile Devices. ACM Trans. Cyber Phys. Syst. 5(3): 26:1-26:22 (2021) - [c279]Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen:
NASGEM: Neural Architecture Search via Graph Embedding Method. AAAI 2021: 7090-7098 - [c277]Yiran Chen, Ang Li, Huanrui Yang, Tunhou Zhang, Yuewei Yang, Hai Li, Suman Banerjee, Miroslav Pajic:
AI-Powered IoT System at the Edge. CogMI 2021: 242-251 - [c276]Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen:
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective. CVPR 2021: 9311-9319 - [c275]Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen:
RAISE: A Resistive Accelerator for Subject-Independent EEG Signal Classification. DATE 2021: 340-343 - [c274]Fan Chen, Linghao Song, Hai Li, Yiran Chen:
Marvel: A Vertical Resistive Accelerator for Low-Power Deep Learning Inference in Monolithic 3D. DATE 2021: 1240-1245 - [c272]Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen:
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs. HPCC/DSS/SmartCity/DependSys 2021: 933-940 - [c269]Yitu Wang, Zhenhua Zhu, Fan Chen, Mingyuan Ma, Guohao Dai, Yu Wang, Hai Li, Yiran Chen:
Rerec: In-ReRAM Acceleration with Access-Aware Mapping for Personalized Recommendation. ICCAD 2021: 1-9 - [c267]Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen:
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? ICCVW 2021: 41-50 - [c266]Huanrui Yang, Lin Duan, Yiran Chen, Hai Li:
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization. ICLR 2021 - [c264]Eric C. Yeats, Yiran Chen, Hai Li:
Improving Gradient Regularization using Complex-Valued Neural Networks. ICML 2021: 11953-11963 - [c263]Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li:
LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning. SEC 2021: 68-79 - [c262]Chaofei Yang, Leah Ding, Yiran Chen, Hai Li:
Defending against GAN-based DeepFake Attacks via Transformation-aware Adversarial Faces. IJCNN 2021: 1-8 - [c260]Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li:
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. KDD 2021: 1667-1676 - [c257]Shiyu Li, Edward Hanson, Xuehai Qian, Hai (Helen) Li, Yiran Chen:
ESCALATE: Boosting the Efficiency of Sparse CNN Accelerator with Kernel Decomposition. MICRO 2021: 992-1004 - [c256]Ang Li, Jingwei Sun, Pengcheng Li, Yu Pu, Hai Li, Yiran Chen:
Hermes: an efficient federated learning framework for heterogeneous mobile clients. MobiCom 2021: 420-437 - [c255]Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li:
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective. NeurIPS 2021: 12613-12624 - [c254]Ang Li, Jingwei Sun, Xiao Zeng, Mi Zhang, Hai Li, Yiran Chen:
FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking. SenSys 2021: 42-55 - [i74]Ximing Qiao, Yuhua Bai, Siping Hu, Ang Li, Yiran Chen, Hai Li:
On Provable Backdoor Defense in Collaborative Learning. CoRR abs/2101.08177 (2021) - [i73]Huanrui Yang, Lin Duan, Yiran Chen, Hai Li:
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization. CoRR abs/2102.10462 (2021) - [i72]Matthew Inkawhich, Nathan Inkawhich, Eric K. Davis, Hai Li, Yiran Chen:
The Untapped Potential of Off-the-Shelf Convolutional Neural Networks. CoRR abs/2103.09891 (2021) - [i71]Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen:
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? CoRR abs/2103.09916 (2021) - [i69]Jingyang Zhang, Nathan Inkawhich, Yiran Chen, Hai Li:
Fine-grained Out-of-Distribution Detection with Mixup Outlier Exposure. CoRR abs/2106.03917 (2021) - [i68]Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li:
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. CoRR abs/2107.01475 (2021) - [i65]Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li:
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective. CoRR abs/2110.13864 (2021) - 2020
- [j93]Guohe Zhang, Bing Li, Jianxing Wu, Ran Wang, Yazhu Lan, Li Sun, Shaochong Lei, Hai Li, Yiran Chen:
A low-cost and high-speed hardware implementation of spiking neural network. Neurocomputing 382: 106-115 (2020) - [j81]Chaofei Yang, Beiye Liu, Hai Li, Yiran Chen, Mark Barnell, Qing Wu, Wujie Wen, Jeyavijayan Rajendran:
Thwarting Replication Attack Against Memristor-Based Neuromorphic Computing System. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2192-2205 (2020) - [j78]Yazhu Lan, Kent W. Nixon, Qingli Guo, Guohe Zhang, Yuanchao Xu, Hai Li, Yiran Chen:
FCDM: A Methodology Based on Sensor Pattern Noise Fingerprinting for Fast Confidence Detection to Adversarial Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4791-4804 (2020) - [c253]Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Helen Li, Yiran Chen:
AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture. AAAI 2020: 6829-6836 - [c250]Chaofei Yang, Hai Li, Yiran Chen, Jiang Hu:
Enhancing Generalization of Wafer Defect Detection by Data Discrepancy-aware Preprocessing and Contrast-varied Augmentation. ASP-DAC 2020: 145-150 - [c249]Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen:
PARC: A Processing-in-CAM Architecture for Genomic Long Read Pairwise Alignment using ReRAM. ASP-DAC 2020: 175-180 - [c248]Linghao Song, Fan Chen, Yiran Chen, Hai Helen Li:
Parallelism in Deep Learning Accelerators. ASP-DAC 2020: 645-650 - [c247]Matthew Inkawhich, Yiran Chen, Hai Helen Li:
Snooping Attacks on Deep Reinforcement Learning. AAMAS 2020: 557-565 - [c246]Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen:
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CVPR Workshops 2020: 2899-2908 - [c244]Qilin Zheng, Zongwei Wang, Zishun Feng, Bonan Yan, Yimao Cai, Ru Huang, Yiran Chen, Chia-Lin Yang, Hai Helen Li:
Lattice: An ADC/DAC-less ReRAM-based Processing-In-Memory Architecture for Accelerating Deep Convolution Neural Networks. DAC 2020: 1-6 - [c243]Yitu Wang, Fan Chen, Linghao Song, Chuanjin Richard Shi, Hai Helen Li, Yiran Chen:
ReBoc: Accelerating Block-Circulant Neural Networks in ReRAM. DATE 2020: 1472-1477 - [c241]Wei Wen, Hanxiao Liu, Yiran Chen, Hai Helen Li, Gabriel Bender, Pieter-Jan Kindermans:
Neural Predictor for Neural Architecture Search. ECCV (29) 2020: 660-676 - [c240]Linghao Song, Fan Chen, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen:
AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators. HPCA 2020: 342-355 - [c239]Jingchi Zhang, Jonathan Huang, Michael Deisher, Hai Helen Li, Yiran Chen:
Structural Sparsification for Far-Field Speaker Recognition with Intel® Gna. ICASSP 2020: 3037-3041 - [c238]Zhiyao Xie, Hai Li, Xiaoqing Xu, Jiang Hu, Yiran Chen:
Fast IR Drop Estimation with Machine Learning : Invited Paper. ICCAD 2020: 13:1-13:8 - [c237]Xiaoxuan Yang, Bonan Yan, Hai Li, Yiran Chen:
ReTransformer: ReRAM-based Processing-in-Memory Architecture for Transformer Acceleration. ICCAD 2020: 92:1-92:9 - [c236]Qilin Zheng, Xingchen Li, Zongwei Wang, Guangyu Sun, Yimao Cai, Ru Huang, Yiran Chen, Hai Li:
MobiLattice: A Depth-wise DCNN Accelerator with Hybrid Digital/Analog Nonvolatile Processing-In-Memory Block. ICCAD 2020: 104:1-104:9 - [c232]Shiyu Li, Edward Hanson, Hai Li, Yiran Chen:
PENNI: Pruned Kernel Sharing for Efficient CNN Inference. ICML 2020: 5863-5873 - [c228]Wei Wen, Feng Yan, Yiran Chen, Hai Li:
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks. KDD 2020: 833-841 - [i62]Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen:
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CoRR abs/2004.09031 (2020) - [i58]Shiyu Li, Edward Hanson, Hai Li, Yiran Chen:
PENNI: Pruned Kernel Sharing for Efficient CNN Inference. CoRR abs/2005.07133 (2020) - [i55]Chaofei Yang, Lei Ding, Yiran Chen, Hai Helen Li:
Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces. CoRR abs/2006.07421 (2020) - [i54]Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Helen Li, Yiran Chen:
NASGEM: Neural Architecture Search via Graph Embedding Method. CoRR abs/2007.04452 (2020) - [i52]Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li:
LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets. CoRR abs/2008.03371 (2020) - [i51]Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Meng Pang, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen:
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs. CoRR abs/2009.00163 (2020) - [i50]Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen:
Evasion Attacks to Graph Neural Networks via Influence Function. CoRR abs/2009.00203 (2020) - [i49]Linghao Song, Fan Chen, Xuehai Qian, Hai Li, Yiran Chen:
Low-Cost Floating-Point Processing in ReRAM for Scientific Computing. CoRR abs/2011.03190 (2020) - [i47]Zhiyao Xie, Hai Li, Xiaoqing Xu, Jiang Hu, Yiran Chen:
Fast IR Drop Estimation with Machine Learning. CoRR abs/2011.13491 (2020) - [i43]Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen:
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition. CoRR abs/2011.14584 (2020) - [i41]Binghui Wang, Ang Li, Hai Li, Yiran Chen:
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. CoRR abs/2012.04187 (2020) - [i40]Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen:
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective. CoRR abs/2012.06043 (2020) - 2019
- [j73]Bonan Yan, Bing Li, Ximing Qiao, Cheng-Xin Xue, Meng-Fan Chang, Yiran Chen, Hai Helen Li:
Resistive Memory-Based In-Memory Computing: From Device and Large-Scale Integration System Perspectives. Adv. Intell. Syst. 1(7): 1900068 (2019) - [j72]Linghao Song, You Wu, Xuehai Qian, Hai Li, Yiran Chen:
ReBNN: in-situ acceleration of binarized neural networks in ReRAM using complementary resistive cell. CCF Trans. High Perform. Comput. 1(3-4): 196-208 (2019) - [j69]Bing Li, Mengjie Mao, Xiaoxiao Liu, Tao Liu, Zihao Liu, Wujie Wen, Yiran Chen, Hai (Helen) Li:
Thread Batching for High-performance Energy-efficient GPU Memory Design. ACM J. Emerg. Technol. Comput. Syst. 15(4): 39:1-39:21 (2019) - [j64]Shuo Li, Nong Xiao, Peng Wang, Guangyu Sun, Xiaoyang Wang, Yiran Chen, Hai Helen Li, Jason Cong, Tao Zhang:
RC-NVM: Dual-Addressing Non-Volatile Memory Architecture Supporting Both Row and Column Memory Accesses. IEEE Trans. Computers 68(2): 239-254 (2019) - [j63]Jianlei Yang, Xueyan Wang, Qiang Zhou, Zhaohao Wang, Hai Li, Yiran Chen, Weisheng Zhao:
Exploiting Spin-Orbit Torque Devices As Reconfigurable Logic for Circuit Obfuscation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(1): 57-69 (2019) - [c225]Xin Liu, Huanrui Yang, Ziwei Liu, Linghao Song, Yiran Chen, Hai Li:
DPATCH: An Adversarial Patch Attack on Object Detectors. SafeAI@AAAI 2019 - [c224]Huanrui Yang, Jingchi Zhang, Hsin-Pai Cheng, Wenhan Wang, Yiran Chen, Hai Li:
Bamboo: Ball-Shape Data Augmentation Against Adversarial Attacks from All Directions. SafeAI@AAAI 2019 - [c222]Xuyang Guo, Yuanjun Huang, Hsin-Pai Cheng, Bing Li, Wei Wen, Siyuan Ma, Hai Helen Li, Yiran Chen:
Exploration of Automatic Mixed-Precision Search for Deep Neural Networks. AICAS 2019: 276-278 - [c221]Chuhan Min, Jiachen Mao, Hai Li, Yiran Chen:
NeuralHMC: an efficient HMC-based accelerator for deep neural networks. ASP-DAC 2019: 394-399 - [c220]Hsin-Pai Cheng, Juncheng Shen, Huanrui Yang, Qing Wu, Hai Li, Yiran Chen:
AdverQuil: an efficient adversarial detection and alleviation technique for black-box neuromorphic computing systems. ASP-DAC 2019: 518-525 - [c219]Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Syed Zawad, Feng Yan, Shiyu Li, Hai Helen Li, Yiran Chen:
Towards Decentralized Deep Learning with Differential Privacy. CLOUD 2019: 130-145 - [c218]Nathan Inkawhich, Wei Wen, Hai (Helen) Li, Yiran Chen:
Feature Space Perturbations Yield More Transferable Adversarial Examples. CVPR 2019: 7066-7074 - [c217]Jiachen Mao, Qing Yang, Ang Li, Hai Helen Li, Yiran Chen:
MobiEye: An Efficient Cloud-based Video Detection System for Real-time Mobile Applications. DAC 2019: 102 - [c214]Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen:
ZARA: A Novel Zero-free Dataflow Accelerator for Generative Adversarial Networks in 3D ReRAM. DAC 2019: 133 - [c211]Zichen Fan, Ziru Li, Bing Li, Yiran Chen, Hai Helen Li:
RED: A ReRAM-based Deconvolution Accelerator. DATE 2019: 1763-1768 - [c208]Yazhu Lan, Qingli Guo, Guohe Zhang, Yuanchao Xu, Kent W. Nixon, Hai Helen Li, Yiran Chen:
Fast Confidence Detection: One Hot Way to Detect Adversarial Attacks via Sensor Pattern Noise Fingerprinting. FPGA 2019: 188-189 - [c207]Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen:
HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array. HPCA 2019: 56-68 - [c206]Jingchi Zhang, Wei Wen, Michael Deisher, Hsin-Pai Cheng, Hai Helen Li, Yiran Chen:
Learning Efficient Sparse Structures in Speech Recognition. ICASSP 2019: 2717-2721 - [c205]Fan Chen, Wei Wen, Linghao Song, Jingchi Zhang, Hai Helen Li, Yiran Chen:
How to Obtain and Run Light and Efficient Deep Learning Networks. ICCAD 2019: 1-5 - [c204]Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Harris Teague, Yiran Chen, Hai Li:
MSNet: Structural Wired Neural Architecture Search for Internet of Things. ICCV Workshops 2019: 2033-2036 - [c203]Qilin Zheng, Jian Kang, Zongwei Wang, Yimao Cai, Ru Huang, Bing Li, Yiran Chen, Hai Helen Li:
Enhance the Robustness to Time Dependent Variability of ReRAM-Based Neuromorphic Computing Systems with Regularization and 2R Synapse. ISCAS 2019: 1-5 - [p2]Amr Mahmoud Hassan, Chenchen Liu, Chaofei Yang, Hai (Helen) Li, Yiran Chen:
Designing Neuromorphic Computing Systems with Memristor Devices. Handbook of Memristor Networks 2019: 469-494 - [i39]Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen:
HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array. CoRR abs/1901.02067 (2019) - [i35]Matthew Inkawhich, Yiran Chen, Hai Helen Li:
Snooping Attacks on Deep Reinforcement Learning. CoRR abs/1905.11832 (2019) - [i33]Bing Li, Mengjie Mao, Xiaoxiao Liu, Tao Liu, Zihao Liu, Wujie Wen, Yiran Chen, Hai Helen Li:
Thread Batching for High-performance Energy-efficient GPU Memory Design. CoRR abs/1906.05922 (2019) - [i32]Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Shiyu Li, Harris Teague, Hai Helen Li, Yiran Chen:
SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures. CoRR abs/1906.08305 (2019) - [i31]Zichen Fan, Ziru Li, Bing Li, Yiran Chen, Hai Helen Li:
RED: A ReRAM-based Deconvolution Accelerator. CoRR abs/1907.02987 (2019) - [i28]Juncheng Shen, Juzheng Liu, Yiran Chen, Hai Li:
Towards Efficient and Secure Delivery of Data for Deep Learning with Privacy-Preserving. CoRR abs/1909.07632 (2019) - [i27]Chunpeng Wu, Wei Wen, Yiran Chen, Hai Li:
Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-quality Data for Training. CoRR abs/1909.11308 (2019) - [i26]Jingchi Zhang, Jonathan Huang, Michael Deisher, Hai Li, Yiran Chen:
Structural sparsification for Far-field Speaker Recognition with GNA. CoRR abs/1910.11488 (2019) - [i25]Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Helen Li, Yiran Chen:
AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture. CoRR abs/1911.09251 (2019) - [i24]Wei Wen, Hanxiao Liu, Hai Li, Yiran Chen, Gabriel Bender, Pieter-Jan Kindermans:
Neural Predictor for Neural Architecture Search. CoRR abs/1912.00848 (2019) - 2018
- [j61]Bonan Yan, Yiran Chen, Hai Li:
Challenges of memristor based neuromorphic computing system. Sci. China Inf. Sci. 61(6): 060425:1-060425:3 (2018) - [j58]Yiran Chen, Hai (Helen) Li, Chunpeng Wu, Chang Song, Sicheng Li, Chuhan Min, Hsin-Pai Cheng, Wei Wen, Xiaoxiao Liu:
Neuromorphic computing's yesterday, today, and tomorrow - an evolutional view. Integr. 61: 49-61 (2018) - [j56]Danghui Wang, Lang Ma, Meng Zhang, Jianfeng An, Hai Helen Li, Yiran Chen:
Shift-Optimized Energy-Efficient Racetrack-Based Main Memory. J. Circuits Syst. Comput. 27(5): 1850081:1-1850081:16 (2018) - [j54]Zihao Liu, Mengjie Mao, Tao Liu, Xue Wang, Wujie Wen, Yiran Chen, Hai Li, Danghui Wang, Yukui Pei, Ning Ge:
TriZone: A Design of MLC STT-RAM Cache for Combined Performance, Energy, and Reliability Optimizations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(10): 1985-1998 (2018) - [c199]Xiaoxiao Liu, Wei Wen, Xuehai Qian, Hai Li, Yiran Chen:
Neu-NoC: A high-efficient interconnection network for accelerated neuromorphic systems. ASP-DAC 2018: 141-146 - [c197]Fan Chen, Zheng Li, Wang Kang, Weisheng Zhao, Hai Li, Yiran Chen:
Process variation aware data management for magnetic skyrmions racetrack memory. ASP-DAC 2018: 221-226 - [c196]Enes Eken, Ismail Bayram, Hai Helen Li, Yiran Chen:
Modeling of biaxial magnetic tunneling junction for multi-level cell STT-RAM realization. ASP-DAC 2018: 375-380 - [c195]Bing Li, Wei Wen, Jiachen Mao, Sicheng Li, Yiran Chen, Hai Helen Li:
Running sparse and low-precision neural network: When algorithm meets hardware. ASP-DAC 2018: 534-539 - [c194]Xiaotao Jia, Jianlei Yang, Zhaohao Wang, Yiran Chen, Hai Helen Li, Weisheng Zhao:
Spintronics based stochastic computing for efficient Bayesian inference system. ASP-DAC 2018: 580-585 - [c191]Bonan Yan, Fan Chen, Yaojun Zhang, Chang Song, Hai Li, Yiran Chen:
Exploring the opportunity of implementing neuromorphic computing systems with spintronic devices. DATE 2018: 109-112 - [c190]Houxiang Ji, Linghao Song, Li Jiang, Hai Helen Li, Yiran Chen:
ReCom: An efficient resistive accelerator for compressed deep neural networks. DATE 2018: 237-240 - [c188]Bing Li, Linghao Song, Fan Chen, Xuehai Qian, Yiran Chen, Hai Helen Li:
ReRAM-based accelerator for deep learning. DATE 2018: 815-820 - [c187]Amr M. Hassan, Aya F. Khalaf, Khaled S. Sayed, Hai Helen Li, Yiran Chen:
Real-Time Cardiac Arrhythmia Classification Using Memristor Neuromorphic Computing System. EMBC 2018: 2567-2570 - [c185]Peng Wang, Shuo Li, Guangyu Sun, Xiaoyang Wang, Yiran Chen, Hai Li, Jason Cong, Nong Xiao, Tao Zhang:
RC-NVM: Enabling Symmetric Row and Column Memory Accesses for In-memory Databases. HPCA 2018: 518-530 - [c184]Linghao Song, Youwei Zhuo, Xuehai Qian, Hai Helen Li, Yiran Chen:
GraphR: Accelerating Graph Processing Using ReRAM. HPCA 2018: 531-543 - [c182]Kent W. Nixon, Jiachen Mao, Juncheng Shen, Huanrui Yang, Hai (Helen) Li, Yiran Chen:
SPN dash: fast detection of adversarial attacks on mobile via sensor pattern noise fingerprinting. ICCAD 2018: 132 - [c181]Wei Wen, Yuxiong He, Samyam Rajbhandari, Minjia Zhang, Wenhan Wang, Fang Liu, Bin Hu, Yiran Chen, Hai Li:
Learning Intrinsic Sparse Structures within Long Short-Term Memory. ICLR (Poster) 2018 - [c180]Hao Jiang, Kevin Yamada, Zizhe Ren, Thomas Kwok, Fu Luo, Qing Yang, Xiaorong Zhang, J. Joshua Yang, Qiangfei Xia, Yiran Chen, Hai Helen Li, Qing Wu, Mark Barnell:
Pulse-Width Modulation based Dot-Product Engine for Neuromorphic Computing System using Memristor Crossbar Array. ISCAS 2018: 1-4 - [c179]Bing Li, Fan Chen, Wang Kang, Weisheng Zhao, Yiran Chen, Hai Li:
Design and Data Management for Magnetic Racetrack Memory. ISCAS 2018: 1-4 - [c178]Chang Song, Hsin-Pai Cheng, Huanrui Yang, Sicheng Li, Chunpeng Wu, Qing Wu, Yiran Chen, Hai Li:
MAT: A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks. ISVLSI 2018: 476-481 - [i23]Jianlei Yang, Xueyan Wang, Qiang Zhou, Zhaohao Wang, Hai Li, Yiran Chen, Weisheng Zhao:
Exploiting Spin-Orbit Torque Devices as Reconfigurable Logic for Circuit Obfuscation. CoRR abs/1802.02789 (2018) - [i22]Wei Wen, Yandan Wang, Feng Yan, Cong Xu, Yiran Chen, Hai Li:
SmoothOut: Smoothing Out Sharp Minima for Generalization in Large-Batch Deep Learning. CoRR abs/1805.07898 (2018) - [i21]Xin Liu, Huanrui Yang, Linghao Song, Hai Li, Yiran Chen:
DPatch: Attacking Object Detectors with Adversarial Patches. CoRR abs/1806.02299 (2018) - [i17]Hsin-Pai Cheng, Yuanjun Huang, Xuyang Guo, Yifei Huang, Feng Yan, Hai Li, Yiran Chen:
Differentiable Fine-grained Quantization for Deep Neural Network Compression. CoRR abs/1810.10351 (2018) - [i15]Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Feng Yan, Shiyu Li, Hai Li, Yiran Chen:
LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning. CoRR abs/1811.11124 (2018) - [i14]Nathan Inkawhich, Matthew Inkawhich, Yiran Chen, Hai Li:
Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers. CoRR abs/1811.11875 (2018) - [i12]Jingyang Zhang, Hsin-Pai Cheng, Chunpeng Wu, Hai Li, Yiran Chen:
Towards Leveraging the Information of Gradients in Optimization-based Adversarial Attack. CoRR abs/1812.02524 (2018) - 2017
- [j52]Hai (Helen) Li, Yiran Chen, Chenchen Liu, John Paul Strachan, Noraica Davila:
Looking Ahead for Resistive Memory Technology: A broad perspective on ReRAM technology for future storage and computing. IEEE Consumer Electron. Mag. 6(1): 94-103 (2017) - [j50]Yiran Chen, Hai Helen Li, Ismail Bayram, Enes Eken:
Recent Technology Advances of Emerging Memories. IEEE Des. Test 34(3): 8-22 (2017) - [j48]Enes Eken, Ismail Bayram, Yaojun Zhang, Bonan Yan, Wenqing Wu, Hai (Helen) Li, Yiran Chen:
Giant Spin-Hall assisted STT-RAM and logic design. Integr. 58: 253-261 (2017) - [j44]Mengjie Mao, Wujie Wen, Yaojun Zhang, Yiran Chen, Hai Li:
An Energy-Efficient GPGPU Register File Architecture Using Racetrack Memory. IEEE Trans. Computers 66(9): 1478-1490 (2017) - [j43]Jie Guo, Wujie Wen, Jingtong Hu, Danghui Wang, Hai Helen Li, Yiran Chen:
FlexLevel NAND Flash Storage System Design to Reduce LDPC Latency. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(7): 1167-1180 (2017) - [j41]Miao Hu, Yiran Chen, J. Joshua Yang, Yu Wang, Hai Helen Li:
A Compact Memristor-Based Dynamic Synapse for Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(8): 1353-1366 (2017) - [c174]Chuhan Min, Jie Guo, Hai Li, Yiran Chen:
Extending the lifetime of object-based NAND flash device with STT-RAM/DRAM hybrid buffer. ASP-DAC 2017: 764-769 - [c173]Chunpeng Wu, Wei Wen, Tariq Afzal, Yongmei Zhang, Yiran Chen, Hai Li:
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation. CVPR 2017: 761-770 - [c171]Hsin-Pai Cheng, Wei Wen, Chunpeng Wu, Sicheng Li, Hai Helen Li, Yiran Chen:
Understanding the design of IBM neurosynaptic system and its tradeoffs: A user perspective. DATE 2017: 139-144 - [c170]Amr M. Hassan, Chaofei Yang, Chenchen Liu, Hai Helen Li, Yiran Chen:
Hybrid spiking-based multi-layered self-learning neuromorphic system based on memristor crossbar arrays. DATE 2017: 776-781 - [c168]Sicheng Li, Wei Wen, Yu Wang, Song Han, Yiran Chen, Hai Li:
An FPGA Design Framework for CNN Sparsification and Acceleration. FCCM 2017: 28 - [c166]Linghao Song, Xuehai Qian, Hai Li, Yiran Chen:
PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning. HPCA 2017: 541-552 - [c165]Jiachen Mao, Zhuwei Qin, Zirui Xu, Kent W. Nixon, Xiang Chen, Hai Li, Yiran Chen:
AdaLearner: An adaptive distributed mobile learning system for neural networks. ICCAD 2017: 291-296 - [c164]Bonan Yan, Jianhua Joshua Yang, Qing Wu, Yiran Chen, Hai Li:
A closed-loop design to enhance weight stability of memristor based neural network chips. ICCAD 2017: 541-548 - [c163]Jiachen Mao, Zhongda Yang, Wei Wen, Chunpeng Wu, Linghao Song, Kent W. Nixon, Xiang Chen, Hai Li, Yiran Chen:
MeDNN: A distributed mobile system with enhanced partition and deployment for large-scale DNNs. ICCAD 2017: 751-756 - [c161]Wei Wen, Cong Xu, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li:
Coordinating Filters for Faster Deep Neural Networks. ICCV 2017: 658-666 - [c160]Jongsoo Park, Sheng R. Li, Wei Wen, Ping Tak Peter Tang, Hai Li, Yiran Chen, Pradeep Dubey:
Faster CNNs with Direct Sparse Convolutions and Guided Pruning. ICLR (Poster) 2017 - [c158]Amr M. Hassan, Hai Helen Li, Yiran Chen:
Hardware implementation of echo state networks using memristor double crossbar arrays. IJCNN 2017: 2171-2177 - [c156]Wei Wen, Cong Xu, Feng Yan, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li:
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning. NIPS 2017: 1509-1519 - [c155]Chang Song, Beiye Liu, Wei Wen, Hai Li, Yiran Chen:
A quantization-aware regularized learning method in multilevel memristor-based neuromorphic computing system. NVMSA 2017: 1-6 - [c154]Lucie Broyde, Kent W. Nixon, Xiang Chen, Hai Li, Yiran Chen:
MobiCore: An adaptive hybrid approach for power-efficient CPU management on Android devices. SoCC 2017: 221-226 - [i11]Chaofei Yang, Qing Wu, Hai Li, Yiran Chen:
Generative Poisoning Attack Method Against Neural Networks. CoRR abs/1703.01340 (2017) - [i10]Chunpeng Wu, Wei Wen, Tariq Afzal, Yongmei Zhang, Yiran Chen, Hai Li:
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation. CoRR abs/1703.04071 (2017) - [i9]Wei Wen, Cong Xu, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li:
Coordinating Filters for Faster Deep Neural Networks. CoRR abs/1703.09746 (2017) - [i8]Wei Wen, Cong Xu, Feng Yan, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li:
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning. CoRR abs/1705.07878 (2017) - [i7]Chang Song, Hsin-Pai Cheng, Chunpeng Wu, Hai Li, Yiran Chen, Qing Wu:
A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks. CoRR abs/1705.09764 (2017) - [i6]Linghao Song, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen:
GraphR: Accelerating Graph Processing Using ReRAM. CoRR abs/1708.06248 (2017) - [i5]Wei Wen, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Fang Liu, Bin Hu, Yiran Chen, Hai Li:
Learning Intrinsic Sparse Structures within Long Short-term Memory. CoRR abs/1709.05027 (2017) - [i4]Xiaotao Jia, Jianlei Yang, Zhaohao Wang, Yiran Chen, Hai Li, Weisheng Zhao:
Spintronics based Stochastic Computing for Efficient Bayesian Inference System. CoRR abs/1711.01125 (2017) - 2016
- [j38]Jianlei Yang, Zhenyu Sun, Xiaobin Wang, Yiran Chen, Hai Li:
Spintronic Memristor as Interface Between DNA and Solid State Devices. IEEE J. Emerg. Sel. Topics Circuits Syst. 6(2): 212-221 (2016) - [j37]Chunpeng Wu, Hsin-Pai Cheng, Sicheng Li, Hai (Helen) Li, Yiran Chen:
ApesNet: a pixel-wise efficient segmentation network for embedded devices. IET Cyper-Phys. Syst.: Theory & Appl. 1(1): 78-85 (2016) - [j34]Jianlei Yang, Peiyuan Wang, Yaojun Zhang, Yuanqing Cheng, Weisheng Zhao, Yiran Chen, Hai (Helen) Li:
Radiation-Induced Soft Error Analysis of STT-MRAM: A Device to Circuit Approach. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(3): 380-393 (2016) - [j32]Xiaoxiao Liu, Mengjie Mao, Beiye Liu, Boxun Li, Yu Wang, Hao Jiang, Mark Barnell, Qing Wu, Jianhua Joshua Yang, Hai Li, Yiran Chen:
Harmonica: A Framework of Heterogeneous Computing Systems With Memristor-Based Neuromorphic Computing Accelerators. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(5): 617-628 (2016) - [c152]Xian Zhang, Guangyu Sun, Yaojun Zhang, Yiran Chen, Hai Li, Wujie Wen, Jia Di:
A novel PUF based on cell error rate distribution of STT-RAM. ASP-DAC 2016: 342-347 - [c148]Wei Wen, Chunpeng Wu, Yandan Wang, Kent W. Nixon, Qing Wu, Mark Barnell, Hai Li, Yiran Chen:
A new learning method for inference accuracy, core occupation, and performance co-optimization on TrueNorth chip. DAC 2016: 18:1-18:6 - [c147]Mengjie Mao, Wujie Wen, Xiaoxiao Liu, Jingtong Hu, Danghui Wang, Yiran Chen, Hai Li:
TEMP: thread batch enabled memory partitioning for GPU. DAC 2016: 65:1-65:6 - [c143]Xue Wang, Mengjie Mao, Enes Eken, Wujie Wen, Hai Li, Yiran Chen:
Sliding Basket: An adaptive ECC scheme for runtime write failure suppression of STT-RAM cache. DATE 2016: 762-767 - [c142]Wujie Wen, Mengjie Mao, Hai Li, Yiran Chen, Yukui Pei, Ning Ge:
A holistic tri-region MLC STT-RAM design with combined performance, energy, and reliability optimizations. DATE 2016: 1285-1290 - [c140]Chunpeng Wu, Hsin-Pai Cheng, Sicheng Li, Hai Helen Li, Yiran Chen:
ApesNet: A Pixel-wise Efficient Segmentation Network. ESTIMedia 2016: 2-8 - [c139]Chaofei Yang, Beiye Liu, Yandan Wang, Yiran Chen, Hai Li, Xian Zhang, Guangyu Sun:
The Applications of NVM Technology in Hardware Security. ACM Great Lakes Symposium on VLSI 2016: 311-316 - [c136]Sicheng Li, Yandan Wang, Wujie Wen, Yu Wang, Yiran Chen, Hai Li:
A data locality-aware design framework for reconfigurable sparse matrix-vector multiplication kernel. ICCAD 2016: 14 - [c135]Chaofei Yang, Beiye Liu, Hai Li, Yiran Chen, Wujie Wen, Mark Barnell, Qing Wu, Jeyavijayan Rajendran:
Security of neuromorphic computing: thwarting learning attacks using memristor's obsolescence effect. ICCAD 2016: 97 - [c134]Chaofei Yang, Chunpeng Wu, Hai Li, Yiran Chen, Mark Barnell, Qing Wu:
Security challenges in smart surveillance systems and the solutions based on emerging nano-devices. ICCAD 2016: 109 - [c133]Chang Song, Beiye Liu, Chenchen Liu, Hai Li, Yiran Chen:
Design techniques of eNVM-enabled neuromorphic computing systems. ICCD 2016: 674-677 - [c132]Chenchen Liu, Yiran Chen, Hai Li:
Neural processor design enabled by memristor technology. ICRC 2016: 1-4 - [c131]Sicheng Li, Xiaoxiao Liu, Mengjie Mao, Hai (Helen) Li, Yiran Chen, Boxun Li, Yu Wang:
Heterogeneous systems with reconfigurable neuromorphic computing accelerators. ISCAS 2016: 125-128 - [c130]Somnath Chakraborty, Saumil Joshi, Qiangfei Xia, Hai Li, Yiran Chen, Hao Jiang, Qing Wu, Mark Barnell, J. Joshua Yang:
Built-in selectors self-assembled into memristors. ISCAS 2016: 181-184 - [c127]Beiye Liu, Chaofei Yang, Hai Li, Yiran Chen, Qing Wu, Mark Barnell:
Security of neuromorphic systems: Challenges and solutions. ISCAS 2016: 1326-1329 - [c126]Bonan Yan, Amr Mahmoud Mahmoud, Jianhua Joshua Yang, Qing Wu, Yiran Chen, Hai (Helen) Li:
A neuromorphic ASIC design using one-selector-one-memristor crossbar. ISCAS 2016: 1390-1393 - [c125]Zheng Li, Xiuyuan Bi, Hai (Helen) Li, Yiran Chen, Jianying Qin, Peng Guo, Wenjie Kong, Wenshan Zhan, Xiufeng Han, Hong Zhang, Lingling Wang, Guanping Wu, Hanming Wu:
Design and Implementation of a 4Kb STT-MRAM with Innovative 200nm Nano-ring Shaped MTJ. ISLPED 2016: 4-9 - [c124]Hsin-Pai Cheng, Wei Wen, Chang Song, Beiye Liu, Hai Li, Yiran Chen:
Exploring the optimal learning technique for IBM TrueNorth platform to overcome quantization loss. NANOARCH 2016: 185-190 - [c123]Wei Wen, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li:
Learning Structured Sparsity in Deep Neural Networks. NIPS 2016: 2074-2082 - [c122]Jie Guo, Chuhan Min, Tao Cai, Hai Li, Yiran Chen:
Objnandsim: object-based NAND flash device simulator. NVMSA 2016: 1-6 - [c120]Enes Eken, Ismail Bayram, Yaojun Zhang, Bonan Yan, Wenqing Wu, Hai (Helen) Li, Yiran Chen:
Spin-Hall Assisted STT-RAM Design and Discussion. SLIP 2016: 7:1-7:4 - [i3]Wei Wen, Chunpeng Wu, Yandan Wang, Kent W. Nixon, Qing Wu, Mark Barnell, Hai Li, Yiran Chen:
A New Learning Method for Inference Accuracy, Core Occupation, and Performance Co-optimization on TrueNorth Chip. CoRR abs/1604.00697 (2016) - [i2]Jongsoo Park, Sheng R. Li, Wei Wen, Hai Li, Yiran Chen, Pradeep Dubey:
Holistic SparseCNN: Forging the Trident of Accuracy, Speed, and Size. CoRR abs/1608.01409 (2016) - [i1]Wei Wen, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li:
Learning Structured Sparsity in Deep Neural Networks. CoRR abs/1608.03665 (2016) - 2015
- [j26]Yaojun Zhang, Yong Li, Zhenyu Sun, Hai Li, Yiran Chen, Alex K. Jones:
Read Performance: The Newest Barrier in Scaled STT-RAM. IEEE Trans. Very Large Scale Integr. Syst. 23(6): 1170-1174 (2015) - [c116]Xiaoxiao Liu, Mengjie Mao, Xiuyuan Bi, Hai Li, Yiran Chen:
An efficient STT-RAM-based register file in GPU architectures. ASP-DAC 2015: 490-495 - [c115]Hai (Helen) Li, Chenchen Liu, Bonan Yan, Chaofei Yang, Linghao Song, Zheng Li, Yiran Chen, Weijie Zhu, Qing Wu, Hao Jiang:
Spiking-based matrix computation by leveraging memristor crossbar array. CISDA 2015: 1-4 - [c113]Chenchen Liu, Bonan Yan, Chaofei Yang, Linghao Song, Zheng Li, Beiye Liu, Yiran Chen, Hai Li, Qing Wu, Hao Jiang:
A spiking neuromorphic design with resistive crossbar. DAC 2015: 14:1-14:6 - [c112]Beiye Liu, Hai Li, Yiran Chen, Xin Li, Qing Wu, Tingwen Huang:
Vortex: variation-aware training for memristor X-bar. DAC 2015: 15:1-15:6 - [c109]Xiaoxiao Liu, Mengjie Mao, Beiye Liu, Hai Li, Yiran Chen, Boxun Li, Yu Wang, Hao Jiang, Mark Barnell, Qing Wu, Jianhua Joshua Yang:
RENO: a high-efficient reconfigurable neuromorphic computing accelerator design. DAC 2015: 66:1-66:6 - [c108]Mengjie Mao, Jingtong Hu, Yiran Chen, Hai Li:
VWS: a versatile warp scheduler for exploring diverse cache localities of GPGPU applications. DAC 2015: 83:1-83:6 - [c107]Beiye Liu, Chunpeng Wu, Hai Li, Yiran Chen, Qing Wu, Mark Barnell, Qinru Qiu:
Cloning your mind: security challenges in cognitive system designs and their solutions. DAC 2015: 95:1-95:5 - [c106]Jie Guo, Wujie Wen, Jingtong Hu, Danghui Wang, Hai Li, Yiran Chen:
FlexLevel: a novel NAND flash storage system design for LDPC latency reduction. DAC 2015: 194:1-194:6 - [c104]Yaojun Zhang, Bonan Yan, Wenqing Wu, Hai Li, Yiran Chen:
Giant spin hall effect (GSHE) logic design for low power application. DATE 2015: 1000-1005 - [c102]Hai Li, Beiye Liu, Xiaoxiao Liu, Mengjie Mao, Yiran Chen, Qing Wu, Qinru Qiu:
The applications of memristor devices in next-generation cortical processor designs. ISCAS 2015: 17-20 - [c101]Zheng Li, Bonan Yan, Lun Yang, Weisheng Zhao, Yiran Chen, Hai Li:
A new self-reference sensing scheme for TLC MRAM. ISCAS 2015: 593-596 - [c98]Beiye Liu, Xiaoxiao Liu, Chenchen Liu, Wei Wen, M. Meng, Hai Li, Yiran Chen:
Hardware acceleration for neuromorphic computing: An evolving view. NVMTS 2015: 1-4 - 2014
- [j23]Miao Hu, Hai Li, Yiran Chen, Qing Wu, Garrett S. Rose, Richard W. Linderman:
Memristor Crossbar-Based Neuromorphic Computing System: A Case Study. IEEE Trans. Neural Networks Learn. Syst. 25(10): 1864-1878 (2014) - [c93]Miao Hu, Yu Wang, Qinru Qiu, Yiran Chen, Hai Li:
The stochastic modeling of TiO2 memristor and its usage in neuromorphic system design. ASP-DAC 2014: 831-836 - [c89]Enes Eken, Yaojun Zhang, Wujie Wen, Rajiv V. Joshi, Hai Li, Yiran Chen:
A New Field-assisted Access Scheme of STT-RAM with Self-reference Capability. DAC 2014: 63:1-63:6 - [c87]Mengjie Mao, Wujie Wen, Yaojun Zhang, Yiran Chen, Hai (Helen) Li:
Exploration of GPGPU Register File Architecture Using Domain-wall-shift-write based Racetrack Memory. DAC 2014: 196:1-196:6 - [c85]Boxun Li, Yu Wang, Yiran Chen, Hai (Helen) Li, Huazhong Yang:
ICE: Inline calibration for memristor crossbar-based computing engine. DATE 2014: 1-4 - [c82]Xiaoxiao Liu, Mengjie Mao, Hai Li, Yiran Chen, Hao Jiang, J. Joshua Yang, Qing Wu, Mark Barnell:
A heterogeneous computing system with memristor-based neuromorphic accelerators. HPEC 2014: 1-6 - [c81]Beiye Liu, Hai Li, Yiran Chen, Xin Li, Tingwen Huang, Qing Wu, Mark Barnell:
Reduction and IR-drop compensations techniques for reliable neuromorphic computing systems. ICCAD 2014: 63-70 - [c79]Ling Chen, Chuandong Li, Tingwen Huang, Xing He, Hai Li, Yiran Chen:
STDP learning rule based on memristor with STDP property. IJCNN 2014: 1-6 - [c78]Xiaofang Hu, Gang Feng, Hai Li, Yiran Chen, Shukai Duan:
An adjustable memristor model and its application in small-world neural networks. IJCNN 2014: 7-14 - [c77]Qing Wu, Beiye Liu, Yiran Chen, Hai Li, Qiuwen Chen, Qinru Qiu:
Bio-inspired computing with resistive memories - models, architectures and applications. ISCAS 2014: 834-837 - [c76]Hai Li, Xiaoxiao Liu, Mengjie Mao, Yiran Chen, Qing Wu, Mark Barnell:
Neuromorphic hardware acceleration enabled by emerging technologies (Invited paper). ISIC 2014: 124-127 - 2013
- [j22]Yiran Chen, Weng-Fai Wong, Hai Li, Cheng-Kok Koh, Yaojun Zhang, Wujie Wen:
On-chip caches built on multilevel spin-transfer torque RAM cells and its optimizations. ACM J. Emerg. Technol. Comput. Syst. 9(2): 16:1-16:22 (2013) - [j17]Yong Li, Yaojun Zhang, Hai Li, Yiran Chen, Alex K. Jones:
C1C: A configurable, compiler-guided STT-RAM L1 cache. ACM Trans. Archit. Code Optim. 10(4): 52:1-52:22 (2013) - [j16]Bo Zhao, Jun Yang, Youtao Zhang, Yiran Chen, Hai Li:
Common-source-line array: An area efficient memory architecture for bipolar nonvolatile devices. ACM Trans. Design Autom. Electr. Syst. 18(4): 57:1-57:18 (2013) - [c69]Miao Hu, Hai Li, Yiran Chen, Qing Wu, Garrett S. Rose:
BSB training scheme implementation on memristor-based circuit. CISDA 2013: 80-87 - [c67]Beiye Liu, Miao Hu, Hai Li, Yiran Chen, Chun Xue:
Bio-inspired ultra lower-power neuromorphic computing engine for embedded systems. CODES+ISSS 2013: 23:1 - [c66]Beiye Liu, Miao Hu, Hai Li, Zhi-Hong Mao, Yiran Chen, Tingwen Huang, Wei Zhang:
Digital-assisted noise-eliminating training for memristor crossbar-based analog neuromorphic computing engine. DAC 2013: 7:1-7:6 - [c65]Jie Guo, Wujie Wen, Yaojun Zhang, Sicheng Li, Hai Li, Yiran Chen:
DA-RAID-5: a disturb aware data protection technique for NAND flash storage systems. DATE 2013: 380-385 - [c62]Mengjie Mao, Hai (Helen) Li, Alex K. Jones, Yiran Chen:
Coordinating prefetching and STT-RAM based last-level cache management for multicore systems. ACM Great Lakes Symposium on VLSI 2013: 55-60 - [c60]Yaojun Zhang, Ismail Bayram, Yu Wang, Hai Li, Yiran Chen:
ADAMS: asymmetric differential STT-RAM cell structure for reliable and high-performance applications. ICCAD 2013: 9-16 - 2012
- [j13]Zhenyu Sun, Xiang Chen, Yaojun Zhang, Hai Li, Yiran Chen:
Nonvolatile Memories as the Data Storage System for Implantable ECG Recorder. ACM J. Emerg. Technol. Comput. Syst. 8(2): 13:1-13:16 (2012) - [j12]Yiran Chen, Hai Li, Xiaobin Wang, Wenzhong Zhu, Wei Xu, Tong Zhang:
A 130 nm 1.2 V/3.3 V 16 Kb Spin-Transfer Torque Random Access Memory With Nondestructive Self-Reference Sensing Scheme. IEEE J. Solid State Circuits 47(2): 560-573 (2012) - [j11]Zhenyu Sun, Hai Li, Yiran Chen, Xiaobin Wang:
Voltage Driven Nondestructive Self-Reference Sensing Scheme of Spin-Transfer Torque Memory. IEEE Trans. Very Large Scale Integr. Syst. 20(11): 2020-2030 (2012) - [c54]Xiang Chen, Jian Zheng, Yiran Chen, Wei Zhang, Hai Li:
Fine-grained dynamic voltage scaling on OLED display. ASP-DAC 2012: 807-812 - [c53]Robinson E. Pino, Hai (Helen) Li, Yiran Chen, Miao Hu, Beiye Liu:
Statistical memristor modeling and case study in neuromorphic computing. DAC 2012: 585-590 - [c50]Xiuyuan Bi, Chao Zhang, Hai Li, Yiran Chen, Robinson E. Pino:
Spintronic memristor based temperature sensor design with CMOS current reference. DATE 2012: 1301-1306 - [c48]Bo Zhao, Jun Yang, Youtao Zhang, Yiran Chen, Hai Li:
Architecting a common-source-line array for bipolar non-volatile memory devices. DATE 2012: 1451-1454 - [c42]Miao Hu, Hai Li, Qing Wu, Garrett S. Rose, Yiran Chen:
Memristor crossbar based hardware realization of BSB recall function. IJCNN 2012: 1-7 - [r1]Yiran Chen, Hai Li, Yuan Xie, Dimin Niu:
Low-Power Design of Emerging Memory Technologies. Handbook of Energy-Aware and Green Computing 2012: 67-90 - 2011
- [j10]Xiangyu Dong, Xiaoxia Wu, Yuan Xie, Yiran Chen, Hai (Helen) Li:
Stacking magnetic random access memory atop microprocessors: an architecture-level evaluation. IET Comput. Digit. Tech. 5(3): 213-220 (2011) - [j9]Miao Hu, Hai (Helen) Li, Yiran Chen, Xiaobin Wang:
Spintronic Memristor: Compact Model and Statistical Analysis. J. Low Power Electron. 7(2): 234-244 (2011) - [c36]Miao Hu, Hai Li, Yiran Chen, Xiaobin Wang, Robinson E. Pino:
Geometry variations analysis of TiO2 thin-film and spintronic memristors. ASP-DAC 2011: 25-30 - [c35]Yiran Chen, Hai Li:
Emerging sensing techniques for emerging memories. ASP-DAC 2011: 204-210 - [c34]Peiyuan Wang, Xiang Chen, Yiran Chen, Hai Li, Seung-Hyuk Kang, Xiaochun Zhu, Wenqing Wu:
A 1.0V 45nm nonvolatile magnetic latch design and its robustness analysis. CICC 2011: 1-4 - [c33]Chun Jason Xue, Youtao Zhang, Yiran Chen, Guangyu Sun, Jianhua Joshua Yang, Hai Li:
Emerging non-volatile memories: opportunities and challenges. CODES+ISSS 2011: 325-334 - [c32]Yi-Chung Chen, Hai Li, Yiran Chen, Robinson E. Pino:
3D-ICML: A 3D bipolar ReRAM design with interleaved complementary memory layers. DATE 2011: 583-586 - [c30]Yiran Chen, Weng-Fai Wong, Hai Li, Cheng-Kok Koh:
Processor caches with multi-level spin-transfer torque ram cells. ISLPED 2011: 73-78 - 2010
- [j6]Yiran Chen, Hai Li, Cheng-Kok Koh, Guangyu Sun, Jing Li, Yuan Xie, Kaushik Roy:
Variable-Latency Adder (VL-Adder) Designs for Low Power and NBTI Tolerance. IEEE Trans. Very Large Scale Integr. Syst. 18(11): 1621-1624 (2010) - [j5]Yiran Chen, Xiaobin Wang, Hai Li, Haiwen Xi, Yuan Yan, Wenzhong Zhu:
Design Margin Exploration of Spin-Transfer Torque RAM (STT-RAM) in Scaled Technologies. IEEE Trans. Very Large Scale Integr. Syst. 18(12): 1724-1734 (2010) - [c28]Yiran Chen, Hai Li, Xiaobin Wang, Wenzhong Zhu, Wei Xu, Tong Zhang:
A nondestructive self-reference scheme for Spin-Transfer Torque Random Access Memory (STT-RAM). DATE 2010: 148-153 - [c26]Guangyu Sun, Yongsoo Joo, Yibo Chen, Dimin Niu, Yuan Xie, Yiran Chen, Hai Li:
A Hybrid solid-state storage architecture for the performance, energy consumption, and lifetime improvement. HPCA 2010: 1-12 - [c25]Zhenyu Sun, Hai Li, Yiran Chen, Xiaobin Wang:
Variation tolerant sensing scheme of Spin-Transfer Torque Memory for yield improvement. ICCAD 2010: 432-437 - [c24]Yiran Chen, Hai Li, Xiaobin Wang, Wenzhong Zhu, Wei Xu, Tong Zhang:
Combined magnetic- and circuit-level enhancements for the nondestructive self-reference scheme of STT-RAM. ISLPED 2010: 1-6 - [c22]Yiran Chen, Wei Tian, Hai Li, Xiaobin Wang, Wenzhong Zhu:
Scalability of PCMO-based resistive switch device in DSM technologies. ISQED 2010: 327-332 - 2009
- [j4]Cheng-Kok Koh, Weng-Fai Wong, Yiran Chen, Hai Li:
Tolerating process variations in large, set-associative caches: The buddy cache. ACM Trans. Archit. Code Optim. 6(2): 8:1-8:34 (2009) - [j3]Yiran Chen, Hai Li, Kaushik Roy, Cheng-Kok Koh:
Gated Decap: Gate Leakage Control of On-Chip Decoupling Capacitors in Scaled Technologies. IEEE Trans. Very Large Scale Integr. Syst. 17(12): 1749-1752 (2009) - [c20]Hai Li, Yiran Chen:
An overview of non-volatile memory technology and the implication for tools and architectures. DATE 2009: 731-736 - [c18]Cheng-Kok Koh, Weng-Fai Wong, Yiran Chen, Hai Li:
The salvage cache: A fault-tolerant cache architecture for next-generation memory technologies. ICCD 2009: 268-274 - [c17]Hai Li, Haiwen Xi, Yiran Chen, John Stricklin, Xiaobin Wang, Tong Zhang:
Thermal-Assisted Spin Transfer Torque Memory (STT-RAM) Cell Design Exploration. ISVLSI 2009: 217-222 - 2008
- [c15]Xiangyu Dong, Xiaoxia Wu, Guangyu Sun, Yuan Xie, Hai Li, Yiran Chen:
Circuit and microarchitecture evaluation of 3D stacking magnetic RAM (MRAM) as a universal memory replacement. DAC 2008: 554-559 - [c13]Yiran Chen, Xiaobin Wang, Hai Li, Harry Liu, Dimitar V. Dimitrov:
Design Margin Exploration of Spin-Torque Transfer RAM (SPRAM). ISQED 2008: 684-690 - 2007
- [c12]Weng-Fai Wong, Cheng-Kok Koh, Yiran Chen, Hai Li:
VOSCH: Voltage scaled cache hierarchies. ICCD 2007: 496-503 - [c11]Yiran Chen, Hai Li, Jing Li, Cheng-Kok Koh:
Variable-latency adder (VL-adder): new arithmetic circuit design practice to overcome NBTI. ISLPED 2007: 195-200 - 2006
- [c9]Hai Li, Yiran Chen, Kaushik Roy, Cheng-Kok Koh:
SAVS: a self-adaptive variable supply-voltage technique for process- tolerant and power-efficient multi-issue superscalar processor design. ASP-DAC 2006: 158-163 - 2005
- [c8]Yiran Chen, Hai Li, Kaushik Roy, Cheng-Kok Koh:
Gated Decap: gate leakage control of on-chip decoupling capacitors in scaled technologies. CICC 2005: 775-778 - [c6]Yiran Chen, Hai Li, Kaushik Roy, Cheng-Kok Koh:
Cascaded carry-select adder (C2SA): a new structure for low-power CSA design. ISLPED 2005: 115-118 - 2004
- [j1]Hai Li, Swarup Bhunia, Yiran Chen, Kaushik Roy, T. N. Vijaykumar:
DCG: deterministic clock-gating for low-power microprocessor design. IEEE Trans. Very Large Scale Integr. Syst. 12(3): 245-254 (2004) - 2003
- [c3]Hai Li, Swarup Bhunia, Yiran Chen, T. N. Vijaykumar, Kaushik Roy:
Deterministic Clock Gating for Microprocessor Power Reduction. HPCA 2003: 113-122
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last updated on 2025-12-09 00:31 CET by the dblp team
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