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ORCIDYidong Wang 0003
Person information
- affiliation: Peking University, Beijing, China
Other persons with the same name
- Yidong Wang — disambiguation page
- Yidong Wang 0001
![[0000-0001-6365-259X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-6365-259X")
— Peking University, Beijing, China - Yidong Wang 0002 — Beijing Jiaotong University, Beijing, China
- Yidong Wang 0004 — Beijing University of Posts and Telecommunications, Beijing, China
- Yidong Wang 0005 — Tianjin Normal University, Tianjin, China
- Yidong Wang 0006 — King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
- Yidong Wang 0007 — Swansea University, Swansea, Abertawe, UK
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2020 – today
- 2026
[j7]Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Qipeng Guo, Xiangkun Hu, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Xuming Hu, Zehan Qi, Wenyang Gao, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang:
Survey on Factuality in Large Language Models. ACM Comput. Surv. 58(1): 13:1-13:37 (2026)- 2025
- [j6]Chen Fang, Yidong Wang, Yunze Song, Qingqing Long, Wang Lu, Linghui Chen, Guihai Feng, Yuanchun Zhou, Xin Li:
How Do Large Language Models Understand Genes and Cells. ACM Trans. Intell. Syst. Technol. 16(6): 141:1-141:16 (2025) - [j5]Chuanpeng Yang, Yao Zhu, Wang Lu, Yidong Wang, Qian Chen, Chenlong Gao, Bingjie Yan, Yiqiang Chen:
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application. ACM Trans. Intell. Syst. Technol. 16(6): 143:1-143:27 (2025) - [c21]Zhuohao Yu, Weizheng Gu, Yidong Wang, Xingru Jiang, Zhengran Zeng, Jindong Wang, Wei Ye, Shikun Zhang:
Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation. ICML 2025 - [c20]Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj:
Masked Autoencoders Are Effective Tokenizers for Diffusion Models. ICML 2025 - [i36]Zihui Cheng, Qiguang Chen, Xiao Xu, Jiaqi Wang, Weiyun Wang, Hao Fei, Yidong Wang, Alex Jinpeng Wang, Zhi Chen, Wanxiang Che, Libo Qin:
Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought. CoRR abs/2505.15510 (2025) - [i35]Zhuohao Yu, Jiali Zeng, Weizheng Gu, Yidong Wang, Jindong Wang, Fandong Meng, Jie Zhou, Yue Zhang, Shikun Zhang, Wei Ye:
RewardAnything: Generalizable Principle-Following Reward Models. CoRR abs/2506.03637 (2025) - [i34]Yidong Wang, Xin Wang, Cunxiang Wang, Junfeng Fang, Qiufeng Wang, Jianing Chu, Xuran Meng, Shuxun Yang, Libo Qin, Yue Zhang, Wei Ye, Shikun Zhang:
Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future. CoRR abs/2508.06026 (2025) - [i33]Zhuohao Yu, Xingru Jiang, Weizheng Gu, Yidong Wang, Shikun Zhang, Wei Ye:
SAEMark: Multi-bit LLM Watermarking with Inference-Time Scaling. CoRR abs/2508.08211 (2025) - [i32]Zhengran Zeng, Ruikai Shi, Keke Han, Yixin Li, Kaicheng Sun, Yidong Wang, Zhuohao Yu, Rui Xie, Wei Ye, Shikun Zhang:
Benchmarking and Studying the LLM-based Code Review. CoRR abs/2509.01494 (2025) - [i31]Yidong Wang, Yunze Song, Tingyuan Zhu, Xuanwang Zhang, Zhuohao Yu, Hao Chen, Chiyu Song, Qiufeng Wang, Cunxiang Wang, Zhen Wu, Xinyu Dai, Yue Zhang, Wei Ye, Shikun Zhang:
TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them. CoRR abs/2509.21117 (2025) - 2024
- [j4]Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Wei Ye, Haojun Huang, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie:
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. IEEE Data Eng. Bull. 48(1): 48-62 (2024) - [j3]Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang:
Exploring Vision-Language Models for Imbalanced Learning. Int. J. Comput. Vis. 132(1): 224-237 (2024) - [j2]Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie:
A Survey on Evaluation of Large Language Models. ACM Trans. Intell. Syst. Technol. 15(3): 39:1-39:45 (2024) - [c19]Xiaoling Zhou, Wei Ye, Yidong Wang, Chaoya Jiang, Zhemg Lee, Rui Xie, Shikun Zhang:
Enhancing In-Context Learning via Implicit Demonstration Augmentation. ACL (1) 2024: 2810-2828 - [c18]Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang:
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models. ACL (1) 2024: 5967-5985 - [c17]Zeyu Dong, Qingqing Long, Yihang Zhou, Pengfei Wang, Zhihong Zhu, Xiao Luo, Yidong Wang, Pengyang Wang, Yuanchun Zhou:
PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment. CIKM 2024: 487-496 - [c16]Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Xiang Li, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides:
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets. CVPR Workshops 2024: 1551-1561 - [c15]Wenjin Yao, Yidong Wang, Zhuohao Yu, Rui Xie, Shikun Zhang, Wei Ye:
PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness. EMNLP (Findings) 2024: 8721-8744 - [c14]Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang:
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. ICLR 2024 - [c13]Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang:
Supervised Knowledge Makes Large Language Models Better In-context Learners. ICLR 2024 - [c12]Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj:
A General Framework for Learning from Weak Supervision. ICML 2024 - [c11]Zhengran Zeng, Yidong Wang, Rui Xie, Wei Ye, Shikun Zhang:
CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios. ISSTA 2024: 124-136 - [c10]Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xiang Li, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj:
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations. NeurIPS 2024 - [c9]Yidong Wang, Qi Guo, Wenjin Yao, Hongbo Zhang, Xin Zhang, Zhen Wu, Meishan Zhang, Xinyu Dai, Min Zhang, Qingsong Wen, Wei Ye, Shikun Zhang, Yue Zhang:
AutoSurvey: Large Language Models Can Automatically Write Surveys. NeurIPS 2024 - [i30]Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj:
A General Framework for Learning from Weak Supervision. CoRR abs/2402.01922 (2024) - [i29]Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang:
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models. CoRR abs/2402.15043 (2024) - [i28]Zhengran Zeng, Yidong Wang, Rui Xie, Wei Ye, Shikun Zhang:
CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios. CoRR abs/2403.19287 (2024) - [i27]Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Zhengran Zeng, Wei Ye, Jindong Wang, Yue Zhang, Shikun Zhang:
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models. CoRR abs/2404.06003 (2024) - [i26]Yidong Wang, Qi Guo, Wenjin Yao, Hongbo Zhang, Xin Zhang, Zhen Wu, Meishan Zhang, Xinyu Dai, Min Zhang, Qingsong Wen, Wei Ye, Shikun Zhang, Yue Zhang:
AutoSurvey: Large Language Models Can Automatically Write Surveys. CoRR abs/2406.10252 (2024) - [i25]Xiaoling Zhou, Wei Ye, Yidong Wang, Chaoya Jiang, Zhemg Lee, Rui Xie, Shikun Zhang:
Enhancing In-Context Learning via Implicit Demonstration Augmentation. CoRR abs/2407.00100 (2024) - [i24]Chuanpeng Yang, Wang Lu, Yao Zhu, Yidong Wang, Qian Chen, Chenlong Gao, Bingjie Yan, Yiqiang Chen:
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application. CoRR abs/2407.01885 (2024) - [i23]Xuanwang Zhang, Yunze Song, Yidong Wang, Shuyun Tang, Xinfeng Li, Zhengran Zeng, Zhen Wu, Wei Ye, Wenyuan Xu, Yue Zhang, Xinyu Dai, Shikun Zhang, Qingsong Wen:
RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation. CoRR abs/2408.11381 (2024) - [i22]Liguo Chen, Qi Guo, Hongrui Jia, Zhengran Zeng, Xin Wang, Yijiang Xu, Jian Wu, Yidong Wang, Qing Gao, Jindong Wang, Wei Ye, Shikun Zhang:
A Survey on Evaluating Large Language Models in Code Generation Tasks. CoRR abs/2408.16498 (2024) - [i21]Yijiang Xu, Hongrui Jia, Liguo Chen, Xin Wang, Zhengran Zeng, Yidong Wang, Qing Gao, Jindong Wang, Wei Ye, Shikun Zhang, Zhonghai Wu:
ISC4DGF: Enhancing Directed Grey-box Fuzzing with LLM-Driven Initial Seed Corpus Generation. CoRR abs/2409.14329 (2024) - [i20]Hao Chen, Abdul Waheed, Xiang Li, Yidong Wang, Jindong Wang, Bhiksha Raj, Marah I Abdin:
On the Diversity of Synthetic Data and its Impact on Training Large Language Models. CoRR abs/2410.15226 (2024) - [i19]Zhuohao Yu, Weizheng Gu, Yidong Wang, Zhengran Zeng, Jindong Wang, Wei Ye, Shikun Zhang:
Outcome-Refining Process Supervision for Code Generation. CoRR abs/2412.15118 (2024) - 2023
- [c8]Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen:
Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. CIKM 2023: 3257-3267 - [c7]Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides:
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning. ICLR 2023 - [c6]Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie:
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning. ICLR 2023 - [i18]Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides:
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning. CoRR abs/2301.10921 (2023) - [i17]Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie:
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. CoRR abs/2302.12095 (2023) - [i16]Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang:
Exploring Vision-Language Models for Imbalanced Learning. CoRR abs/2304.01457 (2023) - [i15]Cunxiang Wang, Sirui Cheng, Zhikun Xu, Bowen Ding, Yidong Wang, Yue Zhang:
Evaluating Open Question Answering Evaluation. CoRR abs/2305.12421 (2023) - [i14]Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj:
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations. CoRR abs/2305.12715 (2023) - [i13]Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie:
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. CoRR abs/2306.04528 (2023) - [i12]Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang:
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. CoRR abs/2306.05087 (2023) - [i11]Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie:
A Survey on Evaluation of Large Language Models. CoRR abs/2307.03109 (2023) - [i10]Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang:
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. CoRR abs/2310.07521 (2023) - [i9]Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang:
Supervised Knowledge Makes Large Language Models Better In-context Learners. CoRR abs/2312.15918 (2023) - 2022
- [j1]Wenxin Hou, Han Zhu, Yidong Wang, Jindong Wang, Tao Qin, Renjun Xu, Takahiro Shinozaki:
Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 30: 317-329 (2022) - [c5]Yidong Wang, Bowen Zhang, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki:
Margin Calibration for Long-Tailed Visual Recognition. ACML 2022: 1101-1116 - [c4]Yidong Wang, Hao Wu, Ao Liu, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki, Manabu Okumura, Yue Zhang:
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction. COLING 2022: 7075-7085 - [c3]Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang:
USB: A Unified Semi-supervised Learning Benchmark for Classification. NeurIPS 2022 - [i8]Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele:
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning. CoRR abs/2205.07246 (2022) - [i7]Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang:
USB: A Unified Semi-supervised Learning Benchmark. CoRR abs/2208.07204 (2022) - [i6]Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides:
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets. CoRR abs/2208.07463 (2022) - [i5]Yidong Wang, Hao Wu, Ao Liu, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki, Manabu Okumura, Yue Zhang:
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction. CoRR abs/2208.08280 (2022) - [i4]Wang Lu, Jindong Wang, Yidong Wang, Kan Ren, Yiqiang Chen, Xing Xie:
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. CoRR abs/2209.00652 (2022) - 2021
- [c2]Wenxin Hou, Yidong Wang, Shengzhou Gao, Takahiro Shinozaki:
Meta-Adapter: Efficient Cross-Lingual Adaptation With Meta-Learning. ICASSP 2021: 7028-7032 - [c1]Bowen Zhang, Yidong Wang, Wenxin Hou, Hao Wu, Jindong Wang, Manabu Okumura, Takahiro Shinozaki:
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling. NeurIPS 2021: 18408-18419 - [i3]Wenxin Hou, Han Zhu, Yidong Wang, Jindong Wang, Tao Qin, Renjun Xu, Takahiro Shinozaki:
Exploiting Adapters for Cross-lingual Low-resource Speech Recognition. CoRR abs/2105.11905 (2021) - [i2]Bowen Zhang, Yidong Wang, Wenxin Hou, Hao Wu, Jindong Wang, Manabu Okumura, Takahiro Shinozaki:
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling. CoRR abs/2110.08263 (2021) - [i1]Yidong Wang, Bowen Zhang, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki:
Margin Calibration for Long-Tailed Visual Recognition. CoRR abs/2112.07225 (2021)
Coauthor Index
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