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Ruiyi Zhang 0002

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affiliation: Adobe Research, San Jose, CA, USA
affiliation (PhD 2021): Duke University, Department of Computer Science, Durham, NC, USA

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2025
[j3]
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Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang:
Personalization of Large Language Models: A Survey. Trans. Mach. Learn. Res. 2025 (2025)
[c63]
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Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu:
Numerical Pruning for Efficient Autoregressive Models. AAAI 2025: 20418-20426
[c62]
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  - conf/acl/Wu00CHM0BKRM0S25
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Junda Wu, Yu Xia, Tong Yu, Xiang Chen, Sai Sree Harsha, Akash V. Maharaj, Ruiyi Zhang, Victor S. Bursztyn, Sungchul Kim, Ryan A. Rossi, Julian J. McAuley, Yunyao Li, Ritwik Sinha:
Doc-React: Multi-page Heterogeneous Document Question-answering. ACL (2) 2025: 67-78
[c61]
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Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao Kenneth Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley:
From Selection to Generation: A Survey of LLM-based Active Learning. ACL (1) 2025: 14552-14569
[c60]
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Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Jihyung Kil, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt:
GUI Agents: A Survey. ACL (Findings) 2025: 22522-22538
[c59]
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Shijie Zhou, Ruiyi Zhang, Yufan Zhou, Changyou Chen:
A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation. COLING 2025: 10091-10110
[c58]
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Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun:
SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding. ICLR 2025
[c57]
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Isabel O. Gallegos, Ryan Aponte, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Tong Yu, Hanieh Deilamsalehy, Ruiyi Zhang, Sungchul Kim, Franck Dernoncourt, Nedim Lipka, Deonna M. Owens, Jiuxiang Gu:
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes. NAACL (Short Papers) 2025: 873-888
[c56]
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Jianyi Zhang, Yufan Zhou, Jiuxiang Gu, Curtis Wigington, Tong Yu, Yiran Chen, Tong Sun, Ruiyi Zhang:
ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models. WACV 2025: 1268-1278
[c55]
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Reuben Luera, Ryan A. Rossi, Franck Dernoncourt, Alexa F. Siu, Sungchul Kim, Tong Yu, Ruiyi Zhang, Xiang Chen, Nedim Lipka, Zhehao Zhang, Seon Gyeom Kim, Tak Yeon Lee:
Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions. WWW (Companion Volume) 2025: 1167-1171
[i80]
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  - journals/corr/abs-2501-13896
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Yue Fan, Handong Zhao, Ruiyi Zhang, Yu Shen, Xin Eric Wang, Gang Wu:
GUI-Bee: Align GUI Action Grounding to Novel Environments via Autonomous Exploration. CoRR abs/2501.13896 (2025)
[i79]
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  - journals/corr/abs-2502-11767
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Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao Kenneth Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley:
From Selection to Generation: A Survey of LLM-based Active Learning. CoRR abs/2502.11767 (2025)
[i78]
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  - journals/corr/abs-2503-16734
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Chengkai Huang, Junda Wu, Yu Xia, Zixu Yu, Ruhan Wang, Tong Yu, Ruiyi Zhang, Ryan A. Rossi, Branislav Kveton, Dongruo Zhou, Julian J. McAuley, Lina Yao:
Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models. CoRR abs/2503.16734 (2025)
[i77]
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  - journals/corr/abs-2504-04974
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Ming Li, Ruiyi Zhang, Jian Chen, Jiuxiang Gu, Yufan Zhou, Franck Dernoncourt, Wanrong Zhu, Tianyi Zhou, Tong Sun:
Towards Visual Text Grounding of Multimodal Large Language Model. CoRR abs/2504.04974 (2025)
[i76]
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  - journals/corr/abs-2504-21228
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Rui Wang, Junda Wu, Yu Xia, Tong Yu, Ruiyi Zhang, Ryan A. Rossi, Lina Yao, Julian J. McAuley:
CachePrune: Neural-Based Attribution Defense Against Indirect Prompt Injection Attacks. CoRR abs/2504.21228 (2025)
[i75]
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  - journals/corr/abs-2505-14106
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Li Li, Peilin Cai, Ryan A. Rossi, Franck Dernoncourt, Branislav Kveton, Junda Wu, Tong Yu, Linxin Song, Tiankai Yang, Yuehan Qin, Nesreen K. Ahmed, Samyadeep Basu, Subhojyoti Mukherjee, Ruiyi Zhang, Zhengmian Hu, Bo Ni, Yuxiao Zhou, Zichao Wang, Yue Huang, Yu Wang, Xiangliang Zhang, Philip S. Yu, Xiyang Hu, Yue Zhao:
A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. CoRR abs/2505.14106 (2025)
[i74]
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  - journals/corr/abs-2507-00045
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Ming Li, Chenguang Wang, Yijun Liang, Xiyao Wang, Yuhang Zhou, Xiyang Wu, Yuqing Zhang, Ruiyi Zhang, Tianyi Zhou:
CaughtCheating: Is Your MLLM a Good Cheating Detective? Exploring the Boundary of Visual Perception and Reasoning. CoRR abs/2507.00045 (2025)
[i73]
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  - journals/corr/abs-2507-07202
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Mohamed Elmoghany, Ryan A. Rossi, Seunghyun Yoon, Subhojyoti Mukherjee, Eslam Mohamed Bakr, Puneet Mathur, Gang Wu, Viet Dac Lai, Nedim Lipka, Ruiyi Zhang, Varun Manjunatha, Chien Van Nguyen, Daksh Dangi, Abel Salinas, Mohammad Reza Taesiri, Hongjie Chen, Xiaolei Huang, Joe Barrow, Nesreen K. Ahmed, Hoda Eldardiry, Namyong Park, Yu Wang, Jaemin Cho, Anh Totti Nguyen, Zhengzhong Tu, Thien Huu Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt:
A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality. CoRR abs/2507.07202 (2025)
[i72]
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  - journals/corr/abs-2507-09025
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Chien Van Nguyen, Ruiyi Zhang, Hanieh Deilamsalehy, Puneet Mathur, Viet Dac Lai, Haoliang Wang, Jayakumar Subramanian, Ryan A. Rossi, Trung Bui, Nikos Vlassis, Franck Dernoncourt, Thien Huu Nguyen:
Lizard: An Efficient Linearization Framework for Large Language Models. CoRR abs/2507.09025 (2025)
[i71]
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  - journals/corr/abs-2507-21391
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Shijie Zhou, Ruiyi Zhang, Huaisheng Zhu, Branislav Kveton, Yufan Zhou, Jiuxiang Gu, Jian Chen, Changyou Chen:
Multimodal LLMs as Customized Reward Models for Text-to-Image Generation. CoRR abs/2507.21391 (2025)
[i70]
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  - journals/corr/abs-2508-07493
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Jian Chen, Ming Li, Jihyung Kil, Chenguang Wang, Tong Yu, Ryan A. Rossi, Tianyi Zhou, Changyou Chen, Ruiyi Zhang:
VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding. CoRR abs/2508.07493 (2025)
2024
[j2]
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  - journals/coling/GallegosRBTKDYZA24
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Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Nesreen K. Ahmed:
Bias and Fairness in Large Language Models: A Survey. Comput. Linguistics 50(3): 1097-1179 (2024)
[c54]
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  - conf/aaai/0160LRSZD24
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Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr:
Knowledge Graph Prompting for Multi-Document Question Answering. AAAI 2024: 19206-19214
[c53]
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Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr:
Topology-aware Retrieval Augmentation for Text Generation. CIKM 2024: 2442-2452
[c52]
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  - conf/cvpr/ZhouZGS24
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Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Tong Sun:
Customization Assistant for Text-to-image Generation. CVPR 2024: 9182-9191
[c51]
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Ruiyi Zhang, Yanzhe Zhang, Jian Chen, Yufan Zhou, Jiuxiang Gu, Changyou Chen, Tong Sun:
TRINS: Towards Multimodal Language Models that Can Read. CVPR 2024: 22584-22594
[c50]
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Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl:
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning. EACL (1) 2024: 2408-2421
[c49]
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Jian Chen, Ruiyi Zhang, Yufan Zhou, Jennifer Healey, Jiuxiang Gu, Zhiqiang Xu, Changyou Chen:
TextLap: Customizing Language Models for Text-to-Layout Planning. EMNLP (Findings) 2024: 14275-14289
[c48]
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Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Tong Yu, Guoyin Wang, Yiran Chen:
Towards Building The Federatedgpt: Federated Instruction Tuning. ICASSP 2024: 6915-6919
[c47]
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Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang:
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. ICLR 2024
[c46]
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Jian Chen, Ruiyi Zhang, Yufan Zhou, Changyou Chen:
Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints. ICLR 2024
[c45]
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Jiuxiang Gu, Xiangxi Shi, Jason Kuen, Lu Qi, Ruiyi Zhang, Anqi Liu, Ani Nenkova, Tong Sun:
ADOPD: A Large-Scale Document Page Decomposition Dataset. ICLR 2024
[c44]
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Zhendong Chu, Ruiyi Zhang, Tong Yu, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Ani Nenkova:
Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. NAACL-HLT (Findings) 2024: 196-210
[c43]
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Rui Wang, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Junda Wu, Subrata Mitra, Lina Yao, Ricardo Henao:
Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. NAACL-HLT (Findings) 2024: 4597-4612
[i69]
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  - journals/corr/abs-2402-01981
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Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Tong Yu, Hanieh Deilamsalehy, Ruiyi Zhang, Sungchul Kim, Franck Dernoncourt:
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes. CoRR abs/2402.01981 (2024)
[i68]
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Jian Chen, Ruiyi Zhang, Yufan Zhou, Changyou Chen:
Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints. CoRR abs/2402.04754 (2024)
[i67]
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  - journals/corr/abs-2404-12386
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Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liang-Yan Gui, Tong Sun, Yu-Xiong Wang:
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. CoRR abs/2404.12386 (2024)
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Wanrong Zhu, Jennifer Healey, Ruiyi Zhang, William Yang Wang, Tong Sun:
Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models. CoRR abs/2404.15271 (2024)
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Zhendong Chu, Zichao Wang, Ruiyi Zhang, Yangfeng Ji, Hongning Wang, Tong Sun:
Improve Temporal Awareness of LLMs for Sequential Recommendation. CoRR abs/2405.02778 (2024)
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Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr:
Augmenting Textual Generation via Topology Aware Retrieval. CoRR abs/2405.17602 (2024)
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Ruiyi Zhang, Yanzhe Zhang, Jian Chen, Yufan Zhou, Jiuxiang Gu, Changyou Chen, Tong Sun:
TRINS: Towards Multimodal Language Models that Can Read. CoRR abs/2406.06730 (2024)
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Yufan Zhou, Ruiyi Zhang, Kaizhi Zheng, Nanxuan Zhao, Jiuxiang Gu, Zichao Wang, Xin Eric Wang, Tong Sun:
Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation. CoRR abs/2406.09305 (2024)
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Jianyi Zhang, Yufan Zhou, Jiuxiang Gu, Curtis Wigington, Tong Yu, Yiran Chen, Tong Sun, Ruiyi Zhang:
ARTIST: Improving the Generation of Text-rich Images by Disentanglement. CoRR abs/2406.12044 (2024)
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Ishita Kumar, Snigdha Viswanathan, Sushrita Yerra, Alireza Salemi, Ryan A. Rossi, Franck Dernoncourt, Hanieh Deilamsalehy, Xiang Chen, Ruiyi Zhang, Shubham Agarwal, Nedim Lipka, Hamed Zamani:
LongLaMP: A Benchmark for Personalized Long-form Text Generation. CoRR abs/2407.11016 (2024)
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Swetha Eppalapally, Daksh Dangi, Chaithra Bhat, Ankita Gupta, Ruiyi Zhang, Shubham Agarwal, Karishma Bagga, Seunghyun Yoon, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt:
KaPQA: Knowledge-Augmented Product Question-Answering. CoRR abs/2407.16073 (2024)
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Ruiyi Zhang, Yufan Zhou, Jian Chen, Jiuxiang Gu, Changyou Chen, Tong Sun:
LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models. CoRR abs/2407.19185 (2024)
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Jian Chen, Ruiyi Zhang, Yufan Zhou, Ryan A. Rossi, Jiuxiang Gu, Changyou Chen:
MMR: Evaluating Reading Ability of Large Multimodal Models. CoRR abs/2408.14594 (2024)
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Bang An, Sicheng Zhu, Ruiyi Zhang, Michael-Andrei Panaitescu-Liess, Yuancheng Xu, Furong Huang:
Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models. CoRR abs/2409.00598 (2024)
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Deonna M. Owens, Ryan A. Rossi, Sungchul Kim, Tong Yu, Franck Dernoncourt, Xiang Chen, Ruiyi Zhang, Jiuxiang Gu, Hanieh Deilamsalehy, Nedim Lipka:
A Multi-LLM Debiasing Framework. CoRR abs/2409.13884 (2024)
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Junda Wu, Zhehao Zhang, Yu Xia, Xintong Li, Zhaoyang Xia, Aaron Chang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ruiyi Zhang, Subrata Mitra, Dimitris N. Metaxas, Lina Yao, Jingbo Shang, Julian J. McAuley:
Visual Prompting in Multimodal Large Language Models: A Survey. CoRR abs/2409.15310 (2024)
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Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Ang Li, Lina Yao, Julian J. McAuley, Yiran Chen, Carlee Joe-Wong:
Federated Large Language Models: Current Progress and Future Directions. CoRR abs/2409.15723 (2024)
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Jian Chen, Ruiyi Zhang, Yufan Zhou, Jennifer Healey, Jiuxiang Gu, Zhiqiang Xu, Changyou Chen:
TextLap: Customizing Language Models for Text-to-Layout Planning. CoRR abs/2410.12844 (2024)
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Zhehao Zhang, Ryan A. Rossi, Tong Yu, Franck Dernoncourt, Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Xiang Chen, Zichao Wang, Nedim Lipka:
VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use. CoRR abs/2410.16400 (2024)
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Chien Van Nguyen, Huy Huu Nguyen, Thang M. Pham, Ruiyi Zhang, Hanieh Deilamsalehy, Puneet Mathur, Ryan A. Rossi, Trung Bui, Viet Dac Lai, Franck Dernoncourt, Thien Huu Nguyen:
Taipan: Efficient and Expressive State Space Language Models with Selective Attention. CoRR abs/2410.18572 (2024)
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Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Franck Dernoncourt, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Mike Rimer, Zhehao Zhang, Huanrui Yang, Ryan A. Rossi, Thien Huu Nguyen:
A Survey of Small Language Models. CoRR abs/2410.20011 (2024)
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Reuben Luera, Ryan A. Rossi, Alexa F. Siu, Franck Dernoncourt, Tong Yu, Sungchul Kim, Ruiyi Zhang, Xiang Chen, Hanieh Salehy, Jian Zhao, Samyadeep Basu, Puneet Mathur, Nedim Lipka:
Survey of User Interface Design and Interaction Techniques in Generative AI Applications. CoRR abs/2410.22370 (2024)
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Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang:
Personalization of Large Language Models: A Survey. CoRR abs/2411.00027 (2024)
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Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun:
LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding. CoRR abs/2411.01106 (2024)
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Dang Nguyen, Viet Dac Lai, Seunghyun Yoon, Ryan A. Rossi, Handong Zhao, Ruiyi Zhang, Puneet Mathur, Nedim Lipka, Yu Wang, Trung Bui, Franck Dernoncourt, Tianyi Zhou:
DynaSaur: Large Language Agents Beyond Predefined Actions. CoRR abs/2411.01747 (2024)
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Reuben Luera, Ryan A. Rossi, Franck Dernoncourt, Alexa F. Siu, Sungchul Kim, Tong Yu, Ruiyi Zhang, Xiang Chen, Nedim Lipka, Zhehao Zhang, Seon Gyeom Kim, Tak Yeon Lee:
Optimizing Data Delivery: Insights from User Preferences on Visuals, Tables, and Text. CoRR abs/2411.07451 (2024)
[i43]
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Junda Wu, Hanjia Lyu, Yu Xia, Zhehao Zhang, Joe Barrow, Ishita Kumar, Mehrnoosh Mirtaheri, Hongjie Chen, Ryan A. Rossi, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Namyong Park, Sungchul Kim, Huanrui Yang, Subrata Mitra, Zhengmian Hu, Nedim Lipka, Dang Nguyen, Yue Zhao, Jiebo Luo, Julian J. McAuley:
Personalized Multimodal Large Language Models: A Survey. CoRR abs/2412.02142 (2024)
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Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Nanxuan Zhao, Jing Shi, Tong Sun:
SUGAR: Subject-Driven Video Customization in a Zero-Shot Manner. CoRR abs/2412.10533 (2024)
[i41]
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Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu:
Numerical Pruning for Efficient Autoregressive Models. CoRR abs/2412.12441 (2024)
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Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt:
GUI Agents: A Survey. CoRR abs/2412.13501 (2024)
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Shijie Zhou, Ruiyi Zhang, Yufan Zhou, Changyou Chen:
A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation. CoRR abs/2412.16364 (2024)
2023
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Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao:
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. AAAI 2023: 4729-4737
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Ruiyi Zhang, Tong Yu:
Understanding Demonstration-based Learning from a Causal Perspective. ACL (2) 2023: 1465-1475
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Rui Wang, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Ruiyi Zhang, Subrata Mitra, Ricardo Henao:
Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets. ACL (Findings) 2023: 7449-7463
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Jiuxiang Gu, Yifei Ming, Yi Zhou, Jason Kuen, Vlad I. Morariu, Handong Zhao, Ruiyi Zhang, Nikolaos Barmpalios, Anqi Liu, Yixuan Li, Tong Sun, Ani Nenkova:
A Critical Analysis of Document Out-of-Distribution Detection. EMNLP (Findings) 2023: 4973-4999
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Yicong Hong, Yang Zhou, Ruiyi Zhang, Franck Dernoncourt, Trung Bui, Stephen Gould, Hao Tan:
Learning Navigational Visual Representations with Semantic Map Supervision. ICCV 2023: 3032-3044
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Jian Chen, Ruiyi Zhang, Tong Yu, Rohan Sharma, Zhiqiang Xu, Tong Sun, Changyou Chen:
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels. NeurIPS 2023
[c36]
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Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao:
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. NeurIPS 2023
[i38]
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Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Guoyin Wang, Yiran Chen:
Towards Building the Federated GPT: Federated Instruction Tuning. CoRR abs/2305.05644 (2023)
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Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl:
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer. CoRR abs/2305.12077 (2023)
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Yufan Zhou, Ruiyi Zhang, Tong Sun, Jinhui Xu:
Enhancing Detail Preservation for Customized Text-to-Image Generation: A Regularization-Free Approach. CoRR abs/2305.13579 (2023)
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Jian Chen, Ruiyi Zhang, Tong Yu, Rohan Sharma, Zhiqiang Xu, Tong Sun, Changyou Chen:
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels. CoRR abs/2305.19518 (2023)
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Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao:
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. CoRR abs/2306.04933 (2023)
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Yanzhe Zhang, Ruiyi Zhang, Jiuxiang Gu, Yufan Zhou, Nedim Lipka, Diyi Yang, Tong Sun:
LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding. CoRR abs/2306.17107 (2023)
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Yicong Hong, Yang Zhou, Ruiyi Zhang, Franck Dernoncourt, Trung Bui, Stephen Gould, Hao Tan:
Learning Navigational Visual Representations with Semantic Map Supervision. CoRR abs/2307.12335 (2023)
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Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr:
Knowledge Graph Prompting for Multi-Document Question Answering. CoRR abs/2308.11730 (2023)
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Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Nesreen K. Ahmed:
Bias and Fairness in Large Language Models: A Survey. CoRR abs/2309.00770 (2023)
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Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, Tong Sun:
AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models. CoRR abs/2310.15140 (2023)
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Zhendong Chu, Ruiyi Zhang, Tong Yu, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Ani Nenkova:
Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. CoRR abs/2310.16790 (2023)
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Zhengmian Hu, Gang Wu, Saayan Mitra, Ruiyi Zhang, Tong Sun, Heng Huang, Vishy Swaminathan:
Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information. CoRR abs/2311.11509 (2023)
[i26]
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Yizhou Wang, Ruiyi Zhang, Haoliang Wang, Uttaran Bhattacharya, Yun Fu, Gang Wu:
VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding. CoRR abs/2312.02310 (2023)
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Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Tong Sun:
Customization Assistant for Text-to-image Generation. CoRR abs/2312.03045 (2023)
2022
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Rui Wang, Ruiyi Zhang, Ricardo Henao:
Wasserstein Uncertainty Estimation for Adversarial Domain Matching. Frontiers Big Data 5: 878716 (2022)
[c35]
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Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun:
TiGAN: Text-Based Interactive Image Generation and Manipulation. AAAI 2022: 3580-3588
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Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin:
Text-Based Interactive Recommendation via Offline Reinforcement Learning. AAAI 2022: 11694-11702
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Rui Wang, Tong Yu, Handong Zhao, Sungchul Kim, Subrata Mitra, Ruiyi Zhang, Ricardo Henao:
Few-Shot Class-Incremental Learning for Named Entity Recognition. ACL (1) 2022: 571-582
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Zihan Wang, Jiuxiang Gu, Jason Kuen, Handong Zhao, Vlad I. Morariu, Ruiyi Zhang, Ani Nenkova, Tong Sun, Jingbo Shang:
Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns. ACL (Findings) 2022: 916-925
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Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun:
Towards Language-Free Training for Text-to-Image Generation. CVPR 2022: 17886-17896
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Junda Wu, Rui Wang, Tong Yu, Ruiyi Zhang, Handong Zhao, Shuai Li, Ricardo Henao, Ani Nenkova:
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling. EMNLP (Findings) 2022: 3436-3448
[c29]
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Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao:
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. IJCNN 2022: 1-7
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Zhizhang Hu, Tong Yu, Ruiyi Zhang, Shijia Pan:
CIPhy: Causal Intervention with Physical Confounder from IoT Sensor Data for Robust Occupant Information Inference. SenSys 2022: 966-972
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Junda Wu, Zhihui Xie, Tong Yu, Handong Zhao, Ruiyi Zhang, Shuai Li:
Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation. SIGIR 2022: 290-300
[i24]
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Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao:
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. CoRR abs/2205.13300 (2022)
2021
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Ruiyi Zhang:
Towards Uncertainty and Efficiency in Reinforcement Learning. Duke University, Durham, NC, USA, 2021
[c26]
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Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed:
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes. AAAI 2021: 14489-14497
[c25]
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Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin:
Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning. ICLR 2021
[i23]
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Yehua Wei, Lei Zhang, Ruiyi Zhang, Shijing Si, Hao Zhang, Lawrence Carin:
Reinforcement Learning for Flexibility Design Problems. CoRR abs/2101.00355 (2021)
[i22]
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Ping Yu, Ruiyi Zhang, Yang Zhao, Yizhe Zhang, Chunyuan Li, Changyou Chen:
SDA: Improving Text Generation with Self Data Augmentation. CoRR abs/2101.03236 (2021)
[i21]
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Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin:
Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning. CoRR abs/2103.09420 (2021)
[i20]
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Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun:
LAFITE: Towards Language-Free Training for Text-to-Image Generation. CoRR abs/2111.13792 (2021)
2020
[c24]
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Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen:
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions. AAAI 2020: 12281-12288
[c23]
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Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin:
Improving Adversarial Text Generation by Modeling the Distant Future. ACL 2020: 2516-2531
[c22]
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Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin:
Nested-Wasserstein Self-Imitation Learning for Sequence Generation. AISTATS 2020: 422-433
[c21]
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Jianyi Zhang, Ruiyi Zhang, Lawrence Carin, Changyou Chen:
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory. AISTATS 2020: 1877-1887
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Ruiyi Zhang, Changyou Chen, Xinyuan Zhang, Ke Bai, Lawrence Carin:
Semantic Matching via Optimal Partial Transport. EMNLP (Findings) 2020: 212-222
[c19]
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Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen:
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. EMNLP (1) 2020: 236-255
[c18]
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Jianqiao Li, Chunyuan Li, Guoyin Wang, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin:
Improving Text Generation with Student-Forcing Optimal Transport. EMNLP (1) 2020: 9144-9156
[c17]
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Zhenyi Wang, Yang Zhao, Ping Yu, Ruiyi Zhang, Changyou Chen:
Bayesian Meta Sampling for Fast Uncertainty Adaptation. ICLR 2020
[c16]
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Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel:
Graphical Models Meet Bandits: A Variational Thompson Sampling Approach. ICML 2020: 10902-10912
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Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Ryan A. Rossi:
Figure Captioning with Relation Maps for Reasoning. WACV 2020: 1526-1534
[i19]
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  - journals/corr/abs-2001-06944
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Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin:
Nested-Wasserstein Self-Imitation Learning for Sequence Generation. CoRR abs/2001.06944 (2020)
[i18]
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  - journals/corr/abs-2005-01279
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Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin:
Improving Adversarial Text Generation by Modeling the Distant Future. CoRR abs/2005.01279 (2020)
[i17]
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Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen, Lawrence Carin:
Reward Constrained Interactive Recommendation with Natural Language Feedback. CoRR abs/2005.01618 (2020)
[i16]
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  - journals/corr/abs-2007-04915
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Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel:
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems. CoRR abs/2007.04915 (2020)
[i15]
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Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed:
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes. CoRR abs/2009.06851 (2020)
[i14]
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Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen:
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. CoRR abs/2009.09364 (2020)
[i13]
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Guoyin Wang, Chunyuan Li, Jianqiao Li, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin:
Improving Text Generation with Student-Forcing Optimal Transport. CoRR abs/2010.05994 (2020)

2010 – 2019

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2019
[c14]
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Ruiyi Zhang, Zheng Wen, Changyou Chen, Chen Fang, Tong Yu, Lawrence Carin:
Scalable Thompson Sampling via Optimal Transport. AISTATS 2019: 87-96
[c13]
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Charles Chen, Ruiyi Zhang, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu:
Neural caption generation over figures. UbiComp/ISWC Adjunct 2019: 482-485
[c12]
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Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin:
Improving Sequence-to-Sequence Learning via Optimal Transport. ICLR (Poster) 2019
[c11]
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Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu:
Understanding and Accelerating Particle-Based Variational Inference. ICML 2019: 4082-4092
[c10]
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Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy V. Bobashev, Lawrence Carin:
Variational Annealing of GANs: A Langevin Perspective. ICML 2019: 6176-6185
[c9]
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  - conf/mm/YuSZZJ19
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Tong Yu, Yilin Shen, Ruiyi Zhang, Xiangyu Zeng, Hongxia Jin:
Vision-Language Recommendation via Attribute Augmented Multimodal Reinforcement Learning. ACM Multimedia 2019: 39-47
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  - conf/naacl/WangGXZWSCC19
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Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin:
Topic-Guided Variational Auto-Encoder for Text Generation. NAACL-HLT (1) 2019: 166-177
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Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin:
Improving Textual Network Learning with Variational Homophilic Embeddings. NeurIPS 2019: 2074-2085
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Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen:
Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning. NeurIPS 2019: 15188-15198
[i12]
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  - journals/corr/abs-1901-06283
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Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin:
Improving Sequence-to-Sequence Learning via Optimal Transport. CoRR abs/1901.06283 (2019)
[i11]
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  - journals/corr/abs-1902-07239
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Ruiyi Zhang, Zheng Wen, Changyou Chen, Lawrence Carin:
Scalable Thompson Sampling via Optimal Transport. CoRR abs/1902.07239 (2019)
[i10]
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  - journals/corr/abs-1903-07137
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Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin:
Topic-Guided Variational Autoencoders for Text Generation. CoRR abs/1903.07137 (2019)
[i9]
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  - journals/corr/abs-1906-02850
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Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu:
Figure Captioning with Reasoning and Sequence-Level Training. CoRR abs/1906.02850 (2019)
[i8]
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  - journals/corr/abs-1909-13456
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Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin:
Improving Textual Network Learning with Variational Homophilic Embeddings. CoRR abs/1909.13456 (2019)
[i7]
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  - journals/corr/abs-1910-12735
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Wenlin Wang, Hongteng Xu, Ruiyi Zhang, Wenqi Wang, Lawrence Carin:
Collaborative Filtering with A Synthetic Feedback Loop. CoRR abs/1910.12735 (2019)
[i6]
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  - journals/corr/abs-1912-10150
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Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen:
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions. CoRR abs/1912.10150 (2019)
2018
[c5]
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Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin:
Learning Structural Weight Uncertainty for Sequential Decision-Making. AISTATS 2018: 1137-1146
[c4]
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Liqun Chen, Chenyang Tao, Ruiyi Zhang, Ricardo Henao, Lawrence Carin:
Variational Inference and Model Selection with Generalized Evidence Bounds. ICML 2018: 892-901
[c3]
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Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin:
Policy Optimization as Wasserstein Gradient Flows. ICML 2018: 5741-5750
[c2]
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  - conf/nips/ChenDTZGSZWZC18
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Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, Lawrence Carin:
Adversarial Text Generation via Feature-Mover's Distance. NeurIPS 2018: 4671-4682
[c1]
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  - conf/uai/ChenZWLC18
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Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen:
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. UAI 2018: 746-755
[i5]
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  - journals/corr/abs-1801-00085
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Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin:
Learning Structural Weight Uncertainty for Sequential Decision-Making. CoRR abs/1801.00085 (2018)
[i4]
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  - journals/corr/abs-1805-11659
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Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen:
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. CoRR abs/1805.11659 (2018)
[i3]
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  - journals/corr/abs-1807-01750
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Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu, Lawrence Carin:
Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference. CoRR abs/1807.01750 (2018)
[i2]
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  - journals/corr/abs-1808-03030
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Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin:
Policy Optimization as Wasserstein Gradient Flows. CoRR abs/1808.03030 (2018)
[i1]
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  dblp key:
  - journals/corr/abs-1811-00696
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Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Liqun Chen, Dinghan Shen, Guoyin Wang, Lawrence Carin:
Sequence Generation with Guider Network. CoRR abs/1811.00696 (2018)

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