Ruiyi Zhang

165 papers A* 33A 8B 2Misc 4Journal 93Unranked 24
YearRankTypeTitle / Venue / Authors
2026 — conf
A Survey on LLM-based Conversational User Simulation.
EACL (Volume 1: Long Papers)
Bo Ni, Yu Wang, Leyao Wang, Branislav Kveton, Franck Dernoncourt, Yu Xia, Hongjie Chen, Reuben Luera, Samyadeep Basu, Subhojyoti Mukherjee, Puneet Mathur, Nesreen K. Ahmed, Junda Wu, Li Li, Huixin Zhang, Ruiyi Zhang, Tong Yu, Sungchul Kim, Jiuxiang Gu, Zhengzhong Tu, Alexa F. Siu, Zichao Wang, Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, Yue Zhao, Tyler Derr, Ryan A. Rossi
2026 J jnl
Anticipatory Planning for Multimodal AI Agents.
CoRR
Yongyuan Liang, Shijie Zhou, Yu Gu, Hao Tan, Gang Wu, Franck Dernoncourt, Jihyung Kil, Ryan A. Rossi, Ruiyi Zhang
2026 — conf
Decomposition-Enhanced Training for Post-Hoc Attributions in Language Models.
EACL (Volume 1: Long Papers)
Sriram Balasubramanian, Samyadeep Basu, Koustava Goswami, Ryan Anthony Rossi, Varun Manjunatha, Roshan Santhosh, Ruiyi Zhang, Soheil Feizi, Nedim Lipka
2026 J jnl
InfinityStory: Unlimited Video Generation with World Consistency and Character-Aware Shot Transitions.
CoRR
Mohamed Elmoghany, Liangbing Zhao, Xiaoqian Shen, Subhojyoti Mukherjee, Yang Zhou, Gang Wu, Viet Dac Lai, Seunghyun Yoon, Ryan Rossi, Abdullah Rashwan, Puneet Mathur, Varun Manjunatha, Daksh Dangi, Chien Nguyen, Nedim Lipka, Trung Bui, Krishna Kumar Singh, Ruiyi Zhang, Xiaolei Huang, Jaemin Cho, Yu Wang, Namyong Park, Zhengzhong Tu, Hongjie Chen, Hoda Eldardiry, Nesreen K. Ahmed, Thien Huu Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt
2026 J jnl
MiLDEdit: Reasoning-Based Multi-Layer Design Document Editing.
CoRR
Zihao Lin, Wanrong Zhu, Jiuxiang Gu, Jihyung Kil, Christopher Tensmeyer, Lin Zhang, Shilong Liu, Ruiyi Zhang, Lifu Huang, Vlad I. Morariu, Tong Sun
2026 A* conf
OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive.
AAAI
Xuan Shen, Brian Wingenroth, Zichao Wang, Jason Kuen, Wanrong Zhu, Ruiyi Zhang, Yiwei Wang, Lichun Ma, Anqi Liu, Hongfu Liu, Tong Sun, Kevin S. Hawkins, Kate Tasker, G. Caleb Alexander, Jiuxiang Gu
2026 J jnl
Reasoning-Based Personalized Generation for Users with Sparse Data.
CoRR
Bo Ni, Branislav Kveton, Samyadeep Basu, Subhojyoti Mukherjee, Leyao Wang, Franck Dernoncourt, Sungchul Kim, Seunghyun Yoon, Zichao Wang, Ruiyi Zhang, Puneet Mathur, Jihyung Kil, Jiuxiang Gu, Nedim Lipka, Yu Wang, Ryan A. Rossi, Tyler Derr
2026 A* conf
VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use.
AAAI
Zhehao Zhang, Ryan A. Rossi, Tong Yu, Franck Dernoncourt, Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Xiang Chen, Zichao Wang, Nedim Lipka
2025 B conf
A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation.
COLING
Shijie Zhou, Ruiyi Zhang, Yufan Zhou, Changyou Chen
2025 J jnl
A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations.
CoRR
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
2025 — conf
A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality.
ICCVW
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 Nguyen, Daksh Dangi, Abel Salinas, Hongjie Chen, Xiaolei Huang, Joe Barrow, Nesreen K. Ahmed, Hoda Eldardiry, Namyong Park, Yu Wang, Zhengzhong Tu, Thien Huu Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt
2025 J jnl
A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality.
CoRR
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
2025 Misc conf
A Survey on Small Language Models.
RANLP
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, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Michael Rimer, Zhehao Zhang, Huanrui Yang, Puneet Mathur, Gang Wu, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen
2025 A conf
ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models.
WACV
Jianyi Zhang, Yufan Zhou, Jiuxiang Gu, Curtis Wigington, Tong Yu, Yiran Chen, Tong Sun, Ruiyi Zhang
2025 J jnl
CachePrune: Neural-Based Attribution Defense Against Indirect Prompt Injection Attacks.
CoRR
Rui Wang, Junda Wu, Yu Xia, Tong Yu, Ruiyi Zhang, Ryan A. Rossi, Lina Yao, Julian J. McAuley
2025 J jnl
CaughtCheating: Is Your MLLM a Good Cheating Detective? Exploring the Boundary of Visual Perception and Reasoning.
CoRR
Ming Li, Chenguang Wang, Yijun Liang, Xiyao Wang, Yuhang Zhou, Xiyang Wu, Yuqing Zhang, Ruiyi Zhang, Tianyi Zhou
2025 J jnl
Decomposition-Enhanced Training for Post-Hoc Attributions In Language Models.
CoRR
Sriram Balasubramaniam, Samyadeep Basu, Koustava Goswami, Ryan A. Rossi, Varun Manjunatha, Roshan Santhosh, Ruiyi Zhang, Soheil Feizi, Nedim Lipka
2025 — conf
Doc-React: Multi-page Heterogeneous Document Question-answering.
ACL (2)
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
2025 — conf
From Selection to Generation: A Survey of LLM-based Active Learning.
ACL (1)
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
2025 J jnl
From Selection to Generation: A Survey of LLM-based Active Learning.
CoRR
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
2025 — conf
GUI Agents: A Survey.
ACL (Findings)
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
2025 J jnl
GUI-AIMA: Aligning Intrinsic Multimodal Attention with a Context Anchor for GUI Grounding.
CoRR
Shijie Zhou, Viet Dac Lai, Hao Tan, Jihyung Kil, Wanrong Zhu, Changyou Chen, Ruiyi Zhang
2025 A* conf
GUI-Bee: Align GUI Action Grounding to Novel Environments via Autonomous Exploration.
EMNLP
Yue Fan, Handong Zhao, Ruiyi Zhang, Yu Shen, Xin Eric Wang, Gang Wu
2025 J jnl
GUI-Bee: Align GUI Action Grounding to Novel Environments via Autonomous Exploration.
CoRR
Yue Fan, Handong Zhao, Ruiyi Zhang, Yu Shen, Xin Eric Wang, Gang Wu
2025 J jnl
Lizard: An Efficient Linearization Framework for Large Language Models.
CoRR
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
2025 J jnl
MLLM as a UI Judge: Benchmarking Multimodal LLMs for Predicting Human Perception of User Interfaces.
CoRR
Reuben Luera, Ryan A. Rossi, Franck Dernoncourt, Samyadeep Basu, Sungchul Kim, Subhojyoti Mukherjee, Puneet Mathur, Ruiyi Zhang, Jihyung Kil, Nedim Lipka, Seunghyun Yoon, Jiuxiang Gu, Zichao Wang, Cindy Xiong Bearfield, Branislav Kveton
2025 J jnl
More Than the Final Answer: Improving Visual Extraction and Logical Consistency in Vision-Language Models.
CoRR
Hoang Anh Just, Yifei Fan, Handong Zhao, Jiuxiang Gu, Ruiyi Zhang, Simon Jenni, Kushal Kafle, Ruoxi Jia, Jing Shi
2025 Misc conf
Multi-LLM Debiasing Framework.
RANLP
Deonna M. Owens, Ryan A. Rossi, Sungchul Kim, Tong Yu, Franck Dernoncourt, Xiang Chen, Ruiyi Zhang, Jiuxiang Gu, Hanieh Deilamsalehy, Nedim Lipka
2025 J jnl
Multimodal LLMs as Customized Reward Models for Text-to-Image Generation.
CoRR
Shijie Zhou, Ruiyi Zhang, Huaisheng Zhu, Branislav Kveton, Yufan Zhou, Jiuxiang Gu, Jian Chen, Changyou Chen
2025 A* conf
Numerical Pruning for Efficient Autoregressive Models.
AAAI
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
2025 J jnl
OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive.
CoRR
Xuan Shen, Brian Wingenroth, Zichao Wang, Jason Kuen, Wanrong Zhu, Ruiyi Zhang, Yiwei Wang, Lichun Ma, Anqi Liu, Hongfu Liu, Tong Sun, Kevin S. Hawkins, Kate Tasker, G. Caleb Alexander, Jiuxiang Gu
2025 J jnl
Personalization of Large Language Models: A Survey.
Trans. Mach. Learn. Res.
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
2025 — conf
Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions.
WWW (Companion Volume)
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
2025 A* conf
SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding.
ICLR
Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun
2025 — conf
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes.
NAACL (Short Papers)
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
2025 J jnl
Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models.
CoRR
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
2025 J jnl
Towards Visual Text Grounding of Multimodal Large Language Model.
CoRR
Ming Li, Ruiyi Zhang, Jian Chen, Jiuxiang Gu, Yufan Zhou, Franck Dernoncourt, Wanrong Zhu, Tianyi Zhou, Tong Sun
2025 J jnl
VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding.
CoRR
Jian Chen, Ming Li, Jihyung Kil, Chenguang Wang, Tong Yu, Ryan A. Rossi, Tianyi Zhou, Changyou Chen, Ruiyi Zhang
2024 J jnl
A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation.
CoRR
Shijie Zhou, Ruiyi Zhang, Yufan Zhou, Changyou Chen
2024 J jnl
A Multi-LLM Debiasing Framework.
CoRR
Deonna M. Owens, Ryan A. Rossi, Sungchul Kim, Tong Yu, Franck Dernoncourt, Xiang Chen, Ruiyi Zhang, Jiuxiang Gu, Hanieh Deilamsalehy, Nedim Lipka
2024 J jnl
A Survey of Small Language Models.
CoRR
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
2024 A* conf
ADOPD: A Large-Scale Document Page Decomposition Dataset.
ICLR
Jiuxiang Gu, Xiangxi Shi, Jason Kuen, Lu Qi, Ruiyi Zhang, Anqi Liu, Ani Nenkova, Tong Sun
2024 J jnl
ARTIST: Improving the Generation of Text-rich Images by Disentanglement.
CoRR
Jianyi Zhang, Yufan Zhou, Jiuxiang Gu, Curtis Wigington, Tong Yu, Yiran Chen, Tong Sun, Ruiyi Zhang
2024 J jnl
Augmenting Textual Generation via Topology Aware Retrieval.
CoRR
Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr
2024 J jnl
Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models.
CoRR
Wanrong Zhu, Jennifer Healey, Ruiyi Zhang, William Yang Wang, Tong Sun
2024 J jnl
Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models.
CoRR
Bang An, Sicheng Zhu, Ruiyi Zhang, Michael-Andrei Panaitescu-Liess, Yuancheng Xu, Furong Huang
2024 J jnl
Bias and Fairness in Large Language Models: A Survey.
Comput. Linguistics
Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Nesreen K. Ahmed
2024 A* conf
Customization Assistant for Text-to-image Generation.
CVPR
Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Tong Sun
2024 J jnl
DynaSaur: Large Language Agents Beyond Predefined Actions.
CoRR
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
2024 J jnl
Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements.
CoRR
Shijie Zhou, Huaisheng Zhu, Rohan Sharma, Ruiyi Zhang, Kaiyi Ji, Changyou Chen
2024 J jnl
Federated Large Language Models: Current Progress and Future Directions.
CoRR
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
2024 — conf
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning.
EACL (1)
Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl
2024 J jnl
GUI Agents: A Survey.
CoRR
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
2024 J jnl
Improve Temporal Awareness of LLMs for Sequential Recommendation.
CoRR
Zhendong Chu, Zichao Wang, Ruiyi Zhang, Yangfeng Ji, Hongning Wang, Tong Sun
2024 J jnl
KaPQA: Knowledge-Augmented Product Question-Answering.
CoRR
Swetha Eppalapally, Daksh Dangi, Chaithra Bhat, Ankita Gupta, Ruiyi Zhang, Shubham Agarwal, Karishma Bagga, Seunghyun Yoon, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt
2024 A* conf
Knowledge Graph Prompting for Multi-Document Question Answering.
AAAI
Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr
2024 J jnl
LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models.
CoRR
Ruiyi Zhang, Yufan Zhou, Jian Chen, Jiuxiang Gu, Changyou Chen, Tong Sun
2024 J jnl
LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding.
CoRR
Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun
2024 J jnl
LongLaMP: A Benchmark for Personalized Long-form Text Generation.
CoRR
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
2024 J jnl
MMR: Evaluating Reading Ability of Large Multimodal Models.
CoRR
Jian Chen, Ruiyi Zhang, Yufan Zhou, Ryan A. Rossi, Jiuxiang Gu, Changyou Chen
2024 J jnl
Numerical Pruning for Efficient Autoregressive Models.
CoRR
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
2024 J jnl
Optimizing Data Delivery: Insights from User Preferences on Visuals, Tables, and Text.
CoRR
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
2024 J jnl
Personalization of Large Language Models: A Survey.
CoRR
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
2024 — conf
Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning.
NAACL-HLT (Findings)
Rui Wang, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Junda Wu, Subrata Mitra, Lina Yao, Ricardo Henao
2024 J jnl
Personalized Multimodal Large Language Models: A Survey.
CoRR
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
2024 A* conf
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation.
ICLR
Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang
2024 J jnl
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation.
CoRR
Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liang-Yan Gui, Tong Sun, Yu-Xiong Wang
2024 J jnl
SUGAR: Subject-Driven Video Customization in a Zero-Shot Manner.
CoRR
Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Nanxuan Zhao, Jing Shi, Tong Sun
2024 — conf
Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances.
NAACL-HLT (Findings)
Zhendong Chu, Ruiyi Zhang, Tong Yu, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Ani Nenkova
2024 J jnl
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes.
CoRR
Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Tong Yu, Hanieh Deilamsalehy, Ruiyi Zhang, Sungchul Kim, Franck Dernoncourt
2024 J jnl
Survey of User Interface Design and Interaction Techniques in Generative AI Applications.
CoRR
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
2024 A* conf
TRINS: Towards Multimodal Language Models that Can Read.
CVPR
Ruiyi Zhang, Yanzhe Zhang, Jian Chen, Yufan Zhou, Jiuxiang Gu, Changyou Chen, Tong Sun
2024 J jnl
TRINS: Towards Multimodal Language Models that Can Read.
CoRR
Ruiyi Zhang, Yanzhe Zhang, Jian Chen, Yufan Zhou, Jiuxiang Gu, Changyou Chen, Tong Sun
2024 J jnl
Taipan: Efficient and Expressive State Space Language Models with Selective Attention.
CoRR
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
2024 — conf
TextLap: Customizing Language Models for Text-to-Layout Planning.
EMNLP (Findings)
Jian Chen, Ruiyi Zhang, Yufan Zhou, Jennifer Healey, Jiuxiang Gu, Zhiqiang Xu, Changyou Chen
2024 J jnl
TextLap: Customizing Language Models for Text-to-Layout Planning.
CoRR
Jian Chen, Ruiyi Zhang, Yufan Zhou, Jennifer Healey, Jiuxiang Gu, Zhiqiang Xu, Changyou Chen
2024 J jnl
Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation.
CoRR
Yufan Zhou, Ruiyi Zhang, Kaizhi Zheng, Nanxuan Zhao, Jiuxiang Gu, Zichao Wang, Xin Eric Wang, Tong Sun
2024 A conf
Topology-aware Retrieval Augmentation for Text Generation.
CIKM
Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr
2024 A* conf
Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints.
ICLR
Jian Chen, Ruiyi Zhang, Yufan Zhou, Changyou Chen
2024 J jnl
Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints.
CoRR
Jian Chen, Ruiyi Zhang, Yufan Zhou, Changyou Chen
2024 Misc conf
Towards Building The Federatedgpt: Federated Instruction Tuning.
ICASSP
Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Tong Yu, Guoyin Wang, Yiran Chen
2024 J jnl
VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use.
CoRR
Zhehao Zhang, Ryan A. Rossi, Tong Yu, Franck Dernoncourt, Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Xiang Chen, Zichao Wang, Nedim Lipka
2024 J jnl
Visual Prompting in Multimodal Large Language Models: A Survey.
CoRR
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
2023 — conf
A Critical Analysis of Document Out-of-Distribution Detection.
EMNLP (Findings)
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
2023 J jnl
AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models.
CoRR
Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, Tong Sun
2023 J jnl
Bias and Fairness in Large Language Models: A Survey.
CoRR
Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Nesreen K. Ahmed
2023 J jnl
Customization Assistant for Text-to-image Generation.
CoRR
Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Tong Sun
2023 J jnl
Enhancing Detail Preservation for Customized Text-to-Image Generation: A Regularization-Free Approach.
CoRR
Yufan Zhou, Ruiyi Zhang, Tong Sun, Jinhui Xu
2023 — conf
Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets.
ACL (Findings)
Rui Wang, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Ruiyi Zhang, Subrata Mitra, Ricardo Henao
2023 A* conf
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning.
AAAI
Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao
2023 J jnl
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer.
CoRR
Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl
2023 J jnl
Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances.
CoRR
Zhendong Chu, Ruiyi Zhang, Tong Yu, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Ani Nenkova
2023 A* conf
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding.
NeurIPS
Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao
2023 J jnl
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding.
CoRR
Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao
2023 J jnl
Knowledge Graph Prompting for Multi-Document Question Answering.
CoRR
Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr
2023 J jnl
LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding.
CoRR
Yanzhe Zhang, Ruiyi Zhang, Jiuxiang Gu, Yufan Zhou, Nedim Lipka, Diyi Yang, Tong Sun
2023 A* conf
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels.
NeurIPS
Jian Chen, Ruiyi Zhang, Tong Yu, Rohan Sharma, Zhiqiang Xu, Tong Sun, Changyou Chen
2023 J jnl
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels.
CoRR
Jian Chen, Ruiyi Zhang, Tong Yu, Rohan Sharma, Zhiqiang Xu, Tong Sun, Changyou Chen
2023 A* conf
Learning Navigational Visual Representations with Semantic Map Supervision.
ICCV
Yicong Hong, Yang Zhou, Ruiyi Zhang, Franck Dernoncourt, Trung Bui, Stephen Gould, Hao Tan
2023 J jnl
Learning Navigational Visual Representations with Semantic Map Supervision.
CoRR
Yicong Hong, Yang Zhou, Ruiyi Zhang, Franck Dernoncourt, Trung Bui, Stephen Gould, Hao Tan
2023 J jnl
Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information.
CoRR
Zhengmian Hu, Gang Wu, Saayan Mitra, Ruiyi Zhang, Tong Sun, Heng Huang, Vishy Swaminathan
2023 J jnl
Towards Building the Federated GPT: Federated Instruction Tuning.
CoRR
Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Guoyin Wang, Yiran Chen
2023 — conf
Understanding Demonstration-based Learning from a Causal Perspective.
ACL (2)
Ruiyi Zhang, Tong Yu
2023 J jnl
VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding.
CoRR
Yizhou Wang, Ruiyi Zhang, Haoliang Wang, Uttaran Bhattacharya, Yun Fu, Gang Wu
2022 Misc conf
CIPhy: Causal Intervention with Physical Confounder from IoT Sensor Data for Robust Occupant Information Inference.
SenSys
Zhizhang Hu, Tong Yu, Ruiyi Zhang, Shijia Pan
2022 — conf
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling.
EMNLP (Findings)
Junda Wu, Rui Wang, Tong Yu, Ruiyi Zhang, Handong Zhao, Shuai Li, Ricardo Henao, Ani Nenkova
2022 A* conf
Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation.
SIGIR
Junda Wu, Zhihui Xie, Tong Yu, Handong Zhao, Ruiyi Zhang, Shuai Li
2022 B conf
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information.
IJCNN
Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao
2022 J jnl
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information.
CoRR
Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao
2022 — conf
Few-Shot Class-Incremental Learning for Named Entity Recognition.
ACL (1)
Rui Wang, Tong Yu, Handong Zhao, Sungchul Kim, Subrata Mitra, Ruiyi Zhang, Ricardo Henao
2022 — conf
Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns.
ACL (Findings)
Zihan Wang, Jiuxiang Gu, Jason Kuen, Handong Zhao, Vlad I. Morariu, Ruiyi Zhang, Ani Nenkova, Tong Sun, Jingbo Shang
2022 A* conf
Text-Based Interactive Recommendation via Offline Reinforcement Learning.
AAAI
Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin
2022 A* conf
TiGAN: Text-Based Interactive Image Generation and Manipulation.
AAAI
Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun
2022 A* conf
Towards Language-Free Training for Text-to-Image Generation.
CVPR
Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun
2022 J jnl
Wasserstein Uncertainty Estimation for Adversarial Domain Matching.
Frontiers Big Data
Rui Wang, Ruiyi Zhang, Ricardo Henao
2021 A* conf
Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning.
ICLR
Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin
2021 J jnl
Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning.
CoRR
Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin
2021 J jnl
LAFITE: Towards Language-Free Training for Text-to-Image Generation.
CoRR
Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun
2021 J jnl
Reinforcement Learning for Flexibility Design Problems.
CoRR
Yehua Wei, Lei Zhang, Ruiyi Zhang, Shijing Si, Hao Zhang, Lawrence Carin
2021 J jnl
SDA: Improving Text Generation with Self Data Augmentation.
CoRR
Ping Yu, Ruiyi Zhang, Yang Zhao, Yizhe Zhang, Chunyuan Li, Changyou Chen
2021 — —
Towards Uncertainty and Efficiency in Reinforcement Learning.
Ruiyi Zhang
2021 A* conf
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes.
AAAI
Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed
2020 A* conf
Bayesian Meta Sampling for Fast Uncertainty Adaptation.
ICLR
Zhenyi Wang, Yang Zhao, Ping Yu, Ruiyi Zhang, Changyou Chen
2020 A conf
Figure Captioning with Relation Maps for Reasoning.
WACV
Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Ryan A. Rossi
2020 A* conf
Graphical Models Meet Bandits: A Variational Thompson Sampling Approach.
ICML
Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel
2020 A* conf
Improving Adversarial Text Generation by Modeling the Distant Future.
ACL
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin
2020 J jnl
Improving Adversarial Text Generation by Modeling the Distant Future.
CoRR
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin
2020 — conf
Improving Text Generation with Student-Forcing Optimal Transport.
EMNLP (1)
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
2020 J jnl
Improving Text Generation with Student-Forcing Optimal Transport.
CoRR
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
2020 J jnl
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems.
CoRR
Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel
2020 A* conf
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions.
AAAI
Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen
2020 A conf
Nested-Wasserstein Self-Imitation Learning for Sequence Generation.
AISTATS
Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin
2020 J jnl
Nested-Wasserstein Self-Imitation Learning for Sequence Generation.
CoRR
Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin
2020 — conf
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference.
EMNLP (1)
Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen
2020 J jnl
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference.
CoRR
Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen
2020 J jnl
Reward Constrained Interactive Recommendation with Natural Language Feedback.
CoRR
Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen, Lawrence Carin
2020 — conf
Semantic Matching via Optimal Partial Transport.
EMNLP (Findings)
Ruiyi Zhang, Changyou Chen, Xinyuan Zhang, Ke Bai, Lawrence Carin
2020 A conf
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory.
AISTATS
Jianyi Zhang, Ruiyi Zhang, Lawrence Carin, Changyou Chen
2020 J jnl
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes.
CoRR
Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed
2019 J jnl
Collaborative Filtering with A Synthetic Feedback Loop.
CoRR
Wenlin Wang, Hongteng Xu, Ruiyi Zhang, Wenqi Wang, Lawrence Carin
2019 J jnl
Figure Captioning with Reasoning and Sequence-Level Training.
CoRR
Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu
2019 — conf
Improving Sequence-to-Sequence Learning via Optimal Transport.
ICLR (Poster)
Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin
2019 J jnl
Improving Sequence-to-Sequence Learning via Optimal Transport.
CoRR
Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin
2019 A* conf
Improving Textual Network Learning with Variational Homophilic Embeddings.
NeurIPS
Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
2019 J jnl
Improving Textual Network Learning with Variational Homophilic Embeddings.
CoRR
Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
2019 J jnl
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions.
CoRR
Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen
2019 — conf
Neural caption generation over figures.
UbiComp/ISWC Adjunct
Charles Chen, Ruiyi Zhang, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu
2019 A conf
Scalable Thompson Sampling via Optimal Transport.
AISTATS
Ruiyi Zhang, Zheng Wen, Changyou Chen, Chen Fang, Tong Yu, Lawrence Carin
2019 J jnl
Scalable Thompson Sampling via Optimal Transport.
CoRR
Ruiyi Zhang, Zheng Wen, Changyou Chen, Lawrence Carin
2019 A* conf
Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning.
NeurIPS
Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen
2019 — conf
Topic-Guided Variational Auto-Encoder for Text Generation.
NAACL-HLT (1)
Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin
2019 J jnl
Topic-Guided Variational Autoencoders for Text Generation.
CoRR
Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin
2019 A* conf
Understanding and Accelerating Particle-Based Variational Inference.
ICML
Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu
2019 A* conf
Variational Annealing of GANs: A Langevin Perspective.
ICML
Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy V. Bobashev, Lawrence Carin
2019 A* conf
Vision-Language Recommendation via Attribute Augmented Multimodal Reinforcement Learning.
ACM Multimedia
Tong Yu, Yilin Shen, Ruiyi Zhang, Xiangyu Zeng, Hongxia Jin
2018 A conf
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling.
UAI
Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen
2018 J jnl
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling.
CoRR
Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen
2018 J jnl
Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference.
CoRR
Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu, Lawrence Carin
2018 A* conf
Adversarial Text Generation via Feature-Mover's Distance.
NeurIPS
Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, Lawrence Carin
2018 A conf
Learning Structural Weight Uncertainty for Sequential Decision-Making.
AISTATS
Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin
2018 J jnl
Learning Structural Weight Uncertainty for Sequential Decision-Making.
CoRR
Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin
2018 A* conf
Policy Optimization as Wasserstein Gradient Flows.
ICML
Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin
2018 J jnl
Policy Optimization as Wasserstein Gradient Flows.
CoRR
Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin
2018 J jnl
Sequence Generation with Guider Network.
CoRR
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Liqun Chen, Dinghan Shen, Guoyin Wang, Lawrence Carin
2018 A* conf
Variational Inference and Model Selection with Generalized Evidence Bounds.
ICML
Liqun Chen, Chenyang Tao, Ruiyi Zhang, Ricardo Henao, Lawrence Carin