Tong Yu

247 papers A* 46A 16B 6C 2Misc 9Journal 120Unranked 48
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
AMPS: Adaptive Modality Preference Steering via Functional Entropy.
CoRR
Zihan Huang, Xintong Li, Rohan Surana, Tong Yu, Rui Wang, Julian J. McAuley, Jingbo Shang, Junda Wu
2026 J jnl
Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SciCap Challenge 2023.
Trans. Assoc. Comput. Linguistics
Ting-Yao Hsu, Yi-Li Hsu, Shaurya Rohatgi, Chieh-Yang Huang, Ho Yin Sam Ng, Ryan Rossi, Sungchul Kim, Tong Yu, Lun-Wei Ku, Clyde Lee Giles, Ting-Hao Kenneth Huang
2026 A* conf
DrunkAgent: Stealthy Memory Corruption in LLM-Powered Recommender Agents.
WWW
Shiyi Yang, Zhibo Hu, Xinshu Li, Chen Wang, Tong Yu, Xiwei Xu, Liming Zhu, Lina Yao
2026 A conf
Dual Conditional Diffusion for Sequential Recommendation.
WSDM
Hongtao Huang, Chengkai Huang, Tong Yu, Xiaojun Chang, Wen Hu, Julian J. McAuley, Lina Yao
2026 A* conf
Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations.
WWW
Yu Xia, Sungchul Kim, Tong Yu, Ryan A. Rossi, Julian J. McAuley
2026 — conf
Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs.
EACL (Findings)
Paiheng Xu, Gang Wu, Xiang Chen, Tong Yu, Chang Xiao, Franck Dernoncourt, Tianyi Zhou, Wei Ai, Viswanathan (Vishy) Swaminathan
2026 J jnl
ThinkRouter: Efficient Reasoning via Routing Thinking between Latent and Discrete Spaces.
CoRR
Xin Xu, Tong Yu, Xiang Chen, Haoliang Wang, Julian J. McAuley, Saayan Mitra
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
2026 J jnl
WS-GRPO: Weakly-Supervised Group-Relative Policy Optimization for Rollout-Efficient Reasoning.
CoRR
Gagan Mundada, Zihan Huang, Rohan Surana, Sheldon Yu, Jennifer Yuntong Zhang, Xintong Li, Tong Yu, Lina Yao, Jingbo Shang, Julian J. McAuley, Xiaojun Wu
2025 Misc conf
A Framework for Fine-Tuning LLMs Using Heterogeneous Feedback.
RANLP
Ryan Aponte, Ryan A. Rossi, Shunan Guo, Franck Dernoncourt, Tong Yu, Xiang Chen, Subrata Mitra, Nedim Lipka
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 J jnl
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms.
CoRR
Chengkai Huang, Hongtao Huang, Tong Yu, Kaige Xie, Junda Wu, Shuai Zhang, Julian J. McAuley, Dietmar Jannach, Lina Yao
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
A Tutorial on Agentic LLM for Recommender Systems.
RecSys
Chengkai Huang, Junda Wu, Tong Yu, Julian J. McAuley, Lina Yao
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
Active Learning for Direct Preference Optimization.
CoRR
Branislav Kveton, Xintong Li, Julian J. McAuley, Ryan A. Rossi, Jingbo Shang, Junda Wu, Tong Yu
2025 A conf
Adaptive Offline Data Replay in Offline-to-Online Reinforcement Learning.
AAMAS
Xu Liu, Tong Yu, Shuai Li
2025 — conf
Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion.
EMNLP (Findings)
Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang
2025 B conf
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs.
COLING
Yu Xia, Rui Wang, Xu Liu, Mingyan Li, Tong Yu, Xiang Chen, Julian J. McAuley, Shuai Li
2025 J jnl
CTRLS: Chain-of-Thought Reasoning via Latent State-Transition.
CoRR
Junda Wu, Yuxin Xiong, Xintong Li, Zhengmian Hu, Tong Yu, Rui Wang, Xiang Chen, Jingbo Shang, Julian J. McAuley
2025 J jnl
Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation.
CoRR
Shubham Agarwal, Sai Sundaresan, Subrata Mitra, Debabrata Mahapatra, Archit Gupta, Rounak Sharma, Nirmal Joshua Kapu, Tong Yu, Shiv Kumar Saini
2025 J jnl
Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation.
Proc. ACM Manag. Data
Shubham Agarwal, Sai Sundaresan, Subrata Mitra, Debabrata Mahapatra, Archit Gupta, Rounak Sharma, Nirmal Joshua Kapu, Tong Yu, Shiv Kumar Saini
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 A conf
Causal Discovery-Driven Change Point Detection in Time Series.
AISTATS
Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu
2025 A* conf
CoMMIT: Coordinated Multimodal Instruction Tuning.
EMNLP
Xintong Li, Junda Wu, Tong Yu, Rui Wang, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Julian J. McAuley, Jingbo Shang
2025 J jnl
CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement.
Trans. Mach. Learn. Res.
Leitian Tao, Xiang Chen, Tong Yu, Tung Mai, Ryan A. Rossi, Yixuan Li, Saayan Mitra
2025 J jnl
DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer.
CoRR
Ruoyu Wang, Junda Wu, Yu Xia, Tong Yu, Ryan A. Rossi, Julian J. McAuley, Lina Yao
2025 A conf
Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning.
IROS
Xiaocong Chen, Siyu Wang, Tong Yu, Lina Yao
2025 — conf
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering.
NAACL (Long Papers)
Yeonjun In, Sungchul Kim, Ryan A. Rossi, Md. Mehrab Tanjim, Tong Yu, Ritwik Sinha, Chanyoung Park
2025 J jnl
Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SCICAP Challenge 2023.
CoRR
Ting-Yao Hsu, Yi-Li Hsu, Shaurya Rohatgi, Chieh-Yang Huang, Ho Yin Sam Ng, Ryan A. Rossi, Sungchul Kim, Tong Yu, Lun-Wei Ku, C. Lee Giles, Ting-Hao K. Huang
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 B conf
Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models.
COLING
Chengkai Huang, Yu Xia, Rui Wang, Kaige Xie, Tong Yu, Julian J. McAuley, Lina Yao
2025 — conf
Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics.
EMNLP (Findings)
Sheldon Yu, Yuxin Xiong, Junda Wu, Xintong Li, Tong Yu, Xiang Chen, Ritwik Sinha, Jingbo Shang, Julian J. McAuley
2025 J jnl
Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics.
CoRR
Sheldon Yu, Yuxin Xiong, Junda Wu, Xintong Li, Tong Yu, Xiang Chen, Ritwik Sinha, Jingbo Shang, Julian J. McAuley
2025 J jnl
Exploring Rewriting Approaches for Different Conversational Tasks.
CoRR
Md. Mehrab Tanjim, Ryan A. Rossi, Mike Rimer, Xiang Chen, Sungchul Kim, Vaishnavi Muppala, Tong Yu, Zhengmian Hu, Ritwik Sinha, Wei Zhang, Iftikhar Ahamath Burhanuddin, Franck Dernoncourt
2025 A* conf
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality.
ICML
Ruhan Wang, Zhiyong Wang, Chengkai Huang, Rui Wang, Tong Yu, Lina Yao, John C. S. Lui, Dongruo Zhou
2025 J jnl
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality.
CoRR
Ruhan Wang, Zhiyong Wang, Chengkai Huang, Rui Wang, Tong Yu, Lina Yao, John C. S. Lui, Dongruo Zhou
2025 — conf
Federated Retrieval Augmented Generation for Multi-Product Question Answering.
COLING (Industry)
Parshin Shojaee, Sai Sree Harsha, Dan Luo, Akash Maharaj, Tong Yu, Yunyao Li
2025 J jnl
Federated Retrieval Augmented Generation for Multi-Product Question Answering.
CoRR
Parshin Shojaee, Sai Sree Harsha, Dan Luo, Akash Maharaj, Tong Yu, Yunyao Li
2025 B conf
Few-shot Fine-grained Image Classification with Interpretable Prompt Learning through Distribution Alignment.
ICMI
Dongliang Guo, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Nedim Lipka, Tong Yu, Sheng Li
2025 Misc conf
FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback.
RANLP
Ashish Singh, Ashutosh Singh, Prateek Agarwal, Zixuan Huang, Arpita Singh, Tong Yu, Sungchul Kim, Victor Soares Bursztyn, Nesreen K. Ahmed, Puneet Mathur, Erik G. Learned-Miller, Franck Dernoncourt, Ryan A. Rossi
2025 J jnl
Five Years of SciCap: What We Learned and Future Directions for Scientific Figure Captioning.
CoRR
Ting-Hao K. Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, Ting-Yao Hsu, Ho Yin Ng, C. Lee Giles
2025 J jnl
From Documents to Dialogue: Building KG-RAG Enhanced AI Assistants.
CoRR
Manisha Mukherjee, Sungchul Kim, Xiang Chen, Dan Luo, Tong Yu, Tung Mai
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 A* conf
Fully Dynamic Embedding into ℓp Spaces.
ICML
Kiarash Banihashem, Xiang Chen, MohammadTaghi Hajiaghayi, Sungchul Kim, Kanak Mahadik, Ryan A. Rossi, Tong Yu
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
Get the Agents Drunk: Memory Perturbations in Autonomous Agent-based Recommender Systems.
CoRR
Shiyi Yang, Zhibo Hu, Chen Wang, Tong Yu, Xiwei Xu, Liming Zhu, Lina Yao
2025 A* conf
Image Difference Captioning via Adversarial Preference Optimization.
EMNLP
Zihan Huang, Junda Wu, Rohan Surana, Tong Yu, David Arbour, Ritwik Sinha, Julian J. McAuley
2025 J jnl
Importance Sampling for Multi-Negative Multimodal Direct Preference Optimization.
CoRR
Xintong Li, Chuhan Wang, Junda Wu, Rohan Surana, Tong Yu, Julian J. McAuley, Jingbo Shang
2025 J jnl
In-context Ranking Preference Optimization.
CoRR
Junda Wu, Rohan Surana, Zhouhang Xie, Yiran Shen, Yu Xia, Tong Yu, Ryan A. Rossi, Prithviraj Ammanabrolu, Julian J. McAuley
2025 A* conf
Interactive Visualization Recommendation with Hier-SUCB.
WWW
Songwen Hu, Ryan A. Rossi, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Shuai Li
2025 J jnl
Interactive Visualization Recommendation with Hier-SUCB.
CoRR
Songwen Hu, Ryan A. Rossi, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Shuai Li
2025 — conf
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval.
NAACL (Long Papers)
Yu Xia, Junda Wu, Sungchul Kim, Tong Yu, Ryan A. Rossi, Haoliang Wang, Julian J. McAuley
2025 — conf
LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles.
EMNLP (Findings)
Ho Yin Sam Ng, Edward Hsu, Aashish Anantha Ramakrishnan, Branislav Kveton, Nedim Lipka, Franck Dernoncourt, Dongwon Lee, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ting-Hao Kenneth Huang
2025 J jnl
LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles.
CoRR
Ho Yin Sam Ng, Ting-Yao Hsu, Aashish Anantha Ramakrishnan, Branislav Kveton, Nedim Lipka, Franck Dernoncourt, Dongwon Lee, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ting-Hao Kenneth Huang
2025 — conf
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey.
NAACL (Findings)
Xiaoyu Liu, Paiheng Xu, Junda Wu, Jiaxin Yuan, Yifan Yang, Yuhang Zhou, Fuxiao Liu, Tianrui Guan, Haoliang Wang, Tong Yu, Julian J. McAuley, Wei Ai, Furong Huang
2025 J jnl
Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction.
CoRR
Hongtao Huang, Chengkai Huang, Junda Wu, Tong Yu, Julian J. McAuley, Lina Yao
2025 J jnl
Mitigating Forgetting Between Supervised and Reinforcement Learning Yields Stronger Reasoners.
CoRR
Xiangchi Yuan, Xiang Chen, Tong Yu, Dachuan Shi, Can Jin, Wenke Lee, Saayan Mitra
2025 — conf
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent.
EMNLP (Findings)
Junda Wu, Yuxin Xiong, Xintong Li, Yu Xia, Ruoyu Wang, Yu Wang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Jingbo Shang, Julian J. McAuley
2025 J jnl
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent.
CoRR
Junda Wu, Yuxin Xiong, Xintong Li, Yu Xia, Ruoyu Wang, Yu Wang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Jingbo Shang, Julian J. McAuley
2025 J jnl
Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations.
CoRR
Yu Xia, Sungchul Kim, Tong Yu, Ryan A. Rossi, Julian J. McAuley
2025 J jnl
Multi-LLM Collaborative Caption Generation in Scientific Documents.
CoRR
Jaeyoung Kim, Jongho Lee, Hongjun Choi, Ting-Yao Hsu, Chieh-Yang Huang, Sungchul Kim, Ryan A. Rossi, Tong Yu, Clyde Lee Giles, Ting-Hao (Kenneth) Huang, Sungchul Choi
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 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 A* conf
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models.
ICLR
Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian J. McAuley
2025 A* conf
Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation.
ICML
Xiao Huang, Xu Liu, Enze Zhang, Tong Yu, Shuai Li
2025 J jnl
Pandora with Inaccurate Priors.
CoRR
Kiarash Banihashem, Xiang Chen, MohammadTaghi Hajiaghayi, Sungchul Kim, Kanak Mahadik, Ryan A. Rossi, Tong Yu
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 J jnl
Pluralistic Off-policy Evaluation and Alignment.
CoRR
Chengkai Huang, Junda Wu, Zhouhang Xie, Yu Xia, Rui Wang, Tong Yu, Subrata Mitra, Julian J. McAuley, Lina Yao
2025 J jnl
Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing.
CoRR
Rongzhi Zhang, Liqin Ye, Yuzhao Heng, Xiang Chen, Tong Yu, Lingkai Kong, Sudheer Chava, Chao Zhang
2025 A* conf
SAND: Boosting LLM Agents with Self-Taught Action Deliberation.
EMNLP
Yu Xia, Yiran Shen, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Julian J. McAuley
2025 J jnl
SAND: Boosting LLM Agents with Self-Taught Action Deliberation.
CoRR
Yu Xia, Yiran Shen, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Julian J. McAuley
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
Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs.
CoRR
Paiheng Xu, Gang Wu, Xiang Chen, Tong Yu, Chang Xiao, Franck Dernoncourt, Tianyi Zhou, Wei Ai, Viswanathan (Vishy) Swaminathan
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 Improving Long-Tail Entity Predictions in Temporal Knowledge Graphs through Global Similarity and Weighted Sampling.
CoRR
Mehrnoosh Mirtaheri, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Tong Yu, Xiang Chen, Mohammad Rostami
2025 J jnl
Understanding How Paper Writers Use AI-Generated Captions in Figure Caption Writing.
CoRR
Ho Yin Ng, Ting-Yao Hsu, Jiyoo Min, Sungchul Kim, Ryan A. Rossi, Tong Yu, Hyunggu Jung, Ting-Hao Kenneth Huang
2025 B conf
VisChatter: Enhance Synchronous Collaboration on Data Visualization Dashboard with Visual Annotations.
CogSci
Songwen Hu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Cindy Xiong Bearfield
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
2025 J jnl
WaterFlow: Learning Fast & Robust Watermarks using Stable Diffusion.
CoRR
Vinay Shukla, Prachee Sharma, Ryan A. Rossi, Sungchul Kim, Tong Yu, Aditya Grover
2025 A conf
Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation.
IROS
Ruoyu Wang, Tong Yu, Junda Wu, Yao Liu, Julian J. McAuley, Lina Yao
2025 J jnl
Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation.
CoRR
Ruoyu Wang, Tong Yu, Junda Wu, Yao Liu, Julian J. McAuley, Lina Yao
2024 J jnl
A Framework for Fine-Tuning LLMs using Heterogeneous Feedback.
CoRR
Ryan Aponte, Ryan A. Rossi, Shunan Guo, Franck Dernoncourt, Tong Yu, Xiang Chen, Subrata Mitra, Nedim Lipka
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 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 — conf
Advancing Vision-Language Models with Adapter Ensemble Strategies.
EMNLP (Findings)
Yue Bai, Handong Zhao, Zhe Lin, Ajinkya Kale, Jiuxiang Gu, Tong Yu, Sungchul Kim, Yun Fu
2024 — conf
Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback.
NAACL-HLT
Yu Xia, Tong Yu, Zhankui He, Handong Zhao, Julian J. McAuley, Shuai Li
2024 — conf
Are Large Language Models Capable of Causal Reasoning for Sensing Data Analysis?
EdgeFM@MobiSys
Zhizhang Hu, Yue Zhang, Ryan A. Rossi, Tong Yu, Sungchul Kim, Shijia Pan
2024 J jnl
Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion.
CoRR
Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang
2024 J jnl
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs.
CoRR
Yu Xia, Rui Wang, Xu Liu, Mingyan Li, Tong Yu, Xiang Chen, Julian J. McAuley, Shuai Li
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
Calibrating Reasoning in Language Models with Internal Consistency.
NeurIPS
Zhihui Xie, Jizhou Guo, Tong Yu, Shuai Li
2024 J jnl
Calibrating Reasoning in Language Models with Internal Consistency.
CoRR
Zhihui Xie, Jizhou Guo, Tong Yu, Shuai Li
2024 J jnl
Causal Discovery in Semi-Stationary Time Series.
CoRR
Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu
2024 J jnl
Causal Discovery-Driven Change Point Detection in Time Series.
CoRR
Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu
2024 J jnl
CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models.
CoRR
Junda Wu, Xintong Li, Tong Yu, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Jingbo Shang, Julian J. McAuley
2024 A* conf
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation.
KDD
Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley
2024 J jnl
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation.
CoRR
Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley
2024 J jnl
CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement.
CoRR
Leitian Tao, Xiang Chen, Tong Yu, Tung Mai, Ryan A. Rossi, Yixuan Li, Saayan Mitra
2024 J jnl
Customizing graph neural networks using path reweighting.
Inf. Sci.
Jianpeng Chen, Yujing Wang, Ming Zeng, Zongyi Xiang, Bitan Hou, Tong Yu, Ole J. Mengshoel, Yazhou Ren
2024 — conf
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention.
ACL (1)
Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, Anup B. Rao, Julian J. McAuley
2024 J jnl
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations.
CoRR
Zhihui Xie, Handong Zhao, Tong Yu, Shuai Li
2024 J jnl
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering.
CoRR
Yeonjun In, Sungchul Kim, Ryan A. Rossi, Md. Mehrab Tanjim, Tong Yu, Ritwik Sinha, Chanyoung Park
2024 A* conf
Editing Partially Observable Networks via Graph Diffusion Models.
ICML
Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra
2024 Misc conf
Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification.
ICASSP
Zhehao Zhang, Tong Yu, Handong Zhao, Kaige Xie, Lina Yao, Shuai Li
2024 J jnl
Fairness-Aware Graph Neural Networks: A Survey.
ACM Trans. Knowl. Discov. Data
April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed
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
Foundation Models for Recommender Systems: A Survey and New Perspectives.
CoRR
Chengkai Huang, Tong Yu, Kaige Xie, Shuai Zhang, Lina Yao, Julian J. McAuley
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 — conf
Hallucination Diversity-Aware Active Learning for Text Summarization.
NAACL-HLT
Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li
2024 J jnl
Hallucination Diversity-Aware Active Learning for Text Summarization.
CoRR
Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li
2024 A conf
Interact with the Explanations: Causal Debiased Explainable Recommendation System.
WSDM
Xu Liu, Tong Yu, Kaige Xie, Junda Wu, Shuai Li
2024 J jnl
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval.
CoRR
Yu Xia, Junda Wu, Sungchul Kim, Tong Yu, Ryan A. Rossi, Haoliang Wang, Julian J. McAuley
2024 J jnl
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey.
CoRR
Xiaoyu Liu, Paiheng Xu, Junda Wu, Jiaxin Yuan, Yifan Yang, Yuhang Zhou, Fuxiao Liu, Tianrui Guan, Haoliang Wang, Tong Yu, Julian J. McAuley, Wei Ai, Furong Huang
2024 J jnl
Learn When (not) to Trust Language Models: A Privacy-Centric Adaptive Model-Aware Approach.
CoRR
Chengkai Huang, Rui Wang, Kaige Xie, Tong Yu, Lina Yao
2024 J jnl
Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models.
CoRR
Younghun Lee, Sungchul Kim, Tong Yu, Ryan A. Rossi, Xiang Chen
2024 J jnl
Learning to Reduce: Towards Improving Performance of Large Language Models on Structured Data.
CoRR
Younghun Lee, Sungchul Kim, Ryan A. Rossi, Tong Yu, Xiang Chen
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
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
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models.
CoRR
Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian J. McAuley
2024 J jnl
Online Learning and Detecting Corrupted Users for Conversational Recommendation Systems.
IEEE Trans. Knowl. Data Eng.
Xiangxiang Dai, Zhiyong Wang, Jize Xie, Tong Yu, John C. S. Lui
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 — conf
SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings.
CHI Extended Abstracts
Ting-Yao Hsu, Chieh-Yang Huang, Shih-Hong Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, C. Lee Giles, Ting-Hao Kenneth Huang
2024 J jnl
SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings.
CoRR
Ting-Yao Hsu, Chieh-Yang Huang, Shih-Hong Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, C. Lee Giles, Ting-Hao K. Huang
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
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model.
J. Mach. Learn. Res.
Rashmi Ranjan Bhuyan, Adel Javanmard, Sungchul Kim, Gourab Mukherjee, Ryan A. Rossi, Tong Yu, Handong Zhao
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 — conf
Tackling Long-Tail Entities for Temporal Knowledge Graph Completion.
WWW (Companion Volume)
Mehrnoosh Mirtaheri, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Tong Yu, Xiang Chen, Mohammad Rostami
2024 A* conf
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression.
NeurIPS
Shuai Li, Zhao Song, Yu Xia, Tong Yu, Tianyi Zhou
2024 A* conf
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search.
ICLR
Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor S. Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang
2024 J jnl
Toward joint utilization of absolute and relative bandit feedback for conversational recommendation.
User Model. User Adapt. Interact.
Yu Xia, Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li
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
Uncertainty-aware Distributional Offline Reinforcement Learning.
CoRR
Xiaocong Chen, Siyu Wang, Tong Yu, Lina Yao
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
2024 A* conf
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits.
WWW
Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li
2024 J jnl
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits.
CoRR
Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li
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 A* conf
Causal Discovery in Semi-Stationary Time Series.
NeurIPS
Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu
2023 J jnl
Clustering of conversational bandits with posterior sampling for user preference learning and elicitation.
User Model. User Adapt. Interact.
Qizhi Li, Canzhe Zhao, Tong Yu, Junda Wu, Shuai Li
2023 C conf
Content-aware Progressive Image Compression and Syncing.
ISM
Junda Wu, Haoliang Wang, Tong Yu, Gang Wu, Stefano Petrangeli, Handong Zhao, Sungchul Kim, Viswanathan Swaminathan
2023 A* conf
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs.
ICLR
Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco
2023 J jnl
Fairness-Aware Graph Neural Networks: A Survey.
CoRR
April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed
2023 — conf
Fast Natural Language Based Data Exploration with Samples.
SIGMOD Conference Companion
Shubham Agarwal, Gromit Yeuk-Yin Chan, Shaddy Garg, Tong Yu, Subrata Mitra
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 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
FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback.
CoRR
Ashish Singh, Prateek Agarwal, Zixuan Huang, Arpita Singh, Tong Yu, Sungchul Kim, Victor S. Bursztyn, Nikos Vlassis, Ryan A. Rossi
2023 C conf
GPU-accelerated Lossless Image Compression with Massive Parallelization.
ISM
Yu Shen, Gang Wu, Vishy Swaminathan, Haoliang Wang, Stefano Petrangeli, Tong Yu
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 B conf
Interpretable Unsupervised Log Anomaly Detection.
IEEE Big Data
Jaeho Bang, Sungchul Kim, Ryan A. Rossi, Tong Yu, Handong Zhao
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 J jnl
Leveraging Graph Diffusion Models for Network Refinement Tasks.
CoRR
Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra
2023 A* conf
Online Corrupted User Detection and Regret Minimization.
NeurIPS
Zhiyong Wang, Jize Xie, Tong Yu, Shuai Li, John C. S. Lui
2023 J jnl
Online Corrupted User Detection and Regret Minimization.
CoRR
Zhiyong Wang, Jize Xie, Tong Yu, Shuai Li, John C. S. Lui
2023 A* conf
Reinforced Approximate Exploratory Data Analysis.
AAAI
Shaddy Garg, Subrata Mitra, Tong Yu, Yash Gadhia, Arjun Kashettiwar
2023 J jnl
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model.
CoRR
Rashmi Ranjan Bhuyan, Adel Javanmard, Sungchul Kim, Gourab Mukherjee, Ryan A. Rossi, Tong Yu, Handong Zhao
2023 J jnl
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression.
CoRR
Shuai Li, Zhao Song, Yu Xia, Tong Yu, Tianyi Zhou
2023 J jnl
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search.
CoRR
Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor S. Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang
2023 A* conf
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models.
CVPR
Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang
2023 — conf
Understanding Demonstration-based Learning from a Causal Perspective.
ACL (2)
Ruiyi Zhang, Tong Yu
2023 A* conf
User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback.
KDD
Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Shuai Li
2022 A conf
Bundle MCR: Towards Conversational Bundle Recommendation.
RecSys
Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley
2022 J jnl
Bundle MCR: Towards Conversational Bundle Recommendation.
CoRR
Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley
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 J jnl
Comparison-based Conversational Recommender System with Relative Bandit Feedback.
CoRR
Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li
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 J jnl
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs.
CoRR
Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco
2022 A* conf
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations.
EMNLP
Zhihui Xie, Handong Zhao, Tong Yu, Shuai Li
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 A* conf
EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval.
CVPR
Haoyu Ma, Handong Zhao, Zhe Lin, Ajinkya Kale, Zhangyang Wang, Tong Yu, Jiuxiang Gu, Sunav Choudhary, Xiaohui Xie
2022 A* conf
External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters.
KDD
Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu
2022 A* conf
FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding.
WWW
Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu, Jing Gao
2022 J jnl
Federated Online Clustering of Bandits.
CoRR
Xutong Liu, Haoru Zhao, Tong Yu, Shuai Li, John C. S. Lui
2022 A conf
Federated online clustering of bandits.
UAI
Xutong Liu, Haoru Zhao, Tong Yu, Shuai Li, John C. S. Lui
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 A conf
Hierarchical Conversational Preference Elicitation with Bandit Feedback.
CIKM
Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong
2022 J jnl
Hierarchical Conversational Preference Elicitation with Bandit Feedback.
CoRR
Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong
2022 A* conf
Knowledge-aware Conversational Preference Elicitation with Bandit Feedback.
WWW
Canzhe Zhao, Tong Yu, Zhihui Xie, Shuai Li
2022 J jnl
Reinforced Approximate Exploratory Data Analysis.
CoRR
Shaddy Garg, Subrata Mitra, Tong Yu, Yash Gadhia, Arjun Kashettiwar
2022 A* conf
Spatial-Temporal Aligned Multi-Agent Learning for Visual Dialog Systems.
ACM Multimedia
Yong Zhuang, Tong Yu, Junda Wu, Shiqu Wu, Shuai Li
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
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models.
CoRR
Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang
2022 A conf
Understanding the cost of fitness evaluation for subset selection: Markov chain analysis of stochastic local search.
GECCO
Ole Jakob Mengshoel, Eirik Lund Flogard, Tong Yu, Jon Riege
2022 — conf
VMA: Domain Variance- and Modality-Aware Model Transfer for Fine-Grained Occupant Activity Recognition.
IPSN
Zhizhang Hu, Yue Zhang, Tong Yu, Shijia Pan
2021 A conf
Clustering of Conversational Bandits for User Preference Learning and Elicitation.
CIKM
Junda Wu, Canzhe Zhao, Tong Yu, Jingyang Li, Shuai Li
2021 A* conf
Comparison-based Conversational Recommender System with Relative Bandit Feedback.
SIGIR
Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li
2021 A* conf
Deconfounded and Explainable Interactive Vision-Language Retrieval of Complex Scenes.
ACM Multimedia
Junda Wu, Tong Yu, Shuai Li
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 — conf
Stochastic local search for efficient hybrid feature selection.
GECCO Companion
Ole Jakob Mengshoel, Tong Yu, Jon Riege, Eirik Flogard
2020 — conf
CML-IOT 2020: the second workshop on continual and multimodal learning for internet of things.
UbiComp/ISWC Adjunct
Susu Xu, Shijia Pan, Tong Yu
2020 — conf
Fine-grained activities recognition with coarse-grained labeled multi-modal data.
UbiComp/ISWC Adjunct
Zhizhang Hu, Tong Yu, Yue Zhang, Shijia Pan
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 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 J jnl
Reward Constrained Interactive Recommendation with Natural Language Feedback.
CoRR
Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen, Lawrence Carin
2020 A conf
Stochastic Local Search and Machine Learning: From Theory to Applications and Vice Versa.
ECAI
Ole Jakob Mengshoel, Tong Yu, Ming Zeng
2020 A* conf
Towards Hands-Free Visual Dialog Interactive Recommendation.
AAAI
Tong Yu, Yilin Shen, Hongxia Jin
2019 A* conf
A Visual Dialog Augmented Interactive Recommender System.
KDD
Tong Yu, Yilin Shen, Hongxia Jin
2019 — conf
CML-IOT 2019: the first workshop on continual and multimodal learning for internet of things.
UbiComp/ISWC Adjunct
Tong Yu, Shijia Pan, Susu Xu, Yilin Shen, Botao Hao
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
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 A* conf
Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning.
NeurIPS
Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen
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
Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models.
AAAI
Bing Liu, Tong Yu, Ian R. Lane, Ole J. Mengshoel
2018 — conf
ILPC: Iterative Learning Using Physical Constraints in Real-World Sensing Data.
AAAI Workshops
Tong Yu, Shijia Pan, Susu Xu, Xinlei Chen, Mostafa Mirshekari, Jonathon Fagert, Hae Young Noh, Pei Zhang, Ole J. Mengshoel
2018 — conf
Improving Bag-Of-Words: Capturing Local Information for Motion-Based Activity Recognition.
UbiComp/ISWC Adjunct
Ming Zeng, Tong Yu, Ole J. Mengshoel, Helen Qin, Chris Lee, John Paul Shen
2018 B conf
Mitigating Multi-tenant Interference in Continuous Mobile Offloading.
CLOUD
Zhou Fang, Mulong Luo, Tong Yu, Ole J. Mengshoel, Mani B. Srivastava, Rajesh K. Gupta
2018 Misc conf
Privacy Partition: A Privacy-Preserving Framework for Deep Neural Networks in Edge Networks.
SEC
Jianfeng Chi, Emmanuel Owusu, Xuwang Yin, Tong Yu, William Chan, Yiming Liu, Haodong Liu, Jiasen Chen, Swee Sim, Vibha Iyengar, Patrick Tague, Yuan Tian
2018 J jnl
Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase.
CoRR
Jianfeng Chi, Emmanuel Owusu, Xuwang Yin, Tong Yu, William Chan, Patrick Tague, Yuan Tian
2018 J jnl
Semi-Supervised Convolutional Neural Networks for Human Activity Recognition.
CoRR
Ming Zeng, Tong Yu, Xiao Wang, Le T. Nguyen, Ole J. Mengshoel, Ian R. Lane
2018 — conf
SpectralLeader: Online Spectral Learning for Single Topic Models.
ECML/PKDD (2)
Tong Yu, Branislav Kveton, Zheng Wen, Hung Bui, Ole J. Mengshoel
2018 J jnl
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention.
CoRR
Ming Zeng, Haoxiang Gao, Tong Yu, Ole J. Mengshoel, Helge Langseth, Ian R. Lane, Xiaobing Liu
2018 Misc conf
Understanding and improving recurrent networks for human activity recognition by continuous attention.
UbiComp
Ming Zeng, Haoxiang Gao, Tong Yu, Ole J. Mengshoel, Helge Langseth, Ian R. Lane, Xiaobing Liu
2017 J jnl
Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models.
CoRR
Bing Liu, Tong Yu, Ian R. Lane, Ole J. Mengshoel
2017 J jnl
FootprintID: Indoor Pedestrian Identification through Ambient Structural Vibration Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Shijia Pan, Tong Yu, Mostafa Mirshekari, Jonathon Fagert, Amelie Bonde, Ole J. Mengshoel, Hae Young Noh, Pei Zhang
2017 — conf
Mitigating multi-tenant interference on mobile offloading servers: poster abstract.
SoCC
Zhou Fang, Mulong Luo, Tong Yu, Ole J. Mengshoel, Mani B. Srivastava, Rajesh K. Gupta
2017 A conf
QoS-Aware Scheduling of Heterogeneous Servers for Inference in Deep Neural Networks.
CIKM
Zhou Fang, Tong Yu, Ole J. Mengshoel, Rajesh K. Gupta
2017 — conf
Semi-supervised convolutional neural networks for human activity recognition.
IEEE BigData
Ming Zeng, Tong Yu, Xiao Wang, Le T. Nguyen, Ole J. Mengshoel, Ian R. Lane
2017 J jnl
SpectralFPL: Online Spectral Learning for Single Topic Models.
CoRR
Tong Yu, Branislav Kveton, Zheng Wen, Hung Bui, Ole J. Mengshoel
2017 — conf
Thompson Sampling for Optimizing Stochastic Local Search.
ECML/PKDD (1)
Tong Yu, Branislav Kveton, Ole J. Mengshoel
2017 — conf
Towards continuous and passive authentication across mobile devices: an empirical study.
WISEC
Xiao Wang, Tong Yu, Ole J. Mengshoel, Patrick Tague
2017 J jnl
XRec: Behavior-Based User Recognition Across Mobile Devices.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Xiao Wang, Tong Yu, Ming Zeng, Patrick Tague
2016 — conf
Hybridizing Personal and Impersonal Machine Learning Models for Activity Recognition on Mobile Devices.
MobiCASE
Tong Yu, Yong Zhuang, Ole J. Mengshoel, Osman Yagan
2016 — conf
Incremental learning for matrix factorization in recommender systems.
IEEE BigData
Tong Yu, Ole J. Mengshoel, Alvin Jude, Eugen Feller, Julien Forgeat, Nimish Radia
2016 A* conf
Markov Chain Analysis of Noise and Restart in Stochastic Local Search.
IJCAI
Ole J. Mengshoel, Youssef Ahres, Tong Yu
2015 J jnl
Combination of feature engineering and ranking models for paper-author identification in KDD cup 2013.
J. Mach. Learn. Res.
Chun-Liang Li, Yu-Chuan Su, Ting-Wei Lin, Cheng-Hao Tsai, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Chun-Pai Yang, Cheng-Xia Chang, Wei-Sheng Chin, Yu-Chin Juan, Hsiao-Yu Tung, Jui-Pin Wang, Cheng-Kuang Wei, Felix Wu, Tu-Chun Yin, Tong Yu, Yong Zhuang, Shou-De Lin, Hsuan-Tien Lin, Chih-Jen Lin
2015 J jnl
Soft-assigned bag of features for object tracking.
Multim. Syst.
Tongwei Ren, Zhongyan Qiu, Yan Liu, Tong Yu, Jia Bei
2014 J jnl
Big Data Small Footprint: The Design of A Low-Power Classifier for Detecting Transportation Modes.
Proc. VLDB Endow.
Meng-Chieh Yu, Tong Yu, Shao-Chen Wang, Chih-Jen Lin, Edward Y. Chang
2014 J jnl
Effective string processing and matching for author disambiguation.
J. Mach. Learn. Res.
Wei-Sheng Chin, Yong Zhuang, Yu-Chin Juan, Felix Wu, Hsiao-Yu Tung, Tong Yu, Jui-Pin Wang, Cheng-Xia Chang, Chun-Pai Yang, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Yu-Chuan Su, Cheng-Kuang Wei, Tu-Chun Yin, Chun-Liang Li, Ting-Wei Lin, Cheng-Hao Tsai, Shou-De Lin, Hsuan-Tien Lin, Chih-Jen Lin
2013 — conf
Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013.
KDD Cup
Chun-Liang Li, Yu-Chuan Su, Ting-Wei Lin, Cheng-Hao Tsai, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Chun-Pai Yang, Cheng-Xia Chang, Wei-Sheng Chin, Yu-Chin Juan, Hsiao-Yu Tung, Jui-Pin Wang, Cheng-Kuang Wei, Felix Wu, Tu-Chun Yin, Tong Yu, Yong Zhuang, Shou-De Lin, Hsuan-Tien Lin, Chih-Jen Lin
2013 — conf
Effective string processing and matching for author disambiguation.
KDD Cup
Wei-Sheng Chin, Yu-Chin Juan, Yong Zhuang, Felix Wu, Hsiao-Yu Tung, Tong Yu, Jui-Pin Wang, Cheng-Xia Chang, Chun-Pai Yang, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Yu-Chuan Su, Cheng-Kuang Wei, Tu-Chun Yin, Chun-Liang Li, Ting-Wei Lin, Cheng-Hao Tsai, Shou-De Lin, Hsuan-Tien Lin, Chih-Jen Lin
2013 — conf
Soft-assigned bag of features tracking.
ICIMCS
Zhongyan Qiu, Tong Yu, Tongwei Ren, Yan Liu, Jia Bei