Yu, Tong

44 publications

WACV 2025 ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models Jianyi Zhang, Yufan Zhou, Jiuxiang Gu, Curtis Wigington, Tong Yu, Yiran Chen, Tong Sun, Ruiyi Zhang

AISTATS 2025 Causal Discovery-Driven Change Point Detection in Time Series Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu

TMLR 2025 CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement Leitian Tao, Xiang Chen, Tong Yu, Tung Mai, Ryan A. Rossi, Yixuan Li, Saayan Mitra

ICML 2025 Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Ruhan Wang, Zhiyong Wang, Chengkai Huang, Rui Wang, Tong Yu, Lina Yao, John C.S. Lui, Dongruo Zhou

ICML 2025 Fully Dynamic Embedding into $\ell_p$ Spaces Kiarash Banihashem, Xiang Chen, Mohammadtaghi Hajiaghayi, Sungchul Kim, Kanak Mahadik, Ryan A. Rossi, Tong Yu

NeurIPS 2025 Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction Hongtao Huang, Chengkai Huang, Junda Wu, Tong Yu, Julian McAuley, Lina Yao

AAAI 2025 Numerical Pruning for Efficient Autoregressive Models 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

ICLR 2025 OCEAN: Offline Chain-of-Thought Evaluation and Alignment in Large Language Models Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian McAuley

ICML 2025 Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation Xiao Huang, Xu Liu, Enze Zhang, Tong Yu, Shuai Li

TMLR 2025 Personalization of Large Language Models: A Survey 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

ICLR 2025 SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun

ICLRW 2025 WaterFlow: Learning Fast & Robust Watermarks Using Stable Diffusion Vinay Shukla, Prachee Sharma, Ryan A. Rossi, Sungchul Kim, Tong Yu, Aditya Grover

NeurIPS 2024 Calibrating Reasoning in Language Models with Internal Consistency Zhihui Xie, Jizhou Guo, Tong Yu, Shuai Li

ICML 2024 Editing Partially Observable Networks via Graph Diffusion Models Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra

ICMLW 2024 Learning to Reduce: Towards Improving Performance of Large Language Models on Structured Data Younghun Lee, Sungchul Kim, Ryan A. Rossi, Tong Yu, Xiang Chen

JMLR 2024 Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model Rashmi Ranjan Bhuyan, Adel Javanmard, Sungchul Kim, Gourab Mukherjee, Ryan A. Rossi, Tong Yu, Handong Zhao

NeurIPS 2024 The Closeness of In-Context Learning and Weight Shifting for SoftMax Regression Shuai Li, Zhao Song, Yu Xia, Tong Yu, Tianyi Zhou

ICLR 2024 ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang

NeurIPS 2023 Causal Discovery in Semi-Stationary Time Series Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan Rossi, Murat Kocaoglu

ICLR 2023 ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length Ruslan Khalitov, Tong Yu, Lei Cheng, Zhirong Yang

ICLR 2023 Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron N Musco

NeurIPS 2023 InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao

NeurIPS 2023 Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels Jian Chen, Ruiyi Zhang, Tong Yu, Rohan Sharma, Zhiqiang Xu, Tong Sun, Changyou Chen

NeurIPS 2023 Online Corrupted User Detection and Regret Minimization Zhiyong Wang, Jize Xie, Tong Yu, Shuai Li, John C.S. Lui

AAAI 2023 Reinforced Approximate Exploratory Data Analysis Shaddy Garg, Subrata Mitra, Tong Yu, Yash Gadhia, Arjun Kashettiwar

NeurIPSW 2023 Towards Building the FederatedGPT: Federated Instruction Tuning Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Tong Yu, Guoyin Wang, Yiran Chen

CVPR 2023 Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang

CVPR 2022 EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval Haoyu Ma, Handong Zhao, Zhe Lin, Ajinkya Kale, Zhangyang Wang, Tong Yu, Jiuxiang Gu, Sunav Choudhary, Xiaohui Xie

UAI 2022 Federated Online Clustering of Bandits Xutong Liu, Haoru Zhao, Tong Yu, Shuai Li, John C.S. Lui

CVPR 2022 Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention Tong Yu, Ruslan Khalitov, Lei Cheng, Zhirong Yang

AAAI 2022 Text-Based Interactive Recommendation via Offline Reinforcement Learning Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin

AAAI 2022 TiGAN: Text-Based Interactive Image Generation and Manipulation Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun

CVPR 2022 Towards Language-Free Training for Text-to-Image Generation Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun

ICML 2020 Graphical Models Meet Bandits: A Variational Thompson Sampling Approach Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel

AAAI 2020 Towards Hands-Free Visual Dialog Interactive Recommendation Tong Yu, Yilin Shen, Hongxia Jin

AISTATS 2019 Scalable Thompson Sampling via Optimal Transport Ruiyi Zhang, Zheng Wen, Changyou Chen, Chen Fang, Tong Yu, Lawrence Carin

NeurIPS 2019 Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen

AAAI 2018 Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models Bing Liu, Tong Yu, Ian R. Lane, Ole J. Mengshoel

ECML-PKDD 2018 SpectralLeader: Online Spectral Learning for Single Topic Models Tong Yu, Branislav Kveton, Zheng Wen, Hung Bui, Ole J. Mengshoel

ECML-PKDD 2017 Thompson Sampling for Optimizing Stochastic Local Search Tong Yu, Branislav Kveton, Ole J. Mengshoel

IJCAI 2016 Markov Chain Analysis of Noise and Restart in Stochastic Local Search Ole J. Mengshoel, Youssef Ahres, Tong Yu

JMLR 2015 Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013 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

JMLR 2014 Effective String Processing and Matching for Author Disambiguation 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

AAAI 2008 Semantic Web Development for Traditional Chinese Medicine Zhaohui Wu, Tong Yu, Huajun Chen, Xiaohong Jiang, Chunying Zhou, Yu Zhang, Yuxin Mao, Yi Feng, Meng Cui, Aining Yin