Tong Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
128
Venues
46
Active years
2004–2026
Best venue rank
A*
Where they publish
- A*EMNLP10 papers
- A*AAAI9 papers
- A*WWW9 papers
- A*ACL8 papers
- ANAACL8 papers
- A*KDD6 papers
- A*ICLR5 papers
- A*ICML5 papers
- NationalRANLP4 papers
- A*CVPR4 papers
- NationalIRI4 papers
- AEACL3 papers
- BCOLING3 papers
- ACIKM3 papers
- CHealthCom3 papers
- BICPR2 papers
- A*SIGMOD2 papers
- AWSDM2 papers
- AAISTATS2 papers
- AIROS2 papers
- ARecSys2 papers
- A*CHI2 papers
- MulticonferenceICASSP2 papers
- CISM2 papers
- AGECCO2 papers
- A*SIGIR2 papers
- UnrankedSENSYS2 papers
- CIGARSS2 papers
- BPAKDD1 paper
- BCogSci1 paper
- BICMI1 paper
- A*OSDI1 paper
- AWACV1 paper
- RegionalNordiCHI1 paper
- BTrustCom1 paper
- NationalHCI1 paper
- AUAI1 paper
- BACCV1 paper
- AECAI1 paper
- AMICCAI1 paper
- BIJCNN1 paper
- CKSEM1 paper
- BCLOUD1 paper
- A*IJCAI1 paper
- CAPSCC1 paper
- BICTAI1 paper
Papers
128 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use. | Zhehao Zhang, Ryan A. Rossi, Tong Yu, Franck Dernoncourt, Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Xiang Chen, Zichao Wang, Nedim Lipka |
| 2026 | ACL | CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing. | Rui Wang, Junda Wu, Yu Xia, Tong Yu, Ruiyi Zhang, Ryan A. Rossi, Subrata Mitra, Lina Yao, Julian J. McAuley |
| 2026 | EACL | A Survey on LLM-based Conversational User Simulation. | 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 | EACL | Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs. | Paiheng Xu, Gang Wu, Xiang Chen, Tong Yu, Chang Xiao, Franck Dernoncourt, Tianyi Zhou, Wei Ai, Viswanathan (Vishy) Swaminathan |
| 2026 | ICPR | Multimodal Contrastive Enhancement Network for Cross-Ethnic Analysis of Degenerative Brain Regions in Alzheimer's Disease. | Haoran Zhu, Tong Yu, Zhen Hua, Ling Ge, Jianjia Wang |
| 2026 | ICPR | Time-Domain Quantum Diffusion Graph Networks for fMRI in Alzheimer's Disease Diagnosis. | Haoran Zhu, Tong Yu, Chaoqun Wang, Jianjia Wang |
| 2026 | PAKDD | Federated Large Language Models: Current Progress and Future Directions. | Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan Rossi, Ang Li, Lina Yao, Julian J. McAuley, Yiran Chen, Carlee Joe-Wong |
| 2026 | WWW | Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations. | Yu Xia, Sungchul Kim, Tong Yu, Ryan A. Rossi, Julian J. McAuley |
| 2026 | WWW | DrunkAgent: Stealthy Memory Corruption in LLM-Powered Recommender Agents. | Shiyi Yang, Zhibo Hu, Xinshu Li, Chen Wang, Tong Yu, Xiwei Xu, Liming Zhu, Lina Yao |
| 2026 | SIGMOD | Building, Serving, and Growing a Conversational AI Assistant for Enterprise. | Sumit Bhatia, Vidit Bhatia, Uttaran Bhattacharya, Victor Soares Bursztyn, Liqun Chen, Xiang Chen, Sally Fang, Horia Galatanu, Manas Garg, Shaddy Garg, Rachel Hanessian, Alex Hodorogea, Shun Jiang, Bhumir Jhaveri, Nishant Kapoor, Yongsung Kim, Eunyee Koh, Namita Krishnan, Yunyao Li, Zifan Liu, Akash Maharaj, Tung Mai, Saayan Mitra, Vaishnavi Muppala, Ramasuri Narayanam, Soumyabrata Pal, Kun Qian, Sajjadur Rahman, Ken Russell, Bikas Saha, Siddhartha Sahai, Som Satapathy, Rohan Saxena, Sai Sree Harsha, Anirudh Sureshan, Shashank Tandon, Md. Mehrab Tanjim, Saurabh Tripathy, Anirudh Verma, Fei Wu, Tong Yu |
| 2026 | WSDM | Dual Conditional Diffusion for Sequential Recommendation. | Hongtao Huang, Chengkai Huang, Tong Yu, Xiaojun Chang, Wen Hu, Julian J. McAuley, Lina Yao |
| 2025 | AAAI | 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 |
| 2025 | ACL | GUI Agents: A Survey. | 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 | ACL | Doc-React: Multi-page Heterogeneous Document Question-answering. | 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 | ACL | From Selection to Generation: A Survey of LLM-based Active Learning. | 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 | AISTATS | Causal Discovery-Driven Change Point Detection in Time Series. | Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu |
| 2025 | CogSci | VisChatter: Enhance Synchronous Collaboration on Data Visualization Dashboard with Visual Annotations. | Songwen Hu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Cindy Xiong Bearfield |
| 2025 | COLING | Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models. | Chengkai Huang, Yu Xia, Rui Wang, Kaige Xie, Tong Yu, Julian J. McAuley, Lina Yao |
| 2025 | COLING | Federated Retrieval Augmented Generation for Multi-Product Question Answering. | Parshin Shojaee, Sai Sree Harsha, Dan Luo, Akash Maharaj, Tong Yu, Yunyao Li |
| 2025 | COLING | Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs. | Yu Xia, Rui Wang, Xu Liu, Mingyan Li, Tong Yu, Xiang Chen, Julian J. McAuley, Shuai Li |
| 2025 | EMNLP | Image Difference Captioning via Adversarial Preference Optimization. | Zihan Huang, Junda Wu, Rohan Surana, Tong Yu, David Arbour, Ritwik Sinha, Julian J. McAuley |
| 2025 | EMNLP | Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. | Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang |
| 2025 | EMNLP | CoMMIT: Coordinated Multimodal Instruction Tuning. | Xintong Li, Junda Wu, Tong Yu, Rui Wang, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Julian J. McAuley, Jingbo Shang |
| 2025 | EMNLP | LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles. | 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 | EMNLP | Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent. | 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 | EMNLP | SAND: Boosting LLM Agents with Self-Taught Action Deliberation. | Yu Xia, Yiran Shen, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Julian J. McAuley |
| 2025 | EMNLP | Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics. | Sheldon Yu, Yuxin Xiong, Junda Wu, Xintong Li, Tong Yu, Xiang Chen, Ritwik Sinha, Jingbo Shang, Julian J. McAuley |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 J. McAuley |
| 2025 | ICMI | Few-shot Fine-grained Image Classification with Interpretable Prompt Learning through Distribution Alignment. | Dongliang Guo, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Nedim Lipka, Tong Yu, Sheng Li |
| 2025 | ICML | Fully Dynamic Embedding into ℓp Spaces. | Kiarash Banihashem, Xiang Chen, MohammadTaghi Hajiaghayi, Sungchul Kim, Kanak Mahadik, Ryan A. Rossi, Tong Yu |
| 2025 | ICML | Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation. | Xiao Huang, Xu Liu, Enze Zhang, Tong Yu, Shuai Li |
| 2025 | ICML | 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 |
| 2025 | IROS | Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning. | Xiaocong Chen, Siyu Wang, Tong Yu, Lina Yao |
| 2025 | IROS | Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation. | Ruoyu Wang, Tong Yu, Junda Wu, Yao Liu, Julian J. McAuley, Lina Yao |
| 2025 | NAACL | Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes. | 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 | NAACL | Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering. | Yeonjun In, Sungchul Kim, Ryan A. Rossi, Md. Mehrab Tanjim, Tong Yu, Ritwik Sinha, Chanyoung Park |
| 2025 | NAACL | Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey. | 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 | NAACL | Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval. | Yu Xia, Junda Wu, Sungchul Kim, Tong Yu, Ryan A. Rossi, Haoliang Wang, Julian J. McAuley |
| 2025 | OSDI | Extending Applications Safely and Efficiently. | Yusheng Zheng, Tong Yu, Yiwei Yang, Yanpeng Hu, Xiaozheng Lai, Dan Williams, Andi Quinn |
| 2025 | RANLP | A Framework for Fine-Tuning LLMs Using Heterogeneous Feedback. | Ryan Aponte, Ryan A. Rossi, Shunan Guo, Franck Dernoncourt, Tong Yu, Xiang Chen, Subrata Mitra, Nedim Lipka |
| 2025 | RANLP | A Survey on Small Language Models. | 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 | RANLP | Multi-LLM Debiasing Framework. | Deonna M. Owens, Ryan A. Rossi, Sungchul Kim, Tong Yu, Franck Dernoncourt, Xiang Chen, Ruiyi Zhang, Jiuxiang Gu, Hanieh Deilamsalehy, Nedim Lipka |
| 2025 | RANLP | FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback. | 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 | RecSys | A Tutorial on Agentic LLM for Recommender Systems. | Chengkai Huang, Junda Wu, Tong Yu, Julian J. McAuley, Lina Yao |
| 2025 | WWW | Interactive Visualization Recommendation with Hier-SUCB. | Songwen Hu, Ryan A. Rossi, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Shuai Li |
| 2025 | WWW | Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions. | 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 | WACV | 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 |
| 2024 | ACL | DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention. | Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, Anup B. Rao, Julian J. McAuley |
| 2024 | CHI | SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings. | Ting-Yao Hsu, Chieh-Yang Huang, Shih-Hong Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, C. Lee Giles, Ting-Hao 'Kenneth' Huang |
| 2024 | EACL | Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning. | Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl |
| 2024 | EMNLP | Advancing Vision-Language Models with Adapter Ensemble Strategies. | Yue Bai, Handong Zhao, Zhe Lin, Ajinkya Kale, Jiuxiang Gu, Tong Yu, Sungchul Kim, Yun Fu |
| 2024 | ICASSP | Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification. | Zhehao Zhang, Tong Yu, Handong Zhao, Kaige Xie, Lina Yao, Shuai Li |
| 2024 | ICASSP | Towards Building The Federatedgpt: Federated Instruction Tuning. | Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Tong Yu, Guoyin Wang, Yiran Chen |
| 2024 | ICLR | ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. | Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor S. Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang |
| 2024 | ICML | 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 |
| 2024 | KDD | CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. | Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley |
| 2024 | NAACL | Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. | Zhendong Chu, Ruiyi Zhang, Tong Yu, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Ani Nenkova |
| 2024 | NAACL | Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. | Rui Wang, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Junda Wu, Subrata Mitra, Lina Yao, Ricardo Henao |
| 2024 | NAACL | Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback. | Yu Xia, Tong Yu, Zhankui He, Handong Zhao, Julian J. McAuley, Shuai Li |
| 2024 | NAACL | Hallucination Diversity-Aware Active Learning for Text Summarization. | Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li |
| 2024 | NordiCHI | "If you don't feel guilty, you won't take responsibility" - Co-Speculating on Digital Technologies That Encourage Sustainable Consumption. | Tong Yu, Gzel Shakeri, Marion Koelle |
| 2024 | WWW | Tackling Long-Tail Entities for Temporal Knowledge Graph Completion. | Mehrnoosh Mirtaheri, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Tong Yu, Xiang Chen, Mohammad Rostami |
| 2024 | WWW | Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. | Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li |
| 2024 | TrustCom | SyntaxBridge: Protocol Description Transformer for Enhanced Formal Analysis of Security Protocols. | Liujia Cai, Tong Yu, Yumeng Li, Siqi Lu, Hanjie Dong, Guangying Cai, Guangsong Li, Yongjuan Wang |
| 2024 | WSDM | Interact with the Explanations: Causal Debiased Explainable Recommendation System. | Xu Liu, Tong Yu, Kaige Xie, Junda Wu, Shuai Li |
| 2023 | AAAI | Reinforced Approximate Exploratory Data Analysis. | Shaddy Garg, Subrata Mitra, Tong Yu, Yash Gadhia, Arjun Kashettiwar |
| 2023 | ACL | Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets. | Rui Wang, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Ruiyi Zhang, Subrata Mitra, Ricardo Henao |
| 2023 | ACL | Understanding Demonstration-based Learning from a Causal Perspective. | Ruiyi Zhang, Tong Yu |
| 2023 | CHI | Another Recipe App: A Design Case with Motive Disposition Theory. | Tong Yu |
| 2023 | CVPR | 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 |
| 2023 | HCI | A User Requirement Driven Development Approach for Smart Product-Service System of Elderly Service Robot. | Tianxiong Wang, Wei Yue, Liu Yang, Xian Gao, Tong Yu, Qiang Yu |
| 2023 | ICLR | 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 Musco |
| 2023 | ICLR | ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length. | Ruslan Khalitov, Tong Yu, Lei Cheng, Zhirong Yang |
| 2023 | ISM | GPU-accelerated Lossless Image Compression with Massive Parallelization. | Yu Shen, Gang Wu, Vishy Swaminathan, Haoliang Wang, Stefano Petrangeli, Tong Yu |
| 2023 | ISM | Content-aware Progressive Image Compression and Syncing. | Junda Wu, Haoliang Wang, Tong Yu, Gang Wu, Stefano Petrangeli, Handong Zhao, Sungchul Kim, Viswanathan Swaminathan |
| 2023 | KDD | User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback. | Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Shuai Li |
| 2023 | SIGMOD | Fast Natural Language Based Data Exploration with Samples. | Shubham Agarwal, Gromit Yeuk-Yin Chan, Shaddy Garg, Tong Yu, Subrata Mitra |
| 2022 | AAAI | Text-Based Interactive Recommendation via Offline Reinforcement Learning. | Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin |
| 2022 | AAAI | TiGAN: Text-Based Interactive Image Generation and Manipulation. | Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun |
| 2022 | ACL | Few-Shot Class-Incremental Learning for Named Entity Recognition. | Rui Wang, Tong Yu, Handong Zhao, Sungchul Kim, Subrata Mitra, Ruiyi Zhang, Ricardo Henao |
| 2022 | CIKM | Hierarchical Conversational Preference Elicitation with Bandit Feedback. | Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong |
| 2022 | CVPR | 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 |
| 2022 | CVPR | Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention. | Tong Yu, Ruslan Khalitov, Lei Cheng, Zhirong Yang |
| 2022 | CVPR | 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 |
| 2022 | EMNLP | Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling. | Junda Wu, Rui Wang, Tong Yu, Ruiyi Zhang, Handong Zhao, Shuai Li, Ricardo Henao, Ani Nenkova |
| 2022 | EMNLP | Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations. | Zhihui Xie, Handong Zhao, Tong Yu, Shuai Li |
| 2022 | GECCO | Understanding the cost of fitness evaluation for subset selection: Markov chain analysis of stochastic local search. | Ole Jakob Mengshoel, Eirik Lund Flogard, Tong Yu, Jon Riege |
| 2022 | KDD | External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. | Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu |
| 2022 | RecSys | Bundle MCR: Towards Conversational Bundle Recommendation. | Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley |
| 2022 | WWW | FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding. | Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu, Jing Gao |
| 2022 | WWW | Knowledge-aware Conversational Preference Elicitation with Bandit Feedback. | Canzhe Zhao, Tong Yu, Zhihui Xie, Shuai Li |
| 2022 | SIGIR | Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation. | Junda Wu, Zhihui Xie, Tong Yu, Handong Zhao, Ruiyi Zhang, Shuai Li |
| 2022 | UAI | Federated online clustering of bandits. | Xutong Liu, Haoru Zhao, Tong Yu, Shuai Li, John C. S. Lui |
| 2022 | SENSYS | CIPhy: Causal Intervention with Physical Confounder from IoT Sensor Data for Robust Occupant Information Inference. | Zhizhang Hu, Tong Yu, Ruiyi Zhang, Shijia Pan |
| 2022 | SENSYS | Intelligent heating monitoring method based on infrared image segmentation and target detection: poster abstract. | Dongbo Li, Tong Yu, Yu Yang, Yuze Zhao, Zihan Chen, Jie Liu |
| 2021 | CIKM | Clustering of Conversational Bandits for User Preference Learning and Elicitation. | Junda Wu, Canzhe Zhao, Tong Yu, Jingyang Li, Shuai Li |
| 2021 | GECCO | Stochastic local search for efficient hybrid feature selection. | Ole Jakob Mengshoel, Tong Yu, Jon Riege, Eirik Flogard |
| 2021 | SIGIR | Comparison-based Conversational Recommender System with Relative Bandit Feedback. | Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li |
| 2020 | AAAI | Towards Hands-Free Visual Dialog Interactive Recommendation. | Tong Yu, Yilin Shen, Hongxia Jin |
| 2020 | ACCV | Encode the Unseen: Predictive Video Hashing for Scalable Mid-stream Retrieval. | Tong Yu, Nicolas Padoy |
| 2020 | ECAI | Stochastic Local Search and Machine Learning: From Theory to Applications and Vice Versa. | Ole Jakob Mengshoel, Tong Yu, Ming Zeng |
| 2020 | ICML | Graphical Models Meet Bandits: A Variational Thompson Sampling Approach. | Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel |
| 2020 | MICCAI | Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets. | Chinedu Innocent Nwoye, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Nicolas Padoy |
| 2019 | AISTATS | Scalable Thompson Sampling via Optimal Transport. | Ruiyi Zhang, Zheng Wen, Changyou Chen, Chen Fang, Tong Yu, Lawrence Carin |
| 2019 | KDD | A Visual Dialog Augmented Interactive Recommender System. | Tong Yu, Yilin Shen, Hongxia Jin |
| 2018 | AAAI | Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models. | Bing Liu, Tong Yu, Ian R. Lane, Ole J. Mengshoel |
| 2018 | AAAI | ILPC: Iterative Learning Using Physical Constraints in Real-World Sensing Data. | Tong Yu, Shijia Pan, Susu Xu, Xinlei Chen, Mostafa Mirshekari, Jonathon Fagert, Hae Young Noh, Pei Zhang, Ole J. Mengshoel |
| 2018 | IJCNN | Interpretative Topic Categorization Via Deep Multiple Instance Learning. | Tong Yu, Meng Wang, Yanzhang Lv, Luguo Xue, Jun Liu |
| 2018 | KSEM | APS-PBW: The Analysis and Prediction System of Customer Flow Data Based on WIFI Probes. | Yuanyuan Wu, Shunhua Gu, Tong Yu, Xiaolong Xu |
| 2017 | CIKM | QoS-Aware Scheduling of Heterogeneous Servers for Inference in Deep Neural Networks. | Zhou Fang, Tong Yu, Ole J. Mengshoel, Rajesh K. Gupta |
| 2017 | CLOUD | Mitigating multi-tenant interference on mobile offloading servers: poster abstract. | Zhou Fang, Mulong Luo, Tong Yu, Ole J. Mengshoel, Mani B. Srivastava, Rajesh K. Gupta |
| 2017 | HealthCom | A preliminary study on imbalanced syndrome differentiation of cold and heat. | Qinan Hu, Tong Yu, Ling Zhu, Jinghua Li, Qi Yu, Yueguo Gu |
| 2017 | HealthCom | Research on the construction of knowledge service platform for TCM health preservation. | Tong Yu, Jinghua Li, Qi Yu, Ye Tian, Zongyou Li, Yinghui Wang, Xiaofeng Sun, Lili Xu, Ling Zhu |
| 2017 | HealthCom | Ontology constructing for Chinese medicine knowledge of Beng Lou. | Ling Zhu, Yan Dong, Jinghua Li, Tong Yu, Feng Yang |
| 2016 | IJCAI | Markov Chain Analysis of Noise and Restart in Stochastic Local Search. | Ole J. Mengshoel, Youssef Ahres, Tong Yu |
| 2013 | KDD | Effective string processing and matching for author disambiguation. | 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 | KDD | 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 |
| 2010 | IRI | Linked data based semantic similarity and data mining. | Hao Sheng, Huajun Chen, Tong Yu, Yelei Feng |
| 2009 | IRI | Deriving Similarity Graphs from Open Linked Data on Semantic Web. | Jinhua Mi, Huajun Chen, Bin Lu, Tong Yu, Gang Pan |
| 2009 | IRI | Collaborative Semantic Association Discovery from Linked Data. | Qingzhao Zheng, Huajun Chen, Tong Yu, Gang Pan |
| 2008 | AAAI | 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 |
| 2008 | APSCC | Content-Based Trust Mechanism for E-commerce Systems. | Yu Zhang, Huajun Chen, Xiaohong Jiang, Hao Sheng, Linhua Zhou, Tong Yu |
| 2008 | IRI | Social network mashup: Ontology-based social network integration for statistic learning. | Chunying Zhou, Huajun Chen, Tong Yu |
| 2008 | ICTAI | Learning a Probabilistic Semantic Model from Heterogeneous Social Networks for Relationship Identification. | Chunying Zhou, Huajun Chen, Tong Yu |
| 2008 | WWW | Information retrieval and knowledge discovery on the semantic web of traditional chinese medicine. | Zhaohui Wu, Tong Yu, Huajun Chen, Xiaohong Jiang, Yi Feng, Yuxin Mao, Heng Wang, Jingming Tang, Chunying Zhou |
| 2004 | IGARSS | A new approach to generate the look-up table for aerosol remote sensing on grid platform. | Jiakui Tang, Yong Xue, Yanning Guan, Tong Yu, Linxiang Liang, Yincui Hu, Ying Luo, Guoyin Cai, Jianqin Wang, Shaobo Zhong, Yanguang Wang, Aijun Zhang |
| 2004 | IGARSS | Aerosol Optical Thickness determination by exploiting the synergy of TERRA and AQUA MODIS (SYNTAM). | Jiakui Tang, Yong Xue, Tong Yu, Yanning Guan |