Tong Yu

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 117

Top Venues

Publications

Zhizhang Hu, Yue Zhang, Ryan A. Rossi, Tong Yu, Sungchul Kim, Shijia Pan
Are Large Language Models Capable of Causal Reasoning for Sensing Data Analysis? EdgeFM@MobiSys (2024)
Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning. EACL (1) (2024)
Jianpeng Chen, Yujing Wang, Ming Zeng, Zongyi Xiang, Bitan Hou, Tong Yu, Ole J. Mengshoel, Yazhou Ren
Customizing graph neural networks using path reweighting. Inf. Sci. 674 (2024)
Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. CoRR (2024)
Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang
Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. CoRR (2024)
Zhehao Zhang, Tong Yu, Handong Zhao, Kaige Xie, Lina Yao, Shuai Li
Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification. ICASSP (2024)
Chengkai Huang, Tong Yu, Kaige Xie, Shuai Zhang, Lina Yao, Julian J. McAuley
Foundation Models for Recommender Systems: A Survey and New Perspectives. CoRR (2024)
Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. ICLR (2024)
Yu Xia, Rui Wang, Xu Liu, Mingyan Li, Tong Yu, Xiang Chen, Julian J. McAuley, Shuai Li
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs. CoRR (2024)
Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li
Hallucination Diversity-Aware Active Learning for Text Summarization. CoRR (2024)
Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Tong Yu, Hanieh Deilamsalehy, Ruiyi Zhang, Sungchul Kim, Franck Dernoncourt
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes. CoRR (2024)
Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. CoRR (2024)
Yu Xia, Tong Yu, Zhankui He, Handong Zhao, Julian J. McAuley, Shuai Li
Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback. NAACL-HLT (2024)
April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed
Fairness-Aware Graph Neural Networks: A Survey. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li
Hallucination Diversity-Aware Active Learning for Text Summarization. NAACL-HLT (2024)
Younghun Lee, Sungchul Kim, Ryan A. Rossi, Tong Yu, Xiang Chen
Learning to Reduce: Towards Improving Performance of Large Language Models on Structured Data. CoRR (2024)
Mehrnoosh Mirtaheri, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Tong Yu, Xiang Chen, Mohammad Rostami
Tackling Long-Tail Entities for Temporal Knowledge Graph Completion. WWW (Companion Volume) (2024)
Xu Liu, Tong Yu, Kaige Xie, Junda Wu, Shuai Li
Interact with the Explanations: Causal Debiased Explainable Recommendation System. WSDM (2024)
Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu
Causal Discovery in Semi-Stationary Time Series. CoRR (2024)
Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu
Causal Discovery-Driven Change Point Detection in Time Series. CoRR (2024)
Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, Anup B. Rao, Julian J. McAuley
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention. ACL (1) (2024)
Chengkai Huang, Rui Wang, Kaige Xie, Tong Yu, Lina Yao
Learn When (not) to Trust Language Models: A Privacy-Centric Adaptive Model-Aware Approach. CoRR (2024)
Jianyi Zhang, Yufan Zhou, Jiuxiang Gu, Curtis Wigington, Tong Yu, Yiran Chen, Tong Sun, Ruiyi Zhang
ARTIST: Improving the Generation of Text-rich Images by Disentanglement. CoRR (2024)
Junda Wu, Xintong Li, Tong Yu, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Jingbo Shang, Julian J. McAuley
CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models. CoRR (2024)
Ting-Yao Hsu, Chieh-Yang Huang, Shih-Hong Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, C. Lee Giles, Ting-Hao Kenneth Huang
SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings. CHI Extended Abstracts (2024)
Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. WWW (2024)
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
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey. CoRR (2024)
Younghun Lee, Sungchul Kim, Tong Yu, Ryan A. Rossi, Xiang Chen
Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models. CoRR (2024)
Ting-Yao Hsu, Chieh-Yang Huang, Shih-Hong Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, C. Lee Giles, Ting-Hao K. Huang
SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings. CoRR (2024)
Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Tong Yu, Guoyin Wang, Yiran Chen
Towards Building The Federatedgpt: Federated Instruction Tuning. ICASSP (2024)
Zhihui Xie, Handong Zhao, Tong Yu, Shuai Li
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations. CoRR (2024)
Zhihui Xie, Jizhou Guo, Tong Yu, Shuai Li
Calibrating Reasoning in Language Models with Internal Consistency. CoRR (2024)
Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. KDD (2024)
Ashish Singh, Prateek Agarwal, Zixuan Huang, Arpita Singh, Tong Yu, Sungchul Kim, Victor Bursztyn, Nikos Vlassis, Ryan A. Rossi
FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback. CoRR (2023)
Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Shuai Li
User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback. KDD (2023)
Shaddy Garg, Subrata Mitra, Tong Yu, Yash Gadhia, Arjun Kashettiwar
Reinforced Approximate Exploratory Data Analysis. AAAI (2023)
Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer. CoRR (2023)
Rui Wang, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Ruiyi Zhang, Subrata Mitra, Ricardo Henao
Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets. ACL (Findings) (2023)
Yu Shen, Gang Wu, Vishy Swaminathan, Haoliang Wang, Stefano Petrangeli, Tong Yu
GPU-accelerated Lossless Image Compression with Massive Parallelization. ISM (2023)
Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. CoRR (2023)
Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. CVPR (2023)
Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. CoRR (2023)
Zhendong Chu, Ruiyi Zhang, Tong Yu, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Ani Nenkova
Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. CoRR (2023)
April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed
Fairness-Aware Graph Neural Networks: A Survey. CoRR (2023)
Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. ICLR (2023)
Shuai Li, Zhao Song, Yu Xia, Tong Yu, Tianyi Zhou
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression. CoRR (2023)
Rashmi Ranjan Bhuyan, Adel Javanmard, Sungchul Kim, Gourab Mukherjee, Ryan A. Rossi, Tong Yu, Handong Zhao
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model. CoRR (2023)
Jaeho Bang, Sungchul Kim, Ryan A. Rossi, Tong Yu, Handong Zhao
Interpretable Unsupervised Log Anomaly Detection. BigData (2023)
Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra
Leveraging Graph Diffusion Models for Network Refinement Tasks. CoRR (2023)
Ruiyi Zhang, Tong Yu
Understanding Demonstration-based Learning from a Causal Perspective. ACL (2) (2023)
Shubham Agarwal, Gromit Yeuk-Yin Chan, Shaddy Garg, Tong Yu, Subrata Mitra
Fast Natural Language Based Data Exploration with Samples. SIGMOD Conference Companion (2023)
Junda Wu, Haoliang Wang, Tong Yu, Gang Wu, Stefano Petrangeli, Handong Zhao, Sungchul Kim, Viswanathan Swaminathan
Content-aware Progressive Image Compression and Syncing. ISM (2023)
Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Nesreen K. Ahmed
Bias and Fairness in Large Language Models: A Survey. CoRR (2023)
Qizhi Li, Canzhe Zhao, Tong Yu, Junda Wu, Shuai Li
Clustering of conversational bandits with posterior sampling for user preference learning and elicitation. User Model. User Adapt. Interact. 33 (5) (2023)
Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu
External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. KDD (2022)
Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li
Comparison-based Conversational Recommender System with Relative Bandit Feedback. CoRR (2022)
Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun
Towards Language-Free Training for Text-to-Image Generation. CVPR (2022)
Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong
Hierarchical Conversational Preference Elicitation with Bandit Feedback. CoRR (2022)
Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin
Text-Based Interactive Recommendation via Offline Reinforcement Learning. AAAI (2022)
Zhizhang Hu, Yue Zhang, Tong Yu, Shijia Pan
VMA: Domain Variance- and Modality-Aware Model Transfer for Fine-Grained Occupant Activity Recognition. IPSN (2022)
Shaddy Garg, Subrata Mitra, Tong Yu, Yash Gadhia, Arjun Kashettiwar
Reinforced Approximate Exploratory Data Analysis. CoRR (2022)
Rui Wang, Tong Yu, Handong Zhao, Sungchul Kim, Subrata Mitra, Ruiyi Zhang, Ricardo Henao
Few-Shot Class-Incremental Learning for Named Entity Recognition. ACL (1) (2022)
Junda Wu, Rui Wang, Tong Yu, Ruiyi Zhang, Handong Zhao, Shuai Li, Ricardo Henao, Ani Nenkova
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling. EMNLP (Findings) (2022)
Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. CoRR (2022)
Ole Jakob Mengshoel, Eirik Lund Flogard, Tong Yu, Jon Riege
Understanding the cost of fitness evaluation for subset selection: Markov chain analysis of stochastic local search. GECCO (2022)
Haoyu Ma, Handong Zhao, Zhe Lin, Ajinkya Kale, Zhangyang Wang, Tong Yu, Jiuxiang Gu, Sunav Choudhary, Xiaohui Xie
EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval. CVPR (2022)
Zhizhang Hu, Tong Yu, Ruiyi Zhang, Shijia Pan
CIPhy: Causal Intervention with Physical Confounder from IoT Sensor Data for Robust Occupant Information Inference. SenSys (2022)
Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. CoRR (2022)
Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu, Jing Gao
FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding. WWW (2022)
Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun
TiGAN: Text-Based Interactive Image Generation and Manipulation. AAAI (2022)
Xutong Liu, Haoru Zhao, Tong Yu, Shuai Li, John C. S. Lui
Federated Online Clustering of Bandits. CoRR (2022)
Canzhe Zhao, Tong Yu, Zhihui Xie, Shuai Li
Knowledge-aware Conversational Preference Elicitation with Bandit Feedback. WWW (2022)
Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong
Hierarchical Conversational Preference Elicitation with Bandit Feedback. CIKM (2022)
Xutong Liu, Haoru Zhao, Tong Yu, Shuai Li, John C. S. Lui
Federated online clustering of bandits. UAI (2022)
Yong Zhuang, Tong Yu, Junda Wu, Shiqu Wu, Shuai Li
Spatial-Temporal Aligned Multi-Agent Learning for Visual Dialog Systems. ACM Multimedia (2022)
Zhihui Xie, Handong Zhao, Tong Yu, Shuai Li
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations. EMNLP (2022)
Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley
Bundle MCR: Towards Conversational Bundle Recommendation. CoRR (2022)
Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley
Bundle MCR: Towards Conversational Bundle Recommendation. RecSys (2022)
Junda Wu, Zhihui Xie, Tong Yu, Handong Zhao, Ruiyi Zhang, Shuai Li
Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation. SIGIR (2022)
Ole Jakob Mengshoel, Tong Yu, Jon Riege, Eirik Flogard
Stochastic local search for efficient hybrid feature selection. GECCO Companion (2021)
Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun
LAFITE: Towards Language-Free Training for Text-to-Image Generation. CoRR (2021)
Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems. CoRR (2020)
Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel
Graphical Models Meet Bandits: A Variational Thompson Sampling Approach. ICML (2020)
Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen, Lawrence Carin
Reward Constrained Interactive Recommendation with Natural Language Feedback. CoRR (2020)
Tong Yu, Yilin Shen, Hongxia Jin
Towards Hands-Free Visual Dialog Interactive Recommendation. AAAI (2020)
Zhizhang Hu, Tong Yu, Yue Zhang, Shijia Pan
Fine-grained activities recognition with coarse-grained labeled multi-modal data. UbiComp/ISWC Adjunct (2020)
Susu Xu, Shijia Pan, Tong Yu
CML-IOT 2020: the second workshop on continual and multimodal learning for internet of things. UbiComp/ISWC Adjunct (2020)
Ole Jakob Mengshoel, Tong Yu, Ming Zeng
Stochastic Local Search and Machine Learning: From Theory to Applications and Vice Versa. ECAI (2020)
Ruiyi Zhang, Zheng Wen, Changyou Chen, Chen Fang, Tong Yu, Lawrence Carin
Scalable Thompson Sampling via Optimal Transport. AISTATS (2019)
Tong Yu, Yilin Shen, Hongxia Jin
A Visual Dialog Augmented Interactive Recommender System. KDD (2019)
Charles Chen, Ruiyi Zhang, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu
Neural caption generation over figures. UbiComp/ISWC Adjunct (2019)
Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen
Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning. NeurIPS (2019)
Tong Yu, Shijia Pan, Susu Xu, Yilin Shen, Botao Hao
CML-IOT 2019: the first workshop on continual and multimodal learning for internet of things. UbiComp/ISWC Adjunct (2019)
Tong Yu, Yilin Shen, Ruiyi Zhang, Xiangyu Zeng, Hongxia Jin
Vision-Language Recommendation via Attribute Augmented Multimodal Reinforcement Learning. ACM Multimedia (2019)
Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu
Figure Captioning with Reasoning and Sequence-Level Training. CoRR (2019)
Ming Zeng, Tong Yu, Xiao Wang, Le T. Nguyen, Ole J. Mengshoel, Ian R. Lane
Semi-Supervised Convolutional Neural Networks for Human Activity Recognition. CoRR (2018)
Zhou Fang, Mulong Luo, Tong Yu, Ole J. Mengshoel, Mani B. Srivastava, Rajesh K. Gupta
Mitigating Multi-tenant Interference in Continuous Mobile Offloading. CLOUD (2018)
Ming Zeng, Haoxiang Gao, Tong Yu, Ole J. Mengshoel, Helge Langseth, Ian R. Lane, Xiaobing Liu
Understanding and improving recurrent networks for human activity recognition by continuous attention. UbiComp (2018)
Ming Zeng, Tong Yu, Ole J. Mengshoel, Helen Qin, Chris Lee, John Paul Shen
Improving Bag-Of-Words: Capturing Local Information for Motion-Based Activity Recognition. UbiComp/ISWC Adjunct (2018)
Jianfeng Chi, Emmanuel Owusu, Xuwang Yin, Tong Yu, William Chan, Patrick Tague, Yuan Tian
Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase. CoRR (2018)

Tong Yu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Tong Yu