Soft-assigned bag of features tracking. - Zhongyan Qiu; Tong Yu 001; Tongwei Ren; Yan Liu 004; Jia Bei (ICIMCS, 2013)

Effective string processing and matching for author disambiguation. - Wei-Sheng Chin; Yong Zhuang; Yu-Chin Juan; Felix Wu; Hsiao-Yu Tung; Tong Yu 001; Jui-Pin Wang; Cheng-Xia Chang; Chun-Pai Yang; Wei-Cheng Chang; Kuan-Hao Huang; Tzu-Ming Kuo; et al. (J. Mach. Learn. Res., 2014)

Big Data Small Footprint: The Design of A Low-Power Classifier for Detecting Transportation Modes. - Meng-Chieh Yu; Tong Yu 001; Shao-Chen Wang; Chih-Jen Lin; Edward Y. Chang (Proc. VLDB Endow., 2014)

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; et al. (J. Mach. Learn. Res., 2015)

Soft-assigned bag of features for object tracking. - Tongwei Ren; Zhongyan Qiu; Yan Liu 004; Tong Yu 001; Jia Bei (Multim. Syst., 2015)

Incremental learning for matrix factorization in recommender systems. - Tong Yu 001; Ole J. Mengshoel; Alvin Jude; Eugen Feller; Julien Forgeat; Nimish Radia (IEEE BigData, 2016)

Markov Chain Analysis of Noise and Restart in Stochastic Local Search. - Ole J. Mengshoel; Youssef Ahres; Tong Yu 001 (IJCAI, 2016)

Hybridizing Personal and Impersonal Machine Learning Models for Activity Recognition on Mobile Devices. - Tong Yu 001; Yong Zhuang; Ole J. Mengshoel; Osman Yagan (MobiCASE, 2016)

Semi-supervised convolutional neural networks for human activity recognition. - Ming Zeng 009; Tong Yu 001; Xiao Wang 040; Le T. Nguyen; Ole J. Mengshoel; Ian R. Lane (IEEE BigData, 2017)

QoS-Aware Scheduling of Heterogeneous Servers for Inference in Deep Neural Networks. - Zhou Fang; Tong Yu 001; Ole J. Mengshoel; Rajesh K. Gupta 001 (CIKM, 2017)

Mitigating multi-tenant interference on mobile offloading servers: poster abstract. - Zhou Fang; Mulong Luo; Tong Yu 001; Ole J. Mengshoel; Mani B. Srivastava; Rajesh K. Gupta 001 (SoCC, 2017)

Thompson Sampling for Optimizing Stochastic Local Search. - Tong Yu 001; Branislav Kveton; Ole J. Mengshoel (ECML/PKDD (1), 2017)

Towards continuous and passive authentication across mobile devices: an empirical study. - Xiao Wang 040; Tong Yu 001; Ole J. Mengshoel; Patrick Tague (WISEC, 2017)

SpectralFPL: Online Spectral Learning for Single Topic Models. - Tong Yu 001; Branislav Kveton; Zheng Wen; Hung Bui 001; Ole J. Mengshoel (CoRR, 2017)

FootprintID: Indoor Pedestrian Identification through Ambient Structural Vibration Sensing. - Shijia Pan; Tong Yu 001; Mostafa Mirshekari; Jonathon Fagert; Amelie Bonde; Ole J. Mengshoel; Hae Young Noh; Pei Zhang 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

XRec: Behavior-Based User Recognition Across Mobile Devices. - Xiao Wang 040; Tong Yu 001; Ming Zeng 009; Patrick Tague (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models. - Bing Liu 024; Tong Yu 001; Ian R. Lane; Ole J. Mengshoel (AAAI, 2018)

ILPC: Iterative Learning Using Physical Constraints in Real-World Sensing Data. - Tong Yu 001; Shijia Pan; Susu Xu; Xinlei Chen; Mostafa Mirshekari; Jonathon Fagert; Hae Young Noh; Pei Zhang 001; Ole J. Mengshoel (AAAI Workshops, 2018)

Mitigating Multi-tenant Interference in Continuous Mobile Offloading. - Zhou Fang; Mulong Luo; Tong Yu 001; Ole J. Mengshoel; Mani B. Srivastava; Rajesh K. Gupta 001 (CLOUD, 2018)

Privacy Partition: A Privacy-Preserving Framework for Deep Neural Networks in Edge Networks. - Jianfeng Chi; Emmanuel Owusu; Xuwang Yin; Tong Yu 001; William Chan; Yiming Liu; Haodong Liu; Jiasen Chen; Swee Sim; Vibha Iyengar; Patrick Tague; Yuan Tian 001 (SEC, 2018)

Understanding and improving recurrent networks for human activity recognition by continuous attention. - Ming Zeng 009; Haoxiang Gao; Tong Yu 001; Ole J. Mengshoel; Helge Langseth; Ian R. Lane; Xiaobing Liu (UbiComp, 2018)

Improving Bag-Of-Words: Capturing Local Information for Motion-Based Activity Recognition. - Ming Zeng 009; Tong Yu 001; Ole J. Mengshoel; Helen Qin; Chris Lee; John Paul Shen (UbiComp/ISWC Adjunct, 2018)

SpectralLeader: Online Spectral Learning for Single Topic Models. - Tong Yu 001; Branislav Kveton; Zheng Wen; Hung Bui 001; Ole J. Mengshoel (ECML/PKDD (2), 2018)

Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase. - Jianfeng Chi; Emmanuel Owusu; Xuwang Yin; Tong Yu 001; William Chan; Patrick Tague; Yuan Tian 001 (CoRR, 2018)

Scalable Thompson Sampling via Optimal Transport. - Ruiyi Zhang 002; Zheng Wen; Changyou Chen; Chen Fang; Tong Yu 001; Lawrence Carin (AISTATS, 2019)

Neural caption generation over figures. - Charles Chen; Ruiyi Zhang 002; Sungchul Kim; Scott Cohen; Tong Yu 001; Ryan A. Rossi; Razvan C. Bunescu (UbiComp/ISWC Adjunct, 2019)

CML-IOT 2019: the first workshop on continual and multimodal learning for internet of things. - Tong Yu 001; Shijia Pan; Susu Xu; Yilin Shen; Botao Hao (UbiComp/ISWC Adjunct, 2019)

A Visual Dialog Augmented Interactive Recommender System. - Tong Yu 001; Yilin Shen; Hongxia Jin (KDD, 2019)

Vision-Language Recommendation via Attribute Augmented Multimodal Reinforcement Learning. - Tong Yu 001; Yilin Shen; Ruiyi Zhang 002; Xiangyu Zeng 003; Hongxia Jin (ACM Multimedia, 2019)

Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning. - Ruiyi Zhang 002; Tong Yu 001; Yilin Shen; Hongxia Jin; Changyou Chen (NeurIPS, 2019)

Figure Captioning with Reasoning and Sequence-Level Training. - Charles Chen; Ruiyi Zhang 002; Eunyee Koh; Sungchul Kim; Scott Cohen; Tong Yu 001; Ryan A. Rossi; Razvan C. Bunescu (CoRR, 2019)

Towards Hands-Free Visual Dialog Interactive Recommendation. - Tong Yu 001; Yilin Shen; Hongxia Jin (AAAI, 2020)

Stochastic Local Search and Machine Learning: From Theory to Applications and Vice Versa. - Ole Jakob Mengshoel; Tong Yu 001; Ming Zeng 009 (ECAI, 2020)

Fine-grained activities recognition with coarse-grained labeled multi-modal data. - Zhizhang Hu; Tong Yu 001; Yue Zhang 044; Shijia Pan (UbiComp/ISWC Adjunct, 2020)

CML-IOT 2020: the second workshop on continual and multimodal learning for internet of things. - Susu Xu; Shijia Pan; Tong Yu 001 (UbiComp/ISWC Adjunct, 2020)

Graphical Models Meet Bandits: A Variational Thompson Sampling Approach. - Tong Yu 001; Branislav Kveton; Zheng Wen; Ruiyi Zhang 002; Ole J. Mengshoel (ICML, 2020)

Reward Constrained Interactive Recommendation with Natural Language Feedback. - Ruiyi Zhang 002; Tong Yu 001; Yilin Shen; Hongxia Jin; Changyou Chen; Lawrence Carin (CoRR, 2020)

Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems. - Tong Yu 001; Branislav Kveton; Zheng Wen; Ruiyi Zhang 002; Ole J. Mengshoel (CoRR, 2020)

Clustering of Conversational Bandits for User Preference Learning and Elicitation. - Junda Wu; Canzhe Zhao; Tong Yu 001; Jingyang Li; Shuai Li 010 (CIKM, 2021)

Stochastic local search for efficient hybrid feature selection. - Ole Jakob Mengshoel; Tong Yu 001; Jon Riege; Eirik Flogard (GECCO Companion, 2021)

Deconfounded and Explainable Interactive Vision-Language Retrieval of Complex Scenes. - Junda Wu; Tong Yu 001; Shuai Li 010 (ACM Multimedia, 2021)

Comparison-based Conversational Recommender System with Relative Bandit Feedback. - Zhihui Xie 002; Tong Yu 001; Canzhe Zhao; Shuai Li 010 (SIGIR, 2021)

LAFITE: Towards Language-Free Training for Text-to-Image Generation. - Yufan Zhou 001; Ruiyi Zhang 002; Changyou Chen; Chunyuan Li; Chris Tensmeyer; Tong Yu 001; Jiuxiang Gu; Jinhui Xu 001; Tong Sun 005 (CoRR, 2021)

Text-Based Interactive Recommendation via Offline Reinforcement Learning. - Ruiyi Zhang 002; Tong Yu 001; Yilin Shen; Hongxia Jin (AAAI, 2022)

TiGAN: Text-Based Interactive Image Generation and Manipulation. - Yufan Zhou 001; Ruiyi Zhang 002; Jiuxiang Gu; Chris Tensmeyer; Tong Yu 001; Changyou Chen; Jinhui Xu 001; Tong Sun 005 (AAAI, 2022)

Few-Shot Class-Incremental Learning for Named Entity Recognition. - Rui Wang 088; Tong Yu 001; Handong Zhao; Sungchul Kim; Subrata Mitra; Ruiyi Zhang 002; Ricardo Henao (ACL (1), 2022)

Hierarchical Conversational Preference Elicitation with Bandit Feedback. - Jinhang Zuo; Songwen Hu; Tong Yu 001; Shuai Li 010; Handong Zhao; Carlee Joe-Wong (CIKM, 2022)

EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval. - Haoyu Ma; Handong Zhao; Zhe Lin 001; Ajinkya Kale; Zhangyang Wang; Tong Yu 001; Jiuxiang Gu; Sunav Choudhary; Xiaohui Xie (CVPR, 2022)

Towards Language-Free Training for Text-to-Image Generation. - Yufan Zhou 001; Ruiyi Zhang 002; Changyou Chen; Chunyuan Li; Chris Tensmeyer; Tong Yu 001; Jiuxiang Gu; Jinhui Xu 001; Tong Sun 005 (CVPR, 2022)

Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling. - Junda Wu; Rui Wang 088; Tong Yu 001; Ruiyi Zhang 002; Handong Zhao; Shuai Li 010; Ricardo Henao; Ani Nenkova (EMNLP (Findings), 2022)

Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations. - Zhihui Xie 002; Handong Zhao; Tong Yu 001; Shuai Li 010 (EMNLP, 2022)

Understanding the cost of fitness evaluation for subset selection: Markov chain analysis of stochastic local search. - Ole Jakob Mengshoel; Eirik Lund Flogard; Tong Yu 001; Jon Riege (GECCO, 2022)

VMA: Domain Variance- and Modality-Aware Model Transfer for Fine-Grained Occupant Activity Recognition. - Zhizhang Hu; Yue Zhang 044; Tong Yu 001; Shijia Pan (IPSN, 2022)

External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. - Can Qin; Sungchul Kim; Handong Zhao; Tong Yu 001; Ryan A. Rossi; Yun Fu 001 (KDD, 2022)

Spatial-Temporal Aligned Multi-Agent Learning for Visual Dialog Systems. - Yong Zhuang; Tong Yu 001; Junda Wu; Shiqu Wu; Shuai Li 010 (ACM Multimedia, 2022)

Bundle MCR: Towards Conversational Bundle Recommendation. - Zhankui He; Handong Zhao; Tong Yu 001; Sungchul Kim; Fan Du; Julian J. McAuley (RecSys, 2022)

CIPhy: Causal Intervention with Physical Confounder from IoT Sensor Data for Robust Occupant Information Inference. - Zhizhang Hu; Tong Yu 001; Ruiyi Zhang 002; Shijia Pan (SenSys, 2022)

Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation. - Junda Wu; Zhihui Xie 002; Tong Yu 001; Handong Zhao; Ruiyi Zhang 002; Shuai Li 010 (SIGIR, 2022)

Federated online clustering of bandits. - Xutong Liu 002; Haoru Zhao; Tong Yu 001; Shuai Li 010; John C. S. Lui (UAI, 2022)

FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding. - Haoyu Wang 004; Handong Zhao; Yaqing Wang 001; Tong Yu 001; Jiuxiang Gu; Jing Gao 004 (WWW, 2022)

Knowledge-aware Conversational Preference Elicitation with Bandit Feedback. - Canzhe Zhao; Tong Yu 001; Zhihui Xie 002; Shuai Li 010 (WWW, 2022)

Reinforced Approximate Exploratory Data Analysis. - Shaddy Garg; Subrata Mitra; Tong Yu 001; Yash Gadhia; Arjun Kashettiwar (AAAI, 2023)

Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets. - Rui Wang 088; Tong Yu 001; Junda Wu; Handong Zhao; Sungchul Kim; Ruiyi Zhang 002; Subrata Mitra; Ricardo Henao (ACL (Findings), 2023)

Understanding Demonstration-based Learning from a Causal Perspective. - Ruiyi Zhang 002; Tong Yu 001 (ACL (2), 2023)

Interpretable Unsupervised Log Anomaly Detection. - Jaeho Bang; Sungchul Kim; Ryan A. Rossi; Tong Yu 001; Handong Zhao (IEEE Big Data, 2023)

Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. - Qiucheng Wu; Yujian Liu; Handong Zhao; Ajinkya Kale; Trung Bui; Tong Yu 001; Zhe Lin 001; Yang Zhang 001; Shiyu Chang (CVPR, 2023)

Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. - Sudhanshu Chanpuriya; Ryan A. Rossi; Sungchul Kim; Tong Yu 001; Jane Hoffswell; Nedim Lipka; Shunan Guo; Cameron Musco (ICLR, 2023)

GPU-accelerated Lossless Image Compression with Massive Parallelization. - Yu Shen; Gang Wu 013; Vishy Swaminathan; Haoliang Wang; Stefano Petrangeli; Tong Yu 001 (ISM, 2023)

Content-aware Progressive Image Compression and Syncing. - Junda Wu; Haoliang Wang; Tong Yu 001; Gang Wu 013; Stefano Petrangeli; Handong Zhao; Sungchul Kim; Viswanathan Swaminathan 001 (ISM, 2023)

User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback. - Yu Xia 007; Junda Wu; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Shuai Li 010 (KDD, 2023)

Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels. - Jian Chen 043; Ruiyi Zhang 002; Tong Yu 001; Rohan Sharma; Zhiqiang Xu; Tong Sun 005; Changyou Chen (NeurIPS, 2023)

Causal Discovery in Semi-Stationary Time Series. - Shanyun Gao; Raghavendra Addanki; Tong Yu 001; Ryan A. Rossi; Murat Kocaoglu (NeurIPS, 2023)

Online Corrupted User Detection and Regret Minimization. - Zhiyong Wang; Jize Xie; Tong Yu 001; Shuai Li 010; John C. S. Lui (NeurIPS, 2023)

InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. - Junda Wu; Tong Yu 001; Rui Wang 088; Zhao Song 002; Ruiyi Zhang 002; Handong Zhao; Chaochao Lu; Shuai Li 010; Ricardo Henao (NeurIPS, 2023)

Fast Natural Language Based Data Exploration with Samples. - Shubham Agarwal 007; Gromit Yeuk-Yin Chan; Shaddy Garg; Tong Yu 001; Subrata Mitra (SIGMOD Conference Companion, 2023)

The Closeness of In-Context Learning and Weight Shifting for Softmax Regression. - Shuai Li 010; Zhao Song 002; Yu Xia 007; Tong Yu 001; Tianyi Zhou 002 (CoRR, 2023)

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer. - Kaige Xie; Tong Yu 001; Haoliang Wang; Junda Wu; Handong Zhao; Ruiyi Zhang 002; Kanak Mahadik; Ani Nenkova; Mark O. Riedl (CoRR, 2023)

FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback. - Ashish Singh; Prateek Agarwal; Zixuan Huang; Arpita Singh; Tong Yu 001; Sungchul Kim; Victor S. Bursztyn; Nikos Vlassis; Ryan A. Rossi (CoRR, 2023)

Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. - Zhendong Chu; Ruiyi Zhang 002; Tong Yu 001; Rajiv Jain; Vlad I. Morariu; Jiuxiang Gu; Ani Nenkova (CoRR, 2023)

Leveraging Graph Diffusion Models for Network Refinement Tasks. - Puja Trivedi; Ryan A. Rossi; David Arbour; Tong Yu 001; Franck Dernoncourt; Sungchul Kim; Nedim Lipka; Namyong Park; Nesreen K. Ahmed; Danai Koutra (CoRR, 2023)

Clustering of conversational bandits with posterior sampling for user preference learning and elicitation. - Qizhi Li; Canzhe Zhao; Tong Yu 001; Junda Wu; Shuai Li 010 (User Model. User Adapt. Interact., 2023)

DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention. - Junda Wu; Tong Yu 001; Xiang Chen; Haoliang Wang; Ryan A. Rossi; Sungchul Kim; Anup B. Rao; Julian J. McAuley (ACL (1), 2024)

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 001; C. Lee Giles; Ting-Hao Kenneth Huang (CHI Extended Abstracts, 2024)

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning. - Kaige Xie; Tong Yu 001; Haoliang Wang; Junda Wu; Handong Zhao; Ruiyi Zhang 002; Kanak Mahadik; Ani Nenkova; Mark O. Riedl (EACL (1), 2024)

Are Large Language Models Capable of Causal Reasoning for Sensing Data Analysis? - Zhizhang Hu; Yue Zhang 044; Ryan A. Rossi; Tong Yu 001; Sungchul Kim; Shijia Pan (EdgeFM@MobiSys, 2024)

Advancing Vision-Language Models with Adapter Ensemble Strategies. - Yue Bai; Handong Zhao; Zhe Lin 001; Ajinkya Kale; Jiuxiang Gu; Tong Yu 001; Sungchul Kim; Yun Fu 001 (EMNLP (Findings), 2024)

Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification. - Zhehao Zhang 001; Tong Yu 001; Handong Zhao; Kaige Xie; Lina Yao 001; Shuai Li 010 (ICASSP, 2024)

Towards Building The Federatedgpt: Federated Instruction Tuning. - Jianyi Zhang; Saeed Vahidian; Martin Kuo; Chunyuan Li; Ruiyi Zhang 002; Tong Yu 001; Guoyin Wang 002; Yiran Chen 001 (ICASSP, 2024)

ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. - Yuchen Zhuang; Xiang Chen; Tong Yu 001; Saayan Mitra; Victor S. Bursztyn; Ryan A. Rossi; Somdeb Sarkhel; Chao Zhang 014 (ICLR, 2024)

Editing Partially Observable Networks via Graph Diffusion Models. - Puja Trivedi; Ryan A. Rossi; David Arbour; Tong Yu 001; Franck Dernoncourt; Sungchul Kim; Nedim Lipka; Namyong Park; Nesreen K. Ahmed; Danai Koutra (ICML, 2024)

CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. - Junda Wu; Cheng-Chun Chang; Tong Yu 001; Zhankui He; Jianing Wang 002; Yupeng Hou; Julian J. McAuley (KDD, 2024)

Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. - Zhendong Chu; Ruiyi Zhang 002; Tong Yu 001; Rajiv Jain; Vlad I. Morariu; Jiuxiang Gu; Ani Nenkova (NAACL-HLT (Findings), 2024)

Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. - Rui Wang 088; Tong Yu 001; Ruiyi Zhang 002; Sungchul Kim; Ryan A. Rossi; Handong Zhao; Junda Wu; Subrata Mitra; Lina Yao 001; Ricardo Henao (NAACL-HLT (Findings), 2024)

Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback. - Yu Xia 007; Tong Yu 001; Zhankui He; Handong Zhao; Julian J. McAuley; Shuai Li 010 (NAACL-HLT, 2024)

Hallucination Diversity-Aware Active Learning for Text Summarization. - Yu Xia 007; Xu Liu; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Anup B. Rao; Tung Mai; Shuai Li 010 (NAACL-HLT, 2024)

Calibrating Reasoning in Language Models with Internal Consistency. - Zhihui Xie 002; Jizhou Guo; Tong Yu 001; Shuai Li 010 (NeurIPS, 2024)

The Closeness of In-Context Learning and Weight Shifting for Softmax Regression. - Shuai Li 010; Zhao Song 002; Yu Xia 007; Tong Yu 001; Tianyi Zhou 001 (NeurIPS, 2024)

Interact with the Explanations: Causal Debiased Explainable Recommendation System. - Xu Liu; Tong Yu 001; Kaige Xie; Junda Wu; Shuai Li 010 (WSDM, 2024)

Tackling Long-Tail Entities for Temporal Knowledge Graph Completion. - Mehrnoosh Mirtaheri; Ryan A. Rossi; Sungchul Kim; Kanak Mahadik; Tong Yu 001; Xiang Chen; Mohammad Rostami (WWW (Companion Volume), 2024)

Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. - Yu Xia 007; Fang Kong 002; Tong Yu 001; Liya Guo; Ryan A. Rossi; Sungchul Kim; Shuai Li 010 (WWW, 2024)

Bias and Fairness in Large Language Models: A Survey. - Isabel O. Gallegos; Ryan A. Rossi; Joe Barrow; Md. Mehrab Tanjim; Sungchul Kim; Franck Dernoncourt; Tong Yu 001; Ruiyi Zhang 002; Nesreen K. Ahmed (Comput. Linguistics, 2024)

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. - Yujian Liu; Jiabao Ji; Tong Yu 001; Ryan A. Rossi; Sungchul Kim; Handong Zhao; Ritwik Sinha; Yang Zhang 001; Shiyu Chang (CoRR, 2024)

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes. - Isabel O. Gallegos; Ryan A. Rossi; Joe Barrow; Md. Mehrab Tanjim; Tong Yu 001; Hanieh Deilamsalehy; Ruiyi Zhang 002; Sungchul Kim; Franck Dernoncourt (CoRR, 2024)

Foundation Models for Recommender Systems: A Survey and New Perspectives. - Chengkai Huang; Tong Yu 001; Kaige Xie; Shuai Zhang 007; Lina Yao 001; Julian J. McAuley (CoRR, 2024)

Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models. - Younghun Lee; Sungchul Kim; Tong Yu 001; Ryan A. Rossi; Xiang Chen (CoRR, 2024)

Uncertainty-aware Distributional Offline Reinforcement Learning. - Xiaocong Chen; Siyu Wang 001; Tong Yu 001; Lina Yao 001 (CoRR, 2024)

Learn When (not) to Trust Language Models: A Privacy-Centric Adaptive Model-Aware Approach. - Chengkai Huang; Rui Wang 088; Kaige Xie; Tong Yu 001; Lina Yao 001 (CoRR, 2024)

ARTIST: Improving the Generation of Text-rich Images by Disentanglement. - Jianyi Zhang; Yufan Zhou 001; Jiuxiang Gu; Curtis Wigington; Tong Yu 001; Yiran Chen 001; Tong Sun 005; Ruiyi Zhang 002 (CoRR, 2024)

Learning to Reduce: Towards Improving Performance of Large Language Models on Structured Data. - Younghun Lee; Sungchul Kim; Ryan A. Rossi; Tong Yu 001; Xiang Chen (CoRR, 2024)

CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models. - Junda Wu; Xintong Li 001; Tong Yu 001; Yu Wang 170; Xiang Chen; Jiuxiang Gu; Lina Yao 001; Jingbo Shang; Julian J. McAuley (CoRR, 2024)

A Framework for Fine-Tuning LLMs using Heterogeneous Feedback. - Ryan Aponte; Ryan A. Rossi; Shunan Guo; Franck Dernoncourt; Tong Yu 001; Xiang Chen; Subrata Mitra; Nedim Lipka (CoRR, 2024)

A Multi-LLM Debiasing Framework. - Deonna M. Owens; Ryan A. Rossi; Sungchul Kim; Tong Yu 001; Franck Dernoncourt; Xiang Chen; Ruiyi Zhang 002; Jiuxiang Gu; Hanieh Deilamsalehy; Nedim Lipka (CoRR, 2024)

Visual Prompting in Multimodal Large Language Models: A Survey. - Junda Wu; Zhehao Zhang 001; Yu Xia 007; Xintong Li 001; Zhaoyang Xia; Aaron Chang; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Ruiyi Zhang 002; Subrata Mitra; Dimitris N. Metaxas; et al. (CoRR, 2024)

Federated Large Language Models: Current Progress and Future Directions. - Yuhang Yao; Jianyi Zhang; Junda Wu; Chengkai Huang; Yu Xia 007; Tong Yu 001; Ruiyi Zhang 002; Sungchul Kim; Ryan A. Rossi; Ang Li 005; Lina Yao 001; Julian J. McAuley; et al. (CoRR, 2024)

VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use. - Zhehao Zhang 001; Ryan A. Rossi; Tong Yu 001; Franck Dernoncourt; Ruiyi Zhang 002; Jiuxiang Gu; Sungchul Kim; Xiang Chen; Zichao Wang 001; Nedim Lipka (CoRR, 2024)

A Survey of Small Language Models. - Chien Van Nguyen; Xuan Shen; Ryan Aponte; Yu Xia 007; Samyadeep Basu; Zhengmian Hu; Jian Chen 043; Mihir Parmar; Sasidhar Kunapuli; Joe Barrow; Junda Wu; Ashish Singh; et al. (CoRR, 2024)

Survey of User Interface Design and Interaction Techniques in Generative AI Applications. - Reuben Luera; Ryan A. Rossi; Alexa F. Siu; Franck Dernoncourt; Tong Yu 001; Sungchul Kim; Ruiyi Zhang 002; Xiang Chen; Hanieh Salehy; Jian Zhao 010; Samyadeep Basu; Puneet Mathur; et al. (CoRR, 2024)

LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding. - Jian Chen 043; Ruiyi Zhang 002; Yufan Zhou 001; Tong Yu 001; Franck Dernoncourt; Jiuxiang Gu; Ryan A. Rossi; Changyou Chen; Tong Sun 005 (CoRR, 2024)

Optimizing Data Delivery: Insights from User Preferences on Visuals, Tables, and Text. - Reuben Luera; Ryan A. Rossi; Franck Dernoncourt; Alexa F. Siu; Sungchul Kim; Tong Yu 001; Ruiyi Zhang 002; Xiang Chen; Nedim Lipka; Zhehao Zhang 001; Seon Gyeom Kim; Tak Yeon Lee (CoRR, 2024)

Personalized Multimodal Large Language Models: A Survey. - Junda Wu; Hanjia Lyu; Yu Xia 007; Zhehao Zhang 001; Joe Barrow; Ishita Kumar; Mehrnoosh Mirtaheri; Hongjie Chen 003; Ryan A. Rossi; Franck Dernoncourt; Tong Yu 001; Ruiyi Zhang 002; et al. (CoRR, 2024)

Numerical Pruning for Efficient Autoregressive Models. - Xuan Shen; Zhao Song 002; Yufa Zhou 001; Bo Chen 029; Jing Liu 001; Ruiyi Zhang 002; Ryan A. Rossi; Hao Tan 002; Tong Yu 001; Xiang Chen; Yufan Zhou 001; Tong Sun 005; et al. (CoRR, 2024)

GUI Agents: A Survey. - Dang Nguyen; Jian Chen 043; Yu Wang 160; Gang Wu 013; Namyong Park; Zhengmian Hu; Hanjia Lyu; Junda Wu; Ryan Aponte; Yu Xia 007; Xintong Li 001; Jing Shi 005; et al. (CoRR, 2024)

Customizing graph neural networks using path reweighting. - Jianpeng Chen; Yujing Wang; Ming Zeng 009; Zongyi Xiang; Bitan Hou; Tong Yu 001; Ole J. Mengshoel; Yazhou Ren 001 (Inf. Sci., 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 001; Handong Zhao (J. Mach. Learn. Res., 2024)

Fairness-Aware Graph Neural Networks: A Survey. - April Chen; Ryan A. Rossi; Namyong Park; Puja Trivedi; Yu Wang 160; Tong Yu 001; Sungchul Kim; Franck Dernoncourt; Nesreen K. Ahmed (ACM Trans. Knowl. Discov. Data, 2024)

Toward joint utilization of absolute and relative bandit feedback for conversational recommendation. - Yu Xia 007; Zhihui Xie 002; Tong Yu 001; Canzhe Zhao; Shuai Li 010 (User Model. User Adapt. Interact., 2024)

Online Learning and Detecting Corrupted Users for Conversational Recommendation Systems. - Xiangxiang Dai; Zhiyong Wang; Jize Xie; Tong Yu 001; John C. S. Lui (IEEE Trans. Knowl. Data Eng., 2024)

Numerical Pruning for Efficient Autoregressive Models. - Xuan Shen; Zhao Song 002; Yufa Zhou 001; Bo Chen 029; Jing Liu 001; Ruiyi Zhang 002; Ryan A. Rossi; Hao Tan 005; Tong Yu 001; Xiang Chen; Yufan Zhou 001; Tong Sun 005; et al. (AAAI, 2025)

GUI Agents: A Survey. - Dang Nguyen; Jian Chen 043; Yu Wang 160; Gang Wu 013; Namyong Park; Zhengmian Hu; Hanjia Lyu; Junda Wu; Ryan Aponte; Yu Xia 007; Xintong Li 001; Jing Shi 005; et al. (ACL (Findings), 2025)

From Selection to Generation: A Survey of LLM-based Active Learning. - Yu Xia 007; Subhojyoti Mukherjee; Zhouhang Xie; Junda Wu; Xintong Li 001; Ryan Aponte; Hanjia Lyu; Joe Barrow; Hongjie Chen 003; Franck Dernoncourt; Branislav Kveton; Tong Yu 001; et al. (ACL (1), 2025)

Causal Discovery-Driven Change Point Detection in Time Series. - Shanyun Gao; Raghavendra Addanki; Tong Yu 001; Ryan A. Rossi; Murat Kocaoglu (AISTATS, 2025)

Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models. - Chengkai Huang; Yu Xia 007; Rui Wang 088; Kaige Xie; Tong Yu 001; Julian J. McAuley; Lina Yao 001 (COLING, 2025)

Federated Retrieval Augmented Generation for Multi-Product Question Answering. - Parshin Shojaee; Sai Sree Harsha; Dan Luo; Akash Maharaj; Tong Yu 001; Yunyao Li 001 (COLING (Industry), 2025)

Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs. - Yu Xia 007; Rui Wang 088; Xu Liu; Mingyan Li; Tong Yu 001; Xiang Chen; Julian J. McAuley; Shuai Li 010 (COLING, 2025)

SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding. - Jian Chen 043; Ruiyi Zhang 002; Yufan Zhou 001; Tong Yu 001; Franck Dernoncourt; Jiuxiang Gu; Ryan A. Rossi; Changyou Chen; Tong Sun 005 (ICLR, 2025)

OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models. - Junda Wu; Xintong Li 001; Ruoyu Wang 038; Yu Xia 007; Yuxin Xiong; Jianing Wang 002; Tong Yu 001; Xiang Chen; Branislav Kveton; Lina Yao 001; Jingbo Shang; Julian J. McAuley (ICLR, 2025)

Adaptive Offline Data Replay in Offline-to-Online Reinforcement Learning. - Xu Liu; Tong Yu 001; Shuai Li 010 (AAMAS, 2025)

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 001; Hanieh Deilamsalehy; Ruiyi Zhang 002; Sungchul Kim; Franck Dernoncourt; Nedim Lipka; Deonna M. Owens; et al. (NAACL (Short Papers), 2025)

Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering. - Yeonjun In; Sungchul Kim; Ryan A. Rossi; Md. Mehrab Tanjim; Tong Yu 001; Ritwik Sinha; Chanyoung Park 001 (NAACL (Long Papers), 2025)

Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey. - Xiaoyu Liu 003; Paiheng Xu; Junda Wu; Jiaxin Yuan; Yifan Yang 006; Yuhang Zhou; Fuxiao Liu; Tianrui Guan; Haoliang Wang; Tong Yu 001; Julian J. McAuley; Wei Ai 002; et al. (NAACL (Findings), 2025)

Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval. - Yu Xia 007; Junda Wu; Sungchul Kim; Tong Yu 001; Ryan A. Rossi; Haoliang Wang; Julian J. McAuley (NAACL (Long Papers), 2025)

ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models. - Jianyi Zhang; Yufan Zhou 001; Jiuxiang Gu; Curtis Wigington; Tong Yu 001; Yiran Chen 001; Tong Sun 005; Ruiyi Zhang 002 (WACV, 2025)

Interactive Visualization Recommendation with Hier-SUCB. - Songwen Hu; Ryan A. Rossi; Tong Yu 001; Junda Wu; Handong Zhao; Sungchul Kim; Shuai Li 010 (WWW, 2025)

Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions. - Reuben Luera; Ryan A. Rossi; Franck Dernoncourt; Alexa F. Siu; Sungchul Kim; Tong Yu 001; Ruiyi Zhang 002; Xiang Chen; Nedim Lipka; Zhehao Zhang 001; Seon Gyeom Kim; Tak Yeon Lee (WWW (Companion Volume), 2025)

CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement. - Leitian Tao; Xiang Chen; Tong Yu 001; Tung Mai; Ryan A. Rossi; Yixuan Li 001; Saayan Mitra (Trans. Mach. Learn. Res., 2025)

Personalization of Large Language Models: A Survey. - Zhehao Zhang 001; Ryan A. Rossi; Branislav Kveton; Yijia Shao; Diyi Yang; Hamed Zamani; Franck Dernoncourt; Joe Barrow; Tong Yu 001; Sungchul Kim; Ruiyi Zhang 002; Jiuxiang Gu; et al. (Trans. Mach. Learn. Res., 2025)

Multi-LLM Collaborative Caption Generation in Scientific Documents. - Jaeyoung Kim; Jongho Lee; Hong-Jun Choi; Ting-Yao Hsu; Chieh-Yang Huang; Sungchul Kim; Ryan A. Rossi; Tong Yu 001; Clyde Lee Giles; Ting-Hao (Kenneth) Huang; Sungchul Choi (CoRR, 2025)

Understanding How Paper Writers Use AI-Generated Captions in Figure Caption Writing. - Ho Yin Ng; Ting-Yao Hsu; Jiyoo Min; Sungchul Kim; Ryan A. Rossi; Tong Yu 001; Hyunggu Jung; Ting-Hao Kenneth Huang (CoRR, 2025)

Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SCICAP Challenge 2023. - Ting-Yao Hsu; Yi-Li Hsu; Shaurya Rohatgi; Chieh-Yang Huang; Ho Yin Sam Ng; Ryan A. Rossi; Sungchul Kim; Tong Yu 001; Lun-Wei Ku; C. Lee Giles; Ting-Hao K. Huang (CoRR, 2025)

Pandora with Inaccurate Priors. - Kiarash Banihashem; Xiang Chen; MohammadTaghi Hajiaghayi; Sungchul Kim; Kanak Mahadik; Ryan A. Rossi; Tong Yu 001 (CoRR, 2025)

Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent. - Junda Wu; Yuxin Xiong; Xintong Li 001; Yu Xia 007; Ruoyu Wang 038; Yu Wang 160; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Lina Yao 001; Jingbo Shang; Julian J. McAuley (CoRR, 2025)

From Documents to Dialogue: Building KG-RAG Enhanced AI Assistants. - Manisha Mukherjee; Sungchul Kim; Xiang Chen; Dan Luo; Tong Yu 001; Tung Mai (CoRR, 2025)

Exploring Rewriting Approaches for Different Conversational Tasks. - Md. Mehrab Tanjim; Ryan A. Rossi; Mike Rimer; Xiang Chen; Sungchul Kim; Vaishnavi Muppala; Tong Yu 001; Zhengmian Hu; Ritwik Sinha; Wei Zhang; Iftikhar Ahamath Burhanuddin; Franck Dernoncourt (CoRR, 2025)

Active Learning for Direct Preference Optimization. - Branislav Kveton; Xintong Li 001; Julian J. McAuley; Ryan A. Rossi; Jingbo Shang; Junda Wu; Tong Yu 001 (CoRR, 2025)

Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models. - Chengkai Huang; Junda Wu; Yu Xia 007; Zixu Yu; Ruhan Wang; Tong Yu 001; Ruiyi Zhang 002; Ryan A. Rossi; Branislav Kveton; Dongruo Zhou; Julian J. McAuley; Lina Yao 001 (CoRR, 2025)

Get the Agents Drunk: Memory Perturbations in Autonomous Agent-based Recommender Systems. - Shiyi Yang 001; Zhibo Hu; Chen Wang 008; Tong Yu 001; Xiwei Xu 001; Liming Zhu 001; Lina Yao 001 (CoRR, 2025)

WaterFlow: Learning Fast & Robust Watermarks using Stable Diffusion. - Vinay Shukla; Prachee Sharma; Ryan A. Rossi; Sungchul Kim; Tong Yu 001; Aditya Grover (CoRR, 2025)

In-context Ranking Preference Optimization. - Junda Wu; Rohan Surana; Zhouhang Xie; Yiran Shen 004; Yu Xia 007; Tong Yu 001; Ryan A. Rossi; Prithviraj Ammanabrolu; Julian J. McAuley (CoRR, 2025)

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms. - Chengkai Huang; Hongtao Huang; Tong Yu 001; Kaige Xie; Junda Wu; Shuai Zhang 007; Julian J. McAuley; Dietmar Jannach; Lina Yao 001 (CoRR, 2025)

Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs. - Paiheng Xu; Gang Wu 013; Xiang Chen; Tong Yu 001; Chang Xiao; Franck Dernoncourt; Tianyi Zhou 001; Wei Ai 002; Viswanathan (Vishy) Swaminathan (CoRR, 2025)

CachePrune: Neural-Based Attribution Defense Against Indirect Prompt Injection Attacks. - Rui Wang 088; Junda Wu; Yu Xia 007; Tong Yu 001; Ruiyi Zhang 002; Ryan A. Rossi; Lina Yao 001; Julian J. McAuley (CoRR, 2025)

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. - Li Li 006; Peilin Cai; Ryan A. Rossi; Franck Dernoncourt; Branislav Kveton; Junda Wu; Tong Yu 001; Linxin Song; Tiankai Yang 001; Yuehan Qin; Nesreen K. Ahmed; Samyadeep Basu; et al. (CoRR, 2025)

LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles. - Ho Yin Sam Ng; Ting-Yao Hsu; Aashish Anantha Ramakrishnan; Branislav Kveton; Nedim Lipka; Franck Dernoncourt; Dongwon Lee 001; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Ting-Hao Kenneth Huang (CoRR, 2025)

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality. - Ruhan Wang; Zhiyong Wang; Chengkai Huang; Rui Wang; Tong Yu 001; Lina Yao 001; John C. S. Lui; Dongruo Zhou (CoRR, 2025)

Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation. - Ruoyu Wang 038; Tong Yu 001; Junda Wu; Yao Liu 017; Julian J. McAuley; Lina Yao 001 (CoRR, 2025)

Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation. - Shubham Agarwal 007; Sai Sundaresan; Subrata Mitra; Debabrata Mahapatra; Archit Gupta; Rounak Sharma; Nirmal Joshua Kapu; Tong Yu 001; Shiv Kumar Saini (Proc. ACM Manag. Data, 2025)

SAND: Boosting LLM Agents with Self-Taught Action Deliberation. - Yu Xia 007; Yiran Shen 004; Junda Wu; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Lina Yao 001; Julian J. McAuley (CoRR, 2025)

CTRLS: Chain-of-Thought Reasoning via Latent State-Transition. - Junda Wu; Yuxin Xiong; Xintong Li 001; Zhengmian Hu; Tong Yu 001; Rui Wang 088; Xiang Chen; Jingbo Shang; Julian J. McAuley (CoRR, 2025)

Towards Improving Long-Tail Entity Predictions in Temporal Knowledge Graphs through Global Similarity and Weighted Sampling. - Mehrnoosh Mirtaheri; Ryan A. Rossi; Sungchul Kim; Kanak Mahadik; Tong Yu 001; Xiang Chen; Mohammad Rostami (CoRR, 2025)

DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer. - Ruoyu Wang 038; Junda Wu; Yu Xia 007; Tong Yu 001; Ryan A. Rossi; Julian J. McAuley; Lina Yao 001 (CoRR, 2025)

VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding. - Jian Chen 043; Ming Li; Jihyung Kil; Chenguang Wang; Tong Yu 001; Ryan A. Rossi; Tianyi Zhou 001; Changyou Chen; Ruiyi Zhang 002 (CoRR, 2025)