A Generative Probabilistic Model for Multi-label Classification. - Hongning Wang; Minlie Huang; Xiaoyan Zhu 001 (ICDM, 2008)

Exploiting and integrating rich features for biological literature classification. - Hongning Wang; Minlie Huang; Shilin Ding; Xiaoyan Zhu 001 (BMC Bioinform., 2008)

Extract interaction detection methods from the biological literature. - Hongning Wang; Minlie Huang; Xiaoyan Zhu 001 (BMC Bioinform., 2009)

Exploiting Structured Ontology to Organize Scattered Online Opinions. - Yue Lu 002; Huizhong Duan; Hongning Wang; ChengXiang Zhai (COLING, 2010)

Latent aspect rating analysis on review text data: a rating regression approach. - Hongning Wang; Yue Lu 002; Chengxiang Zhai (KDD, 2010)

Structural Topic Model for Latent Topical Structure Analysis. - Hongning Wang; Duo Zhang 001; ChengXiang Zhai (ACL, 2011)

Latent aspect rating analysis without aspect keyword supervision. - Hongning Wang; Yue Lu 002; ChengXiang Zhai (KDD, 2011)

Learning online discussion structures by conditional random fields. - Hongning Wang; Chi Wang 001; ChengXiang Zhai; Jiawei Han 001 (SIGIR, 2011)

Unsupervised discovery of opposing opinion networks from forum discussions. - Yue Lu 002; Hongning Wang; ChengXiang Zhai; Dan Roth 001 (CIKM, 2012)

Joint relevance and freshness learning from clickthroughs for news search. - Hongning Wang; Anlei Dong; Lihong Li 001; Yi Chang 001; Evgeniy Gabrilovich (WWW, 2012)

Learning to rank from distant supervision: Exploiting noisy redundancy for relational entity search. - Mianwei Zhou; Hongning Wang; Kevin Chen-Chuan Chang (ICDE, 2013)

On the Detectability of Node Grouping in Networks. - Yuguo Chen; Jiawei Han 001; Ming Ji; Jialu Liu; Lu Su 001; Chi Wang 001; Hongning Wang (SDM, 2013)

Personalized ranking model adaptation for web search. - Hongning Wang; Xiaodong He 001; Ming-Wei Chang; Yang Song 008; Ryen W. White; Wei Chu (SIGIR, 2013)

Exploring and exploiting user search behavior on mobile and tablet devices to improve search relevance. - Yang Song 008; Hao Ma 001; Hongning Wang; Kuansan Wang (WWW, 2013)

Learning to extract cross-session search tasks. - Hongning Wang; Yang Song 008; Ming-Wei Chang; Xiaodong He 001; Ryen W. White; Wei Chu (WWW, 2013)

Content-aware click modeling. - Hongning Wang; ChengXiang Zhai; Anlei Dong; Yi Chang 001 (WWW, 2013)

Enhancing personalized search by mining and modeling task behavior. - Ryen W. White; Wei Chu; Ahmed Hassan Awadallah; Xiaodong He 001; Yang Song 008; Hongning Wang (WWW, 2013)

A two-dimensional click model for query auto-completion. - Yanen Li; Anlei Dong; Hongning Wang; Hongbo Deng; Yi Chang 001; ChengXiang Zhai (SIGIR, 2014)

Modeling action-level satisfaction for search task satisfaction prediction. - Hongning Wang; Yang Song 008; Ming-Wei Chang; Xiaodong He 001; Ahmed Hassan Awadallah; Ryen W. White (SIGIR, 2014)

Adapting deep RankNet for personalized search. - Yang Song 008; Hongning Wang; Xiaodong He 001 (WSDM, 2014)

User modeling in search logs via a nonparametric bayesian approach. - Hongning Wang; ChengXiang Zhai; Feng Liang; Anlei Dong; Yi Chang 001 (WSDM, 2014)

Exploring and inferring user-user pseudo-friendship for sentiment analysis with heterogeneous networks. - Hongbo Deng; Jiawei Han 001; Hao Li 031; Heng Ji 001; Hongning Wang; Yue Lu (Stat. Anal. Data Min., 2014)

Computational user intent modeling - Hongning Wang (2014)

Model Adaptation for Personalized Opinion Analysis. - Mohammad Al Boni; Keira Zhou; Hongning Wang; Matthew S. Gerber (ACL (2), 2015)

Clustering-based Active Learning on Sensor Type Classification in Buildings. - Dezhi Hong; Hongning Wang; Kamin Whitehouse (CIKM, 2015)

The Building Adapter: Towards Quickly Applying Building Analytics at Scale. - Dezhi Hong; Hongning Wang; Jorge Ortiz 001; Kamin Whitehouse (BuildSys, 2015)

Demo: KinVocal: Detecting Agitated Vocal Events. - Asif Salekin; Hongning Wang; John A. Stankovic (SenSys, 2015)

Opinions matter: a general approach to user profile modeling for contextual suggestion. - Peilin Yang; Hongning Wang; Hui Fang 001; Deng Cai 001 (Inf. Retr. J., 2015)

Modeling Social Norms Evolution for Personalized Sentiment Classification. - Lin Gong; Mohammad Al Boni; Hongning Wang (ACL (1), 2016)

Learning Hidden Features for Contextual Bandits. - Huazheng Wang; Qingyun Wu; Hongning Wang (CIKM, 2016)

Topic Model based Privacy Protection in Personalized Web Search. - Wasi Uddin Ahmad; Md. Masudur Rahman 001; Hongning Wang (SIGIR, 2016)

Contextual Bandits in a Collaborative Environment. - Qingyun Wu; Huazheng Wang; Quanquan Gu; Hongning Wang (SIGIR, 2016)

Hidden Topic Sentiment Model. - Md. Mustafizur Rahman; Hongning Wang (WWW, 2016)

DeepMeSH: deep semantic representation for improving large-scale MeSH indexing. - Shengwen Peng; Ronghui You; Hongning Wang; Chengxiang Zhai; Hiroshi Mamitsuka; Shanfeng Zhu (Bioinform., 2016)

Matrix Factorisation for Scalable Energy Breakdown. - Nipun Batra 001; Hongning Wang; Amarjeet Singh 001; Kamin Whitehouse (AAAI, 2017)

Factorization Bandits for Interactive Recommendation. - Huazheng Wang; Qingyun Wu; Hongning Wang (AAAI, 2017)

DAVE: Detecting Agitated Vocal Events. - Asif Salekin; Hongning Wang; Kristine Williams; John A. Stankovic (CHASE, 2017)

Modeling Student Learning Styles in MOOCs. - Yuling Shi; Zhiyong Peng 001; Hongning Wang (CIKM, 2017)

Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems. - Qingyun Wu; Hongning Wang; Liangjie Hong; Yue Shi 002 (CIKM, 2017)

Extracting User-Reported Mobile Application Defects from Online Reviews. - Yue Wang 037; Hongning Wang; Hui Fang 001 (ICDM Workshops, 2017)

Conflict detection in online textual health advice: demo abstract. - Sarah Masud Preum; Md. Abu Sayeed Mondol; Meiyi Ma; Hongning Wang; John A. Stankovic (IPSN, 2017)

Preclude: Conflict detection in textual health advice. - Sarah Masud Preum; Md. Abu Sayeed Mondol; Meiyi Ma; Hongning Wang; John A. Stankovic (PerCom, 2017)

Accounting for the Correspondence in Commented Data. - Renqin Cai; Chi Wang 001; Hongning Wang (SIGIR, 2017)

ReviewMiner: An Aspect-based Review Analytics System. - Derek Wu; Hongning Wang (SIGIR, 2017)

Clustered Model Adaption for Personalized Sentiment Analysis. - Lin Gong; Benjamin Haines; Hongning Wang (WWW, 2017)

Preclude2 : Personalized conflict detection in heterogeneous health applications. - Sarah Masud Preum; Md. Abu Sayeed Mondol; Meiyi Ma; Hongning Wang; John A. Stankovic (Pervasive Mob. Comput., 2017)

Search, Mining, and Their Applications on Mobile Devices: Introduction to the Special Issue. - Hongning Wang; Rui Li 049; Milad Shokouhi; Hang Li 001; Yi Chang 001 (ACM Trans. Inf. Syst., 2017)

Transferring Decomposed Tensors for Scalable Energy Breakdown Across Regions. - Nipun Batra 001; Yiling Jia; Hongning Wang; Kamin Whitehouse (AAAI, 2018)

Modeling Sequential Online Interactive Behaviors with Temporal Point Process. - Renqin Cai; Xueying Bai; Zhenrui Wang; Yuling Shi; Parikshit Sondhi; Hongning Wang (CIKM, 2018)

Multi-Task Learning for Document Ranking and Query Suggestion. - Wasi Uddin Ahmad; Kai-Wei Chang; Hongning Wang (ICLR (Poster), 2018)

When Sentiment Analysis Meets Social Network: A Holistic User Behavior Modeling in Opinionated Data. - Lin Gong; Hongning Wang (KDD, 2018)

A Scalable Solution for Rule-Based Part-of-Speech Tagging on Novel Hardware Accelerators. - Elaheh Sadredini; Deyuan Guo; Chunkun Bo; Reza Rahimi; Kevin Skadron; Hongning Wang (KDD, 2018)

Bandit Learning with Implicit Feedback. - Yi Qi; Qingyun Wu; Hongning Wang; Jie Tang 001; Maosong Sun 001 (NeurIPS, 2018)

Plaster: an integration, benchmark, and development framework for metadata normalization methods. - Jason Koh; Dezhi Hong; Rajesh K. Gupta 001; Kamin Whitehouse; Hongning Wang; Yuvraj Agarwal (BuildSys, 2018)

Intent-aware Query Obfuscation for Privacy Protection in Personalized Web Search. - Wasi Uddin Ahmad; Kai-Wei Chang; Hongning Wang (SIGIR, 2018)

Efficient Exploration of Gradient Space for Online Learning to Rank. - Huazheng Wang; Ramsey Langley; Sonwoo Kim; Eric McCord-Snook; Hongning Wang (SIGIR, 2018)

Explainable Recommendation via Multi-Task Learning in Opinionated Text Data. - Nan Wang; Hongning Wang; Yiling Jia; Yue Yin (SIGIR, 2018)

Learning Contextual Bandits in a Non-stationary Environment. - Qingyun Wu; Naveen Iyer; Hongning Wang (SIGIR, 2018)

Hide-n-Seek: An Intent-aware Privacy Protection Plugin for Personalized Web Search. - Puxuan Yu; Wasi Uddin Ahmad; Hongning Wang (SIGIR, 2018)

Accounting for Temporal Dynamics in Document Streams. - Zhendong Chu; Renqin Cai; Hongning Wang (CIKM, 2019)

Active Collaborative Sensing for Energy Breakdown. - Yiling Jia; Nipun Batra 001; Hongning Wang; Kamin Whitehouse (CIKM, 2019)

Adversarial Domain Adaptation for Machine Reading Comprehension. - Huazheng Wang; Zhe Gan; Xiaodong Liu 003; Jingjing Liu 001; Jianfeng Gao 001; Hongning Wang (EMNLP/IJCNLP (1), 2019)

Factorization Bandits for Online Influence Maximization. - Qingyun Wu; Zhige Li; Huazheng Wang; Wei Chen 013; Hongning Wang (KDD, 2019)

A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation. - Xueying Bai; Jian Guan 002; Hongning Wang (NeurIPS, 2019)

Learning from Correlated Events for Equipment Relation Inference in Buildings. - Dezhi Hong; Renqin Cai; Hongning Wang; Kamin Whitehouse (BuildSys, 2019)

Sequential Learning with Active Partial Labeling for Building Metadata. - Lu Lin 001; Zheng Luo; Dezhi Hong; Hongning Wang (BuildSys, 2019)

Context Attentive Document Ranking and Query Suggestion. - Wasi Uddin Ahmad; Kai-Wei Chang; Hongning Wang (SIGIR, 2019)

The FacT: Taming Latent Factor Models for Explainability with Factorization Trees. - Yiyi Tao; Yiling Jia; Nan Wang; Hongning Wang (SIGIR, 2019)

Variance Reduction in Gradient Exploration for Online Learning to Rank. - Huazheng Wang; Sonwoo Kim; Eric McCord-Snook; Qingyun Wu; Hongning Wang (SIGIR, 2019)

Learning Personalized Topical Compositions with Item Response Theory. - Lu Lin 001; Lin Gong; Hongning Wang (WSDM, 2019)

A Tree-Structured Neural Network Model for Household Energy Breakdown. - Yiling Jia; Nipun Batra 001; Hongning Wang; Kamin Whitehouse (WWW, 2019)

Dynamic Ensemble of Contextual Bandits to Satisfy Users' Changing Interests. - Qingyun Wu; Huazheng Wang; Yanen Li; Hongning Wang (WWW, 2019)

BPMR: Bayesian Probabilistic Multivariate Ranking. - Nan Wang; Hongning Wang (CoRR, 2019)

Relation Inference among Sensor Time Series in Smart Buildings with Metric Learning. - Shuheng Li; Dezhi Hong; Hongning Wang (AAAI, 2020)

Lessons and Insights from Super-Resolution of Energy Data. - Rithwik Kukunuri; Nipun Batra 001; Hongning Wang (COMAD/CODS, 2020)

Selective Sampling for Sensor Type Classification in Buildings. - Jing Ma 002; Dezhi Hong; Hongning Wang (IPSN, 2020)

Graph Attention Networks over Edge Content-Based Channels. - Lu Lin 001; Hongning Wang (KDD, 2020)

Directional Multivariate Ranking. - Nan Wang; Hongning Wang (KDD, 2020)

Learning by Exploration: New Challenges in Real-World Environments. - Qingyun Wu; Huazheng Wang; Hongning Wang (KDD, 2020)

Global and Local Differential Privacy for Collaborative Bandits. - Huazheng Wang; Qian Zhao; Qingyun Wu; Shubham Chopra; Abhinav Khaitan; Hongning Wang (RecSys, 2020)

A monitoring, modeling, and interactive recommendation system for in-home caregivers: demo abstract. - Ye Gao; Meiyi Ma; Kristina Gordon; Karen Rose 001; Hongning Wang; John A. Stankovic (SenSys, 2020)

An Open Problem: Energy Data Super-Resolution. - Rithwik Kukunuri; Nipun Batra 001; Hongning Wang (NILM@SenSys, 2020)

JNET: Learning User Representations via Joint Network Embedding and Topic Embedding. - Lin Gong; Lu Lin 001; Weihao Song; Hongning Wang (WSDM, 2020)

Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation. - Jibang Wu; Renqin Cai; Hongning Wang (WWW, 2020)

Unbiased Learning to Rank via Propensity Ratio Scoring. - Nan Wang; Xuanhui Wang; Hongning Wang (CoRR, 2020)

Learning from Crowds by Modeling Common Confusions. - Zhendong Chu; Jing Ma 002; Hongning Wang (AAAI, 2021)

Unifying Clustered and Non-stationary Bandits. - Chuanhao Li; Qingyun Wu; Hongning Wang (AISTATS, 2021)

Improve Learning from Crowds via Generative Augmentation. - Zhendong Chu; Hongning Wang (KDD, 2021)

Towards semantic search in building sensor data. - Andrew Villca-Rocha; Max Zheng; Chengzhu Duan; Hongning Wang (BuildSys, 2021)

Category-aware Collaborative Sequential Recommendation. - Renqin Cai; Jibang Wu; Aidan San; Chong Wang; Hongning Wang (SIGIR, 2021)

Understanding and Mitigating Bias in Online Health Search. - Anat Hashavit; Hongning Wang; Raz Lin; Tamar Stern; Sarit Kraus (SIGIR, 2021)

When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution. - Chuanhao Li; Qingyun Wu; Hongning Wang (SIGIR, 2021)

Interactive Information Retrieval with Bandit Feedback. - Huazheng Wang; Yiling Jia; Hongning Wang (SIGIR, 2021)

Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction. - Nan Wang; Zhen Qin 001; Xuanhui Wang; Hongning Wang (WSDM, 2021)

Explanation as a Defense of Recommendation. - Aobo Yang; Nan Wang; Hongbo Deng; Hongning Wang (WSDM, 2021)

PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. - Yiling Jia; Huazheng Wang; Stephen D. Guo; Hongning Wang (WWW, 2021)

Reversible Action Design for Combinatorial Optimization with Reinforcement Learning. - Fan Yao; Renqin Cai; Hongning Wang (CoRR, 2021)

Incentivizing Exploration in Linear Bandits under Information Gap. - Huazheng Wang; Haifeng Xu; Chuanhao Li; Zhiyuan Liu 003; Hongning Wang (CoRR, 2021)

Graph Structural Attack by Spectral Distance. - Lu Lin; Ethan Blaser; Hongning Wang (CoRR, 2021)

Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank. - Yiling Jia; Hongning Wang (CoRR, 2021)

Learning the Optimal Recommendation from Explorative Users. - Fan Yao; Chuanhao Li; Denis Nekipelov; Hongning Wang; Haifeng Xu (AAAI, 2022)

Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits. - Chuanhao Li; Hongning Wang (AISTATS, 2022)

Rethinking Conversational Recommendations: Is Decision Tree All You Need? - A. S. M. Ahsan-Ul-Haque; Hongning Wang (CIKM, 2022)

Learning Neural Contextual Bandits through Perturbed Rewards. - Yiling Jia; Weitong Zhang; Dongruo Zhou; Quanquan Gu; Hongning Wang (ICLR, 2022)

When Are Linear Stochastic Bandits Attackable? - Huazheng Wang; Haifeng Xu; Hongning Wang (ICML, 2022)

Learning from a Learning User for Optimal Recommendations. - Fan Yao; Chuanhao Li; Denis Nekipelov; Hongning Wang; Haifeng Xu (ICML, 2022)

IMO^3: Interactive Multi-Objective Off-Policy Optimization. - Nan Wang; Hongning Wang; Maryam Karimzadehgan; Branislav Kveton; Craig Boutilier (IJCAI, 2022)

Graph Structural Attack by Perturbing Spectral Distance. - Lu Lin 001; Ethan Blaser; Hongning Wang (KDD, 2022)

Communication Efficient Federated Learning for Generalized Linear Bandits. - Chuanhao Li; Hongning Wang (NeurIPS, 2022)

Communication Efficient Distributed Learning for Kernelized Contextual Bandits. - Chuanhao Li; Huazheng Wang; Mengdi Wang; Hongning Wang (NeurIPS, 2022)

Dynamic Global Sensitivity for Differentially Private Contextual Bandits. - Huazheng Wang; David Zhao; Hongning Wang (RecSys, 2022)

Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback. - Yiling Jia; Hongning Wang (SIGIR, 2022)

Graph Embedding with Hierarchical Attentive Membership. - Lu Lin 001; Ethan Blaser; Hongning Wang (WSDM, 2022)

Learning Neural Ranking Models Online from Implicit User Feedback. - Yiling Jia; Hongning Wang (WWW, 2022)

Graph-based Extractive Explainer for Recommendations. - Peng Wang 105; Renqin Cai; Hongning Wang (WWW, 2022)

Unbiased Graph Embedding with Biased Graph Observations. - Nan Wang; Lu Lin 001; Jundong Li; Hongning Wang (WWW, 2022)

Comparative Explanations of Recommendations. - Aobo Yang; Nan Wang; Renqin Cai; Hongbo Deng; Hongning Wang (WWW, 2022)

IMO3: Interactive Multi-Objective Off-Policy Optimization. - Nan Wang; Hongning Wang; Maryam Karimzadehgan; Branislav Kveton; Craig Boutilier (CoRR, 2022)

Learning Contextual Bandits Through Perturbed Rewards. - Yiling Jia; Weitong Zhang; Dongruo Zhou; Quanquan Gu; Hongning Wang (CoRR, 2022)

The Enforced Transfer: A Novel Domain Adaptation Algorithm. - Ye Gao; Brian R. Baucom; Karen Rose 001; Kristina Gordon; Hongning Wang; John A. Stankovic (CoRR, 2022)

MiddleGAN: Generate Domain Agnostic Samples for Unsupervised Domain Adaptation. - Ye Gao; Zhendong Chu; Hongning Wang; John A. Stankovic (CoRR, 2022)

Integrating Voice-Based Machine Learning Technology into Complex Home Environments. - Ye Gao; Jason Jabbour; Eunjung Ko; Lahiru Nuwan Wijayasingha; Sooyoung Kim; Zetao Wang; Meiyi Ma; Karen Rose 001; Kristina Gordon; Hongning Wang; John A. Stankovic (CoRR, 2022)

Emotion Recognition Robust to Indoor Environmental Distortions and Non-targeted Emotions Using Out-of-distribution Detection. - Ye Gao; Asif Salekin; Kristina Gordon; Karen Rose 001; Hongning Wang; John A. Stankovic (ACM Trans. Comput. Heal., 2022)

Big Data Security Management Countermeasures in the Prevention and Control of Computer Network Crime. - Hongning Wang (J. Glob. Inf. Manag., 2022)

Out-of-the-Box Deployment to Support Research on In-Home Care of Alzheimer's Patients. - Ye Gao; Jason Jabbour; Emma C. Schlegel; Meiyi Ma; Matthew McCall; Lahiru N. S. Wijayasingha; Eunjung Ko; Kristina Gordon; Karen Rose 001; Hongning Wang; John A. Stankovic (IEEE Pervasive Comput., 2022)

COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. - Nan Wang; Qifan Wang 001; Yi-Chia Wang; Maziar Sanjabi; Jingzhou Liu; Hamed Firooz; Hongning Wang; Shaoliang Nie (EMNLP, 2023)

Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment. - Chuanhao Li; Huazheng Wang; Mengdi Wang; Hongning Wang (ICLR, 2023)

Spectral Augmentation for Self-Supervised Learning on Graphs. - Lu Lin 001; Jinghui Chen; Hongning Wang (ICLR, 2023)

How Bad is Top-K Recommendation under Competing Content Creators? - Fan Yao; Chuanhao Li; Denis Nekipelov; Hongning Wang; Haifeng Xu (ICML, 2023)

Debiasing Recommendation by Learning Identifiable Latent Confounders. - Qing Zhang; Xiaoying Zhang; Yang Liu 018; Hongning Wang; Min Gao 001; Jiheng Zhang; Ruocheng Guo (KDD, 2023)

Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems. - Zhendong Chu; Nan Wang; Hongning Wang (NeurIPS, 2023)

Incentivized Communication for Federated Bandits. - Zhepei Wei; Chuanhao Li; Haifeng Xu; Hongning Wang (NeurIPS, 2023)

Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? - Fan Yao; Chuanhao Li; Karthik Abinav Sankararaman; Yiming Liao; Yan Zhu; Qifan Wang 001; Hongning Wang; Haifeng Xu (NeurIPS, 2023)

Uncertainty-Aware Instance Reweighting for Off-Policy Learning. - Xiaoying Zhang; Junpu Chen; Hongning Wang; Hong Xie 004; Yang Liu 018; John C. S. Lui; Hang Li 001 (NeurIPS, 2023)

Incentivizing Exploration in Linear Contextual Bandits under Information Gap. - Huazheng Wang; Haifeng Xu; Chuanhao Li; Zhiyuan Liu 003; Hongning Wang (RecSys, 2023)

An End-to-End Solution for Spatial Inference in Smart Buildings. - Mingzhe Wu; Fan Yao; Hongning Wang (BuildSys, 2023)

Not Just Skipping: Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search. - Anat Hashavit; Hongning Wang; Tamar Stern; Sarit Kraus (SIGIR, 2023)

E-ADDA: Unsupervised Adversarial Domain Adaptation Enhanced by a New Mahalanobis Distance Loss for Smart Computing. - Ye Gao; Brian R. Baucom; Karen Rose 001; Kristina Gordon; Hongning Wang; John A. Stankovic (SMARTCOMP, 2023)

Meta Policy Learning for Cold-Start Conversational Recommendation. - Zhendong Chu; Hongning Wang; Yun Xiao; Bo Long; Lingfei Wu 001 (WSDM, 2023)

Disentangled Representation for Diversified Recommendations. - Xiaoying Zhang; Hongning Wang; Hang Li 001 (WSDM, 2023)

Personalization and Recommendations in Search. - Sudarshan Lamkhede; Anlei Dong; Moumita Bhattacharya; Hongning Wang (WWW (Companion Volume), 2023)

Meta-Reinforcement Learning via Exploratory Task Clustering. - Zhendong Chu; Hongning Wang (CoRR, 2023)

Uncertainty-Aware Off-Policy Learning. - Xiaoying Zhang; Junpu Chen; Hongning Wang; Hong Xie 004; Hang Li 001 (CoRR, 2023)

CritiqueLLM: Scaling LLM-as-Critic for Effective and Explainable Evaluation of Large Language Model Generation. - Pei Ke; Bosi Wen; Zhuoer Feng; Xiao Liu 036; Xuanyu Lei; Jiale Cheng; Shengyuan Wang 002; Aohan Zeng; Yuxiao Dong; Hongning Wang; Jie Tang 001; Minlie Huang (CoRR, 2023)

AlignBench: Benchmarking Chinese Alignment of Large Language Models. - Xiao Liu 036; Xuanyu Lei; Shengyuan Wang 002; Yue Huang 001; Zhuoer Feng; Bosi Wen; Jiale Cheng; Pei Ke; Yifan Xu; Weng Lam Tam; Xiaohan Zhang; Lichao Sun 001; et al. (CoRR, 2023)

A human-centric machine learning based personalized route choice prediction in navigation systems. - Bingrong Sun; Lin Gong; Jisup Shim; Kitae Jang; B. Brian Park; Hongning Wang; Jia Hu (J. Intell. Transp. Syst., 2023)

Meta-Reinforcement Learning via Exploratory Task Clustering. - Zhendong Chu; Renqin Cai; Hongning Wang (AAAI, 2024)

Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits. - Zhiwei Wang; Huazheng Wang; Hongning Wang (AAAI, 2024)

Black-Box Prompt Optimization: Aligning Large Language Models without Model Training. - Jiale Cheng; Xiao Liu 036; Kehan Zheng; Pei Ke; Hongning Wang; Yuxiao Dong; Jie Tang 001; Minlie Huang (ACL (1), 2024)

CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation. - Pei Ke; Bosi Wen; Andrew Feng; Xiao Liu 036; Xuanyu Lei; Jiale Cheng; Shengyuan Wang 002; Aohan Zeng; Yuxiao Dong; Hongning Wang; Jie Tang 001; Minlie Huang (ACL (1), 2024)

AlignBench: Benchmarking Chinese Alignment of Large Language Models. - Xiao Liu 036; Xuanyu Lei; Shengyuan Wang 002; Yue Huang 001; Andrew Feng; Bosi Wen; Jiale Cheng; Pei Ke; Yifan Xu; Weng Lam Tam; Xiaohan Zhang; Lichao Sun 001; et al. (ACL (1), 2024)

Learning Task Decomposition to Assist Humans in Competitive Programming. - Jiaxin Wen; Ruiqi Zhong; Pei Ke; Zhihong Shao; Hongning Wang; Minlie Huang (ACL (1), 2024)

Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization. - Zhexin Zhang; Junxiao Yang; Pei Ke; Fei Mi; Hongning Wang; Minlie Huang (ACL (1), 2024)

Federated Linear Contextual Bandits with Heterogeneous Clients. - Ethan Blaser; Chuanhao Li; Hongning Wang (AISTATS, 2024)

AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models. - Jiale Cheng; Yida Lu; Xiaotao Gu; Pei Ke; Xiao Liu 036; Yuxiao Dong; Hongning Wang; Jie Tang 001; Minlie Huang (EMNLP (Findings), 2024)

ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors. - Zhexin Zhang; Yida Lu; Jingyuan Ma; Di Zhang; Rui Li 094; Pei Ke; Hao Sun; Lei Sha; Zhifang Sui; Hongning Wang; Minlie Huang (EMNLP (Findings), 2024)

CharacterGLM: Customizing Social Characters with Large Language Models. - Jinfeng Zhou; Zhuang Chen 002; Dazhen Wan; Bosi Wen; Yi Song; Jifan Yu; Yongkang Huang; Pei Ke; Guanqun Bi; Libiao Peng; Jiaming Yang; Xiyao Xiao; et al. (EMNLP (Industry Track), 2024)

Language Model Decoding as Direct Metrics Optimization. - Haozhe Ji; Pei Ke; Hongning Wang; Minlie Huang (ICLR, 2024)

Incentivized Truthful Communication for Federated Bandits. - Zhepei Wei; Chuanhao Li; Tianze Ren; Haifeng Xu; Hongning Wang (ICLR, 2024)

Towards Efficient Exact Optimization of Language Model Alignment. - Haozhe Ji; Cheng Lu 011; Yilin Niu; Pei Ke; Hongning Wang; Jun Zhu 001; Jie Tang 001; Minlie Huang (ICML, 2024)

Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? - Fan Yao; Chuanhao Li; Denis Nekipelov; Hongning Wang; Haifeng Xu (ICML, 2024)

User Welfare Optimization in Recommender Systems with Competing Content Creators. - Fan Yao; Yiming Liao; Mingzhe Wu; Chuanhao Li; Yan Zhu; James Yang; Jingzhou Liu; Qifan Wang 001; Haifeng Xu; Hongning Wang (KDD, 2024)

AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback. - Jian Guan 002; Wei Wu 014; Zujie Wen; Peng Xu; Hongning Wang; Minlie Huang (NeurIPS, 2024)

Benchmarking Complex Instruction-Following with Multiple Constraints Composition. - Bosi Wen; Pei Ke; Xiaotao Gu; Lindong Wu; Hao Huang; Jinfeng Zhou; Wenchuang Li; Binxin Hu; Wendy Gao; Jiaxing Xu; Yiming Liu; Jie Tang; et al. (NeurIPS, 2024)

Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms. - Fan Yao; Yiming Liao; Jingzhou Liu; Shaoliang Nie; Qifan Wang 001; Haifeng Xu; Hongning Wang (NeurIPS, 2024)

Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation. - Xiaoying Zhang; Jean-Francois Ton; Wei Shen; Hongning Wang; Yang Liu 018 (NeurIPS, 2024)

The Second Workshop on Large Language Models for Individuals, Groups, and Society. - Michael Bendersky; Cheng Li 012; Qiaozhu Mei; Vanessa Murdock 001; Jie Tang 001; Hongning Wang; Hamed Zamani; Mingyang Zhang 001; Xingjian Zhang 002 (SIGIR, 2024)

Third Workshop on Personalization and Recommendations in Search (PaRiS). - Sudarshan Lamkhede; Hamed Zamani; Moumita Bhattacharya; Hongning Wang (SIGIR, 2024)

WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. - Michael Bendersky; Cheng Li 012; Qiaozhu Mei; Vanessa Murdock 001; Jie Tang 001; Hongning Wang; Hamed Zamani; Mingyang Zhang 001 (WSDM, 2024)

Retention Depolarization in Recommender System. - Xiaoying Zhang; Hongning Wang; Yang Liu 018 (WWW, 2024)

Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems. - Kai Zheng 001; Haijun Zhao; Rui Huang; Beichuan Zhang 002; Na Mou; Yanan Niu; Yang Song 008; Hongning Wang; Kun Gai (WWW, 2024)

The Impact of Snippet Reliability on Misinformation in Online Health Search. - Anat Hashavit; Tamar Stern; Hongning Wang; Sarit Kraus (CoRR, 2024)

Towards Efficient and Exact Optimization of Language Model Alignment. - Haozhe Ji; Cheng Lu 011; Yilin Niu; Pei Ke; Hongning Wang; Jun Zhu 001; Jie Tang 001; Minlie Huang (CoRR, 2024)

Overcoming Reward Overoptimization via Adversarial Policy Optimization with Lightweight Uncertainty Estimation. - Xiaoying Zhang; Jean-Francois Ton; Wei Shen; Hongning Wang; Yang Liu 018 (CoRR, 2024)

ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback. - Zhenyu Hou; Yilin Niu; Zhengxiao Du; Xiaohan Zhang; Xiao Liu 036; Aohan Zeng; Qinkai Zheng; Minlie Huang; Hongning Wang; Jie Tang 001; Yuxiao Dong (CoRR, 2024)

User Welfare Optimization in Recommender Systems with Competing Content Creators. - Fan Yao; Yiming Liao; Mingzhe Wu; Chuanhao Li; Yan Zhu; James Yang; Qifan Wang 001; Haifeng Xu; Hongning Wang (CoRR, 2024)

Improve Temporal Awareness of LLMs for Sequential Recommendation. - Zhendong Chu; Zichao Wang 001; Ruiyi Zhang 002; Yangfeng Ji; Hongning Wang; Tong Sun 005 (CoRR, 2024)

Knowledge-to-Jailbreak: One Knowledge Point Worth One Attack. - Shangqing Tu; Zhuoran Pan; Wenxuan Wang; Zhexin Zhang; Yuliang Sun; Jifan Yu; Hongning Wang; Lei Hou 001; Juanzi Li (CoRR, 2024)

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools. - Aohan Zeng; Bin Xu 001; Bowen Wang; Chenhui Zhang; Da Yin; Diego Rojas; Guanyu Feng; Hanlin Zhao; Hanyu Lai; Hao Yu; Hongning Wang; Jiadai Sun; et al. (CoRR, 2024)

Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks. - Zhexin Zhang; Junxiao Yang; Pei Ke; Shiyao Cui; Chujie Zheng; Hongning Wang; Minlie Huang (CoRR, 2024)

Benchmarking Complex Instruction-Following with Multiple Constraints Composition. - Bosi Wen; Pei Ke; Xiaotao Gu; Lindong Wu; Hao Huang; Jinfeng Zhou; Wenchuang Li; Binxin Hu; Wendy Gao; Jiaxin Xu; Yiming Liu; Jie Tang 001; et al. (CoRR, 2024)

CodePlan: Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form Planning. - Jiaxin Wen; Jian Guan 002; Hongning Wang; Wei Wu 014; Minlie Huang (CoRR, 2024)

RecFlow: An Industrial Full Flow Recommendation Dataset. - Qi Liu 003; Kai Zheng 001; Rui Huang; Wuchao Li; Kuo Cai; Yuan Chai; Yanan Niu; Yiqun Hui; Bing Han; Na Mou; Hongning Wang; Wentian Bao; et al. (CoRR, 2024)

Does RLHF Scale? Exploring the Impacts From Data, Model, and Method. - Zhenyu Hou; Pengfan Du; Yilin Niu; Zhengxiao Du; Aohan Zeng; Xiao Liu 036; Minlie Huang; Hongning Wang; Jie Tang 001; Yuxiao Dong (CoRR, 2024)

Agent-SafetyBench: Evaluating the Safety of LLM Agents. - Zhexin Zhang; Shiyao Cui; Yida Lu; Jingzhuo Zhou; Junxiao Yang; Hongning Wang; Minlie Huang (CoRR, 2024)

Automated Generation of Transformations to Mitigate Sensor Hardware Migration in ADS. - Meriel von Stein; Hongning Wang; Sebastian G. Elbaum (IEEE Robotics Autom. Lett., 2024)

SocialSim: Towards Socialized Simulation of Emotional Support Conversation. - Zhuang Chen 002; Yaru Cao; Guanqun Bi; Jincenzi Wu; Jinfeng Zhou; Xiyao Xiao; Si Chen; Hongning Wang; Minlie Huang (AAAI, 2025)

CharacterBench: Benchmarking Character Customization of Large Language Models. - Jinfeng Zhou; Yongkang Huang; Bosi Wen; Guanqun Bi; Yuxuan Chen; Pei Ke; Zhuang Chen 002; Xiyao Xiao; Libiao Peng; Kuntian Tang; Rongsheng Zhang; Le Zhang; et al. (AAAI, 2025)

LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models. - Jiayi Gui; Yiming Liu; Jiale Cheng; Xiaotao Gu; Xiao Liu 036; Hongning Wang; Yuxiao Dong; Jie Tang 001; Minlie Huang (ACL (Findings), 2025)

LongSafety: Evaluating Long-Context Safety of Large Language Models. - Yida Lu; Jiale Cheng; Zhexin Zhang; Shiyao Cui; Cunxiang Wang; Xiaotao Gu; Yuxiao Dong; Jie Tang 001; Hongning Wang; Minlie Huang (ACL (1), 2025)

Tree-KG: An Expandable Knowledge Graph Construction Framework for Knowledge-intensive Domains. - Songjie Niu; Kaisen Yang; Rui Zhao; Yichao Liu; Zonglin Li; Hongning Wang; Wenguang Chen (ACL (1), 2025)

HPSS: Heuristic Prompting Strategy Search for LLM Evaluators. - Bosi Wen; Pei Ke; Yufei Sun; Cunxiang Wang; Xiaotao Gu; Jinfeng Zhou; Jie Tang; Hongning Wang; Minlie Huang (ACL (Findings), 2025)

Guiding not Forcing: Enhancing the Transferability of Jailbreaking Attacks on LLMs via Removing Superfluous Constraints. - Junxiao Yang; Zhexin Zhang; Shiyao Cui; Hongning Wang; Minlie Huang (ACL (1), 2025)

SocialEval: Evaluating Social Intelligence of Large Language Models. - Jinfeng Zhou; Yuxuan Chen; Yihan Shi; Xuanming Zhang; Leqi Lei; Yi Feng; Zexuan Xiong; Miao Yan; Xunzhi Wang; Yaru Cao; Jianing Yin; Shuai Wang; et al. (ACL (1), 2025)

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models. - Jiale Cheng; Xiao Liu 036; Cunxiang Wang; Xiaotao Gu; Yida Lu; Dan Zhang; Yuxiao Dong; Jie Tang 001; Hongning Wang; Minlie Huang (ICLR, 2025)

Data Selection via Optimal Control for Language Models. - Yuxian Gu; Li Dong 004; Hongning Wang; Yaru Hao; Qingxiu Dong; Furu Wei; Minlie Huang (ICLR, 2025)

RecFlow: An Industrial Full Flow Recommendation Dataset. - Qi Liu 003; Kai Zheng 007; Rui Huang; Wuchao Li; Kuo Cai; Yuan Chai; Yanan Niu; Yiqun Hui; Bing Han; Na Mou; Hongning Wang; Wentian Bao; et al. (ICLR, 2025)

CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-form Planning. - Jiaxin Wen; Jian Guan 002; Hongning Wang; Wei Wu 014; Minlie Huang (ICLR, 2025)

MAPS: Advancing Multi-Modal Reasoning in Expert-Level Physical Science. - Erle Zhu; Yadi Liu; Zhe Zhang; Xujun Li; Jin Zhou; Xinjie Yu; Minlie Huang; Hongning Wang (ICLR, 2025)

Parametric Retrieval Augmented Generation. - Weihang Su; Yichen Tang; Qingyao Ai; Junxi Yan; Changyue Wang; Hongning Wang; Ziyi Ye; Yujia Zhou 002; Yiqun Liu 001 (SIGIR, 2025)

Decoupling Knowledge and Context: An Efficient and Effective Retrieval Augmented Generation Framework via Cross Attention. - Qian Dong; Qingyao Ai; Hongning Wang; Yiding Liu; Haitao Li 006; Weihang Su; Yiqun Liu 001; Tat-Seng Chua; Shaoping Ma (WWW, 2025)

Human Decision-making is Susceptible to AI-driven Manipulation. - Sahand Sabour; June M. Liu; Siyang Liu 003; Chris Z. Yao; Shiyao Cui; Xuanming Zhang; Wen Zhang; Yaru Cao; Advait Bhat; Jian Guan 002; Wei Wu 014; Rada Mihalcea; et al. (CoRR, 2025)

AISafetyLab: A Comprehensive Framework for AI Safety Evaluation and Improvement. - Zhexin Zhang; Leqi Lei; Junxiao Yang; Xijie Huang; Yida Lu; Shiyao Cui; Renmiao Chen; Qinglin Zhang; Xinyuan Wang 009; Hao Wang; Hao Li; Xianqi Lei; et al. (CoRR, 2025)

Evaluating Intelligence via Trial and Error. - Jingtao Zhan; Jiahao Zhao; Jiayu Li 001; Yiqun Liu 001; Bo Zhang; Qingyao Ai; Jiaxin Mao; Hongning Wang; Min Zhang 006; Shaoping Ma (CoRR, 2025)

VPO: Aligning Text-to-Video Generation Models with Prompt Optimization. - Jiale Cheng; Ruiliang Lyu; Xiaotao Gu; Xiao Liu 036; Jiazheng Xu; Yida Lu; Jiayan Teng; Zhuoyi Yang; Yuxiao Dong; Jie Tang 001; Hongning Wang; Minlie Huang (CoRR, 2025)

Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive Dialogues. - Jinfeng Zhou; Yuxuan Chen; Jianing Yin; Yongkang Huang; Yihan Shi; Xikun Zhang 008; Libiao Peng; Rongsheng Zhang; Tangjie Lv; Zhipeng Hu; Hongning Wang; Minlie Huang (CoRR, 2025)

BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs. - Junxiao Yang; Jinzhe Tu; Haoran Liu; Xiaoce Wang; Chujie Zheng; Zhexin Zhang; Shiyao Cui; Caishun Chen; Tiantian He 001; Hongning Wang; Yew-Soon Ong; Minlie Huang (CoRR, 2025)

ShieldVLM: Safeguarding the Multimodal Implicit Toxicity via Deliberative Reasoning with LVLMs. - Shiyao Cui; Qinglin Zhang; Xuan Ouyang; Renmiao Chen; Zhexin Zhang; Yida Lu; Hongning Wang; Han Qiu 001; Minlie Huang (CoRR, 2025)

How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study. - Zhexin Zhang; Xian Qi Loye; Victor Shea-Jay Huang; Junxiao Yang; Qi Zhu 011; Shiyao Cui; Fei Mi; Lifeng Shang; Yingkang Wang; Hongning Wang; Minlie Huang (CoRR, 2025)

Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen! - Zhexin Zhang; Yuhao Sun; Junxiao Yang; Shiyao Cui; Hongning Wang; Minlie Huang (CoRR, 2025)

Beyond Nash Equilibrium: Bounded Rationality of LLMs and humans in Strategic Decision-making. - Kehan Zheng; Jinfeng Zhou; Hongning Wang (CoRR, 2025)

SelfRACG: Enabling LLMs to Self-Express and Retrieve for Code Generation. - Qian Dong; Jia Chen 003; Qingyao Ai; Hongning Wang; Haitao Li 006; Yi Wu; Yao Hu 002; Yiqun Liu 001; Shaoping Ma (CoRR, 2025)

JPS: Jailbreak Multimodal Large Language Models with Collaborative Visual Perturbation and Textual Steering. - Renmiao Chen; Shiyao Cui; Xuancheng Huang; Chengwei Pan; Victor Shea-Jay Huang; Qinglin Zhang; Xuan Ouyang; Zhexin Zhang; Hongning Wang; Minlie Huang (CoRR, 2025)