Hongning Wang

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 199

Top Venues

Publications

Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang
Learning Task Decomposition to Assist Humans in Competitive Programming. ACL (1) (2024)
Anat Hashavit, Tamar Stern, Hongning Wang, Sarit Kraus
The Impact of Snippet Reliability on Misinformation in Online Health Search. CoRR (2024)
Meriel von Stein, Hongning Wang, Sebastian G. Elbaum
Automated Generation of Transformations to Mitigate Sensor Hardware Migration in ADS. IEEE Robotics Autom. Lett. 9 (7) (2024)
Jian Guan, Wei Wu, Zujie Wen, Peng Xu, Hongning Wang, Minlie Huang
AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback. CoRR (2024)
Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training. ACL (1) (2024)
Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang, Xingjian Zhang
The Second Workshop on Large Language Models for Individuals, Groups, and Society. SIGIR (2024)
Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang
Language Model Decoding as Direct Metrics Optimization. ICLR (2024)
Zhenyu Hou, Yilin Niu, Zhengxiao Du, Xiaohan Zhang, Xiao Liu, Aohan Zeng, Qinkai Zheng, Minlie Huang, Hongning Wang, Jie Tang, Yuxiao Dong
ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback. CoRR (2024)
Kai Zheng, Haijun Zhao, Rui Huang, Beichuan Zhang, Na Mou, Yanan Niu, Yang Song, Hongning Wang, Kun Gai
Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems. CoRR (2024)
Zhexin Zhang, Junxiao Yang, Pei Ke, Fei Mi, Hongning Wang, Minlie Huang
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization. ACL (1) (2024)
Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Qifan Wang, Haifeng Xu, Hongning Wang
User Welfare Optimization in Recommender Systems with Competing Content Creators. CoRR (2024)
Xiaoying Zhang, Hongning Wang, Yang Liu
Retention Depolarization in Recommender System. WWW (2024)
Zhepei Wei, Chuanhao Li, Tianze Ren, Haifeng Xu, Hongning Wang
Incentivized Truthful Communication for Federated Bandits. CoRR (2024)
Zhendong Chu, Zichao Wang, Ruiyi Zhang, Yangfeng Ji, Hongning Wang, Tong Sun
Improve Temporal Awareness of LLMs for Sequential Recommendation. CoRR (2024)
Zhepei Wei, Chuanhao Li, Tianze Ren, Haifeng Xu, Hongning Wang
Incentivized Truthful Communication for Federated Bandits. ICLR (2024)
Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Jingzhou Liu, Qifan Wang, Haifeng Xu, Hongning Wang
User Welfare Optimization in Recommender Systems with Competing Content Creators. KDD (2024)
Xiaoying Zhang, Jean-Francois Ton, Wei Shen, Hongning Wang, Yang Liu
Overcoming Reward Overoptimization via Adversarial Policy Optimization with Lightweight Uncertainty Estimation. CoRR (2024)
Pei Ke, Bosi Wen, Andrew Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation. ACL (1) (2024)
Ethan Blaser, Chuanhao Li, Hongning Wang
Federated Linear Contextual Bandits with Heterogeneous Clients. CoRR (2024)
Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Andrew Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Xiaotao Gu, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang
AlignBench: Benchmarking Chinese Alignment of Large Language Models. ACL (1) (2024)
Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang
Learning Task Decomposition to Assist Humans in Competitive Programming. CoRR (2024)
Zhiwei Wang, Huazheng Wang, Hongning Wang
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits. CoRR (2024)
Shangqing Tu, Zhuoran Pan, Wenxuan Wang, Zhexin Zhang, Yuliang Sun, Jifan Yu, Hongning Wang, Lei Hou, Juanzi Li
Knowledge-to-Jailbreak: One Knowledge Point Worth One Attack. CoRR (2024)
Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li, Pei Ke, Hao Sun, Lei Sha, Zhifang Sui, Hongning Wang, Minlie Huang
ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors. CoRR (2024)
Zhendong Chu, Renqin Cai, Hongning Wang
Meta-Reinforcement Learning via Exploratory Task Clustering. AAAI (2024)
Sudarshan Lamkhede, Hamed Zamani, Moumita Bhattacharya, Hongning Wang
Third Workshop on Personalization and Recommendations in Search (PaRiS). SIGIR (2024)
Aohan Zeng, Bin Xu, Bowen Wang, Chenhui Zhang, Da Yin, Diego Rojas, Guanyu Feng, Hanlin Zhao, Hanyu Lai, Hao Yu, Hongning Wang, Jiadai Sun, Jiajie Zhang, Jiale Cheng, Jiayi Gui, Jie Tang, Jing Zhang, Juanzi Li, Lei Zhao, Lindong Wu, Lucen Zhong, Mingdao Liu, Minlie Huang, Peng Zhang, Qinkai Zheng, Rui Lu, Shuaiqi Duan, Shudan Zhang, Shulin Cao, Shuxun Yang, Weng Lam Tam, Wenyi Zhao, Xiao Liu, Xiao Xia, Xiaohan Zhang, Xiaotao Gu, Xin Lv, Xinghan Liu, Xinyi Liu, Xinyue Yang, Xixuan Song, Xunkai Zhang, Yifan An, Yifan Xu, Yilin Niu, Yuantao Yang, Yueyan Li, Yushi Bai, Yuxiao Dong, Zehan Qi, Zhaoyu Wang, Zhen Yang, Zhengxiao Du, Zhenyu Hou, Zihan Wang
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools. CoRR (2024)
Zhexin Zhang, Junxiao Yang, Pei Ke, Shiyao Cui, Chujie Zheng, Hongning Wang, Minlie Huang
Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks. CoRR (2024)
Jiale Cheng, Yida Lu, Xiaotao Gu, Pei Ke, Xiao Liu, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models. CoRR (2024)
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? CoRR (2024)
Ethan Blaser, Chuanhao Li, Hongning Wang
Federated Linear Contextual Bandits with Heterogeneous Clients. AISTATS (2024)
Bosi Wen, Pei Ke, Xiaotao Gu, Lindong Wu, Hao Huang, Jinfeng Zhou, Wenchuang Li, Binxin Hu, Wendy Gao, Jiaxin Xu, Yiming Liu, Jie Tang, Hongning Wang, Minlie Huang
Benchmarking Complex Instruction-Following with Multiple Constraints Composition. CoRR (2024)
Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang
Towards Efficient and Exact Optimization of Language Model Alignment. CoRR (2024)
Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang
WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. WSDM (2024)
Kai Zheng, Haijun Zhao, Rui Huang, Beichuan Zhang, Na Mou, Yanan Niu, Yang Song, Hongning Wang, Kun Gai
Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems. WWW (2024)
Zhiwei Wang, Huazheng Wang, Hongning Wang
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits. AAAI (2024)
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
How Bad is Top-K Recommendation under Competing Content Creators? CoRR (2023)
Pei Ke, Bosi Wen, Zhuoer Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang
CritiqueLLM: Scaling LLM-as-Critic for Effective and Explainable Evaluation of Large Language Model Generation. CoRR (2023)
Sudarshan Lamkhede, Anlei Dong, Moumita Bhattacharya, Hongning Wang
Personalization and Recommendations in Search. WWW (Companion Volume) (2023)
Zhendong Chu, Hongning Wang, Yun Xiao, Bo Long, Lingfei Wu
Meta Policy Learning for Cold-Start Conversational Recommendation. WSDM (2023)
Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. EMNLP (2023)
Xiaoying Zhang, Hongning Wang, Hang Li
Disentangled Representation for Diversified Recommendations. WSDM (2023)
Zhepei Wei, Chuanhao Li, Haifeng Xu, Hongning Wang
Incentivized Communication for Federated Bandits. NeurIPS (2023)
Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Zhuoer Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang
AlignBench: Benchmarking Chinese Alignment of Large Language Models. CoRR (2023)
Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang
Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment. ICLR (2023)
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
How Bad is Top-K Recommendation under Competing Content Creators? ICML (2023)
Bingrong Sun, Lin Gong, Jisup Shim, Kitae Jang, B. Brian Park, Hongning Wang, Jia Hu
A human-centric machine learning based personalized route choice prediction in navigation systems. J. Intell. Transp. Syst. 27 (4) (2023)
Zhepei Wei, Chuanhao Li, Haifeng Xu, Hongning Wang
Incentivized Communication for Federated Bandits. CoRR (2023)
Zhendong Chu, Nan Wang, Hongning Wang
Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems. NeurIPS (2023)
Xiaoying Zhang, Junpu Chen, Hongning Wang, Hong Xie, Hang Li
Uncertainty-Aware Off-Policy Learning. CoRR (2023)
Mingzhe Wu, Fan Yao, Hongning Wang
An End-to-End Solution for Spatial Inference in Smart Buildings. BuildSys@SenSys (2023)
Anat Hashavit, Hongning Wang, Tamar Stern, Sarit Kraus
Not Just Skipping: Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search. SIGIR (2023)
Zhendong Chu, Hongning Wang
Meta-Reinforcement Learning via Exploratory Task Clustering. CoRR (2023)
Huazheng Wang, Haifeng Xu, Chuanhao Li, Zhiyuan Liu, Hongning Wang
Incentivizing Exploration in Linear Contextual Bandits under Information Gap. RecSys (2023)
Ye Gao, Brian R. Baucom, Karen Rose, Kristina Gordon, Hongning Wang, John A. Stankovic
E-ADDA: Unsupervised Adversarial Domain Adaptation Enhanced by a New Mahalanobis Distance Loss for Smart Computing. SMARTCOMP (2023)
Qing Zhang, Xiaoying Zhang, Yang Liu, Hongning Wang, Min Gao, Jiheng Zhang, Ruocheng Guo
Debiasing Recommendation by Learning Identifiable Latent Confounders. KDD (2023)
Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang
Language Model Decoding as Direct Metrics Optimization. CoRR (2023)
Xiaoying Zhang, Junpu Chen, Hongning Wang, Hong Xie, Yang Liu, John C. S. Lui, Hang Li
Uncertainty-Aware Instance Reweighting for Off-Policy Learning. NeurIPS (2023)
Xiaoying Zhang, Hongning Wang, Hang Li
Disentangled Representation for Diversified Recommendations. CoRR (2023)
Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? CoRR (2023)
Qing Zhang, Xiaoying Zhang, Yang Liu, Hongning Wang, Min Gao, Jiheng Zhang, Ruocheng Guo
Debiasing Recommendation by Learning Identifiable Latent Confounders. CoRR (2023)
Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training. CoRR (2023)
Lu Lin, Jinghui Chen, Hongning Wang
Spectral Augmentation for Self-Supervised Learning on Graphs. ICLR (2023)
Zhendong Chu, Nan Wang, Hongning Wang
Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems. CoRR (2023)
Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? NeurIPS (2023)
Lu Lin, Ethan Blaser, Hongning Wang
Graph Embedding with Hierarchical Attentive Membership. WSDM (2022)
Nan Wang, Lu Lin, Jundong Li, Hongning Wang
Unbiased Graph Embedding with Biased Graph Observations. WWW (2022)
Ye Gao, Brian Baucom, Karen Rose, Kristina Gordon, Hongning Wang, John A. Stankovic
The Enforced Transfer: A Novel Domain Adaptation Algorithm. CoRR (2022)
Lu Lin, Jinghui Chen, Hongning Wang
Spectral Augmentation for Self-Supervised Learning on Graphs. CoRR (2022)
Ye Gao, Asif Salekin, Kristina Gordon, Karen Rose, Hongning Wang, John A. Stankovic
Emotion Recognition Robust to Indoor Environmental Distortions and Non-targeted Emotions Using Out-of-distribution Detection. ACM Trans. Comput. Heal. 3 (2) (2022)
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
Learning from a Learning User for Optimal Recommendations. ICML (2022)
Aobo Yang, Nan Wang, Renqin Cai, Hongbo Deng, Hongning Wang
Comparative Explanations of Recommendations. WWW (2022)
Yiling Jia, Weitong Zhang, Dongruo Zhou, Quanquan Gu, Hongning Wang
Learning Neural Contextual Bandits through Perturbed Rewards. ICLR (2022)
Yiling Jia, Hongning Wang
Learning Neural Ranking Models Online from Implicit User Feedback. WWW (2022)
Huazheng Wang, Haifeng Xu, Hongning Wang
When Are Linear Stochastic Bandits Attackable? ICML (2022)
Chuanhao Li, Hongning Wang
Communication Efficient Federated Learning for Generalized Linear Bandits. CoRR (2022)
Peng Wang, Renqin Cai, Hongning Wang
Graph-based Extractive Explainer for Recommendations. CoRR (2022)
Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang
Communication Efficient Distributed Learning for Kernelized Contextual Bandits. NeurIPS (2022)
A. S. M. Ahsan-Ul-Haque, Hongning Wang
Rethinking Conversational Recommendations: Is Decision Tree All You Need? CoRR (2022)
Ye Gao, Jason Jabbour, Emma C. Schlegel, Meiyi Ma, Matthew McCall, Lahiru N. S. Wijayasingha, Eunjung Ko, Kristina Gordon, Karen Rose, Hongning Wang, John A. Stankovic
Out-of-the-Box Deployment to Support Research on In-Home Care of Alzheimer's Patients. IEEE Pervasive Comput. 21 (1) (2022)
Huazheng Wang, David Zhao, Hongning Wang
Dynamic Global Sensitivity for Differentially Private Contextual Bandits. RecSys (2022)
A S. M. Ahsan-Ul-Haque, Hongning Wang
Rethinking Conversational Recommendations: Is Decision Tree All You Need? CIKM (2022)
Nan Wang, Shaoliang Nie, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. CoRR (2022)
Nan Wang, Hongning Wang, Maryam Karimzadehgan, Branislav Kveton, Craig Boutilier
IMO^3: Interactive Multi-Objective Off-Policy Optimization. IJCAI (2022)
Chuanhao Li, Hongning Wang
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits. AISTATS (2022)
Ye Gao, Jason Jabbour, Eunjung Ko, Lahiru Nuwan Wijayasingha, Sooyoung Kim, Zetao Wang, Meiyi Ma, Karen Rose, Kristina Gordon, Hongning Wang, John A. Stankovic
Integrating Voice-Based Machine Learning Technology into Complex Home Environments. CoRR (2022)
Peng Wang, Renqin Cai, Hongning Wang
Graph-based Extractive Explainer for Recommendations. WWW (2022)
Zhendong Chu, Hongning Wang, Yun Xiao, Bo Long, Lingfei Wu
Meta Policy Learning for Cold-Start Conversational Recommendation. CoRR (2022)
Ye Gao, Zhendong Chu, Hongning Wang, John A. Stankovic
MiddleGAN: Generate Domain Agnostic Samples for Unsupervised Domain Adaptation. CoRR (2022)
Yiling Jia, Hongning Wang
Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback. SIGIR (2022)
Huazheng Wang, David Zhao, Hongning Wang
Dynamic Global Sensitivity for Differentially Private Contextual Bandits. CoRR (2022)
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
Learning from a Learning User for Optimal Recommendations. CoRR (2022)
Chuanhao Li, Hongning Wang
Communication Efficient Federated Learning for Generalized Linear Bandits. NeurIPS (2022)
Yiling Jia, Hongning Wang
Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback. CoRR (2022)
Yiling Jia, Weitong Zhang, Dongruo Zhou, Quanquan Gu, Hongning Wang
Learning Contextual Bandits Through Perturbed Rewards. CoRR (2022)
Nan Wang, Hongning Wang, Maryam Karimzadehgan, Branislav Kveton, Craig Boutilier
: Interactive Multi-Objective Off-Policy Optimization. CoRR (2022)
Lu Lin, Ethan Blaser, Hongning Wang
Graph Structural Attack by Perturbing Spectral Distance. KDD (2022)
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
Learning the Optimal Recommendation from Explorative Users. AAAI (2022)
Hongning Wang
Big Data Security Management Countermeasures in the Prevention and Control of Computer Network Crime. J. Glob. Inf. Manag. 30 (7) (2022)
Anat Hashavit, Hongning Wang, Tamar Stern, Sarit Kraus
Not Just Skipping. Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hongning Wang