Wang, Hongning

47 publications

AAAI 2025 CharacterBench: Benchmarking Character Customization of Large Language Models Jinfeng Zhou, Yongkang Huang, Bosi Wen, Guanqun Bi, Yuxuan Chen, Pei Ke, Zhuang Chen, Xiyao Xiao, Libiao Peng, Kuntian Tang, Rongsheng Zhang, Le Zhang, Tangjie Lv, Zhipeng Hu, Hongning Wang, Minlie Huang

ICLR 2025 CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-Form Planning Jiaxin Wen, Jian Guan, Hongning Wang, Wei Wu, Minlie Huang

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

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

ICLR 2025 RecFlow: An Industrial Full Flow Recommendation Dataset Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Enyun Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai

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

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

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

NeurIPS 2024 AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback Jian Guan, Wei Wu, 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, Jiaxin Xu, Yiming Liu, Jie Tang, Hongning Wang, Minlie Huang

AISTATS 2024 Federated Linear Contextual Bandits with Heterogeneous Clients Ethan Blaser, Chuanhao Li, Hongning Wang

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

ICMLW 2024 Improve Temporal Awareness of LLMs for Domain-General Sequential Recommendation Zhendong Chu, Zichao Wang, Ruiyi Zhang, Yangfeng Ji, Hongning Wang, Tong Sun

ICLR 2024 Incentivized Truthful Communication for Federated Bandits Zhepei Wei, Chuanhao Li, Tianze Ren, Haifeng Xu, Hongning Wang

ICLR 2024 Language Model Decoding as Direct Metrics Optimization Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang

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

NeurIPS 2024 Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation Xiaoying Zhang, Jean-François Ton, Wei Shen, Hongning Wang, Yang Liu

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

ICML 2024 Towards Efficient Exact Optimization of Language Model Alignment Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang

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

ICML 2023 How Bad Is Top-$k$ Recommendation Under Competing Content Creators? Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu

NeurIPS 2023 Incentivized Communication for Federated Bandits Zhepei Wei, Chuanhao Li, Haifeng Xu, Hongning Wang

ICLR 2023 Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang

ICMLW 2023 Learning from a Learning User for Optimal Recommendations Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu

NeurIPS 2023 Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems Zhendong Chu, Nan Wang, 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, Hongning Wang, Haifeng Xu

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

ICLR 2023 Spectral Augmentation for Self-Supervised Learning on Graphs Lu Lin, Jinghui Chen, Hongning Wang

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

AISTATS 2022 Asynchronous Upper Confidence Bound Algorithms for Federated 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 Communication Efficient Federated Learning for Generalized Linear Bandits Chuanhao Li, Hongning Wang

IJCAI 2022 IMO3: Interactive Multi-Objective Off-Policy Optimization Nan Wang, Hongning Wang, Maryam Karimzadehgan, Branislav Kveton, Craig Boutilier

ICLR 2022 Learning Neural Contextual Bandits Through Perturbed Rewards Yiling Jia, Weitong Zhang, Dongruo Zhou, Quanquan Gu, Hongning Wang

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

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

NeurIPSW 2022 Spectrum Guided Topology Augmentation for Graph Contrastive Learning Lu Lin, Jinghui Chen, Hongning Wang

ICML 2022 When Are Linear Stochastic Bandits Attackable? Huazheng Wang, Haifeng Xu, Hongning Wang

AISTATS 2021 Unifying Clustered and Non-Stationary Bandits Chuanhao Li, Qingyun Wu, Hongning Wang

AAAI 2021 Learning from Crowds by Modeling Common Confusions Zhendong Chu, Jing Ma, Hongning Wang

AAAI 2020 Relation Inference Among Sensor Time Series in Smart Buildings with Metric Learning Shuheng Li, Dezhi Hong, Hongning Wang

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

NeurIPS 2018 Bandit Learning with Implicit Feedback Yi Qi, Qingyun Wu, Hongning Wang, Jie Tang, Maosong Sun

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

AAAI 2018 Transferring Decomposed Tensors for Scalable Energy Breakdown Across Regions Nipun Batra, Yiling Jia, Hongning Wang, Kamin Whitehouse

AAAI 2017 Factorization Bandits for Interactive Recommendation Huazheng Wang, Qingyun Wu, Hongning Wang

AAAI 2017 Matrix Factorisation for Scalable Energy Breakdown Nipun Batra, Hongning Wang, Amarjeet Singh, Kamin Whitehouse