Huazheng Wang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 65

Top Topics

Bandit Problems

Learning To Rank

Differentially Private

Top Venues

Publications

Yifan Zeng, Ojas Tendolkar, Raymond Baartmans, Qingyun Wu, Huazheng Wang, Lizhong Chen
LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking. CoRR (2024)
Xudong Guo, Kaixuan Huang, Jiale Liu, Wenhui Fan, Natalia Vélez, Qingyun Wu, Huazheng Wang, Thomas L. Griffiths, Mengdi Wang
Embodied LLM Agents Learn to Cooperate in Organized Teams. CoRR (2024)
Huazheng Wang, Jinming Wu, Haifeng Sun, Zixuan Xia, Daixuan Cheng, Jingyu Wang, Qi Qi, Jianxin Liao
MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning. NAACL-HLT (2024)
Jiahao Qiu, Hui Yuan, Jinghong Zhang, Wentao Chen, Huazheng Wang, Mengdi Wang
Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization. AAAI (2024)
Jiahao Qiu, Hui Yuan, Jinghong Zhang, Wentao Chen, Huazheng Wang, Mengdi Wang
Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization. CoRR (2024)
Jibang Wu, Siyu Chen, Mengdi Wang, Huazheng Wang, Haifeng Xu
Contractual Reinforcement Learning: Pulling Arms with Invisible Hands. CoRR (2024)
Zhiwei Wang, Huazheng Wang, Hongning Wang
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits. CoRR (2024)
Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Huazheng Wang, Dinesh Manocha, Mengdi Wang, Furong Huang
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback. ICLR (2024)
Shuhua Yang, Hui Yuan, Xiaoying Zhang, Mengdi Wang, Hong Zhang, Huazheng Wang
Conversational Dueling Bandits in Generalized Linear Models. KDD (2024)
Zachary Coalson, Huazheng Wang, Qingyun Wu, Sanghyun Hong
Hard Work Does Not Always Pay Off: Poisoning Attacks on Neural Architecture Search. CoRR (2024)
Shuhua Yang, Hui Yuan, Xiaoying Zhang, Mengdi Wang, Hong Zhang, Huazheng Wang
Conversational Dueling Bandits in Generalized Linear Models. CoRR (2024)
Yifan Zeng, Yiran Wu, Xiao Zhang, Huazheng Wang, Qingyun Wu
AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks. CoRR (2024)
Huazheng Wang, Haifeng Sun, Jingyu Wang, Qi Qi, Zixuan Xia, Menghao Zhang, Jianxin Liao
SSS: Editing Factual Knowledge in Language Models towards Semantic Sparse Space. ACL (Findings) (2024)
Tanapol Kosolwattana, Huazheng Wang, Raed Al Kontar, Ying Lin
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning. CoRR (2024)
Zhiwei Wang, Huazheng Wang, Hongning Wang
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits. AAAI (2024)
Xiang Ji, Huazheng Wang, Minshuo Chen, Tuo Zhao, Mengdi Wang
Provable Benefits of Policy Learning from Human Preferences in Contextual Bandit Problems. CoRR (2023)
Vahid Ghadakchi, Mian Xie, Arash Termehchy, Bakhtiyar Doskenov, Bharghav Srikhakollu, Summit Haque, Huazheng Wang
Multi-Agent Join. CoRR (2023)
Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang
Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment. ICLR (2023)
Rishab Balasubramanian, Jiawei Li, Prasad Tadepalli, Huazheng Wang, Qingyun Wu, Haoyu Zhao
Adversarial Attacks on Combinatorial Multi-Armed Bandits. CoRR (2023)
Zichen Wang, Chuanhao Li, Chenyu Song, Lianghui Wang, Quanquan Gu, Huazheng Wang
Pure Exploration in Asynchronous Federated Bandits. CoRR (2023)
Zichen Wang, Rishab Balasubramanian, Hui Yuan, Chenyu Song, Mengdi Wang, Huazheng Wang
Adversarial Attacks on Online Learning to Rank with Stochastic Click Models. CoRR (2023)
Yingzhou Lu, Huazheng Wang, Wenqi Wei
Machine Learning for Synthetic Data Generation: a Review. CoRR (2023)
Tanapol Kosolwattana, Huazheng Wang, Ying Lin
Online Modeling and Monitoring of Dependent Processes under Resource Constraints. CoRR (2023)
Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Dinesh Manocha, Huazheng Wang, Furong Huang, Mengdi Wang
Aligning Agent Policy with Externalities: Reward Design via Bilevel RL. CoRR (2023)
Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective. NeurIPS (2023)
Huazheng Wang, Haifeng Xu, Chuanhao Li, Zhiyuan Liu, Hongning Wang
Incentivizing Exploration in Linear Contextual Bandits under Information Gap. RecSys (2023)
Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP. ICML (2023)
Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective. CoRR (2023)
Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP. CoRR (2023)
Huazheng Wang, Daixuan Cheng, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Jing Wang, Cong Liu
How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data? CoRR (2023)
Huazheng Wang, Daixuan Cheng, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Jing Wang, Cong Liu
How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data? ECAI (2023)
Hui Yuan, Chengzhuo Ni, Huazheng Wang, Xuezhou Zhang, Le Cong, Csaba Szepesvári, Mengdi Wang
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization. CoRR (2022)
Kaixuan Huang, Yu Wu, Xuezhou Zhang, Shenyinying Tu, Qingyun Wu, Mengdi Wang, Huazheng Wang
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization. CoRR (2022)
Huazheng Wang, Haifeng Xu, Hongning Wang
When Are Linear Stochastic Bandits Attackable? ICML (2022)
Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang
Communication Efficient Distributed Learning for Kernelized Contextual Bandits. NeurIPS (2022)
Huazheng Wang, David Zhao, Hongning Wang
Dynamic Global Sensitivity for Differentially Private Contextual Bandits. RecSys (2022)
Hui Yuan, Chengzhuo Ni, Huazheng Wang, Xuezhou Zhang, Le Cong, Csaba Szepesvári, Mengdi Wang
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization. NeurIPS (2022)
Huazheng Wang, David Zhao, Hongning Wang
Dynamic Global Sensitivity for Differentially Private Contextual Bandits. CoRR (2022)
Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang
Communication Efficient Distributed Learning for Kernelized Contextual Bandits. CoRR (2022)
Huazheng Wang, Haifeng Xu, Chuanhao Li, Zhiyuan Liu, Hongning Wang
Incentivizing Exploration in Linear Bandits under Information Gap. CoRR (2021)
Yiling Jia, Huazheng Wang, Stephen Guo, Hongning Wang
PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. CoRR (2021)
Huazheng Wang, Yiling Jia, Hongning Wang
Interactive Information Retrieval with Bandit Feedback. SIGIR (2021)
Qingyao Ai, Tao Yang, Huazheng Wang, Jiaxin Mao
Unbiased Learning to Rank: Online or Offline? ACM Trans. Inf. Syst. 39 (2) (2021)
Yiling Jia, Huazheng Wang, Stephen Guo, Hongning Wang
PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. WWW (2021)
Huazheng Wang, Haifeng Xu, Hongning Wang
When Are Linear Stochastic Bandits Attackable? CoRR (2021)
Huazheng Wang, Qian Zhao, Qingyun Wu, Shubham Chopra, Abhinav Khaitan, Hongning Wang
Global and Local Differential Privacy for Collaborative Bandits. RecSys (2020)
Zhiyuan Liu, Huazheng Wang, Bo Waggoner, Youjian Liu, Lijun Chen
A Smoothed Analysis of Online Lasso for the Sparse Linear Contextual Bandit Problem. CoRR (2020)
Qingyao Ai, Tao Yang, Huazheng Wang, Jiaxin Mao
Unbiased Learning to Rank: Online or Offline? CoRR (2020)
Zhiyuan Liu, Huazheng Wang, Fan Shen, Kai Liu, Lijun Chen
Incentivized Exploration for Multi-Armed Bandits under Reward Drift. AAAI (2020)
Qingyun Wu, Huazheng Wang, Hongning Wang
Learning by Exploration: New Challenges in Real-World Environments. KDD (2020)
Yuting Wei, Huazheng Wang, Jiaqi Zhao, Yutong Liu, Yun Zhang, Bin Wu
GeLaiGeLai: A visual platform for analysis of Classical Chinese Poetry based on Knowledge Graph. ICKG (2020)
Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang
Factorization Bandits for Online Influence Maximization. CoRR (2019)
Zhiyuan Liu, Huazheng Wang, Fan Shen, Kai Liu, Lijun Chen
Incentivized Exploration for Multi-Armed Bandits under Reward Drift. CoRR (2019)
Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang
Factorization Bandits for Online Influence Maximization. KDD (2019)
Qingyun Wu, Huazheng Wang, Yanen Li, Hongning Wang
Dynamic Ensemble of Contextual Bandits to Satisfy Users' Changing Interests. WWW (2019)
Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang
Adversarial Domain Adaptation for Machine Reading Comprehension. EMNLP/IJCNLP (1) (2019)
Huazheng Wang, Sonwoo Kim, Eric McCord-Snook, Qingyun Wu, Hongning Wang
Variance Reduction in Gradient Exploration for Online Learning to Rank. CoRR (2019)
Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang
Adversarial Domain Adaptation for Machine Reading Comprehension. CoRR (2019)
Huazheng Wang, Sonwoo Kim, Eric McCord-Snook, Qingyun Wu, Hongning Wang
Variance Reduction in Gradient Exploration for Online Learning to Rank. SIGIR (2019)
Huazheng Wang, Ramsey Langley, Sonwoo Kim, Eric McCord-Snook, Hongning Wang
Efficient Exploration of Gradient Space for Online Learning to Rank. SIGIR (2018)
Huazheng Wang, Ramsey Langley, Sonwoo Kim, Eric McCord-Snook, Hongning Wang
Efficient Exploration of Gradient Space for Online Learning to Rank. CoRR (2018)
Huazheng Wang, Qingyun Wu, Hongning Wang
Factorization Bandits for Interactive Recommendation. AAAI (2017)
Huazheng Wang, Qingyun Wu, Hongning Wang
Learning Hidden Features for Contextual Bandits. CIKM (2016)
Qingyun Wu, Huazheng Wang, Quanquan Gu, Hongning Wang
Contextual Bandits in a Collaborative Environment. SIGIR (2016)
Huazheng Wang, Fei Tian, Bin Gao, Chengjieren Zhu, Jiang Bian, Tie-Yan Liu
Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding. EMNLP (2016)
Huazheng Wang, Bin Gao, Jiang Bian, Fei Tian, Tie-Yan Liu
Solving Verbal Comprehension Questions in IQ Test by Knowledge-Powered Word Embedding. CoRR (2015)