Huazheng Wang - RankMe

106 papers A* 33A 7Journal 58Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence. Trans. Mach. Learn. Res. Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Qihan Ren, Yiran Wu, Hongru Wang, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Cheng Qian, Zhenhailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang
2026	A*	`conf`	Bridging the Tokenizer Gap: Semantics and Distribution-aware Knowledge Transfer for Unbiased Cross-Tokenizer Distillation. AAAI Huazheng Wang, Yongcheng Jing, Haifeng Sun, Jingyu Wang, Jianxin Liao, Leszek Rutkowski, Dacheng Tao
2026	J	`jnl`	Density-aware Soft Context Compression with Semi-Dynamic Compression Ratio. CoRR Yijiong Yu, Shuai Yuan, Jie Zheng, Huazheng Wang, Ji Pei
2026	J	`jnl`	Embodied LLM Agents Learn to Cooperate in Organized Teams. IEEE Trans. Comput. Soc. Syst. Xudong Guo, Kaixuan Huang, Jiale Liu, Wenhui Fan, Natalia Vélez, Qingyun Wu, Huazheng Wang, Thomas L. Griffiths, Mengdi Wang
2026	J	`jnl`	LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking. Trans. Mach. Learn. Res. Yifan Zeng, Ojas Tendolkar, Raymond Baartmans, Qingyun Wu, Lizhong Chen, Huazheng Wang
2026	J	`jnl`	Live-Evo: Online Evolution of Agentic Memory from Continuous Feedback. CoRR Yaolun Zhang, Yiran Wu, Yijiong Yu, Qingyun Wu, Huazheng Wang
2025	A*	`conf`	A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement. ICLR Hui Yuan, Yifan Zeng, Yue Wu, Huazheng Wang, Mengdi Wang, Liu Leqi
2025	J	`jnl`	A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence. CoRR Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Yiran Wu, Hongru Wang, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Qihan Ren, Cheng Qian, Zhenhailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang
2025	J	`jnl`	Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference. CoRR Zichen Wang, Haoyang Hong, Chuanhao Li, Haoxuan Li, Zhiheng Zhang, Huazheng Wang
2025	J	`jnl`	Divide, Optimize, Merge: Fine-Grained LLM Agent Optimization at Scale. CoRR Jiale Liu, Yifan Zeng, Shaokun Zhang, Chi Zhang, Malte Højmark-Bertelsen, Marie Normann Gadeberg, Huazheng Wang, Qingyun Wu
2025	—	`conf`	Divide, Optimize, Merge: Scalable Fine-Grained Generative Optimization for LLM Agents. EMNLP (Findings) Jiale Liu, Yifan Zeng, Shaokun Zhang, Chi Zhang, Malte Højmark-Bertelsen, Marie Normann Gadeberg, Huazheng Wang, Qingyun Wu
2025	A*	`conf`	Efficient and Robust Reinforcement Learning from Human Feedback. AAAI Huazheng Wang
2025	J	`jnl`	Erasing Without Remembering: Safeguarding Knowledge Forgetting in Large Language Models. CoRR Huazheng Wang, Yongcheng Jing, Haifeng Sun, Yingjie Wang, Jingyu Wang, Jianxin Liao, Dacheng Tao
2025	—	`conf`	Evaluating and Mitigating Object Hallucination in Large Vision-Language Models: Can They Still See Removed Objects? NAACL (Long Papers) Yixiao He, Haifeng Sun, Pengfei Ren, Jingyu Wang, Huazheng Wang, Qi Qi, Zirui Zhuang, Jing Wang
2025	A*	`conf`	FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning. AAAI Tanapol Kosolwattana, Huazheng Wang, Raed Al Kontar, Ying Lin
2025	J	`jnl`	Fair Online Influence Maximization. Trans. Mach. Learn. Res. Xiangqi Wang, Shaokun Zhang, Jose Efraim Aguilar Escamill, Qingyun Wu, Xiangliang Zhang, Jian Kang, Huazheng Wang
2025	J	`jnl`	Hard Work Does Not Always Pay Off: On the Robustness of NAS to Data Poisoning. Trans. Mach. Learn. Res. Zachary Coalson, Huazheng Wang, Qingyun Wu, Sanghyun Hong
2025	A	`conf`	Mitigating Object Hallucination in Large Vision-Language Models via Visual Attention Direct Preference Optimization. ICME Yixiao He, Haifeng Sun, Qi Qi, Zirui Zhuang, Pengfei Ren, Huazheng Wang, Yafeng Nan, Jing-Yu Wang
2025	A*	`conf`	Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition. ICML Zichen Wang, Chuanhao Li, Huazheng Wang
2025	J	`jnl`	Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition. CoRR Zichen Wang, Chuanhao Li, Huazheng Wang
2025	A*	`conf`	SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement. EMNLP Chelsi Jain, Yiran Wu, Yifan Zeng, Jiale Liu, Shengyu Dai, Zhenwen Shao, Qingyun Wu, Huazheng Wang
2025	J	`jnl`	SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement. CoRR Chelsi Jain, Yiran Wu, Yifan Zeng, Jiale Liu, Shengyu Dai, Zhenwen Shao, Qingyun Wu, Huazheng Wang
2025	J	`jnl`	Sliding Window Attention Adaptation. CoRR Yijiong Yu, Jiale Liu, Qingyun Wu, Huazheng Wang, Ji Pei
2025	A*	`conf`	The Ranking Blind Spot: Decision Hijacking in LLM-based Text Ranking. EMNLP Yaoyao Qian, Yifan Zeng, Yuchao Jiang, Chelsi Jain, Huazheng Wang
2025	J	`jnl`	The Ranking Blind Spot: Decision Hijacking in LLM-based Text Ranking. CoRR Yaoyao Qian, Yifan Zeng, Yuchao Jiang, Chelsi Jain, Huazheng Wang
2025	—	`conf`	The Threat of PROMPTS in Large Language Models: A System and User Prompt Perspective. ACL (Findings) Zixuan Xia, Haifeng Sun, Jingyu Wang, Qi Qi, Huazheng Wang, Xiaoyuan Fu, Jianxin Liao
2025	—	`conf`	TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling. EMNLP (Findings) Jiahao Qiu, Yifu Lu, Yifan Zeng, Jiacheng Guo, Jiayi Geng, Chenhao Zhu, Xinzhe Juan, Ling Yang, Huazheng Wang, Kaixuan Huang, Yue Wu, Mengdi Wang
2025	A*	`conf`	Unveiling Internal Reasoning Modes in LLMs: A Deep Dive into Latent Reasoning vs. Factual Shortcuts with Attribute Rate Ratio. EMNLP Yiran Yang, Haifeng Sun, Jingyu Wang, Qi Qi, Zirui Zhuang, Huazheng Wang, Pengfei Ren, Jing Wang, Jianxin Liao
2025	A*	`conf`	Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems. ICML Shaokun Zhang, Ming Yin, Jieyu Zhang, Jiale Liu, Zhiguang Han, Jingyang Zhang, Beibin Li, Chi Wang, Huazheng Wang, Yiran Chen, Qingyun Wu
2025	J	`jnl`	Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems. CoRR Shaokun Zhang, Ming Yin, Jieyu Zhang, Jiale Liu, Zhiguang Han, Jingyang Zhang, Beibin Li, Chi Wang, Huazheng Wang, Yiran Chen, Qingyun Wu
2024	J	`jnl`	A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement. CoRR Hui Yuan, Yifan Zeng, Yue Wu, Huazheng Wang, Mengdi Wang, Liu Leqi
2024	A*	`conf`	Adversarial Attacks on Combinatorial Multi-Armed Bandits. ICML Rishab Balasubramanian, Jiawei Li, Prasad Tadepalli, Huazheng Wang, Qingyun Wu, Haoyu Zhao
2024	J	`jnl`	Adversarial Attacks on Online Learning to Rank with Stochastic Click Models. Trans. Mach. Learn. Res. Zichen Wang, Rishab Balasubramanian, Hui Yuan, Chenyu Song, Mengdi Wang, Huazheng Wang
2024	J	`jnl`	AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks. CoRR Yifan Zeng, Yiran Wu, Xiao Zhang, Huazheng Wang, Qingyun Wu
2024	J	`jnl`	Contractual Reinforcement Learning: Pulling Arms with Invisible Hands. CoRR Jibang Wu, Siyu Chen, Mengdi Wang, Huazheng Wang, Haifeng Xu
2024	A*	`conf`	Conversational Dueling Bandits in Generalized Linear Models. KDD Shuhua Yang, Hui Yuan, Xiaoying Zhang, Mengdi Wang, Hong Zhang, Huazheng Wang
2024	J	`jnl`	Conversational Dueling Bandits in Generalized Linear Models. CoRR Shuhua Yang, Hui Yuan, Xiaoying Zhang, Mengdi Wang, Hong Zhang, Huazheng Wang
2024	J	`jnl`	Embodied LLM Agents Learn to Cooperate in Organized Teams. CoRR Xudong Guo, Kaixuan Huang, Jiale Liu, Wenhui Fan, Natalia Vélez, Qingyun Wu, Huazheng Wang, Thomas L. Griffiths, Mengdi Wang
2024	J	`jnl`	FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning. CoRR Tanapol Kosolwattana, Huazheng Wang, Raed Al Kontar, Ying Lin
2024	J	`jnl`	Hard Work Does Not Always Pay Off: Poisoning Attacks on Neural Architecture Search. CoRR Zachary Coalson, Huazheng Wang, Qingyun Wu, Sanghyun Hong
2024	J	`jnl`	LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking. CoRR Yifan Zeng, Ojas Tendolkar, Raymond Baartmans, Qingyun Wu, Huazheng Wang, Lizhong Chen
2024	—	`conf`	MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning. NAACL-HLT Huazheng Wang, Jinming Wu, Haifeng Sun, Zixuan Xia, Daixuan Cheng, Jingyu Wang, Qi Qi, Jianxin Liao
2024	J	`jnl`	Memory-Augmented Agent Training for Business Document Understanding. CoRR Jiale Liu, Yifan Zeng, Malte Højmark-Bertelsen, Marie Normann Gadeberg, Huazheng Wang, Qingyun Wu
2024	A*	`conf`	PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback. ICLR Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Huazheng Wang, Dinesh Manocha, Mengdi Wang, Furong Huang
2024	A	`conf`	Pure Exploration in Asynchronous Federated Bandits. UAI Zichen Wang, Chuanhao Li, Chenyu Song, Lianghui Wang, Quanquan Gu, Huazheng Wang
2024	A*	`conf`	RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning. NeurIPS Yujie Zhao, Jose E. Aguilar Escamilla, Weyl Lu, Huazheng Wang
2024	J	`jnl`	RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning. CoRR Yujie Zhao, Jose Efraim Aguilar Escamill, Weyl Lu, Huazheng Wang
2024	—	`conf`	SSS: Editing Factual Knowledge in Language Models towards Semantic Sparse Space. ACL (Findings) Huazheng Wang, Haifeng Sun, Jingyu Wang, Qi Qi, Zixuan Xia, Menghao Zhang, Jianxin Liao
2024	A*	`conf`	Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits. AAAI Zhiwei Wang, Huazheng Wang, Hongning Wang
2024	J	`jnl`	Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits. CoRR Zhiwei Wang, Huazheng Wang, Hongning Wang
2024	A*	`conf`	Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization. AAAI Jiahao Qiu, Hui Yuan, Jinghong Zhang, Wentao Chen, Huazheng Wang, Mengdi Wang
2024	J	`jnl`	Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization. CoRR Jiahao Qiu, Hui Yuan, Jinghong Zhang, Wentao Chen, Huazheng Wang, Mengdi Wang
2024	J	`jnl`	TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling. CoRR Jiahao Qiu, Yifu Lu, Yifan Zeng, Jiacheng Guo, Jiayi Geng, Huazheng Wang, Kaixuan Huang, Yue Wu, Mengdi Wang
2024	A*	`conf`	Video Anomaly Detection via Progressive Learning of Multiple Proxy Tasks. ACM Multimedia Menghao Zhang, Jingyu Wang, Qi Qi, Pengfei Ren, Haifeng Sun, Zirui Zhuang, Huazheng Wang, Lei Zhang, Jianxin Liao
2023	J	`jnl`	Adversarial Attacks on Combinatorial Multi-Armed Bandits. CoRR Rishab Balasubramanian, Jiawei Li, Prasad Tadepalli, Huazheng Wang, Qingyun Wu, Haoyu Zhao
2023	J	`jnl`	Adversarial Attacks on Online Learning to Rank with Stochastic Click Models. CoRR Zichen Wang, Rishab Balasubramanian, Hui Yuan, Chenyu Song, Mengdi Wang, Huazheng Wang
2023	J	`jnl`	Aligning Agent Policy with Externalities: Reward Design via Bilevel RL. CoRR Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Dinesh Manocha, Huazheng Wang, Furong Huang, Mengdi Wang
2023	A	`conf`	How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data? ECAI Huazheng Wang, Daixuan Cheng, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Jing Wang, Cong Liu
2023	J	`jnl`	How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data? CoRR Huazheng Wang, Daixuan Cheng, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Jing Wang, Cong Liu
2023	A	`conf`	Incentivizing Exploration in Linear Contextual Bandits under Information Gap. RecSys Huazheng Wang, Haifeng Xu, Chuanhao Li, Zhiyuan Liu, Hongning Wang
2023	A*	`conf`	Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment. ICLR Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang
2023	J	`jnl`	Machine Learning for Synthetic Data Generation: a Review. CoRR Yingzhou Lu, Huazheng Wang, Wenqi Wei
2023	J	`jnl`	Multi-Agent Join. CoRR Vahid Ghadakchi, Mian Xie, Arash Termehchy, Bakhtiyar Doskenov, Bharghav Srikhakollu, Summit Haque, Huazheng Wang
2023	J	`jnl`	Online Modeling and Monitoring of Dependent Processes under Resource Constraints. CoRR Tanapol Kosolwattana, Huazheng Wang, Ying Lin
2023	J	`jnl`	Provable Benefits of Policy Learning from Human Preferences in Contextual Bandit Problems. CoRR Xiang Ji, Huazheng Wang, Minshuo Chen, Tuo Zhao, Mengdi Wang
2023	A*	`conf`	Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP. ICML Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang
2023	J	`jnl`	Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP. CoRR Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang
2023	J	`jnl`	Pure Exploration in Asynchronous Federated Bandits. CoRR Zichen Wang, Chuanhao Li, Chenyu Song, Lianghui Wang, Quanquan Gu, Huazheng Wang
2023	A*	`conf`	Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective. NeurIPS Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang
2023	J	`jnl`	Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective. CoRR Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang
2022	J	`jnl`	A hybrid BTP approach with filtered BCH codes for improved performance and security. J. Inf. Secur. Appl. Sani M. Abdullahi, Shuifa Sun, Yifei Wang, Pengpeng Yang, Huazheng Wang, Beng Wang
2022	A*	`conf`	Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization. NeurIPS Hui Yuan, Chengzhuo Ni, Huazheng Wang, Xuezhou Zhang, Le Cong, Csaba Szepesvári, Mengdi Wang
2022	J	`jnl`	Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization. CoRR Hui Yuan, Chengzhuo Ni, Huazheng Wang, Xuezhou Zhang, Le Cong, Csaba Szepesvári, Mengdi Wang
2022	A*	`conf`	Communication Efficient Distributed Learning for Kernelized Contextual Bandits. NeurIPS Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang
2022	J	`jnl`	Communication Efficient Distributed Learning for Kernelized Contextual Bandits. CoRR Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang
2022	A	`conf`	Dynamic Global Sensitivity for Differentially Private Contextual Bandits. RecSys Huazheng Wang, David Zhao, Hongning Wang
2022	J	`jnl`	Dynamic Global Sensitivity for Differentially Private Contextual Bandits. CoRR Huazheng Wang, David Zhao, Hongning Wang
2022	J	`jnl`	Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization. CoRR Kaixuan Huang, Yu Wu, Xuezhou Zhang, Shenyinying Tu, Qingyun Wu, Mengdi Wang, Huazheng Wang
2022	A*	`conf`	When Are Linear Stochastic Bandits Attackable? ICML Huazheng Wang, Haifeng Xu, Hongning Wang
2021	J	`jnl`	Incentivizing Exploration in Linear Bandits under Information Gap. CoRR Huazheng Wang, Haifeng Xu, Chuanhao Li, Zhiyuan Liu, Hongning Wang
2021	A*	`conf`	Interactive Information Retrieval with Bandit Feedback. SIGIR Huazheng Wang, Yiling Jia, Hongning Wang
2021	A*	`conf`	PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. WWW Yiling Jia, Huazheng Wang, Stephen D. Guo, Hongning Wang
2021	J	`jnl`	PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. CoRR Yiling Jia, Huazheng Wang, Stephen D. Guo, Hongning Wang
2021	J	`jnl`	Unbiased Learning to Rank: Online or Offline? ACM Trans. Inf. Syst. Qingyao Ai, Tao Yang, Huazheng Wang, Jiaxin Mao
2021	J	`jnl`	When Are Linear Stochastic Bandits Attackable? CoRR Huazheng Wang, Haifeng Xu, Hongning Wang
2020	J	`jnl`	A Smoothed Analysis of Online Lasso for the Sparse Linear Contextual Bandit Problem. CoRR Zhiyuan Liu, Huazheng Wang, Bo Waggoner, Youjian Liu, Lijun Chen
2020	—	`conf`	GeLaiGeLai: A visual platform for analysis of Classical Chinese Poetry based on Knowledge Graph. ICKG Yuting Wei, Huazheng Wang, Jiaqi Zhao, Yutong Liu, Yun Zhang, Bin Wu
2020	A	`conf`	Global and Local Differential Privacy for Collaborative Bandits. RecSys Huazheng Wang, Qian Zhao, Qingyun Wu, Shubham Chopra, Abhinav Khaitan, Hongning Wang
2020	A*	`conf`	Incentivized Exploration for Multi-Armed Bandits under Reward Drift. AAAI Zhiyuan Liu, Huazheng Wang, Fan Shen, Kai Liu, Lijun Chen
2020	A*	`conf`	Learning by Exploration: New Challenges in Real-World Environments. KDD Qingyun Wu, Huazheng Wang, Hongning Wang
2020	J	`jnl`	Unbiased Learning to Rank: Online or Offline? CoRR Qingyao Ai, Tao Yang, Huazheng Wang, Jiaxin Mao
2019	—	`conf`	Adversarial Domain Adaptation for Machine Reading Comprehension. EMNLP/IJCNLP (1) Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang
2019	J	`jnl`	Adversarial Domain Adaptation for Machine Reading Comprehension. CoRR Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang
2019	A*	`conf`	Dynamic Ensemble of Contextual Bandits to Satisfy Users' Changing Interests. WWW Qingyun Wu, Huazheng Wang, Yanen Li, Hongning Wang
2019	A*	`conf`	Factorization Bandits for Online Influence Maximization. KDD Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang
2019	J	`jnl`	Factorization Bandits for Online Influence Maximization. CoRR Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang
2019	J	`jnl`	Incentivized Exploration for Multi-Armed Bandits under Reward Drift. CoRR Zhiyuan Liu, Huazheng Wang, Fan Shen, Kai Liu, Lijun Chen
2019	A*	`conf`	Variance Reduction in Gradient Exploration for Online Learning to Rank. SIGIR Huazheng Wang, Sonwoo Kim, Eric McCord-Snook, Qingyun Wu, Hongning Wang
2019	J	`jnl`	Variance Reduction in Gradient Exploration for Online Learning to Rank. CoRR Huazheng Wang, Sonwoo Kim, Eric McCord-Snook, Qingyun Wu, Hongning Wang
2018	A*	`conf`	Efficient Exploration of Gradient Space for Online Learning to Rank. SIGIR Huazheng Wang, Ramsey Langley, Sonwoo Kim, Eric McCord-Snook, Hongning Wang
2018	J	`jnl`	Efficient Exploration of Gradient Space for Online Learning to Rank. CoRR Huazheng Wang, Ramsey Langley, Sonwoo Kim, Eric McCord-Snook, Hongning Wang
2017	A*	`conf`	Factorization Bandits for Interactive Recommendation. AAAI Huazheng Wang, Qingyun Wu, Hongning Wang
2016	A*	`conf`	Contextual Bandits in a Collaborative Environment. SIGIR Qingyun Wu, Huazheng Wang, Quanquan Gu, Hongning Wang
2016	A	`conf`	Learning Hidden Features for Contextual Bandits. CIKM Huazheng Wang, Qingyun Wu, Hongning Wang
2016	A*	`conf`	Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding. EMNLP Huazheng Wang, Fei Tian, Bin Gao, Chengjieren Zhu, Jiang Bian, Tie-Yan Liu
2015	J	`jnl`	Solving Verbal Comprehension Questions in IQ Test by Knowledge-Powered Word Embedding. CoRR Huazheng Wang, Bin Gao, Jiang Bian, Fei Tian, Tie-Yan Liu