Jun Wang - RankMe

600 papers A* 119A 66B 7C 2Misc 7Journal 348Unranked 45

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Benchmark for Deep Information Synthesis. CoRR Debjit Paul, Daniel Murphy, Milan Gritta, Ronald Cardenas, Victor Prokhorov, Lena Sophia Bolliger, Aysim Toker, Roy Vaughan Miles, Andreea-Maria Oncescu, Jasivan Alex Sivakumar, Philipp Borchert, Ismail Elezi, Meiru Zhang, Ka Yiu Lee, Guchun Zhang, Jun Wang, Gerasimos Lampouras
2026	J	`jnl`	A Brain-like Synergistic Core in LLMs Drives Behaviour and Learning. CoRR Pedro Urbina-Rodriguez, Zafeirios Fountas, Fernando E. Rosas, Jun Wang, Andrea I. Luppi, Haitham Bou-Ammar, Murray Shanahan, Pedro A. M. Mediano
2026	J	`jnl`	Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning. CoRR Zheng Wu, Xingyu Lou, Xinbei Ma, Yansi Li, Weiwen Liu, Weinan Zhang, Jun Wang, Zhuosheng Zhang
2026	J	`jnl`	Apollo: Unified Multi-Task Audio-Video Joint Generation. CoRR Jun Wang, Chunyu Qiang, Yuxin Guo, Yiran Wang, Xijuan Zeng, Feng Deng
2026	J	`jnl`	ColorBrowserAgent: An Intelligent GUI Agent for Complex Long-Horizon Web Automation. CoRR Jiamu Zhou, Jihong Wang, Weiming Zhang, Weiwen Liu, Zhuosheng Zhang, Xingyu Lou, Weinan Zhang, Huarong Deng, Jun Wang
2026	J	`jnl`	DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories. CoRR Chenlong Deng, Mengjie Deng, Junjie Wu, Dun Zeng, Teng Wang, Qingsong Xie, Jiadeng Huang, Shengjie Ma, Changwang Zhang, Zhaoxiang Wang, Jun Wang, Yutao Zhu, Zhicheng Dou
2026	J	`jnl`	FedDM: Federated Learning Incorporating Dissimilarity Measure for Mobile Edge Computing Systems. IEEE Trans. Cogn. Commun. Netw. Ning Yang, Xin Yuan, Hai Lin, Haijun Zhang, Pin Lv, Jun Wang
2026	J	`jnl`	MM-Sonate: Multimodal Controllable Audio-Video Generation with Zero-Shot Voice Cloning. CoRR Chunyu Qiang, Jun Wang, Xiaopeng Wang, Kang Yin, Yuxin Guo
2026	J	`jnl`	Multi-task mutual learning for multimodal emotion-cause pair extraction in conversations. Inf. Fusion Geng Tu, Jun Wang, Li Yang, Bin Liang, Erik Cambria, Wenjie Li, Ruifeng Xu
2026	J	`jnl`	OneMall: One Architecture, More Scenarios - End-to-End Generative Recommender Family at Kuaishou E-Commerce. CoRR Kun Zhang, Jingming Zhang, Wei Cheng, Yansong Cheng, Jiaqi Zhang, Hao Lu, Xu Zhang, Haixiang Gan, Jiangxia Cao, Tenglong Wang, Ximing Zhang, Boyang Xia, Kuo Cai, Shiyao Wang, Hongjian Dou, Jinkai Yu, Mingxing Wen, Qiang Luo, Dongxu Liang, Chenyi Lei, Jun Wang, Runan Liu, Zhaojie Liu, Ruiming Tang, Tingting Gao, Shaoguo Liu, Yuqing Ding, Hui Kong, Han Li, Guorui Zhou, Wenwu Ou, Kun Gai
2026	J	`jnl`	OpenPyRo-A1: An Open Python-Based Low-Cost Bimanual Robot for Embodied AI. IEEE Robotics Autom. Lett. Helong Huang, Christopher E. Mower, Guowei Huang, Sarthak Das, Magnus Dierking, Guangyuan Luo, Kai Tan, Xi Chen, Yehai Yang, Yingbing Chen, Yiming Zeng, Yinchuan Li, Zhanpeng Zhang, Shuang Wu, Yingxue Zhang, Weichao Qiu, Tongtong Cao, Mian Qin, Sajjad Pakdamansavoji, Yuecheng Liu, Yuzheng Zhuang, Guangjian Tian, Jianye Hao, Jun Wang, Haitham Bou-Ammar, Xingyue Quan
2026	J	`jnl`	PhotoBench: Beyond Visual Matching Towards Personalized Intent-Driven Photo Retrieval. CoRR Tianyi Xu, Rong Shan, Junjie Wu, Jiadeng Huang, Teng Wang, Jiachen Zhu, Wenteng Chen, Minxin Tu, Quantao Dou, Zhaoxiang Wang, Changwang Zhang, Weinan Zhang, Jun Wang, Jianghao Lin
2026	J	`jnl`	Plan-MCTS: Plan Exploration for Action Exploitation in Web Navigation. CoRR Weiming Zhang, Jihong Wang, Jiamu Zhou, Qingyao Li, Xinbei Ma, Congmin Zheng, Xingyu Lou, Weiwen Liu, Zhuosheng Zhang, Jun Wang, Yong Yu, Weinan Zhang
2026	A*	`conf`	Proactive Constrained Policy Optimization with Preemptive Penalty. AAAI Ning Yang, Pengyu Wang, Guoqing Liu, Haifeng Zhang, Pin Lyu, Jun Wang
2026	A*	`conf`	Probe-and-Fetch: Dynamic KV Cache Pruning for Accelerated Long-Context Inference in Web-Scale AI Search. WWW Yuchen Li, Rui Kong, Xinran Chen, Chengzhe Zhang, Jiamin Chen, Cheng Deng, Xinyu Ma, Haojie Zhang, Tianhao Peng, Hengyi Cai, Shuaiqiang Wang, Jiashu Zhao, Yongqi Zhang, Haoyi Xiong, Jimmy Xiangji Huang, Lei Chen, Jun Wang, Dawei Yin
2026	—	`conf`	Process Evaluation for Agentic Systems. EACL (Findings) Milan Gritta, Debjit Paul, Xiaoguang Li, Lifeng Shang, Jun Wang, Gerasimos Lampouras
2026	J	`jnl`	Reinforcement Learning for Control with Probabilistic Stability Guarantee: A Finite-Sample Approach. CoRR Minghao Han, Lixian Zhang, Chenliang Liu, Zhipeng Zhou, Jun Wang, Wei Pan
2026	J	`jnl`	Reinforcement learning for control with probabilistic stability guarantee: A finite-sample approach. Autom. Minghao Han, Lixian Zhang, Chenliang Liu, Zhipeng Zhou, Jun Wang, Wei Pan
2026	J	`jnl`	Sim2Sea: Sim-to-Real Policy Transfer for Maritime Vessel Navigation in Congested Waters. CoRR Xinyu Cui, Xuanfa Jin, Xue Yan, Yongcheng Zeng, Luoyang Sun, Siying Wei, Ruizhi Zhang, Jian Zhao, Haifeng Zhang, Jun Wang
2026	A*	`conf`	Vision-Language Reasoning for Geolocalization: A Reinforcement Learning Approach. AAAI Biao Wu, Meng Fang, Ling Chen, Ke Xu, Tao Cheng, Jun Wang
2026	J	`jnl`	Vision-Language Reasoning for Geolocalization: A Reinforcement Learning Approach. CoRR Biao Wu, Meng Fang, Ling Chen, Ke Xu, Tao Cheng, Jun Wang
2026	J	`jnl`	Why the Brain Consolidates: Predictive Forgetting for Optimal Generalisation. CoRR Zafeirios Fountas, Adnan Oomerjee, Haitham Bou-Ammar, Jun Wang, Neil Burgess
2026	J	`jnl`	π-StepNFT: Wider Space Needs Finer Steps in Online RL for Flow-based VLAs. CoRR Siting Wang, Xiaofeng Wang, Zheng Zhu, Minnan Pei, Xinyu Cui, Cheng Deng, Jian Zhao, Guan Huang, Haifeng Zhang, Jun Wang
2025	J	`jnl`	A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning. CoRR Anjie Liu, Jianhong Wang, Samuel Kaski, Jun Wang, Mengyue Yang
2025	A	`conf`	ACCL: A Plug-and-play Adaptive Confusion-aware Contrastive Loss for UAV-to-Satellite Geolocalization. ICME Yining Zhu, Zihao Deng, Jun Wang, Boxuan Li, Long Xiao, Jikun Shen, Yuan Yao
2025	J	`jnl`	ARIES: Stimulating Self-Refinement of Large Language Models by Iterative Preference Optimization. CoRR Yongcheng Zeng, Xinyu Cui, Xuanfa Jin, Guoqing Liu, Zexu Sun, Quan He, Dong Li, Ning Yang, Jianye Hao, Haifeng Zhang, Jun Wang
2025	J	`jnl`	AccidentBench: Benchmarking Multimodal Understanding and Reasoning in Vehicle Accidents and Beyond. CoRR Shangding Gu, Xiaohan Wang, Donghao Ying, Haoyu Zhao, Runing Yang, Ming Jin, Boyi Li, Marco Pavone, Serena Yeung-Levy, Jun Wang, Dawn Song, Costas J. Spanos
2025	J	`jnl`	Activation-aware Probe-Query: Effective Key-Value Retrieval for Long-Context LLMs Inference. CoRR Qingfa Xiao, Jiachuan Wang, Haoyang Li, Cheng Deng, Jiaqi Tang, Shuangyin Li, Yongqi Zhang, Jun Wang, Lei Chen
2025	J	`jnl`	Agent Exchange: Shaping the Future of AI Agent Economics. CoRR Yingxuan Yang, Ying Wen, Jun Wang, Weinan Zhang
2025	J	`jnl`	Agentic Web: Weaving the Next Web with AI Agents. CoRR Yingxuan Yang, Mulei Ma, Yuxuan Huang, Huacan Chai, Chenyu Gong, Haoran Geng, Yuanjian Zhou, Ying Wen, Meng Fang, Muhao Chen, Shangding Gu, Ming Jin, Costas J. Spanos, Yang Yang, Pieter Abbeel, Dawn Song, Weinan Zhang, Jun Wang
2025	J	`jnl`	Almost Surely Safe Alignment of Large Language Models at Inference-Time. CoRR Xiaotong Ji, Shyam Sundhar Ramesh, Matthieu Zimmer, Ilija Bogunovic, Jun Wang, Haitham Bou-Ammar
2025	J	`jnl`	An enhanced 6G pervasive channel model towards standardization. Sci. China Inf. Sci. Chengxiang Wang, Zhen Lv, Chen Huang, Yusong Huang, Jun Wang, Jie Huang, Xiaohu You
2025	J	`jnl`	AppVLM: A Lightweight Vision Language Model for Online App Control. CoRR Georgios Papoudakis, Thomas Coste, Zhihao Wu, Jianye Hao, Jun Wang, Kun Shao
2025	J	`jnl`	Ark: An Open-source Python-based Framework for Robot Learning. CoRR Magnus Dierking, Christopher E. Mower, Sarthak Das, Helong Huang, Jiacheng Qiu, Cody Reading, Wei Chen, Huidong Liang, Guowei Huang, Jan Peters, Xingyue Quan, Jun Wang, Haitham Bou-Ammar
2025	J	`jnl`	AudioGen-Omni: A Unified Multimodal Diffusion Transformer for Video-Synchronized Audio, Speech, and Song Generation. CoRR Le Wang, Jun Wang, Chunyu Qiang, Feng Deng, Chen Zhang, Di Zhang, Kun Gai
2025	J	`jnl`	Beyond Syntax: Action Semantics Learning for App Agents. CoRR Bohan Tang, Dezhao Luo, Jingxuan Chen, Shaogang Gong, Jianye Hao, Jun Wang, Kun Shao
2025	—	`conf`	Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation. ACL (Findings) Kounianhua Du, Hanjing Wang, Jianxing Liu, Jizheng Chen, Xinyi Dai, Yasheng Wang, Ruiming Tang, Yong Yu, Jun Wang, Weinan Zhang
2025	J	`jnl`	Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation. CoRR Kounianhua Du, Hanjing Wang, Jianxing Liu, Jizheng Chen, Xinyi Dai, Yasheng Wang, Ruiming Tang, Yong Yu, Jun Wang, Weinan Zhang
2025	J	`jnl`	Bottlenecked Transformers: Periodic KV Cache Abstraction for Generalised Reasoning. CoRR Adnan Oomerjee, Zafeirios Fountas, Zhongwei Yu, Haitham Bou-Ammar, Jun Wang
2025	J	`jnl`	Bourbaki: Self-Generated and Goal-Conditioned MDPs for Theorem Proving. CoRR Matthieu Zimmer, Xiaotong Ji, Rasul Tutunov, Anthony Bordg, Jun Wang, Haitham Bou-Ammar
2025	J	`jnl`	Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning. CoRR Xiangning Yu, Zhuohan Wang, Linyi Yang, Haoxuan Li, Anjie Liu, Xiao Xue, Jun Wang, Mengyue Yang
2025	A*	`conf`	Circuit Transformer: A Transformer That Preserves Logical Equivalence. ICLR Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan, Jun Wang
2025	J	`jnl`	ColorAgent: Building A Robust, Personalized, and Interactive OS Agent. CoRR Ning Li, Qiqiang Lin, Zheng Wu, Xiaoyun Mo, Weiming Zhang, Yin Zhao, Xiangmou Qu, Jiamu Zhou, Congmin Zheng, Yuanyi Song, Hongjiang Chen, Heyuan Huang, Jihong Wang, Jiaxin Yin, Jingwei Yu, Junwei Liao, Qiuying Peng, Xingyu Lou, Jun Wang, Weiwen Liu, Zhuosheng Zhang, Weinan Zhang
2025	J	`jnl`	ColorBench: Benchmarking Mobile Agents with Graph-Structured Framework for Complex Long-Horizon Tasks. CoRR Yuanyi Song, Heyuan Huang, Qiqiang Lin, Yin Zhao, Xiangmou Qu, Jun Wang, Xingyu Lou, Weiwen Liu, Zhuosheng Zhang, Yong Yu, Weinan Zhang, Zhaoxiang Wang
2025	J	`jnl`	ColorEcosystem: Powering Personalized, Standardized, and Trustworthy Agentic Service in massive-agent Ecosystem. CoRR Fangwen Wu, Zheng Wu, Jihong Wang, Yunku Chen, Ruiguang Pei, Heyuan Huang, Xin Liao, Xingyu Lou, Huarong Deng, Zhihui Fu, Weiwen Liu, Zhuosheng Zhang, Weinan Zhang, Jun Wang
2025	A*	`conf`	Constrain Alignment with Sparse Autoencoders. ICML Qingyu Yin, Chak Tou Leong, Hongbo Zhang, Minjun Zhu, Hanqi Yan, Qiang Zhang, Yulan He, Wenjie Li, Jun Wang, Yue Zhang, Linyi Yang
2025	J	`jnl`	Constrained Language Model Policy Optimization via Risk-aware Stepwise Alignment. CoRR Lijun Zhang, Lin Li, Wei Wei, Yajie Qi, Huizhong Song, Jun Wang, Yaodong Yang, Jiye Liang
2025	J	`jnl`	Curious Causality-Seeking Agents Learn Meta Causal World. CoRR Zhiyu Zhao, Haoxuan Li, Haifeng Zhang, Jun Wang, Francesco Faccio, Jürgen Schmidhuber, Mengyue Yang
2025	J	`jnl`	Deep Research Agents: A Systematic Examination And Roadmap. CoRR Yuxuan Huang, Yihang Chen, Haozheng Zhang, Kang Li, Meng Fang, Linyi Yang, Xiaoguang Li, Lifeng Shang, Songcen Xu, Jianye Hao, Kun Shao, Jun Wang
2025	A*	`conf`	Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values. EMNLP Hongbo Zhang, Han Cui, Guangsheng Bao, Linyi Yang, Jun Wang, Yue Zhang
2025	J	`jnl`	Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values. CoRR Hongbo Zhang, Han Cui, Guangsheng Bao, Linyi Yang, Jun Wang, Yue Zhang
2025	A*	`conf`	DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent. ICLR Taiyi Wang, Zhihao Wu, Jianheng Liu, Jianye Hao, Jun Wang, Kun Shao
2025	J	`jnl`	Efficient Federated Learning in Wireless Networks With Incremental Model Quantization and Uploading. IEEE Trans. Netw. Sci. Eng. Zheng Qin, Gang Feng, Yi-Jing Liu, Tak-Shing Peter Yum, Fei Wang, Jun Wang
2025	J	`jnl`	Enhancing Efficiency and Propulsion in Bio-mimetic Robotic Fish through End-to-End Deep Reinforcement Learning. CoRR Xinyu Cui, Boai Sun, Yi Zhu, Ning Yang, Haifeng Zhang, Weicheng Cui, Dixia Fan, Jun Wang
2025	J	`jnl`	Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond. CoRR Shangding Gu, Donghao Ying, Ming Jin, Yu Joe Lu, Jun Wang, Javad Lavaei, Costas J. Spanos
2025	J	`jnl`	GTA: Grouped-head latenT Attention. CoRR Luoyang Sun, Jiwen Jiang, Cheng Deng, Xinjian Wu, Haifeng Zhang, Lei Chen, Lionel M. Ni, Jun Wang
2025	—	`conf`	GenSim: A General Social Simulation Platform with Large Language Model based Agents. NAACL (System Demonstrations) Jiakai Tang, Heyang Gao, Xuchen Pan, Lei Wang, Haoran Tan, Dawei Gao, Yushuo Chen, Xu Chen, Yankai Lin, Yaliang Li, Bolin Ding, Jingren Zhou, Jun Wang, Ji-Rong Wen
2025	J	`jnl`	Generative Models in Decision Making: A Survey. CoRR Yinchuan Li, Xinyu Shao, Jianping Zhang, Haozhi Wang, Leo Maxime Brunswic, Kaiwen Zhou, Jiqian Dong, Kaiyang Guo, Xiu Li, Zhitang Chen, Jun Wang, Jianye Hao
2025	A*	`conf`	Human-inspired Episodic Memory for Infinite Context LLMs. ICLR Zafeirios Fountas, Martin Benfeghoul, Adnan Oomerjee, Fenia Christopoulou, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang
2025	J	`jnl`	Kling-Foley: Multimodal Diffusion Transformer for High-Quality Video-to-Audio Generation. CoRR Jun Wang, Xijuan Zeng, Chunyu Qiang, Ruilong Chen, Shiyao Wang, Le Wang, Wangjing Zhou, Pengfei Cai, Jiahui Zhao, Nan Li, Zihan Li, Yuzhe Liang, Xiaopeng Wang, Haorui Zheng, Ming Wen, Kang Yin, Yiran Wang, Feng Deng, Liang Dong, Chen Zhang, Di Zhang, Kun Gai
2025	A*	`conf`	Large Language Models are Demonstration Pre-Selectors for Themselves. ICML Jiarui Jin, Yuwei Wu, Haoxuan Li, Xiaoting He, Weinan Zhang, Yiming Yang, Yong Yu, Jun Wang, Mengyue Yang
2025	J	`jnl`	Large Language Models are Demonstration Pre-Selectors for Themselves. CoRR Jiarui Jin, Yuwei Wu, Haoxuan Li, Xiaoting He, Weinan Zhang, Yiming Yang, Yong Yu, Jun Wang, Mengyue Yang
2025	A	`conf`	Learning Macroeconomic Policies Through Dynamic Stackelberg Mean-Field Games. ECAI Qirui Mi, Zhiyu Zhao, Chengdong Ma, Siyu Xia, Yan Song, Mengyue Yang, Jun Wang, Haifeng Zhang
2025	A*	`conf`	Lightweight Neural App Control. ICLR Filippos Christianos, Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao
2025	J	`jnl`	LoopServe: An Adaptive Dual-phase LLM Inference Acceleration System for Multi-Turn Dialogues. CoRR Haoyang Li, Zhanchao Xu, Yiming Li, Xuejia Chen, Darian Li, Anxin Tian, Qingfa Xiao, Cheng Deng, Jun Wang, Qing Li, Lei Chen, Mingxuan Yuan
2025	J	`jnl`	MF-LLM: Simulating Collective Decision Dynamics via a Mean-Field Large Language Model Framework. CoRR Qirui Mi, Mengyue Yang, Xiangning Yu, Zhiyu Zhao, Cheng Deng, Bo An, Haifeng Zhang, Xu Chen, Jun Wang
2025	A	`conf`	Mean Field Correlated Imitation Learning. AAMAS Zhiyu Zhao, Chengdong Ma, Qirui Mi, Ning Yang, Xue Yan, Mengyue Yang, Haifeng Zhang, Jun Wang, Yaodong Yang
2025	A*	`conf`	Mixture of Attentions For Speculative Decoding. ICLR Matthieu Zimmer, Milan Gritta, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang
2025	J	`jnl`	MobileUse: A GUI Agent with Hierarchical Reflection for Autonomous Mobile Operation. CoRR Ning Li, Xiangmou Qu, Jiamu Zhou, Jun Wang, Muning Wen, Kounianhua Du, Xingyu Lou, Qiuying Peng, Weinan Zhang
2025	J	`jnl`	Model-Based and Sample-Efficient AI-Assisted Math Discovery in Sphere Packing. CoRR Rasul Tutunov, Alexandre Maraval, Antoine Grosnit, Xihan Li, Jun Wang, Haitham Bou-Ammar
2025	B	`conf`	MultiNFT: A Multimodal Dataset for Non-Fungible Tokens Market Analysis. IEEE Big Data Shuying Liu, Bowei Chen, Cathy Yi-Hsuan Chen, Yu Zheng, Jun Wang
2025	A	`conf`	Multimodal Emotion Recognition in Conversations via Graph Structure Learning. ICME Feng Xiong, Geng Tu, Yice Zhang, Jun Wang, Shiwei Chen, Bin Liang, Yue Yu, Min Yang, Ruifeng Xu
2025	J	`jnl`	Object based Markov random field model for hierarchical semantic segmentation of remote sensing imagery. Int. J. Digit. Earth Jun Wang, Chen Zheng, Haoyu Fu, Yili Zhao, Qinling Dai, Xin Huang, Junfeng Xie, Leiguang Wang
2025	A*	`conf`	On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models. ICLR Xu-Hui Liu, Yali Du, Jun Wang, Yang Yu
2025	—	`conf`	Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models. KDD (2) Siyuan Guo, Huiwu Liu, Xiaolong Chen, Yuming Xie, Liang Zhang, Tao Han, Hechang Chen, Yi Chang, Jun Wang
2025	J	`jnl`	Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models. CoRR Siyuan Guo, Huiwu Liu, Xiaolong Chen, Yuming Xie, Liang Zhang, Tao Han, Hechang Chen, Yi Chang, Jun Wang
2025	C	`conf`	PIE: Permutation-Invariant Multi-Entity Evaluation. CoG Xue Yan, Haifeng Zhang, Yali Du, Jun Wang
2025	J	`jnl`	PLM: Efficient Peripheral Language Models Hardware-Co-Designed for Ubiquitous Computing. CoRR Cheng Deng, Luoyang Sun, Jiwen Jiang, Yongcheng Zeng, Xinjian Wu, Wenxin Zhao, Qingfa Xiao, Jiachuan Wang, Haoyang Li, Lei Chen, Lionel M. Ni, Haifeng Zhang, Jun Wang
2025	J	`jnl`	PoU: Proof-of-Use to Counter Tool-Call Hacking in DeepResearch Agents. CoRR Shengjie Ma, Chenlong Deng, Jiaxin Mao, Jiadeng Huang, Teng Wang, Junjie Wu, Changwang Zhang, Jun Wang
2025	J	`jnl`	Proactive Constrained Policy Optimization with Preemptive Penalty. CoRR Ning Yang, Pengyu Wang, Guoqing Liu, Haifeng Zhang, Pin Lv, Jun Wang
2025	J	`jnl`	Quick on the Uptake: Eliciting Implicit Intents from Human Demonstrations for Personalized Mobile-Use Agents. CoRR Zheng Wu, Heyuan Huang, Yanjia Yang, Yuanyi Song, Xingyu Lou, Weiwen Liu, Weinan Zhang, Jun Wang, Zhuosheng Zhang
2025	J	`jnl`	ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning. CoRR Ziyu Wan, Yunxiang Li, Yan Song, Hanjing Wang, Linyi Yang, Mark Schmidt, Jun Wang, Weinan Zhang, Shuyue Hu, Ying Wen
2025	—	`conf`	Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning. ACL (Findings) Jiachen Zhu, Congmin Zheng, Jianghao Lin, Kounianhua Du, Ying Wen, Yong Yu, Jun Wang, Weinan Zhang
2025	J	`jnl`	Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning. CoRR Jiachen Zhu, Congmin Zheng, Jianghao Lin, Kounianhua Du, Ying Wen, Yong Yu, Jun Wang, Weinan Zhang
2025	J	`jnl`	Risk-aware Direct Preference Optimization under Nested Risk Measure. CoRR Lijun Zhang, Lin Li, Yajie Qi, Huizhong Song, Yaodong Yang, Jun Wang, Wei Wei
2025	A*	`conf`	Robust Function-Calling for On-Device Language Model via Function Masking. ICLR Qiqiang Lin, Muning Wen, Qiuying Peng, Guanyu Nie, Junwei Liao, Jun Wang, Xiaoyun Mo, Jiamu Zhou, Cheng Cheng, Yin Zhao, Weinan Zhang
2025	J	`jnl`	Robust Multiobjective Reinforcement Learning Considering Environmental Uncertainties. IEEE Trans. Neural Networks Learn. Syst. Xiangkun He, Jianye Hao, Xu Chen, Jun Wang, Xuewu Ji, Chen Lv
2025	J	`jnl`	Self-Verifying Reflection Helps Transformers with CoT Reasoning. CoRR Zhongwei Yu, Wannian Xia, Xue Yan, Bo Xu, Haifeng Zhang, Yali Du, Jun Wang
2025	A*	`conf`	Spa-Bench: a comprehensive Benchmark for Smartphone Agent Evaluation. ICLR Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Kaiwen Zhou, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye Hao, Jun Wang, Kun Shao
2025	—	`conf`	SparsePO: Controlling Preference Alignment of LLMs via Sparse Token Masks. EMNLP (Findings) Fenia Christopoulou, Ronald Cardenas, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang
2025	J	`jnl`	SpatialViz-Bench: Automatically Generated Spatial Visualization Reasoning Tasks for MLLMs. CoRR Siting Wang, Luoyang Sun, Cheng Deng, Kun Shao, Minnan Pei, Zheng Tian, Haifeng Zhang, Jun Wang
2025	—	`conf`	Spiral of Silence in Large Language Model Agents. EMNLP (Findings) Mingze Zhong, Meng Fang, Zijing Shi, Yuxuan Huang, Shunfeng Zheng, Yali Du, Ling Chen, Jun Wang
2025	J	`jnl`	Spiral of Silence in Large Language Model Agents. CoRR Mingze Zhong, Meng Fang, Zijing Shi, Yuxuan Huang, Shunfeng Zheng, Yali Du, Ling Chen, Jun Wang
2025	J	`jnl`	SuRe: Surprise-Driven Prioritised Replay for Continual LLM Learning. CoRR Hugo Hazard, Zafeirios Fountas, Martin A. Benfeghoul, Adnan Oomerjee, Jun Wang, Haitham Bou-Ammar
2025	J	`jnl`	Subjective Depth and Timescale Transformers: Learning Where and When to Compute. CoRR Frederico Wieser, Martin Benfeghoul, Haitham Bou-Ammar, Jun Wang, Zafeirios Fountas
2025	J	`jnl`	Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control. CoRR Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao
2025	A	`conf`	Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction. AAMAS Taher Jafferjee, Juliusz Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni
2025	J	`jnl`	ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning. CoRR Shulin Huang, Linyi Yang, Yan Song, Shuang Chen, Leyang Cui, Ziyu Wan, Qingcheng Zeng, Ying Wen, Kun Shao, Weinan Zhang, Jun Wang, Yue Zhang
2025	J	`jnl`	Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Temporal Grounding. CoRR Jian Hu, Zixu Cheng, Shaogang Gong, Isabel Guan, Jianye Hao, Jun Wang, Kun Shao
2025	A	`conf`	Unlocking the Potential of Decentralized LLM-based MAS: Privacy Preservation and Monetization in Collective Intelligence. AAMAS Yingxuan Yang, Qiuying Peng, Jun Wang, Ying Wen, Weinan Zhang
2025	J	`jnl`	Untangling Component Imbalance in Hybrid Linear Attention Conversion Methods. CoRR Martin Benfeghoul, Teresa Delgado, Adnan Oomerjee, Haitham Bou-Ammar, Jun Wang, Zafeirios Fountas
2025	J	`jnl`	User Behavior Simulation with Large Language Model-based Agents. ACM Trans. Inf. Syst. Lei Wang, Jingsen Zhang, Hao Yang, Zhiyuan Chen, Jiakai Tang, Zeyu Zhang, Xu Chen, Yankai Lin, Hao Sun, Ruihua Song, Xin Zhao, Jun Xu, Zhicheng Dou, Jun Wang, Ji-Rong Wen
2025	J	`jnl`	VSC-RL: Advancing Autonomous Vision-Language Agents with Variational Subgoal-Conditioned Reinforcement Learning. CoRR Qingyuan Wu, Jianheng Liu, Jianye Hao, Jun Wang, Kun Shao
2025	Misc	`conf`	Variational Perturbation Personalized Federated Learning via Prior-Posterior Distance. ICASSP Hefeng Zhou, Yuanbin Wang, Jun Wang, Jiong Lou, Wugedele Bao, Chentao Wu, Jie Li
2025	J	`jnl`	VeriOS: Query-Driven Proactive Human-Agent-GUI Interaction for Trustworthy OS Agents. CoRR Zheng Wu, Heyuan Huang, Xingyu Lou, Xiangmou Qu, Pengzhou Cheng, Zongru Wu, Weiwen Liu, Weinan Zhang, Jun Wang, Zhaoxiang Wang, Zhuosheng Zhang
2025	J	`jnl`	ViMo: A Generative Visual GUI World Model for App Agent. CoRR Dezhao Luo, Bohan Tang, Kang Li, Georgios Papoudakis, Jifei Song, Shaogang Gong, Jianye Hao, Jun Wang, Kun Shao
2025	—	`conf`	Why Not Together? A Multiple-Round Recommender System for Queries and Items. KDD (1) Jiarui Jin, Xianyu Chen, Weinan Zhang, Yong Yu, Jun Wang
2024	J	`jnl`	A Review of Safe Reinforcement Learning: Methods, Theories, and Applications. IEEE Trans. Pattern Anal. Mach. Intell. Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Alois Knoll
2024	A	`conf`	A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary. AAMAS Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
2024	J	`jnl`	A survey on algorithms for Nash equilibria in finite normal-form games. Comput. Sci. Rev. Hanyu Li, Wenhan Huang, Zhijian Duan, David Henry Mguni, Kun Shao, Jun Wang, Xiaotie Deng
2024	—	`conf`	Adaptive Command : Real-Time Policy Adjustment via Language Models in StarCraft II. DAI Weiyu Ma, Dongyu Xu, Shu Lin, Haifeng Zhang, Jun Wang
2024	A*	`conf`	AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training. ICML Ziyu Wan, Xidong Feng, Muning Wen, Stephen Marcus McAleer, Ying Wen, Weinan Zhang, Jun Wang
2024	J	`jnl`	An Empirical Study on Google Research Football Multi-agent Scenarios. Mach. Intell. Res. Yan Song, He Jiang, Zheng Tian, Haifeng Zhang, Yingping Zhang, Jiangcheng Zhu, Zonghong Dai, Weinan Zhang, Jun Wang
2024	J	`jnl`	Attaining Human's Desirable Outcomes in Human-AI Interaction via Structural Causal Games. CoRR Anjie Liu, Jianhong Wang, Haoxuan Li, Xu Chen, Jun Wang, Samuel Kaski, Mengyue Yang
2024	J	`jnl`	Bayesian Reward Models for LLM Alignment. CoRR Adam X. Yang, Maxime Robeyns, Thomas Coste, Jun Wang, Haitham Bou-Ammar, Laurence Aitchison
2024	A	`conf`	Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: The Past, Present, and Future. AAMAS Yan Song, He Jiang, Haifeng Zhang, Zheng Tian, Weinan Zhang, Jun Wang
2024	J	`jnl`	Circuit Transformer: End-to-end Circuit Design by Predicting the Next Gate. CoRR Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan, Jun Wang
2024	J	`jnl`	Correlated Mean Field Imitation Learning. CoRR Zhiyu Zhao, Ning Yang, Xue Yan, Haifeng Zhang, Jun Wang, Yaodong Yang
2024	J	`jnl`	CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation. CoRR Jun Wang, Haoxuan Li, Chi Zhang, Dongxu Liang, Enyun Yu, Wenwu Ou, Wenjia Wang
2024	J	`jnl`	Cross-Utterance Conditioned VAE for Speech Generation. IEEE ACM Trans. Audio Speech Lang. Process. Yang Li, Cheng Yu, Guangzhi Sun, Weiqin Zu, Zheng Tian, Ying Wen, Wei Pan, Chao Zhang, Jun Wang, Yang Yang, Fanglei Sun
2024	A*	`conf`	DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning. ICML Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang
2024	J	`jnl`	DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning. CoRR Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang
2024	J	`jnl`	Direct Preference Optimization Using Sparse Feature-Level Constraints. CoRR Qingyu Yin, Chak Tou Leong, Hongbo Zhang, Minjun Zhu, Hanqi Yan, Qiang Zhang, Yulan He, Wenjie Li, Jun Wang, Yue Zhang, Linyi Yang
2024	J	`jnl`	DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents. CoRR Taiyi Wang, Zhihao Wu, Jianheng Liu, Jianye Hao, Jun Wang, Kun Shao
2024	J	`jnl`	Efficient Reinforcement Learning with Large Language Model Priors. CoRR Xue Yan, Yan Song, Xidong Feng, Mengyue Yang, Haifeng Zhang, Haitham Bou-Ammar, Jun Wang
2024	J	`jnl`	Entropy-Regularized Token-Level Policy Optimization for Large Language Models. CoRR Muning Wen, Cheng Deng, Jun Wang, Weinan Zhang, Ying Wen
2024	J	`jnl`	Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving. IEEE Trans. Pattern Anal. Mach. Intell. Xiangkun He, Jingda Wu, Zhiyu Huang, Zhongxu Hu, Jun Wang, Alberto L. Sangiovanni-Vincentelli, Chen Lv
2024	J	`jnl`	GenSim: A General Social Simulation Platform with Large Language Model based Agents. CoRR Jiakai Tang, Heyang Gao, Xuchen Pan, Lei Wang, Haoran Tan, Dawei Gao, Yushuo Chen, Xu Chen, Yankai Lin, Yaliang Li, Bolin Ding, Jingren Zhou, Jun Wang, Ji-Rong Wen
2024	—	`conf`	HITSZ-HLT at WASSA-2024 Shared Task 2: Language-agnostic Multi-task Learning for Explainability of Cross-lingual Emotion Detection. WASSA Feng Xiong, Jun Wang, Geng Tu, Ruifeng Xu
2024	J	`jnl`	HMDN: Hierarchical Multi-Distribution Network for Click-Through Rate Prediction. CoRR Xingyu Lou, Yu Yang, Kuiyao Dong, Heyuan Huang, Wenyi Yu, Ping Wang, Xiu Li, Jun Wang
2024	A*	`conf`	Human-Guided Moral Decision Making in Text-Based Games. AAAI Zijing Shi, Meng Fang, Ling Chen, Yali Du, Jun Wang
2024	J	`jnl`	Human-like Episodic Memory for Infinite Context LLMs. CoRR Zafeirios Fountas, Martin Benfeghoul, Adnan Oomerjee, Fenia Christopoulou, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang
2024	B	`conf`	Incremental Model Quantization for Federated Learning in Wireless Networks. GLOBECOM Zheng Qin, Gang Feng, Yijing Liu, Xiaoqian Li, Fei Wang, Jun Wang
2024	A*	`conf`	InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. WWW Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley
2024	J	`jnl`	InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. CoRR Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley
2024	A*	`conf`	Language and Sketching: An LLM-driven Interactive Multimodal Multitask Robot Navigation Framework. ICRA Weiqin Zu, Wenbin Song, Ruiqing Chen, Ze Guo, Fanglei Sun, Zheng Tian, Wei Pan, Jun Wang
2024	A*	`conf`	Large Language Models Are Neurosymbolic Reasoners. AAAI Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang
2024	J	`jnl`	Large Language Models Are Neurosymbolic Reasoners. CoRR Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang
2024	J	`jnl`	Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level. CoRR Antoine Grosnit, Alexandre Maraval, James Doran, Giuseppe Paolo, Albert Thomas, Refinath Shahul Hameed Nabeezath Beevi, Jonas Gonzalez, Khyati Khandelwal, Ignacio Iacobacci, Abdelhakim Benechehab, Hamza Cherkaoui, Youssef Attia El Hili, Kun Shao, Jianye Hao, Jun Yao, Balázs Kégl, Haitham Bou-Ammar, Jun Wang
2024	A*	`conf`	Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach. NeurIPS Weiyu Ma, Qirui Mi, Yongcheng Zeng, Xue Yan, Runji Lin, Yuqiao Wu, Jun Wang, Haifeng Zhang
2024	J	`jnl`	Learning Macroeconomic Policies based on Microfoundations: A Stackelberg Mean Field Game Approach. CoRR Qirui Mi, Zhiyu Zhao, Siyu Xia, Yan Song, Jun Wang, Haifeng Zhang
2024	J	`jnl`	Learning State-Specific Action Masks for Reinforcement Learning. Algorithms Ziyi Wang, Xinran Li, Luoyang Sun, Haifeng Zhang, Hualin Liu, Jun Wang
2024	J	`jnl`	Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf. CoRR Xuanfa Jin, Ziyan Wang, Yali Du, Meng Fang, Haifeng Zhang, Jun Wang
2024	J	`jnl`	Lightweight Neural App Control. CoRR Filippos Christianos, Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao
2024	J	`jnl`	Logic Synthesis with Generative Deep Neural Networks. CoRR Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan, Jun Wang
2024	—	`conf`	Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem. DAI Jingxiao Chen, Ziqin Gong, Lvda Chen, Minghuan Liu, Jun Wang, Yong Yu, Weinan Zhang
2024	J	`jnl`	Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem. CoRR Jingxiao Chen, Ziqin Gong, Minghuan Liu, Jun Wang, Yong Yu, Weinan Zhang
2024	J	`jnl`	Manas: multi-agent neural architecture search. Mach. Learn. Vasco Lopes, Fabio Maria Carlucci, Pedro M. Esperança, Marco Singh, Antoine Yang, Victor Gabillon, Hang Xu, Zewei Chen, Jun Wang
2024	J	`jnl`	Mixture of Attentions For Speculative Decoding. CoRR Matthieu Zimmer, Milan Gritta, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang
2024	J	`jnl`	Multi-LLM-Agent Systems: Techniques and Business Perspectives. CoRR Yingxuan Yang, Qiuying Peng, Jun Wang, Weinan Zhang
2024	—	`conf`	Multiple Knowledge-Enhanced Interactive Graph Network for Multimodal Conversational Emotion Recognition. EMNLP (Findings) Geng Tu, Jun Wang, Zhenyu Li, Shiwei Chen, Bin Liang, Xi Zeng, Min Yang, Ruifeng Xu
2024	J	`jnl`	Natural Language Reinforcement Learning. CoRR Xidong Feng, Ziyu Wan, Mengyue Yang, Ziyan Wang, Girish A. Koushik, Yali Du, Ying Wen, Jun Wang
2024	J	`jnl`	Natural Language Reinforcement Learning. CoRR Xidong Feng, Ziyu Wan, Haotian Fu, Bo Liu, Mengyue Yang, Girish A. Koushik, Zhiyuan Hu, Ying Wen, Jun Wang
2024	J	`jnl`	OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models. CoRR Jun Wang, Meng Fang, Ziyu Wan, Muning Wen, Jiachen Zhu, Anjie Liu, Ziqin Gong, Yan Song, Lei Chen, Lionel M. Ni, Linyi Yang, Ying Wen, Weinan Zhang
2024	A*	`conf`	Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting. NeurIPS Xiong-Hui Chen, Ziyan Wang, Yali Du, Shengyi Jiang, Meng Fang, Yang Yu, Jun Wang
2024	A	`conf`	RACon: Retrieval-Augmented Simulated Character Locomotion Control. ICME Yuxuan Mu, Shihao Zou, Kangning Yin, Zheng Tian, Li Cheng, Weinan Zhang, Jun Wang
2024	J	`jnl`	RACon: Retrieval-Augmented Simulated Character Locomotion Control. CoRR Yuxuan Mu, Shihao Zou, Kangning Yin, Zheng Tian, Li Cheng, Weinan Zhang, Jun Wang
2024	J	`jnl`	ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. CoRR Christopher E. Mower, Yuhui Wan, Hongzhan Yu, Antoine Grosnit, Jonas Gonzalez-Billandon, Matthieu Zimmer, Jinlong Wang, Xinyu Zhang, Yao Zhao, Anbang Zhai, Puze Liu, Davide Tateo, Cesar Cadena, Marco Hutter, Jan Peters, Guangjian Tian, Yuzheng Zhuang, Kun Shao, Xingyue Quan, Jianye Hao, Jun Wang, Haitham Bou-Ammar
2024	A*	`conf`	Reinforcing LLM Agents via Policy Optimization with Action Decomposition. NeurIPS Muning Wen, Ziyu Wan, Jun Wang, Weinan Zhang, Ying Wen
2024	J	`jnl`	Reinforcing Language Agents via Policy Optimization with Action Decomposition. CoRR Muning Wen, Ziyu Wan, Weinan Zhang, Jun Wang, Ying Wen
2024	J	`jnl`	SPA-Bench: A Comprehensive Benchmark for SmartPhone Agent Evaluation. CoRR Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Kaiwen Zhou, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye Hao, Jun Wang, Kun Shao
2024	J	`jnl`	Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels. IEEE Trans. Mob. Comput. Yang Li, Fanglei Sun, Jingchen Hu, Chang Liu, Fan Wu, Kai Li, Ying Wen, Zheng Tian, Yaodong Yang, Jiangcheng Zhu, Zhifeng Chen, Jun Wang, Yang Yang
2024	J	`jnl`	SparsePO: Controlling Preference Alignment of LLMs via Sparse Token Masks. CoRR Fenia Christopoulou, Ronald Cardenas, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang
2024	J	`jnl`	Task-Oriented 6G Native-AI Network Architecture. IEEE Netw. Yang Yang, Jianjun Wu, Tianjiao Chen, Chenghui Peng, Jun Wang, Juan Deng, Xiaofeng Tao, Guangyi Liu, Wenjing Li, Li Yang, Yufeng He, Tingting Yang, A. Hamid Aghvami, Frank Eliassen, Schahram Dustdar, Dusit Niyato, Wanfei Sun, Yang Xu, Yannan Yuan, Jiang (Linda) Xie, Rongpeng Li, Cuiqin Dai
2024	A	`conf`	TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-agent Reinforcement Learning. AAMAS Qirui Mi, Siyu Xia, Yan Song, Haifeng Zhang, Shenghao Zhu, Jun Wang
2024	A*	`conf`	Token-level Direct Preference Optimization. ICML Yongcheng Zeng, Guoqing Liu, Weiyu Ma, Ning Yang, Haifeng Zhang, Jun Wang
2024	J	`jnl`	Token-level Direct Preference Optimization. CoRR Yongcheng Zeng, Guoqing Liu, Weiyu Ma, Ning Yang, Haifeng Zhang, Jun Wang
2024	J	`jnl`	Why Not Together? A Multiple-Round Recommender System for Queries and Items. CoRR Jiarui Jin, Xianyu Chen, Weinan Zhang, Yong Yu, Jun Wang
2024	J	`jnl`	ZSL-RPPO: Zero-Shot Learning for Quadrupedal Locomotion in Challenging Terrains using Recurrent Proximal Policy Optimization. CoRR Yao Zhao, Tao Wu, Yijie Zhu, Xiang Lu, Jun Wang, Haitham Bou-Ammar, Xinyu Zhang, Peng Du
2023	J	`jnl`	6G Network AI Architecture for Everyone-Centric Customized Services. IEEE Netw. Yang Yang, Mulei Ma, Hequan Wu, Quan Yu, Xiaohu You, Jianjun Wu, Chenghui Peng, Tak-Shing Peter Yum, A. Hamid Aghvami, Geoffrey Ye Li, Jiangzhou Wang, Guangyi Liu, Peng Gao, Xiongyan Tang, Chang Cao, John S. Thompson, Kai-Kit Wong, Shanzhi Chen, Zhiqin Wang, Mérouane Debbah, Schahram Dustdar, Frank Eliassen, Tao Chen, Xiangyang Duan, Shaohui Sun, Xiaofeng Tao, Qinyu Zhang, Jianwei Huang, Wenjun Zhang, Jie Li, Yue Gao, Honggang Zhang, Xu Chen, Xiaohu Ge, Yong Xiao, Cheng-Xiang Wang, Zaichen Zhang, Song Ci, Guoqiang Mao, Changle Li, Ziyu Shao, Yong Zhou, Junrui Liang, Kai Li, Liantao Wu, Fanglei Sun, Kunlun Wang, Zening Liu, Kun Yang, Jun Wang, Teng Gao, Hongfeng Shu
2023	A*	`conf`	A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems. ICML Oliver Slumbers, David Henry Mguni, Stefano B. Blumberg, Stephen Marcus McAleer, Yaodong Yang, Jun Wang
2023	J	`jnl`	A survey on algorithms for Nash equilibria in finite normal-form games. CoRR Hanyu Li, Wenhan Huang, Zhijian Duan, David Henry Mguni, Kun Shao, Jun Wang, Xiaotie Deng
2023	J	`jnl`	Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training. CoRR Xidong Feng, Ziyu Wan, Muning Wen, Ying Wen, Weinan Zhang, Jun Wang
2023	A*	`conf`	An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination. NeurIPS Xue Yan, Jiaxian Guo, Xingzhou Lou, Jun Wang, Haifeng Zhang, Yali Du
2023	J	`jnl`	An Empirical Study on Google Research Football Multi-agent Scenarios. CoRR Yan Song, He Jiang, Zheng Tian, Haifeng Zhang, Yingping Zhang, Jiangcheng Zhu, Zonghong Dai, Weinan Zhang, Jun Wang
2023	J	`jnl`	Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models. CoRR Xue Yan, Yan Song, Xinyu Cui, Filippos Christianos, Haifeng Zhang, David Henry Mguni, Jun Wang
2023	J	`jnl`	Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future. CoRR Yan Song, He Jiang, Haifeng Zhang, Zheng Tian, Weinan Zhang, Jun Wang
2023	A*	`conf`	ChessGPT: Bridging Policy Learning and Language Modeling. NeurIPS Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang
2023	J	`jnl`	ChessGPT: Bridging Policy Learning and Language Modeling. CoRR Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang
2023	A*	`conf`	CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation. ICDM Jun Wang, Haoxuan Li, Chi Zhang, Dongxu Liang, Enyun Yu, Wenwu Ou, Wenjia Wang
2023	J	`jnl`	Cross-Utterance Conditioned VAE for Speech Generation. CoRR Yang Li, Cheng Yu, Guangzhi Sun, Weiqin Zu, Zheng Tian, Ying Wen, Wei Pan, Chao Zhang, Jun Wang, Yang Yang, Fanglei Sun
2023	J	`jnl`	Debiased Recommendation with User Feature Balancing. ACM Trans. Inf. Syst. Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen
2023	A*	`conf`	Enhanced Discrete Multi-modal Hashing: More Constraints yet Less Time to Learn (Extended Abstract). ICDE Yong Chen, Hui Zhang, Zhibao Tian, Jun Wang, Dell Zhang, Xuelong Li
2023	A*	`conf`	GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. ICML Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai
2023	J	`jnl`	GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. CoRR Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai
2023	J	`jnl`	GEO: A Computational Design Framework for Automotive Exterior Facelift. ACM Trans. Knowl. Discov. Data Jingmin Huang, Bowei Chen, Zhi Yan, Iadh Ounis, Jun Wang
2023	J	`jnl`	GRD: A Generative Approach for Interpretable Reward Redistribution in Reinforcement Learning. CoRR Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy
2023	A*	`conf`	How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances. EMNLP Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad, Jun Wang
2023	J	`jnl`	How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances. CoRR Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad, Jun Wang
2023	A*	`conf`	Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach. NeurIPS Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy
2023	A*	`conf`	Invariant Learning via Probability of Sufficient and Necessary Causes. NeurIPS Mengyue Yang, Yonggang Zhang, Zhen Fang, Yali Du, Furui Liu, Jean-Francois Ton, Jianhong Wang, Jun Wang
2023	J	`jnl`	Invariant Learning via Probability of Sufficient and Necessary Causes. CoRR Mengyue Yang, Zhen Fang, Yonggang Zhang, Yali Du, Furui Liu, Jean-Francois Ton, Jun Wang
2023	A	`conf`	Is Nash Equilibrium Approximator Learnable? AAMAS Zhijian Duan, Wenhan Huang, Dinghuai Zhang, Yali Du, Jun Wang, Yaodong Yang, Xiaotie Deng
2023	J	`jnl`	JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games. CoRR Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang
2023	J	`jnl`	JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games. Trans. Mach. Learn. Res. Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen Marcus McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang
2023	J	`jnl`	Language and Sketching: An LLM-driven Interactive Multimodal Multitask Robot Navigation Framework. CoRR Weiqin Zu, Wenbin Song, Ruiqing Chen, Ze Guo, Fanglei Sun, Zheng Tian, Wei Pan, Jun Wang
2023	J	`jnl`	Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach. CoRR Weiyu Ma, Qirui Mi, Xue Yan, Yuqiao Wu, Runji Lin, Haifeng Zhang, Jun Wang
2023	J	`jnl`	Large Sequence Models for Sequential Decision-Making: A Survey. CoRR Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Haifeng Zhang, Weinan Zhang
2023	J	`jnl`	Large sequence models for sequential decision-making: a survey. Frontiers Comput. Sci. Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Hai-Feng Zhang, Weinan Zhang
2023	A*	`conf`	Learning to Shape Rewards Using a Game of Two Partners. AAAI David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Wenbin Song, Feifei Tong, Matthew E. Taylor, Tianpei Yang, Zipeng Dai, Hui Chen, Jiangcheng Zhu, Kun Shao, Jun Wang, Yaodong Yang
2023	A*	`conf`	Lending Interaction Wings to Recommender Systems with Conversational Agents. NeurIPS Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang
2023	J	`jnl`	Lending Interaction Wings to Recommender Systems with Conversational Agents. CoRR Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang
2023	J	`jnl`	MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. J. Mach. Learn. Res. Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang
2023	A*	`conf`	MANSA: Learning Fast and Slow in Multi-Agent Systems. ICML David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus McAleer, Feifei Tong, Jun Wang, Yaodong Yang
2023	J	`jnl`	MANSA: Learning Fast and Slow in Multi-Agent Systems. CoRR David Mguni, Taher Jafferjee, Haojun Chen, Jianhong Wang, Long Fei, Xidong Feng, Stephen McAleer, Feifei Tong, Jun Wang, Yaodong Yang
2023	B	`conf`	Minimizing Age of Information for Mobile Edge Computing Systems: A Nested Index Approach. WiOpt Shuo Chen, Ning Yang, Meng Zhang, Jun Wang
2023	J	`jnl`	Minimizing Age of Information for Mobile Edge Computing Systems: A Nested Index Approach. CoRR Shuo Chen, Ning Yang, Meng Zhang, Jun Wang
2023	A*	`conf`	Multi-embodiment Legged Robot Control as a Sequence Modeling Problem. ICRA Chen Yu, Weinan Zhang, Hang Lai, Zheng Tian, Laurent Kneip, Jun Wang
2023	J	`jnl`	Offline Pre-trained Multi-agent Decision Transformer. Mach. Intell. Res. Linghui Meng, Muning Wen, Chenyang Le, Xiyun Li, Dengpeng Xing, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Yaodong Yang, Bo Xu
2023	J	`jnl`	Online Markov decision processes with non-oblivious strategic adversary. Auton. Agents Multi Agent Syst. Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
2023	A*	`conf`	Online PCA in Converging Self-consistent Field Equations. NeurIPS Xihan Li, Xiang Chen, Rasul Tutunov, Haitham Bou-Ammar, Lei Wang, Jun Wang
2023	A*	`conf`	Order Matters: Agent-by-agent Policy Optimization. ICLR Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang
2023	J	`jnl`	Order Matters: Agent-by-agent Policy Optimization. CoRR Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang
2023	A	`conf`	PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. AAMAS Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du
2023	J	`jnl`	PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. CoRR Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du
2023	B	`conf`	PPO-Based Energy-Efficient Power Control and Spectrum Allocation in In-Vehicle HetNets. GLOBECOM Tianyi Lin, Jun Du, Haijun Zhang, Arumugam Nallanathan, Jun Wang
2023	J	`jnl`	Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning. CoRR Filippos Christianos, Georgios Papoudakis, Matthieu Zimmer, Thomas Coste, Zhihao Wu, Jingxuan Chen, Khyati Khandelwal, James Doran, Xidong Feng, Jiacheng Liu, Zheng Xiong, Yicheng Luo, Jianye Hao, Kun Shao, Haitham Bou-Ammar, Jun Wang
2023	A*	`conf`	Rectifying Unfairness in Recommendation Feedback Loop. SIGIR Mengyue Yang, Jun Wang, Jean-Francois Ton
2023	A*	`conf`	Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions. ICRA Desong Du, Shaohang Han, Naiming Qi, Haitham Bou-Ammar, Jun Wang, Wei Pan
2023	J	`jnl`	Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions. CoRR Desong Du, Shaohang Han, Naiming Qi, Haitham Bou-Ammar, Jun Wang, Wei Pan
2023	A	`conf`	Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. CIKM Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang
2023	J	`jnl`	Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. CoRR Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang
2023	A*	`conf`	Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer. ICRA Hang Lai, Weinan Zhang, Xialin He, Chen Yu, Zheng Tian, Yong Yu, Jun Wang
2023	A*	`conf`	Specify Robust Causal Representation from Mixed Observations. KDD Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang
2023	J	`jnl`	Specify Robust Causal Representation from Mixed Observations. CoRR Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang
2023	J	`jnl`	TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-Agent Reinforcement Learning. CoRR Qirui Mi, Siyu Xia, Yan Song, Haifeng Zhang, Shenghao Zhu, Jun Wang
2023	A*	`conf`	Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. ICLR David Henry Mguni, Aivar Sootla, Juliusz Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang
2023	J	`jnl`	Why Can Large Language Models Generate Correct Chain-of-Thoughts? CoRR Rasul Tutunov, Antoine Grosnit, Juliusz Ziomek, Jun Wang, Haitham Bou-Ammar
2022	—	`conf`	A Game-Theoretic Approach to Multi-agent Trust Region Optimization. DAI Ying Wen, Hui Chen, Yaodong Yang, Minne Li, Zheng Tian, Xu Chen, Jun Wang
2022	J	`jnl`	A Review of Safe Reinforcement Learning: Methods, Theory and Applications. CoRR Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Yaodong Yang, Alois C. Knoll
2022	A*	`conf`	A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning. NeurIPS Bo Liu, Xidong Feng, Jie Ren, Luo Mai, Rui Zhu, Haifeng Zhang, Jun Wang, Yaodong Yang
2022	J	`jnl`	A bias-variance evaluation framework for information retrieval systems. Inf. Process. Manag. Peng Zhang, Hui Gao, Zeting Hu, Meng Yang, Dawei Song, Jun Wang, Yuexian Hou, Bin Hu
2022	J	`jnl`	AD-NEGF: An End-to-End Differentiable Quantum Transport Simulator for Sensitivity Analysis and Inverse Problems. CoRR Yingzhanghao Zhou, Xiang Chen, Peng Zhang, Jun Wang, Lei Wang, Hong Guo
2022	J	`jnl`	AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation. CoRR Mohammad Asif Khan, Alexander I. Cowen-Rivers, Derrick-Goh-Xin Deik, Antoine Grosnit, Kamil Dreczkowski, Philippe A. Robert, Victor Greiff, Rasul Tutunov, Dany Bou-Ammar, Jun Wang, Haitham Bou-Ammar
2022	J	`jnl`	AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction. IEEE Trans. Knowl. Data Eng. Niannan Xue, Bin Liu, Huifeng Guo, Ruiming Tang, Fengwei Zhou, Stefanos Zafeiriou, Yuzhou Zhang, Jun Wang, Zhenguo Li
2022	J	`jnl`	BI-GreenNet: Learning Green's functions by boundary integral network. CoRR Guochang Lin, Fukai Chen, Pipi Hu, Xiang Chen, Junqing Chen, Jun Wang, Zuoqiang Shi
2022	A	`conf`	BOiLS: Bayesian Optimisation for Logic Synthesis. DATE Antoine Grosnit, Cédric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou-Ammar
2022	J	`jnl`	Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank. ACM Trans. Inf. Syst. Xinyi Dai, Yunjia Xi, Weinan Zhang, Qing Liu, Ruiming Tang, Xiuqiang He, Jiawei Hou, Jun Wang, Yong Yu
2022	J	`jnl`	Bilevel learning for large-scale flexible flow shop scheduling. Comput. Ind. Eng. Longkang Li, Xiaojin Fu, Hui-Ling Zhen, Mingxuan Yuan, Jun Wang, Jiawen Lu, Xialiang Tong, Jia Zeng, Dirk Schnieders
2022	—	`conf`	Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning. ECML/PKDD (5) Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
2022	J	`jnl`	Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning. CoRR Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
2022	J	`jnl`	Contextual Transformer for Offline Meta Reinforcement Learning. CoRR Runji Lin, Ye Li, Xidong Feng, Zhaowei Zhang, Xian Hong Wu Fung, Haifeng Zhang, Jun Wang, Yali Du, Yaodong Yang
2022	—	`conf`	Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech. ACL (1) Yang Li, Cheng Yu, Guangzhi Sun, Hua Jiang, Fanglei Sun, Weiqin Zu, Ying Wen, Yang Yang, Jun Wang
2022	J	`jnl`	Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech. CoRR Yang Li, Cheng Yu, Guangzhi Sun, Hua Jiang, Fanglei Sun, Weiqin Zu, Ying Wen, Yang Yang, Jun Wang
2022	J	`jnl`	Debiased Recommendation with User Feature Balancing. CoRR Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen
2022	J	`jnl`	Enhanced Discrete Multi-Modal Hashing: More Constraints Yet Less Time to Learn. IEEE Trans. Knowl. Data Eng. Yong Chen, Hui Zhang, Zhibao Tian, Jun Wang, Dell Zhang, Xuelong Li
2022	A*	`conf`	Enhancing Safe Exploration Using Safety State Augmentation. NeurIPS Aivar Sootla, Alexander I. Cowen-Rivers, Jun Wang, Haitham Bou-Ammar
2022	J	`jnl`	Enhancing Safe Exploration Using Safety State Augmentation. CoRR Aivar Sootla, Alexander I. Cowen-Rivers, Jun Wang, Haitham Bou-Ammar
2022	J	`jnl`	Fully Decentralized Model-based Policy Optimization for Networked Systems. CoRR Yali Du, Chengdong Ma, Yuchen Liu, Runji Lin, Hao Dong, Jun Wang, Yaodong Yang
2022	A	`conf`	GCS: Graph-Based Coordination Strategy for Multi-Agent Reinforcement Learning. AAMAS Jingqing Ruan, Yali Du, Xuantang Xiong, Dengpeng Xing, Xiyun Li, Linghui Meng, Haifeng Zhang, Jun Wang, Bo Xu
2022	J	`jnl`	GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning. CoRR Jingqing Ruan, Yali Du, Xuantang Xiong, Dengpeng Xing, Xiyun Li, Linghui Meng, Haifeng Zhang, Jun Wang, Bo Xu
2022	J	`jnl`	Generalizable Information Theoretic Causal Representation. CoRR Mengyue Yang, Xinyu Cai, Furui Liu, Xu Chen, Zhitang Chen, Jianye Hao, Jun Wang
2022	J	`jnl`	HEBO: An Empirical Study of Assumptions in Bayesian Optimisation. J. Artif. Intell. Res. Alexander I. Cowen-Rivers, Wenlong Lyu, Rasul Tutunov, Zhi Wang, Antoine Grosnit, Ryan-Rhys Griffiths, Alexandre Max Maraval, Jianye Hao, Jun Wang, Jan Peters, Haitham Bou-Ammar
2022	J	`jnl`	Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL. CoRR Jakub Grudzien Kuba, Xidong Feng, Shiyao Ding, Hao Dong, Jun Wang, Yaodong Yang
2022	J	`jnl`	Inhomogeneous deep Q-network for time sensitive applications. Artif. Intell. Xu Chen, Jun Wang
2022	—	`conf`	Interactive Fusion Network with Recurrent Attention for Multimodal Aspect-based Sentiment Analysis. CICAI (3) Jun Wang, Qianlong Wang, Zhiyuan Wen, Xingwei Liang, Ruifeng Xu
2022	J	`jnl`	Joint Caching and Transmission in the Mobile Edge Network: A Multi-Agent Learning Approach. CoRR Qirui Mi, Ning Yang, Haifeng Zhang, Haijun Zhang, Jun Wang
2022	A*	`conf`	LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. ICLR David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang
2022	B	`conf`	LPCSE: Neural Speech Enhancement through Linear Predictive Coding. GLOBECOM Yang Liu, Na Tang, Xiaoli Chu, Yang Yang, Jun Wang
2022	J	`jnl`	LPCSE: Neural Speech Enhancement through Linear Predictive Coding. CoRR Yang Liu, Na Tang, Xiaoli Chu, Yang Yang, Jun Wang
2022	J	`jnl`	Learning Risk-Averse Equilibria in Multi-Agent Systems. CoRR Oliver Slumbers, David Henry Mguni, Stephen McAleer, Jun Wang, Yaodong Yang
2022	A*	`conf`	Learning State Representations via Retracing in Reinforcement Learning. ICLR Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess
2022	A*	`conf`	Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. AAAI Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen
2022	J	`jnl`	Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. CoRR Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen
2022	J	`jnl`	Learning to select cuts for efficient mixed-integer programming. Pattern Recognit. Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
2022	A*	`conf`	M2N: Mesh Movement Networks for PDE Solvers. NeurIPS Wenbin Song, Mingrui Zhang, Joseph G. Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew D. Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang
2022	J	`jnl`	M2N: Mesh Movement Networks for PDE Solvers. CoRR Wenbin Song, Mingrui Zhang, Joseph G. Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew D. Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang
2022	A	`conf`	Masked Gradient-Based Causal Structure Learning. SDM Ignavier Ng, Shengyu Zhu, Zhuangyan Fang, Haoyang Li, Zhitang Chen, Jun Wang
2022	J	`jnl`	Measuring the Non-Transitivity in Chess. Algorithms Ricky Sanjaya, Jun Wang, Yaodong Yang
2022	J	`jnl`	Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications. CoRR Fanglei Sun, Yang Li, Ying Wen, Jingchen Hu, Jun Wang, Yang Yang, Kai Li
2022	J	`jnl`	Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications. IEEE Trans. Wirel. Commun. Fanglei Sun, Yang Li, Ying Wen, Jingchen Hu, Jun Wang, Yang Yang, Kai Li
2022	A*	`conf`	Multi-Agent Reinforcement Learning is a Sequence Modeling Problem. NeurIPS Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang
2022	J	`jnl`	Multi-Agent Reinforcement Learning is a Sequence Modeling Problem. CoRR Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang
2022	J	`jnl`	Multi-embodiment Legged Robot Control as a Sequence Modeling Problem. CoRR Chen Yu, Weinan Zhang, Hang Lai, Zheng Tian, Laurent Kneip, Jun Wang
2022	A	`conf`	Multiagent Q-learning with Sub-Team Coordination. AAMAS Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
2022	A*	`conf`	Multiagent Q-learning with Sub-Team Coordination. NeurIPS Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew E. Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
2022	J	`jnl`	On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective. CoRR Ying Wen, Ziyu Wan, Ming Zhou, Shufang Hou, Zhe Cao, Chenyang Le, Jingxiao Chen, Zheng Tian, Weinan Zhang, Jun Wang
2022	A*	`conf`	On the Convergence of Fictitious Play: A Decomposition Approach. IJCAI Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang
2022	J	`jnl`	On the Convergence of Fictitious Play: A Decomposition Approach. CoRR Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang
2022	J	`jnl`	Online Double Oracle. Trans. Mach. Learn. Res. Le Cong Dinh, Stephen Marcus McAleer, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Jun Wang, Haitham Bou-Ammar, Yaodong Yang
2022	A*	`conf`	Optimistic Tree Searches for Combinatorial Black-Box Optimization. NeurIPS Cédric Malherbe, Antoine Grosnit, Rasul Tutunov, Haitham Bou-Ammar, Jun Wang
2022	A*	`conf`	Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. ICML Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang
2022	J	`jnl`	Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. CoRR Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang
2022	A*	`conf`	Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration. ICRA Jiayu Miao, Tianze Zhou, Kun Shao, Ming Zhou, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang
2022	A*	`conf`	Reinforcement Learning in Presence of Discrete Markovian Context Evolution. ICLR Hang Ren, Aivar Sootla, Taher Jafferjee, Junxiao Shen, Jun Wang, Haitham Bou-Ammar
2022	J	`jnl`	Reinforcement Learning in Presence of Discrete Markovian Context Evolution. CoRR Hang Ren, Aivar Sootla, Taher Jafferjee, Junxiao Shen, Jun Wang, Haitham Bou-Ammar
2022	J	`jnl`	SAMBA: safe model-based & active reinforcement learning. Mach. Learn. Alexander I. Cowen-Rivers, Daniel Palenicek, Vincent Moens, Mohammed Amin Abdullah, Aivar Sootla, Jun Wang, Haitham Bou-Ammar
2022	J	`jnl`	SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. CoRR Aivar Sootla, Alexander I. Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Mguni, Jun Wang, Haitham Bou-Ammar
2022	J	`jnl`	SEREN: Knowing When to Explore and When to Exploit. CoRR Changmin Yu, David Mguni, Dong Li, Aivar Sootla, Jun Wang, Neil Burgess
2022	J	`jnl`	Sample-Efficient Optimisation with Probabilistic Transformer Surrogates. CoRR Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Rasul Tutunov, Jun Wang, Haitham Bou-Ammar
2022	A*	`conf`	Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. ICML Aivar Sootla, Alexander I. Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Henry Mguni, Jun Wang, Haitham Ammar
2022	A	`conf`	Scalable Model-based Policy Optimization for Decentralized Networked Systems. IROS Yali Du, Chengdong Ma, Yuchen Liu, Runji Lin, Hao Dong, Jun Wang, Yaodong Yang
2022	J	`jnl`	Self-consistent Gradient-like Eigen Decomposition in Solving Schrödinger Equations. CoRR Xihan Li, Xiang Chen, Rasul Tutunov, Haitham Bou-Ammar, Lei Wang, Jun Wang
2022	J	`jnl`	Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training. CoRR Taher Jafferjee, Juliusz Krysztof Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni
2022	J	`jnl`	Settling the Communication Complexity for Distributed Offline Reinforcement Learning. CoRR Juliusz Krysztof Ziomek, Jun Wang, Yaodong Yang
2022	J	`jnl`	Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer. CoRR Hang Lai, Weinan Zhang, Xialin He, Chen Yu, Zheng Tian, Yong Yu, Jun Wang
2022	J	`jnl`	Structured Q-learning For Antibody Design. CoRR Alexander I. Cowen-Rivers, Philip John Gorinski, Aivar Sootla, Asif Khan, Furui Liu, Jun Wang, Jan Peters, Haitham Bou-Ammar
2022	J	`jnl`	Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. CoRR David Mguni, Aivar Sootla, Juliusz Krysztof Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang
2022	A*	`conf`	Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning. ICLR Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang
2022	A*	`conf`	Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach. ICML Shuang Wu, Ling Shi, Jun Wang, Guangjian Tian
2021	J	`jnl`	A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers. CoRR Chenguang Wang, Yaodong Yang, Oliver Slumbers, Congying Han, Tiande Guo, Haifeng Zhang, Jun Wang
2021	J	`jnl`	A Game-Theoretic Approach to Multi-Agent Trust Region Optimization. CoRR Ying Wen, Hui Chen, Yaodong Yang, Zheng Tian, Minne Li, Xu Chen, Jun Wang
2021	—	`conf`	Adaptive Multi-objective Reinforcement Learning for Pareto Frontier Approximation: A Case Study of Resource Allocation Network in Massive MIMO. EUSIPCO Ruiqing Chen, Fanglei Sun, Liang Chen, Kai Li, Liantao Wu, Jun Wang, Yang Yang
2021	A*	`conf`	An Adversarial Imitation Click Model for Information Retrieval. WWW Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu
2021	J	`jnl`	An Adversarial Imitation Click Model for Information Retrieval. CoRR Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu
2021	J	`jnl`	Are We Forgetting about Compositional Optimisers in Bayesian Optimisation? J. Mach. Learn. Res. Antoine Grosnit, Alexander I. Cowen-Rivers, Rasul Tutunov, Ryan-Rhys Griffiths, Jun Wang, Haitham Bou-Ammar
2021	J	`jnl`	BINet: Learning to Solve Partial Differential Equations with Boundary Integral Networks. CoRR Guochang Lin, Pipi Hu, Fukai Chen, Xiang Chen, Junqing Chen, Jun Wang, Zuoqiang Shi
2021	J	`jnl`	BOiLS: Bayesian Optimisation for Logic Synthesis. CoRR Antoine Grosnit, Cédric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou-Ammar
2021	A	`conf`	CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. CIKM Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang
2021	J	`jnl`	CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. CoRR Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang
2021	A*	`conf`	CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models. CVPR Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang
2021	J	`jnl`	DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention. CoRR David Mguni, Joel Jennings, Taher Jafferjee, Aivar Sootla, Yaodong Yang, Changmin Yu, Usman Islam, Ziyan Wang, Jun Wang
2021	—	`conf`	Deep Reinforcement Learning for Resource Allocation in Massive MIMO. EUSIPCO Liang Chen, Fanglei Sun, Kai Li, Ruiqing Chen, Yang Yang, Jun Wang
2021	J	`jnl`	Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games. CoRR Xidong Feng, Oliver Slumbers, Yaodong Yang, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang
2021	A	`conf`	Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems. AAMAS Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou-Ammar, Jun Wang, Matthew E. Taylor
2021	J	`jnl`	Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems. CoRR Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou-Ammar, Jun Wang, Matthew E. Taylor
2021	J	`jnl`	Efficient Semi-Implicit Variational Inference. CoRR Vincent Moens, Hang Ren, Alexandre Maraval, Rasul Tutunov, Jun Wang, Haitham Ammar
2021	A*	`conf`	Estimating α-Rank from A Few Entries with Low Rank Matrix Completion. ICML Yali Du, Xue Yan, Xu Chen, Jun Wang, Haifeng Zhang
2021	A	`conf`	Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization. CIKM Xihan Li, Xiongwei Han, Zhishuo Zhou, Mingxuan Yuan, Jia Zeng, Jun Wang
2021	J	`jnl`	Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization. CoRR Xihan Li, Xiongwei Han, Zhishuo Zhou, Mingxuan Yuan, Jia Zeng, Jun Wang
2021	J	`jnl`	HeRA: an atlas of enhancer RNAs across human tissues. Nucleic Acids Res. Zhao Zhang, Wei Hong, Hang Ruan, Ying Jing, Shengli Li, Yaoming Liu, Jun Wang, Wenbo Li, Lixia Diao, Leng Han
2021	J	`jnl`	High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning. CoRR Antoine Grosnit, Rasul Tutunov, Alexandre Max Maraval, Ryan-Rhys Griffiths, Alexander I. Cowen-Rivers, Lin Yang, Lin Zhu, Wenlong Lyu, Zhitang Chen, Jun Wang, Jan Peters, Haitham Bou-Ammar
2021	J	`jnl`	Implicit Variational Conditional Sampling with Normalizing Flows. CoRR Vincent Moens, Aivar Sootla, Haitham Bou-Ammar, Jun Wang
2021	B	`conf`	Joint Caching and Transmission in the Mobile Edge Network: An Multi-Agent Learning Approach. GLOBECOM Qirui Mi, Ning Yang, Haifeng Zhang, Haijun Zhang, Jun Wang
2021	J	`jnl`	LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. CoRR David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang
2021	A	`conf`	Learning Correlated Communication Topology in Multi-Agent Reinforcement learning. AAMAS Yali Du, Bo Liu, Vincent Moens, Ziqi Liu, Zhicheng Ren, Jun Wang, Xu Chen, Haifeng Zhang
2021	J	`jnl`	Learning State Representations via Retracing in Reinforcement Learning. CoRR Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess
2021	A*	`conf`	Learning in Nonzero-Sum Stochastic Games with Potentials. ICML David Henry Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang
2021	J	`jnl`	Learning in Nonzero-Sum Stochastic Games with Potentials. CoRR David Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang
2021	J	`jnl`	Learning to Compute Approximate Nash Equilibrium for Normal-form Games. CoRR Zhijian Duan, Yali Du, Jun Wang, Xiaotie Deng
2021	A*	`conf`	Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems. ICDE Xijun Li, Weilin Luo, Mingxuan Yuan, Jun Wang, Jiawen Lu, Jie Wang, Jinhu Lü, Jia Zeng
2021	J	`jnl`	Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems. CoRR Xijun Li, Weilin Luo, Mingxuan Yuan, Jun Wang, Jiawen Lu, Jie Wang, Jinhu Lu, Jia Zeng
2021	J	`jnl`	Learning to Select Cuts for Efficient Mixed-Integer Programming. CoRR Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
2021	J	`jnl`	Learning to Shape Rewards using a Game of Switching Controls. CoRR David Mguni, Jianhong Wang, Taher Jafferjee, Nicolas Perez Nieves, Wenbin Song, Yaodong Yang, Feifei Tong, Hui Chen, Jiangcheng Zhu, Yali Du, Jun Wang
2021	B	`conf`	MAFENN: Multi-Agent Feedback Enabled Neural Network for Wireless Channel Equalization. GLOBECOM Yang Li, Fanglei Sun, Weiqin Zu, Wenbin Song, Ying Wen, Jun Wang, Yang Yang, Kai Li, Liantao Wu
2021	J	`jnl`	MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. CoRR Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Weinan Zhang, Jun Wang
2021	J	`jnl`	Measuring the Non-Transitivity in Chess. CoRR Ricky Sanjaya, Jun Wang, Yaodong Yang
2021	A*	`conf`	Modelling Behavioural Diversity for Learning in Open-Ended Games. ICML Nicolas Perez Nieves, Yaodong Yang, Oliver Slumbers, David Henry Mguni, Ying Wen, Jun Wang
2021	J	`jnl`	Modelling Behavioural Diversity for Learning in Open-Ended Games. CoRR Nicolas Perez Nieves, Yaodong Yang, Oliver Slumbers, David Henry Mguni, Jun Wang
2021	J	`jnl`	Multi-Agent Constrained Policy Optimisation. CoRR Shangding Gu, Jakub Grudzien Kuba, Muning Wen, Ruiqing Chen, Ziyan Wang, Zheng Tian, Jun Wang, Alois C. Knoll, Yaodong Yang
2021	A*	`conf`	Neural Auto-Curricula in Two-Player Zero-Sum Games. NeurIPS Xidong Feng, Oliver Slumbers, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang, Yaodong Yang
2021	J	`jnl`	Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks. CoRR Linghui Meng, Muning Wen, Yaodong Yang, Chenyang Le, Xiyun Li, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Bo Xu
2021	J	`jnl`	On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games. CoRR Xiaotie Deng, Yuhao Li, David Henry Mguni, Jun Wang, Yaodong Yang
2021	J	`jnl`	On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games. Electron. Colloquium Comput. Complex. Xiaotie Deng, Yuhao Li, David Mguni, Jun Wang, Yaodong Yang
2021	J	`jnl`	Online Double Oracle. CoRR Le Cong Dinh, Yaodong Yang, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Haitham Bou-Ammar, Jun Wang
2021	J	`jnl`	Online Markov Decision Processes with Non-oblivious Strategic Adversary. CoRR Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
2021	A*	`conf`	Ordering-Based Causal Discovery with Reinforcement Learning. IJCAI Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang
2021	J	`jnl`	Ordering-Based Causal Discovery with Reinforcement Learning. CoRR Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang
2021	J	`jnl`	PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation. CoRR Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, Yaowei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian
2021	A*	`conf`	Reinforcement Recommendation with User Multi-aspect Preference. WWW Xu Chen, Yali Du, Long Xia, Jun Wang
2021	J	`jnl`	Reinforcement learning control of constrained dynamic systems with uniformly ultimate boundedness stability guarantee. Autom. Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan
2021	—	`conf`	Retrospective Thinking based Multi-Agent System for Wireless Video Transmissions. ICC Yang Li, Fanglei Sun, Wenbin Song, Ying Wen, Kai Li, Jun Wang, Yang Yang
2021	J	`jnl`	Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics. CoRR Yixin Wu, Rui Luo, Chen Zhang, Jun Wang, Yaodong Yang
2021	J	`jnl`	Settling the Bias and Variance of Meta-Gradient Estimation for Meta-Reinforcement Learning. CoRR Bo Liu, Xidong Feng, Haifeng Zhang, Jun Wang, Yaodong Yang
2021	A*	`conf`	Settling the Variance of Multi-Agent Policy Gradients. NeurIPS Jakub Grudzien Kuba, Muning Wen, Linghui Meng, Shangding Gu, Haifeng Zhang, David Mguni, Jun Wang, Yaodong Yang
2021	J	`jnl`	Settling the Variance of Multi-Agent Policy Gradients. CoRR Jakub Grudzien Kuba, Muning Wen, Yaodong Yang, Linghui Meng, Shangding Gu, Haifeng Zhang, David Henry Mguni, Jun Wang
2021	A*	`conf`	State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits. IJCAI Shuang Wu, Jingyu Zhao, Guangjian Tian, Jun Wang
2021	A	`conf`	Top-N Recommendation with Counterfactual User Preference Simulation. CIKM Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang
2021	J	`jnl`	Top-N Recommendation with Counterfactual User Preference Simulation. CoRR Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang
2021	J	`jnl`	Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning. CoRR Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang
2020	A	`conf`	3rd International Workshop on EntitY Retrieval and lEarning (EYRE 2020). CIKM Gong Cheng, Kalpa Gunaratna, Jun Wang
2020	A*	`conf`	A Deep Recurrent Survival Model for Unbiased Ranking. SIGIR Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai
2020	J	`jnl`	A Deep Recurrent Survival Model for Unbiased Ranking. CoRR Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai
2020	J	`jnl`	Actor-Critic Reinforcement Learning for Control With Stability Guarantee. IEEE Robotics Autom. Lett. Minghao Han, Lixian Zhang, Jun Wang, Wei Pan
2020	J	`jnl`	Actor-Critic Reinforcement Learning for Control with Stability Guarantee. CoRR Minghao Han, Lixian Zhang, Jun Wang, Wei Pan
2020	J	`jnl`	An Overview of Multi-Agent Reinforcement Learning from Game Theoretical Perspective. CoRR Yaodong Yang, Jun Wang
2020	J	`jnl`	Are we Forgetting about Compositional Optimisers in Bayesian Optimisation? CoRR Antoine Grosnit, Alexander I. Cowen-Rivers, Rasul Tutunov, Ryan-Rhys Griffiths, Jun Wang, Haitham Bou-Ammar
2020	A*	`conf`	Bi-Level Actor-Critic for Multi-Agent Coordination. AAAI Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang
2020	J	`jnl`	Bilevel Learning Model Towards Industrial Scheduling. CoRR Longkang Li, Hui-Ling Zhen, Mingxuan Yuan, Jiawen Lu, Xialiang Tong, Jia Zeng, Jun Wang, Dirk Schnieders
2020	J	`jnl`	Causal World Models by Unsupervised Deconfounding of Physical Dynamics. CoRR Minne Li, Mengyue Yang, Furui Liu, Xu Chen, Zhitang Chen, Jun Wang
2020	J	`jnl`	CausalVAE: Structured Causal Disentanglement in Variational Autoencoder. CoRR Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang
2020	J	`jnl`	Compositional ADAM: An Adaptive Compositional Solver. CoRR Rasul Tutunov, Minne Li, Jun Wang, Haitham Bou-Ammar
2020	A	`conf`	GREASE: A Generative Model for Relevance Search over Knowledge Graphs. WSDM Tianshuo Zhou, Ziyang Li, Gong Cheng, Jun Wang, Yuang Wei
2020	J	`jnl`	HEBO: Heteroscedastic Evolutionary Bayesian Optimisation. CoRR Alexander I. Cowen-Rivers, Wenlong Lyu, Zhi Wang, Rasul Tutunov, Jianye Hao, Jun Wang, Haitham Bou-Ammar
2020	A*	`conf`	JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation. SIGIR Xu Chen, Changying Du, Xiuqiang He, Jun Wang
2020	A*	`conf`	Learning to Communicate Implicitly by Actions. AAAI Zheng Tian, Shihao Zou, Ian Davies, Tim Warr, Lisheng Wu, Haitham Bou-Ammar, Jun Wang
2020	A	`conf`	Learning to Infer User Hidden States for Online Sequential Advertising. CIKM Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai
2020	J	`jnl`	Learning to Infer User Hidden States for Online Sequential Advertising. CoRR Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai
2020	A*	`conf`	Learning to Model Opponent Learning (Student Abstract). AAAI Ian Davies, Zheng Tian, Jun Wang
2020	J	`jnl`	Learning to Model Opponent Learning. CoRR Ian Davies, Zheng Tian, Jun Wang
2020	A*	`conf`	Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning. IJCAI Ying Wen, Yaodong Yang, Jun Wang
2020	A*	`conf`	Multi-Agent Determinantal Q-Learning. ICML Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Mguni, Weinan Zhang
2020	J	`jnl`	Multi-Agent Determinantal Q-Learning. CoRR Yaodong Yang, Ying Wen, Liheng Chen, Jun Wang, Kun Shao, David Mguni, Weinan Zhang
2020	A*	`conf`	Multi-Agent Interactions Modeling with Correlated Policies. ICLR Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu
2020	J	`jnl`	Multi-Agent Interactions Modeling with Correlated Policies. CoRR Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu
2020	A*	`conf`	Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. AAAI Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao
2020	—	`conf`	Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search. ECCV (7) Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink
2020	J	`jnl`	Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search. CoRR Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink
2020	J	`jnl`	Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee. CoRR Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan
2020	A*	`conf`	Replica-Exchange Nosé-Hoover Dynamics for Bayesian Learning on Large Datasets. NeurIPS Rui Luo, Qiang Zhang, Yaodong Yang, Jun Wang
2020	J	`jnl`	SAMBA: Safe Model-Based & Active Reinforcement Learning. CoRR Alexander I. Cowen-Rivers, Daniel Palenicek, Vincent Moens, Mohammed Amin Abdullah, Aivar Sootla, Jun Wang, Haitham Ammar
2020	Misc	`conf`	SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. CoRL Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat M. Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander I. Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang
2020	J	`jnl`	SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. CoRR Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat M. Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander I. Cowen-Rivers, Zheng Tian, Daniel Palenicek, Haitham Bou-Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang
2020	A	`conf`	Sequential Advertising Agent with Interpretable User Hidden Intents. AAMAS Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai
2020	J	`jnl`	Strongly Constrained Discrete Hashing. IEEE Trans. Image Process. Yong Chen, Zhibao Tian, Hui Zhang, Jun Wang, Dell Zhang
2020	A	`conf`	U-rank: Utility-oriented Learning to Rank with Implicit Feedback. CIKM Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu
2020	J	`jnl`	U-rank: Utility-oriented Learning to Rank with Implicit Feedback. CoRR Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu
2019	A*	`conf`	A Regularized Opponent Model with Maximum Entropy Objective. IJCAI Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang
2019	J	`jnl`	A Regularized Opponent Model with Maximum Entropy Objective. CoRR Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang
2019	A*	`conf`	BayesNAS: A Bayesian Approach for Neural Architecture Search. ICML Hongpeng Zhou, Minghao Yang, Jun Wang, Wei Pan
2019	J	`jnl`	BayesNAS: A Bayesian Approach for Neural Architecture Search. CoRR Hongpeng Zhou, Minghao Yang, Jun Wang, Wei Pan
2019	J	`jnl`	Bi-level Actor-Critic for Multi-agent Coordination. CoRR Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang
2019	A	`conf`	CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. CIKM Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye
2019	J	`jnl`	CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. CoRR Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye
2019	A	`conf`	EYRE 2019: 2nd International Workshop on EntitY REtrieval. CIKM Gong Cheng, Kalpa Gunaratna, Jun Wang
2019	A*	`conf`	Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. WWW Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye
2019	J	`jnl`	Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. CoRR Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Zhichen Gong, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye
2019	—	`conf`	Factorized Q-learning for large-scale multi-agent systems. DAI Ming Zhou, Yong Chen, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang
2019	J	`jnl`	Fog Services and Enabling Technologies. IEEE Commun. Mag. Yang Yang, Tao Zhang, Jun Wang, Nanxi Chen, Rhonda A. Dirvin
2019	J	`jnl`	GREASE: A Generative Model for Relevance Search over Knowledge Graphs. CoRR Tianshuo Zhou, Ziyang Li, Gong Cheng, Jun Wang, Yuang Wei
2019	J	`jnl`	H CoRR Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan
2019	J	`jnl`	Infer Your Enemies and Know Yourself, Learning in Real-Time Bidding with Partially Observable Opponents. CoRR Manxing Du, Alexander I. Cowen-Rivers, Ying Wen, Phu Sakulwongtana, Jun Wang, Mats Brorsson, Radu State
2019	—	`conf`	Know Your Enemies and Know Yourself in the Real-Time Bidding Function Optimisation. ICDM Workshops Manxing Du, Alexander I. Cowen-Rivers, Ying Wen, Phu Sakulwongtana, Jun Wang, Mats Brorsson, Radu State
2019	J	`jnl`	Layout Design for Intelligent Warehouse by Evolution With Fitness Approximation. IEEE Access Haifeng Zhang, Zilong Guo, Weinan Zhang, Han Cai, Chris Wang, Yong Yu, Wenxin Li, Jun Wang
2019	A	`conf`	Learning Adaptive Display Exposure for Real-Time Advertising. CIKM Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai
2019	A	`conf`	Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. CIKM Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai
2019	J	`jnl`	Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. CoRR Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai
2019	J	`jnl`	MANAS: Multi-Agent Neural Architecture Search. CoRR Fabio Maria Carlucci, Pedro M. Esperança, Marco Singh, Victor Gabillon, Antoine Yang, Hang Xu, Zewei Chen, Jun Wang
2019	A	`conf`	MarlRank: Multi-agent Reinforced Learning to Rank. CIKM Shihao Zou, Zhonghua Li, Mohammad Akbari, Jun Wang, Peng Zhang
2019	J	`jnl`	MarlRank: Multi-agent Reinforced Learning to Rank. CoRR Shihao Zou, Zhonghua Li, Mohammad Akbari, Jun Wang, Peng Zhang
2019	—	`conf`	Modeling User Return Time Using Inhomogeneous Poisson Process. ECIR (2) Mohammad Akbari, Alberto Cetoli, Stefano Bragaglia, Andrew D. O'Harney, Marc Sloan, Jun Wang
2019	J	`jnl`	Multi-Agent Generalized Recursive Reasoning. CoRR Ying Wen, Yaodong Yang, Rui Lu, Jun Wang
2019	A*	`conf`	Multi-View Reinforcement Learning. NeurIPS Minne Li, Lisheng Wu, Jun Wang, Haitham Bou-Ammar
2019	J	`jnl`	Multi-View Reinforcement Learning. CoRR Minne Li, Lisheng Wu, Haitham Bou-Ammar, Jun Wang
2019	J	`jnl`	Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. CoRR Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao
2019	—	`conf`	Neural Variational Inference For Estimating Knowledge Graph Embedding Uncertainty. NeSy@IJCAI Alexander I. Cowen-Rivers, Pasquale Minervini, Sebastian Riedel, Tim Rocktäschel, Jun Wang, Matko Bosnjak
2019	J	`jnl`	Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings. CoRR Alexander I. Cowen-Rivers, Pasquale Minervini, Tim Rocktäschel, Matko Bosnjak, Sebastian Riedel, Jun Wang
2019	J	`jnl`	Optimizing Object-based Perception and Control by Free-Energy Principle. CoRR Minne Li, Pranav Nashikkar, Jun Wang
2019	—	`conf`	Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning. ICLR (Poster) Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan
2019	J	`jnl`	Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning. CoRR Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan
2019	—	`ed.`	Proceedings of the 2nd International Workshop on EntitY REtrieval co-located with 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), Beijing, China, November 3, 2019. EYRE@CIKM Gong Cheng, Kalpa Gunaratna, Jun Wang
2019	J	`jnl`	Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets. CoRR Rui Luo, Qiang Zhang, Yaodong Yang, Jun Wang
2019	J	`jnl`	Wasserstein Robust Reinforcement Learning. CoRR Mohammed Amin Abdullah, Hang Ren, Haitham Bou-Ammar, Vladimir Milenkovic, Rui Luo, Mingtian Zhang, Jun Wang
2019	J	`jnl`	基于四元数小波变换和Copula模型的图像融合 (Image Fusion Using Quaternion Wavelet Transform and Copula Model). 计算机科学 Kai Li, Xiaoqing Luo, Zhancheng Zhang, Jun Wang
2018	A*	`conf`	A Neural Stochastic Volatility Model. AAAI Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang
2018	A	`conf`	A Study of AI Population Dynamics with Million-agent Reinforcement Learning. AAMAS Yaodong Yang, Lantao Yu, Yiwei Bai, Ying Wen, Weinan Zhang, Jun Wang
2018	—	`conf`	Activation Maximization Generative Adversarial Nets. ICLR (Poster) Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu
2018	J	`jnl`	Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising. CoRR Kan Ren, Weinan Zhang, Ke Chang, Yifei Rong, Yong Yu, Jun Wang
2018	J	`jnl`	Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising. IEEE Trans. Knowl. Data Eng. Kan Ren, Weinan Zhang, Ke Chang, Yifei Rong, Yong Yu, Jun Wang
2018	J	`jnl`	DEBTS: Delay Energy Balanced Task Scheduling in Homogeneous Fog Networks. IEEE Internet Things J. Yang Yang, Shuang Zhao, Wuxiong Zhang, Yu Chen, Xiliang Luo, Jun Wang
2018	J	`jnl`	DECCO: Deep-Learning Enabled Coverage and Capacity Optimization for Massive MIMO Systems. IEEE Access Yang Yang, Yang Li, Kai Li, Shuang Zhao, Rui Chen, Jun Wang, Song Ci
2018	A*	`conf`	Efficient Architecture Search by Network Transformation. AAAI Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang
2018	A*	`conf`	Explanation Mining: Post Hoc Interpretability of Latent Factor Models for Recommendation Systems. KDD Georgina Peake, Jun Wang
2018	J	`jnl`	Factorized Q-Learning for Large-Scale Multi-Agent Systems. CoRR Yong Chen, Ming Zhou, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang, Han Liu
2018	J	`jnl`	Layout Design for Intelligent Warehouse by Evolution with Fitness Approximation. CoRR Haifeng Zhang, Zilong Guo, Han Cai, Chris Wang, Weinan Zhang, Yong Yu, Wenxin Li, Jun Wang
2018	J	`jnl`	Learning Multi-agent Implicit Communication Through Actions: A Case Study in Contract Bridge, a Collaborative Imperfect-Information Game. CoRR Zheng Tian, Shihao Zou, Tim Warr, Lisheng Wu, Jun Wang
2018	A	`conf`	Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising. CIKM Kan Ren, Yuchen Fang, Weinan Zhang, Shuhao Liu, Jiajun Li, Ya Zhang, Yong Yu, Jun Wang
2018	J	`jnl`	Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising. CoRR Kan Ren, Yuchen Fang, Weinan Zhang, Shuhao Liu, Jiajun Li, Ya Zhang, Yong Yu, Jun Wang
2018	J	`jnl`	Learning Shared Dynamics with Meta-World Models. CoRR Lisheng Wu, Minne Li, Jun Wang
2018	J	`jnl`	Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning. CoRR Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Yixi Wang, Han Li, Jian Xu, Kun Gai
2018	A*	`conf`	Learning to Design Games: Strategic Environments in Reinforcement Learning. IJCAI Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Yin Wen, Yong Yu, Wenxin Li
2018	A*	`conf`	Long Text Generation via Adversarial Training with Leaked Information. AAAI Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang
2018	A*	`conf`	MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence. AAAI Lianmin Zheng, Jiacheng Yang, Han Cai, Ming Zhou, Weinan Zhang, Jun Wang, Yong Yu
2018	A*	`conf`	Mean Field Multi-Agent Reinforcement Learning. ICML Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang
2018	J	`jnl`	Mean Field Multi-Agent Reinforcement Learning. CoRR Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang
2018	J	`jnl`	Neural Text Generation: Past, Present and Beyond. CoRR Sidi Lu, Yaoming Zhu, Weinan Zhang, Jun Wang, Yong Yu
2018	Misc	`conf`	On the Equilibrium of Query Reformulation and Document Retrieval. ICTIR Shihao Zou, Guanyu Tao, Jun Wang, Weinan Zhang, Dell Zhang
2018	J	`jnl`	On the Equilibrium of Query Reformulation and Document Retrieval. CoRR Shihao Zou, Guanyu Tao, Jun Wang, Weinan Zhang, Dell Zhang
2018	A	`conf`	Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising. CIKM Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang
2018	J	`jnl`	Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising. CoRR Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang
2018	A*	`conf`	Texygen: A Benchmarking Platform for Text Generation Models. SIGIR Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, Yong Yu
2018	J	`jnl`	Texygen: A Benchmarking Platform for Text Generation Models. CoRR Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, Yong Yu
2018	A*	`conf`	Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning. NeurIPS Rui Luo, Jianhong Wang, Yaodong Yang, Jun Wang, Zhanxing Zhu
2017	J	`jnl`	A Neural Stochastic Volatility Model. CoRR Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang
2017	J	`jnl`	An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning. CoRR Yaodong Yang, Lantao Yu, Yiwei Bai, Jun Wang, Weinan Zhang, Ying Wen, Yong Yu
2017	A	`conf`	Content Recommendation by Noise Contrastive Transfer Learning of Feature Representation. CIKM Yiyang Li, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang
2017	J	`jnl`	Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting. Found. Trends Inf. Retr. Jun Wang, Weinan Zhang, Shuai Yuan
2017	A*	`conf`	Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration. KDD Xuejian Wang, Lantao Yu, Kan Ren, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang
2017	J	`jnl`	Generative Adversarial Nets with Labeled Data by Activation Maximization. CoRR Zhiming Zhou, Shu Rong, Han Cai, Weinan Zhang, Yong Yu, Jun Wang
2017	A*	`conf`	IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models. SIGIR Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang
2017	J	`jnl`	IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models. CoRR Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang
2017	J	`jnl`	Learning to Design Games: Strategic Environments in Deep Reinforcement Learning. CoRR Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Ying Wen, Yong Yu, Wenxin Li
2017	J	`jnl`	Long Text Generation via Adversarial Training with Leaked Information. CoRR Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang
2017	J	`jnl`	MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence. CoRR Lianmin Zheng, Jiacheng Yang, Han Cai, Weinan Zhang, Jun Wang, Yong Yu
2017	A	`conf`	Managing Risk of Bidding in Display Advertising. WSDM Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang
2017	J	`jnl`	Managing Risk of Bidding in Display Advertising. CoRR Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang
2017	J	`jnl`	Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games. CoRR Peng Peng, Quan Yuan, Ying Wen, Yaodong Yang, Zhenkun Tang, Haitao Long, Jun Wang
2017	A	`conf`	Real-Time Bidding by Reinforcement Learning in Display Advertising. WSDM Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo
2017	J	`jnl`	Real-Time Bidding by Reinforcement Learning in Display Advertising. CoRR Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo
2017	J	`jnl`	Reinforcement Learning for Architecture Search by Network Transformation. CoRR Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang
2017	A*	`conf`	SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. AAAI Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu
2016	J	`jnl`	A Term-Based Methodology for Query Reformulation Understanding. CoRR Marc Sloan, Hui Yang, Jun Wang
2016	J	`jnl`	A Theoretical Analysis of Two-Stage Recommendation for Cold-Start Collaborative Filtering. CoRR Xiaoxue Zhao, Jun Wang
2016	A*	`conf`	Bayesian Performance Comparison of Text Classifiers. SIGIR Dell Zhang, Jun Wang, Emine Yilmaz, Xiaoling Wang, Yuxin Zhou
2016	A*	`conf`	Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising. KDD Weinan Zhang, Tianxiong Zhou, Jun Wang, Jian Xu
2016	A	`conf`	Deep Learning over Multi-field Categorical Data - - A Case Study on User Response Prediction. ECIR Weinan Zhang, Tianming Du, Jun Wang
2016	J	`jnl`	Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction. CoRR Weinan Zhang, Tianming Du, Jun Wang
2016	J	`jnl`	Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting. CoRR Jun Wang, Weinan Zhang, Shuai Yuan
2016	—	`book`	Dynamic Information Retrieval Modeling Grace Hui Yang, Marc Sloan, Jun Wang
2016	J	`jnl`	Dynamic Information Retrieval: Theoretical Framework and Application. CoRR Marc Sloan, Jun Wang
2016	J	`jnl`	Feature Selection as a Multiagent Coordination Problem. CoRR Kleanthis Malialis, Jun Wang, Gary Brooks, George Frangou
2016	A	`conf`	Feedback Control of Real-Time Display Advertising. WSDM Weinan Zhang, Yifei Rong, Jun Wang, Tianchi Zhu, Xiaofan Wang
2016	J	`jnl`	Feedback Control of Real-Time Display Advertising. CoRR Weinan Zhang, Yifei Rong, Jun Wang, Tianchi Zhu, Xiaofan Wang
2016	—	`conf`	Functional Bid Landscape Forecasting for Display Advertising. ECML/PKDD (1) Yuchen Wang, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu
2016	A	`conf`	Implicit Look-Alike Modelling in Display Ads - Transfer Collaborative Filtering to CTR Estimation. ECIR Weinan Zhang, Lingxi Chen, Jun Wang
2016	J	`jnl`	Implicit Look-alike Modelling in Display Ads: Transfer Collaborative Filtering to CTR Estimation. CoRR Weinan Zhang, Lingxi Chen, Jun Wang
2016	J	`jnl`	Learning text representation using recurrent convolutional neural network with highway layers. CoRR Ying Wen, Weinan Zhang, Rui Luo, Jun Wang
2016	J	`jnl`	Optimal Real-Time Bidding Frameworks Discussion. CoRR Weinan Zhang, Kan Ren, Jun Wang
2016	A*	`conf`	Product-Based Neural Networks for User Response Prediction. ICDM Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang
2016	J	`jnl`	Product-based Neural Networks for User Response Prediction. CoRR Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang
2016	A	`conf`	Real-Time Bidding Based Display Advertising: Mechanisms and Algorithms. ECIR Jun Wang, Shuai Yuan, Weinan Zhang
2016	—	`conf`	Resource Allocation Based on Double Auction for Cloud Computing System. HPCC/SmartCity/DSS Lei Xu, Jun Wang, Arumugam Nallanathan, Yaping Li
2016	J	`jnl`	SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. CoRR Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu
2016	A	`conf`	User Response Learning for Directly Optimizing Campaign Performance in Display Advertising. CIKM Kan Ren, Weinan Zhang, Yifei Rong, Haifeng Zhang, Yong Yu, Jun Wang
2016	—	`conf`	Value at Risk for Risk Evaluation in Information Retrieval. NLPCC/ICCPOL Meijia Wang, Peng Zhang, Dawei Song, Jun Wang
2015	A*	`conf`	A Bayesian Hierarchical Model for Comparing Average F1 Scores. ICDM Dell Zhang, Jun Wang, Xiaoxue Zhao, Xiaoling Wang
2015	Misc	`conf`	A Theoretical Analysis of Two-Stage Recommendation for Cold-Start Collaborative Filtering. ICTIR Xiaoxue Zhao, Jun Wang
2015	J	`jnl`	A lattice framework for pricing display advertisement options with the stochastic volatility underlying model. Electron. Commer. Res. Appl. Bowei Chen, Jun Wang
2015	J	`jnl`	A term-based methodology for query reformulation understanding. Inf. Retr. J. Marc Sloan, Hui Yang, Jun Wang
2015	J	`jnl`	An Empirical Study on Display Ad Impression Viewability Measurements. CoRR Weinan Zhang, Ye Pan, Tianxiong Zhou, Jun Wang
2015	A	`conf`	Document Boltzmann Machines for Information Retrieval. ECIR Qian Yu, Peng Zhang, Yuexian Hou, Dawei Song, Jun Wang
2015	A	`conf`	Dynamic Information Retrieval Modeling. WSDM Hui Yang, Marc Sloan, Jun Wang
2015	Misc	`conf`	Dynamic Information Retrieval: Theoretical Framework and Application. ICTIR Marc Sloan, Jun Wang
2015	Misc	`conf`	Estimating the Uncertainty of Average F1 Scores. ICTIR Dell Zhang, Jun Wang, Xiaoxue Zhao
2015	J	`jnl`	Multi-Keyword Multi-Click Advertisement Option Contracts for Sponsored Search. ACM Trans. Intell. Syst. Technol. Bowei Chen, Jun Wang, Ingemar J. Cox, Mohan S. Kankanhalli
2015	A	`conf`	Real-Time Bidding: A New Frontier of Computational Advertising Research. WSDM Jun Wang, Shuai Yuan
2015	J	`jnl`	Resource allocation algorithm based on hybrid particle swarm optimization for multiuser cognitive OFDM network. Expert Syst. Appl. Lei Xu, Jun Wang, Yaping Li, Qianmu Li, Xiaofei Zhang
2015	A	`conf`	Risk-Hedged Venture Capital Investment Recommendation. RecSys Xiaoxue Zhao, Weinan Zhang, Jun Wang
2015	A*	`conf`	Statistical Arbitrage Mining for Display Advertising. KDD Weinan Zhang, Jun Wang
2015	J	`jnl`	Statistical Arbitrage Mining for Display Advertising. CoRR Weinan Zhang, Jun Wang
2014	—	`conf`	A Dynamic Pricing Model for Unifying Programmatic Guarantee and Real-Time Bidding in Display Advertising. ADKDD@KDD Bowei Chen, Shuai Yuan, Jun Wang
2014	J	`jnl`	A Dynamic Pricing Model for Unifying Programmatic Guarantee and Real-Time Bidding in Display Advertising. CoRR Bowei Chen, Shuai Yuan, Jun Wang
2014	J	`jnl`	A Lattice Framework for Pricing Display Ad Options with the Stochastic Volatility Underlying Model. CoRR Bowei Chen, Jun Wang
2014	A*	`conf`	An empirical study of reserve price optimisation in real-time bidding. KDD Shuai Yuan, Jun Wang, Bowei Chen, Peter Mason, Sam Seljan
2014	J	`jnl`	Bias-variance analysis in estimating true query model for information retrieval. Inf. Process. Manag. Peng Zhang, Dawei Song, Jun Wang, Yuexian Hou
2014	A*	`conf`	Dynamic information retrieval modeling. SIGIR Hui Yang, Marc Sloan, Jun Wang
2014	A	`conf`	Generalized Bias-Variance Evaluation of TREC Participated Systems. CIKM Peng Zhang, Linxue Hao, Dawei Song, Jun Wang, Yuexian Hou, Bin Hu
2014	J	`jnl`	Introduction to the Special Issue on Diversity and Discovery in Recommender Systems. ACM Trans. Intell. Syst. Technol. Pablo Castells, Jun Wang, Rubén Lara, Dell Zhang
2014	A*	`conf`	Optimal real-time bidding for display advertising. KDD Weinan Zhang, Shuai Yuan, Jun Wang
2014	J	`jnl`	Real-Time Bidding Benchmarking with iPinYou Dataset. CoRR Weinan Zhang, Shuai Yuan, Jun Wang
2013	A*	`conf`	Bias-variance decomposition of ir evaluation. SIGIR Peng Zhang, Dawei Song, Jun Wang, Yuexian Hou
2013	J	`jnl`	Bridging memory-based collaborative filtering and text retrieval. Inf. Retr. Alejandro Bellogín, Jun Wang, Pablo Castells
2013	A	`conf`	Interactive collaborative filtering. CIKM Xiaoxue Zhao, Weinan Zhang, Jun Wang
2013	A*	`conf`	Interactive exploratory search for multi page search results. WWW Xiaoran Jin, Marc Sloan, Jun Wang
2013	J	`jnl`	Iterative Expectation for Multi Period Information Retrieval CoRR Marc Sloan, Jun Wang
2013	J	`jnl`	Multi-Keyword Multi-Click Option Contracts for Sponsored Search Advertising. CoRR Bowei Chen, Jun Wang, Ingemar J. Cox, Mohan S. Kankanhalli
2013	A*	`conf`	Optimizing top-n collaborative filtering via dynamic negative item sampling. SIGIR Weinan Zhang, Tianqi Chen, Jun Wang, Yong Yu
2013	A*	`conf`	Probabilistic group recommendation via information matching. WWW Jagadeesh Gorla, Neal Lathia, Stephen Robertson, Jun Wang
2013	J	`jnl`	Real-time Bidding for Online Advertising: Measurement and Analysis. CoRR Shuai Yuan, Jun Wang, Xiaoxue Zhao
2013	—	`conf`	Real-time bidding for online advertising: measurement and analysis. AdKDD@KDD Shuai Yuan, Jun Wang, Xiaoxue Zhao
2013	A	`conf`	To personalize or not: a risk management perspective. RecSys Weinan Zhang, Jun Wang, Bowei Chen, Xiaoxue Zhao
2012	A	`conf`	2nd international workshop on diversity in document retrieval (DDR 2012). WSDM Craig Macdonald, Jun Wang, Charles L. A. Clarke
2012	J	`jnl`	A Theory of Information Matching CoRR Jagadeesh Gorla, Stephen Robertson, Jun Wang, Tamas Jambor
2012	A*	`conf`	Adaptive diversification of recommendation results via latent factor portfolio. SIGIR Yue Shi, Xiaoxue Zhao, Jun Wang, Martha A. Larson, Alan Hanjalic
2012	—	`conf`	Dynamical information retrieval modelling: a portfolio-armed bandit machine approach. WWW (Companion Volume) Marc Sloan, Jun Wang
2012	J	`jnl`	Internet Advertising: An Interplay among Advertisers, Online Publishers, Ad Exchanges and Web Users CoRR Shuai Yuan, Ahmad Zainal Abidin, Marc Sloan, Jun Wang
2012	—	`conf`	Precoding with Known Transmit Coupling and Spatial Covariance Matrices. VTC Spring Jinhui Chen, Wei Fang, Fanglei Sun, Peng Shang, Jun Wang
2012	—	`conf`	Selling futures online advertising slots via option contracts. WWW (Companion Volume) Jun Wang, Bowei Chen
2012	A	`conf`	Sequential selection of correlated ads by POMDPs. CIKM Shuai Yuan, Jun Wang
2012	A	`conf`	Top-k Retrieval Using Facility Location Analysis. ECIR Guido Zuccon, Leif Azzopardi, Dell Zhang, Jun Wang
2012	A*	`conf`	Using control theory for stable and efficient recommender systems. WWW Tamas Jambor, Jun Wang, Neal Lathia
2011	J	`jnl`	A Unified Relevance Retrieval Model by Eliteness Hypothesis CoRR Jagadeesh Gorla, Stephen Robertson, Jun Wang
2011	—	`conf`	Contextual Image Annotation via Projection and Quantum Theory Inspired Measurement for Integration of Text and Visual Features. QI Leszek Kaliciak, Jun Wang, Dawei Song, Peng Zhang, Yuexian Hou
2011	—	`conf`	On Modeling Rank-Independent Risk in Estimating Probability of Relevance. AIRS Peng Zhang, Dawei Song, Jun Wang, Xiaozhao Zhao, Yuexian Hou
2011	—	`ed.`	Proceedings of the Workshop on Novelty and Diversity in Recommender Systems, DiveRS 2011, at the 5 DiveRS@RecSys Pablo Castells, Jun Wang, Rubén Lara, Dell Zhang
2011	A	`conf`	Statistical information retrieval modelling: from the probability ranking principle to recent advances in diversity, portfolio theory, and beyond. CIKM Jun Wang, Kevyn Collins-Thompson
2011	A	`conf`	Structured collaborative filtering. CIKM Alejandro Bellogín, Jun Wang, Pablo Castells
2011	A	`conf`	Text Retrieval Methods for Item Ranking in Collaborative Filtering. ECIR Alejandro Bellogín, Jun Wang, Pablo Castells
2011	J	`jnl`	The 1st international workshop on diversity in document retrieval. SIGIR Forum Craig Macdonald, Charles L. A. Clarke, Jun Wang
2011	A	`conf`	Workshop on novelty and diversity in recommender systems - DiveRS 2011. RecSys Pablo Castells, Jun Wang, Rubén Lara, Dell Zhang
2010	—	`conf`	Automata Modeling for Cognitive Interference in Users' Relevance Judgment. AAAI Fall Symposium: Quantum Informatics for Cognitive, Social, and Semantic Processes Peng Zhang, Dawei Song, Yuexian Hou, Jun Wang, Peter Bruza
2010	—	`conf`	Explanation of Relevance Judgement Discrepancy with Quantum Interference. AAAI Fall Symposium: Quantum Informatics for Cognitive, Social, and Semantic Processes Jun Wang, Dawei Song, Peng Zhang, Yuexian Hou, Peter Bruza
2010	A	`conf`	Goal-Driven Collaborative Filtering - A Directional Error Based Approach. ECIR Tamas Jambor, Jun Wang
2010	—	`conf`	How Quantum Theory Is Developing the Field of Information Retrieval. AAAI Fall Symposium: Quantum Informatics for Cognitive, Social, and Semantic Processes Dawei Song, Mounia Lalmas, Keith van Rijsbergen, Ingo Frommholz, Benjamin Piwowarski, Jun Wang, Peng Zhang, Guido Zuccon, Peter Bruza, Sachi Arafat, Leif Azzopardi, Emanuele Di Buccio, Alvaro Francisco Huertas-Rosero, Yuexian Hou, Massimo Melucci, Stefan M. Rüger
2010	A	`conf`	Laplacian Co-hashing of Terms and Documents. ECIR Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu
2010	A*	`conf`	On statistical analysis and optimization of information retrieval effectiveness metrics. SIGIR Jun Wang, Jianhan Zhu
2010	A	`conf`	Optimizing multiple objectives in collaborative filtering. RecSys Tamas Jambor, Jun Wang
2010	J	`jnl`	Personalization of tagging systems. Inf. Process. Manag. Jun Wang, Maarten Clements, Jie Yang, Arjen P. de Vries, Marcel J. T. Reinders
2010	—	`conf`	RGU at ImageCLEF2010 Wikipedia Retrieval Task. CLEF (Notebook Papers/LABs/Workshops) Jun Wang, Dawei Song, Leszek Kaliciak
2010	J	`jnl`	Self-Taught Hashing for Fast Similarity Search CoRR Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu
2010	A*	`conf`	Self-taught hashing for fast similarity search. SIGIR Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu
2010	—	`conf`	Tensor Product of Correlated Textual and Visual Features: A Quantum Theory Inspired Image Retrieval Framework. AAAI Fall Symposium: Quantum Informatics for Cognitive, Social, and Semantic Processes Jun Wang, Dawei Song, Leszek Kaliciak
2009	A	`conf`	Bridging the gap: complex networks meet information and knowledge management. CIKM Jun Wang, Shi Zhou, Dell Zhang
2009	—	`conf`	Language Models of Collaborative Filtering. AIRS Jun Wang
2009	A	`conf`	Mean-Variance Analysis: A New Document Ranking Theory in Information Retrieval. ECIR Jun Wang
2009	—	`ch.`	Personalization on a Peer-to-Peer Television System. Handbook of Multimedia for Digital Entertainment and Arts Jun Wang, Johan Pouwelse, Jenneke Fokker, Arjen P. de Vries, Marcel J. T. Reinders
2009	A*	`conf`	Portfolio theory of information retrieval. SIGIR Jun Wang, Jianhan Zhu
2009	—	`ed.`	Proceeding of the ACM First International Workshop on Complex Networks Meet Information & Knowledge Management, CIKM-CNIKM 2009, Hong Kong, China, November 6, 2009 CIKM-CNIKM Jun Wang, Shi Zhou, Dell Zhang
2009	A	`conf`	Risk-Aware Information Retrieval. ECIR Jianhan Zhu, Jun Wang, Michael J. Taylor, Ingemar J. Cox
2009	A*	`conf`	Risky business: modeling and exploiting uncertainty in information retrieval. SIGIR Jianhan Zhu, Jun Wang, Ingemar J. Cox, Michael J. Taylor
2009	A*	`conf`	Topic (query) selection for IR evaluation. SIGIR Jianhan Zhu, Jun Wang, Vishwa Vinay, Ingemar J. Cox
2008	C	`conf`	Generation of Query-Biased Concepts Using Content and Structure for Query Reformulation. NLDB Youjin Chang, Jun Wang, Mounia Lalmas
2008	J	`jnl`	Personalization on a peer-to-peer television system. Multim. Tools Appl. Jun Wang, Johan A. Pouwelse, Jenneke Fokker, Arjen P. de Vries, Marcel J. T. Reinders
2008	J	`jnl`	Probabilistic relevance ranking for collaborative filtering. Inf. Retr. Jun Wang, Stephen Robertson, Arjen P. de Vries, Marcel J. T. Reinders
2008	J	`jnl`	TRIBLER: a social-based peer-to-peer system. Concurr. Comput. Pract. Exp. Johan A. Pouwelse, Pawel Garbacki, Jun Wang, Arno Bakker, Jie Yang, Alexandru Iosup, Dick H. J. Epema, Marcel J. T. Reinders, Maarten van Steen, Henk J. Sips
2008	J	`jnl`	Unified relevance models for rating prediction in collaborative filtering. ACM Trans. Inf. Syst. Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
2008	—	`ch.`	Wi-Fi Walkman. Encyclopedia of Wireless and Mobile Communications Arjen P. de Vries, Marcel J. T. Reinders, Jun Wang
2006	A	`conf`	A User-Item Relevance Model for Log-Based Collaborative Filtering. ECIR Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
2006	Misc	`conf`	Distributed collaborative filtering for peer-to-peer file sharing systems. SAC Jun Wang, Johan A. Pouwelse, Reginald L. Lagendijk, Marcel J. T. Reinders
2006	J	`jnl`	Experiential Sampling in Multimedia Systems. IEEE Trans. Multim. Mohan S. Kankanhalli, Jun Wang, Ramesh C. Jain
2006	J	`jnl`	Experiential Sampling on Multiple Data Streams. IEEE Trans. Multim. Mohan S. Kankanhalli, Jun Wang, Ramesh C. Jain
2006	—	`conf`	Tribler: A Social-Based Peer-to-Peer System. IPTPS Johan A. Pouwelse, Pawel Garbacki, Jun Wang, Arno Bakker, Jie Yang, Alexandru Iosup, Dick H. J. Epema, Marcel J. T. Reinders, Maarten van Steen, Henk J. Sips
2006	A*	`conf`	Unifying user-based and item-based collaborative filtering approaches by similarity fusion. SIGIR Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
2005	J	`jnl`	Analogies based video editing. Multim. Syst. Wei-Qi Yan, Mohan S. Kankanhalli, Jun Wang
2005	J	`jnl`	Automatic video logo detection and removal. Multim. Syst. Wei-Qi Yan, Jun Wang, Mohan S. Kankanhalli
2005	A*	`conf`	Self-organizing distributed collaborative filtering. SIGIR Jun Wang, Marcel J. T. Reinders, Reginald L. Lagendijk, Johan A. Pouwelse
2004	A	`conf`	Video content representation on tiny devices. ICME Jun Wang, Marcel J. T. Reinders, Reginald L. Lagendijk, Jasper Lindenberg, Mohan S. Kankanhalli
2003	—	`conf`	A hierarchical framework for face tracking using state vector fusion for compressed video. ICASSP (3) Jun Wang, Radhakrishna S. V. Achanta, Mohan S. Kankanhalli, Philippe Mulhem
2003	A*	`conf`	Experience based sampling technique for multimedia analysis. ACM Multimedia Jun Wang, Mohan S. Kankanhalli
2003	—	`conf`	Experiential sampling for monitoring. ETP@MM Wei Qi Yan, Mohan S. Kankanhalli, Jun Wang, Marcel J. T. Reinders