A hierarchical framework for face tracking using state vector fusion for compressed video. - Jun Wang 012; Radhakrishna S. V. Achanta; Mohan S. Kankanhalli; Philippe Mulhem (ICASSP (3), 2003)

Experiential sampling for monitoring. - Wei Qi Yan 001; Mohan S. Kankanhalli; Jun Wang 012; Marcel J. T. Reinders (ETP@MM, 2003)

Experience based sampling technique for multimedia analysis. - Jun Wang 012; Mohan S. Kankanhalli (ACM Multimedia, 2003)

Video content representation on tiny devices. - Jun Wang 012; Marcel J. T. Reinders; Reginald L. Lagendijk; Jasper Lindenberg; Mohan S. Kankanhalli (ICME, 2004)

Self-organizing distributed collaborative filtering. - Jun Wang 012; Marcel J. T. Reinders; Reginald L. Lagendijk; Johan A. Pouwelse (SIGIR, 2005)

Analogies based video editing. - Wei-Qi Yan 001; Mohan S. Kankanhalli; Jun Wang 012 (Multim. Syst., 2005)

Automatic video logo detection and removal. - Wei-Qi Yan 001; Jun Wang 012; Mohan S. Kankanhalli (Multim. Syst., 2005)

A User-Item Relevance Model for Log-Based Collaborative Filtering. - Jun Wang 012; Arjen P. de Vries; Marcel J. T. Reinders (ECIR, 2006)

Distributed collaborative filtering for peer-to-peer file sharing systems. - Jun Wang 012; Johan A. Pouwelse; Reginald L. Lagendijk; Marcel J. T. Reinders (SAC, 2006)

Unifying user-based and item-based collaborative filtering approaches by similarity fusion. - Jun Wang 012; Arjen P. de Vries; Marcel J. T. Reinders (SIGIR, 2006)

Experiential Sampling in Multimedia Systems. - Mohan S. Kankanhalli; Jun Wang 012; Ramesh C. Jain (IEEE Trans. Multim., 2006)

Experiential Sampling on Multiple Data Streams. - Mohan S. Kankanhalli; Jun Wang 012; Ramesh C. Jain (IEEE Trans. Multim., 2006)

Generation of Query-Biased Concepts Using Content and Structure for Query Reformulation. - Youjin Chang; Jun Wang 012; Mounia Lalmas (NLDB, 2008)

TRIBLER: a social-based peer-to-peer system. - Johan A. Pouwelse; Pawel Garbacki; Jun Wang 012; Arno Bakker; Jie Yang 015; Alexandru Iosup; Dick H. J. Epema; Marcel J. T. Reinders; Maarten van Steen; Henk J. Sips (Concurr. Comput. Pract. Exp., 2008)

Probabilistic relevance ranking for collaborative filtering. - Jun Wang 012; Stephen Robertson; Arjen P. de Vries; Marcel J. T. Reinders (Inf. Retr., 2008)

Personalization on a peer-to-peer television system. - Jun Wang 012; Johan A. Pouwelse; Jenneke Fokker; Arjen P. de Vries; Marcel J. T. Reinders (Multim. Tools Appl., 2008)

Unified relevance models for rating prediction in collaborative filtering. - Jun Wang 012; Arjen P. de Vries; Marcel J. T. Reinders (ACM Trans. Inf. Syst., 2008)

Wi-Fi Walkman. - Arjen P. de Vries; Marcel J. T. Reinders; Jun Wang 012 (Encyclopedia of Wireless and Mobile Communications, 2008)

Personalization on a Peer-to-Peer Television System. - Jun Wang 012; Johan Pouwelse; Jenneke Fokker; Arjen P. de Vries; Marcel J. T. Reinders (Handbook of Multimedia for Digital Entertainment and Arts, 2009)

Language Models of Collaborative Filtering. - Jun Wang 012 (AIRS, 2009)

Bridging the gap: complex networks meet information and knowledge management. - Jun Wang 012; Shi Zhou; Dell Zhang (CIKM, 2009)

Mean-Variance Analysis: A New Document Ranking Theory in Information Retrieval. - Jun Wang 012 (ECIR, 2009)

Risk-Aware Information Retrieval. - Jianhan Zhu; Jun Wang 012; Michael J. Taylor 001; Ingemar J. Cox (ECIR, 2009)

Portfolio theory of information retrieval. - Jun Wang 012; Jianhan Zhu (SIGIR, 2009)

Risky business: modeling and exploiting uncertainty in information retrieval. - Jianhan Zhu; Jun Wang 012; Ingemar J. Cox; Michael J. Taylor 001 (SIGIR, 2009)

Topic (query) selection for IR evaluation. - Jianhan Zhu; Jun Wang 012; Vishwa Vinay; Ingemar J. Cox (SIGIR, 2009)

How Quantum Theory Is Developing the Field of Information Retrieval. - Dawei Song 001; Mounia Lalmas; Keith van Rijsbergen; Ingo Frommholz; Benjamin Piwowarski; Jun Wang 012; Peng Zhang 002; Guido Zuccon; Peter Bruza; Sachi Arafat; Leif Azzopardi; Emanuele Di Buccio; et al. (AAAI Fall Symposium: Quantum Informatics for Cognitive, Social, and Semantic Processes, 2010)

Tensor Product of Correlated Textual and Visual Features: A Quantum Theory Inspired Image Retrieval Framework. - Jun Wang 012; Dawei Song 001; Leszek Kaliciak (AAAI Fall Symposium: Quantum Informatics for Cognitive, Social, and Semantic Processes, 2010)

Explanation of Relevance Judgement Discrepancy with Quantum Interference. - Jun Wang 012; Dawei Song 001; Peng Zhang 002; Yuexian Hou; Peter Bruza (AAAI Fall Symposium: Quantum Informatics for Cognitive, Social, and Semantic Processes, 2010)

Automata Modeling for Cognitive Interference in Users' Relevance Judgment. - Peng Zhang 002; Dawei Song 001; Yuexian Hou; Jun Wang 012; Peter Bruza (AAAI Fall Symposium: Quantum Informatics for Cognitive, Social, and Semantic Processes, 2010)

RGU at ImageCLEF2010 Wikipedia Retrieval Task. - Jun Wang 012; Dawei Song 001; Leszek Kaliciak (CLEF (Notebook Papers/LABs/Workshops), 2010)

Goal-Driven Collaborative Filtering - A Directional Error Based Approach. - Tamas Jambor; Jun Wang 012 (ECIR, 2010)

Laplacian Co-hashing of Terms and Documents. - Dell Zhang; Jun Wang 012; Deng Cai 001; Jinsong Lu (ECIR, 2010)

Optimizing multiple objectives in collaborative filtering. - Tamas Jambor; Jun Wang 012 (RecSys, 2010)

On statistical analysis and optimization of information retrieval effectiveness metrics. - Jun Wang 012; Jianhan Zhu (SIGIR, 2010)

Self-taught hashing for fast similarity search. - Dell Zhang; Jun Wang 012; Deng Cai 001; Jinsong Lu (SIGIR, 2010)

Personalization of tagging systems. - Jun Wang 012; Maarten Clements; Jie Yang 015; Arjen P. de Vries; Marcel J. T. Reinders (Inf. Process. Manag., 2010)

On Modeling Rank-Independent Risk in Estimating Probability of Relevance. - Peng Zhang 002; Dawei Song 001; Jun Wang 012; Xiaozhao Zhao; Yuexian Hou (AIRS, 2011)

Structured collaborative filtering. - Alejandro Bellogín; Jun Wang 012; Pablo Castells (CIKM, 2011)

Statistical information retrieval modelling: from the probability ranking principle to recent advances in diversity, portfolio theory, and beyond. - Jun Wang 012; Kevyn Collins-Thompson (CIKM, 2011)

Text Retrieval Methods for Item Ranking in Collaborative Filtering. - Alejandro Bellogín; Jun Wang 012; Pablo Castells (ECIR, 2011)

Contextual Image Annotation via Projection and Quantum Theory Inspired Measurement for Integration of Text and Visual Features. - Leszek Kaliciak; Jun Wang 012; Dawei Song 001; Peng Zhang 002; Yuexian Hou (QI, 2011)

Workshop on novelty and diversity in recommender systems - DiveRS 2011. - Pablo Castells; Jun Wang 012; Rubén Lara; Dell Zhang (RecSys, 2011)

A Unified Relevance Retrieval Model by Eliteness Hypothesis - Jagadeesh Gorla; Stephen Robertson; Jun Wang 012 (CoRR, 2011)

The 1st international workshop on diversity in document retrieval. - Craig Macdonald; Charles L. A. Clarke; Jun Wang 012 (SIGIR Forum, 2011)

Sequential selection of correlated ads by POMDPs. - Shuai Yuan 002; Jun Wang 012 (CIKM, 2012)

Top-k Retrieval Using Facility Location Analysis. - Guido Zuccon; Leif Azzopardi; Dell Zhang; Jun Wang 012 (ECIR, 2012)

Adaptive diversification of recommendation results via latent factor portfolio. - Yue Shi 002; Xiaoxue Zhao; Jun Wang 012; Martha A. Larson; Alan Hanjalic (SIGIR, 2012)

Precoding with Known Transmit Coupling and Spatial Covariance Matrices. - Jinhui Chen; Wei Fang; Fanglei Sun; Peng Shang; Jun Wang 012 (VTC Spring, 2012)

2nd international workshop on diversity in document retrieval (DDR 2012). - Craig Macdonald; Jun Wang 012; Charles L. A. Clarke (WSDM, 2012)

Using control theory for stable and efficient recommender systems. - Tamas Jambor; Jun Wang 012; Neal Lathia (WWW, 2012)

Dynamical information retrieval modelling: a portfolio-armed bandit machine approach. - Marc Sloan; Jun Wang 012 (WWW (Companion Volume), 2012)

Selling futures online advertising slots via option contracts. - Jun Wang 012; Bowei Chen 001 (WWW (Companion Volume), 2012)

A Theory of Information Matching - Jagadeesh Gorla; Stephen Robertson; Jun Wang 012; Tamas Jambor (CoRR, 2012)

Internet Advertising: An Interplay among Advertisers, Online Publishers, Ad Exchanges and Web Users - Shuai Yuan 002; Ahmad Zainal Abidin; Marc Sloan; Jun Wang 012 (CoRR, 2012)

Real-time bidding for online advertising: measurement and analysis. - Shuai Yuan 002; Jun Wang 012; Xiaoxue Zhao (AdKDD@KDD, 2013)

Interactive collaborative filtering. - Xiaoxue Zhao; Weinan Zhang 001; Jun Wang 012 (CIKM, 2013)

To personalize or not: a risk management perspective. - Weinan Zhang 001; Jun Wang 012; Bowei Chen 001; Xiaoxue Zhao (RecSys, 2013)

Optimizing top-n collaborative filtering via dynamic negative item sampling. - Weinan Zhang 001; Tianqi Chen 001; Jun Wang 012; Yong Yu 001 (SIGIR, 2013)

Bias-variance decomposition of ir evaluation. - Peng Zhang 002; Dawei Song 001; Jun Wang 012; Yuexian Hou (SIGIR, 2013)

Probabilistic group recommendation via information matching. - Jagadeesh Gorla; Neal Lathia; Stephen Robertson; Jun Wang 012 (WWW, 2013)

Interactive exploratory search for multi page search results. - Xiaoran Jin; Marc Sloan; Jun Wang 012 (WWW, 2013)

Multi-Keyword Multi-Click Option Contracts for Sponsored Search Advertising. - Bowei Chen 001; Jun Wang 012; Ingemar J. Cox; Mohan S. Kankanhalli (CoRR, 2013)

Iterative Expectation for Multi Period Information Retrieval - Marc Sloan; Jun Wang 012 (CoRR, 2013)

Bridging memory-based collaborative filtering and text retrieval. - Alejandro Bellogín; Jun Wang 012; Pablo Castells (Inf. Retr., 2013)

Generalized Bias-Variance Evaluation of TREC Participated Systems. - Peng Zhang 002; Linxue Hao; Dawei Song 001; Jun Wang 012; Yuexian Hou; Bin Hu 001 (CIKM, 2014)

A Dynamic Pricing Model for Unifying Programmatic Guarantee and Real-Time Bidding in Display Advertising. - Bowei Chen 001; Shuai Yuan 002; Jun Wang 012 (ADKDD@KDD, 2014)

An empirical study of reserve price optimisation in real-time bidding. - Shuai Yuan 002; Jun Wang 012; Bowei Chen 001; Peter Mason; Sam Seljan (KDD, 2014)

Optimal real-time bidding for display advertising. - Weinan Zhang 001; Shuai Yuan 002; Jun Wang 012 (KDD, 2014)

Dynamic information retrieval modeling. - Hui Yang 001; Marc Sloan; Jun Wang 012 (SIGIR, 2014)

A Lattice Framework for Pricing Display Ad Options with the Stochastic Volatility Underlying Model. - Bowei Chen 001; Jun Wang 012 (CoRR, 2014)

Real-Time Bidding Benchmarking with iPinYou Dataset. - Weinan Zhang 001; Shuai Yuan 002; Jun Wang 012 (CoRR, 2014)

Bias-variance analysis in estimating true query model for information retrieval. - Peng Zhang 002; Dawei Song 001; Jun Wang 012; Yuexian Hou (Inf. Process. Manag., 2014)

Introduction to the Special Issue on Diversity and Discovery in Recommender Systems. - Pablo Castells; Jun Wang 012; Rubén Lara; Dell Zhang (ACM Trans. Intell. Syst. Technol., 2014)

Document Boltzmann Machines for Information Retrieval. - Qian Yu; Peng Zhang 002; Yuexian Hou; Dawei Song 001; Jun Wang 012 (ECIR, 2015)

A Bayesian Hierarchical Model for Comparing Average F1 Scores. - Dell Zhang; Jun Wang 012; Xiaoxue Zhao; Xiaoling Wang 004 (ICDM, 2015)

Dynamic Information Retrieval: Theoretical Framework and Application. - Marc Sloan; Jun Wang 012 (ICTIR, 2015)

Estimating the Uncertainty of Average F1 Scores. - Dell Zhang; Jun Wang 012; Xiaoxue Zhao (ICTIR, 2015)

A Theoretical Analysis of Two-Stage Recommendation for Cold-Start Collaborative Filtering. - Xiaoxue Zhao; Jun Wang 012 (ICTIR, 2015)

Statistical Arbitrage Mining for Display Advertising. - Weinan Zhang 001; Jun Wang 012 (KDD, 2015)

Risk-Hedged Venture Capital Investment Recommendation. - Xiaoxue Zhao; Weinan Zhang 001; Jun Wang 012 (RecSys, 2015)

Real-Time Bidding: A New Frontier of Computational Advertising Research. - Jun Wang 012; Shuai Yuan 002 (WSDM, 2015)

An Empirical Study on Display Ad Impression Viewability Measurements. - Weinan Zhang 001; Ye Pan; Tianxiong Zhou; Jun Wang 012 (CoRR, 2015)

A lattice framework for pricing display advertisement options with the stochastic volatility underlying model. - Bowei Chen 001; Jun Wang 012 (Electron. Commer. Res. Appl., 2015)

Resource allocation algorithm based on hybrid particle swarm optimization for multiuser cognitive OFDM network. - Lei Xu 015; Jun Wang 012; Yaping Li; Qianmu Li; Xiaofei Zhang 001 (Expert Syst. Appl., 2015)

A term-based methodology for query reformulation understanding. - Marc Sloan; Hui Yang 001; Jun Wang 012 (Inf. Retr. J., 2015)

Multi-Keyword Multi-Click Advertisement Option Contracts for Sponsored Search. - Bowei Chen 001; Jun Wang 012; Ingemar J. Cox; Mohan S. Kankanhalli (ACM Trans. Intell. Syst. Technol., 2015)

User Response Learning for Directly Optimizing Campaign Performance in Display Advertising. - Kan Ren; Weinan Zhang 001; Yifei Rong; Haifeng Zhang 002; Yong Yu 001; Jun Wang 012 (CIKM, 2016)

Real-Time Bidding Based Display Advertising: Mechanisms and Algorithms. - Jun Wang 012; Shuai Yuan 002; Weinan Zhang 001 (ECIR, 2016)

Implicit Look-Alike Modelling in Display Ads - Transfer Collaborative Filtering to CTR Estimation. - Weinan Zhang 001; Lingxi Chen; Jun Wang 012 (ECIR, 2016)

Deep Learning over Multi-field Categorical Data - - A Case Study on User Response Prediction. - Weinan Zhang 001; Tianming Du; Jun Wang 012 (ECIR, 2016)

Resource Allocation Based on Double Auction for Cloud Computing System. - Lei Xu 015; Jun Wang 012; Arumugam Nallanathan; Yaping Li (HPCC/SmartCity/DSS, 2016)

Product-Based Neural Networks for User Response Prediction. - Yanru Qu; Han Cai; Kan Ren; Weinan Zhang 001; Yong Yu 001; Ying Wen 001; Jun Wang 012 (ICDM, 2016)

Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising. - Weinan Zhang 001; Tianxiong Zhou; Jun Wang 012; Jian Xu 015 (KDD, 2016)

Value at Risk for Risk Evaluation in Information Retrieval. - Meijia Wang; Peng Zhang 002; Dawei Song 001; Jun Wang 012 (NLPCC/ICCPOL, 2016)

Functional Bid Landscape Forecasting for Display Advertising. - Yuchen Wang; Kan Ren; Weinan Zhang 001; Jun Wang 012; Yong Yu 001 (ECML/PKDD (1), 2016)

Bayesian Performance Comparison of Text Classifiers. - Dell Zhang; Jun Wang 012; Emine Yilmaz; Xiaoling Wang 004; Yuxin Zhou (SIGIR, 2016)

Feedback Control of Real-Time Display Advertising. - Weinan Zhang 001; Yifei Rong; Jun Wang 012; Tianchi Zhu; Xiaofan Wang 001 (WSDM, 2016)

Feature Selection as a Multiagent Coordination Problem. - Kleanthis Malialis; Jun Wang 012; Gary Brooks; George Frangou (CoRR, 2016)

Learning text representation using recurrent convolutional neural network with highway layers. - Ying Wen 001; Weinan Zhang 001; Rui Luo 001; Jun Wang 012 (CoRR, 2016)

Optimal Real-Time Bidding Frameworks Discussion. - Weinan Zhang 001; Kan Ren; Jun Wang 012 (CoRR, 2016)

Dynamic Information Retrieval Modeling - Grace Hui Yang; Marc Sloan; Jun Wang 012 (Morgan & Claypool Publishers, 2016)

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. - Lantao Yu; Weinan Zhang 001; Jun Wang 012; Yong Yu 001 (AAAI, 2017)

Content Recommendation by Noise Contrastive Transfer Learning of Feature Representation. - Yiyang Li; Guanyu Tao; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (CIKM, 2017)

Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration. - Xuejian Wang; Lantao Yu; Kan Ren; Guanyu Tao; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (KDD, 2017)

IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models. - Jun Wang 012; Lantao Yu; Weinan Zhang 001; Yu Gong; Yinghui Xu; Benyou Wang; Peng Zhang 002; Dell Zhang (SIGIR, 2017)

Real-Time Bidding by Reinforcement Learning in Display Advertising. - Han Cai; Kan Ren; Weinan Zhang 001; Kleanthis Malialis; Jun Wang 012; Yong Yu 001; Defeng Guo (WSDM, 2017)

Managing Risk of Bidding in Display Advertising. - Haifeng Zhang 002; Weinan Zhang 001; Yifei Rong; Kan Ren; Wenxin Li 005; Jun Wang 012 (WSDM, 2017)

Reinforcement Learning for Architecture Search by Network Transformation. - Han Cai; Tianyao Chen; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (CoRR, 2017)

Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games. - Peng Peng; Quan Yuan; Ying Wen 001; Yaodong Yang 001; Zhenkun Tang; Haitao Long; Jun Wang 012 (CoRR, 2017)

Learning to Design Games: Strategic Environments in Deep Reinforcement Learning. - Haifeng Zhang 002; Jun Wang 012; Zhiming Zhou 001; Weinan Zhang 001; Ying Wen 001; Yong Yu 001; Wenxin Li 005 (CoRR, 2017)

Generative Adversarial Nets with Labeled Data by Activation Maximization. - Zhiming Zhou 001; Shu Rong; Han Cai; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (CoRR, 2017)

An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning. - Yaodong Yang 001; Lantao Yu; Yiwei Bai; Jun Wang 012; Weinan Zhang 001; Ying Wen 001; Yong Yu 001 (CoRR, 2017)

MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence. - Lianmin Zheng; Jiacheng Yang; Han Cai; Weinan Zhang 001; Jun Wang 012; Yong Yu 001 (CoRR, 2017)

Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting. - Jun Wang 012; Weinan Zhang 001; Shuai Yuan 002 (Found. Trends Inf. Retr., 2017)

Efficient Architecture Search by Network Transformation. - Han Cai; Tianyao Chen; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (AAAI, 2018)

Long Text Generation via Adversarial Training with Leaked Information. - Jiaxian Guo; Sidi Lu; Han Cai; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (AAAI, 2018)

A Neural Stochastic Volatility Model. - Rui Luo 001; Weinan Zhang 001; Xiaojun Xu; Jun Wang 012 (AAAI, 2018)

MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence. - Lianmin Zheng; Jiacheng Yang; Han Cai; Ming Zhou 006; Weinan Zhang 001; Jun Wang 012; Yong Yu 001 (AAAI, 2018)

A Study of AI Population Dynamics with Million-agent Reinforcement Learning. - Yaodong Yang 001; Lantao Yu; Yiwei Bai; Ying Wen 001; Weinan Zhang 001; Jun Wang 012 (AAMAS, 2018)

Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising. - Junqi Jin; Chengru Song; Han Li 005; Kun Gai; Jun Wang 012; Weinan Zhang 001 (CIKM, 2018)

Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising. - Kan Ren; Yuchen Fang; Weinan Zhang 001; Shuhao Liu 002; Jiajun Li; Ya Zhang 002; Yong Yu 001; Jun Wang 012 (CIKM, 2018)

Activation Maximization Generative Adversarial Nets. - Zhiming Zhou 001; Han Cai; Shu Rong; Yuxuan Song; Kan Ren; Weinan Zhang 001; Jun Wang 012; Yong Yu 001 (ICLR (Poster), 2018)

Mean Field Multi-Agent Reinforcement Learning. - Yaodong Yang 001; Rui Luo 001; Minne Li; Ming Zhou 006; Weinan Zhang 001; Jun Wang 012 (ICML, 2018)

On the Equilibrium of Query Reformulation and Document Retrieval. - Shihao Zou; Guanyu Tao; Jun Wang 012; Weinan Zhang 001; Dell Zhang (ICTIR, 2018)

Learning to Design Games: Strategic Environments in Reinforcement Learning. - Haifeng Zhang 002; Jun Wang 012; Zhiming Zhou 001; Weinan Zhang 001; Yin Wen; Yong Yu 001; Wenxin Li 005 (IJCAI, 2018)

Explanation Mining: Post Hoc Interpretability of Latent Factor Models for Recommendation Systems. - Georgina Peake; Jun Wang 012 (KDD, 2018)

Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning. - Rui Luo 001; Jianhong Wang; Yaodong Yang 001; Jun Wang 012; Zhanxing Zhu (NeurIPS, 2018)

Texygen: A Benchmarking Platform for Text Generation Models. - Yaoming Zhu; Sidi Lu; Lei Zheng; Jiaxian Guo; Weinan Zhang 001; Jun Wang 012; Yong Yu 001 (SIGIR, 2018)

DECCO: Deep-Learning Enabled Coverage and Capacity Optimization for Massive MIMO Systems. - Yang Yang 001; Yang Li 116; Kai Li 022; Shuang Zhao; Rui Chen 001; Jun Wang 012; Song Ci (IEEE Access, 2018)

Neural Text Generation: Past, Present and Beyond. - Sidi Lu; Yaoming Zhu; Weinan Zhang 001; Jun Wang 012; Yong Yu 001 (CoRR, 2018)

Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning. - Weixun Wang; Junqi Jin; Jianye Hao; Chunjie Chen 004; Chuan Yu; Weinan Zhang 001; Jun Wang 012; Yixi Wang; Han Li 005; Jian Xu 015; Kun Gai (CoRR, 2018)

Factorized Q-Learning for Large-Scale Multi-Agent Systems. - Yong Chen 008; Ming Zhou 006; Ying Wen 001; Yaodong Yang 001; Yufeng Su; Weinan Zhang 001; Dell Zhang; Jun Wang 012; Han Liu (CoRR, 2018)

Learning Multi-agent Implicit Communication Through Actions: A Case Study in Contract Bridge, a Collaborative Imperfect-Information Game. - Zheng Tian 002; Shihao Zou; Tim Warr; Lisheng Wu; Jun Wang 012 (CoRR, 2018)

Learning Shared Dynamics with Meta-World Models. - Lisheng Wu; Minne Li; Jun Wang 012 (CoRR, 2018)

DEBTS: Delay Energy Balanced Task Scheduling in Homogeneous Fog Networks. - Yang Yang 001; Shuang Zhao; Wuxiong Zhang; Yu Chen 006; Xiliang Luo; Jun Wang 012 (IEEE Internet Things J., 2018)

Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising. - Kan Ren; Weinan Zhang 001; Ke Chang; Yifei Rong; Yong Yu 001; Jun Wang 012 (IEEE Trans. Knowl. Data Eng., 2018)

Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. - Dagui Chen; Junqi Jin; Weinan Zhang 001; Fei Pan; Lvyin Niu; Chuan Yu; Jun Wang 012; Han Li 005; Jian Xu 015; Kun Gai (CIKM, 2019)

EYRE 2019: 2nd International Workshop on EntitY REtrieval. - Gong Cheng 001; Kalpa Gunaratna; Jun Wang 012 (CIKM, 2019)

CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. - Jiarui Jin; Ming Zhou 006; Weinan Zhang 001; Minne Li; Zilong Guo; Zhiwei (Tony) Qin; Yan Jiao; Xiaocheng Tang; Chenxi Wang; Jun Wang 012; Guobin Wu 001; Jieping Ye (CIKM, 2019)

Learning Adaptive Display Exposure for Real-Time Advertising. - Weixun Wang; Junqi Jin; Jianye Hao; Chunjie Chen 004; Chuan Yu; Weinan Zhang 001; Jun Wang 012; Xiaotian Hao; Yixi Wang; Han Li 005; Jian Xu 015; Kun Gai (CIKM, 2019)

MarlRank: Multi-agent Reinforced Learning to Rank. - Shihao Zou; Zhonghua Li; Mohammad Akbari 001; Jun Wang 012; Peng Zhang 002 (CIKM, 2019)

Factorized Q-learning for large-scale multi-agent systems. - Ming Zhou 006; Yong Chen 008; Ying Wen 001; Yaodong Yang 001; Yufeng Su; Weinan Zhang 001; Dell Zhang; Jun Wang 012 (DAI, 2019)

Modeling User Return Time Using Inhomogeneous Poisson Process. - Mohammad Akbari 001; Alberto Cetoli; Stefano Bragaglia; Andrew D. O'Harney; Marc Sloan; Jun Wang 012 (ECIR (2), 2019)

Know Your Enemies and Know Yourself in the Real-Time Bidding Function Optimisation. - Manxing Du; Alexander I. Cowen-Rivers; Ying Wen 001; Phu Sakulwongtana; Jun Wang 012; Mats Brorsson; Radu State (ICDM Workshops, 2019)

Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning. - Ying Wen 001; Yaodong Yang 001; Rui Luo 001; Jun Wang 012; Wei Pan 004 (ICLR (Poster), 2019)

BayesNAS: A Bayesian Approach for Neural Architecture Search. - Hongpeng Zhou; Minghao Yang; Jun Wang 012; Wei Pan 004 (ICML, 2019)

A Regularized Opponent Model with Maximum Entropy Objective. - Zheng Tian 002; Ying Wen 001; Zhichen Gong; Faiz Punakkath; Shihao Zou; Jun Wang 012 (IJCAI, 2019)

Neural Variational Inference For Estimating Knowledge Graph Embedding Uncertainty. - Alexander I. Cowen-Rivers; Pasquale Minervini; Sebastian Riedel 001; Tim Rocktäschel; Jun Wang 012; Matko Bosnjak (NeSy@IJCAI, 2019)

Multi-View Reinforcement Learning. - Minne Li; Lisheng Wu; Jun Wang 012; Haitham Bou-Ammar (NeurIPS, 2019)

Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. - Minne Li; Zhiwei (Tony) Qin; Yan Jiao; Yaodong Yang 001; Jun Wang 012; Chenxi Wang; Guobin Wu 001; Jieping Ye (WWW, 2019)

Layout Design for Intelligent Warehouse by Evolution With Fitness Approximation. - Haifeng Zhang 002; Zilong Guo; Weinan Zhang 001; Han Cai; Chris Wang; Yong Yu 001; Wenxin Li 005; Jun Wang 012 (IEEE Access, 2019)

Fog Services and Enabling Technologies. - Yang Yang 001; Tao Zhang 005; Jun Wang 012; Nanxi Chen; Rhonda A. Dirvin (IEEE Commun. Mag., 2019)

Multi-Agent Generalized Recursive Reasoning. - Ying Wen 001; Yaodong Yang 001; Rui Lu; Jun Wang 012 (CoRR, 2019)

Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. - Minne Li; Zhiwei (Tony) Qin; Yan Jiao; Yaodong Yang 001; Zhichen Gong; Jun Wang 012; Chenxi Wang; Guobin Wu 001; Jieping Ye (CoRR, 2019)

Infer Your Enemies and Know Yourself, Learning in Real-Time Bidding with Partially Observable Opponents. - Manxing Du; Alexander I. Cowen-Rivers; Ying Wen 001; Phu Sakulwongtana; Jun Wang 012; Mats Brorsson; Radu State (CoRR, 2019)

Optimizing Object-based Perception and Control by Free-Energy Principle. - Minne Li; Pranav Nashikkar; Jun Wang 012 (CoRR, 2019)

Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings. - Alexander I. Cowen-Rivers; Pasquale Minervini; Tim Rocktäschel; Matko Bosnjak; Sebastian Riedel 001; Jun Wang 012 (CoRR, 2019)

Wasserstein Robust Reinforcement Learning. - Mohammed Amin Abdullah 001; Hang Ren; Haitham Bou-Ammar; Vladimir Milenkovic; Rui Luo 001; Mingtian Zhang; Jun Wang 012 (CoRR, 2019)

MANAS: Multi-Agent Neural Architecture Search. - Fabio Maria Carlucci; Pedro M. Esperança; Marco Singh; Victor Gabillon; Antoine Yang; Hang Xu; Zewei Chen; Jun Wang 012 (CoRR, 2019)

H∞ Model-free Reinforcement Learning with Robust Stability Guarantee. - Minghao Han; Yuan Tian 014; Lixian Zhang; Jun Wang 012; Wei Pan 004 (CoRR, 2019)

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). - Kai Li 022; Xiaoqing Luo; Zhancheng Zhang; Jun Wang 012 (计算机科学, 2019)

Learning to Model Opponent Learning (Student Abstract). - Ian Davies; Zheng Tian 002; Jun Wang 012 (AAAI, 2020)

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. - Hangyu Mao; Wulong Liu; Jianye Hao; Jun Luo 009; Dong Li 016; Zhengchao Zhang; Jun Wang 012; Zhen Xiao (AAAI, 2020)

Learning to Communicate Implicitly by Actions. - Zheng Tian 002; Shihao Zou; Ian Davies; Tim Warr; Lisheng Wu; Haitham Bou-Ammar; Jun Wang 012 (AAAI, 2020)

Bi-Level Actor-Critic for Multi-Agent Coordination. - Haifeng Zhang 002; Weizhe Chen 001; Zeren Huang; Minne Li; Yaodong Yang 001; Weinan Zhang 001; Jun Wang 012 (AAAI, 2020)

Sequential Advertising Agent with Interpretable User Hidden Intents. - Zhaoqing Peng; Junqi Jin; Lan Luo; Yaodong Yang 001; Rui Luo 001; Jun Wang 012; Weinan Zhang 001; Miao Xu; Chuan Yu; Tiejian Luo; Han Li 005; Jian Xu 015; et al. (AAMAS, 2020)

3rd International Workshop on EntitY Retrieval and lEarning (EYRE 2020). - Gong Cheng 001; Kalpa Gunaratna; Jun Wang 012 (CIKM, 2020)

U-rank: Utility-oriented Learning to Rank with Implicit Feedback. - Xinyi Dai; Jiawei Hou; Qing Liu 020; Yunjia Xi; Ruiming Tang; Weinan Zhang 001; Xiuqiang He 001; Jun Wang 012; Yong Yu 001 (CIKM, 2020)

Learning to Infer User Hidden States for Online Sequential Advertising. - Zhaoqing Peng; Junqi Jin; Lan Luo; Yaodong Yang 001; Rui Luo 001; Jun Wang 012; Weinan Zhang 001; Haiyang Xu; Miao Xu; Chuan Yu; Tiejian Luo; Han Li 005; et al. (CIKM, 2020)

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. - Ming Zhou 006; Jun Luo 009; Julian Villela; Yaodong Yang 002; David Rusu; Jiayu Miao; Weinan Zhang 001; Montgomery Alban; Iman Fadakar; Zheng Chen; Chongxi Huang; Ying Wen 001; et al. (CoRL, 2020)

Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search. - Yuan Tian 014; Qin Wang 013; Zhiwu Huang; Wen Li 001; Dengxin Dai; Minghao Yang; Jun Wang 012; Olga Fink (ECCV (7), 2020)

Multi-Agent Interactions Modeling with Correlated Policies. - Minghuan Liu; Ming Zhou 006; Weinan Zhang 001; Yuzheng Zhuang; Jun Wang 012; Wulong Liu; Yong Yu 001 (ICLR, 2020)

Multi-Agent Determinantal Q-Learning. - Yaodong Yang 001; Ying Wen 001; Jun Wang 012; Liheng Chen; Kun Shao; David Mguni; Weinan Zhang 001 (ICML, 2020)

Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning. - Ying Wen 001; Yaodong Yang 001; Jun Wang 012 (IJCAI, 2020)

Replica-Exchange Nosé-Hoover Dynamics for Bayesian Learning on Large Datasets. - Rui Luo 001; Qiang Zhang; Yaodong Yang 001; Jun Wang 012 (NeurIPS, 2020)

JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation. - Xu Chen 017; Changying Du; Xiuqiang He 001; Jun Wang 012 (SIGIR, 2020)

A Deep Recurrent Survival Model for Unbiased Ranking. - Jiarui Jin; Yuchen Fang; Weinan Zhang 001; Kan Ren; Guorui Zhou; Jian Xu 015; Yong Yu 001; Jun Wang 012; Xiaoqiang Zhu; Kun Gai (SIGIR, 2020)

GREASE: A Generative Model for Relevance Search over Knowledge Graphs. - Tianshuo Zhou; Ziyang Li; Gong Cheng 001; Jun Wang 012; Yuang Wei (WSDM, 2020)

Compositional ADAM: An Adaptive Compositional Solver. - Rasul Tutunov; Minne Li; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2020)

CausalVAE: Structured Causal Disentanglement in Variational Autoencoder. - Mengyue Yang; Furui Liu; Zhitang Chen; Xinwei Shen 002; Jianye Hao; Jun Wang 012 (CoRR, 2020)

Learning to Model Opponent Learning. - Ian Davies; Zheng Tian 002; Jun Wang 012 (CoRR, 2020)

Bilevel Learning Model Towards Industrial Scheduling. - Longkang Li; Hui-Ling Zhen; Mingxuan Yuan; Jiawen Lu; Xialiang Tong; Jia Zeng; Jun Wang 012; Dirk Schnieders (CoRR, 2020)

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. - Ming Zhou 006; Jun Luo 009; Julian Villela; Yaodong Yang 002; David Rusu; Jiayu Miao; Weinan Zhang 001; Montgomery Alban; Iman Fadakar; Zheng Chen; Aurora Chongxi Huang; Ying Wen 001; et al. (CoRR, 2020)

An Overview of Multi-Agent Reinforcement Learning from Game Theoretical Perspective. - Yaodong Yang 001; Jun Wang 012 (CoRR, 2020)

HEBO: Heteroscedastic Evolutionary Bayesian Optimisation. - Alexander I. Cowen-Rivers; Wenlong Lyu; Zhi Wang 001; Rasul Tutunov; Jianye Hao; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2020)

Causal World Models by Unsupervised Deconfounding of Physical Dynamics. - Minne Li; Mengyue Yang; Furui Liu; Xu Chen 017; Zhitang Chen; Jun Wang 012 (CoRR, 2020)

Actor-Critic Reinforcement Learning for Control With Stability Guarantee. - Minghao Han; Lixian Zhang; Jun Wang 012; Wei Pan 004 (IEEE Robotics Autom. Lett., 2020)

Strongly Constrained Discrete Hashing. - Yong Chen 008; Zhibao Tian; Hui Zhang 028; Jun Wang 012; Dell Zhang (IEEE Trans. Image Process., 2020)

Learning Correlated Communication Topology in Multi-Agent Reinforcement learning. - Yali Du 001; Bo Liu 039; Vincent Moens; Ziqi Liu; Zhicheng Ren; Jun Wang 012; Xu Chen 017; Haifeng Zhang 002 (AAMAS, 2021)

Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems. - Yaodong Yang 002; Jun Luo 009; Ying Wen 001; Oliver Slumbers; Daniel Graves; Haitham Bou-Ammar; Jun Wang 012; Matthew E. Taylor (AAMAS, 2021)

CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. - Xidong Feng; Chen Chen 077; Dong Li 016; Mengchen Zhao; Jianye Hao; Jun Wang 012 (CIKM, 2021)

Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization. - Xihan Li 001; Xiongwei Han; Zhishuo Zhou; Mingxuan Yuan; Jia Zeng; Jun Wang 012 (CIKM, 2021)

Top-N Recommendation with Counterfactual User Preference Simulation. - Mengyue Yang; Quanyu Dai; Zhenhua Dong; Xu Chen 017; Xiuqiang He 001; Jun Wang 012 (CIKM, 2021)

CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models. - Mengyue Yang; Furui Liu; Zhitang Chen; Xinwei Shen 002; Jianye Hao; Jun Wang 012 (CVPR, 2021)

Adaptive Multi-objective Reinforcement Learning for Pareto Frontier Approximation: A Case Study of Resource Allocation Network in Massive MIMO. - Ruiqing Chen; Fanglei Sun; Liang Chen; Kai Li 022; Liantao Wu; Jun Wang 012; Yang Yang 001 (EUSIPCO, 2021)

Deep Reinforcement Learning for Resource Allocation in Massive MIMO. - Liang Chen; Fanglei Sun; Kai Li 022; Ruiqing Chen; Yang Yang 001; Jun Wang 012 (EUSIPCO, 2021)

MAFENN: Multi-Agent Feedback Enabled Neural Network for Wireless Channel Equalization. - Yang Li 116; Fanglei Sun; Weiqin Zu; Wenbin Song; Ying Wen 001; Jun Wang 012; Yang Yang 001; Kai Li 022; Liantao Wu (GLOBECOM, 2021)

Joint Caching and Transmission in the Mobile Edge Network: An Multi-Agent Learning Approach. - Qirui Mi; Ning Yang 005; Haifeng Zhang 002; Haijun Zhang 001; Jun Wang 012 (GLOBECOM, 2021)

Retrospective Thinking based Multi-Agent System for Wireless Video Transmissions. - Yang Li 116; Fanglei Sun; Wenbin Song; Ying Wen 001; Kai Li 022; Jun Wang 012; Yang Yang 001 (ICC, 2021)

Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems. - Xijun Li; Weilin Luo; Mingxuan Yuan; Jun Wang 012; Jiawen Lu; Jie Wang 005; Jinhu Lü; Jia Zeng (ICDE, 2021)

Estimating α-Rank from A Few Entries with Low Rank Matrix Completion. - Yali Du 001; Xue Yan; Xu Chen 017; Jun Wang 012; Haifeng Zhang 002 (ICML, 2021)

Learning in Nonzero-Sum Stochastic Games with Potentials. - David Henry Mguni; Yutong Wu 005; Yali Du 001; Yaodong Yang 001; Ziyi Wang 004; Minne Li; Ying Wen 001; Joel Jennings; Jun Wang 012 (ICML, 2021)

Modelling Behavioural Diversity for Learning in Open-Ended Games. - Nicolas Perez Nieves; Yaodong Yang 001; Oliver Slumbers; David Henry Mguni; Ying Wen 001; Jun Wang 012 (ICML, 2021)

Ordering-Based Causal Discovery with Reinforcement Learning. - Xiaoqiang Wang 003; Yali Du 001; Shengyu Zhu 001; Liangjun Ke; Zhitang Chen; Jianye Hao; Jun Wang 012 (IJCAI, 2021)

Neural Auto-Curricula in Two-Player Zero-Sum Games. - Xidong Feng; Oliver Slumbers; Ziyu Wan; Bo Liu 039; Stephen McAleer; Ying Wen 001; Jun Wang 012; Yaodong Yang 001 (NeurIPS, 2021)

Settling the Variance of Multi-Agent Policy Gradients. - Jakub Grudzien Kuba; Muning Wen; Linghui Meng 001; Shangding Gu; Haifeng Zhang 002; David Mguni; Jun Wang 012; Yaodong Yang 001 (NeurIPS, 2021)

Reinforcement Recommendation with User Multi-aspect Preference. - Xu Chen 017; Yali Du 001; Long Xia; Jun Wang 012 (WWW, 2021)

An Adversarial Imitation Click Model for Information Retrieval. - Xinyi Dai; Jianghao Lin; Weinan Zhang 001; Shuai Li 010; Weiwen Liu; Ruiming Tang; Xiuqiang He 001; Jianye Hao; Jun Wang 012; Yong Yu 001 (WWW, 2021)

Reinforcement learning control of constrained dynamic systems with uniformly ultimate boundedness stability guarantee. - Minghao Han; Yuan Tian 014; Lixian Zhang; Jun Wang 012; Wei Pan 004 (Autom., 2021)

Efficient Semi-Implicit Variational Inference. - Vincent Moens; Hang Ren; Alexandre Maraval; Rasul Tutunov; Jun Wang 012; Haitham Ammar (CoRR, 2021)

Online Double Oracle. - Le Cong Dinh; Yaodong Yang 001; Zheng Tian 002; Nicolas Perez Nieves; Oliver Slumbers; David Henry Mguni; Haitham Bou-Ammar; Jun Wang 012 (CoRR, 2021)

Modelling Behavioural Diversity for Learning in Open-Ended Games. - Nicolas Perez Nieves; Yaodong Yang 001; Oliver Slumbers; David Henry Mguni; Jun Wang 012 (CoRR, 2021)

Learning to Shape Rewards using a Game of Switching Controls. - David Mguni; Jianhong Wang; Taher Jafferjee; Nicolas Perez Nieves; Wenbin Song; Yaodong Yang 001; Feifei Tong; Hui Chen; Jiangcheng Zhu; Yali Du 001; Jun Wang 012 (CoRR, 2021)

Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games. - Xidong Feng; Oliver Slumbers; Yaodong Yang 001; Ziyu Wan; Bo Liu 039; Stephen McAleer; Ying Wen 001; Jun Wang 012 (CoRR, 2021)

High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning. - Antoine Grosnit; Rasul Tutunov; Alexandre Max Maraval; Ryan-Rhys Griffiths; Alexander I. Cowen-Rivers; Lin Yang; Lin Zhu; Wenlong Lyu; Zhitang Chen; Jun Wang 012; Jan Peters 001; Haitham Bou-Ammar (CoRR, 2021)

MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. - Ming Zhou 006; Ziyu Wan; Hanjing Wang; Muning Wen; Runzhe Wu; Ying Wen 001; Yaodong Yang 001; Weinan Zhang 001; Jun Wang 012 (CoRR, 2021)

Implicit Variational Conditional Sampling with Normalizing Flows. - Vincent Moens; Aivar Sootla; Haitham Bou-Ammar; Jun Wang 012 (CoRR, 2021)

Learning to Compute Approximate Nash Equilibrium for Normal-form Games. - Zhijian Duan 001; Yali Du 001; Jun Wang 012; Xiaotie Deng (CoRR, 2021)

Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics. - Yixin Wu; Rui Luo 001; Chen Zhang 013; Jun Wang 012; Yaodong Yang 001 (CoRR, 2021)

BINet: Learning to Solve Partial Differential Equations with Boundary Integral Networks. - Guochang Lin; Pipi Hu; Fukai Chen; Xiang Chen; Junqing Chen; Jun Wang 012; Zuoqiang Shi (CoRR, 2021)

Multi-Agent Constrained Policy Optimisation. - Shangding Gu; Jakub Grudzien Kuba; Muning Wen; Ruiqing Chen; Ziyan Wang; Zheng Tian 002; Jun Wang 012; Alois C. Knoll; Yaodong Yang 001 (CoRR, 2021)

DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention. - David Mguni; Joel Jennings; Taher Jafferjee; Aivar Sootla; Yaodong Yang 001; Changmin Yu; Usman Islam; Ziyan Wang; Jun Wang 012 (CoRR, 2021)

A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers. - Chenguang Wang 011; Yaodong Yang 001; Oliver Slumbers; Congying Han; Tiande Guo; Haifeng Zhang 002; Jun Wang 012 (CoRR, 2021)

Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks. - Linghui Meng 001; Muning Wen; Yaodong Yang 001; Chenyang Le; Xiyun Li; Weinan Zhang 001; Ying Wen 001; Haifeng Zhang 002; Jun Wang 012; Bo Xu 002 (CoRR, 2021)

Settling the Bias and Variance of Meta-Gradient Estimation for Meta-Reinforcement Learning. - Bo Liu 039; Xidong Feng; Haifeng Zhang 002; Jun Wang 012; Yaodong Yang 001 (CoRR, 2021)

On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games. - Xiaotie Deng; Yuhao Li 002; David Mguni; Jun Wang 012; Yaodong Yang 001 (Electron. Colloquium Comput. Complex., 2021)

Are We Forgetting about Compositional Optimisers in Bayesian Optimisation? - Antoine Grosnit; Alexander I. Cowen-Rivers; Rasul Tutunov; Ryan-Rhys Griffiths; Jun Wang 012; Haitham Bou-Ammar (J. Mach. Learn. Res., 2021)

HeRA: an atlas of enhancer RNAs across human tissues. - Zhao Zhang; Wei Hong; Hang Ruan; Ying Jing; Shengli Li 005; Yaoming Liu; Jun Wang 012; Wenbo Li; Lixia Diao; Leng Han (Nucleic Acids Res., 2021)

Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. - Xue Yan; Yali Du 001; Binxin Ru; Jun Wang 012; Haifeng Zhang 002; Xu Chen 017 (AAAI, 2022)

Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech. - Yang Li 116; Cheng Yu; Guangzhi Sun; Hua Jiang; Fanglei Sun; Weiqin Zu; Ying Wen 001; Yang Yang 001; Jun Wang 012 (ACL (1), 2022)

Multiagent Q-learning with Sub-Team Coordination. - Wenhan Huang; Kai Li 022; Kun Shao; Tianze Zhou; Jun Luo 009; Dongge Wang 001; Hangyu Mao; Jianye Hao; Jun Wang 012; Xiaotie Deng (AAMAS, 2022)

GCS: Graph-Based Coordination Strategy for Multi-Agent Reinforcement Learning. - Jingqing Ruan; Yali Du 001; Xuantang Xiong; Dengpeng Xing; Xiyun Li; Linghui Meng 001; Haifeng Zhang 002; Jun Wang 012; Bo Xu 002 (AAMAS, 2022)

A Game-Theoretic Approach to Multi-agent Trust Region Optimization. - Ying Wen 001; Hui Chen; Yaodong Yang 001; Minne Li; Zheng Tian 002; Xu Chen 017; Jun Wang 012 (DAI, 2022)

BOiLS: Bayesian Optimisation for Logic Synthesis. - Antoine Grosnit; Cédric Malherbe; Rasul Tutunov; Xingchen Wan; Jun Wang 012; Haitham Bou-Ammar (DATE, 2022)

LPCSE: Neural Speech Enhancement through Linear Predictive Coding. - Yang Liu 047; Na Tang; Xiaoli Chu; Yang Yang 001; Jun Wang 012 (GLOBECOM, 2022)

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning. - Jakub Grudzien Kuba; Ruiqing Chen; Muning Wen; Ying Wen 001; Fanglei Sun; Jun Wang 012; Yaodong Yang 001 (ICLR, 2022)

LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. - David Henry Mguni; Taher Jafferjee; Jianhong Wang; Nicolas Perez Nieves; Oliver Slumbers; Feifei Tong; Yang Li 116; Jiangcheng Zhu; Yaodong Yang 001; Jun Wang 012 (ICLR, 2022)

Reinforcement Learning in Presence of Discrete Markovian Context Evolution. - Hang Ren; Aivar Sootla; Taher Jafferjee; Junxiao Shen; Jun Wang 012; Haitham Bou-Ammar (ICLR, 2022)

Learning State Representations via Retracing in Reinforcement Learning. - Changmin Yu; Dong Li 016; Jianye Hao; Jun Wang 012; Neil Burgess (ICLR, 2022)

Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. - Minghuan Liu; Zhengbang Zhu; Yuzheng Zhuang; Weinan Zhang 001; Jianye Hao; Yong Yu 001; Jun Wang 012 (ICML, 2022)

Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. - Aivar Sootla; Alexander I. Cowen-Rivers; Taher Jafferjee; Ziyan Wang; David Henry Mguni; Jun Wang 012; Haitham Ammar (ICML, 2022)

Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration. - Jiayu Miao; Tianze Zhou; Kun Shao; Ming Zhou 006; Weinan Zhang 001; Jianye Hao; Yong Yu 001; Jun Wang 012 (ICRA, 2022)

On the Convergence of Fictitious Play: A Decomposition Approach. - Yurong Chen 002; Xiaotie Deng; Chenchen Li; David Mguni; Jun Wang 012; Xiang Yan; Yaodong Yang 001 (IJCAI, 2022)

Scalable Model-based Policy Optimization for Decentralized Networked Systems. - Yali Du 001; Chengdong Ma; Yuchen Liu; Runji Lin; Hao Dong 003; Jun Wang 012; Yaodong Yang 001 (IROS, 2022)

A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning. - Bo Liu 039; Xidong Feng; Jie Ren; Luo Mai; Rui Zhu; Haifeng Zhang 002; Jun Wang 012; Yaodong Yang 001 (NeurIPS, 2022)

Multiagent Q-learning with Sub-Team Coordination. - Wenhan Huang; Kai Li 022; Kun Shao; Tianze Zhou; Matthew E. Taylor; Jun Luo 009; Dongge Wang 001; Hangyu Mao; Jianye Hao; Jun Wang 012; Xiaotie Deng (NeurIPS, 2022)

Optimistic Tree Searches for Combinatorial Black-Box Optimization. - Cédric Malherbe; Antoine Grosnit; Rasul Tutunov; Haitham Bou-Ammar; Jun Wang 012 (NeurIPS, 2022)

M2N: Mesh Movement Networks for PDE Solvers. - Wenbin Song; Mingrui Zhang; Joseph G. Wallwork; Junpeng Gao; Zheng Tian 002; Fanglei Sun; Matthew D. Piggott; Junqing Chen; Zuoqiang Shi; Xiang Chen; Jun Wang 012 (NeurIPS, 2022)

Enhancing Safe Exploration Using Safety State Augmentation. - Aivar Sootla; Alexander I. Cowen-Rivers; Jun Wang 012; Haitham Bou-Ammar (NeurIPS, 2022)

Multi-Agent Reinforcement Learning is a Sequence Modeling Problem. - Muning Wen; Jakub Grudzien Kuba; Runji Lin; Weinan Zhang 001; Ying Wen 001; Jun Wang 012; Yaodong Yang 001 (NeurIPS, 2022)

Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning. - Zeren Huang; Wenhao Chen; Weinan Zhang 001; Chuhan Shi; Furui Liu; Hui-Ling Zhen; Mingxuan Yuan; Jianye Hao; Yong Yu 001; Jun Wang 012 (ECML/PKDD (5), 2022)

Masked Gradient-Based Causal Structure Learning. - Ignavier Ng; Shengyu Zhu 001; Zhuangyan Fang; Haoyang Li 002; Zhitang Chen; Jun Wang 012 (SDM, 2022)

Inhomogeneous deep Q-network for time sensitive applications. - Xu Chen 017; Jun Wang 012 (Artif. Intell., 2022)

Measuring the Non-Transitivity in Chess. - Ricky Sanjaya; Jun Wang 012; Yaodong Yang 001 (Algorithms, 2022)

Bilevel learning for large-scale flexible flow shop scheduling. - Longkang Li; Xiaojin Fu; Hui-Ling Zhen; Mingxuan Yuan; Jun Wang 012; Jiawen Lu; Xialiang Tong; Jia Zeng; Dirk Schnieders (Comput. Ind. Eng., 2022)

Debiased Recommendation with User Feature Balancing. - Mengyue Yang; Guohao Cai; Furui Liu; Zhenhua Dong; Xiuqiang He 001; Jianye Hao; Jun Wang 012; Xu Chen 017 (CoRR, 2022)

AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation. - Mohammad Asif Khan 001; Alexander I. Cowen-Rivers; Derrick-Goh-Xin Deik; Antoine Grosnit; Kamil Dreczkowski; Philippe A. Robert; Victor Greiff; Rasul Tutunov; Dany Bou-Ammar; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2022)

Self-consistent Gradient-like Eigen Decomposition in Solving Schrödinger Equations. - Xihan Li 001; Xiang Chen; Rasul Tutunov; Haitham Bou-Ammar; Lei Wang 198; Jun Wang 012 (CoRR, 2022)

Settling the Communication Complexity for Distributed Offline Reinforcement Learning. - Juliusz Krysztof Ziomek; Jun Wang 012; Yaodong Yang 001 (CoRR, 2022)

AD-NEGF: An End-to-End Differentiable Quantum Transport Simulator for Sensitivity Analysis and Inverse Problems. - Yingzhanghao Zhou; Xiang Chen; Peng Zhang 002; Jun Wang 012; Lei Wang 198; Hong Guo (CoRR, 2022)

Generalizable Information Theoretic Causal Representation. - Mengyue Yang; Xinyu Cai; Furui Liu; Xu Chen 017; Zhitang Chen; Jianye Hao; Jun Wang 012 (CoRR, 2022)

BI-GreenNet: Learning Green's functions by boundary integral network. - Guochang Lin; Fukai Chen; Pipi Hu; Xiang Chen; Junqing Chen; Jun Wang 012; Zuoqiang Shi (CoRR, 2022)

A Review of Safe Reinforcement Learning: Methods, Theory and Applications. - Shangding Gu; Long Yang 004; Yali Du 001; Guang Chen 001; Florian Walter; Jun Wang 012; Yaodong Yang 001; Alois C. Knoll (CoRR, 2022)

Sample-Efficient Optimisation with Probabilistic Transformer Surrogates. - Alexandre Maraval; Matthieu Zimmer; Antoine Grosnit; Rasul Tutunov; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2022)

SEREN: Knowing When to Explore and When to Exploit. - Changmin Yu; David Mguni; Dong Li 016; Aivar Sootla; Jun Wang 012; Neil Burgess (CoRR, 2022)

Learning Risk-Averse Equilibria in Multi-Agent Systems. - Oliver Slumbers; David Henry Mguni; Stephen McAleer; Jun Wang 012; Yaodong Yang 001 (CoRR, 2022)

Fully Decentralized Model-based Policy Optimization for Networked Systems. - Yali Du 001; Chengdong Ma; Yuchen Liu; Runji Lin; Hao Dong 003; Jun Wang 012; Yaodong Yang 001 (CoRR, 2022)

Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL. - Jakub Grudzien Kuba; Xidong Feng; Shiyao Ding; Hao Dong 003; Jun Wang 012; Yaodong Yang 001 (CoRR, 2022)

Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training. - Taher Jafferjee; Juliusz Krysztof Ziomek; Tianpei Yang; Zipeng Dai; Jianhong Wang; Matthew E. Taylor; Kun Shao; Jun Wang 012; David Mguni (CoRR, 2022)

Joint Caching and Transmission in the Mobile Edge Network: A Multi-Agent Learning Approach. - Qirui Mi; Ning Yang 005; Haifeng Zhang 002; Haijun Zhang 001; Jun Wang 012 (CoRR, 2022)

Structured Q-learning For Antibody Design. - Alexander I. Cowen-Rivers; Philip John Gorinski; Aivar Sootla; Asif Khan 008; Furui Liu; Jun Wang 012; Jan Peters 001; Haitham Bou-Ammar (CoRR, 2022)

Contextual Transformer for Offline Meta Reinforcement Learning. - Runji Lin; Ye Li 016; Xidong Feng; Zhaowei Zhang; Xian Hong Wu Fung; Haifeng Zhang 002; Jun Wang 012; Yali Du 001; Yaodong Yang 001 (CoRR, 2022)

On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective. - Ying Wen 001; Ziyu Wan; Ming Zhou 006; Shufang Hou; Zhe Cao; Chenyang Le; Jingxiao Chen; Zheng Tian 002; Weinan Zhang 001; Jun Wang 012 (CoRR, 2022)

A bias-variance evaluation framework for information retrieval systems. - Peng Zhang 002; Hui Gao; Zeting Hu; Meng Yang; Dawei Song 001; Jun Wang 012; Yuexian Hou; Bin Hu 001 (Inf. Process. Manag., 2022)

HEBO: An Empirical Study of Assumptions in Bayesian Optimisation. - Alexander I. Cowen-Rivers; Wenlong Lyu; Rasul Tutunov; Zhi Wang 001; Antoine Grosnit; Ryan-Rhys Griffiths; Alexandre Max Maraval; Jianye Hao; Jun Wang 012; Jan Peters 001; Haitham Bou-Ammar (J. Artif. Intell. Res., 2022)

SAMBA: safe model-based & active reinforcement learning. - Alexander I. Cowen-Rivers; Daniel Palenicek; Vincent Moens; Mohammed Amin Abdullah 001; Aivar Sootla; Jun Wang 012; Haitham Bou-Ammar (Mach. Learn., 2022)

Learning to select cuts for efficient mixed-integer programming. - Zeren Huang; Kerong Wang; Furui Liu; Hui-Ling Zhen; Weinan Zhang 001; Mingxuan Yuan; Jianye Hao; Yong Yu 001; Jun Wang 012 (Pattern Recognit., 2022)

Enhanced Discrete Multi-Modal Hashing: More Constraints Yet Less Time to Learn. - Yong Chen 008; Hui Zhang 028; Zhibao Tian; Jun Wang 012; Dell Zhang; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2022)

AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction. - Niannan Xue; Bin Liu 072; Huifeng Guo; Ruiming Tang; Fengwei Zhou; Stefanos Zafeiriou; Yuzhou Zhang; Jun Wang 012; Zhenguo Li (IEEE Trans. Knowl. Data Eng., 2022)

Online Double Oracle. - Le Cong Dinh; Stephen Marcus McAleer; Zheng Tian 002; Nicolas Perez Nieves; Oliver Slumbers; David Henry Mguni; Jun Wang 012; Haitham Bou-Ammar; Yaodong Yang 001 (Trans. Mach. Learn. Res., 2022)

Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank. - Xinyi Dai; Yunjia Xi; Weinan Zhang 001; Qing Liu 020; Ruiming Tang; Xiuqiang He 001; Jiawei Hou; Jun Wang 012; Yong Yu 001 (ACM Trans. Inf. Syst., 2022)

Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications. - Fanglei Sun; Yang Li 116; Ying Wen 001; Jingchen Hu; Jun Wang 012; Yang Yang 001; Kai Li 022 (IEEE Trans. Wirel. Commun., 2022)

Learning to Shape Rewards Using a Game of Two Partners. - 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; et al. (AAAI, 2023)

Is Nash Equilibrium Approximator Learnable? - Zhijian Duan 001; Wenhan Huang; Dinghuai Zhang; Yali Du 001; Jun Wang 012; Yaodong Yang 001; Xiaotie Deng (AAMAS, 2023)

PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. - Xingzhou Lou; Jiaxian Guo; Junge Zhang; Jun Wang 012; Kaiqi Huang; Yali Du 001 (AAMAS, 2023)

Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. - Jiarui Jin; Xianyu Chen; Weinan Zhang 001; Mengyue Yang; Yang Wang 019; Yali Du 001; Yong Yu 001; Jun Wang 012 (CIKM, 2023)

How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances. - Zihan Zhang; Meng Fang; Ling Chen 006; Mohammad-Reza Namazi-Rad; Jun Wang 012 (EMNLP, 2023)

PPO-Based Energy-Efficient Power Control and Spectrum Allocation in In-Vehicle HetNets. - Tianyi Lin; Jun Du 001; Haijun Zhang 001; Arumugam Nallanathan; Jun Wang 012 (GLOBECOM, 2023)

Enhanced Discrete Multi-modal Hashing: More Constraints yet Less Time to Learn (Extended Abstract). - Yong Chen 008; Hui Zhang 028; Zhibao Tian; Jun Wang 012; Dell Zhang; Xuelong Li 001 (ICDE, 2023)

CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation. - Jun Wang 012; Haoxuan Li 001; Chi Zhang; Dongxu Liang; Enyun Yu; Wenwu Ou; Wenjia Wang (ICDM, 2023)

Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. - David Henry Mguni; Aivar Sootla; Juliusz Ziomek; Oliver Slumbers; Zipeng Dai; Kun Shao; Jun Wang 012 (ICLR, 2023)

Order Matters: Agent-by-agent Policy Optimization. - Xihuai Wang; Zheng Tian 002; Ziyu Wan; Ying Wen 001; Jun Wang 012; Weinan Zhang 001 (ICLR, 2023)

MANSA: Learning Fast and Slow in Multi-Agent Systems. - David Henry Mguni; Haojun Chen; Taher Jafferjee; Jianhong Wang; Longfei Yue; Xidong Feng; Stephen Marcus McAleer; Feifei Tong; Jun Wang 012; Yaodong Yang 001 (ICML, 2023)

A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems. - Oliver Slumbers; David Henry Mguni; Stefano B. Blumberg; Stephen Marcus McAleer; Yaodong Yang 001; Jun Wang 012 (ICML, 2023)

GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. - Hanjing Wang; Man-Kit Sit; Congjie He; Ying Wen 001; Weinan Zhang 001; Jun Wang 012; Yaodong Yang 001; Luo Mai (ICML, 2023)

Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions. - Desong Du; Shaohang Han; Naiming Qi; Haitham Bou-Ammar; Jun Wang 012; Wei Pan 004 (ICRA, 2023)

Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer. - Hang Lai; Weinan Zhang 001; Xialin He; Chen Yu; Zheng Tian 002; Yong Yu 001; Jun Wang 012 (ICRA, 2023)

Multi-embodiment Legged Robot Control as a Sequence Modeling Problem. - Chen Yu; Weinan Zhang 001; Hang Lai; Zheng Tian 002; Laurent Kneip; Jun Wang 012 (ICRA, 2023)

Specify Robust Causal Representation from Mixed Observations. - Mengyue Yang; Xinyu Cai; Furui Liu; Weinan Zhang 001; Jun Wang 012 (KDD, 2023)

Online PCA in Converging Self-consistent Field Equations. - Xihan Li 001; Xiang Chen; Rasul Tutunov; Haitham Bou-Ammar; Lei Wang 198; Jun Wang 012 (NeurIPS, 2023)

Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach. - Yudi Zhang 007; Yali Du 001; Biwei Huang; Ziyan Wang; Jun Wang 012; Meng Fang; Mykola Pechenizkiy (NeurIPS, 2023)

ChessGPT: Bridging Policy Learning and Language Modeling. - Xidong Feng; Yicheng Luo; Ziyan Wang; Hongrui Tang; Mengyue Yang; Kun Shao; David Mguni; Yali Du 001; Jun Wang 012 (NeurIPS, 2023)

Lending Interaction Wings to Recommender Systems with Conversational Agents. - Jiarui Jin; Xianyu Chen; Fanghua Ye 001; Mengyue Yang; Yue Feng 002; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (NeurIPS, 2023)

An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination. - Xue Yan; Jiaxian Guo; Xingzhou Lou; Jun Wang 012; Haifeng Zhang 002; Yali Du 001 (NeurIPS, 2023)

Invariant Learning via Probability of Sufficient and Necessary Causes. - Mengyue Yang; Yonggang Zhang 003; Zhen Fang 001; Yali Du 001; Furui Liu; Jean-Francois Ton; Jianhong Wang; Jun Wang 012 (NeurIPS, 2023)

Rectifying Unfairness in Recommendation Feedback Loop. - Mengyue Yang; Jun Wang 012; Jean-Francois Ton (SIGIR, 2023)

Minimizing Age of Information for Mobile Edge Computing Systems: A Nested Index Approach. - Shuo Chen; Ning Yang 005; Meng Zhang 013; Jun Wang 012 (WiOpt, 2023)

MANSA: Learning Fast and Slow in Multi-Agent Systems. - David Mguni; Taher Jafferjee; Haojun Chen; Jianhong Wang; Long Fei; Xidong Feng; Stephen McAleer; Feifei Tong; Jun Wang 012; Yaodong Yang 001 (CoRR, 2023)

GRD: A Generative Approach for Interpretable Reward Redistribution in Reinforcement Learning. - Yudi Zhang 007; Yali Du 001; Biwei Huang; Ziyan Wang; Jun Wang 012; Meng Fang; Mykola Pechenizkiy (CoRR, 2023)

Invariant Learning via Probability of Sufficient and Necessary Causes. - Mengyue Yang; Zhen Fang 001; Yonggang Zhang 003; Yali Du 001; Furui Liu; Jean-Francois Ton; Jun Wang 012 (CoRR, 2023)

Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training. - Xidong Feng; Ziyu Wan; Muning Wen; Ying Wen 001; Weinan Zhang 001; Jun Wang 012 (CoRR, 2023)

Why Can Large Language Models Generate Correct Chain-of-Thoughts? - Rasul Tutunov; Antoine Grosnit; Juliusz Ziomek; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2023)

Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models. - Xue Yan; Yan Song 003; Xinyu Cui; Filippos Christianos; Haifeng Zhang 002; David Henry Mguni; Jun Wang 012 (CoRR, 2023)

Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach. - Weiyu Ma; Qirui Mi; Xue Yan; Yuqiao Wu; Runji Lin; Haifeng Zhang 002; Jun Wang 012 (CoRR, 2023)

Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning. - Filippos Christianos; Georgios Papoudakis; Matthieu Zimmer; Thomas Coste; Zhihao Wu; Jingxuan Chen; Khyati Khandelwal; James Doran; Xidong Feng; Jiacheng Liu; Zheng Xiong; Yicheng Luo; et al. (CoRR, 2023)

MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. - Ming Zhou 006; Ziyu Wan; Hanjing Wang; Muning Wen; Runzhe Wu; Ying Wen 001; Yaodong Yang 001; Yong Yu 001; Jun Wang 012; Weinan Zhang 001 (J. Mach. Learn. Res., 2023)

JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games. - Yang Li 116; Kun Xiong; Yingping Zhang; Jiangcheng Zhu; Stephen Marcus McAleer; Wei Pan 004; Jun Wang 012; Zonghong Dai; Yaodong Yang 001 (Trans. Mach. Learn. Res., 2023)

Offline Pre-trained Multi-agent Decision Transformer. - Linghui Meng 001; Muning Wen; Chenyang Le; Xiyun Li; Dengpeng Xing; Weinan Zhang 001; Ying Wen 001; Haifeng Zhang 002; Jun Wang 012; Yaodong Yang 001; Bo Xu 002 (Mach. Intell. Res., 2023)

Online Markov decision processes with non-oblivious strategic adversary. - Le Cong Dinh; David Henry Mguni; Long Tran-Thanh; Jun Wang 012; Yaodong Yang 001 (Auton. Agents Multi Agent Syst., 2023)

GEO: A Computational Design Framework for Automotive Exterior Facelift. - Jingmin Huang; Bowei Chen 001; Zhi Yan 001; Iadh Ounis; Jun Wang 012 (ACM Trans. Knowl. Discov. Data, 2023)

6G Network AI Architecture for Everyone-Centric Customized Services. - Yang Yang 001; Mulei Ma; Hequan Wu; Quan Yu; Xiaohu You 001; Jianjun Wu; Chenghui Peng; Tak-Shing Peter Yum; A. Hamid Aghvami; Geoffrey Ye Li; Jiangzhou Wang; Guangyi Liu 001; et al. (IEEE Netw., 2023)

Debiased Recommendation with User Feature Balancing. - Mengyue Yang; Guohao Cai; Furui Liu; Jiarui Jin; Zhenhua Dong; Xiuqiang He 001; Jianye Hao; Weiqi Shao; Jun Wang 012; Xu Chen 017 (ACM Trans. Inf. Syst., 2023)

Large sequence models for sequential decision-making: a survey. - Muning Wen; Runji Lin; Hanjing Wang; Yaodong Yang 001; Ying Wen 001; Luo Mai; Jun Wang 012; Hai-Feng Zhang 002; Weinan Zhang 001 (Frontiers Comput. Sci., 2023)

Large Language Models Are Neurosymbolic Reasoners. - Meng Fang; Shilong Deng; Yudi Zhang 007; Zijing Shi; Ling Chen 006; Mykola Pechenizkiy; Jun Wang 012 (AAAI, 2024)

Human-Guided Moral Decision Making in Text-Based Games. - Zijing Shi; Meng Fang; Ling Chen 006; Yali Du 001; Jun Wang 012 (AAAI, 2024)

A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary. - Le Cong Dinh; David Henry Mguni; Long Tran-Thanh; Jun Wang 012; Yaodong Yang 001 (AAMAS, 2024)

TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-agent Reinforcement Learning. - Qirui Mi; Siyu Xia; Yan Song 003; Haifeng Zhang 002; Shenghao Zhu; Jun Wang 012 (AAMAS, 2024)

Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: The Past, Present, and Future. - Yan Song 003; He Jiang; Haifeng Zhang 002; Zheng Tian 002; Weinan Zhang 001; Jun Wang 012 (AAMAS, 2024)

Incremental Model Quantization for Federated Learning in Wireless Networks. - Zheng Qin; Gang Feng 004; Yijing Liu 001; Xiaoqian Li; Fei Wang; Jun Wang 012 (GLOBECOM, 2024)

RACon: Retrieval-Augmented Simulated Character Locomotion Control. - Yuxuan Mu; Shihao Zou; Kangning Yin; Zheng Tian 002; Li Cheng 001; Weinan Zhang 001; Jun Wang 012 (ICME, 2024)

DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning. - Siyuan Guo; Cheng Deng; Ying Wen 001; Hechang Chen; Yi Chang 001; Jun Wang 012 (ICML, 2024)

AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training. - Ziyu Wan; Xidong Feng; Muning Wen; Stephen Marcus McAleer; Ying Wen 001; Weinan Zhang 001; Jun Wang 012 (ICML, 2024)

Language and Sketching: An LLM-driven Interactive Multimodal Multitask Robot Navigation Framework. - Weiqin Zu; Wenbin Song; Ruiqing Chen; Ze Guo; Fanglei Sun; Zheng Tian 002; Wei Pan 004; Jun Wang 012 (ICRA, 2024)

Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting. - Xiong-Hui Chen; Ziyan Wang; Yali Du 001; Shengyi Jiang; Meng Fang; Yang Yu 001; Jun Wang 012 (NeurIPS, 2024)

Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach. - Weiyu Ma; Qirui Mi; Yongcheng Zeng; Xue Yan; Runji Lin; Yuqiao Wu; Jun Wang 012; Haifeng Zhang 002 (NeurIPS, 2024)

Reinforcing LLM Agents via Policy Optimization with Action Decomposition. - Muning Wen; Ziyu Wan; Jun Wang 012; Weinan Zhang 001; Ying Wen 001 (NeurIPS, 2024)

InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. - Jiarui Jin; Zexue He; Mengyue Yang; Weinan Zhang 001; Yong Yu 001; Jun Wang 012; Julian J. McAuley (WWW, 2024)

Learning State-Specific Action Masks for Reinforcement Learning. - Ziyi Wang 004; Xinran Li; Luoyang Sun; Haifeng Zhang 002; Hualin Liu; Jun Wang 012 (Algorithms, 2024)

Entropy-Regularized Token-Level Policy Optimization for Large Language Models. - Muning Wen; Cheng Deng; Jun Wang 012; Weinan Zhang 001; Ying Wen 001 (CoRR, 2024)

Natural Language Reinforcement Learning. - Xidong Feng; Ziyu Wan; Mengyue Yang; Ziyan Wang; Girish A. Koushik; Yali Du 001; Ying Wen 001; Jun Wang 012 (CoRR, 2024)

Bayesian Reward Models for LLM Alignment. - Adam X. Yang; Maxime Robeyns; Thomas Coste; Jun Wang 012; Haitham Bou-Ammar; Laurence Aitchison (CoRR, 2024)

ZSL-RPPO: Zero-Shot Learning for Quadrupedal Locomotion in Challenging Terrains using Recurrent Proximal Policy Optimization. - Yao Zhao; Tao Wu; Yijie Zhu; Xiang Lu; Jun Wang 012; Haitham Bou-Ammar; Xinyu Zhang; Peng Du (CoRR, 2024)

Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem. - Jingxiao Chen; Ziqin Gong; Minghuan Liu; Jun Wang 012; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

Learning Macroeconomic Policies based on Microfoundations: A Stackelberg Mean Field Game Approach. - Qirui Mi; Zhiyu Zhao; Siyu Xia; Yan Song 003; Jun Wang 012; Haifeng Zhang 002 (CoRR, 2024)

Circuit Transformer: End-to-end Circuit Design by Predicting the Next Gate. - Xihan Li 001; Xing Li; Lei Chen 002; Xing Zhang; Mingxuan Yuan; Jun Wang 012 (CoRR, 2024)

Correlated Mean Field Imitation Learning. - Zhiyu Zhao; Ning Yang 005; Xue Yan; Haifeng Zhang 002; Jun Wang 012; Yaodong Yang 001 (CoRR, 2024)

Reinforcing Language Agents via Policy Optimization with Action Decomposition. - Muning Wen; Ziyu Wan; Weinan Zhang 001; Jun Wang 012; Ying Wen 001 (CoRR, 2024)

Attaining Human's Desirable Outcomes in Human-AI Interaction via Structural Causal Games. - Anjie Liu; Jianhong Wang; Haoxuan Li 001; Xu Chen 017; Jun Wang 012; Samuel Kaski; Mengyue Yang (CoRR, 2024)

Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf. - Xuanfa Jin; Ziyan Wang; Yali Du 001; Meng Fang; Haifeng Zhang 002; Jun Wang 012 (CoRR, 2024)

Logic Synthesis with Generative Deep Neural Networks. - Xihan Li 001; Xing Li; Lei Chen 002; Xing Zhang; Mingxuan Yuan; Jun Wang 012 (CoRR, 2024)

ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. - 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; et al. (CoRR, 2024)

Human-like Episodic Memory for Infinite Context LLMs. - Zafeirios Fountas; Martin Benfeghoul; Adnan Oomerjee; Fenia Christopoulou; Gerasimos Lampouras; Haitham Bou-Ammar; Jun Wang 012 (CoRR, 2024)

HMDN: Hierarchical Multi-Distribution Network for Click-Through Rate Prediction. - Xingyu Lou; Yu Yang 015; Kuiyao Dong; Heyuan Huang; Wenyi Yu; Ping Wang; Xiu Li 001; Jun Wang 012 (CoRR, 2024)

GenSim: A General Social Simulation Platform with Large Language Model based Agents. - Jiakai Tang; Heyang Gao; Xuchen Pan; Lei Wang 198; Haoran Tan; Dawei Gao; Yushuo Chen; Xu Chen 017; Yankai Lin; Yaliang Li; Bolin Ding; Jingren Zhou 001; et al. (CoRR, 2024)

SparsePO: Controlling Preference Alignment of LLMs via Sparse Token Masks. - Fenia Christopoulou; Ronald Cardenas; Gerasimos Lampouras; Haitham Bou-Ammar; Jun Wang 012 (CoRR, 2024)

Efficient Reinforcement Learning with Large Language Model Priors. - Xue Yan; Yan Song 003; Xidong Feng; Mengyue Yang; Haifeng Zhang 002; Haitham Bou-Ammar; Jun Wang 012 (CoRR, 2024)

OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models. - Jun Wang 012; Meng Fang; Ziyu Wan; Muning Wen; Jiachen Zhu 001; Anjie Liu; Ziqin Gong; Yan Song 003; Lei Chen 002; Lionel M. Ni; Linyi Yang; Ying Wen 001; et al. (CoRR, 2024)

DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents. - Taiyi Wang; Zhihao Wu; Jianheng Liu; Jianye Hao; Jun Wang 012; Kun Shao (CoRR, 2024)

Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level. - Antoine Grosnit; Alexandre Maraval; James Doran; Giuseppe Paolo; Albert Thomas 001; Refinath Shahul Hameed Nabeezath Beevi; Jonas Gonzalez; Khyati Khandelwal; Ignacio Iacobacci; Abdelhakim Benechehab; Hamza Cherkaoui; Youssef Attia El Hili; et al. (CoRR, 2024)

Multi-LLM-Agent Systems: Techniques and Business Perspectives. - Yingxuan Yang; Qiuying Peng; Jun Wang 012; Weinan Zhang 001 (CoRR, 2024)

Natural Language Reinforcement Learning. - Xidong Feng; Ziyu Wan; Haotian Fu; Bo Liu 039; Mengyue Yang; Girish A. Koushik; Zhiyuan Hu; Ying Wen 001; Jun Wang 012 (CoRR, 2024)

A survey on algorithms for Nash equilibria in finite normal-form games. - Hanyu Li; Wenhan Huang; Zhijian Duan 001; David Henry Mguni; Kun Shao; Jun Wang 012; Xiaotie Deng (Comput. Sci. Rev., 2024)

Cross-Utterance Conditioned VAE for Speech Generation. - Yang Li 116; Cheng Yu; Guangzhi Sun; Weiqin Zu; Zheng Tian 002; Ying Wen 001; Wei Pan 004; Chao Zhang 031; Jun Wang 012; Yang Yang 001; Fanglei Sun (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Manas: multi-agent neural architecture search. - Vasco Lopes; Fabio Maria Carlucci; Pedro M. Esperança; Marco Singh; Antoine Yang; Victor Gabillon; Hang Xu; Zewei Chen; Jun Wang 012 (Mach. Learn., 2024)

Task-Oriented 6G Native-AI Network Architecture. - Yang Yang 001; Jianjun Wu; Tianjiao Chen; Chenghui Peng; Jun Wang 012; Juan Deng; Xiaofeng Tao; Guangyi Liu 001; Wenjing Li 001; Li Yang; Yufeng He; Tingting Yang 001; et al. (IEEE Netw., 2024)

Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving. - Xiangkun He; Jingda Wu; Zhiyu Huang; Zhongxu Hu; Jun Wang 012; Alberto L. Sangiovanni-Vincentelli; Chen Lv (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

An Empirical Study on Google Research Football Multi-agent Scenarios. - Yan Song 003; He Jiang; Zheng Tian 002; Haifeng Zhang 002; Yingping Zhang; Jiangcheng Zhu; Zonghong Dai; Weinan Zhang 001; Jun Wang 012 (Mach. Intell. Res., 2024)

Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels. - Yang Li 116; Fanglei Sun; Jingchen Hu; Chang Liu; Fan Wu 006; Kai Li 022; Ying Wen 001; Zheng Tian 002; Yaodong Yang 001; Jiangcheng Zhu; Zhifeng Chen; Jun Wang 012; et al. (IEEE Trans. Mob. Comput., 2024)

A Review of Safe Reinforcement Learning: Methods, Theories, and Applications. - Shangding Gu; Long Yang 004; Yali Du 001; Guang Chen 001; Florian Walter; Jun Wang 012; Alois Knoll (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning. - Jiachen Zhu 001; Congmin Zheng; Jianghao Lin; Kounianhua Du; Ying Wen 001; Yong Yu 001; Jun Wang 012; Weinan Zhang 001 (ACL (Findings), 2025)

Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation. - Kounianhua Du; Hanjing Wang; Jianxing Liu; Jizheng Chen; Xinyi Dai; Yasheng Wang; Ruiming Tang; Yong Yu 001; Jun Wang 012; Weinan Zhang 001 (ACL (Findings), 2025)

PIE: Permutation-Invariant Multi-Entity Evaluation. - Xue Yan; Haifeng Zhang; Yali Du 001; Jun Wang 012 (CoG, 2025)

Variational Perturbation Personalized Federated Learning via Prior-Posterior Distance. - Hefeng Zhou; Yuanbin Wang; Jun Wang 012; Jiong Lou; Wugedele Bao; Chentao Wu; Jie Li 002 (ICASSP, 2025)

Circuit Transformer: A Transformer That Preserves Logical Equivalence. - Xihan Li 001; Xing Li; Lei Chen 002; Xing Zhang; Mingxuan Yuan; Jun Wang 012 (ICLR, 2025)

Spa-Bench: a comprehensive Benchmark for Smartphone Agent Evaluation. - Jingxuan Chen; Derek Yuen; Bin Xie; Yuhao Yang; Gongwei Chen; Zhihao Wu; Li Yixing; Xurui Zhou; Weiwen Liu; Shuai Wang 020; Kaiwen Zhou; Rui Shao 001; et al. (ICLR, 2025)

Lightweight Neural App Control. - Filippos Christianos; Georgios Papoudakis; Thomas Coste; Jianye Hao; Jun Wang 012; Kun Shao (ICLR, 2025)

Human-inspired Episodic Memory for Infinite Context LLMs. - Zafeirios Fountas; Martin Benfeghoul; Adnan Oomerjee; Fenia Christopoulou; Gerasimos Lampouras; Haitham Bou-Ammar; Jun Wang 012 (ICLR, 2025)

Robust Function-Calling for On-Device Language Model via Function Masking. - Qiqiang Lin; Muning Wen; Qiuying Peng; Guanyu Nie; Junwei Liao; Jun Wang 012; Xiaoyun Mo; Jiamu Zhou; Cheng Cheng; Yin Zhao; Jun Wang 012; Weinan Zhang 001 (ICLR, 2025)

Robust Function-Calling for On-Device Language Model via Function Masking. - Qiqiang Lin; Muning Wen; Qiuying Peng; Guanyu Nie; Junwei Liao; Jun Wang 012; Xiaoyun Mo; Jiamu Zhou; Cheng Cheng; Yin Zhao; Jun Wang 012; Weinan Zhang 001 (ICLR, 2025)

On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models. - Xu-Hui Liu; Yali Du 001; Jun Wang 012; Yang Yu 001 (ICLR, 2025)

DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent. - Taiyi Wang; Zhihao Wu; Jianheng Liu; Jianye Hao; Jun Wang 012; Kun Shao (ICLR, 2025)

Mixture of Attentions For Speculative Decoding. - Matthieu Zimmer; Milan Gritta; Gerasimos Lampouras; Haitham Bou-Ammar; Jun Wang 012 (ICLR, 2025)

Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction. - Taher Jafferjee; Juliusz Ziomek; Tianpei Yang; Zipeng Dai; Jianhong Wang; Matthew E. Taylor; Kun Shao; Jun Wang 012; David Mguni (AAMAS, 2025)

Unlocking the Potential of Decentralized LLM-based MAS: Privacy Preservation and Monetization in Collective Intelligence. - Yingxuan Yang; Qiuying Peng; Jun Wang 012; Ying Wen 001; Weinan Zhang 001 (AAMAS, 2025)

Mean Field Correlated Imitation Learning. - Zhiyu Zhao; Chengdong Ma; Qirui Mi; Ning Yang 005; Xue Yan; Mengyue Yang; Haifeng Zhang; Jun Wang 012; Yaodong Yang 001 (AAMAS, 2025)

Why Not Together? A Multiple-Round Recommender System for Queries and Items. - Jiarui Jin; Xianyu Chen; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (KDD (1), 2025)

Efficient Federated Learning in Wireless Networks With Incremental Model Quantization and Uploading. - Zheng Qin; Gang Feng 004; Yi-Jing Liu 001; Tak-Shing Peter Yum; Fei Wang; Jun Wang 012 (IEEE Trans. Netw. Sci. Eng., 2025)

Almost Surely Safe Alignment of Large Language Models at Inference-Time. - Xiaotong Ji; Shyam Sundhar Ramesh; Matthieu Zimmer; Ilija Bogunovic; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2025)

ARIES: Stimulating Self-Refinement of Large Language Models by Iterative Preference Optimization. - Yongcheng Zeng; Xinyu Cui; Xuanfa Jin; Guoqing Liu; Zexu Sun; Quan He; Dong Li 016; Ning Yang 005; Jianye Hao; Haifeng Zhang; Jun Wang 012 (CoRR, 2025)

AppVLM: A Lightweight Vision Language Model for Online App Control. - Georgios Papoudakis; Thomas Coste; Zhihao Wu; Jianye Hao; Jun Wang 012; Kun Shao (CoRR, 2025)

VSC-RL: Advancing Autonomous Vision-Language Agents with Variational Subgoal-Conditioned Reinforcement Learning. - Qingyuan Wu; Jianheng Liu; Jianye Hao; Jun Wang 012; Kun Shao (CoRR, 2025)

Activation-aware Probe-Query: Effective Key-Value Retrieval for Long-Context LLMs Inference. - Qingfa Xiao; Jiachuan Wang; Haoyang Li 002; Cheng Deng; Jiaqi Tang; Shuangyin Li; Yongqi Zhang; Jun Wang 012; Lei Chen 002 (CoRR, 2025)

Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values. - Hongbo Zhang; Han Cui; Guangsheng Bao; Linyi Yang; Jun Wang 012; Yue Zhang 004 (CoRR, 2025)

ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning. - Shulin Huang; Linyi Yang; Yan Song 003; Shuang Chen; Leyang Cui; Ziyu Wan; Qingcheng Zeng; Ying Wen 001; Kun Shao; Weinan Zhang 001; Jun Wang 012; Yue Zhang 004 (CoRR, 2025)

Generative Models in Decision Making: A Survey. - Yinchuan Li; Xinyu Shao; Jianping Zhang; Haozhi Wang; Leo Maxime Brunswic; Kaiwen Zhou; Jiqian Dong; Kaiyang Guo; Xiu Li 001; Zhitang Chen; Jun Wang 012; Jianye Hao (CoRR, 2025)

ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning. - Ziyu Wan; Yunxiang Li; Yan Song 003; Hanjing Wang; Linyi Yang; Mark Schmidt 001; Jun Wang 012; Weinan Zhang 001; Shuyue Hu; Ying Wen 001 (CoRR, 2025)

PLM: Efficient Peripheral Language Models Hardware-Co-Designed for Ubiquitous Computing. - Cheng Deng; Luoyang Sun; Jiwen Jiang; Yongcheng Zeng; Xinjian Wu; Wenxin Zhao; Qingfa Xiao; Jiachuan Wang; Haoyang Li 002; Lei Chen 002; Lionel M. Ni; Haifeng Zhang; et al. (CoRR, 2025)

Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models. - Siyuan Guo; Huiwu Liu; Xiaolong Chen; Yuming Xie; Liang Zhang; Tao Han; Hechang Chen; Yi Chang 001; Jun Wang 012 (CoRR, 2025)

User Behavior Simulation with Large Language Model-based Agents. - Lei Wang 198; Jingsen Zhang; Hao Yang; Zhiyuan Chen; Jiakai Tang; Zeyu Zhang 007; Xu Chen 017; Yankai Lin; Hao Sun 002; Ruihua Song; Xin Zhao 018; Jun Xu 001; et al. (ACM Trans. Inf. Syst., 2025)

ViMo: A Generative Visual GUI World Model for App Agent. - Dezhao Luo; Bohan Tang; Kang Li; Georgios Papoudakis; Jifei Song; Shaogang Gong; Jianye Hao; Jun Wang 012; Kun Shao (CoRR, 2025)

MF-LLM: Simulating Collective Decision Dynamics via a Mean-Field Large Language Model Framework. - Qirui Mi; Mengyue Yang; Xiangning Yu 001; Zhiyu Zhao; Cheng Deng; Bo An 001; Haifeng Zhang; Xu Chen; Jun Wang 012 (CoRR, 2025)

Robust Multiobjective Reinforcement Learning Considering Environmental Uncertainties. - Xiangkun He; Jianye Hao; Xu Chen 017; Jun Wang 012; Xuewu Ji; Chen Lv (IEEE Trans. Neural Networks Learn. Syst., 2025)

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond. - Shangding Gu; Donghao Ying; Ming Jin 002; Yu Joe Lu; Jun Wang 012; Javad Lavaei; Costas J. Spanos (CoRR, 2025)

Bottlenecked Transformers: Periodic KV Cache Abstraction for Generalised Reasoning. - Adnan Oomerjee; Zafeirios Fountas; Zhongwei Yu; Haitham Bou-Ammar; Jun Wang 012 (CoRR, 2025)

Risk-aware Direct Preference Optimization under Nested Risk Measure. - Lijun Zhang; Lin Li 090; Yajie Qi; Huizhong Song; Yaodong Yang 001; Jun Wang 012; Wei Wei 018 (CoRR, 2025)

Enhancing Efficiency and Propulsion in Bio-mimetic Robotic Fish through End-to-End Deep Reinforcement Learning. - Xinyu Cui; Boai Sun; Yi Zhu; Ning Yang 005; Haifeng Zhang; Weicheng Cui; Dixia Fan; Jun Wang 012 (CoRR, 2025)

Large Language Models are Demonstration Pre-Selectors for Themselves. - Jiarui Jin; Yuwei Wu; Haoxuan Li 001; Xiaoting He; Weinan Zhang 001; Yiming Yang; Yong Yu 001; Jun Wang 012; Mengyue Yang (CoRR, 2025)

Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning. - Xiangning Yu 001; Zhuohan Wang; Linyi Yang; Haoxuan Li 001; Anjie Liu; Xiao Xue 001; Jun Wang 012; Mengyue Yang (CoRR, 2025)

GTA: Grouped-head latenT Attention. - Luoyang Sun; Jiwen Jiang; Cheng Deng; Xinjian Wu; Haifeng Zhang; Lei Chen 002; Lionel M. Ni; Jun Wang 012 (CoRR, 2025)

Beyond Syntax: Action Semantics Learning for App Agents. - Bohan Tang; Dezhao Luo; Jingxuan Chen; Shaogang Gong; Jianye Hao; Jun Wang 012; Kun Shao (CoRR, 2025)

Deep Research Agents: A Systematic Examination And Roadmap. - Yuxuan Huang; Yihang Chen; Haozheng Zhang; Kang Li; Meng Fang; Linyi Yang; Xiaoguang Li; Lifeng Shang; Songcen Xu; Jianye Hao; Kun Shao; Jun Wang 012 (CoRR, 2025)

Kling-Foley: Multimodal Diffusion Transformer for High-Quality Video-to-Audio Generation. - Jun Wang 012; Xijuan Zeng; Chunyu Qiang; Ruilong Chen; Shiyao Wang 001; Le Wang; Wangjing Zhou; Pengfei Cai; Jiahui Zhao; Nan Li; Zihan Li; Yuzhe Liang; et al. (CoRR, 2025)

Ark: An Open-source Python-based Framework for Robot Learning. - Magnus Dierking; Christopher E. Mower; Sarthak Das; Helong Huang; Jiacheng Qiu; Cody Reading; Wei Chen; Huidong Liang; Guowei Huang; Jan Peters 001; Xingyue Quan; Jun Wang 012; et al. (CoRR, 2025)

Bourbaki: Self-Generated and Goal-Conditioned MDPs for Theorem Proving. - Matthieu Zimmer; Xiaotong Ji; Rasul Tutunov; Anthony Bordg; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2025)

Agent Exchange: Shaping the Future of AI Agent Economics. - Yingxuan Yang; Ying Wen 001; Jun Wang 012; Weinan Zhang 001 (CoRR, 2025)

SpatialViz-Bench: Automatically Generated Spatial Visualization Reasoning Tasks for MLLMs. - Siting Wang; Luoyang Sun; Cheng Deng; Kun Shao; Minnan Pei; Zheng Tian 002; Haifeng Zhang 002; Jun Wang 012 (CoRR, 2025)

LoopServe: An Adaptive Dual-phase LLM Inference Acceleration System for Multi-Turn Dialogues. - Haoyang Li 002; Zhanchao Xu; Yiming Li; Xuejia Chen; Darian Li; Anxin Tian; Qingfa Xiao; Cheng Deng; Jun Wang 012; Qing Li 001; Lei Chen 002; Mingxuan Yuan (CoRR, 2025)

MobileUse: A GUI Agent with Hierarchical Reflection for Autonomous Mobile Operation. - Ning Li 029; Xiangmou Qu; Jiamu Zhou; Jun Wang 012; Muning Wen; Kounianhua Du; Xingyu Lou; Qiuying Peng; Jun Wang 012; Weinan Zhang 001 (CoRR, 2025)

MobileUse: A GUI Agent with Hierarchical Reflection for Autonomous Mobile Operation. - Ning Li 029; Xiangmou Qu; Jiamu Zhou; Jun Wang 012; Muning Wen; Kounianhua Du; Xingyu Lou; Qiuying Peng; Jun Wang 012; Weinan Zhang 001 (CoRR, 2025)

Agentic Web: Weaving the Next Web with AI Agents. - Yingxuan Yang; Mulei Ma; Yuxuan Huang; Huacan Chai; Chenyu Gong; Haoran Geng; Yuanjian Zhou; Ying Wen 001; Meng Fang; Muhao Chen 001; Shangding Gu; Ming Jin 002; et al. (CoRR, 2025)

AudioGen-Omni: A Unified Multimodal Diffusion Transformer for Video-Synchronized Audio, Speech, and Song Generation. - Le Wang; Jun Wang 012; Chunyu Qiang; Feng Deng; Chen Zhang 013; Di Zhang; Kun Gai (CoRR, 2025)