Jun Wang

According to our database, Jun Wang authored at least 188 papers between 2003 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games.

Xiaotie Deng, Yuhao Li, David Mguni, Jun Wang, Yaodong Yang

Electron. Colloquium Comput. Complex., 2021

A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers.

Chenguang Wang, Yaodong Yang, Oliver Slumbers, Congying Han, Tiande Guo, Haifeng Zhang, Jun Wang

CoRR, 2021

DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention.

David Mguni, Joel Jennings, Taher Jafferjee, Aivar Sootla, Yaodong Yang, Changmin Yu, Usman Islam, Ziyan Wang, Jun Wang

CoRR, 2021

Measuring the Non-Transitivity in Chess.

Ricky Sanjaya, Jun Wang, Yaodong Yang

CoRR, 2021

Online Markov Decision Processes with Non-oblivious Strategic Adversary.

Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang

CoRR, 2021

Multi-Agent Constrained Policy Optimisation.

Shangding Gu, Jakub Grudzien Kuba, Muning Wen, Ruiqing Chen, Ziyan Wang, Zheng Tian, Jun Wang, Alois C. Knoll, Yaodong Yang

CoRR, 2021

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning.

Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang

CoRR, 2021

Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics.

Yixin Wu, Rui Luo, Chen Zhang, Jun Wang, Yaodong Yang

CoRR, 2021

Settling the Variance of Multi-Agent Policy Gradients.

Jakub Grudzien Kuba, Muning Wen, Yaodong Yang, Linghui Meng, Shangding Gu, Haifeng Zhang, David Henry Mguni, Jun Wang

CoRR, 2021

MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning.

Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Weinan Zhang, Jun Wang

CoRR, 2021

A Game-Theoretic Approach to Multi-Agent Trust Region Optimization.

Ying Wen, Hui Chen, Yaodong Yang, Zheng Tian, Minne Li, Xu Chen, Jun Wang

CoRR, 2021

Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games.

Xidong Feng, Oliver Slumbers, Yaodong Yang, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang

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, Feifei Tong, Hui Chen, Jiangcheng Zhu, Yali Du, Jun Wang

CoRR, 2021

Modelling Behavioural Diversity for Learning in Open-Ended Games.

Nicolas Perez Nieves, Yaodong Yang, Oliver Slumbers, David Henry Mguni, Jun Wang

CoRR, 2021

Online Double Oracle.

Le Cong Dinh, Yaodong Yang, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Haitham Bou-Ammar, Jun Wang

CoRR, 2021

Reinforcement learning control of constrained dynamic systems with uniformly ultimate boundedness stability guarantee.

Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan

Autom., 2021

Modelling Behavioural Diversity for Learning in Open-Ended Games.

Nicolas Perez Nieves, Yaodong Yang, Oliver Slumbers, David Henry Mguni, Ying Wen, Jun Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning in Nonzero-Sum Stochastic Games with Potentials.

David Henry Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Retrospective Thinking based Multi-Agent System for Wireless Video Transmissions.

Yang Li, Fanglei Sun, Wenbin Song, Ying Wen, Kai Li, Jun Wang, Yang Yang

Proceedings of the ICC 2021, 2021

Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems.

Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou-Ammar, Jun Wang, Matthew E. Taylor

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Strongly Constrained Discrete Hashing.

Yong Chen, Zhibao Tian, Hui Zhang, Jun Wang, Dell Zhang

IEEE Trans. Image Process., 2020

Actor-Critic Reinforcement Learning for Control With Stability Guarantee.

Minghao Han, Lixian Zhang, Jun Wang, Wei Pan

IEEE Robotics Autom. Lett., 2020

An Overview of Multi-Agent Reinforcement Learning from Game Theoretical Perspective.

Yaodong Yang, Jun Wang

CoRR, 2020

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving.

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 Imani Cowen-Rivers, Zheng Tian, Daniel Palenicek, Haitham Bou-Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang

CoRR, 2020

Learning to Model Opponent Learning.

Ian Davies, Zheng Tian, Jun Wang

CoRR, 2020

Compositional ADAM: An Adaptive Compositional Solver.

Rasul Tutunov, Minne Li, Jun Wang, Haitham Bou-Ammar

CoRR, 2020

A Deep Recurrent Survival Model for Unbiased Ranking.

Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation.

Xu Chen, Changying Du, Xiuqiang He, Jun Wang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Replica-Exchange Nosé-Hoover Dynamics for Bayesian Learning on Large Datasets.

Rui Luo, Qiang Zhang, Yaodong Yang, Jun Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning.

Ying Wen, Yaodong Yang, Jun Wang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Multi-Agent Determinantal Q-Learning.

Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Mguni, Weinan Zhang

Proceedings of the 37th International Conference on Machine Learning, 2020

Multi-Agent Interactions Modeling with Correlated Policies.

Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu

Proceedings of the 8th International Conference on Learning Representations, 2020

Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search.

Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink

Proceedings of the Computer Vision - ECCV 2020, 2020

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving.

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 Imani 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

Proceedings of the 4th Conference on Robot Learning, 2020

Learning to Infer User Hidden States for Online Sequential Advertising.

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

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

U-rank: Utility-oriented Learning to Rank with Implicit Feedback.

Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Sequential Advertising Agent with Interpretable User Hidden Intents.

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

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Bi-Level Actor-Critic for Multi-Agent Coordination.

Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning to Communicate Implicitly by Actions.

Zheng Tian, Shihao Zou, Ian Davies, Tim Warr, Lisheng Wu, Haitham Bou-Ammar, Jun Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning to Model Opponent Learning (Student Abstract).

Ian Davies, Zheng Tian, Jun Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

H_∞ Model-free Reinforcement Learning with Robust Stability Guarantee.

Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan

CoRR, 2019

Wasserstein Robust Reinforcement Learning.

Mohammed Amin Abdullah, Hang Ren, Haitham Bou-Ammar, Vladimir Milenkovic, Rui Luo, Mingtian Zhang, Jun Wang

CoRR, 2019

Optimizing Object-based Perception and Control by Free-Energy Principle.

Minne Li, Pranav Nashikkar, Jun Wang

CoRR, 2019

Infer Your Enemies and Know Yourself, Learning in Real-Time Bidding with Partially Observable Opponents.

Manxing Du, Alexander Imani Cowen-Rivers, Ying Wen, Phu Sakulwongtana, Jun Wang, Mats Brorsson, Radu State

CoRR, 2019

Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning.

Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Zhichen Gong, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye

CoRR, 2019

Multi-Agent Generalized Recursive Reasoning.

Ying Wen, Yaodong Yang, Rui Lu, Jun Wang

CoRR, 2019

Fog Services and Enabling Technologies.

Yang Yang, Tao Zhang, Jun Wang, Nanxi Chen, Rhonda A. Dirvin

IEEE Commun. Mag., 2019

Layout Design for Intelligent Warehouse by Evolution With Fitness Approximation.

Haifeng Zhang, Zilong Guo, Weinan Zhang, Han Cai, Chris Wang, Yong Yu, Wenxin Li, Jun Wang

IEEE Access, 2019

Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning.

Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye

Proceedings of the World Wide Web Conference, 2019

Multi-View Reinforcement Learning.

Minne Li, Lisheng Wu, Jun Wang, Haitham Bou-Ammar

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Regularized Opponent Model with Maximum Entropy Objective.

Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

BayesNAS: A Bayesian Approach for Neural Architecture Search.

Hongpeng Zhou, Minghao Yang, Jun Wang, Wei Pan

Proceedings of the 36th International Conference on Machine Learning, 2019

Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning.

Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan

Proceedings of the 7th International Conference on Learning Representations, 2019

Know Your Enemies and Know Yourself in the Real-Time Bidding Function Optimisation.

Manxing Du, Alexander Imani Cowen-Rivers, Ying Wen, Phu Sakulwongtana, Jun Wang, Mats Brorsson, Radu State

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Modeling User Return Time Using Inhomogeneous Poisson Process.

Mohammad Akbari, Alberto Cetoli, Stefano Bragaglia, Andrew D. O'Harney, Marc Sloan, Jun Wang

Proceedings of the Advances in Information Retrieval, 2019

Factorized Q-learning for large-scale multi-agent systems.

Ming Zhou, Yong Chen, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang

Proceedings of the First International Conference on Distributed Artificial Intelligence, 2019

MarlRank: Multi-agent Reinforced Learning to Rank.

Shihao Zou, Zhonghua Li, Mohammad Akbari, Jun Wang, Peng Zhang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Learning Adaptive Display Exposure for Real-Time Advertising.

Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms.

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

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds.

Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising.

Kan Ren, Weinan Zhang, Ke Chang, Yifei Rong, Yong Yu, Jun Wang

IEEE Trans. Knowl. Data Eng., 2018

DEBTS: Delay Energy Balanced Task Scheduling in Homogeneous Fog Networks.

Yang Yang, Shuang Zhao, Wuxiong Zhang, Yu Chen, Xiliang Luo, Jun Wang

IEEE Internet Things J., 2018

Learning Shared Dynamics with Meta-World Models.

Lisheng Wu, Minne Li, Jun Wang

CoRR, 2018

Learning Multi-agent Implicit Communication Through Actions: A Case Study in Contract Bridge, a Collaborative Imperfect-Information Game.

Zheng Tian, Shihao Zou, Tim Warr, Lisheng Wu, Jun Wang

CoRR, 2018

Factorized Q-Learning for Large-Scale Multi-Agent Systems.

Yong Chen, Ming Zhou, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang, Han Liu

CoRR, 2018

Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning.

Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Yixi Wang, Han Li, Jian Xu, Kun Gai

CoRR, 2018

Neural Text Generation: Past, Present and Beyond.

Sidi Lu, Yaoming Zhu, Weinan Zhang, Jun Wang, Yong Yu

CoRR, 2018

DECCO: Deep-Learning Enabled Coverage and Capacity Optimization for Massive MIMO Systems.

Yang Yang, Yang Li, Kai Li, Shuang Zhao, Rui Chen, Jun Wang, Song Ci

IEEE Access, 2018

Texygen: A Benchmarking Platform for Text Generation Models.

Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, Yong Yu

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning.

Rui Luo, Jianhong Wang, Yaodong Yang, Jun Wang, Zhanxing Zhu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Design Games: Strategic Environments in Reinforcement Learning.

Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Yin Wen, Yong Yu, Wenxin Li

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

On the Equilibrium of Query Reformulation and Document Retrieval.

Shihao Zou, Guanyu Tao, Jun Wang, Weinan Zhang, Dell Zhang

Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018

Mean Field Multi-Agent Reinforcement Learning.

Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang

Proceedings of the 35th International Conference on Machine Learning, 2018

Activation Maximization Generative Adversarial Nets.

Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu

Proceedings of the 6th International Conference on Learning Representations, 2018

Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising.

Kan Ren, Yuchen Fang, Weinan Zhang, Shuhao Liu, Jiajun Li, Ya Zhang, Yong Yu, Jun Wang

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising.

Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A Study of AI Population Dynamics with Million-agent Reinforcement Learning.

Yaodong Yang, Lantao Yu, Yiwei Bai, Ying Wen, Weinan Zhang, Jun Wang

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence.

Lianmin Zheng, Jiacheng Yang, Han Cai, Ming Zhou, Weinan Zhang, Jun Wang, Yong Yu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

A Neural Stochastic Volatility Model.

Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Long Text Generation via Adversarial Training with Leaked Information.

Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Efficient Architecture Search by Network Transformation.

Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting.

Jun Wang, Weinan Zhang, Shuai Yuan

Found. Trends Inf. Retr., 2017

MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence.

Lianmin Zheng, Jiacheng Yang, Han Cai, Weinan Zhang, Jun Wang, Yong Yu

CoRR, 2017

An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning.

Yaodong Yang, Lantao Yu, Yiwei Bai, Jun Wang, Weinan Zhang, Ying Wen, Yong Yu

CoRR, 2017

Generative Adversarial Nets with Labeled Data by Activation Maximization.

Zhiming Zhou, Shu Rong, Han Cai, Weinan Zhang, Yong Yu, Jun Wang

CoRR, 2017

Learning to Design Games: Strategic Environments in Deep Reinforcement Learning.

Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Ying Wen, Yong Yu, Wenxin Li

CoRR, 2017

Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games.

Peng Peng, Quan Yuan, Ying Wen, Yaodong Yang, Zhenkun Tang, Haitao Long, Jun Wang

CoRR, 2017

Reinforcement Learning for Architecture Search by Network Transformation.

Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang

CoRR, 2017

Managing Risk of Bidding in Display Advertising.

Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Real-Time Bidding by Reinforcement Learning in Display Advertising.

Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models.

Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration.

Xuejian Wang, Lantao Yu, Kan Ren, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Content Recommendation by Noise Contrastive Transfer Learning of Feature Representation.

Yiyang Li, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient.

Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Dynamic Information Retrieval Modeling

Grace Hui Yang, Marc Sloan, Jun Wang

Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan & Claypool Publishers, 2016

Optimal Real-Time Bidding Frameworks Discussion.

Weinan Zhang, Kan Ren, Jun Wang

CoRR, 2016

Learning text representation using recurrent convolutional neural network with highway layers.

Ying Wen, Weinan Zhang, Rui Luo, Jun Wang

CoRR, 2016

Feature Selection as a Multiagent Coordination Problem.

Kleanthis Malialis, Jun Wang, Gary Brooks, George Frangou

CoRR, 2016

Feedback Control of Real-Time Display Advertising.

Weinan Zhang, Yifei Rong, Jun Wang, Tianchi Zhu, Xiaofan Wang

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Bayesian Performance Comparison of Text Classifiers.

Dell Zhang, Jun Wang, Emine Yilmaz, Xiaoling Wang, Yuxin Zhou

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Functional Bid Landscape Forecasting for Display Advertising.

Yuchen Wang, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Value at Risk for Risk Evaluation in Information Retrieval.

Meijia Wang, Peng Zhang, Dawei Song, Jun Wang

Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising.

Weinan Zhang, Tianxiong Zhou, Jun Wang, Jian Xu

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Product-Based Neural Networks for User Response Prediction.

Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Deep Learning over Multi-field Categorical Data - - A Case Study on User Response Prediction.

Weinan Zhang, Tianming Du, Jun Wang

Proceedings of the Advances in Information Retrieval, 2016

Implicit Look-Alike Modelling in Display Ads - Transfer Collaborative Filtering to CTR Estimation.

Weinan Zhang, Lingxi Chen, Jun Wang

Proceedings of the Advances in Information Retrieval, 2016

Real-Time Bidding Based Display Advertising: Mechanisms and Algorithms.

Jun Wang, Shuai Yuan, Weinan Zhang

Proceedings of the Advances in Information Retrieval, 2016

User Response Learning for Directly Optimizing Campaign Performance in Display Advertising.

Kan Ren, Weinan Zhang, Yifei Rong, Haifeng Zhang, Yong Yu, Jun Wang

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Multi-Keyword Multi-Click Advertisement Option Contracts for Sponsored Search.

Bowei Chen, Jun Wang, Ingemar J. Cox, Mohan S. Kankanhalli

ACM Trans. Intell. Syst. Technol., 2015

A term-based methodology for query reformulation understanding.

Marc Sloan, Hui Yang, Jun Wang

Inf. Retr. J., 2015

A lattice framework for pricing display advertisement options with the stochastic volatility underlying model.

Bowei Chen, Jun Wang

Electron. Commer. Res. Appl., 2015

An Empirical Study on Display Ad Impression Viewability Measurements.

Weinan Zhang, Ye Pan, Tianxiong Zhou, Jun Wang

CoRR, 2015

Risk-Hedged Venture Capital Investment Recommendation.

Xiaoxue Zhao, Weinan Zhang, Jun Wang

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Statistical Arbitrage Mining for Display Advertising.

Weinan Zhang, Jun Wang

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Estimating the Uncertainty of Average F1 Scores.

Dell Zhang, Jun Wang, Xiaoxue Zhao

Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 2015

Dynamic Information Retrieval: Theoretical Framework and Application.

Marc Sloan, Jun Wang

Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 2015

A Bayesian Hierarchical Model for Comparing Average F1 Scores.

Dell Zhang, Jun Wang, Xiaoxue Zhao, Xiaoling Wang

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Document Boltzmann Machines for Information Retrieval.

Qian Yu, Peng Zhang, Yuexian Hou, Dawei Song, Jun Wang

Proceedings of the Advances in Information Retrieval, 2015

2014

Introduction to the Special Issue on Diversity and Discovery in Recommender Systems.

Pablo Castells, Jun Wang, Rubén Lara, Dell Zhang

ACM Trans. Intell. Syst. Technol., 2014

Bias-variance analysis in estimating true query model for information retrieval.

Peng Zhang, Dawei Song, Jun Wang, Yuexian Hou

Inf. Process. Manag., 2014

Real-Time Bidding Benchmarking with iPinYou Dataset.

Weinan Zhang, Shuai Yuan, Jun Wang

CoRR, 2014

A Lattice Framework for Pricing Display Ad Options with the Stochastic Volatility Underlying Model.

Bowei Chen, Jun Wang

CoRR, 2014

Dynamic information retrieval modeling.

Hui Yang, Marc Sloan, Jun Wang

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Optimal real-time bidding for display advertising.

Weinan Zhang, Shuai Yuan, Jun Wang

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

An empirical study of reserve price optimisation in real-time bidding.

Shuai Yuan, Jun Wang, Bowei Chen, Peter Mason, Sam Seljan

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

A Dynamic Pricing Model for Unifying Programmatic Guarantee and Real-Time Bidding in Display Advertising.

Bowei Chen, Shuai Yuan, Jun Wang

Proceedings of the Eighth International Workshop on Data Mining for Online Advertising, 2014

Generalized Bias-Variance Evaluation of TREC Participated Systems.

Peng Zhang, Linxue Hao, Dawei Song, Jun Wang, Yuexian Hou, Bin Hu

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Bridging memory-based collaborative filtering and text retrieval.

Alejandro Bellogín, Jun Wang, Pablo Castells

Inf. Retr., 2013

Iterative Expectation for Multi Period Information Retrieval

Marc Sloan, Jun Wang

CoRR, 2013

Multi-Keyword Multi-Click Option Contracts for Sponsored Search Advertising.

Bowei Chen, Jun Wang, Ingemar J. Cox, Mohan S. Kankanhalli

CoRR, 2013

Interactive exploratory search for multi page search results.

Xiaoran Jin, Marc Sloan, Jun Wang

Proceedings of the 22nd International World Wide Web Conference, 2013

Probabilistic group recommendation via information matching.

Jagadeesh Gorla, Neal Lathia, Stephen Robertson, Jun Wang

Proceedings of the 22nd International World Wide Web Conference, 2013

Bias-variance decomposition of ir evaluation.

Peng Zhang, Dawei Song, Jun Wang, Yuexian Hou

Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Optimizing top-n collaborative filtering via dynamic negative item sampling.

Weinan Zhang, Tianqi Chen, Jun Wang, Yong Yu

Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

To personalize or not: a risk management perspective.

Weinan Zhang, Jun Wang, Bowei Chen, Xiaoxue Zhao

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Interactive collaborative filtering.

Xiaoxue Zhao, Weinan Zhang, Jun Wang

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Internet Advertising: An Interplay among Advertisers, Online Publishers, Ad Exchanges and Web Users

Shuai Yuan, Ahmad Zainal Abidin, Marc Sloan, Jun Wang

CoRR, 2012

A Theory of Information Matching

Jagadeesh Gorla, Stephen Robertson, Jun Wang, Tamas Jambor

CoRR, 2012

Selling futures online advertising slots via option contracts.

Jun Wang, Bowei Chen

Proceedings of the 21st World Wide Web Conference, 2012

Dynamical information retrieval modelling: a portfolio-armed bandit machine approach.

Marc Sloan, Jun Wang

Proceedings of the 21st World Wide Web Conference, 2012

Using control theory for stable and efficient recommender systems.

Tamas Jambor, Jun Wang, Neal Lathia

Proceedings of the 21st World Wide Web Conference 2012, 2012

2nd international workshop on diversity in document retrieval (DDR 2012).

Craig Macdonald, Jun Wang, Charles L. A. Clarke

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Adaptive diversification of recommendation results via latent factor portfolio.

Yue Shi, Xiaoxue Zhao, Jun Wang, Martha A. Larson, Alan Hanjalic

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Top-k Retrieval Using Facility Location Analysis.

Guido Zuccon, Leif Azzopardi, Dell Zhang, Jun Wang

Proceedings of the Advances in Information Retrieval, 2012

2011

The 1st international workshop on diversity in document retrieval.

Craig Macdonald, Charles L. A. Clarke, Jun Wang

SIGIR Forum, 2011

A Unified Relevance Retrieval Model by Eliteness Hypothesis

Jagadeesh Gorla, Stephen Robertson, Jun Wang

CoRR, 2011

Workshop on novelty and diversity in recommender systems - DiveRS 2011.

Pablo Castells, Jun Wang, Rubén Lara, Dell Zhang

Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Contextual Image Annotation via Projection and Quantum Theory Inspired Measurement for Integration of Text and Visual Features.

Leszek Kaliciak, Jun Wang, Dawei Song, Peng Zhang, Yuexian Hou

Proceedings of the Quantum Interaction - 5th International Symposium, 2011

Text Retrieval Methods for Item Ranking in Collaborative Filtering.

Alejandro Bellogín, Jun Wang, Pablo Castells

Proceedings of the Advances in Information Retrieval, 2011

Statistical information retrieval modelling: from the probability ranking principle to recent advances in diversity, portfolio theory, and beyond.

Jun Wang, Kevyn Collins-Thompson

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Structured collaborative filtering.

Alejandro Bellogín, Jun Wang, Pablo Castells

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

On Modeling Rank-Independent Risk in Estimating Probability of Relevance.

Peng Zhang, Dawei Song, Jun Wang, Xiaozhao Zhao, Yuexian Hou

Proceedings of the Information Retrieval Technology, 2011

2010

Personalization of tagging systems.

Jun Wang, Maarten Clements, Jie Yang, Arjen P. de Vries, Marcel J. T. Reinders

Inf. Process. Manag., 2010

Self-taught hashing for fast similarity search.

Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

On statistical analysis and optimization of information retrieval effectiveness metrics.

Jun Wang, Jianhan Zhu

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Optimizing multiple objectives in collaborative filtering.

Tamas Jambor, Jun Wang

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Laplacian Co-hashing of Terms and Documents.

Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu

Proceedings of the Advances in Information Retrieval, 2010

Goal-Driven Collaborative Filtering - A Directional Error Based Approach.

Tamas Jambor, Jun Wang

Proceedings of the Advances in Information Retrieval, 2010

RGU at ImageCLEF2010 Wikipedia Retrieval Task.

Jun Wang, Dawei Song, Leszek Kaliciak

Proceedings of the CLEF 2010 LABs and Workshops, 2010

Automata Modeling for Cognitive Interference in Users' Relevance Judgment.

Peng Zhang, Dawei Song, Yuexian Hou, Jun Wang, Peter Bruza

Proceedings of the Quantum Informatics for Cognitive, 2010

Explanation of Relevance Judgement Discrepancy with Quantum Interference.

Jun Wang, Dawei Song, Peng Zhang, Yuexian Hou, Peter Bruza

Proceedings of the Quantum Informatics for Cognitive, 2010

Tensor Product of Correlated Textual and Visual Features: A Quantum Theory Inspired Image Retrieval Framework.

Jun Wang, Dawei Song, Leszek Kaliciak

Proceedings of the Quantum Informatics for Cognitive, 2010

How Quantum Theory Is Developing the Field of Information Retrieval.

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

Proceedings of the Quantum Informatics for Cognitive, 2010

2009

Topic (query) selection for IR evaluation.

Jianhan Zhu, Jun Wang, Vishwa Vinay, Ingemar J. Cox

Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Risky business: modeling and exploiting uncertainty in information retrieval.

Jianhan Zhu, Jun Wang, Ingemar J. Cox, Michael J. Taylor

Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Portfolio theory of information retrieval.

Jun Wang, Jianhan Zhu

Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Risk-Aware Information Retrieval.

Jianhan Zhu, Jun Wang, Michael J. Taylor, Ingemar J. Cox

Proceedings of the Advances in Information Retrieval, 2009

Mean-Variance Analysis: A New Document Ranking Theory in Information Retrieval.

Jun Wang

Proceedings of the Advances in Information Retrieval, 2009

Bridging the gap: complex networks meet information and knowledge management.

Jun Wang, Shi Zhou, Dell Zhang

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Language Models of Collaborative Filtering.

Jun Wang

Proceedings of the Information Retrieval Technology, 2009

Personalization on a Peer-to-Peer Television System.

Jun Wang, Johan Pouwelse, Jenneke Fokker, Arjen P. de Vries, Marcel J. T. Reinders

Proceedings of the Handbook of Multimedia for Digital Entertainment and Arts, 2009

2008

Wi-Fi Walkman.

Arjen P. de Vries, Marcel J. T. Reinders, Jun Wang

Encyclopedia of Wireless and Mobile Communications, 2008

Unified relevance models for rating prediction in collaborative filtering.

Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders

ACM Trans. Inf. Syst., 2008

Personalization on a peer-to-peer television system.

Jun Wang, Johan A. Pouwelse, Jenneke Fokker, Arjen P. de Vries, Marcel J. T. Reinders

Multim. Tools Appl., 2008

Probabilistic relevance ranking for collaborative filtering.

Jun Wang, Stephen Robertson, Arjen P. de Vries, Marcel J. T. Reinders

Inf. Retr., 2008

TRIBLER: a social-based peer-to-peer system.

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

Concurr. Comput. Pract. Exp., 2008

Generation of Query-Biased Concepts Using Content and Structure for Query Reformulation.

Youjin Chang, Jun Wang, Mounia Lalmas

Proceedings of the Natural Language and Information Systems, 2008

2006

Experiential Sampling on Multiple Data Streams.

Mohan S. Kankanhalli, Jun Wang, Ramesh C. Jain

IEEE Trans. Multim., 2006

Experiential Sampling in Multimedia Systems.

Mohan S. Kankanhalli, Jun Wang, Ramesh C. Jain

IEEE Trans. Multim., 2006

Unifying user-based and item-based collaborative filtering approaches by similarity fusion.

Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders

Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Distributed collaborative filtering for peer-to-peer file sharing systems.

Jun Wang, Johan A. Pouwelse, Reginald L. Lagendijk, Marcel J. T. Reinders

Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

A User-Item Relevance Model for Log-Based Collaborative Filtering.

Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders

Proceedings of the Advances in Information Retrieval, 2006

2005

Automatic video logo detection and removal.

Wei-Qi Yan, Jun Wang, Mohan S. Kankanhalli

Multim. Syst., 2005

Analogies based video editing.

Wei-Qi Yan, Mohan S. Kankanhalli, Jun Wang

Multim. Syst., 2005

Self-organizing distributed collaborative filtering.

Jun Wang, Marcel J. T. Reinders, Reginald L. Lagendijk, Johan A. Pouwelse

Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

2004

Video content representation on tiny devices.

Jun Wang, Marcel J. T. Reinders, Reginald L. Lagendijk, Jasper Lindenberg, Mohan S. Kankanhalli

Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

2003

Experience based sampling technique for multimedia analysis.

Jun Wang, Mohan S. Kankanhalli

Proceedings of the Eleventh ACM International Conference on Multimedia, 2003

A hierarchical framework for face tracking using state vector fusion for compressed video.

Jun Wang, Radhakrishna S. V. Achanta, Mohan S. Kankanhalli, Philippe Mulhem

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003