Zheng Wen

ORCID

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 138

Top Venues

University of Hong Kong (PHD)

Education History

University of Hong Kong

PHD

Publications

Vikranth Dwaracherla, Zheng Wen, Ian Osband, Xiuyuan Lu, Seyed Mohammad Asghari, Benjamin Van Roy
Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping. Trans. Mach. Learn. Res. 2023 (2023)
Botao Hao, Rahul Jain, Tor Lattimore, Benjamin Van Roy, Zheng Wen
Leveraging Demonstrations to Improve Online Learning: Quality Matters. CoRR (2023)
Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy
Approximate Thompson Sampling via Epistemic Neural Networks. CoRR (2023)
Botao Hao, Rahul Jain, Dengwang Tang, Zheng Wen
Bridging Imitation and Online Reinforcement Learning: An Optimistic Tale. CoRR (2023)
Hong-an Li, Guanyi Wang, Qiaozhi Hua, Zheng Wen, Li Zhan-Li, Ting Lei
An image watermark removal method for secure internet of things applications based on federated learning. Expert Syst. J. Knowl. Eng. 40 (5) (2023)
Chao Qin, Zheng Wen, Xiuyuan Lu, Benjamin Van Roy
An Analysis of Ensemble Sampling. CoRR (2022)
Pan Xu, Zheng Wen, Handong Zhao, Quanquan Gu
Neural Contextual Bandits with Deep Representation and Shallow Exploration. ICLR (2022)
Xiuyuan Lu, Ian Osband, Seyed Mohammad Asghari, Sven Gowal, Vikranth Dwaracherla, Zheng Wen, Benjamin Van Roy
Robustness of Epinets against Distributional Shifts. CoRR (2022)
Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Benjamin Van Roy
Evaluating high-order predictive distributions in deep learning. UAI (2022)
Vikranth Dwaracherla, Zheng Wen, Ian Osband, Xiuyuan Lu, Seyed Mohammad Asghari, Benjamin Van Roy
Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping. CoRR (2022)
Chao Qin, Zheng Wen, Xiuyuan Lu, Benjamin Van Roy
An Analysis of Ensemble Sampling. NeurIPS (2022)
Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Benjamin Van Roy
Evaluating High-Order Predictive Distributions in Deep Learning. CoRR (2022)
Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Dieterich Lawson, Botao Hao, Brendan O'Donoghue, Benjamin Van Roy
The Neural Testbed: Evaluating Joint Predictions. NeurIPS (2022)
Lujin Hu, Zheng Wen, Jian Wang, Jing Hu
Spatial Interaction Analysis of Shared Bicycles Mobility Regularity and Determinants: A Case Study of Six Main Districts, Beijing. ISPRS Int. J. Geo Inf. 11 (9) (2022)
Jing Bai, Zheng Wen, Zhu Xiao, Fawang Ye, Yongdong Zhu, Mamoun Alazab, Licheng Jiao
Hyperspectral Image Classification Based on Multibranch Attention Transformer Networks. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Botao Hao, Morteza Ibrahimi, Dieterich Lawson, Xiuyuan Lu, Brendan O'Donoghue, Benjamin Van Roy
Evaluating Predictive Distributions: Does Bayesian Deep Learning Work? CoRR (2021)
Xin Qi, Toshio Sato, Keping Yu, San Hlaing Myint, Yutaka Katsuyama, Kazuhiko Tamesue, Kiyohito Tokuda, Zheng Wen, Takuro Sato
Content-oriented Multicamera Trajectory Forecasting Surveillance Network System. ICUFN (2021)
Long Zuo, Shuo Xiong, Xin Qi, Zheng Wen, Yiwen Tang
Communication-Based Book Recommendation in Computational Social Systems. Complex. 2021 (2021)
Alfonso Lobos, Paul Grigas, Zheng Wen
Joint Online Learning and Decision-making via Dual Mirror Descent. ICML (2021)
Deng Li Ping, Guo Bing, Zheng Wen
Web Service Clustering Approach Based on Network and Fused Document-Based and Tag-Based Topics Similarity. Int. J. Web Serv. Res. 18 (3) (2021)
Anup Kumar Paul, Xin Qu, Zheng Wen
Blockchain-a promising solution to internet of things: A comprehensive analysis, opportunities, challenges and future research issues. Peer-to-Peer Netw. Appl. 14 (5) (2021)
Hong-an Li, Qiaoxue Zheng, Xin Qi, Wenjing Yan, Zheng Wen, Na Li, Chu Tang
Neural Network-Based Mapping Mining of Image Style Transfer in Big Data Systems. Comput. Intell. Neurosci. 2021 (2021)
Xiuyuan Lu, Ian Osband, Benjamin Van Roy, Zheng Wen
Evaluating Probabilistic Inference in Deep Learning: Beyond Marginal Predictions. CoRR (2021)
Cong Feng, Liang Tan, Huan Xiao, Xin Qi, Zheng Wen, Yang Liu
EDKSAP : Efficient Double-Key Stealth Address Protocol in Blockchain. TrustCom (2021)
Xin Qi, Keping Yu, Toshio Sato, Kouichi Shibata, Eric Brigham, Takanori Tokutake, Rikiya Eguchi, Yusuke Maruyama, Zheng Wen, Kazuhiko Tamesue, Yutaka Katsuyama, Kazue Sako, Takuro Sato
Ledger-based Points Transfer System in LPWAN: From Disaster Management Aspect. ICT-DM (2021)
Xin Qi, Toshio Sato, Keping Yu, Zheng Wen, San Hlaing Myint, Yutaka Katsuyama, Kiyohito Tokuda, Takuro Sato
Congestion-Aware Suspicious Object Detection System Using Information-Centric Networking. CCNC (2021)
Pierre Perrault, Jennifer Healey, Zheng Wen, Michal Valko
On the Approximation Relationship between Optimizing Ratio of Submodular (RS) and Difference of Submodular (DS) Functions. CoRR (2021)
Ahmed Salih Al-Khaleefa, Rosilah Hassan, Mohd Riduan Ahmad, Faizan Qamar, Zheng Wen, Azana Hafizah Mohd Aman, Keping Yu
Performance Evaluation of Online Machine Learning Models Based on Cyclic Dynamic and Feature-Adaptive Time Series. IEICE Trans. Inf. Syst. (8) (2021)
Alfonso Lobos, Paul Grigas, Zheng Wen
Joint Online Learning and Decision-making via Dual Mirror Descent. CoRR (2021)
Xiuyuan Lu, Benjamin Van Roy, Vikranth Dwaracherla, Morteza Ibrahimi, Ian Osband, Zheng Wen
Reinforcement Learning, Bit by Bit. CoRR (2021)
Toshio Sato, Xin Qi, Keping Yu, Zheng Wen, Yutaka Katsuyama, Takuro Sato
Position Estimation of Pedestrians in Surveillance Video Using Face Detection and Simple Camera Calibration. MVA (2021)
Jing Zhang, Dan Li, Qiaozhi Hua, Xin Qi, Zheng Wen, San Hlaing Myint
3D Remote Healthcare for Noisy CT Images in the Internet of Things Using Edge Computing. IEEE Access 9 (2021)
Ian Osband, Zheng Wen, Mohammad Asghari, Morteza Ibrahimi, Xiyuan Lu, Benjamin Van Roy
Epistemic Neural Networks. CoRR (2021)
Shengbo Chen, Lanxue Zhang, Cong Shen, Keping Yu, San Hlaing Myint, Zheng Wen
On Scheduling Policies With Heavy-Tailed Dynamics in Wireless Queueing Systems. IEEE Access 8 (2020)
Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao
Structured Policy Iteration for Linear Quadratic Regulator. ICML (2020)
Pan Xu, Zheng Wen, Handong Zhao, Quanquan Gu
Neural Contextual Bandits with Deep Representation and Shallow Exploration. CoRR (2020)
Toshio Sato, Xin Qi, Keping Yu, Zheng Wen, San Hlaing Myint, Yutaka Katsuyama, Kiyohito Tokuda, Takuro Sato
Pedestrian Positioning in Surveillance Video using Anthropometric Properties for Effective Communication. WPMC (2020)
Hong-An Li, Jiangwen Fan, Keping Yu, Xin Qi, Zheng Wen, Qiaozhi Hua, Min Zhang, Qiaoxue Zheng
Medical Image Coloring Based on Gabor Filtering for Internet of Medical Things. IEEE Access 8 (2020)
Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin
Nested-Wasserstein Self-Imitation Learning for Sequence Generation. AISTATS (2020)
Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems. CoRR (2020)
Pierre Perrault, Jennifer Healey, Zheng Wen, Michal Valko
Budgeted Online Influence Maximization. ICML (2020)
Xin Qi, Keping Yu, Zheng Wen, San Hlaing Myint, Yutaka Katsuyama, Toshio Sato, Kiyohito Tokuda, Takuro Sato
Blockchain-based Content-oriented Surveillance Network. VTC Spring (2020)
Jing Shi, Ning Xu, Trung Bui, Franck Dernoncourt, Zheng Wen, Chenliang Xu
A Benchmark and Baseline for Language-Driven Image Editing. ACCV (6) (2020)
Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel
Graphical Models Meet Bandits: A Variational Thompson Sampling Approach. ICML (2020)
Zheng Wen, Keping Yu, Xin Qi, Toshio Sato, Yutaka Katsuyama, Takuro Sato, Wataru Kameyama, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa, Min Luo, Jun Hashimoto
Blockchain-Empowered Contact Tracing for COVID-19 Using Crypto-Spatiotemporal Information. HealthCom (2020)
Jing Shi, Ning Xu, Trung Bui, Franck Dernoncourt, Zheng Wen, Chenliang Xu
A Benchmark and Baseline for Language-Driven Image Editing. CoRR (2020)
Jianhui Wang, Keyi Wan, Xu Gao, Xuhong Cheng, Yu Shen, Zheng Wen, Usman Tariq, Md. Jalil Piran
Energy and Materials-Saving Management via Deep Learning for Wastewater Treatment Plants. IEEE Access 8 (2020)
J. Indumathi, Achyut Shankar, Muhammad Rukunuddin Ghalib, J. Gitanjali, Qiaozhi Hua, Zheng Wen, Xin Qi
HCS). IEEE Access 8 (2020)
Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin
Nested-Wasserstein Self-Imitation Learning for Sequence Generation. CoRR (2020)
Yutaka Katsuyama, Keping Yu, San Hlaing Myint, Toshio Sato, Zheng Wen, Xin Qi
AI-Based W-Band Suspicious Object Detection System for Moving Persons Using GAN: Solutions, Performance Evaluation and Standardization Activities. Kaleidoscope (2020)
Zheng Wen, Doina Precup, Morteza Ibrahimi, André Barreto, Benjamin Van Roy, Satinder Singh
On Efficiency in Hierarchical Reinforcement Learning. NeurIPS (2020)
Wenlong Mou, Zheng Wen, Xi Chen
On the Sample Complexity of Reinforcement Learning with Policy Space Generalization. CoRR (2020)
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin
Improving Adversarial Text Generation by Modeling the Distant Future. CoRR (2020)
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin
Improving Adversarial Text Generation by Modeling the Distant Future. ACL (2020)
Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Ian Osband, Zheng Wen, Benjamin Van Roy
Hypermodels for Exploration. ICLR (2020)
Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Ian Osband, Zheng Wen, Benjamin Van Roy
Hypermodels for Exploration. CoRR (2020)
Botao Hao, Jie Zhou, Zheng Wen, Will Wei Sun
Low-rank Tensor Bandits. CoRR (2020)
Jing Zhang, Ling-Rui Gong, Keping Yu, Xin Qi, Zheng Wen, Qiaozhi Hua, San Hlaing Myint
3D Reconstruction for Super-Resolution CT Images in the Internet of Health Things Using Deep Learning. IEEE Access 8 (2020)
Keping Yu, Xin Qi, Toshio Sato, San Hlaing Myint, Zheng Wen, Yutaka Katsuyama, Kiyohito Tokuda, Wataru Kameyama, Takuro Sato
Design and Performance Evaluation of an AI-Based W-Band Suspicious Object Detection System for Moving Persons in the IoT Paradigm. IEEE Access 8 (2020)
Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung
Stochastic Online Learning with Probabilistic Graph Feedback. AAAI (2020)
Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao
Structured Policy Iteration for Linear Quadratic Regulator. CoRR (2020)
Suqin Pang, Fan Bai, Di Zhang, Zheng Wen, Takuro Sato
A Geometry-based Non-stationary Wideband MIMO Channel Model and Correlation Analysis for Vehicular Communication Systems. MSN (2020)
Botao Hao, Yasin Abbasi-Yadkori, Zheng Wen, Guang Cheng
Bootstrapping Upper Confidence Bound. CoRR (2019)
Di Zhang, Teng Zhang, Yunkai Zhai, Joel J. P. C. Rodrigues, Dalong Zhang, Zheng Wen, Keping Yu, Takuro Sato
5G-Enabled Health Systems: Solutions, Challenges and Future Research Trends. ITU Kaleidoscope (2019)
Botao Hao, Yasin Abbasi-Yadkori, Zheng Wen, Guang Cheng
Bootstrapping Upper Confidence Bound. NeurIPS (2019)
Zheng Wen, Xin Qi, Keping Yu, Jairo E. Lopez, Takuro Sato
Content-Oriented Common IoT Platform for Emergency Management Scenarios. WPMC (2019)
Xin Qi, Yuwei Su, Keping Yu, Jingsong Li, Qiaozhi Hua, Zheng Wen, Jairo E. Lopez, Takuro Sato
Design and Performance Evaluation of Content-Oriented Communication System for IoT Network: A Case Study of Named Node Networking for Real-Time Video Streaming System. IEEE Access 7 (2019)
Jairo E. Lopez, Quang Ngoc Nguyen, Zheng Wen, Keping Yu, Takuro Sato
Using Linguistic Properties of Place Specification for Network Naming to Improve Mobility Performance. Sensors 19 (13) (2019)
Yang Cao, Zheng Wen, Branislav Kveton, Yao Xie
Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit. AISTATS (2019)
Ruiyi Zhang, Zheng Wen, Changyou Chen, Chen Fang, Tong Yu, Lawrence Carin
Scalable Thompson Sampling via Optimal Transport. AISTATS (2019)
Ruiyi Zhang, Zheng Wen, Changyou Chen, Lawrence Carin
Scalable Thompson Sampling via Optimal Transport. CoRR (2019)
Branislav Kveton, Csaba Szepesvári, Sharan Vaswani, Zheng Wen, Tor Lattimore, Mohammad Ghavamzadeh
Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits. ICML (2019)
Gaurush Hiranandani, Harvineet Singh, Prakhar Gupta, Iftikhar Ahamath Burhanuddin, Zheng Wen, Branislav Kveton
Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank. UAI (2019)
Sumeet Katariya, Branislav Kveton, Zheng Wen, Vamsi K. Potluru
Conservative Exploration using Interleaving. AISTATS (2019)
Xin Qi, Zheng Wen, Keping Yu, Kazunori Murata, Kouichi Shibata, Takuro Sato
Content-Oriented Disaster Network Utilizing Named Node Routing and Field Experiment Evaluation. IEICE Trans. Inf. Syst. (5) (2019)
Branislav Kveton, Saied Mahdian, S. Muthukrishnan, Zheng Wen, Yikun Xian
Waterfall Bandits: Learning to Sell Ads Online. CoRR (2019)
Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung
Stochastic Online Learning with Probabilistic Graph Feedback. CoRR (2019)
Ian Osband, Benjamin Van Roy, Daniel J. Russo, Zheng Wen
Deep Exploration via Randomized Value Functions. J. Mach. Learn. Res. 20 (2019)
Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen
Offline Evaluation of Ranking Policies with Click Models. CoRR (2018)
Sharan Vaswani, Branislav Kveton, Zheng Wen, Anup Rao, Mark Schmidt, Yasin Abbasi-Yadkori
New Insights into Bootstrapping for Bandits. CoRR (2018)
Koki Okamoto, Toru Mochida, Daichi Nozaki, Zheng Wen, Xin Qi, Takuro Sato
Content-Oriented Surveillance System Based on ICN in Disaster Scenarios. WPMC (2018)
Prakhar Gupta, Gaurush Hiranandani, Harvineet Singh, Branislav Kveton, Zheng Wen, Iftikhar Ahamath Burhanuddin
Online Diverse Learning to Rank from Partial-Click Feedback. CoRR (2018)
Daichi Nozaki, Koki Okamoto, Toru Mochida, Xin Qi, Zheng Wen, San Hlaing Myint, Kiyohito Tokuda, Takuro Sato, Kazuhiko Tamesue
AI Management System to Prevent Accidents in Construction Zones Using 4K Cameras Based on 5G Network. WPMC (2018)
Branislav Kveton, Csaba Szepesvári, Zheng Wen, Mohammad Ghavamzadeh, Tor Lattimore
Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits. CoRR (2018)
Yang Cao, Zheng Wen, Branislav Kveton, Yao Xie
Nearly Optimal Adaptive Procedure for Piecewise-Stationary Bandit: a Change-Point Detection Approach. CoRR (2018)
Tong Yu, Branislav Kveton, Zheng Wen, Hung Hai Bui, Ole J. Mengshoel
\mathttSpectralLeader : Online Spectral Learning for Single Topic Models. ECML/PKDD (2) (2018)
Xiuyuan Lu, Zheng Wen, Branislav Kveton
Efficient online recommendation via low-rank ensemble sampling. RecSys (2018)
Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen
Offline Evaluation of Ranking Policies with Click Models. KDD (2018)
Daniel Russo, Benjamin Van Roy, Abbas Kazerouni, Ian Osband, Zheng Wen
A Tutorial on Thompson Sampling. Found. Trends Mach. Learn. 11 (1) (2018)
Georgios Theocharous, Zheng Wen, Yasin Abbasi, Nikos Vlassis
Scalar Posterior Sampling with Applications. NeurIPS (2018)
Sumeet Katariya, Branislav Kveton, Zheng Wen, Vamsi K. Potluru
Conservative Exploration using Interleaving. CoRR (2018)
Zheng Wen, Takuro Sato
An artificial neural network-based distributed information-centric network service. WPMC (2017)
Branislav Kveton, Csaba Szepesvári, Anup Rao, Zheng Wen, Yasin Abbasi-Yadkori, S. Muthukrishnan
Stochastic Low-Rank Bandits. CoRR (2017)
Ian Osband, Daniel Russo, Zheng Wen, Benjamin Van Roy
Deep Exploration via Randomized Value Functions. CoRR (2017)
Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Claire Vernade, Zheng Wen
Bernoulli Rank-1 Bandits for Click Feedback. IJCAI (2017)
Paul Grigas, Alfonso Lobos, Zheng Wen, Kuang-chih Lee
Profit Maximization for Online Advertising Demand-Side Platforms. CoRR (2017)
Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Nikos Vlassis, Zheng Wen
Does Weather Matter? Causal Analysis of TV Logs. CoRR (2017)
Masrour Zoghi, Tomás Tunys, Mohammad Ghavamzadeh, Branislav Kveton, Csaba Szepesvári, Zheng Wen
Online Learning to Rank in Stochastic Click Models. ICML (2017)
Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Zheng Wen
Get to the Bottom: Causal Analysis for User Modeling. UMAP (2017)
Zheng Wen, Di Zhang, Keping Yu, Takuro Sato
Node Name Routing in Information-Centric Ad-Hoc Network. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zheng Wen