Energy Efficiency Analysis of Two-Tier Heterogeneous Networks. - Tony Q. S. Quek; Wang Chi Cheung; Marios Kountouris (EW, 2011)

Stochastic analysis of two-tier networks: Effect of spectrum allocation. - Wang Chi Cheung; Tony Q. S. Quek; Marios Kountouris (ICASSP, 2011)

Spectrum allocation and optimization in femtocell networks. - Wang Chi Cheung; Tony Q. S. Quek; Marios Kountouris (ICC, 2012)

Access control and cell association in two-tier femtocell networks. - Wang Chi Cheung; Tony Q. S. Quek; Marios Kountouris (WCNC, 2012)

Throughput Optimization, Spectrum Allocation, and Access Control in Two-Tier Femtocell Networks. - Wang Chi Cheung; Tony Q. S. Quek; Marios Kountouris (IEEE J. Sel. Areas Commun., 2012)

Improved Algorithms for Vertex Cover with Hard Capacities on Multigraphs and Hypergraphs. - Wang Chi Cheung; Michel X. Goemans; Sam Chiu-wai Wong (SODA, 2014)

Assortment Optimization under Unknown MultiNomial Logit Choice Models. - Wang Chi Cheung; David Simchi-Levi (CoRR, 2017)

Technical Note - Dynamic Pricing and Demand Learning with Limited Price Experimentation. - Wang Chi Cheung; David Simchi-Levi; He Wang 009 (Oper. Res., 2017)

Thompson Sampling for Cascading Bandits. - Wang Chi Cheung; Vincent Y. F. Tan; Zixin Zhong (CoRR, 2018)

Learning to Optimize under Non-Stationarity. - Wang Chi Cheung; David Simchi-Levi; Ruihao Zhu (AISTATS, 2019)

A Thompson Sampling Algorithm for Cascading Bandits. - Wang Chi Cheung; Vincent Y. F. Tan; Zixin Zhong (AISTATS, 2019)

Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives. - Wang Chi Cheung (NeurIPS, 2019)

Hedging the Drift: Learning to Optimize under Non-Stationarity. - Wang Chi Cheung; David Simchi-Levi; Ruihao Zhu (CoRR, 2019)

Exploration-Exploitation Trade-off in Reinforcement Learning on Online Markov Decision Processes with Global Concave Rewards. - Wang Chi Cheung (CoRR, 2019)

Reinforcement Learning under Drift. - Wang Chi Cheung; David Simchi-Levi; Ruihao Zhu (CoRR, 2019)

Capacity Allocation in Flexible Production Networks: Theory and Applications. - Guodong Lyu; Wang Chi Cheung; Mabel C. Chou; Chung-Piaw Teo; Zhichao Zheng 001; Yuanguang Zhong (Manag. Sci., 2019)

Sampling-Based Approximation Schemes for Capacitated Stochastic Inventory Control Models. - Wang Chi Cheung; David Simchi-Levi (Math. Oper. Res., 2019)

Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. - Wang Chi Cheung; David Simchi-Levi; Ruihao Zhu (ICML, 2020)

Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting. - Zixin Zhong; Wang Chi Cheung; Vincent Y. F. Tan (ICML, 2020)

Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions. - Zixin Zhong; Wang Chi Cheung; Vincent Y. F. Tan (ICML, 2021)

On the Pareto Frontier of Regret Minimization and Best Arm Identification in Stochastic Bandits. - Zixin Zhong; Wang Chi Cheung; Vincent Y. F. Tan (CoRR, 2021)

Inventory Balancing with Online Learning. - Wang Chi Cheung; Will Ma; David Simchi-Levi; Xinshang Wang (Manag. Sci., 2022)

Hedging the Drift: Learning to Optimize Under Nonstationarity. - Wang Chi Cheung; David Simchi-Levi; Ruihao Zhu (Manag. Sci., 2022)

Online Stochastic Allocation of Reusable Resources. - Xilin Zhang; Wang Chi Cheung (CDC, 2023)

Bandits with Knapsacks: Advice on Time-Varying Demands. - Lixing Lyu; Wang Chi Cheung (ICML, 2023)

Non-Stationary Bandits with Knapsack Problems with Advice. - Lixing Lyu; Wang Chi Cheung (CoRR, 2023)

Achieving the Pareto Frontier of Regret Minimization and Best Arm Identification in Multi-Armed Bandits. - Zixin Zhong; Wang Chi Cheung; Vincent Y. F. Tan (Trans. Mach. Learn. Res., 2023)

Nonstationary Reinforcement Learning: The Blessing of (More) Optimism. - Wang Chi Cheung; David Simchi-Levi; Ruihao Zhu (Manag. Sci., 2023)

Best Arm Identification with Resource Constraints. - Zitian Li; Wang Chi Cheung (AISTATS, 2024)

Leveraging (Biased) Information: Multi-armed Bandits with Offline Data. - Wang Chi Cheung; Lixing Lyu (ICML, 2024)

Piecewise-Stationary Bandits with Knapsacks. - Xilin Zhang; Wang Chi Cheung (NeurIPS, 2024)

Multiobjective Stochastic Optimization: A Case of Real-Time Matching in Ride-Sourcing Markets. - Guodong Lyu; Wang Chi Cheung; Chung-Piaw Teo; Hai Wang 011 (Manuf. Serv. Oper. Manag., 2024)

Best Arm Identification with Possibly Biased Offline Data. - Le Yang; Vincent Y. F. Tan; Wang Chi Cheung (UAI, 2025)

Efficiently Solving Discounted MDPs with Predictions on Transition Matrices. - Lixing Lyu; Jiashuo Jiang; Wang Chi Cheung (CoRR, 2025)

Near Optimal Non-asymptotic Sample Complexity of 1-Identification. - Zitian Li; Wang Chi Cheung (CoRR, 2025)

Episodic Contextual Bandits with Knapsacks under Conversion Models. - Zitian Li; Wang Chi Cheung (CoRR, 2025)