K-Memory Strategies in Repeated Games. - Lijie Chen 001; Fangzhen Lin; Pingzhong Tang; Kangning Wang 001; Ruosong Wang; Shiheng Wang (AAMAS, 2017)

k-Regret Minimizing Set: Efficient Algorithms and Hardness. - Wei Cao 007; Jian Li 015; Haitao Wang 001; Kangning Wang 001; Ruosong Wang; Raymond Chi-Wing Wong; Wei Zhan (ICDT, 2017)

Improved Metric Distortion for Deterministic Social Choice Rules. - Kamesh Munagala; Kangning Wang 001 (EC, 2019)

Approximately stable committee selection. - Zhihao Jiang; Kamesh Munagala; Kangning Wang 001 (STOC, 2020)

Predict and Match: Prophet Inequalities with Uncertain Supply. - Reza Alijani; Siddhartha Banerjee; Sreenivas Gollapudi; Kamesh Munagala; Kangning Wang 001 (Proc. ACM Meas. Anal. Comput. Syst., 2020)

Group Fairness in Committee Selection. - Yu Cheng 002; Zhihao Jiang; Kamesh Munagala; Kangning Wang 001 (ACM Trans. Economics and Comput., 2020)

Fair for All: Best-effort Fairness Guarantees for Classification. - Anilesh Kollagunta Krishnaswamy; Zhihao Jiang; Kangning Wang 001; Yu Cheng 002; Kamesh Munagala (AISTATS, 2021)

Online Stochastic Matching with Edge Arrivals. - Nick Gravin; Zhihao Gavin Tang; Kangning Wang 001 (ICALP, 2021)

Centrality with Diversity. - Liang Lyu; Brandon Fain; Kamesh Munagala; Kangning Wang 001 (WSDM, 2021)

A Simple Mechanism for a Budget-Constrained Buyer. - Yu Cheng 002; Nick Gravin; Kamesh Munagala; Kangning Wang 001 (ACM Trans. Economics and Comput., 2021)

Interactive Communication in Bilateral Trade. - Jieming Mao; Renato Paes Leme; Kangning Wang 001 (ITCS, 2022)

The Limits of an Information Intermediary in Auction Design. - Reza Alijani; Siddhartha Banerjee; Kamesh Munagala; Kangning Wang 001 (EC, 2022)

Approximate Core for Committee Selection via Multilinear Extension and Market Clearing. - Kamesh Munagala; Yiheng Shen 001; Kangning Wang 001; Zhiyi Wang (SODA, 2022)

Approximately efficient bilateral trade. - Yuan Deng; Jieming Mao; Balasubramanian Sivan; Kangning Wang 001 (STOC, 2022)

Auditing for Core Stability in Participatory Budgeting. - Kamesh Munagala; Yiheng Shen 001; Kangning Wang 001 (WINE, 2022)

Regret Minimization with Noisy Observations. - Mohammad Mahdian; Jieming Mao; Kangning Wang 001 (EC, 2023)

Optimal Pricing Schemes for an Impatient Buyer. - Yuan Deng; Jieming Mao; Balasubramanian Sivan; Kangning Wang 001 (SODA, 2023)

Fair Price Discrimination. - Siddhartha Banerjee; Kamesh Munagala; Yiheng Shen 001; Kangning Wang 001 (SODA, 2024)

Prior-Independent Auctions for Heterogeneous Bidders. - Guru Guruganesh; Aranyak Mehta; Di Wang 005; Kangning Wang 001 (SODA, 2024)

Breaking the Metric Voting Distortion Barrier. - Moses Charikar; Prasanna Ramakrishnan; Kangning Wang 001; Hongxun Wu (J. ACM, 2024)

Metric Distortion for Tournament Voting and Beyond. - Moses Charikar; Prasanna Ramakrishnan; Zihan Tan; Kangning Wang 001 (EC, 2025)

Approximately Efficient Bilateral Trade with Samples. - Yuan Deng; Jieming Mao; Balasubramanian Sivan; Kangning Wang 001; Jinzhao Wu (EC, 2025)

Majorized Bayesian Persuasion and Fair Selection. - Siddhartha Banerjee; Kamesh Munagala; Yiheng Shen 001; Kangning Wang 001 (SODA, 2025)

Six Candidates Suffice to Win a Voter Majority. - Moses Charikar; Alexandra Lassota; Prasanna Ramakrishnan; Adrian Vetta; Kangning Wang 001 (STOC, 2025)

Optimal algorithms for multiwinner elections and the Chamberlin-Courant Rule. - Kamesh Munagala; Zeyu Shen 001; Kangning Wang 001 (Soc. Choice Welf., 2025)

The Price of Competitive Information Disclosure. - Siddhartha Banerjee; Kamesh Munagala; Yiheng Shen 001; Kangning Wang 001 (CoRR, 2025)

Approximately Dominating Sets in Elections. - Moses Charikar; Prasanna Ramakrishnan; Kangning Wang 001 (CoRR, 2025)