An Effective Method for Complex Network Community Detection Based on Hierarchical Splitting. - Kunhe Yang; Yushen Xu (ICMAI, 2019)

Q-learning with Logarithmic Regret. - Kunhe Yang; Lin F. Yang; Simon S. Du (AISTATS, 2021)

Nudge: Stochastically Improving upon FCFS. - Isaac Grosof; Kunhe Yang; Ziv Scully; Mor Harchol-Balter (Proc. ACM Meas. Anal. Comput. Syst., 2021)

Oracle-Efficient Online Learning for Smoothed Adversaries. - Nika Haghtalab; Yanjun Han; Abhishek Shetty; Kunhe Yang (NeurIPS, 2022)

Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries. - Nika Haghtalab; Yanjun Han; Abhishek Shetty; Kunhe Yang (CoRR, 2022)

Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian. - Paria Rashidinejad; Hanlin Zhu; Kunhe Yang; Stuart Russell 001; Jiantao Jiao (ICLR, 2023)

Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents. - Nika Haghtalab; Chara Podimata; Kunhe Yang (NeurIPS, 2023)

Fundamental Bounds on Online Strategic Classification. - Saba Ahmadi; Avrim Blum; Kunhe Yang (EC, 2023)

Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification. - Saba Ahmadi; Kunhe Yang; Hanrui Zhang 001 (NeurIPS, 2024)

Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions. - Nivasini Ananthakrishnan; Nika Haghtalab; Chara Podimata; Kunhe Yang (NeurIPS, 2024)

Truthfulness of Calibration Measures. - Nika Haghtalab; Mingda Qiao; Kunhe Yang; Eric Zhao 003 (NeurIPS, 2024)

Computational Aspects of Bayesian Persuasion under Approximate Best Response. - Kunhe Yang; Hanrui Zhang 001 (NeurIPS, 2024)

Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interaction. - Nivasini Ananthakrishnan; Nika Haghtalab; Chara Podimata; Kunhe Yang (CoRR, 2024)

Leakage-Robust Bayesian Persuasion. - Nika Haghtalab; Mingda Qiao; Kunhe Yang (EC, 2025)

Platforms for Efficient and Incentive-Aware Collaboration. - Nika Haghtalab; Mingda Qiao; Kunhe Yang (SODA, 2025)

Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences? - Paul Gölz; Nika Haghtalab; Kunhe Yang (CoRR, 2025)

Should Decision-Makers Reveal Classifiers in Online Strategic Classification? - Han Shao; Shuo Xie; Kunhe Yang (CoRR, 2025)