I am currently an associate professor in Software Engineering Institute at East China Normal University. I received my Ph.D. in College of Computer Science at Zhejiang University, where I was fortunate to be advised by Prof. Guochuan Zhang. Before that, I was an undergrad in Chu Kochen Honors College at Zhejiang University. During grad school, I visited Carnegie Mellon University for one and a half years, where I was working with Prof. Ben Moseley, Prof. R. Ravi and Prof. Sungjin Im.

Research Interests

My research interests are broadly in operations optimization, theoretical computer science, algorithmic game theory, and artificial intelligence. My primary work focuses on the algorithmic modeling, design, and analysis of both classical problems in computer science and game theory, as well as practical optimization tasks. The goal is to develop efficient computational solutions by integrating cutting-edge AI techniques. In addition, I also explore the domain of AI reasoning, with a particular emphasis on enhancing AI performance in complex reasoning tasks—especially those involving graph-structured and temporally structured data—toward improving the reasoning capabilities and practical utility of AI systems.

Publications

• Logarithmic Approximations for Fair k-Set Selection.
  with: Shi Li, Ruilong Zhang.
  Thirty-Forth International Joint Conference on Artificial Intelligence (IJCAI 2025).
• Fair Submodular Maximization over a Knapsack Constraint.
  with: Lijun Li, Liuyi Yang, Ruilong Zhang.
  Thirty-Forth International Joint Conference on Artificial Intelligence (IJCAI 2025).
• Mechanism Design for Exchange Markets.
  with: Yusen Zheng, Yukun Cheng, Xiaotie Deng
  Twentieth Conference On Web And Internet Economics (WINE 2024).
• Open-Book Neural Algorithmic Reasoning.
  with: Hefei Li, Chao Peng, Zhengfeng Yang.
  Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024).
• Polylogarithmic Approximations for Robust s-t Path.
  with: Shi Li, Ruilong Zhang.
  Fifty-First International Colloquium on Automata, Languages and Programming (ICALP 2024).
• Resource-limited Network Security Games with General Contagious Attacks.
  with: Rufan Bai, Chao Xu, Ruilong Zhang.
  Thirtieth International Computing and Combinatorics Conference (COCOON 2024).
• Sponsored Search Auction Design Beyond Single Utility Maximization.
  with: Changfeng Xu, Chao Peng, Zhengfeng Yang.
  Thirtieth International Computing and Combinatorics Conference (COCOON 2024).
• A Context-Enhanced Framework for Sequential Graph Reasoning.
  with: Shuo Shi, Chao Peng, Zhengfeng Yang.
  Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI 2024).
• Sampling for Beyond-Worst-Case Online Ranking.
  with: Qingyun Chen, Sungjin Im, Ben Moseley, Ruilong Zhang.
  Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024).
• Auction Design for Value Maximizers with Budget and Return-on-spend Constraints.
  with: Pinyan Lu,Ruilong Zhang
  Nineteenth Conference On Web And Internet Economics (WINE 2023).
• Scheduling with a Limited Testing Budget.
  with: Christoph Damerius, Peter Kling, Minming Li, Ruilong Zhang.
  European Symposium on Algorithms (ESA 2023).
• Online State Exploration: Competitive Worst Case and Learning-Augmented Algorithms.
  with: Sungjin Im, Ben Moseley, Ruilong Zhang.
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023).
• Online Dynamic Acknowledgement with Learned Predictions.
  with: Sungjin Im, Ben Moseley, Ruilong Zhang.
  IEEE International Conference on Computer Communications (INFOCOM 2023).
• Min-max Submodular Ranking for Multiple Agents.
  with: Qingyun Chen, Sungjin Im, Ben Moseley, Ruilong Zhang.
  Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023).
• Multiagent MST Cover: Pleasing All Optimally via A Simple Voting Rule.
  with: Bo Li, Xiaowei Wu, Ruilong Zhang.
  Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023).
• Learning-Augmented Algorithms for Online Subset Sum.
  with: Guochuan Zhang.
  Journal of Global Optimization 2022.
• Mechanism Design with Predictions.
  with: Pinyan Lu.
  Thirty-First International Joint Conference on Artificial Intelligence (IJCAI 2022).
• Learning-Augmented Algorithms for Online Steiner Tree.
  with: Ben Moseley.
  Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022).
• Learnable and Instance-Robust Predictions for Online Matching, Flows and Load Balancing.
  with: Thomas Lavastida, Ben Moseley, R. Ravi
  Twenty-Ninth Annual European Symposium on Algorithms (ESA 2021).
• Using Predicted Weights for Ad Delivery.
  with: Thomas Lavastida, Ben Moseley, R. Ravi.
  First SIAM Conference on Applied and Computational Discrete Algorithms (ACDA 2021).
• The Path Set Packing Problem.
  with: Guochuan Zhang.
  Twenty-Fourth International Computing and Combinatorics Conference (COCOON 2018).

Editorial Boards:

• Associate Editor for Theoretical Computer Science Journal

Last updated: June, 2025.