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* denotes equal contribution, (α-β) denotes alphabetical author order
Efficient Deterministic Algorithms for Maximizing Symmetric Submodular Functions
Zongqi Wan, Jialin Zhang, Xiaoming Sun, Zhijie Zhang
Theoretical Computer Science (TCS), arXiv
Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency
Qixin Zhang, Zongqi Wan, Yu Yang, Li Shen, Dacheng Tao
The 13th International Conference on Learning Representations(ICLR 2025, Spotlight), arXiv
Boosting Gradient Ascent for Continuous DR-submodular Maximization
Qixin Zhang*, Zongqi Wan* , Zengde Deng, Zaiyi Chen, Xiaoming Sun, Jialin Zhang, Yu Yang
arXiv
Shadow Tomography of Quantum States with Prediction
Jiyu Jiang, Zongqi Wan, Tongyang Li, Meiyue Shao, Jialin Zhang
Frontiers of Computer Science 2025, PDF
Competitive Auctions with Imperfect Predictions
(α-β) Pinyan Lu, Zongqi Wan, Jialin Zhang
The 25th ACM Conference on Economics and Computation (EC 2024), PDF
Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
Zongqi Wan, Jialin Zhang, Wei Chen, Xiaoming Sun, Zhijie Zhang
The 40th International Conference on Machine Learning (ICML 2023), arXiv
Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets
Zongqi Wan, Zhijie Zhang, Tongyang Li, Jialin Zhang, Xiaoming Sun
The 37th AAAI Conference on Artificial Intelligence (AAAI 2023), arXiv, code
Bounded Memory Adversarial Bandits with Composite Anonymous Delayed Feedback
Zongqi Wan, Xiaoming Sun and Jialin Zhang
The 31st International Joint Conference on Artificial Intelligence (IJCAI 2022), arXiv
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