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