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Research experience

Intern experience

Publications

[arXiv 2026]Almost Sure Convergence Rates of Stochastic Approximation and Reinforcement Learning via a Poisson-Moreau Drift Xinyu Liu, Zixuan Xie, Shangtong Zhang

[arXiv 2026]MathlibPR: Pull Request Merge-Readiness Benchmark for Formal Mathematical Libraries Zixuan Xie*, Xinyu Liu*, Shangtong Zhang

[arXiv 2026]Beyond Linear Attention: Softmax Transformers Implement In-Context Reinforcement Learning Zixuan Xie, Xinyu Liu, Claire Chen, Shuze Daniel Liu, Rohan Chandra, Shangtong Zhang

[arXiv 2026]Convergence and Emergence of In-Context Reinforcement Learning with Chain of Thought Zixuan Xie, Xinyu Liu, Shangtong Zhang

[ICML 2026]Offline Two-Player Zero-Sum Markov Games with KL Regularization Claire Chen, Yuheng Zhang, Xinyu Liu, Zixuan Xie, Shuze Daniel Liu, Nan Jiang

[ICML 2026]MathlibLemma: Folklore Lemma Generation and Benchmark for Formal Mathematics Xinyu Liu, Zixuan Xie, Amir Moeini, Claire Chen, Shuze Daniel Liu, Yu Meng, Aidong Zhang, Shangtong Zhang

[arXiv 2025]Extensions of Robbins-Siegmund Theorem with Applications in Reinforcement Learning Xinyu Liu, Zixuan Xie, Shangtong Zhang

[NeurIPS 2025]Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features Zixuan Xie*, Xinyu Liu*, Rohan Chandra, Shangtong Zhang

[ICML 2025]Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Xinyu Liu*, Zixuan Xie*, Shangtong Zhang

[arXiv 2024]Almost Sure Convergence Rates and Concentration of Stochastic Approximation and Reinforcement Learning with Markovian Noise Xiaochi Qian*, Zixuan Xie*, Xinyu Liu*, Shangtong Zhang

Teaching Assistantships

Peer Review

Skills and Awards