StatAI Lab

Publication

A complete list of peer-reviewed publications from StatAI Lab members. Our work appears in top-tier venues across machine learning, statistics, and data science.

All Publications

Discussion of "LAMBDA: Large Model Based Data Agent"
Discussion of "LAMBDA: Large Model Based Data Agent"
Bang Liu, Run Yang, Fan Zhou
Journal of the American Statistical Association (JASA)  ·  2026
PDF
Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models
Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models
Runpeng Dai, Run Yang, Fan Zhou, Hongtu Zhu
European Chapter of the Association for Computational Linguistics (EACL)  ·  2026
PDF
Spatio-Temporal Prediction of Fine-Grained Origin-Destination Matrices with Applications in Ridesharing
Spatio-Temporal Prediction of Fine-Grained Origin-Destination Matrices with Applications in Ridesharing
Run Yang, Runpeng Dai, Siran Gao, Xiaocheng Tang, Fan Zhou, Hongtu Zhu
Journal of Computational and Graphical Statistics (JCGS)  ·  2026
PDF
Enhancing Prediction Performance through Influence Measure
Enhancing Prediction Performance through Influence Measure
Shuguang Yu, Wenqian Xu, Xinyi Zhou, Xuechun Wang, Hongtu Zhu, Fan Zhou
International Conference on Learning Representations (ICLR)  ·  2025
PDF
{Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs
{Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs
Qi Kuang, Jiayi Wang, Fan Zhou, Zhengling Qi
Conference on Neural Information Processing Systems (NeurIPS)  ·  2025
PDF
Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization
Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization
Chengchun Shi, Zhengling Qi, Jianing Wang, Fan Zhou
Journal of the American Statistical Association (JASA)  ·  2024
PDF
Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning
Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning
Chenjia Bai, Ting Xiao, Zhoufan Zhu, Lingxiao Wang, Fan Zhou, Animesh Garg, Bin He, Peng Liu, Zhaoran Wang
IEEE Transactions on Neural Networks and Learning Systems  ·  2024
PDF
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning
Shuguang Yu, Shuxing Fang, Ruixin Peng, Zhengling Qi, Fan Zhou, Chengchun Shi
Conference on Neural Information Processing Systems (NeurIPS)  ·  2024
PDF
Variance Control for Distributional Reinforcement Learning
Variance Control for Distributional Reinforcement Learning
Qi Kuang, Zhoufan Zhu, Liwen Zhang, Fan Zhou
International Conference on Machine Learning (ICML)  ·  2023
PDF
Adversarial Learning of Distributional Reinforcement Learning
Adversarial Learning of Distributional Reinforcement Learning
Yang Sui, Yukun Huang, Hongtu Zhu, Fan Zhou
International Conference on Machine Learning (ICML)  ·  2023
PDF
Over-parameterized deep nonparametric regression for dependent data with its applications to reinforcement learning
Over-parameterized deep nonparametric regression for dependent data with its applications to reinforcement learning
Xingdong Feng, Yuling Jiao, Lican Kang, Baqun Zhang, Fan Zhou
Journal of Machine Learning Research (JMLR)  ·  2023
PDF
Directional diffusion models for graph representation learning
Directional diffusion models for graph representation learning
Run Yang, Yuling Yang, Fan Zhou, Qiang Sun
Conference on Neural Information Processing Systems (NeurIPS)  ·  2023
PDF
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making
Ting Li, Chengchun Shi, Jianing Wang, Fan Zhou, Hongtu Zhu
Conference on Neural Information Processing Systems (NeurIPS)  ·  2023
PDF
MDP2 Forest: A Constrained Continuous Multi-dimensional Policy Optimization Approach for Short-video Recommendation
MDP2 Forest: A Constrained Continuous Multi-dimensional Policy Optimization Approach for Short-video Recommendation
Sizhe Yu, Ziyi Liu, Shixiang Wan, Jia Zheng, Zang Li, Fan Zhou
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)  ·  2022
PDF
Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching
Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching
Fan Zhou, Chenfan Lu, Xiaocheng Tang, Fan Zhang, Zhiwei Qin, Jieping Ye, Hongtu Zhu
IEEE International Conference on Data Mining (ICDM)  ·  2021
PDF
Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning
Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning
Fan Zhou, Zhoufan Zhu, Qi Kuang, Liwen Zhang
International Joint Conference on Artificial Intelligence (IJCAI)  ·  2021
PDF
Graph-Based Equilibrium Metrics for Dynamic Supply–Demand Systems With Applications to Ride-sourcing Platforms
Graph-Based Equilibrium Metrics for Dynamic Supply–Demand Systems With Applications to Ride-sourcing Platforms
Fan Zhou, Shikai Luo, Xiaohu Qie, Jieping Ye, Hongtu Zhu
Journal of the American Statistical Association (JASA)  ·  2021
PDF
Non-crossing quantile regression for deep reinforcement learning
Non-crossing quantile regression for deep reinforcement learning
Fan Zhou, Jianing Wang, Xingdong Feng
Conference on Neural Information Processing Systems (NeurIPS)  ·  2020
PDF
Graph-based semi-supervised learning with nonignorable nonresponses
Graph-based semi-supervised learning with nonignorable nonresponses
Fan Zhou, Tengfei Li, Haibo Zhou, Jieping Ye, Hongtu Zhu
Conference on Neural Information Processing Systems (NeurIPS)  ·  2019
PDF