姓 名：孙卓
职 称：助理教授
研究方向：机器学习，计算统计
教授课程：贝叶斯网络和机器学习，贝叶斯统计，贝叶斯决策
E - mail：sunzhuo@mail.shufe.edu.cn
Homepage：https://jz-fun.github.io
研究项目
序号 | 项目名称 | 项目编号 | 项目来源 | 起止时间 | 项目经费 |
研究领域
课题组最终的目标是构建高效、鲁棒的机器学习算法，将理论、方法和人工智能前沿实践结合来赋能深度学习和理论机器学习。整体研究方向：
1. Efficient and Robust Inference for Intractable Distributions/Models: 包括但不限于无解析解的分布学习和优化问题
2. Efficient Transfer Learning for Monte Carlo: 包括但不限于对统计量的高效计算和贝叶斯机器学习中的高效优化问题
3. Efficient Training and Inference for Modern Large Models: 包括但不限于大语言模型中的训练加速、推理加速的技术问题
此外，我对人工智能在各类实际场景和其他学科中的应用也十分感兴趣。
教育经历
2019年10月-2023年12月 伦敦大学学院 机器学习和计算统计 博士
工作经历
2025年7月--至今，上海财经大学，统计与数据科学学院，助理教授
2024年5月—2025年6月，华为技术有限公司，人工智能研究员
研究成果
(* equal contribution; † corresponding author)
[9].Xiaoyuan Cheng, Wenxuan Yuan, Yiming Yang, Yuanzhao Zhang, Sibo Cheng, Yi He, Zhuo Sun†. Information Shapes Koopman Representation. In International Conference on Learning Representations (ICLR), 2026. [Oral, top 1.18%]
[8]. Kaiyu Li, Yingming Yang, Xiaoyuan Chen, Yi He, Zhuo Sun†. Multilevel Control Functional. In Proceedings of International Conference on Learning Representations (ICLR), 2026.
[7].Xiaoyuan Cheng, Yiming Yang, Wei Jiang, Chenyang Yuan, Zhuo Sun, Yukun Hu. From Embedding to Control: Representations for Stochastic Multi-Object Systems. In Proceedings of International Conference on Learning Representations (ICLR),2026.
[6]. Zhuo Sun, Chris J. Oates, Francois-Xavier Briol. Meta-learning Control Variates: Variance Reduction with Limited Data.In Proceedings of The 39th Conference on Uncertainty in Artificial Intelligence (UAI), 2023. [Oral, top 3%]
[5]. Zhuo Sun, Alessandro Barp, Francois-Xavier Briol. Vector-valued Control Variates. In Proceedings of The 40th International Conference on Machine Learning (ICML), 2023.[ASA SBSS Best Student Paper]
[4]. Kaiyu Li*, Zhuo Sun*† (2023). Multilevel Control Functional (Short Version). ICML 2023 Workshop on Structured Probabilistic Inference & Generative Modeling.
[3]. Zhuo Sun, Jijie Wu, Xiaoxu Li, Wenming Yang, Jinghao Xue. Amortized Bayesian Prototype Meta-learning: A new probabilistic meta-learning approach to few-shot image classification. In Proceedings of the 24th International Conference
on Artificial Intelligence and Statistics (AISTATS), 2021.
[2]. Xiaoxu Li∗, Zhuo Sun∗, Jinghao Xue, Zhanyu Ma. A Concise Review of Recent Few-shot Meta-learning Methods. Neurocomputing, 2021.
[1]. Xiaoxu Li∗, Jijie Wu∗, Zhuo Sun∗, Zhanyu Ma, Jie Cao and Jinghao Xue. Bi-Similarity Network for Fine-grained Few-shot Image Classification. IEEE Transactions on Image Processing, 2020.
奖励、荣誉
•ICLR Oral Paper，ICLR 2026
•华为技术有限公司：技术创新与突破奖 2025
•UCL MAPS Faculty ECR Forum Awards: Research Excellence Award 2023
•UAI 2023 Scholarship, UAI 2023
•Costas Goutis Prize, Dpartment of Statistical Science, UCL, 2023
•The American Statistical Association, SBSS, Best Student Paper, 2022
•Joint Statistical Meetings Travel Award, 2022
•中国国家优秀留学生奖学金,2022
•Doctoral Enrichment Award, The Alan Turing Institute, 2021 - 2022
社会工作
程序委员会委员/审稿人: AISTATS, ICLR, NeurIPS, UAI; Neurocomputing, Expert Systems with Applications
