Name: Sun Zhuo
Title: Assistant Professor
Research Interests: Machine Learning, Computational Statistics
Courses Taught: Bayesian Networks and Machine Learning, Bayesian Statistics, Bayesian Decision Making
E - mail：sunzhuo@mail.shufe.edu.cn
Homepage：https://jz-fun.github.io
Research Project
Research Fields
The ultimate goal of the research group is to construct efficient and robust machine learning algorithms, combining theory, methods, and cutting-edge practices in artificial intelligence to empower deep learning and theoretical machine learning. Overall research direction:
1. Efficient and Robust Inference for Intractable Distributions/Models: Including but not limited to distribution learning and optimization problems without analytical solutions.
2. Efficient Transfer Learning for Monte Carlo: Including but not limited to efficient computation of statistics and efficient optimization problems in Bayesian machine learning.
3. Efficient Training and Inference for Modern Large Models: Including but not limited to the technical issues of training acceleration and inference acceleration in large language models.
In addition, I am also very interested in the application of artificial intelligence in various practical scenarios and other disciplines.
EducationBackground
October 2019 - December 2023 University College London Machine Learning and Computational Statistics PhD
Work Experience
July 2025 - Present, Shanghai University of Finance and Economics, School of Statistics and Data Science, Assistant Professor
May 2024 - June 2025, Huawei Technologies Co., Ltd., Artificial Intelligence Researcher
Research Achievements
(* 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.
Rewards, Honors
•ICLR Oral Paper，ICLR 2026
•Huawei Technologies Co., Ltd.: Technology Innovation and Breakthrough Award 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
•China National Outstanding International Student Scholarship, 2022
•Doctoral Enrichment Award, The Alan Turing Institute, 2021 - 2022
Social work
Program Committee Member/Reviewer: AISTATS, ICLR, NeurIPS, UAI; Neurocomputing, Expert Systems with Applications
