Siqi Liang's Homepage

I am currently a second-year PhD student of Computer Science and Engineering at The Intelligent Data Analytics (ILLIDAN) Lab @Michigan State University, advised by Prof. Jiayu Zhou.

I received my Computer Science master degree from University of Southern California (USC) in 2020, and the Bachelor's Degree from School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC) in 2018.

During 2021-2022, I worked as research assistant, advised by Prof. Zenglin Xu and Prof. Irwin King.

My research interests include federated learning, open-source software development, and large language model. Our open-source tensor decomposition library TensorD has 82 stars. And our federated learning framework FedLab has 700 stars already. I am also working on benchmark for Federated Learning with Noisy Label, called FedNoisy, to help researchers to have standardized and comparable experiment settings. Please DO NOT hesitate if you want to contribute your code to our benchmark!!!

Here is my project list for USC CSCI-571, and hope you have fun. Some links may be outdate.

Skills

Programming Languages: Python, MATLAB, JavaScript, C++, Java
Frameworks: PyTorch, FedLab, TensorFlow, Apache Spark, Angular, Android, MXNet
Cloud Computing Service: Microsoft Azure, Google Cloud Platform

Publications

Siqi Liang*, Sumyeong Ahn*, Jiayu Zhou (* equal contribution in random order)
Distributed In-Context Learning under Non-IID Among Clients
arXiv preprint arXiv:2408.00144, 2024. .
Bao Hoang, Yijiang Pang, Siqi Liang, Liang Zhan, Paul M. Thompson, Jiayu Zhou
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization
KDD 2024 ADS.
Junyuan Hong, Wenqing Zheng, Han Meng, Siqi Liang, Anqing Chen, Hiroko H Dodge, Jiayu Zhou, Zhangyang Wang
A-CONECT: Designing AI-based Conversational Chatbot for Early Dementia Intervention
ICLR 2024 Workshop on Large Language Model (LLM) Agents.
Siqi Liang, Jintao Huang, Junyuan Hong, Dun Zeng, Jiayu Zhou, Zenglin Xu
FedNoisy: Federated Noisy Label Learning Benchmark
arXiv preprint arXiv:2306.11650, 2023. [Code]
Dun Zeng*, Siqi Liang*, Xiangjin Hu, Zenglin Xu (* equal contribution in random order)
FedLab: A Flexible Federated Learning Framework
The Journal of Machine Learning Research, 24(100):1−7, 2023. [Code] [Benchmark]
Andrew B Chen, Siqi Liang, Jessica H Nguyen, Yan Liu, Andrew J Hung
Machine learning analyses of automated performance metrics during granular sub-stitch phases predict surgeon experience
Surgery, 2021.
Benjamin Y Xu, Siqi Liang, Anmol A Pardeshi, Jacob Lifton, Sasan Moghimi, Juan Pablo Lewinger, Rohit Varma
Differences in Ocular Biometric Measurements among Subtypes of Primary Angle Closure Disease: The Chinese American Eye Study
Ophthalmology Glaucoma, 2021.
Liyang Hao*, Siqi Liang*, Jinmian Ye, Zenglin Xu (* equal contribution in random order)
TensorD: A tensor decomposition library in TensorFlow
Neurocomputing, 2018. [Code]

Projects

Open-source Federated Learning Framework Project [Code] [Benchmark] [Docs]
Mentor: Prof. Zenglin Xu
I lead our development team! Our FedLab has 400 stars now.
Surgery Analysis Project
Mentor: Prof. Yan Liu, Dr. Andrew J Hung
Melady Lab, Viterbi School of Engineering, USC
Keck School of Medicine of USC
Large-Scale Data Mining Algorithm Implemantation & Apache Spark [Detail]
INF 553 Course Project, USC
In most cases, my implementation achieves at least 10.0x speed up compared with TA's benchmark with same or even beter performance.
Angle Closure Glaucoma Detection
Mentor: Dr. Benjamin Y. Xu
Keck School of Medicine of USC
Large-scale Tensor Decomposition [Code] [Docs]
Mentor: Prof. Zenglin Xu
SMILE Lab, UESTC
I was responsible for developing the tensor decomposition algorithms in Python and TensorFlow, and documentation. Our open-source Python library based on TensorFlow TensorD has 82 stars now.

Working Experiences

Research Assistant in Rich Media Big Data Analytics and Application Key Laboratory
Shenzhen Research Institute (SZRI), The Chinese University of Hong Kong
Mentor: Prof. Irwin King
Dec. 2021 – Jun. 2022
Research Assistant
SMILE Lab, Shenzhen
Mentor: Prof. Zenglin Xu
Mar. 2021 – Jun. 2023
Graduate Student Researcher in Keck School of Medicine of the University of Southern California
Mentor: Dr. Benjamin Y. Xu
Aug. 2018 – Jun. 2020
The Chinese University of Hong Kong (CUHK) Summer Research Placement Programme
Mentor: Prof. Irwin King
Jul. 2017 – Aug. 2017

Services

Reviewer:

Conference: ICLR 2025, KDD 2025 Research, NeurIPS 2024 Datasets & Benchmarks Track, KDD 2023 ADS, ICML 2022
Journal: IEEE Transactions on Signal Processing, IEEE SMC
Conference Workshop: AAAI 2025 FLUID Workshop, KDD 2024 FedKDD Workshop, KDD 2023 FL4Data-Mining Workshop

Subreviewer: NeurIPS 2024, ICLR 2024, ICDM 2023, NeurIPS 2023, KDD 2022, ACL 2022, EMNLP 2021
Volunteer: DahShu Data Science Symposium 2024, KDD 2023 FL4Data-Mining Workshop

Teaching

I served as teaching assistant for the following courses at MSU.

MSU CSE 480 Database Systems (Spring 2024)

Selected Scholarships & Awards & Honors

Outstanding Graduate

2018

Honoray Junior Research Assistants, CUHK

2017

Top Prize of People’s Scholarship

2016, 2017

National Scholarship, Ministry of Education of the People's Republic of China

2015

More about Me

When will the get the next NBA Championship :)))))
YES: 🏓 🏸 🏀
Favorite Chinese film: A Brighter Summer Day by Edward Yang
Favorite Non-Chinese film: TOO difficult to answer...
Favorite romance film: Three Times by Hou Hsiao-hsien
Favorite sports film: Friday Night Lights by Peter Berg