I am a third-year Ph.D in Department of Information Engineering, The Chinese University of Hong Kong (CUHK) , supervised by Prof. Guoliang Xing. Before that, I worked with Prof. Ming-Syan Chen in National Taiwan University (NTU). My research interest includes AIoT, Fedearated Learning, Few-shot Learning and high-performance computing.

News
- 2024-09 Congratulations! DrHouse is accepted by ACM IMWUT / UbiComp 2024.
- 2024-05 Congratulations! ArtFL got Best Paper Award in IPSN 2024.
- 2024-03 Congratulations! One paper is accepted by IPSN 2024.
- 2023-04 Congratulations! One paper is accepted by ICLR 2023.
- 2022-11 Congratulations! One paper is accepted by AAAI 2023.
- 2022-10 Congratulations! One paper is accepted by FPT 2022.
- 2022-10 Congratulations! One paper is accepted by Neural Networks.
- 2022-08 Congratulations! One paper is accepted by JCSC. This work is the first work which I attended as a supervisor (with Prof. Hui Jiang in HZU). The first author is an undergraduate (grade three) student when we submitted this work.
- 2022-05 Congratulations! PGADA got Best Student Paper Award PAKDD 2022.
Selected Publications

ArtFL:Exploiting Data Resolution in Federated Learning for Dynamic Runtime Inference via Multi-Scale Training
Siyang Jiang*, Xian Shuai*, Guoliang Xing
ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2024), Accept rate: 21.50%, 20 out of 93.

PGADA:Perturbation-Guided Adversarial Alignment for Few-shot Learning Under the Support-Query Shift
Siyang Jiang, Wei Ding, Hsi-Wen Chen, Ming-Syan Chen
26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD, 2022). Accept rate: 19.30%, 121 out of 627.

Rethinking The Implementation Tricks And Monotonicity Constraint In Cooperative Multi-Agent Reinforcement Learning
Jian Hu, Siyin Wang, Siyang Jiang†, Weixun Wang
International Conference on Learning Representations (ICLR 2023).

DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge
Bufang Yang*, Siyang Jiang*, Lilin Xu, Kaiwei Liu, Hai Li, Guoliang Xing, HongKai Chem, Xiaofan Jiang, Zhenyu Yan
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM IMWUT/UbiComp 2024)

Patent
A Big Data-Based Learning Method For Complex Panel Data (Invention Patent) Hui Jiang, Bo Liu, Siyang Jiang. State Intellectual Property Office Of The People's Republic Of China, Patent No.: ZL 2018 1 0343772.3 Patent Application Date: April 17, 2018 Patent Grant Announcement Date: March 25, 2022
Big Data Intelligent Collection And Statistical Analysis Management System (Software Copyright) Used To Collect And Analyze Large-Capacity Data Which Is Difficult To Capture, Manage, And Analyze Computer Software Copyright Of China Certification ID: Z2018SR134747
Experience
Research Assistant Department of Information Engineering, The Chinese University of Hong Kong. Advisor: Prof. Guoliang Xing 02/2022 - 08/2022
Research Assistant Thrust of Internet of Things, The Hong Kong University of Science and Technology (Guangzhou). Advisor: Prof. Songze Li 11/2021 - 02/2022
Research Assistant Department of Electrical Engineering, National Taiwan University. Advisor: Prof. Ming-Syan Chen 10/2019 - 06/2021
Honors and Awards
- Best Paper Award, ACM/IEEE IPSN 2024
- CUHK-Zhejiang Lab Scholarship 2023
- CUHK IE Ph. D. Fellowship 2022
- Best Student Paper Award, PAKDD 2022
- Kaggle Competition: Sartorius – Cell Instance Segmentation. Top 4%, Silver Prize
- Kaggle Competition: Cassava Leaf Disease Classification. Top 7%, Bronze Prize
- National Cryptography Mathematics Challenge, Top 1% Sliver Prize
Academic Service
- Conference PC/Reviewer
- The International Conference on Learning Representations (ICLR) 2024
- ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp) 2024
- European Conference on Computer Vision (ECCV) 2024
- SIAM International Conference on Data Mining (SDM) 2024
- IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2023
- European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2021-2022
- ECML-PKDD Session Chair 2021
- Journal Reviewer
- IEEE Internet of Things Journal (IEEE IoT-J)
- IEEE Transactions on Mobile Computing. (IEEE TMC)
- IEEE Transactions on Industrial Informatics (IEEE TII)
- IEEE Transactions on Consumer Electronics. (IEEE TCS)
- IEEE Journal of Biomedical and Health Informatics (IEEE J-BHI)
- Teaching Assistant in CUHK
- IERG4230 Introduction to Internet of Things, 2024
- IERG3310-ESTR3310 Computer Networks 2024
- IERG3280-ESTR3302 Networks: Technology, Economics, and Social Interactions 2023
- IERG2080 Introduction to Systems Programming 2022