CHEN Jiyuan (陈纪元)

Ph.D. Student

Department of Computing,
The Hong Kong Polytechnic University,
Hung Hom, Kowloon, Hong Kong, China

Email | Google Scholar

I am a second-year Ph.D. student researching Computer Vision (CV) at The Hong Kong Polytechnic University (PolyU), advised by Prof. Lei Zhang. Before that, I received my Bachelor's degree in computer science at Southern University of Science and Technology (SUSTech), where I was honored to work with Prof. Xuan Song. I was a research assistant at SUSTech-UTokyo Joint Research Center on Super Smart Cities, where I worked with Prof. Zipei Fan and Prof. Renhe Jiang.

Research Interest

My research interest broadly lies in the Deep Learning techniques for real-world applications. In recent years, my research has specifically focused on the following directions:

Low-level vision (e.g., image super-resolution, image restoration).
Spatial-temporal data mining (e.g., traffic forecasting, travel time estimation).

Publications

Navigating Beyond Dropout: An Intriguing Solution Towards Generalizable Image Super Resolution [arXiv]
Hongjun Wang*, Jiyuan Chen*, Yingqiang Zheng, and Tieyong Zeng. (*: Equal Contribution)
CVPR 2024 (CCF-A).
Easy Begun is Half Done: Spatial-temporal Graph Modeling with ST-curriculum Dropout [arXiv]
Hongjun Wang*, Jiyuan Chen*, Tong Pan, Zipei Fan, Xuan Song, Renhe Jiang, Lingyu Zhang, Yi Xie, Zhongyi Wang, and Boyuan Zhang. (*: Equal Contribution)
AAAI 2023 (CCF-A).
Causal-based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention [arXiv]
Hongjun Wang*, Jiyuan Chen*, Lun Du, Qiang Fu, Shi Han, and Xuan Song. (*: Equal Contribution)
IJCAI 2023 (CCF-A).
How to Be a Well-Prepared Organizer: Studying the Causal Effects of City Events on Human Mobility [paper]
Jiyuan Chen, Hongjun Wang, Zipei Fan, and Xuan Song.
International Symposium on AI, Data and Digitalization 2023.
Multitask Weakly Supervised Learning for Origin Destination Travel Time Estimation [arXiv]
Hongjun Wang, Zhiwen Zhang, Zipei Fan, Jiyuan Chen, Lingyu Zhang, Ryosuke Shibasaki, and Xuan Song.
IEEE Transactions on Knowledge and Data Engineering (CCF-A).
Discovering Key Sub-Trajectories to Explain Traffic Prediction [paper]
Hongjun Wang, Zipei Fan, Jiyuan Chen, Lingyu Zhang, and Xuan Song
MDPI Sensors.
Route to time and time to route: Travel time estimation from sparse trajectories [arXiv]
Zhiwen Zhang, Hongjun Wang, Zipei Fan, Jiyuan Chen, Xuan Song, and Ryosuke Shibasaki.
IEEE Transactions on Knowledge and Data Engineering (CCF-A).
ST-Expertnet: A Deep Expert Framework for Traffic Prediction [arXiv]
Hongjun Wang*, Jiyuan Chen*, Zipei Fan, Zhiwen Zhang, Zekun Cai, and Xuan Song. (*: Equal Contribution)
IEEE Transactions on Knowledge and Data Engineering (CCF-A).
Gof-tte: Generative online federated learning framework for travel time estimation [arXiv]
Zhiwen Zhang, Hongjun Wang, Zipei Fan, Jiyuan Chen, Xuan Song, and Ryosuke Shibasaki.
IEEE Internet of Things Journal (JCR-Q1).

Professional Activities

Journal/Conference Reviewer

I served as the reviewer for IEEE TKDE, IEEE IOTJ, CIKM (2023), AAAI (2023), NeurIPS (2024) and ICLR (2025).

Teaching Assistant

I served as the teaching assistant for the course "Introduction to Computer Programming" at SUSTech.
I served as the teaching assistant for the courses "DATA STRUCTURES AND DATABASE SYSTEMS" and "INTERNETWORKING PROTOCOLS, SOFTWARE AND MANAGEMENT" at HK PolyU.

Honors

Outstanding Freshmen Scholarship, SUSTech, 2018
Mathematical Contest in Modeling, COMAP, Meritorious Winner, 2021
Outstanding Student Scholarship of SUSTech, 2021
Innovation and Research Scholarship, Shude College@SUSTech, 2021
College Serving Scholarship, Shude College@SUSTech, 2021
Outstanding Member of Class Committee, Shude College@SUSTech, 2021
Outstanding Graduate Student, Shude College@SUSTech, 2022

Languages and Skills

Languages: Chinese (Native), Cantonese (Native), English (Fluent)
Standard English Test: TOEFL 110 (R: 30; L: 29; S: 23; W: 28)
Skills: Python, C/C++, Java, PyTorch, Git, Docker, Linux