Short Bio

Hi everyone. I’m currently a PhD student at Data & Knowledge Research Group, School of CSE, The University of New South Wales (UNSW) UNSW, starting at January 2024. I was awarded the highly competitive UIPA PhD scholarship (Presidential Scholarship) from UNSW. I feel very much fortunate to be advised by Prof. Wenjie Zhang and Hanchen Wang. My research interests include Spatial-Temporal Data Mining, Big Data Management, Data-Driven Autonomous Driving, Graph Neural Networks,V2X Technology, and Generative AI Models. In general, I’m always highly interested in the machine-learning foundation theory, application of heterogeneous data mining, and AI+X technologies.

Before that, I obtained my Master Degree from Zhejiang University, School of CSE in June 2023. My Master research was carried out in the State Key Lab. of Industrial Control Technology lead by Academician Youxian Sun. I was lucky to be supervised by Prof. Shibo He and co-supervised by Prof. Jiming Chen (Changjiang Scholars Chair Professor, IEEE Fellow, Vice President of Zhejiang University of Technology).

You can find my google scholar here: LincanLi

Email: lincan.li@unsw.edu.au; lilincan@zju.edu.cn
Education: University of New South Wales (PhD at CSE)|Zhejiang University (MPhil at CSE)|Northesatern University (Bachelor at Automation)

Before joining UNSW as a PhD student, I spend half-year’s time working at the frontier of autonomous driving industry in Shenzhen. During my tenure as a Senior R&D Algorithm Engineer in BYD Autonomous Driving Technology R&D Centre, Dept. of IDA, Shenzhen China, I was lucky to be lead by Jie Liao(廖杰), the former Autonomous Driving R&D Chief Director from Horizon Robotics, and worked closely with Dr. Wei Dong.

Aside from that, I’m also a blogger in Bilibili.com, where I tend to record my daily life in University as a research student, and share some experience about scientific research.

News👍

• (Jan/24/2024) Our New survey paper:Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop Technologies is available on ArXiV. It’s now a heat paper on several academic platforms😄
• (Jan/23/2024) Being invited as reviewer again for ACM Multimedia Conference 2024, and IEEE Transactions on Industrial Informatics.

Research Publications

1. Lincan Li, Jichao Bi, Kaixiang Yang, and Fengji Luo. “Di-GraphGAN: An Enhanced Adversarial Learning Framework for Accurate Spatial-Temporal Traffic Forecasting Under Data Missing Scenarios.” Information Sciences, Accepted, pp. 1-18, 2024. (Journal Article, IF: 8.1, JCR Category Quartile: Q1)
2. Lincan Li, Kaixiang Yang, Fengji Luo, and Jichao Bi. “STS-CCL: Spatial-Temporal Synchronous Contextual Contrastive Learning for Urban Traffic Forecasting.” in the 48th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024, CCF-B).
3. Lincan Li, Jichao Bi, Kaixiang Yang, Fengji Luo and Lu-Xing Yang. “MGC-GAN: Multi-Graph Convolutional Generative Adverserial Networks for Accurate Citywide Traffic Flow Prediction,” in the 52nd IEEE International Conference on Systems, Man, and Cybernetics (SMC 2022), pp. 2557-2562. [Oral]
4. Lincan Li, Jichao Bi, Kaixiang Yang, and Fengji Luo, “Spatial-Temporal Semantic Generative Adversarial Networks for Flexible Multi-step Urban Flow Prediction,” in 31st International Conference on Artificial Neural Networks (ICANN 2022). Springer-Verlag, pp.763–775.
5. Lincan Li, Tong Jia. “Optical Coherence Tomography Vulnerable Plaque Segmentation based on Deep Residual U-Net.” Reviews in Cardiovascular Medicine 20.3 (2019): 171-177. (Journal Article, IF: 4.43, JCR Quartile: Q2)

Academic Awards & Competitions

1. Master Thesis of Zhejiang University, “Research on Integrated Urban Traffic Forecasting and Spatiotemporal Data Imputation based on GANs and Graph Representation”. Excellent Master Dissertation Award (Top 1%).
2. National Scholarship for Postgraduate. Awarded by Ministry of Education in China, Awarded in December, 2022.
3. National Scholarship for Undergraduare Student. Awarded by Ministry of Education in China, Awarded in December, 2019.
4. National Scholarship for Undergraduare Student. Awarded by Ministry of Education in China, Awarded in December, 2018.
5. Meritorious Winner (First Prize) of the International Interdisciplinary Contest In Mathematical Modeling (ICM). Awarded in April, 2018.
6. Second Prize of the National College Contest in Big Data Analysis and Mining, Awarded by: Chinese Institute of Electronics, Awarded in December, 2020.
7. Outstanding Master Graduates of Zhejiang Province, Awarded in 2023.
8. Outstanding University Graduates of Liaoning Province, Awarded in 2020.
9. Northeastern University Presidential Scholarship, Awarded in 2019.

Academic Services

• I’m a long-term reviewer of AAAI/IJCAI/ACM MM/NeurlPS and other top CCF-A/CORE A* conferences in the field of artificial intelligence and deep learning. I’m a student member of ACM and IEEE Society.
• Invited reviewer for IEEE Transactions on Intelligent Vehicles.
• Invited reviewer for Information Sciences.
• Intivted reviewer for IEEE Transactions on Industrial Informatics.

Academic Internship/Working Experiences at Top Institutions

More about Me

Like other excellent peers in AI research field, I work very hard. I enjoy the feeling of simply focusing on what I’m doing in hand, and I value my time everyday. Aside from research, I enjoy various kinds of sports, including long-distance running, HITT, dancing, Yoga, and cycling. I’ve been a daily trainer since I was 18. I enjoy music (especially Hiphop,R&B) and designing arts (especially painting exhibition, fashion design, and architecture).