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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Welcome to my Personal Website
About me
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
STS-CCL: Spatial-Temporal Synchronous Contextual Contrastive Learning for Urban Traffic Forecasting
Published in (ICASSP 2024) IEEE International Conference on Acoustics, Speech and Signal Processing, 2010
Recommended citation: Lincan Li, Kaixiang Yang, Jichao Bi and Fengji Luo, "STS-CCL: Spatial-Temporal Synchronous Contextual Contrastive Learning for Urban Traffic Forecasting," ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, 2024, pp. 6705-6709.
Download Paper | Download Slides
Di-GraphGAN: An enhanced adversarial learning framework for accurate spatial-temporal traffic forecasting under data missing scenarios
Published in Information Sciences Journal, 2024
Recommended citation: Lincan Li, Jichao Bi, Kaixiang Yang, Fengji Luo, "Di-GraphGAN: An enhanced adversarial learning framework for accurate spatial-temporal traffic forecasting under data missing scenarios." Information Sciences 677 (2024): 120911.
Download Paper | Download Slides
A survey on model extraction attacks and defenses for large language models
Published in (KDD 2025) Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025
Recommended citation: Kaixiang Zhao and Lincan Li and Kaize Ding and Neil Zhenqiang Gong and Yue Zhao and Yushun Dong. "A survey on model extraction attacks and defenses for large language models." Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2. 2025.
Download Paper
TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting
Published in (SIGSPATIAL 2025) 33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2025
Recommended citation: Lincan Li, Eren Erman Ozguven, Yue Zhao, Guang Wang, Yiqun Xie, Yushun Dong. "TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting." In 33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2025).
Download Paper | Download Slides
talks
[ICASSP 2024] Sts-ccl: Spatial-temporal synchronous contextual contrastive learning for urban traffic forecasting
Published:
See the material via this link: https://drive.google.com/file/d/1BGa1oNoJ8jcwFADzZUpnxPEAevKrw4-0/view?usp=sharing
[SIGKDD 2025] A survey on model extraction attacks and defenses for large language models
Published:
teaching
Tutor at University of New South Wales
Lectures and Workshops, UNSW, School of Computer Science and Engineering, 2024
I was a tutor teaching undergraduates at UNSW Sydney for the Natural Language Processing Class during 2024 T1 and T2.
Graduate Teaching Staff @ Florida State University
Graduate Course, FSU, Department of Computer Science, 2025
(2025 Spring) I’m a teaching assistant staff for Graduate Level course CAP 5638: Pattern Recognition at CS FSU, collaborated with Dr. Yushun Dong.
Graduate Teaching Staff @ Florida State University
Undergraduate Course, FSU, Department of Computer Science, 2025
(2025 Summer) I’m a teaching assistant staff for undergraduate course CGS3465-0001.su25–Introduction to Programming Using Python, collaborated with Prof. James Lamm.