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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.
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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.
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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.
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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).
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talks

[ICASSP 2024] Sts-ccl: Spatial-temporal synchronous contextual contrastive learning for urban traffic forecasting

Published: April 16, 2024

See the material via this link: https://drive.google.com/file/d/1BGa1oNoJ8jcwFADzZUpnxPEAevKrw4-0/view?usp=sharing

[Invited Media Online Talk] Political-LLM: Large language models in political science

Published: February 20, 2025

[SIGKDD 2025] A survey on model extraction attacks and defenses for large language models

Published: August 03, 2025

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Lincan Li