| 2026 | KDD | PEANuT: Parameter-Efficient Adaptation with Weight-aware Neural Tweakers. | Yibo Zhong, Haoxiang Jiang, Lincan Li, Ryumei Nakada, Tianci Liu, Linjun Zhang, Huaxiu Yao, Haoyu Wang |
| 2025 | IJCNLP | LLM-Empowered Patient-Provider Communication: A Data-Centric Survey From a Clinical Perspective. | Ruosi Shao, Md Shamim Seraj, Kangyi Zhao, Yingtao Luo, Lincan Li, Bolin Shen, Averi Bates, Yue Zhao, Chongle Pan, Lisa Hightow-Weidman, Shayok Chakraborty, Yushun Dong |
| 2025 | IECON | Teaching-Learning-Based Optimization for Mobile Edge Caching Strategy. | Lincan Li, Shengming Chang |
| 2025 | KDD | A Survey on Model Extraction Attacks and Defenses for Large Language Models. | Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong |
| 2024 | ICASSP | STS-CCL: Spatial-Temporal Synchronous Contextual Contrastive Learning for Urban Traffic Forecasting. | Lincan Li, Kaixiang Yang, Jichao Bi, Fengji Luo |
| 2022 | ICANN | Spatial-Temporal Semantic Generative Adversarial Networks for Flexible Multi-step Urban Flow Prediction. | Lincan Li, Jichao Bi, Kaixiang Yang, Fengji Luo |
| 2022 | SMC | MGC-GAN: Multi-Graph Convolutional Generative Adversarial Networks for Accurate Citywide Traffic Flow Prediction. | Lincan Li, Jichao Bi, Kaixiang Yang, Fengji Luo, Luxing Yang |