Lincan Li

According to our database, Lincan Li authored at least 28 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LLM as Clinical Graph Structure Refiner: Enhancing Representation Learning in EEG Seizure Diagnosis.

Lincan Li, Zheng Chen, Yushun Dong

CoRR, April, 2026

Optimizing EEG Graph Structure for Seizure Detection: An Information Bottleneck and Self-Supervised Learning Approach.

Lincan Li, Rikuto Kotoge, Xihao Piao, Zheng Chen, Yushun Dong

CoRR, April, 2026

MPPL: Mean-Based Privacy-Preserving Localization With Linear Complexity for High-Precision Crowdsourcing Systems.

Shengming Chang, Lincan Li, Dongdong Lv, He Xu

IEEE Internet Things J., 2026

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

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses.

Lincan Li, Bolin Shen, Chenxi Zhao, Yuxiang Sun, Kaixiang Zhao, Shirui Pan, Yushun Dong

CoRR, August, 2025

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives.

Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong

CoRR, August, 2025

A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments.

Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong

CoRR, February, 2025

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

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

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Teaching-Learning-Based Optimization for Mobile Edge Caching Strategy.

Lincan Li, Shengming Chang

Proceedings of the 51st Annual Conference of the IEEE Industrial Electronics Society, 2025

TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting.

Lincan Li, Eren Erman Ozguven, Yue Zhao, Guang Wang, Yiqun Xie, Yushun Dong

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

2024

Di-GraphGAN: An enhanced adversarial learning framework for accurate spatial-temporal traffic forecasting under data missing scenarios.

Lincan Li, Jichao Bi, Kaixiang Yang, Fengji Luo

Inf. Sci., 2024

Political-LLM: Large Language Models in Political Science.

Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong

CoRR, 2024

NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models.

Yibo Zhong, Haoxiang Jiang, Lincan Li, Ryumei Nakada, Tianci Liu, Linjun Zhang, Huaxiu Yao, Haoyu Wang

CoRR, 2024

STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model.

Lincan Li, Hanchen Wang, Wenjie Zhang, Adelle Coster

CoRR, 2024

Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop Technologies.

Lincan Li, Wei Shao, Wei Dong, Yijun Tian, Qiming Zhang, Kaixiang Yang, Wenjie Zhang

CoRR, 2024

STS-CCL: Spatial-Temporal Synchronous Contextual Contrastive Learning for Urban Traffic Forecasting.

Lincan Li, Kaixiang Yang, Jichao Bi, Fengji Luo

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Reinforcement learning-based joint self-optimisation method for the fuzzy logic handover algorithm in 5G HetNets.

Qianyu Liu, Chiew Foong Kwong, Sun Wei, Sijia Zhou, Lincan Li, Pushpendu Kar

Neural Comput. Appl., April, 2023

2022

A fuzzy-clustering based approach for MADM handover in 5G ultra-dense networks.

Qianyu Liu, Chiew Foong Kwong, Sibo Zhang, Lincan Li, Jing Wang

Wirel. Networks, 2022

MGC-GAN: Multi-Graph Convolutional Generative Adversarial Networks for Accurate Citywide Traffic Flow Prediction.

Lincan Li, Jichao Bi, Kaixiang Yang, Fengji Luo, Luxing Yang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Spatial-Temporal Semantic Generative Adversarial Networks for Flexible Multi-step Urban Flow Prediction.

Lincan Li, Jichao Bi, Kaixiang Yang, Fengji Luo

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

A Novel Cooperative Cache Policy for Wireless Networks.

Lincan Li, Chiew Foong Kwong, Qianyu Liu, Pushpendu Kar, Saeid Pourroostaei Ardakani

Wirel. Commun. Mob. Comput., 2021

Intelligent Handover Triggering Mechanism in 5G Ultra-Dense Networks Via Clustering-Based Reinforcement Learning.

Qianyu Liu, Chiew Foong Kwong, Sun Wei, Lincan Li, Sibo Zhang

Mob. Networks Appl., 2021

Autonomous Mobility Management for 5G Ultra-Dense HetNets via Reinforcement Learning With Tile Coding Function Approximation.

Qianyu Liu, Chiew Foong Kwong, Sijia Zhou, Tianhao Ye, Lincan Li, Saeid Pourroostaei Ardakani

IEEE Access, 2021

CNN: A Cluster-Based Named Data Routing for Vehicular Networks.

Saeid Pourroostaei Ardakani, Chiew Foong Kwong, Pushpendu Kar, Qianyu Liu, Lincan Li

IEEE Access, 2021

2020

A Smart Cache Content Update Policy Based on Deep Reinforcement Learning.

Lincan Li, Chiew Foong Kwong, Qianyu Liu, Jing Wang

Wirel. Commun. Mob. Comput., 2020

Reinforcement Learning-Based Joint Self-Optimisation Method for the Fuzzy Logic Handover Algorithm in 5G HetNets.

Qianyu Liu, Chiew Foong Kwong, Sun Wei, Lincan Li, Jing Wang

CoRR, 2020

2019

Fuzzy-TOPSIS Based Optimal Handover Decision-making Algorithm for Fifth-generation of Mobile Communications System.

Qianyu Liu, Chiew Foong Kwong, Sibo Zhang, Lincan Li

J. Commun., 2019