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)

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 203 (CoRR, 2020)

A Smart Cache Content Update Policy Based on Deep Reinforcement Learning. - Lincan Li; Chiew Foong Kwong; Qianyu Liu; Jing Wang 203 (Wirel. Commun. Mob. Comput., 2020)

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)

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)

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)

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)

Spatial-Temporal Semantic Generative Adversarial Networks for Flexible Multi-step Urban Flow Prediction. - Lincan Li; Jichao Bi; Kaixiang Yang; Fengji Luo (ICANN (3), 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 (SMC, 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 203 (Wirel. Networks, 2022)

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., 2023)

STS-CCL: Spatial-Temporal Synchronous Contextual Contrastive Learning for Urban Traffic Forecasting. - Lincan Li; Kaixiang Yang; Jichao Bi; Fengji Luo (ICASSP, 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 001; Qiming Zhang; Kaixiang Yang; Wenjie Zhang (CoRR, 2024)

STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model. - Lincan Li; Hanchen Wang 001; Wenjie Zhang 001; Adelle Coster (CoRR, 2024)

NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models. - Yibo Zhong; Haoxiang Jiang; Lincan Li; Ryumei Nakada; Tianci Liu 003; Linjun Zhang; Huaxiu Yao; Haoyu Wang 004 (CoRR, 2024)

Political-LLM: Large Language Models in Political Science. - Lincan Li; Jiaqi Li; Catherine Chen 003; Fred Gui; Hongjia Yang; Chenxiao Yu; Zhengguang Wang; Jianing Cai; Junlong Aaron Zhou; Bolin Shen; Alex Qian; Weixin Chen; et al. (CoRR, 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)

A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments. - Kaixiang Zhao; Lincan Li; Kaize Ding; Neil Zhenqiang Gong; Yue Zhao 016; Yushun Dong (CoRR, 2025)

TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting. - Lincan Li; Eren Erman Ozguven; Yue Zhao 016; Guang Wang; Yiqun Xie; Yushun Dong (CoRR, 2025)

A Survey on Model Extraction Attacks and Defenses for Large Language Models. - Kaixiang Zhao; Lincan Li; Kaize Ding; Neil Zhenqiang Gong; Yue Zhao 016; Yushun Dong (CoRR, 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 016; Yushun Dong (CoRR, 2025)