Lincan Li

According to our database, Lincan Li authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

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

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