Wei Li

14 papers A* 2Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing traffic flow prediction through multi-view attention mechanism and dilated convolutional networks. Complex Intell. Syst. Wei Li, Hao Wei, Xin Liu, Jialin Liu, Dazhi Zhan, Xiao Han, Wei Tao
2025	J	`jnl`	GAME-RL: Generating Adversarial Malware Examples Against API Call Based Detection via Reinforcement Learning. IEEE Trans. Dependable Secur. Comput. Dazhi Zhan, Xin Liu, Wei Bai, Wei Li, Shize Guo, Zhisong Pan
2025	J	`jnl`	MSGFormer: Revolutionizing Traffic Flow Prediction With Multiscale and Gated Transformer Architecture. IEEE Internet Things J. Wei Li, Jun Chen, Yucheng Zhang, Ruijin Sun, Shiming Xia, Zhisong Pan, Jianxin Luo
2024	J	`jnl`	GraphMoCo: A graph momentum contrast model for large-scale binary function representation learning. Neurocomputing Runjin Sun, Shize Guo, Jinhong Guo, Wei Li, Xingyu Zhang, Xi Guo, Zhisong Pan
2024	J	`jnl`	Location and time embedded feature representation for spatiotemporal traffic prediction. Expert Syst. Appl. Wei Li, Xin Liu, Wei Tao, Lei Zhang, Junhua Zou, Yu Pan, Zhisong Pan
2024	A*	`conf`	Provable Acceleration of Nesterov's Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks. IJCAI Xin Liu, Wei Tao, Wei Li, Dazhi Zhan, Jun Wang, Zhisong Pan
2023	J	`jnl`	SASTGCN: A Self-Adaptive Spatio-Temporal Graph Convolutional Network for Traffic Prediction. ISPRS Int. J. Geo Inf. Wei Li, Xi Zhan, Xin Liu, Lei Zhang, Yu Pan, Zhisong Pan
2022	J	`jnl`	Cyberspace attack and defense game based on reward randomization reinforcement learning. Array Lei Zhang, Hongmei Li, Yu Pan, Qibin Zheng, Wei Li, Yi Liu
2021	J	`jnl`	Discover the Hidden Attack Path in Multi-domain Cyberspace Based on Reinforcement Learning. CoRR Lei Zhang, Wei Bai, Wei Li, Shiming Xia, Qibin Zheng
2021	A*	`conf`	Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization. AAAI Wei Tao, Wei Li, Zhisong Pan, Qing Tao
2021	J	`jnl`	Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting. CoRR Junhua Zou, Zhisong Pan, Junyang Qiu, Xin Liu, Ting Rui, Wei Li
2020	J	`jnl`	Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization. CoRR Wei Tao, Wei Li, Zhisong Pan, Qing Tao
2020	—	`conf`	Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting. ECCV (22) Junhua Zou, Zhisong Pan, Junyang Qiu, Xin Liu, Ting Rui, Wei Li
2019	J	`jnl`	Densely Connected Convolutional Networks With Attention LSTM for Crowd Flows Prediction. IEEE Access Wei Li, Wei Tao, Junyang Qiu, Xin Liu, Xingyu Zhou, Zhisong Pan