Xin Liu

19 papers A* 1A 1Journal 16Unranked 1
YearRankTypeTitle / 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
2026 J jnl
MalPDT: Backdoor Attack Against Static Malware Detection With Plug-and-Play Dynamic Triggers.
IEEE Trans. Computers
Dazhi Zhan, Kun Xu, Xin Liu, Zhisong Pan, Shize Guo, Qi Cao
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
Practical clean-label backdoor attack against static malware detection.
Comput. Secur.
Dazhi Zhan, Kun Xu, Xin Liu, Tong Han, Zhisong Pan, Shize Guo
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
Distributed One-Pass Online AUC Maximization.
Discret. Appl. Math.
Xin Liu, Yu Pan, Yu Ding, Zhisong Pan
2023 A conf
PSP-Mal: Evading Malware Detection via Prioritized Experience-based Reinforcement Learning with Shapley Prior.
ACSAC
Dazhi Zhan, Wei Bai, Xin Liu, Yue Hu, Lei Zhang, Shize Guo, 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
A Convergence Analysis of Nesterov's Accelerated Gradient Method in Training Deep Linear Neural Networks.
CoRR
Xin Liu, Wei Tao, Zhisong Pan
2022 J jnl
A convergence analysis of Nesterov's accelerated gradient method in training deep linear neural networks.
Inf. Sci.
Xin Liu, Wei Tao, Zhisong Pan
2022 J jnl
A high-resolution dynamical view on momentum methods for over-parameterized neural networks.
CoRR
Xin Liu, Wei Tao, Jun Wang, Zhisong Pan
2022 J jnl
FedSSO: A Federated Server-Side Second-Order Optimization Algorithm.
CoRR
Xin Ma, Renyi Bao, Jinpeng Jiang, Yang Liu, Arthur Jiang, Jun Yan, Xin Liu, Zhisong Pan
2022 J jnl
Provable convergence of Nesterov's accelerated gradient method for over-parameterized neural networks.
Knowl. Based Syst.
Xin Liu, Zhisong Pan, Wei 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
2021 J jnl
Provable Convergence of Nesterov Accelerated Method for Over-Parameterized Neural Networks.
CoRR
Xin Liu, Zhisong Pan
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
2020 J jnl
Making Adversarial Examples More Transferable and Indistinguishable.
CoRR
Junhua Zou, Zhisong Pan, Junyang Qiu, Yexin Duan, Xin Liu, Yu Pan
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