Deqiang Li

24 papers A 1B 1Misc 2Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Personalized trajectory privacy protection charging scheduling for mobile rechargeable devices.
Comput. Commun.
Pengcheng Zhao, Jing Wang, Deqiang Li, Haipeng Dai, Linfeng Liu, Jia Xu
2026 J jnl
SMAttack: Subgraph mimicry for black-box adversarial Android malware generation.
Comput. Secur.
Yan Xu, Deqiang Li, Qianmu Li
2025 — conf
An Improved LSTM Trajectory Prediction Method Based on Attention Mechanism in Vehicular Multi-modal Environments.
VTC2025-Fall
Jiahong Zhu, Tingting Liu, Le Yu, Deqiang Li, Jun Li
2025 J jnl
Dynamic multi-scale feature augmentation for inductive network representation learning.
Pattern Recognit.
Shicheng Cui, Deqiang Li, Jing Zhang
2025 J jnl
MC-GNN: Multi-Channel Graph Neural Networks With Hilbert-Schmidt Independence Criterion.
IEEE Trans. Big Data
Shicheng Cui, Deqiang Li, Jing Zhang
2025 J jnl
Towards optimal adversarial texts: character, word, and sentence.
Cybersecur.
Pengchuan Wang, Deqiang Li, Qianmu Li
2024 J jnl
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks.
IEEE Trans. Dependable Secur. Comput.
Deqiang Li, Shicheng Cui, Yun Li, Jia Xu, Fu Xiao, Shouhuai Xu
2023 J jnl
Arms Race in Adversarial Malware Detection: A Survey.
ACM Comput. Surv.
Deqiang Li, Qianmu Li, Yanfang (Fanny) Ye, Shouhuai Xu
2023 J jnl
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks.
CoRR
Deqiang Li, Shicheng Cui, Yun Li, Jia Xu, Fu Xiao, Shouhuai Xu
2023 J jnl
Robust adaptive sliding mode control for path tracking of unmanned agricultural vehicles.
Comput. Electr. Eng.
Zhikang Ge, Zhihong Man, Zhuo Wang, Xiaoping Bai, Xiaoxiong Wang, Feng Xiong, Deqiang Li
2023 J jnl
Security in defect detection: A new one-pixel attack for fooling DNNs.
J. King Saud Univ. Comput. Inf. Sci.
Pengchuan Wang, Qianmu Li, Deqiang Li, Shunmei Meng, Muhammad Bilal, Amrit Mukherjee
2021 J jnl
A Framework for Enhancing Deep Neural Networks Against Adversarial Malware.
IEEE Trans. Netw. Sci. Eng.
Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu
2021 A conf
Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection?
ACSAC
Deqiang Li, Tian Qiu, Shuo Chen, Qianmu Li, Shouhuai Xu
2021 J jnl
Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection?
CoRR
Deqiang Li, Tian Qiu, Shuo Chen, Qianmu Li, Shouhuai Xu
2020 J jnl
Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection.
CoRR
Deqiang Li, Qianmu Li
2020 J jnl
Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection.
IEEE Trans. Inf. Forensics Secur.
Deqiang Li, Qianmu Li
2020 J jnl
Enhancing Deep Neural Networks Against Adversarial Malware Examples.
CoRR
Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu
2020 J jnl
SoK: Arms Race in Adversarial Malware Detection.
CoRR
Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu
2018 J jnl
Enhancing Robustness of Deep Neural Networks Against Adversarial Malware Samples: Principles, Framework, and AICS'2019 Challenge.
CoRR
Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu
2018 J jnl
HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples.
CoRR
Deqiang Li, Ramesh Baral, Tao Li, Han Wang, Qianmu Li, Shouhuai Xu
2018 J jnl
基于单个卷积神经网络的面部多特征点定位 (Facial Multi-landmarks Localization Based on Single Convolution Neural Network).
计算机科学
Hong Zhu, Qianmu Li, Deqiang Li
2017 Misc conf
A robust inference algorithm for crowd sourced categorization.
ISKE
Ming Wu, Qianmu Li, Jing Zhang, Shicheng Cui, Deqiang Li, Yong Qi
2017 Misc conf
SimWalk: Learning network latent representations with social relation similarity.
ISKE
Shicheng Cui, Bin Xia, Tao Li, Ming Wu, Deqiang Li, Qianmu Li, Hong Zhang
2008 B conf
Redundant DWT based translation invariant wavelet feature extraction for face recognition.
ICPR
Deqiang Li, Haibo Luo, Zelin Shi