Redundant DWT based translation invariant wavelet feature extraction for face recognition. - Deqiang Li; Haibo Luo; Zelin Shi (ICPR, 2008)

SimWalk: Learning network latent representations with social relation similarity. - Shicheng Cui; Bin Xia 003; Tao Li 001; Ming Wu 004; Deqiang Li; Qianmu Li; Hong Zhang 021 (ISKE, 2017)

A robust inference algorithm for crowd sourced categorization. - Ming Wu 004; Qianmu Li; Jing Zhang 015; Shicheng Cui; Deqiang Li; Yong Qi (ISKE, 2017)

HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples. - Deqiang Li; Ramesh Baral; Tao Li 001; Han Wang; Qianmu Li; Shouhuai Xu (CoRR, 2018)

Enhancing Robustness of Deep Neural Networks Against Adversarial Malware Samples: Principles, Framework, and AICS'2019 Challenge. - Deqiang Li; Qianmu Li; Yanfang Ye 001; Shouhuai Xu (CoRR, 2018)

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). - Hong Zhu; Qianmu Li; Deqiang Li (计算机科学, 2018)

Enhancing Deep Neural Networks Against Adversarial Malware Examples. - Deqiang Li; Qianmu Li; Yanfang Ye 001; Shouhuai Xu (CoRR, 2020)

SoK: Arms Race in Adversarial Malware Detection. - Deqiang Li; Qianmu Li; Yanfang Ye 001; Shouhuai Xu (CoRR, 2020)

Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection. - Deqiang Li; Qianmu Li (IEEE Trans. Inf. Forensics Secur., 2020)

Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection? - Deqiang Li; Tian Qiu; Shuo Chen 003; Qianmu Li; Shouhuai Xu (ACSAC, 2021)

A Framework for Enhancing Deep Neural Networks Against Adversarial Malware. - Deqiang Li; Qianmu Li; Yanfang Ye 001; Shouhuai Xu (IEEE Trans. Netw. Sci. Eng., 2021)

PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks. - Deqiang Li; Shicheng Cui; Yun Li 003; Jia Xu 003; Fu Xiao 001; Shouhuai Xu (CoRR, 2023)

Arms Race in Adversarial Malware Detection: A Survey. - Deqiang Li; Qianmu Li; Yanfang (Fanny) Ye; Shouhuai Xu (ACM Comput. Surv., 2023)

Robust adaptive sliding mode control for path tracking of unmanned agricultural vehicles. - Zhikang Ge; Zhihong Man; Zhuo Wang; Xiaoping Bai; Xiaoxiong Wang; Feng Xiong; Deqiang Li (Comput. Electr. Eng., 2023)

Security in defect detection: A new one-pixel attack for fooling DNNs. - Pengchuan Wang; Qianmu Li; Deqiang Li; Shunmei Meng; Muhammad Bilal 003; Amrit Mukherjee (J. King Saud Univ. Comput. Inf. Sci., 2023)

PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks. - Deqiang Li; Shicheng Cui; Yun Li 009; Jia Xu 003; Fu Xiao 001; Shouhuai Xu (IEEE Trans. Dependable Secur. Comput., 2024)

Dynamic multi-scale feature augmentation for inductive network representation learning. - Shicheng Cui; Deqiang Li; Jing Zhang 015 (Pattern Recognit., 2025)

MC-GNN: Multi-Channel Graph Neural Networks With Hilbert-Schmidt Independence Criterion. - Shicheng Cui; Deqiang Li; Jing Zhang 015 (IEEE Trans. Big Data, 2025)