The Exploration of Teaching about Java Programming. - Xiaohui Guan; Yaguan Qian (ICEE, 2010)

The Exploration of Course Design of Parallel Computing in Information and Computer Science Specialty. - Yaguan Qian; Xiaohui Guan; Shaolin Zhang (ICEE, 2010)

Dynamic load distribution with hop-by-hop forwarding based on max-min one-way delay. - Fei Chen 009; Chunming Wu 001; Bin Wang 062; Yaguan Qian; Xiaochun Wu (Sci. China Inf. Sci., 2014)

Spot Evasion Attacks: Adversarial Examples for License Plate Recognition Systems with Convolution Neural Networks. - Yaguan Qian; Dan-feng Ma; Bin Wang 062; Jun Pan 004; Jian-Hai Chen; Jiamin Wang 003; Jing-Sheng Lei (CoRR, 2019)

Deep blind quality evaluator for multiply distorted images based on monogenic binary coding. - Wujie Zhou; Lu Yu 003; Yaguan Qian; Weiwei Qiu; Yang Zhou 011; Ting Luo 001 (J. Vis. Commun. Image Represent., 2019)

EMSGD: An Improved Learning Algorithm of Neural Networks With Imbalanced Data. - Yaguan Qian; Jun Ma; Zhang Xi-Min; Jun Pan 004; Wujie Zhou; Wu Shu-Hui; Bensheng Yun; Jing-Sheng Lei (IEEE Access, 2020)

Spot evasion attacks: Adversarial examples for license plate recognition systems with convolutional neural networks. - Yaguan Qian; Dan-feng Ma; Bin Wang 062; Jun Pan 004; Jiamin Wang 003; Zhaoquan Gu; Jian-Hai Chen; Wujie Zhou; Jing-Sheng Lei (Comput. Secur., 2020)

Towards Robust DNNs: An Taylor Expansion-Based Method for Generating Powerful Adversarial Examples. - Yaguan Qian; Xi-Ming Zhang; Bin Wang 062; Wei Li; Jian-Hai Chen; Wujie Zhou; Jing-Sheng Lei (CoRR, 2020)

TEAM: We Need More Powerful Adversarial Examples for DNNs. - Yaguan Qian; Ximin Zhang; Bin Wang 062; Wei Li; Zhaoquan Gu; Haijiang Wang; Wassim Swaileh (CoRR, 2020)

Towards Imperceptible Adversarial Image Patches Based on Network Explanations. - Yaguan Qian; Jiamin Wang 003; Bin Wang 062; Zhaoquan Gu; Xiang Ling 001; Chunming Wu 001 (CoRR, 2020)

Versailles-FP Dataset: Wall Detection in Ancient Floor Plans. - Wassim Swaileh; Dimitrios Kotzinos; Suman Ghosh; Michel Jordan; Ngoc-Son Vu; Yaguan Qian (ICDAR (1), 2021)

Word-Level Textual Adversarial Attack in the Embedding Space. - Bin Zhu 015; Zhaoquan Gu; Yushun Xie; Danni Wu; Yaguan Qian; Le Wang 008 (IJCNN, 2021)

Towards Speeding up Adversarial Training in Latent Spaces. - Yaguan Qian; Qiqi Shao; Tengteng Yao; Bin Wang 062; Shaoning Zeng; Zhaoquan Gu; Wassim Swaileh (CoRR, 2021)

Person Re-identification based on Robust Features in Open-world. - Yaguan Qian; Anlin Sun (CoRR, 2021)

Versailles-FP dataset: Wall Detection in Ancient. - Wassim Swaileh; Dimitrios Kotzinos; Suman Ghosh; Michel Jordan; Son Vu 002; Yaguan Qian (CoRR, 2021)

Edge-Aware Guidance Fusion Network for RGB-Thermal Scene Parsing. - Wujie Zhou; Shaohua Dong; Caie Xu; Yaguan Qian (AAAI, 2022)

Filter Pruning via Feature Discrimination in Deep Neural Networks. - Zhiqiang He; Yaguan Qian; Yuqi Wang; Bin Wang 062; Xiaohui Guan; Zhaoquan Gu; Xiang Ling 001; Shaoning Zeng; Haijiang Wang 003; Wujie Zhou (ECCV (21), 2022)

Robust Network Architecture Search via Feature Distortion Restraining. - Yaguan Qian; Shenghui Huang; Bin Wang 062; Xiang Ling 001; Xiaohui Guan; Zhaoquan Gu; Shaoning Zeng; Wujie Zhou; Haijiang Wang 003 (ECCV (5), 2022)

NRI-FGSM: An Efficient Transferable Adversarial Attack for Speaker Recognition Systems. - Hao Tan; Junjian Zhang; Huan Zhang; Le Wang 008; Yaguan Qian; Zhaoquan Gu (INTERSPEECH, 2022)

Mammogram classification based on a novel convolutional neural network with efficient channel attention. - Qiong Lou; Yingying Li; Yaguan Qian; Fang Lu; Jinlian Ma (Comput. Biol. Medicine, 2022)

Visually imperceptible adversarial patch attacks. - Yaguan Qian; Jiamin Wang 003; Haijiang Wang 002; Zhaoquan Gu; Bin Wang 062; Shaoning Zeng; Wassim Swaileh (Comput. Secur., 2022)

Hessian-Free Second-Order Adversarial Examples for Adversarial Learning. - Yaguan Qian; Yuqi Wang; Bin Wang 062; Zhaoquan Gu; Yuhan Guo 001; Wassim Swaileh (CoRR, 2022)

Leveraging transferability and improved beam search in textual adversarial attacks. - Bin Zhu 015; Zhaoquan Gu; Yaguan Qian; Francis C. M. Lau 001; Zhihong Tian (Neurocomputing, 2022)

GAAT: Group Adaptive Adversarial Training to Improve the Trade-Off Between Robustness and Accuracy. - Yaguan Qian; Xiaoyu Liang; Ming Kang 006; Bin Wang 062; Zhaoquan Gu; Xing Wang; Chunming Wu 001 (Int. J. Pattern Recognit. Artif. Intell., 2022)

EI-MTD: Moving Target Defense for Edge Intelligence against Adversarial Attacks. - Yaguan Qian; Yankai Guo; Qiqi Shao; Jiamin Wang 003; Bin Wang 062; Zhaoquan Gu; Xiang Ling 001; Chunming Wu 001 (ACM Trans. Priv. Secur., 2022)

Crossmodality Person Reidentification Based on Global and Local Alignment. - Qiong Lou; Junfeng Li; Yaguan Qian; Anlin Sun; Fang Lu (Wirel. Commun. Mob. Comput., 2022)

LEA2: A Lightweight Ensemble Adversarial Attack via Non-overlapping Vulnerable Frequency Regions. - Yaguan Qian; Shuke He; Chenyu Zhao; Jiaqiang Sha; Wei Wang 012; Bin Wang 062 (ICCV, 2023)

Robust Backdoor Attacks on Object Detection in Real World. - Yaguan Qian; Boyuan Ji; Shuke He; Shenhui Huang; Xiang Ling 001; Bin Wang 062; Wei Wang 012 (CoRR, 2023)

F2AT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns. - Yaguan Qian; Chenyu Zhao; Zhaoquan Gu; Bin Wang 062; Shouling Ji; Wei Wang 012; Boyang Zhou; Pan Zhou 001 (CoRR, 2023)

Modelling and analysis of online ride-sharing platforms - A sustainability perspective. - Yuhan Guo 001; Yu Zhang 118; Youssef Boulaksil; Yaguan Qian; Hamid Allaoui (Eur. J. Oper. Res., 2023)

Adversarial attacks against Windows PE malware detection: A survey of the state-of-the-art. - Xiang Ling 001; Lingfei Wu 001; Jiangyu Zhang; Zhenqing Qu; Wei Deng; Xiang Chen 017; Yaguan Qian; Chunming Wu 001; Shouling Ji; Tianyue Luo; Jingzheng Wu; Yanjun Wu (Comput. Secur., 2023)

A projection algorithm for pseudomonotone vector fields with convex constraints on Hadamard manifolds. - Zhi Zhao; Qin Zeng; Yu-Nong Xu; Yaguan Qian; Teng-Teng Yao (Numer. Algorithms, 2023)

Improving adversarial robustness of medical imaging systems via adding global attention noise. - Yinyao Dai; Yaguan Qian; Fang Lu; Bin Wang 062; Zhaoquan Gu; Wei Wang 012; Jian Wan; Yanchun Zhang (Comput. Biol. Medicine, 2023)

Object-free backdoor attack and defense on semantic segmentation. - Jiaoze Mao; Yaguan Qian; Jianchang Huang; Zejie Lian; Renhui Tao; Bin Wang 062; Wei Wang 012; Tengteng Yao (Comput. Secur., 2023)

Towards desirable decision boundary by Moderate-Margin Adversarial Training. - Xiaoyu Liang; Yaguan Qian; Jianchang Huang; Xiang Ling 001; Bin Wang 062; Chunming Wu 001; Wassim Swaileh (Pattern Recognit. Lett., 2023)

Adversarial training in logit space against tiny perturbations. - Xiaohui Guan; Qiqi Shao; Yaguan Qian; Tengteng Yao; Bin Wang 062 (Multim. Syst., 2023)

Towards Query-Efficient Decision-Based Adversarial Attacks Through Frequency Domain. - Jianhao Fu; Xiang Ling 001; Yaguan Qian; Changjiang Li; Tianyue Luo; Jingzheng Wu (ICME, 2024)

DualPure: An Efficient Adversarial Purification Method for Speech Command Recognition. - Hao Tan; Xiaochen Liu; Huan Zhang; Junjian Zhang; Yaguan Qian; Zhaoquan Gu (INTERSPEECH, 2024)

Developing Hessian-free second-order adversarial examples for adversarial training. - Yaguan Qian; Liangjian Zhang; Yuqi Wang; Boyuan Ji; Tengteng Yao; Bin Wang 062 (Int. J. Appl. Math. Comput. Sci., 2024)

Adversarial perturbation denoising utilizing common characteristics in deep feature space. - Jianchang Huang; Yinyao Dai; Fang Lu; Bin Wang 062; Zhaoquan Gu; Boyang Zhou; Yaguan Qian (Appl. Intell., 2024)

Rethinking multi-spatial information for transferable adversarial attacks on speaker recognition systems. - Junjian Zhang; Hao Tan; Le Wang 008; Yaguan Qian; Zhaoquan Gu (CAAI Trans. Intell. Technol., 2024)

Robust filter pruning guided by deep frequency-features for edge intelligence. - Yaguan Qian; Wenzhuo Huang; Qinqin Yu; Tengteng Yao; Xiang Ling 001; Bin Wang 062; Zhaoquan Gu; Yanchun Zhang (Neurocomputing, 2024)

Enhancing Transferability of Adversarial Examples Through Mixed-Frequency Inputs. - Yaguan Qian; Kecheng Chen; Bin Wang 062; Zhaoquan Gu; Shouling Ji; Wei Wang 012; Yanchun Zhang (IEEE Trans. Inf. Forensics Secur., 2024)

Resilient Sensor Data Dissemination to Mitigate Link Faults in IoT Networks With Long-Haul Optical Wires for Power Transmission Grids. - Boyang Zhou; Chunming Wu 001; Qiang Yang 004; Yaguan Qian; Yinghui Nie (IEEE Internet Things J., 2024)

Hierarchical Threshold Pruning Based on Uniform Response Criterion. - Yaguan Qian; Zhiqiang He; Yuqi Wang; Bin Wang 062; Xiang Ling 001; Zhaoquan Gu; Haijiang Wang 003; Shaoning Zeng; Wassim Swaileh (IEEE Trans. Neural Networks Learn. Syst., 2024)

Neighbor-Enhanced Representation Learning for Link Prediction in Dynamic Heterogeneous Attributed Networks. - Xiangyu Wei; Wei Wang 012; Chongsheng Zhang; Weiping Ding 001; Bin Wang 062; Yaguan Qian; Zhen Han 001; Chunhua Su (ACM Trans. Knowl. Discov. Data, 2024)

Evading backdoor defenses: Concealing genuine backdoors through scapegoat strategy. - Yaguan Qian; Zejie Lian; Yiming Li 004; Wei Wang 012; Zhaoquan Gu; Bin Wang 062; Yanchun Zhang (Comput. Secur., 2025)

Adversarial training via multi-guidance and historical memory enhancement. - Chenyu Zhao; Yaguan Qian; Bin Wang 062; Zhaoquan Gu; Shouling Ji; Wei Wang 012; Yanchun Zhang (Neurocomputing, 2025)

Enhancing robustness of backdoor attacks on real-world object detection systems. - Yaguan Qian; Boyuan Ji; Zejie Lian; Renhui Tao; Yaxin Kong; Bin Wang 062; Wei Wang 012 (J. Comput. Secur., 2025)

Exploring Dual Coupledness for Effective Pruning in Object Detection. - Xiaohui Guan; Wenzhuo Huang; Yaguan Qian; Sun Xinxin (Neural Process. Lett., 2025)

F$^{2}$2AT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns. - Yaguan Qian; Chenyu Zhao; Zhaoquan Gu; Bin Wang 062; Shouling Ji; Wei Wang 012; Yanchun Zhang (IEEE Trans. Knowl. Data Eng., 2025)

Enhancing transferability of targeted adversarial examples through amplitude spectrum alignment. - Yaguan Qian; Jiaqiang Sha; Bin Wang 062; Zhaoquan Gu; Yanchun Zhang (Multim. Syst., 2025)

Unveiling the veil: high-frequency components as the key to understanding medical DNNs' vulnerability to adversarial examples. - Yaguan Qian; Renhui Tao; Huabin Du; Bin Wang 062 (Cybersecur., 2025)