XGBoost-Based Android Malware Detection. - Jiong Wang; Boquan Li 002; Yuwei Zeng (CIS, 2017)

AdvRefactor: A Resampling-Based Defense Against Adversarial Attacks. - Jianguo Jiang; Boquan Li 002; Min Yu 001; Chao Liu 020; Jianguo Sun; Weiqing Huang; Zhiqiang Lv (PCM (2), 2018)

Restoration as a Defense Against Adversarial Perturbations for Spam Image Detection. - Jianguo Jiang; Boquan Li 002; Min Yu 001; Chao Liu 020; Weiqing Huang; Lejun Fan; Jianfeng Xia (ICANN (3), 2019)

A Residual Fingerprint-Based Defense Against Adversarial Deepfakes. - Jianguo Jiang; Boquan Li 002; Shuai Yu; Chao Liu 020; Shaohua An; Mingqi Liu; Min Yu 001 (HPCC/DSS/SmartCity/DependSys, 2021)

Adaptive Smooth L1 Loss: A Better Way to Regress Scene Texts with Extreme Aspect Ratios. - Chao Liu 020; Shuai Yu; Min Yu 001; Baole Wei; Boquan Li 002; Gang Li 009; Weiqing Huang (ISCC, 2021)

Finding disposable domain names: A linguistics-based stacking approach. - Yuwei Zeng; Xiaochun Yun; Xunxun Chen; Boquan Li 002; Haiwei Tsang; Yipeng Wang 001; Tianning Zang; Yongzheng Zhang 002 (Comput. Networks, 2021)

An end-to-end text spotter with text relation networks. - Jianguo Jiang; Baole Wei; Min Yu 001; Gang Li 009; Boquan Li 002; Chao Liu 020; Min Li; Weiqing Huang (Cybersecur., 2021)

FakeFilter: A cross-distribution Deepfake detection system with domain adaptation. - Jianguo Jiang; Boquan Li 002; Baole Wei; Gang Li 009; Chao Liu 020; Weiqing Huang; Meimei Li; Min Yu 001 (J. Comput. Secur., 2021)

Cloud-Based Data Offloading for Multi-focus and Multi-views Image Fusion in Mobile Applications. - Yiqi Shi; Jianguo Sun; Duo Liu; Liang Kou; Boquan Li 002; Qing Yang 003; Liguo Zhang (Mob. Networks Appl., 2021)

How Generalizable are Deepfake Detectors? An Empirical Study. - Boquan Li 002; Jun Sun 001; Christopher M. Poskitt (CoRR, 2023)

Hierarchical memory-guided long-term tracking with meta transformer inquiry network. - Xingmei Wang 002; Guohao Nie; Boquan Li 002; Yilin Zhao; Minyang Kang; Bo Liu (Knowl. Based Syst., 2023)

Assessing Backdoor Risk in Deepfake Detection. - Jiawen Wang; Boquan Li 002; Min Yu 001; Kam-Pui Chow; Jianguo Jiang; Fuqiang Du; Xiang Meng; Weiqing Huang (IFIP Int. Conf. Digital Forensics, 2024)

Two-stage Semi-supervised Speaker Recognition with Gated Label Learning. - Xingmei Wang 002; Jiaxiang Meng; Kong Aik Lee; Boquan Li 002; Jinghan Liu (IJCAI, 2024)

SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection. - Yachao Liang; Min Yu 001; Gang Li 009; Jianguo Jiang; Boquan Li 002; Feng Yu; Ning Zhang; Xiang Meng; Weiqing Huang (NeurIPS, 2024)

Resilient Watermarking for LLM-Generated Codes. - Boquan Li 002; Mengdi Zhang 003; Peixin Zhang 001; Jun Sun 001; Xingmei Wang 002 (CoRR, 2024)

TAENet: Two-branch Autoencoder Network for Interpretable Deepfake Detection. - Fuqiang Du; Min Yu 001; Boquan Li 002; Kam-Pui Chow; Jianguo Jiang; Yixin Zhang; Yachao Liang; Min Li; Weiqing Huang (Digit. Investig., 2024)

CATNet: Cross-modal fusion for audio-visual speech recognition. - Xingmei Wang 002; Jiachen Mi; Boquan Li 002; Yixu Zhao; Jiaxiang Meng (Pattern Recognit. Lett., 2024)

Int*-Match: Balancing Intra-Class Compactness and Inter-Class Discrepancy for Semi-Supervised Speaker Recognition. - Xingmei Wang 002; Jinghan Liu; Jiaxiang Meng; Boquan Li 002; Zijian Liu (AAAI, 2025)