Model-Agnostic Adversarial Detection by Random Perturbations. - Bo Huang 017; Yi Wang 017; Wei Wang 011 (IJCAI, 2019)

Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles. - Bo Huang 017; Zhiwei Ke; Yi Wang 017; Wei Wang 011; Linlin Shen; Feng Liu 013 (AAAI, 2021)

Shuishan Online: Constructing and Teaching with A Data-driven Learning Platform. - Wei Wang 011; Xuesong Lu; Bo Huang 017; Weining Qian; Cheqing Jin; Peng Pu; Wenxin Hu; Yao Liu 017; Aoying Zhou; Xuan Zhou 001 (TALE, 2021)

Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation. - Bo Huang 017; Mingyang Chen; Yi Wang 017; Junda Lu 001; Minhao Cheng; Wei Wang 011 (CVPR, 2023)

Deep Ensemble Robustness by Adaptive Sampling in Dropout-Based Simultaneous Training. - Quanwei Wu; Bo Huang 017; Yi Wang 017; Zhiwei Ke; Da Luo (ECAI, 2023)

Distance Maximization and Defences on Deep Hashing Based Image Retrieval. - Junda Lu 001; Yukai Miao; Mingyang Chen; Bo Huang 017; Bing Li 002; Wei Wang 011; Dinusha Vatsalan; Mohamed Ali Kâafar (ICKG, 2023)

Dataset Distillation via Adversarial Prediction Matching. - Mingyang Chen; Bo Huang 017; Junda Lu 001; Bing Li 002; Yi Wang 017; Minhao Cheng; Wei Wang 011 (CoRR, 2023)

When Evolution Strategy Meets Language Models Tuning. - Bo Huang 017; Yuxin Jiang; Mingyang Chen; Yi Wang 017; Hongyang Chen 001; Wei Wang 011 (COLING, 2025)

Influence-Guided Diffusion for Dataset Distillation. - Mingyang Chen; Jiawei Du; Bo Huang 017; Yi Wang 017; Xiaobo Zhang; Wei Wang 011 (ICLR, 2025)

Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection. - Mingyang Chen; Jiawei Du; Bo Huang 017; Yi Wang 017; Xiaobo Zhang; Wei Wang 011 (AAAI, 2026)