Battery equalization based on state of charge. - Weijia Li; Yuzhuo Fu; Ting Liu 016; Pengzhi Chu; Jiafang Wang; Hui Chen (ICSAI, 2014)

Privacy-Preserving Federated Learning on Partitioned Attributes. - Shuang Zhang 007; Liyao Xiang; Xi Yu; Pengzhi Chu; Yingqi Chen; Chen Cen; Li Wang 057 (CoRR, 2021)

Robust and Accurate Object Detection Via Self-Knowledge Distillation. - Weipeng Xu; Pengzhi Chu; Renhao Xie; Xiongziyan Xiao; Hongcheng Huang (ICIP, 2022)

Achieving adversarial robustness via sparsity. - Ningyi Liao; Shufan Wang; Liyao Xiang; Nanyang Ye 001; Shuo Shao; Pengzhi Chu (Mach. Learn., 2022)

Adaptive Semi-Supervised Mixup with Implicit Label Learning and Sample Ratio Balancing. - Yulin Su; Liangliang Shi; Ziming Feng; Pengzhi Chu; Junchi Yan (ICIP, 2023)

Shuffled Transformer for Privacy-Preserving Split Learning. - Hengyuan Xu; Liyao Xiang; Hangyu Ye; Dixi Yao; Pengzhi Chu; Baochun Li (CoRR, 2023)

A New Zero Knowledge Argument for General Circuits and Its Application. - Haohua Duan; Liyao Xiang; Xinbing Wang; Pengzhi Chu; Chenghu Zhou (IEEE Trans. Inf. Forensics Secur., 2023)

Permutation Equivariance of Transformers and its Applications. - Hengyuan Xu; Liyao Xiang; Hangyu Ye; Dixi Yao; Pengzhi Chu; Baochun Li (CVPR, 2024)

Infusion: Preventing Customized Text-to-Image Diffusion from Overfitting. - Weili Zeng; Yichao Yan; Qi Zhu; Zhuo Chen; Pengzhi Chu; Weiming Zhao; Xiaokang Yang 001 (ACM Multimedia, 2024)

Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases. - Hang Yin 009; Liyao Xiang; Dong Ding; Yuheng He; Yihan Wu; Pengzhi Chu; Xinbing Wang; Chenghu Zhou (NeurIPS, 2024)

Certified Distributional Robustness on Smoothed Classifiers. - Jungang Yang 002; Liyao Xiang; Pengzhi Chu; Xinbing Wang; Chenghu Zhou (IEEE Trans. Dependable Secur. Comput., 2024)

IPAD: Industrial Process Anomaly Detection Dataset. - Jinfan Liu; Yichao Yan; Junjie Li; Weiming Zhao; Pengzhi Chu; Xingdong Sheng; Yunhui Liu 006; Xiaokang Yang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)