Online Learning for Context-Aware Multi-User Package Delivery System with Unmanned Vehicles. - Pan Zhou 001; Guanghui Liu 001; Shimin Gong; Wei Wang 021; Dapeng Wu 001; Chonghao Zhang (ICC, 2019)

Predicting diabetes in imbalanced datasets using neural networks. - Hannah Guan; Chonghao Zhang (BCB, 2022)

Mitigating Membership Inference in Deep Learning Applications with High Dimensional Genomic Data. - Chonghao Zhang; Luca Bonomi (ICHI, 2022)

Age Prediction by DNA Methylation in Neural Networks. - Lechuan Li; Chonghao Zhang; Shiyu Liu; Hannah Guan; Yu Zhang 150 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Causalformer: Causal Discovery-based Transformer for Multivariate Time Series Forecasting. - Chonghao Zhang; Linlin Zhao; Zhefeng Yin; Zhenguo Zhang (CISP-BMEI, 2023)

Learning Effective Geometry Representation from Videos for Self-Supervised Monocular Depth Estimation. - Hailiang Zhao; Yongyi Kong; Chonghao Zhang; Haoji Zhang 002; Jiansen Zhao (ISPRS Int. J. Geo Inf., 2024)

Crafting Transferable Adversarial Examples Against 3D Object Detection. - Haiyan Long; Hai Chen; Mengyao Xu; Chonghao Zhang; Fulan Qian (IET Comput. Vis., 2025)

Generating Transferable Adversarial Point Clouds via Autoencoders for 3D Object Classification. - Mengyao Xu; Hai Chen; Chonghao Zhang; Yuanjun Zou; Chenchu Xu; Yanping Zhang; Fulan Qian (IET Comput. Vis., 2025)

Empowering Object Detection: Unleashing the Potential of Decoupled and Interactive Distillation. - Fulan Qian; Jiacheng Hong; Huanqian Yan; Hai Chen; Chonghao Zhang; Hang Su 006; Shu Zhao (IEEE Trans. Intell. Transp. Syst., 2025)

A Comprehensive Understanding of the Impact of Data Augmentation on the Transferability of 3D Adversarial Examples. - Fulan Qian; Yuanjun Zou; Mengyao Xu; Xuejun Zhang; Chonghao Zhang; Chenchu Xu; Hai Chen (ACM Trans. Knowl. Discov. Data, 2025)