A Robust Approach to Locate HER2 and CEN17 Signals in Varied FISH Images. - Jiasheng Liu; Juan Liu 007; Yuqi Chen 007; Chunbing Hua; Zhuoyu Li; Zhiqun Zuo (BIBM, 2019)

TransMixNet: An Attention Based Double-Branch Model for White Blood Cell Classification and Its Training with the Fuzzified Training Data. - Hua Chen; Juan Liu 007; Chunbing Hua; Zhiqun Zuo; Jing Feng; Baochuan Pang; Di Xiao (BIBM, 2021)

CytoBrain: Cervical Cancer Screening System Based on Deep Learning Technology. - Hua Chen; Juan Liu 007; Qing-Man Wen; Zhiqun Zuo; Jiasheng Liu; Jing Feng; Bao-Chuan Pang; Di Xiao (J. Comput. Sci. Technol., 2021)

Classifying Pathological Images Based on Multi-Instance Learning and End-to-End Attention Pooling. - Yuqi Chen 007; Juan Liu 007; Zhiqun Zuo; Peng Jiang; Yu Jin; Guangsheng Wu (ICASSP, 2023)

Counterfactually Fair Representation. - Zhiqun Zuo; Mahdi Khalili; Xueru Zhang (NeurIPS, 2023)

Learning under Imitative Strategic Behavior with Unforeseeable Outcomes. - Tian Xie; Zhiqun Zuo; Mohammad Mahdi Khalili; Xueru Zhang (Trans. Mach. Learn. Res., 2024)

Lookahead Counterfactual Fairness. - Zhiqun Zuo; Tian Xie; Xuwei Tan; Xueru Zhang; Mohammad Mahdi Khalili (Trans. Mach. Learn. Res., 2024)

Post-processing for Fair Regression via Explainable SVD. - Zhiqun Zuo; Ding Zhu; Mohammad Mahdi Khalili (AISTATS, 2025)

An Efficient Training Algorithm for Models with Block-wise Sparsity. - Ding Zhu; Zhiqun Zuo; Mohammad Mahdi Khalili (Trans. Mach. Learn. Res., 2025)