Adversarial Image Generation and Training for Deep Convolutional Neural Networks. - Ronghua Shi; Hai Shu; Hongtu Zhu; Ziqi Chen 002 (CoRR, 2020)

mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks. - Hai Shu; Ronghua Shi; Qiran Jia; Hongtu Zhu; Ziqi Chen 002 (IJCNN, 2022)

A Comparative Study of non-deep Learning, Deep Learning, and Ensemble Learning Methods for Sunspot Number Prediction. - Yuchen Dang; Ziqi Chen 002; Heng Li 010; Hai Shu (Appl. Artif. Intell., 2022)

Nearest-Neighbor Sampling Based Conditional Independence Testing. - Shuai Li 020; Ziqi Chen 002; Hongtu Zhu; Christina Dan Wang; Wang Wen (AAAI, 2023)

K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing. - Shuai Li 020; Yingjie Zhang 004; Hongtu Zhu; Christina Dan Wang; Hai Shu; Ziqi Chen 002; Zhuoran Sun; Yanfeng Yang (NeurIPS, 2023)

Conditional Diffusion Models Based Conditional Independence Testing. - Yanfeng Yang; Shuai Li 020; Yingjie Zhang 004; Zhuoran Sun; Hai Shu; Ziqi Chen 002; Renming Zhang (AAAI, 2025)

Enhancing missing data imputation through combined bipartite graph and complete directed graph. - Zhaoyang Zhang; Hongtu Zhu; Yingjie Zhang 004; Hai Shu; Ziqi Chen 002 (Neurocomputing, 2025)

Nonlinear Sparse Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data. - Rong Wu; Ziqi Chen 002; Gen Li; Hai Shu (CoRR, 2025)

Unleashing Diffusion and State Space Models for Medical Image Segmentation. - Rong Wu; Ziqi Chen 002; Liming Zhong; Heng Li 010; Hai Shu (CoRR, 2025)