ADID-UNET - a segmentation model for COVID-19 infection from lung CT scans. - Alex Noel Joseph Raj; Haipeng Zhu; Asiya Khan; Zhemin Zhuang; Zengbiao Yang; Vijayalakshmi G. V. Mahesh; Karthik Ganesan 004 (PeerJ Comput. Sci., 2021)

A Deformable Convolution Encoder with Multi-scale Attention Fusion Mechanism for Classification of Brain Tumor MRI Images. - Haipeng Zhu; Hong He 001; Neil Roberts; Kunhao Li (CCBR, 2022)

Latent Causal Dynamics Model for Model-Based Reinforcement Learning. - Zhifeng Hao; Haipeng Zhu; Wei Chen 103; Ruichu Cai (ICONIP (2), 2023)

A broadband high-efficiency GaN-based power amplifier using an improved continuous mode. - Haipeng Zhu; Zhiwei Zhang; Chao Gu (IEICE Electron. Express, 2023)

An artificial bee colony algorithm with a balance strategy for wireless sensor network. - Shuliang Zhu; Chi-Man Pun; Haipeng Zhu; Shujuan Li; Xiaomei Huang; Hao Gao 005 (Appl. Soft Comput., 2023)

A High-Relative-Bandwidth Doherty Power Amplifier with Modified Load Modulation Network for Wireless Communications. - Haipeng Zhu; Zhiwei Zhang; Chao Gu; Xuefei Xuan (Sensors, 2023)

A novel encoder-decoder wavelet model for multifocal region segmentation of TAO facial images. - Haipeng Zhu; Huifang Zhou; Hong He 001; Jiayu Chen; Xuefei Song; Kunhao Li; Lei Zhou (Neural Comput. Appl., 2023)

IMoVR-Net: A robust interpretable network for multi-ocular lesion recognition from TAO facial images. - Haipeng Zhu; Hong He 001; Huifang Zhou (Comput. Biol. Medicine, 2024)

A novel residual fourier convolution model for brain tumor segmentation of mr images. - Haipeng Zhu; Hong He 001 (Pattern Anal. Appl., 2024)

AITL-Net: An adaptive interpretable transfer learning network with robust generalization for liver cancer recognition. - Haipeng Zhu; Guoying Wang; Zhihong Liao; Wenliang Zhang (Knowl. Based Syst., 2025)

Design of a multi-octave high-efficiency power amplifier employing a modified continuous class-GF mode. - Haipeng Zhu; Zhiwei Zhang; Xuefei Xuan; Chenlu Wang; Luyu Zhang; Chao Gu (Int. J. Circuit Theory Appl., 2025)

A cross-scale Gaussian wavelet model with decomposition cross-consistency for TAO multifocal region semi-supervised segmentation. - Haipeng Zhu; Hong He 001; Xuefei Song (Soft Comput., 2025)

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting. - Wei Chen 103; Jiahao Zhang; Haipeng Zhu; Boyan Xu; Zhifeng Hao; Keli Zhang; Junjian Ye; Ruichu Cai (CoRR, 2025)

An Unsupervised Federated Domain Adaptation Method Based on Knowledge Distillation. - Yunpeng Xiao 001; Yutong Guo; Haipeng Zhu; Chaolong Jia; Qian Li 009; Rong Wang 003; Guoyin Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)