Haipeng Zhu

According to our database, Haipeng Zhu authored at least 20 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Attack-Tolerant Fuzzy Path Following Control for Distributed Drive Electric Vehicles via Event-Triggered Output Feedback.

Junru Jia, Wenfeng Li, Haipeng Zhu, Pak-Kin Wong, Zhengchao Xie, Jing Zhao

IEEE Internet Things J., 2026

Design of a Multi-Octave UWB Power Amplifier Combining the Extended Continuous Class-GF/GF ^-1 Modes.

Huanyu Chen, Haipeng Zhu, Zhiwei Zhang

Int. J. Circuit Theory Appl., 2026

11.8 A 14b 20GS/s RF-Sampling DAC Achieving 70.4dBc IMD3 Up to 8.9GHz.

Hao Luo, Zhijun Long, Wentao Zhu, Haowei Lu, Yushen Fu, Mingqian Lei, Cheng Wang, Xiaoge Zhu, Yumei Diao, Haipeng Zhu, Jiajun Zhong, Li Tian, Yi Yang, Xinli Geng, Keqing Ouyang

Proceedings of the IEEE International Solid-State Circuits Conference, 2026

2025

An Unsupervised Federated Domain Adaptation Method Based on Knowledge Distillation.

Yunpeng Xiao, Yutong Guo, Haipeng Zhu, Chaolong Jia, Qian Li, Rong Wang, Guoyin Wang

IEEE Trans. Neural Networks Learn. Syst., June, 2025

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting.

Wei Chen, Jiahao Zhang, Haipeng Zhu, Boyan Xu, Zhifeng Hao, Keli Zhang, Junjian Ye, Ruichu Cai

CoRR, May, 2025

A cross-scale Gaussian wavelet model with decomposition cross-consistency for TAO multifocal region semi-supervised segmentation.

Haipeng Zhu, Hong He, Xuefei Song

Soft Comput., April, 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., March, 2025

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

Accelerating Magnetic Particle Imaging with Data Parallelism: A Comparative Study.

Haipeng Zhu, Yuan He, Xiaohan Yue, Qinyang Zhang, Lihui Wang, Shi Bai

Proceedings of the 18th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2025

Mitigating Q-Value Overestimation through Latent Causal Modeling in Deep Reinforcement Learning.

Ruichu Cai, Fuyi Lin, Wei Chen, Jie Qiao, Haipeng Zhu, Zhifeng Hao

Proceedings of the International Joint Conference on Neural Networks, 2025

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting.

Wei Chen, Jiahao Zhang, Haipeng Zhu, Boyan Xu, Zhifeng Hao, Keli Zhang, Junjian Ye, Ruichu Cai

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

A novel residual fourier convolution model for brain tumor segmentation of mr images.

Haipeng Zhu, Hong He

Pattern Anal. Appl., December, 2024

IMoVR-Net: A robust interpretable network for multi-ocular lesion recognition from TAO facial images.

Haipeng Zhu, Hong He, Huifang Zhou

Comput. Biol. Medicine, January, 2024

2023

A novel encoder-decoder wavelet model for multifocal region segmentation of TAO facial images.

Haipeng Zhu, Huifang Zhou, Hong He, Jiayu Chen, Xuefei Song, Kunhao Li, Lei Zhou

Neural Comput. Appl., September, 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, March, 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

Appl. Soft Comput., March, 2023

A broadband high-efficiency GaN-based power amplifier using an improved continuous mode.

Haipeng Zhu, Zhiwei Zhang, Chao Gu

IEICE Electron. Express, 2023

Latent Causal Dynamics Model for Model-Based Reinforcement Learning.

Zhifeng Hao, Haipeng Zhu, Wei Chen, Ruichu Cai

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

A Deformable Convolution Encoder with Multi-scale Attention Fusion Mechanism for Classification of Brain Tumor MRI Images.

Haipeng Zhu, Hong He, Neil Roberts, Kunhao Li

Proceedings of the Biometric Recognition - 16th Chinese Conference, 2022

2021

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

PeerJ Comput. Sci., 2021