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ORCIDHaonan Zhang 0002
Person information
- affiliation: Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, Shaanxi, China
Other persons with the same name
- Haonan Zhang — disambiguation page
- Haonan Zhang 0001
![[0009-0004-8586-5296]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0004-8586-5296")
— Fudan University, Department of Computer Science and Technology, School of Computer Science, Shanghai, China - Haonan Zhang 0003 — University of Electronic Science and Technology of China (UESTC), Future Media Center, School of Computer Science and Engineering, Chengdu, China (and 1 more)
- Haonan Zhang 0004 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, China
- Haonan Zhang 0005 — Southwest JiaoTong University, School of Information Science and Technology, Chengdu, China
- Haonan Zhang 0006 — University of Waterloo, ON, Canada (and 1 more)
- Haonan Zhang 0007 — Zhejiang University, College of Control Science and Engineering, Hangzhou, China
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2020 – today
- 2025
[j9]Xinyu Lei, Longjun Liu, Haoteng Li, Haonan Zhang:
Self-supervised motion forecasting with local information interaction in autonomous driving. Appl. Intell. 55(4): 321 (2025)- [j8]Haonan Zhang, Longjun Liu, Fei Hui, Bo Zhang, Hengmin Zhang, Zhiyuan Zha:
CLEAN: Category Knowledge-Driven Compression Framework for Efficient 3D Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 47(10): 8740-8755 (2025) - [j7]Haonan Zhang, Longjun Liu, Yi Zhang, Xinyu Lei, Fei Hui, Bihan Wen:
DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance. IEEE Trans. Neural Networks Learn. Syst. 36(6): 11243-11257 (2025) - [c8]Yuqi Huang, Longjun Liu, Yingke Gao, Haonan Zhang, Haoteng Li:
D2S: Towards Efficient Sparse 3D Object Detection via Dense to Sparse Knowledge Distillation. ICASSP 2025: 1-5 - 2024
- [j6]Xinyu Lei, Longjun Liu, Puhang Jia, Haoteng Li, Haonan Zhang:
Low-Light Infrared and Visible Image Fusion With Imbalanced Thermal Radiation Distribution. IEEE Trans. Instrum. Meas. 73: 1-15 (2024) - [c7]Hongyi He, Longjun Liu, Haonan Zhang, Nanning Zheng:
IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance. AAAI 2024: 12367-12375 - [c6]Haonan Zhang, Longjun Liu, Yuqi Huang, Zhao Yang, Xinyu Lei, Bihan Wen:
CaKDP: Category-Aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object Detection. CVPR 2024: 15331-15341 - 2023
- [j5]Xinyu Lei, Longjun Liu, Yi Zhang, Puhang Jia, Haonan Zhang, Nanning Zheng:
RepCo: Replenish sample views with better consistency for contrastive learning. Neural Networks 168: 171-179 (2023) - [j4]Haonan Zhang, Longjun Liu, Bingyao Kang, Nanning Zheng:
Hierarchical Model Compression via Shape-Edge Representation of Feature Maps - an Enlightenment From the Primate Visual System. IEEE Trans. Multim. 25: 6958-6970 (2023) - [c5]Yi Zhang, Yingke Gao, Haonan Zhang, Xinyu Lei, Longjun Liu:
Cross-Layer Patch Alignment and Intra-and-Inter Patch Relations for Knowledge Distillation. ICIP 2023: 535-539 - [i1]Hongyi He, Longjun Liu, Haonan Zhang, Nanning Zheng:
IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance. CoRR abs/2312.12648 (2023) - 2022
- [j3]Wenxuan Hou, Longjun Liu, Haonan Zhang, Hongbin Sun, Nanning Zheng:
DFSNet: Dividing-fuse deep neural networks with searching strategy for distributed DNN architecture. Neurocomputing 483: 488-500 (2022) - [j2]Haonan Zhang, Longjun Liu, Hengyi Zhou, Hongbin Sun, Nanning Zheng:
CMD: controllable matrix decomposition with global optimization for deep neural network compression. Mach. Learn. 111(3): 831-851 (2022) - [j1]Haonan Zhang, Longjun Liu, Hengyi Zhou, Liang Si, Hongbin Sun, Nanning Zheng:
FCHP: Exploring the Discriminative Feature and Feature Correlation of Feature Maps for Hierarchical DNN Pruning and Compression. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6807-6820 (2022) - [c4]Hengyi Zhou, Hongyi He, Wanchen Liu, Yuhai Li, Haonan Zhang, Longjun Liu:
A Novel Differentiable Mixed-Precision Quantization Search Framework for Alleviating the Matthew Effect and Improving Robustness. ACML 2022: 1277-1292 - [c3]Hengyi Zhou, Longjun Liu, Haonan Zhang, Hongyi He, Nanning Zheng:
CMB: A Novel Structural Re-parameterization Block without Extra Training Parameters. IJCNN 2022: 1-9 - [c2]Hengyi Zhou, Longjun Liu, Haonan Zhang, Nanning Zheng:
Rethinking the Mechanism of the Pattern Pruning and the Circle Importance Hypothesis. ACM Multimedia 2022: 4899-4908 - 2021
- [c1]Haonan Zhang, Longjun Liu, Hengyi Zhou, Wenxuan Hou, Hongbin Sun, Nanning Zheng:
AKECP: Adaptive Knowledge Extraction from Feature Maps for Fast and Efficient Channel Pruning. ACM Multimedia 2021: 648-657
Coauthor Index
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