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ORCIDZhiwei Hao 0001
Person information
- affiliation: Beijing Institute of Technology, Beijing, China
Other persons with the same name
- Zhiwei Hao — disambiguation page
- Zhiwei Hao 0002
![[0000-0002-6470-5638]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6470-5638")
— Northwestern Polytechnical University, Xi'an, China
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Journal Articles
- 2025
[j4]Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Yonggang Wen:
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning. Int. J. Comput. Vis. 133(8): 5527-5543 (2025)- 2024
- [j3]Guanyu Xu, Zhiwei Hao, Yong Luo, Han Hu, Jianping An, Shiwen Mao:
DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices. IEEE Trans. Mob. Comput. 23(5): 5917-5932 (2024) - 2023
- [j2]Zhiwei Hao, Guanyu Xu, Yong Luo, Han Hu, Jianping An, Shiwen Mao:
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning. IEEE Trans. Mob. Comput. 22(10): 6041-6055 (2023) - 2022
- [j1]Zhiwei Hao, Yong Luo, Zhi Wang, Han Hu, Jianping An:
CDFKD-MFS: Collaborative Data-Free Knowledge Distillation via Multi-Level Feature Sharing. IEEE Trans. Multim. 24: 4262-4274 (2022)
Conference and Workshop Papers
- 2024
- [c9]Mengyu Zheng, Zhiwei Hao, Yehui Tang, Chang Xu:
Visual Prompting via Partial Optimal Transport. ECCV (35) 2024: 1-18 - [c8]Mengyu Zheng, Yehui Tang, Zhiwei Hao, Kai Han, Yunhe Wang, Chang Xu:
Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models. ECCV (54) 2024: 109-125 - [c7]Zhiwei Hao, Jianyuan Guo, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu:
Data-efficient Large Vision Models through Sequential Autoregression. ICML 2024 - [c6]Zhiwei Hao, Zhongyu Xiao, Yong Luo, Jianyuan Guo, Jing Wang, Li Shen, Han Hu:
PrimKD: Primary Modality Guided Multimodal Fusion for RGB-D Semantic Segmentation. ACM Multimedia 2024: 1943-1951 - 2023
- [c5]Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang:
Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale. NeurIPS 2023 - [c4]Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu:
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. NeurIPS 2023 - 2022
- [c3]Zhiwei Hao, Jianyuan Guo, Ding Jia, Kai Han, Yehui Tang, Chao Zhang, Han Hu, Yunhe Wang:
Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation. NeurIPS 2022 - 2021
- [c2]Zhiwei Hao, Yong Luo, Zhi Wang, Han Hu, Jianping An:
Model Compression via Collaborative Data-Free Knowledge Distillation for Edge Intelligence. ICME 2021: 1-6 - [c1]Zhiwei Hao, Yong Luo, Han Hu, Jianping An, Yonggang Wen:
Data-Free Ensemble Knowledge Distillation for Privacy-conscious Multimedia Model Compression. ACM Multimedia 2021: 1803-1811
Informal and Other Publications
- 2025
- [i11]Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Guoxia Wang, Dianhai Yu, Yonggang Wen, Dacheng Tao:
Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities. CoRR abs/2505.01043 (2025) - [i10]Guanyu Xu, Zhiwei Hao, Li Shen, Yong Luo, Fuhui Sun, Xiaoyan Wang, Han Hu, Yonggang Wen:
CoFormer: Collaborating with Heterogeneous Edge Devices for Scalable Transformer Inference. CoRR abs/2508.20375 (2025) - 2024
- [i9]Jianyuan Guo, Zhiwei Hao, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu:
Data-efficient Large Vision Models through Sequential Autoregression. CoRR abs/2402.04841 (2024) - [i8]Chengcheng Wang, Zhiwei Hao, Yehui Tang, Jianyuan Guo, Yujie Yang, Kai Han, Yunhe Wang:
SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution. CoRR abs/2402.17133 (2024) - [i7]Zhenhua Liu, Zhiwei Hao, Kai Han, Yehui Tang, Yunhe Wang:
GhostNetV3: Exploring the Training Strategies for Compact Models. CoRR abs/2404.11202 (2024) - [i6]Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Yonggang Wen:
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning. CoRR abs/2410.17779 (2024) - 2023
- [i5]Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang:
VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale. CoRR abs/2305.15781 (2023) - [i4]Guanyu Xu, Zhiwei Hao, Yong Luo, Han Hu, Jianping An, Shiwen Mao:
DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices. CoRR abs/2309.05015 (2023) - [i3]Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu:
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. CoRR abs/2310.19444 (2023) - 2022
- [i2]Zhiwei Hao, Yong Luo, Zhi Wang, Han Hu, Jianping An:
CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing. CoRR abs/2205.11845 (2022) - [i1]Zhiwei Hao, Guanyu Xu, Yong Luo, Han Hu, Jianping An, Shiwen Mao:
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning. CoRR abs/2205.11854 (2022)
Coauthor Index
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