Zhiwei Hao

30 papers A* 6A 1Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
LightMoE: Reducing Mixture-of-Experts Redundancy through Expert Replacing.
CoRR
Jiawei Hao, Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Dan Zeng
2026 J jnl
Streaming-dLLM: Accelerating Diffusion LLMs via Suffix Pruning and Dynamic Decoding.
CoRR
Zhongyu Xiao, Zhiwei Hao, Jianyuan Guo, Yong Luo, Jia Liu, Jie Xu, Han Hu
2026 J jnl
Toward Effective Knowledge Distillation: Navigating Beyond Small-Data Pitfall.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang
2025 J jnl
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning.
Int. J. Comput. Vis.
Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Yonggang Wen
2025 J jnl
CoFormer: Collaborating With Heterogeneous Edge Devices for Scalable Transformer Inference.
IEEE Trans. Computers
Guanyu Xu, Zhiwei Hao, Li Shen, Yong Luo, Fuhui Sun, Xiaoyan Wang, Han Hu, Yonggang Wen
2025 J jnl
CoFormer: Collaborating with Heterogeneous Edge Devices for Scalable Transformer Inference.
CoRR
Guanyu Xu, Zhiwei Hao, Li Shen, Yong Luo, Fuhui Sun, Xiaoyan Wang, Han Hu, Yonggang Wen
2025 J jnl
Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities.
CoRR
Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Guoxia Wang, Dianhai Yu, Yonggang Wen, Dacheng Tao
2025 J jnl
ScaleNet: Scaling up Pretrained Neural Networks With Incremental Parameters.
IEEE Trans. Image Process.
Zhiwei Hao, Jianyuan Guo, Li Shen, Kai Han, Yehui Tang, Han Hu, Yunhe Wang
2025 J jnl
ScaleNet: Scaling up Pretrained Neural Networks with Incremental Parameters.
CoRR
Zhiwei Hao, Jianyuan Guo, Li Shen, Kai Han, Yehui Tang, Han Hu, Yunhe Wang
2024 J jnl
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning.
CoRR
Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Yonggang Wen
2024 — conf
Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models.
ECCV (54)
Mengyu Zheng, Yehui Tang, Zhiwei Hao, Kai Han, Yunhe Wang, Chang Xu
2024 A* conf
Data-efficient Large Vision Models through Sequential Autoregression.
ICML
Zhiwei Hao, Jianyuan Guo, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu
2024 J jnl
Data-efficient Large Vision Models through Sequential Autoregression.
CoRR
Jianyuan Guo, Zhiwei Hao, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu
2024 J jnl
DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices.
IEEE Trans. Mob. Comput.
Guanyu Xu, Zhiwei Hao, Yong Luo, Han Hu, Jianping An, Shiwen Mao
2024 J jnl
GhostNetV3: Exploring the Training Strategies for Compact Models.
CoRR
Zhenhua Liu, Zhiwei Hao, Kai Han, Yehui Tang, Yunhe Wang
2024 A* conf
PrimKD: Primary Modality Guided Multimodal Fusion for RGB-D Semantic Segmentation.
ACM Multimedia
Zhiwei Hao, Zhongyu Xiao, Yong Luo, Jianyuan Guo, Jing Wang, Li Shen, Han Hu
2024 J jnl
SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution.
CoRR
Chengcheng Wang, Zhiwei Hao, Yehui Tang, Jianyuan Guo, Yujie Yang, Kai Han, Yunhe Wang
2024 — conf
Visual Prompting via Partial Optimal Transport.
ECCV (35)
Mengyu Zheng, Zhiwei Hao, Yehui Tang, Chang Xu
2023 J jnl
DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices.
CoRR
Guanyu Xu, Zhiwei Hao, Yong Luo, Han Hu, Jianping An, Shiwen Mao
2023 J jnl
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning.
IEEE Trans. Mob. Comput.
Zhiwei Hao, Guanyu Xu, Yong Luo, Han Hu, Jianping An, Shiwen Mao
2023 A* conf
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation.
NeurIPS
Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu
2023 J jnl
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation.
CoRR
Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu
2023 A* conf
Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale.
NeurIPS
Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang
2023 J jnl
VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale.
CoRR
Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang
2022 J jnl
CDFKD-MFS: Collaborative Data-Free Knowledge Distillation via Multi-Level Feature Sharing.
IEEE Trans. Multim.
Zhiwei Hao, Yong Luo, Zhi Wang, Han Hu, Jianping An
2022 J jnl
CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing.
CoRR
Zhiwei Hao, Yong Luo, Zhi Wang, Han Hu, Jianping An
2022 A* conf
Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation.
NeurIPS
Zhiwei Hao, Jianyuan Guo, Ding Jia, Kai Han, Yehui Tang, Chao Zhang, Han Hu, Yunhe Wang
2022 J jnl
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning.
CoRR
Zhiwei Hao, Guanyu Xu, Yong Luo, Han Hu, Jianping An, Shiwen Mao
2021 A* conf
Data-Free Ensemble Knowledge Distillation for Privacy-conscious Multimedia Model Compression.
ACM Multimedia
Zhiwei Hao, Yong Luo, Han Hu, Jianping An, Yonggang Wen
2021 A conf
Model Compression via Collaborative Data-Free Knowledge Distillation for Edge Intelligence.
ICME
Zhiwei Hao, Yong Luo, Zhi Wang, Han Hu, Jianping An