Model Compression via Collaborative Data-Free Knowledge Distillation for Edge Intelligence. - Zhiwei Hao 001; Yong Luo 002; Zhi Wang 001; Han Hu 003; Jianping An (ICME, 2021)

Data-Free Ensemble Knowledge Distillation for Privacy-conscious Multimedia Model Compression. - Zhiwei Hao 001; Yong Luo 002; Han Hu 003; Jianping An; Yonggang Wen 001 (ACM Multimedia, 2021)

Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation. - Zhiwei Hao 001; Jianyuan Guo; Ding Jia; Kai Han 002; Yehui Tang; Chao Zhang 001; Han Hu 001; Yunhe Wang 001 (NeurIPS, 2022)

CDFKD-MFS: Collaborative Data-Free Knowledge Distillation via Multi-Level Feature Sharing. - Zhiwei Hao 001; Yong Luo 002; Zhi Wang 001; Han Hu 003; Jianping An (IEEE Trans. Multim., 2022)

Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale. - Zhiwei Hao 001; Jianyuan Guo; Kai Han 002; Han Hu 001; Chang Xu 002; Yunhe Wang 001 (NeurIPS, 2023)

One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. - Zhiwei Hao 001; Jianyuan Guo; Kai Han 002; Yehui Tang; Han Hu 001; Yunhe Wang 001; Chang Xu 002 (NeurIPS, 2023)

VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale. - Zhiwei Hao 001; Jianyuan Guo; Kai Han 002; Han Hu 001; Chang Xu 002; Yunhe Wang 001 (CoRR, 2023)

Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning. - Zhiwei Hao 001; Guanyu Xu; Yong Luo 002; Han Hu 003; Jianping An; Shiwen Mao (IEEE Trans. Mob. Comput., 2023)

Visual Prompting via Partial Optimal Transport. - Mengyu Zheng; Zhiwei Hao 001; Yehui Tang; Chang Xu 002 (ECCV (35), 2024)

Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models. - Mengyu Zheng; Yehui Tang; Zhiwei Hao 001; Kai Han 002; Yunhe Wang 001; Chang Xu 002 (ECCV (54), 2024)

Data-efficient Large Vision Models through Sequential Autoregression. - Zhiwei Hao 001; Jianyuan Guo; Chengcheng Wang; Yehui Tang; Han Wu 009; Han Hu 001; Kai Han 002; Chang Xu 002 (ICML, 2024)

PrimKD: Primary Modality Guided Multimodal Fusion for RGB-D Semantic Segmentation. - Zhiwei Hao 001; Zhongyu Xiao; Yong Luo 002; Jianyuan Guo; Jing Wang 055; Li Shen 008; Han Hu 003 (ACM Multimedia, 2024)

SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution. - Chengcheng Wang; Zhiwei Hao 001; Yehui Tang; Jianyuan Guo; Yujie Yang; Kai Han 002; Yunhe Wang 001 (CoRR, 2024)

GhostNetV3: Exploring the Training Strategies for Compact Models. - Zhenhua Liu 003; Zhiwei Hao 001; Kai Han 002; Yehui Tang; Yunhe Wang 001 (CoRR, 2024)

DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices. - Guanyu Xu; Zhiwei Hao 001; Yong Luo 002; Han Hu 003; Jianping An; Shiwen Mao (IEEE Trans. Mob. Comput., 2024)

Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities. - Zhiwei Hao 001; Jianyuan Guo; Li Shen 008; Yong Luo 002; Han Hu 003; Guoxia Wang; Dianhai Yu; Yonggang Wen 001; Dacheng Tao (CoRR, 2025)

CoFormer: Collaborating with Heterogeneous Edge Devices for Scalable Transformer Inference. - Guanyu Xu; Zhiwei Hao 001; Li Shen 008; Yong Luo 002; Fuhui Sun; Xiaoyan Wang; Han Hu 003; Yonggang Wen 001 (CoRR, 2025)

ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning. - Zhiwei Hao 001; Jianyuan Guo; Li Shen 008; Yong Luo 002; Han Hu 003; Yonggang Wen 001 (Int. J. Comput. Vis., 2025)