Jun Chen

Publication Activity (10 Years)

Years Active: 2024-2024
Publications (10 Years): 8

Top Topics

Action Detection

Diffusion Models

Conjugate Gradient

Sparse Learning

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Eng. Appl. Artif. Intell.

Publications

Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu
M2-CLIP: A Multimodal, Multi-task Adapting Framework for Video Action Recognition. CoRR (2024)
Shanqi Liu, Weiwei Liu, Wenzhou Chen, Guanzhong Tian, Jun Chen, Yao Tong, Junjie Cao, Yong Liu
Learning Multi-Agent Cooperation via Considering Actions of Teammates. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang
Timestep-Aware Correction for Quantized Diffusion Models. CoRR (2024)
Siqi Li, Jun Chen, Jingyang Xiang, Chengrui Zhu, Yong Liu
AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction. CoRR (2024)
Xiaozhou Xu, Jun Chen, Zhishan Li, Hongye Su, Lei Xie
Towards efficient filter pruning via adaptive automatic structure search. Eng. Appl. Artif. Intell. 133 (2024)
Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu
A Multimodal, Multi-Task Adapting Framework for Video Action Recognition. AAAI (2024)
Yuang Liu, Jun Chen, Yong Liu
DCCD: Reducing Neural Network Redundancy via Distillation. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold. ICLR (2024)