Jun Chen

According to our database, Jun Chen authored at least 41 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

OnSort: An O(n) Comparison-Free Sorter for Large-Scale Dataset With Parallel Prefetching and Sparse-Aware Mechanism.

Muxuan Gao, Juntao Jiang, Shuangming Lei, Huifeng Wu, Jun Chen, Yong Liu

IEEE Trans. Circuits Syst. II Express Briefs, July, 2025

Hyperbolic Binary Neural Network.

Jun Chen, Jingyang Xiang, Tianxin Huang, Xiangrui Zhao, Yong Liu

IEEE Trans. Neural Networks Learn. Syst., June, 2025

Adding Before Pruning: Sparse Filter Fusion for Deep Convolutional Neural Networks via Auxiliary Attention.

Guanzhong Tian, Yiran Sun, Yuang Liu, Xianfang Zeng, Mengmeng Wang, Yong Liu, Jiangning Zhang, Jun Chen

IEEE Trans. Neural Networks Learn. Syst., March, 2025

MCMC: Multi-Constrained Model Compression via One-Stage Envelope Reinforcement Learning.

Siqi Li, Jun Chen, Shanqi Liu, Chengrui Zhu, Guanzhong Tian, Yong Liu

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking.

Jun Chen, Lina Liu, Tianyi Zhu, Yong Liu, Guang Dai, Yunliang Jiang, Ivor W. Tsang

IEEE Trans. Signal Process., 2025

Manifold Constraint Reduces Exposure Bias in Accelerated Diffusion Sampling.

Yuzhe Yao, Jun Chen, Zeyi Huang, Haonan Lin, Mengmeng Wang, Guang Dai, Jingdong Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Learning Multi-Agent Cooperation via Considering Actions of Teammates.

Shanqi Liu, Weiwei Liu, Wenzhou Chen, Guanzhong Tian, Jun Chen, Yao Tong, Junjie Cao, Yong Liu

IEEE Trans. Neural Networks Learn. Syst., August, 2024

DCCD: Reducing Neural Network Redundancy via Distillation.

Yuang Liu, Jun Chen, Yong Liu

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Learnable Chamfer Distance for point cloud reconstruction.

Tianxin Huang, Qingyao Liu, Xiangrui Zhao, Jun Chen, Yong Liu

Pattern Recognit. Lett., 2024

Semi-supervised noise-resilient anomaly detection with feature autoencoder.

Tianyi Zhu, Lina Liu, Yibo Sun, Zhi Lu, Yuanlong Zhang, Chao Xu, Jun Chen

Knowl. Based Syst., 2024

Towards efficient filter pruning via adaptive automatic structure search.

Xiaozhou Xu, Jun Chen, Zhishan Li, Hongye Su, Lei Xie

Eng. Appl. Artif. Intell., 2024

AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction.

Siqi Li, Jun Chen, Jingyang Xiang, Chengrui Zhu, Yong Liu

CoRR, 2024

M2-CLIP: A Multimodal, Multi-task Adapting Framework for Video Action Recognition.

Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu

CoRR, 2024

Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold.

Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Structured Optimal Brain Pruning for Large Language Models.

Jiateng Wei, Quan Lu, Ning Jiang, Siqi Li, Jingyang Xiang, Jun Chen, Yong Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Timestep-Aware Correction for Quantized Diffusion Models.

Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

A Multimodal, Multi-Task Adapting Framework for Video Action Recognition.

Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-Dimension Compression of Feed-Forward Network in Vision Transformers.

Shipeng Bai, Jun Chen, Yu Yang, Yong Liu

Pattern Recognit. Lett., December, 2023

Pse: mixed quantization framework of neural networks for efficient deployment.

Yingqing Yang, Guanzhong Tian, Mingyuan Liu, Yihao Chen, Jun Chen, Yong Liu, Yu Pan, Longhua Ma

J. Real Time Image Process., December, 2023

Data-free quantization via mixed-precision compensation without fine-tuning.

Jun Chen, Shipeng Bai, Tianxin Huang, Mengmeng Wang, Guanzhong Tian, Yong Liu

Pattern Recognit., November, 2023

Single-shot pruning and quantization for hardware-friendly neural network acceleration.

Bofeng Jiang, Jun Chen, Yong Liu

Eng. Appl. Artif. Intell., November, 2023

Learning SpatioTemporal and Motion Features in a Unified 2D Network for Action Recognition.

Mengmeng Wang, Jiazheng Xing, Jing Su, Jun Chen, Yong Liu

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

CR-SFP: Learning Consistent Representation for Soft Filter Pruning.

Jingyang Xiang, Zhuangzhi Chen, Jianbiao Mei, Siqi Li, Jun Chen, Yong Liu

CoRR, 2023

SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration.

Jingyang Xiang, Siqi Li, Jun Chen, Shipeng Bai, Yukai Ma, Guang Dai, Yong Liu

CoRR, 2023

Learning Discretized Neural Networks under Ricci Flow.

Jun Chen, Hanwen Chen, Mengmeng Wang, Yong Liu

CoRR, 2023

SUBP: Soft Uniform Block Pruning for 1×N Sparse CNNs Multithreading Acceleration.

Jingyang Xiang, Siqi Li, Jun Chen, Guang Dai, Shipeng Bai, Yukai Ma, Yong Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Global-aware Kernel for Image Harmonization.

Xintian Shen, Jiangning Zhang, Jun Chen, Shipeng Bai, Yue Han, Yabiao Wang, Chengjie Wang, Yong Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning.

Shipeng Bai, Jun Chen, Xintian Shen, Yixuan Qian, Yong Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

3QNet: 3D Point Cloud Geometry Quantization Compression Network.

Tianxin Huang, Jiangning Zhang, Jun Chen, Zhonggan Ding, Ying Tai, Zhenyu Zhang, Chengjie Wang, Yong Liu

ACM Trans. Graph., 2022

Fast Point Cloud Sampling Network.

Tianxin Huang, Jun Chen, Jiangning Zhang, Yong Liu, Jie Liang

Pattern Recognit. Lett., 2022

Towards efficient filter pruning via topology.

Xiaozhou Xu, Jun Chen, Hongye Su, Lei Xie

J. Real Time Image Process., 2022

SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud.

Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

Resolution-Free Point Cloud Sampling Network with Data Distillation.

Tianxin Huang, Jiangning Zhang, Jun Chen, Yuang Liu, Yong Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Train a Point Cloud Reconstruction Network Without Matching.

Tianxin Huang, Xuemeng Yang, Jiangning Zhang, Jinhao Cui, Hao Zou, Jun Chen, Xiangrui Zhao, Yong Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

A Learning Framework for n-Bit Quantized Neural Networks Toward FPGAs.

Jun Chen, Liang Liu, Yong Liu, Xianfang Zeng

IEEE Trans. Neural Networks Learn. Syst., 2021

Pruning by Training: A Novel Deep Neural Network Compression Framework for Image Processing.

Guanzhong Tian, Jun Chen, Xianfang Zeng, Yong Liu

IEEE Signal Process. Lett., 2021

Dynamically Stable Poincaré Embeddings for Neural Manifolds.

Jun Chen, Yuang Liu, Xiangrui Zhao, Yong Liu

CoRR, 2021

Thoughts on the Consistency between Ricci Flow and Neural Network Behavior.

Jun Chen, Tianxin Huang, Wenzhou Chen, Yong Liu

CoRR, 2021

2020

Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks.

Jun Chen, Yong Liu, Hao Zhang, Shengnan Hou, Jian Yang

IEEE J. Sel. Top. Signal Process., 2020

APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment.

Jiangning Zhang, Xianfang Zeng, Chao Xu, Jun Chen, Yong Liu, Yunliang Jiang

CoRR, 2020

Tracking an Object over 200 FPS with the Fusion of Prior Probability and Kalman Filter.

Jun Chen, Jin-Hui Zhao, Wei Zhang, Yong Liu

Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020