Jun Chen

56 papers A* 7Misc 1Journal 44Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Automatic data-free pruning via channel similarity reconstruction.
Neurocomputing
Siqi Li, Jun Chen, Jingyang Xiang, Chengrui Zhu, Jiandang Yang, Xiaobin Wei, Yunliang Jiang, Yong Liu
2026 J jnl
OOPS: Outlier-aware and quadratic programming based structured pruning for large language models.
Neural Networks
Jiateng Wei, Siqi Li, Jingyang Xiang, Jiandang Yang, Jun Chen, Xiaobin Wei, Yunliang Jiang, Yong Liu
2026 J jnl
WLR: Well-conditioned linear reconstruction for retraining-free pruning of LLMs.
Neural Networks
Siqi Li, Jingyang Xiang, Jiateng Wei, Chengrui Zhu, Jiandang Yang, Jun Chen, Jian Yang, Xiaobin Wei, Yunliang Jiang, Yong Liu
2025 J jnl
Adding Before Pruning: Sparse Filter Fusion for Deep Convolutional Neural Networks via Auxiliary Attention.
IEEE Trans. Neural Networks Learn. Syst.
Guanzhong Tian, Yiran Sun, Yuang Liu, Xianfang Zeng, Mengmeng Wang, Yong Liu, Jiangning Zhang, Jun Chen
2025 J jnl
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking.
CoRR
Jun Chen, Lina Liu, Tianyi Zhu, Yong Liu, Guang Dai, Yunliang Jiang, Ivor W. Tsang
2025 J jnl
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking.
IEEE Trans. Signal Process.
Jun Chen, Lina Liu, Tianyi Zhu, Yong Liu, Guang Dai, Yunliang Jiang, Ivor W. Tsang
2025 J jnl
Hyperbolic Binary Neural Network.
CoRR
Jun Chen, Jingyang Xiang, Tianxin Huang, Xiangrui Zhao, Yong Liu
2025 J jnl
Hyperbolic Binary Neural Network.
IEEE Trans. Neural Networks Learn. Syst.
Jun Chen, Jingyang Xiang, Tianxin Huang, Xiangrui Zhao, Yong Liu
2025 J jnl
MCMC: Multi-Constrained Model Compression via One-Stage Envelope Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Siqi Li, Jun Chen, Shanqi Liu, Chengrui Zhu, Guanzhong Tian, Yong Liu
2025 A* conf
Manifold Constraint Reduces Exposure Bias in Accelerated Diffusion Sampling.
ICLR
Yuzhe Yao, Jun Chen, Zeyi Huang, Haonan Lin, Mengmeng Wang, Guang Dai, Jingdong Wang
2025 J jnl
OnSort: An O(n) Comparison-Free Sorter for Large-Scale Dataset With Parallel Prefetching and Sparse-Aware Mechanism.
IEEE Trans. Circuits Syst. II Express Briefs
Muxuan Gao, Juntao Jiang, Shuangming Lei, Huifeng Wu, Jun Chen, Yong Liu
2024 A* conf
A Multimodal, Multi-Task Adapting Framework for Video Action Recognition.
AAAI
Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu
2024 J jnl
AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction.
CoRR
Siqi Li, Jun Chen, Jingyang Xiang, Chengrui Zhu, Yong Liu
2024 J jnl
DCCD: Reducing Neural Network Redundancy via Distillation.
IEEE Trans. Neural Networks Learn. Syst.
Yuang Liu, Jun Chen, Yong Liu
2024 A* conf
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold.
ICLR
Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu
2024 J jnl
Learnable Chamfer Distance for point cloud reconstruction.
Pattern Recognit. Lett.
Tianxin Huang, Qingyao Liu, Xiangrui Zhao, Jun Chen, Yong Liu
2024 J jnl
Learning Discretized Neural Networks under Ricci Flow.
J. Mach. Learn. Res.
Jun Chen, Hanwen Chen, Mengmeng Wang, Guang Dai, Ivor W. Tsang, Yong Liu
2024 J jnl
Learning Multi-Agent Cooperation via Considering Actions of Teammates.
IEEE Trans. Neural Networks Learn. Syst.
Shanqi Liu, Weiwei Liu, Wenzhou Chen, Guanzhong Tian, Jun Chen, Yao Tong, Junjie Cao, Yong Liu
2024 J jnl
M2-CLIP: A Multimodal, Multi-task Adapting Framework for Video Action Recognition.
CoRR
Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu
2024 J jnl
Semi-supervised noise-resilient anomaly detection with feature autoencoder.
Knowl. Based Syst.
Tianyi Zhu, Lina Liu, Yibo Sun, Zhi Lu, Yuanlong Zhang, Chao Xu, Jun Chen
2024 A* conf
Structured Optimal Brain Pruning for Large Language Models.
EMNLP
Jiateng Wei, Quan Lu, Ning Jiang, Siqi Li, Jingyang Xiang, Jun Chen, Yong Liu
2024 — conf
Timestep-Aware Correction for Quantized Diffusion Models.
ECCV (66)
Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang
2024 J jnl
Timestep-Aware Correction for Quantized Diffusion Models.
CoRR
Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang
2024 J jnl
Towards efficient filter pruning via adaptive automatic structure search.
Eng. Appl. Artif. Intell.
Xiaozhou Xu, Jun Chen, Zhishan Li, Hongye Su, Lei Xie
2023 J jnl
CR-SFP: Learning Consistent Representation for Soft Filter Pruning.
CoRR
Jingyang Xiang, Zhuangzhi Chen, Jianbiao Mei, Siqi Li, Jun Chen, Yong Liu
2023 J jnl
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning.
CoRR
Jun Chen, Shipeng Bai, Tianxin Huang, Mengmeng Wang, Guanzhong Tian, Yong Liu
2023 J jnl
Data-free quantization via mixed-precision compensation without fine-tuning.
Pattern Recognit.
Jun Chen, Shipeng Bai, Tianxin Huang, Mengmeng Wang, Guanzhong Tian, Yong Liu
2023 J jnl
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold.
CoRR
Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu
2023 J jnl
Learnable Chamfer Distance for Point Cloud Reconstruction.
CoRR
Tianxin Huang, Qingyao Liu, Xiangrui Zhao, Jun Chen, Yong Liu
2023 J jnl
Learning Discretized Neural Networks under Ricci Flow.
CoRR
Jun Chen, Hanwen Chen, Mengmeng Wang, Yong Liu
2023 A* conf
Learning Global-aware Kernel for Image Harmonization.
ICCV
Xintian Shen, Jiangning Zhang, Jun Chen, Shipeng Bai, Yue Han, Yabiao Wang, Chengjie Wang, Yong Liu
2023 J jnl
Learning Global-aware Kernel for Image Harmonization.
CoRR
Xintian Shen, Jiangning Zhang, Jun Chen, Shipeng Bai, Yue Han, Yabiao Wang, Chengjie Wang, Yong Liu
2023 J jnl
Learning SpatioTemporal and Motion Features in a Unified 2D Network for Action Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Mengmeng Wang, Jiazheng Xing, Jing Su, Jun Chen, Yong Liu
2023 J jnl
Multi-Dimension Compression of Feed-Forward Network in Vision Transformers.
Pattern Recognit. Lett.
Shipeng Bai, Jun Chen, Yu Yang, Yong Liu
2023 J jnl
Pse: mixed quantization framework of neural networks for efficient deployment.
J. Real Time Image Process.
Yingqing Yang, Guanzhong Tian, Mingyuan Liu, Yihao Chen, Jun Chen, Yong Liu, Yu Pan, Longhua Ma
2023 J jnl
SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration.
CoRR
Jingyang Xiang, Siqi Li, Jun Chen, Shipeng Bai, Yukai Ma, Guang Dai, Yong Liu
2023 A* conf
SUBP: Soft Uniform Block Pruning for 1×N Sparse CNNs Multithreading Acceleration.
NeurIPS
Jingyang Xiang, Siqi Li, Jun Chen, Guang Dai, Shipeng Bai, Yukai Ma, Yong Liu
2023 J jnl
Single-shot pruning and quantization for hardware-friendly neural network acceleration.
Eng. Appl. Artif. Intell.
Bofeng Jiang, Jun Chen, Yong Liu
2023 A* conf
Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning.
ICCV
Shipeng Bai, Jun Chen, Xintian Shen, Yixuan Qian, Yong Liu
2023 J jnl
Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning.
CoRR
Shipeng Bai, Jun Chen, Xintian Shen, Yixuan Qian, Yong Liu
2022 J jnl
3QNet: 3D Point Cloud Geometry Quantization Compression Network.
ACM Trans. Graph.
Tianxin Huang, Jiangning Zhang, Jun Chen, Zhonggan Ding, Ying Tai, Zhenyu Zhang, Chengjie Wang, Yong Liu
2022 J jnl
Fast Point Cloud Sampling Network.
Pattern Recognit. Lett.
Tianxin Huang, Jun Chen, Jiangning Zhang, Yong Liu, Jie Liang
2022 — conf
Learning to Train a Point Cloud Reconstruction Network Without Matching.
ECCV (1)
Tianxin Huang, Xuemeng Yang, Jiangning Zhang, Jinhao Cui, Hao Zou, Jun Chen, Xiangrui Zhao, Yong Liu
2022 — conf
Resolution-Free Point Cloud Sampling Network with Data Distillation.
ECCV (2)
Tianxin Huang, Jiangning Zhang, Jun Chen, Yuang Liu, Yong Liu
2022 — conf
SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud.
ECCV (9)
Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong Liu
2022 J jnl
SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud.
CoRR
Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong Liu
2022 J jnl
Towards efficient filter pruning via topology.
J. Real Time Image Process.
Xiaozhou Xu, Jun Chen, Hongye Su, Lei Xie
2021 J jnl
A Learning Framework for n-Bit Quantized Neural Networks Toward FPGAs.
IEEE Trans. Neural Networks Learn. Syst.
Jun Chen, Liang Liu, Yong Liu, Xianfang Zeng
2021 J jnl
Dynamically Stable Poincaré Embeddings for Neural Manifolds.
CoRR
Jun Chen, Yuang Liu, Xiangrui Zhao, Yong Liu
2021 J jnl
Pruning by Training: A Novel Deep Neural Network Compression Framework for Image Processing.
IEEE Signal Process. Lett.
Guanzhong Tian, Jun Chen, Xianfang Zeng, Yong Liu
2021 J jnl
Thoughts on the Consistency between Ricci Flow and Neural Network Behavior.
CoRR
Jun Chen, Tianxin Huang, Wenzhou Chen, Yong Liu
2020 J jnl
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs.
CoRR
Jun Chen, Liang Liu, Yong Liu, Xianfang Zeng
2020 J jnl
APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment.
CoRR
Jiangning Zhang, Xianfang Zeng, Chao Xu, Jun Chen, Yong Liu, Yunliang Jiang
2020 J jnl
Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks.
CoRR
Jun Chen, Yong Liu, Hao Zhang, Shengnan Hou, Jian Yang
2020 J jnl
Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks.
IEEE J. Sel. Top. Signal Process.
Jun Chen, Yong Liu, Hao Zhang, Shengnan Hou, Jian Yang
2020 Misc conf
Tracking an Object over 200 FPS with the Fusion of Prior Probability and Kalman Filter.
ICMLC
Jun Chen, Jin-Hui Zhao, Wei Zhang, Yong Liu