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ORCIDJun Chen 0023
Person information
- affiliation: Zhejiang University, Institute of Cyber-Systems and Control, China
- affiliation (PhD 2007): Zhejiang University, Laboratory of Advanced Perception on Robotics and Intelligent Learning, College of Control Science and Engineering, Hangzhou, China
Other persons with the same name
- Jun Chen — disambiguation page
- Jun Chen 0001
![[0000-0003-1376-0167]](/https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1376-0167")
— Wuhan University, National Engineering Research Center for Multimedia Software, China - Jun Chen 0002 — Oakland University, Rochester, MI, USA (and 2 more)
- Jun Chen 0003 — Peking University, Beijing, China
- Jun Chen 0004 — Tsinghua University, School of Software, Beijing, China
- Jun Chen 0005 — McMaster University, Department of Electrical and Computer Engineering, Hamilton, ON, Canada (and 4 more)
- Jun Chen 0006 — Ningbo University of Technology, Faculty of Science, China
- Jun Chen 0007 — National University of Defense Technology, College of Electronic Science and Engineering, Changsha, China
- Jun Chen 0008 — University of California, Los Angeles, Department of Electrical Engineering, CA, USA (and 1 more)
- Jun Chen 0009 — Queen Mary University of London, School of Engineering and Materials Science, United Kingdom (and 2 more)
- Jun Chen 0010 — Northwest A&F University, College of Animal Science and Technology, Yangling, China
- Jun Chen 0011 — State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China (and 1 more)
- Jun Chen 0012 — Xiamen University, China (and 1 more)
- Jun Chen 0013 — Sun Yat-Sen University, School of Electronics and Information Technology, Guangzhou, China
- Jun Chen 0014 — University of Essex, Centre for Computational Finance and Economic Agents, Colchester, UK
- Jun Chen 0015 — Nanjing University of Information Science and Technology, School of Electronic and Information Engineering, China (and 1 more)
- Jun Chen 0016 — Nanjing University of Science and Technology, School of Automation, China (and 3 more)
- Jun Chen 0017 — KDDI Research Inc., Ultra-realistic Communication Group, Fujimino, Japan
- Jun Chen 0018 — University of Waterloo, Ontario, Canada
- Jun Chen 0019 — Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China (and 1 more)
- Jun Chen 0020 — Wuhan University, School of Information Management, China
- Jun Chen 0021 — King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
- Jun Cheng 0005 (aka: Jun Chen 0022) — Southeast University, Jiangning Development Zone, School of Transportation, Nanjing, China
- Jun Chen 0024 — Tsinghua University, Shenzhen International Graduate School, Shenzhen, China (and 1 more)
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2020 – today
- 2025
[j18]Siqi Li, Jun Chen, Shanqi Liu, Chengrui Zhu, Guanzhong Tian, Yong Liu:
MCMC: Multi-Constrained Model Compression via One-Stage Envelope Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 36(2): 3410-3422 (2025)- [j17]Guanzhong Tian, Yiran Sun, Yuang Liu, Xianfang Zeng, Mengmeng Wang, Yong Liu, Jiangning Zhang, Jun Chen:
Adding Before Pruning: Sparse Filter Fusion for Deep Convolutional Neural Networks via Auxiliary Attention. IEEE Trans. Neural Networks Learn. Syst. 36(3): 3930-3942 (2025) - [i18]Jun Chen, Jingyang Xiang, Tianxin Huang, Xiangrui Zhao, Yong Liu:
Hyperbolic Binary Neural Network. CoRR abs/2501.03471 (2025) - 2024
- [j16]Xiaozhou Xu, Jun Chen, Zhishan Li, Hongye Su, Lei Xie:
Towards efficient filter pruning via adaptive automatic structure search. Eng. Appl. Artif. Intell. 133: 108398 (2024) - [j15]Tianyi Zhu, Lina Liu, Yibo Sun, Zhi Lu, Yuanlong Zhang, Chao Xu, Jun Chen:
Semi-supervised noise-resilient anomaly detection with feature autoencoder. Knowl. Based Syst. 304: 112445 (2024) - [j14]Tianxin Huang, Qingyao Liu, Xiangrui Zhao, Jun Chen, Yong Liu:
Learnable Chamfer Distance for point cloud reconstruction. Pattern Recognit. Lett. 178: 43-48 (2024) - [j13]Yuang Liu, Jun Chen, Yong Liu:
DCCD: Reducing Neural Network Redundancy via Distillation. IEEE Trans. Neural Networks Learn. Syst. 35(7): 10006-10017 (2024) - [j12]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): 11553-11564 (2024) - [c11]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: 5517-5525 - [c10]Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang:
Timestep-Aware Correction for Quantized Diffusion Models. ECCV (66) 2024: 215-232 - [c9]Jiateng Wei, Quan Lu, Ning Jiang, Siqi Li, Jingyang Xiang, Jun Chen, Yong Liu:
Structured Optimal Brain Pruning for Large Language Models. EMNLP 2024: 13991-14007 - [c8]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 - [i17]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 abs/2401.11649 (2024) - [i16]Siqi Li, Jun Chen, Jingyang Xiang, Chengrui Zhu, Yong Liu:
AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction. CoRR abs/2403.08204 (2024) - [i15]Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang:
Timestep-Aware Correction for Quantized Diffusion Models. CoRR abs/2407.03917 (2024) - 2023
- [j11]Bofeng Jiang, Jun Chen, Yong Liu:
Single-shot pruning and quantization for hardware-friendly neural network acceleration. Eng. Appl. Artif. Intell. 126: 106816 (2023) - [j10]Yingqing Yang, Guanzhong Tian, Mingyuan Liu, Yihao Chen, Jun Chen, Yong Liu, Yu Pan, Longhua Ma:
Pse: mixed quantization framework of neural networks for efficient deployment. J. Real Time Image Process. 20(6): 113 (2023) - [j9]Mengmeng Wang, Jiazheng Xing, Jing Su, Jun Chen, Yong Liu:
Learning SpatioTemporal and Motion Features in a Unified 2D Network for Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3347-3362 (2023) - [j8]Jun Chen, Shipeng Bai, Tianxin Huang, Mengmeng Wang, Guanzhong Tian, Yong Liu:
Data-free quantization via mixed-precision compensation without fine-tuning. Pattern Recognit. 143: 109780 (2023) - [j7]Shipeng Bai, Jun Chen, Yu Yang, Yong Liu:
Multi-Dimension Compression of Feed-Forward Network in Vision Transformers. Pattern Recognit. Lett. 176: 56-61 (2023) - [c7]Shipeng Bai, Jun Chen, Xintian Shen, Yixuan Qian, Yong Liu:
Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning. ICCV 2023: 5853-5862 - [c6]Xintian Shen, Jiangning Zhang, Jun Chen, Shipeng Bai, Yue Han, Yabiao Wang, Chengjie Wang, Yong Liu:
Learning Global-aware Kernel for Image Harmonization. ICCV 2023: 7501-7510 - [c5]Jingyang Xiang, Siqi Li, Jun Chen, Guang Dai, Shipeng Bai, Yukai Ma, Yong Liu:
SUBP: Soft Uniform Block Pruning for 1×N Sparse CNNs Multithreading Acceleration. NeurIPS 2023 - [i14]Jun Chen, Hanwen Chen, Mengmeng Wang, Yong Liu:
Learning Discretized Neural Networks under Ricci Flow. CoRR abs/2302.03390 (2023) - [i13]Xintian Shen, Jiangning Zhang, Jun Chen, Shipeng Bai, Yue Han, Yabiao Wang, Chengjie Wang, Yong Liu:
Learning Global-aware Kernel for Image Harmonization. CoRR abs/2305.11676 (2023) - [i12]Jun Chen, Shipeng Bai, Tianxin Huang, Mengmeng Wang, Guanzhong Tian, Yong Liu:
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning. CoRR abs/2307.00498 (2023) - [i11]Shipeng Bai, Jun Chen, Xintian Shen, Yixuan Qian, Yong Liu:
Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning. CoRR abs/2308.07209 (2023) - [i10]Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu:
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold. CoRR abs/2308.10547 (2023) - [i9]Jingyang Xiang, Siqi Li, Jun Chen, Shipeng Bai, Yukai Ma, Guang Dai, Yong Liu:
SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration. CoRR abs/2310.06218 (2023) - [i8]Jingyang Xiang, Zhuangzhi Chen, Jianbiao Mei, Siqi Li, Jun Chen, Yong Liu:
CR-SFP: Learning Consistent Representation for Soft Filter Pruning. CoRR abs/2312.11555 (2023) - [i7]Tianxin Huang, Qingyao Liu, Xiangrui Zhao, Jun Chen, Yong Liu:
Learnable Chamfer Distance for Point Cloud Reconstruction. CoRR abs/2312.16582 (2023) - 2022
- [j6]Xiaozhou Xu, Jun Chen, Hongye Su, Lei Xie:
Towards efficient filter pruning via topology. J. Real Time Image Process. 19(3): 639-649 (2022) - [j5]Tianxin Huang, Jun Chen, Jiangning Zhang, Yong Liu, Jie Liang:
Fast Point Cloud Sampling Network. Pattern Recognit. Lett. 164: 216-223 (2022) - [j4]Tianxin Huang, Jiangning Zhang, Jun Chen, Zhonggan Ding, Ying Tai, Zhenyu Zhang, Chengjie Wang, Yong Liu:
3QNet: 3D Point Cloud Geometry Quantization Compression Network. ACM Trans. Graph. 41(6): 187:1-187:13 (2022) - [c4]Tianxin Huang, Jiangning Zhang, Jun Chen, Yuang Liu, Yong Liu:
Resolution-Free Point Cloud Sampling Network with Data Distillation. ECCV (2) 2022: 54-70 - [c3]Tianxin Huang, Xuemeng Yang, Jiangning Zhang, Jinhao Cui, Hao Zou, Jun Chen, Xiangrui Zhao, Yong Liu:
Learning to Train a Point Cloud Reconstruction Network Without Matching. ECCV (1) 2022: 179-194 - [c2]Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong Liu:
SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud. ECCV (9) 2022: 263-279 - [i6]Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong Liu:
SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud. CoRR abs/2208.01925 (2022) - 2021
- [j3]Guanzhong Tian, Jun Chen, Xianfang Zeng, Yong Liu:
Pruning by Training: A Novel Deep Neural Network Compression Framework for Image Processing. IEEE Signal Process. Lett. 28: 344-348 (2021) - [j2]Jun Chen, Liang Liu, Yong Liu, Xianfang Zeng:
A Learning Framework for n-Bit Quantized Neural Networks Toward FPGAs. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1067-1081 (2021) - [i5]Jun Chen, Tianxin Huang, Wenzhou Chen, Yong Liu:
Thoughts on the Consistency between Ricci Flow and Neural Network Behavior. CoRR abs/2111.08410 (2021) - [i4]Jun Chen, Yuang Liu, Xiangrui Zhao, Yong Liu:
Dynamically Stable Poincaré Embeddings for Neural Manifolds. CoRR abs/2112.11172 (2021) - 2020
- [j1]Jun Chen, Yong Liu, Hao Zhang, Shengnan Hou, Jian Yang:
Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks. IEEE J. Sel. Top. Signal Process. 14(4): 848-859 (2020) - [c1]Jun Chen, Jin-Hui Zhao, Wei Zhang, Yong Liu:
Tracking an Object over 200 FPS with the Fusion of Prior Probability and Kalman Filter. ICMLC 2020: 554-559 - [i3]Jun Chen, Yong Liu, Hao Zhang, Shengnan Hou, Jian Yang:
Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks. CoRR abs/2003.04296 (2020) - [i2]Jun Chen, Liang Liu, Yong Liu, Xianfang Zeng:
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs. CoRR abs/2004.02396 (2020) - [i1]Jiangning Zhang, Xianfang Zeng, Chao Xu, Jun Chen, Yong Liu, Yunliang Jiang:
APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment. CoRR abs/2010.13017 (2020)
Coauthor Index
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