Tracking an Object over 200 FPS with the Fusion of Prior Probability and Kalman Filter. - Jun Chen 023; Jin-Hui Zhao; Wei Zhang; Yong Liu 007 (ICMLC, 2020)

APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment. - Jiangning Zhang; Xianfang Zeng; Chao Xu 023; Jun Chen 023; Yong Liu 007; Yunliang Jiang (CoRR, 2020)

Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks. - Jun Chen 023; Yong Liu 007; Hao Zhang; Shengnan Hou; Jian Yang (IEEE J. Sel. Top. Signal Process., 2020)

Thoughts on the Consistency between Ricci Flow and Neural Network Behavior. - Jun Chen 023; Tianxin Huang; Wenzhou Chen; Yong Liu 007 (CoRR, 2021)

Dynamically Stable Poincaré Embeddings for Neural Manifolds. - Jun Chen 023; Yuang Liu; Xiangrui Zhao; Yong Liu 007 (CoRR, 2021)

Pruning by Training: A Novel Deep Neural Network Compression Framework for Image Processing. - Guanzhong Tian; Jun Chen 023; Xianfang Zeng; Yong Liu 007 (IEEE Signal Process. Lett., 2021)

A Learning Framework for n-Bit Quantized Neural Networks Toward FPGAs. - Jun Chen 023; Liang Liu 007; Yong Liu 007; Xianfang Zeng (IEEE Trans. Neural Networks Learn. Syst., 2021)

Learning to Train a Point Cloud Reconstruction Network Without Matching. - Tianxin Huang; Xuemeng Yang; Jiangning Zhang; Jinhao Cui; Hao Zou; Jun Chen 023; Xiangrui Zhao; Yong Liu 007 (ECCV (1), 2022)

Resolution-Free Point Cloud Sampling Network with Data Distillation. - Tianxin Huang; Jiangning Zhang; Jun Chen 023; Yuang Liu; Yong Liu 007 (ECCV (2), 2022)

SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud. - Xiangrui Zhao; Sheng Yang; Tianxin Huang; Jun Chen 023; Teng Ma; Mingyang Li; Yong Liu 007 (ECCV (9), 2022)

Towards efficient filter pruning via topology. - Xiaozhou Xu; Jun Chen 023; Hongye Su; Lei Xie 007 (J. Real Time Image Process., 2022)

Fast Point Cloud Sampling Network. - Tianxin Huang; Jun Chen 023; Jiangning Zhang; Yong Liu 007; Jie Liang (Pattern Recognit. Lett., 2022)

3QNet: 3D Point Cloud Geometry Quantization Compression Network. - Tianxin Huang; Jiangning Zhang; Jun Chen 023; Zhonggan Ding; Ying Tai; Zhenyu Zhang 005; Chengjie Wang; Yong Liu 007 (ACM Trans. Graph., 2022)

Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning. - Shipeng Bai; Jun Chen 023; Xintian Shen; Yixuan Qian; Yong Liu 007 (ICCV, 2023)

Learning Global-aware Kernel for Image Harmonization. - Xintian Shen; Jiangning Zhang; Jun Chen 023; Shipeng Bai; Yue Han; Yabiao Wang; Chengjie Wang; Yong Liu 007 (ICCV, 2023)

SUBP: Soft Uniform Block Pruning for 1×N Sparse CNNs Multithreading Acceleration. - Jingyang Xiang; Siqi Li; Jun Chen 023; Guang Dai; Shipeng Bai; Yukai Ma; Yong Liu 007 (NeurIPS, 2023)

Learning Discretized Neural Networks under Ricci Flow. - Jun Chen 023; Hanwen Chen; Mengmeng Wang 005; Yong Liu 007 (CoRR, 2023)

SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration. - Jingyang Xiang; Siqi Li; Jun Chen 023; Shipeng Bai; Yukai Ma; Guang Dai; Yong Liu 007 (CoRR, 2023)

CR-SFP: Learning Consistent Representation for Soft Filter Pruning. - Jingyang Xiang; Zhuangzhi Chen; Jianbiao Mei; Siqi Li; Jun Chen 023; Yong Liu 007 (CoRR, 2023)

Learning SpatioTemporal and Motion Features in a Unified 2D Network for Action Recognition. - Mengmeng Wang 005; Jiazheng Xing; Jing Su 005; Jun Chen 023; Yong Liu 007 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Single-shot pruning and quantization for hardware-friendly neural network acceleration. - Bofeng Jiang; Jun Chen 023; Yong Liu 007 (Eng. Appl. Artif. Intell., 2023)

Data-free quantization via mixed-precision compensation without fine-tuning. - Jun Chen 023; Shipeng Bai; Tianxin Huang; Mengmeng Wang 005; Guanzhong Tian; Yong Liu 007 (Pattern Recognit., 2023)

Pse: mixed quantization framework of neural networks for efficient deployment. - Yingqing Yang; Guanzhong Tian; Mingyuan Liu; Yihao Chen; Jun Chen 023; Yong Liu 007; Yu Pan 001; Longhua Ma (J. Real Time Image Process., 2023)

Multi-Dimension Compression of Feed-Forward Network in Vision Transformers. - Shipeng Bai; Jun Chen 023; Yu Yang; Yong Liu 007 (Pattern Recognit. Lett., 2023)

A Multimodal, Multi-Task Adapting Framework for Video Action Recognition. - Mengmeng Wang 005; Jiazheng Xing; Boyuan Jiang; Jun Chen 023; Jianbiao Mei; Xingxing Zuo 001; Guang Dai; Jingdong Wang 001; Yong Liu 007 (AAAI, 2024)

Timestep-Aware Correction for Quantized Diffusion Models. - Yuzhe Yao; Feng Tian 002; Jun Chen 023; Haonan Lin; Guang Dai; Yong Liu 007; Jingdong Wang 001 (ECCV (66), 2024)

Structured Optimal Brain Pruning for Large Language Models. - Jiateng Wei; Quan Lu; Ning Jiang; Siqi Li; Jingyang Xiang; Jun Chen 023; Yong Liu 007 (EMNLP, 2024)

Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold. - Jun Chen 023; Haishan Ye; Mengmeng Wang 005; Tianxin Huang; Guang Dai; Ivor W. Tsang; Yong Liu 007 (ICLR, 2024)

M2-CLIP: A Multimodal, Multi-task Adapting Framework for Video Action Recognition. - Mengmeng Wang 005; Jiazheng Xing; Boyuan Jiang; Jun Chen 023; Jianbiao Mei; Xingxing Zuo 001; Guang Dai; Jingdong Wang 001; Yong Liu 007 (CoRR, 2024)

AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction. - Siqi Li; Jun Chen 023; Jingyang Xiang; Chengrui Zhu; Yong Liu 007 (CoRR, 2024)

Towards efficient filter pruning via adaptive automatic structure search. - Xiaozhou Xu; Jun Chen 023; Zhishan Li; Hongye Su; Lei Xie 007 (Eng. Appl. Artif. Intell., 2024)

Semi-supervised noise-resilient anomaly detection with feature autoencoder. - Tianyi Zhu; Lina Liu 010; Yibo Sun; Zhi Lu; Yuanlong Zhang; Chao Xu 023; Jun Chen 023 (Knowl. Based Syst., 2024)

Learnable Chamfer Distance for point cloud reconstruction. - Tianxin Huang; Qingyao Liu; Xiangrui Zhao; Jun Chen 023; Yong Liu 007 (Pattern Recognit. Lett., 2024)

DCCD: Reducing Neural Network Redundancy via Distillation. - Yuang Liu; Jun Chen 023; Yong Liu 007 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Learning Multi-Agent Cooperation via Considering Actions of Teammates. - Shanqi Liu; Weiwei Liu; Wenzhou Chen; Guanzhong Tian; Jun Chen 023; Yao Tong; Junjie Cao; Yong Liu 007 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Manifold Constraint Reduces Exposure Bias in Accelerated Diffusion Sampling. - Yuzhe Yao; Jun Chen 023; Zeyi Huang; Haonan Lin; Mengmeng Wang 005; Guang Dai; Jingdong Wang 001 (ICLR, 2025)

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking. - Jun Chen 023; Lina Liu 010; Tianyi Zhu; Yong Liu 007; Guang Dai; Yunliang Jiang; Ivor W. Tsang (IEEE Trans. Signal Process., 2025)

MCMC: Multi-Constrained Model Compression via One-Stage Envelope Reinforcement Learning. - Siqi Li; Jun Chen 023; Shanqi Liu; Chengrui Zhu; Guanzhong Tian; Yong Liu 007 (IEEE Trans. Neural Networks Learn. Syst., 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 005; Yong Liu 007; Jiangning Zhang; Jun Chen 023 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Hyperbolic Binary Neural Network. - Jun Chen 023; Jingyang Xiang; Tianxin Huang; Xiangrui Zhao; Yong Liu 007 (IEEE Trans. Neural Networks Learn. Syst., 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 023; Yong Liu 007 (IEEE Trans. Circuits Syst. II Express Briefs, 2025)