Static hand gesture recognition based on finger root-center-angle and length weighted Mahalanobis distance. - Xinghao Chen 001; Chenbo Shi; Bo Liu (Real-Time Image and Video Processing, 2016)

Accurate fingertip detection from binocular mask images. - Xinghao Chen 001; Guijin Wang; Hengkai Guo (VCIP, 2016)

Two-stream convolutional neural network for accurate RGB-D fingertip detection using depth and edge information. - Hengkai Guo; Guijin Wang; Xinghao Chen 001 (CoRR, 2016)

Motion feature augmented recurrent neural network for skeleton-based dynamic hand gesture recognition. - Xinghao Chen 001; Hengkai Guo; Guijin Wang; Li Zhang 023 (ICIP, 2017)

Region ensemble network: Improving convolutional network for hand pose estimation. - Hengkai Guo; Guijin Wang; Xinghao Chen 001; Cairong Zhang; Fei Qiao; Huazhong Yang (ICIP, 2017)

Two-stream binocular network: Accurate near field finger detection based on binocular images. - Yi Wei; Guijin Wang; Cairong Zhang; Hengkai Guo; Xinghao Chen 001; Huazhong Yang (VCIP, 2017)

Towards Good Practices for Deep 3D Hand Pose Estimation. - Hengkai Guo; Guijin Wang; Xinghao Chen 001; Cairong Zhang (CoRR, 2017)

3D Hand Pose Estimation: From Current Achievements to Future Goals. - Shanxin Yuan; Guillermo Garcia-Hernando; Björn Stenger; Gyeongsik Moon; Ju Yong Chang; Kyoung Mu Lee; Pavlo Molchanov 001; Jan Kautz; Sina Honari; Liuhao Ge; Junsong Yuan 001; Xinghao Chen 001; et al. (CoRR, 2017)

Bi-stream Region Ensemble Network: Promoting Accuracy in Fingertip Localization from Stereo Images. - Cairong Zhang; Guijin Wang; Xinghao Chen 001; Huazhong Yang (BMVC, 2018)

Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals. - Shanxin Yuan; Guillermo Garcia-Hernando; Björn Stenger; Gyeongsik Moon; Ju Yong Chang; Kyoung Mu Lee; Pavlo Molchanov 001; Jan Kautz; Sina Honari; Liuhao Ge; Junsong Yuan 001; Xinghao Chen 001; et al. (CVPR, 2018)

Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture Recognition. - Jingxuan Hou; Guijin Wang; Xinghao Chen 001; Jing-Hao Xue; Rui Zhu 006; Huazhong Yang (ECCV Workshops (6), 2018)

Interactive Hand Pose Estimation: Boosting accuracy in localizing extended finger joints. - Cairong Zhang; Guijin Wang; Hengkai Guo; Xinghao Chen 001; Fei Qiao; Huazhong Yang (Visual Information Processing and Communication, 2018)

SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds. - Xinghao Chen 001; Guijin Wang; Cairong Zhang; Tae-Kyun Kim 001; Xiangyang Ji (IEEE Access, 2018)

Region ensemble network: Towards good practices for deep 3D hand pose estimation. - Guijin Wang; Xinghao Chen 001; Hengkai Guo; Cairong Zhang (J. Vis. Commun. Image Represent., 2018)

Blurring-Effect-Free CNN for Optimization of Structural Edges in Focus Stacking. - Wentao Li; Guijin Wang; Xinghao Chen 001; Xuanwu Yin; Xiaowei Hu 004 (ICIP, 2019)

Blurring-Effect-Free CNN Network of Structural Edge for Focus Stacking. - Guijin Wang; Wentao Li; Xinghao Chen 001; Xuanwu Yin; Xiaowei Hu 004; Chenbo Shi; Long Meng (IEEE Access, 2019)

MFA-Net: Motion Feature Augmented Network for Dynamic Hand Gesture Recognition from Skeletal Data. - Xinghao Chen 001; Guijin Wang; Hengkai Guo; Cairong Zhang; Hang Wang; Li Zhang 023 (Sensors, 2019)

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. - Jianyuan Guo; Kai Han 002; Yunhe Wang 001; Chao Zhang 001; Zhaohui Yang 003; Han Wu 009; Xinghao Chen 001; Chang Xu 002 (CVPR, 2020)

CARS: Continuous Evolution for Efficient Neural Architecture Search. - Zhaohui Yang 003; Yunhe Wang 001; Xinghao Chen 001; Boxin Shi; Chao Xu 006; Chunjing Xu; Qi Tian 001; Chang Xu 002 (CVPR, 2020)

Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer. - Xinghao Chen 001; Yiman Zhang; Yunhe Wang 001; Han Shu; Chunjing Xu; Chang Xu 002 (ECCV (6), 2020)

Weakly Supervised Segmentation Guided Hand Pose Estimation During Interaction with Unknown Objects. - Cairong Zhang; Guijin Wang; Xinghao Chen 001; Pengwei Xie; Toshihiko Yamasaki (ICASSP, 2020)

Kernel Based Progressive Distillation for Adder Neural Networks. - Yixing Xu; Chang Xu 002; Xinghao Chen 001; Wei Zhang 196; Chunjing Xu; Yunhe Wang 001 (NeurIPS, 2020)

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. - Zhaohui Yang 003; Yunhe Wang 001; Dacheng Tao; Xinghao Chen 001; Jianyuan Guo; Chunjing Xu; Chao Xu 006; Chang Xu 002 (CoRR, 2020)

Multi-Task Pruning for Semantic Segmentation Networks. - Xinghao Chen 001; Yunhe Wang 001; Yiman Zhang; Peng Du; Chunjing Xu; Chang Xu 002 (CoRR, 2020)

VEGA: Towards an End-to-End Configurable AutoML Pipeline. - Bochao Wang; Hang Xu 004; Jiajin Zhang; Chen Chen 077; Yixing Xu; Xiaozhi Fang; Ning Kang 001; Lanqing Hong; Chenhan Jiang; Xinyue Cai; Jiawei Li; Fengwei Zhou; et al. (CoRR, 2020)

A Survey on Visual Transformer. - Kai Han 002; Yunhe Wang 001; Hanting Chen; Xinghao Chen 001; Jianyuan Guo; Zhenhua Liu 003; Yehui Tang; An Xiao; Chunjing Xu; Yixing Xu; Zhaohui Yang 003; Yiman Zhang; et al. (CoRR, 2020)

Pose guided structured region ensemble network for cascaded hand pose estimation. - Xinghao Chen 001; Guijin Wang; Hengkai Guo; Cairong Zhang (Neurocomputing, 2020)

Bi-Stream Pose-Guided Region Ensemble Network for Fingertip Localization From Stereo Images. - Guijin Wang; Cairong Zhang; Xinghao Chen 001; Xiangyang Ji; Jing-Hao Xue; Hang Wang (IEEE Trans. Neural Networks Learn. Syst., 2020)

Distilling Object Detectors via Decoupled Features. - Jianyuan Guo; Kai Han 002; Yunhe Wang 001; Han Wu 009; Xinghao Chen 001; Chunjing Xu; Chang Xu 002 (CVPR, 2021)

Positive-Unlabeled Data Purification in the Wild for Object Detection. - Jianyuan Guo; Kai Han 002; Han Wu 009; Chao Zhang 001; Xinghao Chen 001; Chunjing Xu; Chang Xu 002; Yunhe Wang 001 (CVPR, 2021)

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. - Zhaohui Yang 003; Yunhe Wang 001; Xinghao Chen 001; Jianyuan Guo; Wei Zhang 196; Chao Xu 006; Chunjing Xu; Dacheng Tao; Chang Xu 002 (CVPR, 2021)

Data-Free Knowledge Distillation for Image Super-Resolution. - Yiman Zhang; Hanting Chen; Xinghao Chen 001; Yiping Deng; Chunjing Xu; Yunhe Wang 001 (CVPR, 2021)

Winograd Algorithm for AdderNet. - Wenshuo Li; Hanting Chen; Mingqiang Huang; Xinghao Chen 001; Chunjing Xu; Yunhe Wang 001 (ICML, 2021)

An Empirical Study of Adder Neural Networks for Object Detection. - Xinghao Chen 001; Chang Xu 002; Minjing Dong; Chunjing Xu; Yunhe Wang 001 (NeurIPS, 2021)

Towards Stable and Robust AdderNets. - Minjing Dong; Yunhe Wang 001; Xinghao Chen 001; Chang Xu 002 (NeurIPS, 2021)

Handling Long-tailed Feature Distribution in AdderNets. - Minjing Dong; Yunhe Wang 001; Xinghao Chen 001; Chang Xu 002 (NeurIPS, 2021)

Multimodal Token Fusion for Vision Transformers. - Yikai Wang 001; Xinghao Chen 001; Lele Cao; Wenbing Huang 001; Fuchun Sun 001; Yunhe Wang 001 (CVPR, 2022)

AutoLoss-GMS: Searching Generalized Margin-based Softmax Loss Function for Person Re-identification. - Hongyang Gu; Jianmin Li 001; Guangyuan Fu; Chifong Wong; Xinghao Chen 001; Jun Zhu 001 (CVPR, 2022)

CMT: Convolutional Neural Networks Meet Vision Transformers. - Jianyuan Guo; Kai Han 002; Han Wu 009; Yehui Tang; Xinghao Chen 001; Yunhe Wang 001; Chang Xu 002 (CVPR, 2022)

Hire-MLP: Vision MLP via Hierarchical Rearrangement. - Jianyuan Guo; Yehui Tang; Kai Han 002; Xinghao Chen 001; Han Wu 009; Chao Xu 006; Chang Xu 002; Yunhe Wang 001 (CVPR, 2022)

Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks. - Wenshuo Li; Xinghao Chen 001; Jinyu Bai; Xuefei Ning; Yunhe Wang 001 (CVPR Workshops, 2022)

AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets. - Zhijun Tu; Xinghao Chen 001; Pengju Ren; Yunhe Wang 001 (ECCV (11), 2022)

MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks. - Xinghao Chen 001; Yiman Zhang; Yunhe Wang 001 (ICME, 2022)

MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance Segmentation. - Min Zhong; Xinghao Chen 001; Xiaokang Chen; Gang Zeng; Yunhe Wang 001 (ICME, 2022)

Spatial-Channel Token Distillation for Vision MLPs. - Yanxi Li 001; Xinghao Chen 001; Minjing Dong; Yehui Tang; Yunhe Wang 001; Chang Xu 002 (ICML, 2022)

Random Normalization Aggregation for Adversarial Defense. - Minjing Dong; Xinghao Chen 001; Yunhe Wang 001; Chang Xu 002 (NeurIPS, 2022)

BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons. - Yixing Xu; Xinghao Chen 001; Yunhe Wang 001 (NeurIPS, 2022)

Less is More: Focus Attention for Efficient DETR. - Dehua Zheng; Wenhui Dong; Hailin Hu 002; Xinghao Chen 001; Yunhe Wang 001 (ICCV, 2023)

PPT: Token Pruning and Pooling for Efficient Vision Transformers. - Xin-Jian Wu; Fanhu Zeng; Xiudong Wang; Yunhe Wang 001; Xinghao Chen 001 (CoRR, 2023)

DECO: Query-Based End-to-End Object Detection with ConvNets. - Xinghao Chen 001; Siwei Li; Yijing Yang; Yunhe Wang 001 (CoRR, 2023)

A Survey on Vision Transformer. - Kai Han 002; Yunhe Wang 001; Hanting Chen; Xinghao Chen 001; Jianyuan Guo; Zhenhua Liu 003; Yehui Tang; An Xiao; Chunjing Xu; Yixing Xu; Zhaohui Yang 003; Yiman Zhang; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Improving Lightweight AdderNet via Distillation From ℓ2 to ℓ1-norm. - Minjing Dong; Xinghao Chen 001; Yunhe Wang 001; Chang Xu 002 (IEEE Trans. Image Process., 2023)

Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation. - Zhenliang Ni; Xinghao Chen 001; Yingjie Zhai; Yehui Tang; Yunhe Wang 001 (ECCV (52), 2024)

SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization. - Jialong Guo; Xinghao Chen 001; Yehui Tang; Yunhe Wang 001 (ICML, 2024)

GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer. - Ding Jia; Jianyuan Guo; Kai Han 002; Han Wu 009; Chao Zhang 001; Chang Xu 002; Xinghao Chen 001 (ICML, 2024)

ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking. - Wenshuo Li; Xinghao Chen 001; Han Shu; Yehui Tang; Yunhe Wang 001 (ICML, 2024)

SSA-Seg: Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation. - Xiaowen Ma; Zhenliang Ni; Xinghao Chen 001 (NeurIPS, 2024)

Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation. - Xiaowen Ma; Zhenliang Ni; Xinghao Chen 001 (CoRR, 2024)

No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding. - Yingjie Zhai; Wenshuo Li; Yehui Tang; Xinghao Chen 001; Yunhe Wang 001 (CoRR, 2024)

Full-Stage Pseudo Label Quality Enhancement for Weakly-supervised Temporal Action Localization. - Qianhan Feng; Wenshuo Li; Tong Lin 002; Xinghao Chen 001 (CoRR, 2024)

TinyViM: Frequency Decoupling for Tiny Hybrid Vision Mamba. - Xiaowen Ma; Zhenliang Ni; Xinghao Chen 001 (CoRR, 2024)

Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Model. - Qianhan Feng; Wenshuo Li; Tong Lin 002; Xinghao Chen 001 (CoRR, 2024)

TinySAM: Pushing the Envelope for Efficient Segment Anything Model. - Han Shu; Wenshuo Li; Yehui Tang; Yiman Zhang; Yihao Chen; Houqiang Li; Yunhe Wang 001; Xinghao Chen 001 (AAAI, 2025)

Single Domain Generalization for Few-Shot Counting via Universal Representation Matching. - Xianing Chen; Si Huo; Borui Jiang; Hailin Hu 002; Xinghao Chen 001 (CVPR, 2025)

Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Large Model Enhancement. - Qianhan Feng; Wenshuo Li; Tong Lin 002; Xinghao Chen 001 (CVPR, 2025)

DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentation. - Xinghao Chen 001; Siwei Li; Yijing Yang; Yunhe Wang 001 (ICLR, 2025)

GenVidBench: A Challenging Benchmark for Detecting AI-Generated Video. - Zhenliang Ni; Qiangyu Yan; Mouxiao Huang; Tianning Yuan; Yehui Tang; Hailin Hu 002; Xinghao Chen 001; Yunhe Wang 001 (CoRR, 2025)

Pangu Light: Weight Re-Initialization for Pruning and Accelerating LLMs. - Hanting Chen; Jiarui Qin; Jialong Guo; Tao Yuan; Yichun Yin; Huiling Zhen; Yasheng Wang; Jinpeng Li 004; Xiaojun Meng; Meng Zhang; Rongju Ruan; Zheyuan Bai; et al. (CoRR, 2025)

TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state. - Xiaowen Ma; Zhenliang Ni; Shuai Xiao; Xinghao Chen 001 (CoRR, 2025)

Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity. - Yehui Tang; Xiaosong Li; Fangcheng Liu; Wei Guo 006; Hang Zhou; Yaoyuan Wang; Kai Han 002; Xianzhi Yu; Jinpeng Li 004; Hui Zang; Fei Mi; Xiaojun Meng; et al. (CoRR, 2025)

Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition. - Hanting Chen; Yasheng Wang; Kai Han 002; Dong Li 016; Lin Li; Zhenni Bi; Jinpeng Li 004; Haoyu Wang 003; Fei Mi; Mingjian Zhu; Bin Wang 027; Kaikai Song; et al. (CoRR, 2025)

SlimLLM: Accurate Structured Pruning for Large Language Models. - Jialong Guo; Xinghao Chen 001; Yehui Tang; Yunhe Wang 001 (CoRR, 2025)

EAQuant: Enhancing Post-Training Quantization for MoE Models via Expert-Aware Optimization. - Zhongqian Fu; Ning Ding; Kai Han 002; Xianzhi Yu; Xiaosong Li; Xinghao Chen 001; Yehui Tang; Yunhe Wang 001 (CoRR, 2025)

RealSR-R1: Reinforcement Learning for Real-World Image Super-Resolution with Vision-Language Chain-of-Thought. - Junbo Qiao; Miaomiao Cai; Wei Li 002; Yutong Liu; Xudong Huang; Gaoqi He; Jiao Xie; Jie Hu 021; Xinghao Chen 001; Shaohui Lin (CoRR, 2025)

OmniEval: A Benchmark for Evaluating Omni-modal Models with Visual, Auditory, and Textual Inputs. - Yiman Zhang; Ziheng Luo; Qiangyu Yan; Wei He 001; Borui Jiang; Xinghao Chen 001; Kai Han 002 (CoRR, 2025)