Chen, Xinghao

34 publications

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

ICLR 2025 DECO: Unleashing the Potential of ConvNets for Query-Based Detection and Segmentation Xinghao Chen, Siwei Li, Yijing Yang, Yunhe Wang

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

ICML 2025 SlimLLM: Accurate Structured Pruning for Large Language Models Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang

ICML 2025 TimePro: Efficient Multivariate Long-Term Time Series Forecasting with Variable- and Time-Aware Hyper-State Xiaowen Ma, Zhen-Liang Ni, Shuai Xiao, Xinghao Chen

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

ICCV 2025 TinyViM: Frequency Decoupling for Tiny Hybrid Vision Mamba Xiaowen Ma, Zhenliang Ni, Xinghao Chen

NeurIPS 2025 ViSpec: Accelerating Vision-Language Models with Vision-Aware Speculative Decoding Jialiang Kang, Han Shu, Wenshuo Li, Yingjie Zhai, Xinghao Chen

ECCV 2024 Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation Zhenliang Ni, Xinghao Chen, Yingjie Zhai, Yehui Tang, Yunhe Wang

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

ICML 2024 GeminiFusion: Efficient Pixel-Wise Multimodal Fusion for Vision Transformer Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen

ICML 2024 SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-Parameterized Batch Normalization Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang

NeurIPS 2024 SSA-Seg: Semantic and Spatial Adaptive Pixel-Level Classifier for Semantic Segmentation Xiaowen Ma, Zhenliang Ni, Xinghao Chen

ICCV 2023 Less Is More: Focus Attention for Efficient DETR Dehua Zheng, Wenhui Dong, Hailin Hu, Xinghao Chen, Yunhe Wang

ECCV 2022 AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets Zhijun Tu, Xinghao Chen, Pengju Ren, Yunhe Wang

CVPR 2022 AutoLoss-GMS: Searching Generalized Margin-Based SoftMax Loss Function for Person Re-Identification Hongyang Gu, Jianmin Li, Guangyuan Fu, Chifong Wong, Xinghao Chen, Jun Zhu

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

CVPR 2022 CMT: Convolutional Neural Networks Meet Vision Transformers Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Xinghao Chen, Yunhe Wang, Chang Xu

CVPR 2022 Hire-MLP: Vision MLP via Hierarchical Rearrangement Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang

CVPR 2022 Multimodal Token Fusion for Vision Transformers Yikai Wang, Xinghao Chen, Lele Cao, Wenbing Huang, Fuchun Sun, Yunhe Wang

NeurIPS 2022 Random Normalization Aggregation for Adversarial Defense Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu

CVPRW 2022 Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks Wenshuo Li, Xinghao Chen, Jinyu Bai, Xuefei Ning, Yunhe Wang

ICML 2022 Spatial-Channel Token Distillation for Vision MLPs Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang, Chang Xu

NeurIPS 2021 An Empirical Study of Adder Neural Networks for Object Detection Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang

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

CVPR 2021 Distilling Object Detectors via Decoupled Features Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu

NeurIPS 2021 Handling Long-Tailed Feature Distribution in AdderNets Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu

CVPR 2021 HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens Zhaohui Yang, Yunhe Wang, Xinghao Chen, Jianyuan Guo, Wei Zhang, Chao Xu, Chunjing Xu, Dacheng Tao, Chang Xu

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

NeurIPS 2021 Towards Stable and Robust AdderNets Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu

ICML 2021 Winograd Algorithm for AdderNet Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang

NeurIPS 2020 Kernel Based Progressive Distillation for Adder Neural Networks Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang

ECCV 2020 Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu

ECCVW 2018 Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture Recognition Jingxuan Hou, Guijin Wang, Xinghao Chen, Jing-Hao Xue, Rui Zhu, Huazhong Yang