Towards Convolutional Neural Networks Compression via Global Error Reconstruction. - Shaohui Lin; Rongrong Ji; Xiaowei Guo; Xuelong Li 001 (IJCAI, 2016)

Masked face detection via a modified LeNet. - Shaohui Lin; Ling Cai; Xianming Lin; Rongrong Ji (Neurocomputing, 2016)

ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel Redundancy. - Shaohui Lin; Rongrong Ji; Chao Chen 026; Feiyue Huang (AAAI, 2017)

Accelerating Convolutional Networks via Global & Dynamic Filter Pruning. - Shaohui Lin; Rongrong Ji; Yuchao Li; Yongjian Wu 001; Feiyue Huang; Baochang Zhang 001 (IJCAI, 2018)

Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. - Yuchao Li; Shaohui Lin; Baochang Zhang 001; Jianzhuang Liu; David S. Doermann; Yongjian Wu 001; Feiyue Huang; Rongrong Ji (CVPR, 2019)

Towards Optimal Structured CNN Pruning via Generative Adversarial Learning. - Shaohui Lin; Rongrong Ji; Chenqian Yan; Baochang Zhang 001; Liujuan Cao; Qixiang Ye; Feiyue Huang; David S. Doermann (CVPR, 2019)

Pruning Blocks for CNN Compression and Acceleration via Online Ensemble Distillation. - Zongyue Wang; Shaohui Lin; Jiao Xie; Yangbin Lin (IEEE Access, 2019)

Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning. - Shaohui Lin; Rongrong Ji; Yuchao Li; Cheng Deng; Xuelong Li 001 (CoRR, 2019)

Dynamic Neural Network Decoupling. - Yuchao Li; Rongrong Ji; Shaohui Lin; Baochang Zhang 001; Chenqian Yan; Yongjian Wu 001; Feiyue Huang; Ling Shao 001 (CoRR, 2019)

Training convolutional neural networks with cheap convolutions and online distillation. - Jiao Xie; Shaohui Lin; Yichen Zhang; Linkai Luo (CoRR, 2019)

Holistic CNN Compression via Low-Rank Decomposition with Knowledge Transfer. - Shaohui Lin; Rongrong Ji; Chao Chen 026; Dacheng Tao; Jiebo Luo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Interpretable Neural Network Decoupling. - Yuchao Li; Rongrong Ji; Shaohui Lin; Baochang Zhang 001; Chenqian Yan; Yongjian Wu 001; Feiyue Huang; Ling Shao 001 (ECCV (15), 2020)

PAMS: Quantized Super-Resolution via Parameterized Max Scale. - Huixia Li; Chenqian Yan; Shaohui Lin; Xiawu Zheng; Baochang Zhang 001; Fan Yang 016; Rongrong Ji (ECCV (25), 2020)

Neural Network Compression via Learnable Wavelet Transforms. - Moritz Wolter; Shaohui Lin; Angela Yao (ICANN (2), 2020)

Towards deep neural network compression via learnable wavelet transforms. - Moritz Wolter; Shaohui Lin; Angela Yao (CoRR, 2020)

PAMS: Quantized Super-Resolution via Parameterized Max Scale. - Huixia Li; Chenqian Yan; Shaohui Lin; Xiawu Zheng; Yuchao Li; Baochang Zhang 001; Fan Yang 016; Rongrong Ji (CoRR, 2020)

Toward Compact ConvNets via Structure-Sparsity Regularized Filter Pruning. - Shaohui Lin; Rongrong Ji; Yuchao Li; Cheng Deng; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Towards Compact CNNs via Collaborative Compression. - Yuchao Li; Shaohui Lin; Jianzhuang Liu; Qixiang Ye; Mengdi Wang; Fei Chao 001; Fan Yang 016; Jincheng Ma; Qi Tian 001; Rongrong Ji (CVPR, 2021)

Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification. - Xudong Tian; Zhizhong Zhang 001; Shaohui Lin; Yanyun Qu; Yuan Xie 006; Lizhuang Ma (CVPR, 2021)

Contrastive Learning for Compact Single Image Dehazing. - Haiyan Wu; Yanyun Qu; Shaohui Lin; Jian Zhou; Ruizhi Qiao; Zhizhong Zhang 001; Yuan Xie 006; Lizhuang Ma (CVPR, 2021)

Self-supervised Compressed Video Action Recognition via Temporal-Consistent Sampling. - Pan Chen; Shaohui Lin; Yongxiang Zhang; Jiachen Xu; Xin Tan 002; Lizhuang Ma (ICONIP (4), 2021)

Novelty Detection via Contrastive Learning with Negative Data Augmentation. - Chengwei Chen; Yuan Xie 006; Shaohui Lin; Ruizhi Qiao; Jian Zhou; Xin Tan 002; Yi Zhang; Lizhuang Ma (IJCAI, 2021)

Learn from Concepts: Towards the Purified Memory for Few-shot Learning. - Xuncheng Liu; Xudong Tian; Shaohui Lin; Yanyun Qu; Lizhuang Ma; Wang Yuan; Zhizhong Zhang 001; Yuan Xie 006 (IJCAI, 2021)

Towards Compact Single Image Super-Resolution via Contrastive Self-distillation. - Yanbo Wang 003; Shaohui Lin; Yanyun Qu; Haiyan Wu; Zhizhong Zhang 001; Yuan Xie 006; Angela Yao (IJCAI, 2021)

Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection. - Chengwei Chen; Yuan Xie 006; Shaohui Lin; Angela Yao; Guannan Jiang; Wei Zhang 217; Yanyun Qu; Ruizhi Qiao; Bo Ren 002; Lizhuang Ma (AAAI, 2022)

HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization. - Mengtian Li; Yuan Xie 006; Yunhang Shen; Bo Ke; Ruizhi Qiao; Bo Ren 002; Shaohui Lin; Lizhuang Ma (CVPR, 2022)

DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning. - Yuting Gao; Jia-Xin Zhuang; Shaohui Lin; Hao Cheng 012; Xing Sun 001; Ke Li 015; Chunhua Shen (ECCV (26), 2022)

Self-supervised Models are Good Teaching Assistants for Vision Transformers. - Haiyan Wu; Yuting Gao; Yinqi Zhang; Shaohui Lin; Yuan Xie 006; Xing Sun 001; Ke Li 015 (ICML, 2022)

DCS-RISR: Dynamic Channel Splitting for Efficient Real-world Image Super-Resolution. - Junbo Qiao; Shaohui Lin; Yunlun Zhang; Wei Li 002; Jie Hu 021; Gaoqi He; Changbo Wang; Lizhuang Ma (CoRR, 2022)

Explicit Invariant Feature Induced Cross-Domain Crowd Counting. - Yiqing Cai; Lianggangxu Chen; Haoyue Guan; Shaohui Lin; Changhong Lu; Changbo Wang; Gaoqi He (AAAI, 2023)

Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation. - Linrui Gong; Shaohui Lin; Baochang Zhang 001; Yunhang Shen; Ke Li 015; Ruizhi Qiao; Bo Ren 002; Muqing Li; Zhou Yu; Lizhuang Ma (AAAI, 2023)

An Online Control Approach of Collaborative Federated Learning with Constrained Resources. - Shaohui Lin; Xiaoxi Zhang 001; Yupeng Li 001; Carlee Joe-Wong; Jingpu Duan; Xu Chen 004 (APNet, 2023)

RAGT: Learning Robust Features for Occluded Human Pose and Shape Estimation with Attention-Guided Transformer. - Ziqing Li; Yang Li; Shaohui Lin (CAD/Graphics, 2023)

AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning. - Runqi Wang; Xiaoyue Duan; Guoliang Kang; Jianzhuang Liu; Shaohui Lin; Songcen Xu; Jinhu Lv; Baochang Zhang 001 (CVPR, 2023)

Latent Feature Regularization based Adversarial Network for Brain Tumor Anomaly Detection. - Nan Wang; Chengwei Chen; Lizhuang Ma; Shaohui Lin (ICME, 2023)

Prior Knowledge-driven Dynamic Scene Graph Generation with Causal Inference. - Jiale Lu; Lianggangxu Chen; Youqi Song; Shaohui Lin; Changbo Wang; Gaoqi He (ACM Multimedia, 2023)

Classifier Decoupled Training for Black-Box Unsupervised Domain Adaptation. - Xiangchuang Chen; Yunhang Shen; Xuan Luo; Yan Zhang 109; Ke Li 015; Shaohui Lin (PRCV (3), 2023)

MVP-SEG: Multi-view Prompt Learning for Open-Vocabulary Semantic Segmentation. - Jie Guo; Qimeng Wang; Yan Gao 017; Xiaolong Jiang; Shaohui Lin; Baochang Zhang 001 (PRCV (12), 2023)

Data-Free Low-Bit Quantization via Dynamic Multi-teacher Knowledge Distillation. - Chong Huang; Shaohui Lin; Yan Zhang 109; Ke Li 015; Baochang Zhang 001 (PRCV (8), 2023)

EdgeC3: Online Management for Edge-Cloud Collaborative Continuous Learning. - Shaohui Lin; Xiaoxi Zhang 001; Yupeng Li 001; Carlee Joe-Wong; Jingpu Duan; Xu Chen 004 (SECON, 2023)

Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler. - Shaohui Lin; Wenxuan Huang 001; Jiao Xie; Baochang Zhang 001; Yunhang Shen; Zhou Yu; Jungong Han; David S. Doermann (CoRR, 2023)

A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise. - Chaoyou Fu; Renrui Zhang; Zihan Wang; Yubo Huang; Zhengye Zhang; Longtian Qiu; Gaoxiang Ye; Yunhang Shen; Mengdan Zhang; Peixian Chen; Sirui Zhao; Shaohui Lin; et al. (CoRR, 2023)

Compressing convolutional neural networks with cheap convolutions and online distillation. - Jiao Xie; Shaohui Lin; Yichen Zhang; Linkai Luo (Displays, 2023)

MISSU: 3D Medical Image Segmentation via Self-Distilling TransUNet. - Nan Wang 027; Shaohui Lin; Xiaoxiao Li; Ke Li 015; Yunhang Shen; Yue Gao; Lizhuang Ma (IEEE Trans. Medical Imaging, 2023)

Hybrid knowledge distillation from intermediate layers for efficient Single Image Super-Resolution. - Jiao Xie; Linrui Gong; Shitong Shao; Shaohui Lin; Linkai Luo (Neurocomputing, 2023)

Kumaraswamy Wavelet for Heterophilic Scene Graph Generation. - Lianggangxu Chen; Youqi Song; Shaohui Lin; Changbo Wang; Gaoqi He (AAAI, 2024)

SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space. - Yunchen Li; Zhou Yu; Gaoqi He; Yunhang Shen; Ke Li 015; Xing Sun 001; Shaohui Lin (AAAI, 2024)

Weakly Supervised Open-Vocabulary Object Detection. - Jianghang Lin; Yunhang Shen; Bingquan Wang; Shaohui Lin; Ke Li 015; Liujuan Cao (AAAI, 2024)

AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries. - Runqi Wang; Huixin Sun; Linlin Yang; Shaohui Lin; Chuanjian Liu; Yan Gao 017; Yao Hu 002; Baochang Zhang 001 (AAAI, 2024)

CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning. - Lianggangxu Chen; Xuejiao Wang; Jiale Lu; Shaohui Lin; Changbo Wang; Gaoqi He (CVPR, 2024)

A General and Efficient Training for Transformer via Token Expansion. - Wenxuan Huang 001; Yunhang Shen; Jiao Xie; Baochang Zhang 001; Gaoqi He; Ke Li 015; Xing Sun 001; Shaohui Lin (CVPR, 2024)

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report. - Bin Ren; Yawei Li 001; Nancy Mehta; Radu Timofte; Hongyuan Yu; Cheng Wan; Yuxin Hong; Bingnan Han; Zhuoyuan Wu; Yajun Zou; Yuqing Liu; Jizhe Li; et al. (CVPR Workshops, 2024)

Aligning and Prompting Everything All at Once for Universal Visual Perception. - Yunhang Shen; Chaoyou Fu; Peixian Chen; Mengdan Zhang; Ke Li 015; Xing Sun 001; Yunsheng Wu; Shaohui Lin; Rongrong Ji (CVPR, 2024)

Rethinking Centered Kernel Alignment in Knowledge Distillation. - Zikai Zhou; Yunhang Shen; Shitong Shao; Linrui Gong; Shaohui Lin (IJCAI, 2024)

CLIP in Mirror: Disentangling text from visual images through reflection. - Tiancheng Wang; Yuguang Yang 007; Linlin Yang; Shaohui Lin; Juan Zhang; Guodong Guo; Baochang Zhang 001 (NeurIPS, 2024)

Rethinking Centered Kernel Alignment in Knowledge Distillation. - Zikai Zhou; Yunhang Shen; Shitong Shao; Huanran Chen; Linrui Gong; Shaohui Lin (CoRR, 2024)

LIPT: Latency-aware Image Processing Transformer. - Junbo Qiao; Wei Li 002; Haizhen Xie; Hanting Chen; Yunshuai Zhou; Zhijun Tu; Jie Hu 021; Shaohui Lin (CoRR, 2024)

Fusion-Mamba for Cross-modality Object Detection. - Wenhao Dong; Haodong Zhu; Shaohui Lin; Xiaoyan Luo; Yunhang Shen; Xuhui Liu; Juan Zhang; Guodong Guo; Baochang Zhang 001 (CoRR, 2024)

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report. - Bin Ren; Yawei Li 001; Nancy Mehta; Radu Timofte; Hongyuan Yu; Cheng Wan 006; Yuxin Hong; Bingnan Han; Zhuoyuan Wu; Yajun Zou; Yuqing Liu; Jizhe Li; et al. (CoRR, 2024)

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis. - Chaoyou Fu; Yuhan Dai; Yondong Luo; Lei Li; Shuhuai Ren; Renrui Zhang; Zihan Wang; Chenyu Zhou; Yunhang Shen; Mengdan Zhang; Peixian Chen; Yanwei Li; et al. (CoRR, 2024)

HUWSOD: Holistic Self-training for Unified Weakly Supervised Object Detection. - Liujuan Cao; Jianghang Lin; Zebo Hong; Yunhang Shen; Shaohui Lin; Chao Chen 026; Rongrong Ji (CoRR, 2024)

Hi-Mamba: Hierarchical Mamba for Efficient Image Super-Resolution. - Junbo Qiao; Jincheng Liao; Wei Li 002; Yulun Zhang 001; Yong Guo; Yi Wen; Zhangxizi Qiu; Jiao Xie; Jie Hu 021; Shaohui Lin (CoRR, 2024)

SegCFT: Context-aware Fourier Transform for efficient semantic segmentation. - Yinqi Zhang; Lingfu Jiang; Fuhai Chen; Jiao Xie; Baochang Zhang 001; Gaoqi He; Shaohui Lin (Neurocomputing, 2024)

Class-imbalanced semi-supervised learning for large-scale point cloud semantic segmentation via decoupling optimization. - Mengtian Li; Shaohui Lin; Zihan Wang; Yunhang Shen; Baochang Zhang 001; Lizhuang Ma (Pattern Recognit., 2024)

Dynamic image super-resolution via progressive contrastive self-distillation. - Zhizhong Zhang 001; Yuan Xie 006; Chong Zhang; Yanbo Wang 003; Yanyun Qu; Shaohui Lin; Lizhuang Ma; Qi Tian 001 (Pattern Recognit., 2024)

A closer look at branch classifiers of multi-exit architectures. - Shaohui Lin; Bo Ji 004; Rongrong Ji; Angela Yao (Comput. Vis. Image Underst., 2024)

Improving rare relation inferring for scene graph generation using bipartite graph network. - Jiale Lu; Lianggangxu Chen; Haoyue Guan; Shaohui Lin; Chunhua Gu; Changbo Wang; Gaoqi He (Comput. Vis. Image Underst., 2024)

Online Management for Edge-Cloud Collaborative Continuous Learning: A Two-Timescale Approach. - Shaohui Lin; Xiaoxi Zhang 001; Yupeng Li 001; Carlee Joe-Wong; Jingpu Duan; Dongxiao Yu; Yu Wu 010; Xu Chen 004 (IEEE Trans. Mob. Comput., 2024)

Probability-Density-aware Semi-supervised Learning. - Shuyang Liu; Ruiqiu Zheng; Yunhang Shen; Zhou Yu; Ke Li 015; Xing Sun 001; Shaohui Lin (AAAI, 2025)

Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration. - Yunshuai Zhou; Junbo Qiao; Jincheng Liao; Wei Li 002; Simiao Li; Jiao Xie; Yunhang Shen; Jie Hu 021; Shaohui Lin (AAAI, 2025)

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis. - Chaoyou Fu; Yuhan Dai; Yongdong Luo; Lei Li; Shuhuai Ren; Renrui Zhang; Zihan Wang; Chenyu Zhou; Yunhang Shen; Mengdan Zhang; Peixian Chen; Yanwei Li; et al. (CVPR, 2025)

SET: Spectral Enhancement for Tiny Object Detection. - Huixin Sun; Runqi Wang; Yanjing Li; Linlin Yang; Shaohui Lin; Xianbin Cao 001; Baochang Zhang 001 (CVPR, 2025)

Weakly Supervised Semantic Segmentation via Progressive Confidence Region Expansion. - Xiangfeng Xu; Pinyi Zhang; Wenxuan Huang 001; Yunhang Shen; Haosheng Chen; Jingzhong Lin; Wei Li 002; Gaoqi He; Jiao Xie; Shaohui Lin (CVPR, 2025)

Knowledge Transfer Across Modalities for Weakly Supervised Point Cloud Semantic Segmentation. - Zihan Wang; Yunhang Shen; Mengtian Li; Ke Li 015; Xing Sun 001; Shaohui Lin; Lizhuang Ma (ICASSP, 2025)

Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification. - Wenxuan Huang 001; Zijie Zhai; Yunhang Shen; Shaosheng Cao; Fei Zhao; Xiangfeng Xu; Zheyu Ye; Shaohui Lin (ICLR, 2025)

Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution. - Simiao Li; Yun Zhang; Wei Li 002; Hanting Chen; Wenjia Wang; Bingyi Jing; Shaohui Lin; Jie Hu 021 (ICLR, 2025)

AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution. - Yun Zhang; Wei Li 002; Simiao Li; Hanting Chen; Zhijun Tu; Bingyi Jing; Shaohui Lin; Jie Hu 021; Wenjia Wang (ICLR, 2025)

Complete Chess Games Enable LLM Become A Chess Master. - Yinqi Zhang; Xintian Han; Haolong Li; Kedi Chen; Shaohui Lin (NAACL (Short Papers), 2025)

DCS-RISR: Dynamic channel splitting for efficient real-world image super-resolution. - Junbo Qiao; Shaohui Lin; Yulun Zhang 001; Wei Li 002; Jie Hu 021; Gaoqi He; Changbo Wang; Lizhuang Ma (Neural Networks, 2025)

LIPT: Latency-Aware Image Processing Transformer. - Junbo Qiao; Wei Li; Haizhen Xie; Hanting Chen; Jie Hu 021; Shaohui Lin; Jungong Han (IEEE Trans. Image Process., 2025)

Autoregressive Image Generation Guided by Chains of Thought. - Miaomiao Cai; Guanjie Wang; Wei Li 002; Zhijun Tu; Hanting Chen; Shaohui Lin; Jie Hu 021 (CoRR, 2025)

Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models. - Wenxuan Huang 001; Bohan Jia; Zijie Zhai; Shaosheng Cao; Zheyu Ye; Fei Zhao; Zhe Xu; Yao Hu 002; Shaohui Lin (CoRR, 2025)

LLaVA-RadZ: Can Multimodal Large Language Models Effectively Tackle Zero-shot Radiology Recognition? - Bangyan Li; Wenxuan Huang 001; Yunhang Shen; Yeqiang Wang; Shaohui Lin; Jingzhong Lin; Ling You; Yinqi Zhang; Ke Li 015; Xing Sun 001; Yuling Sun (CoRR, 2025)

IDMR: Towards Instance-Driven Precise Visual Correspondence in Multimodal Retrieval. - Bangwei Liu; Yicheng Bao; Shaohui Lin; Xuhong Wang; Xin Tan 002; Yingchun Wang; Yuan Xie 006; Chaochao Lu (CoRR, 2025)

TimeSoccer: An End-to-End Multimodal Large Language Model for Soccer Commentary Generation. - Ling You; Wenxuan Huang 001; Xinni Xie; Xiangyi Wei; Bangyan Li; Shaohui Lin; Yang Li; Changbo Wang (CoRR, 2025)

CompBench: Benchmarking Complex Instruction-guided Image Editing. - Bohan Jia; Wenxuan Huang 001; Yuntian Tang; Junbo Qiao; Jincheng Liao; Shaosheng Cao; Fei Zhao; Zhaopeng Feng; Zhouhong Gu; Zhenfei Yin; Lei Bai 001; Wanli Ouyang; et al. (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)

WaveMamba: Wavelet-Driven Mamba Fusion for RGB-Infrared Object Detection. - Haodong Zhu; Wenhao Dong; Linlin Yang; Hong Li 016; Yuguang Yang 007; Yangyang Ren; Qingcheng Zhu; Zichao Feng; Changbai Li; Shaohui Lin; Runqi Wang; Xiaoyan Luo; et al. (CoRR, 2025)