Shaohui Lin

According to our database, Shaohui Lin authored at least 88 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

WaveMamba: Wavelet-Driven Mamba Fusion for RGB-Infrared Object Detection.

Haodong Zhu, Wenhao Dong, Linlin Yang, Hong Li, Yuguang Yang, Yangyang Ren, Qingcheng Zhu, Zichao Feng, Changbai Li, Shaohui Lin, Runqi Wang, Xiaoyan Luo, Baochang Zhang

CoRR, July, 2025

RealSR-R1: Reinforcement Learning for Real-World Image Super-Resolution with Vision-Language Chain-of-Thought.

Junbo Qiao, Miaomiao Cai, Wei Li, Yutong Liu, Xudong Huang, Gaoqi He, Jiao Xie, Jie Hu, Xinghao Chen, Shaohui Lin

CoRR, June, 2025

CompBench: Benchmarking Complex Instruction-guided Image Editing.

Bohan Jia, Wenxuan Huang, Yuntian Tang, Junbo Qiao, Jincheng Liao, Shaosheng Cao, Fei Zhao, Zhaopeng Feng, Zhouhong Gu, Zhenfei Yin, Lei Bai, Wanli Ouyang, Lin Chen, Fei Zhao, Zihan Wang, Yuan Xie, Shaohui Lin

CoRR, May, 2025

TimeSoccer: An End-to-End Multimodal Large Language Model for Soccer Commentary Generation.

Ling You, Wenxuan Huang, Xinni Xie, Xiangyi Wei, Bangyan Li, Shaohui Lin, Yang Li, Changbo Wang

CoRR, April, 2025

IDMR: Towards Instance-Driven Precise Visual Correspondence in Multimodal Retrieval.

Bangwei Liu, Yicheng Bao, Shaohui Lin, Xuhong Wang, Xin Tan, Yingchun Wang, Yuan Xie, Chaochao Lu

CoRR, April, 2025

LLaVA-RadZ: Can Multimodal Large Language Models Effectively Tackle Zero-shot Radiology Recognition?

Bangyan Li, Wenxuan Huang, Yunhang Shen, Yeqiang Wang, Shaohui Lin, Jingzhong Lin, Ling You, Yinqi Zhang, Ke Li, Xing Sun, Yuling Sun

CoRR, March, 2025

Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

Wenxuan Huang, Bohan Jia, Zijie Zhai, Shaosheng Cao, Zheyu Ye, Fei Zhao, Zhe Xu, Yao Hu, Shaohui Lin

CoRR, March, 2025

Autoregressive Image Generation Guided by Chains of Thought.

Miaomiao Cai, Guanjie Wang, Wei Li, Zhijun Tu, Hanting Chen, Shaohui Lin, Jie Hu

CoRR, February, 2025

LIPT: Latency-Aware Image Processing Transformer.

Junbo Qiao, Wei Li, Haizhen Xie, Hanting Chen, Jie Hu, Shaohui Lin, Jungong Han

IEEE Trans. Image Process., 2025

DCS-RISR: Dynamic channel splitting for efficient real-world image super-resolution.

Junbo Qiao, Shaohui Lin, Yulun Zhang, Wei Li, Jie Hu, Gaoqi He, Changbo Wang, Lizhuang Ma

Neural Networks, 2025

Complete Chess Games Enable LLM Become A Chess Master.

Yinqi Zhang, Xintian Han, Haolong Li, Kedi Chen, Shaohui Lin

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution.

Yun Zhang, Wei Li, Simiao Li, Hanting Chen, Zhijun Tu, Bingyi Jing, Shaohui Lin, Jie Hu, Wenjia Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution.

Simiao Li, Yun Zhang, Wei Li, Hanting Chen, Wenjia Wang, Bingyi Jing, Shaohui Lin, Jie Hu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification.

Wenxuan Huang, Zijie Zhai, Yunhang Shen, Shaosheng Cao, Fei Zhao, Xiangfeng Xu, Zheyu Ye, Shaohui Lin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Knowledge Transfer Across Modalities for Weakly Supervised Point Cloud Semantic Segmentation.

Zihan Wang, Yunhang Shen, Mengtian Li, Ke Li, Xing Sun, Shaohui Lin, Lizhuang Ma

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Weakly Supervised Semantic Segmentation via Progressive Confidence Region Expansion.

Xiangfeng Xu, Pinyi Zhang, Wenxuan Huang, Yunhang Shen, Haosheng Chen, Jingzhong Lin, Wei Li, Gaoqi He, Jiao Xie, Shaohui Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

SET: Spectral Enhancement for Tiny Object Detection.

Huixin Sun, Runqi Wang, Yanjing Li, Linlin Yang, Shaohui Lin, Xianbin Cao, Baochang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Caifeng Shan, Ran He, Xing Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration.

Yunshuai Zhou, Junbo Qiao, Jincheng Liao, Wei Li, Simiao Li, Jiao Xie, Yunhang Shen, Jie Hu, Shaohui Lin

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Probability-Density-aware Semi-supervised Learning.

Shuyang Liu, Ruiqiu Zheng, Yunhang Shen, Zhou Yu, Ke Li, Xing Sun, Shaohui Lin

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Online Management for Edge-Cloud Collaborative Continuous Learning: A Two-Timescale Approach.

Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Dongxiao Yu, Yu Wu, Xu Chen

IEEE Trans. Mob. Comput., December, 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., February, 2024

A closer look at branch classifiers of multi-exit architectures.

Shaohui Lin, Bo Ji, Rongrong Ji, Angela Yao

Comput. Vis. Image Underst., February, 2024

Dynamic image super-resolution via progressive contrastive self-distillation.

Zhizhong Zhang, Yuan Xie, Chong Zhang, Yanbo Wang, Yanyun Qu, Shaohui Lin, Lizhuang Ma, Qi Tian

Pattern Recognit., 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, Lizhuang Ma

Pattern Recognit., 2024

SegCFT: Context-aware Fourier Transform for efficient semantic segmentation.

Yinqi Zhang, Lingfu Jiang, Fuhai Chen, Jiao Xie, Baochang Zhang, Gaoqi He, Shaohui Lin

Neurocomputing, 2024

Hi-Mamba: Hierarchical Mamba for Efficient Image Super-Resolution.

Junbo Qiao, Jincheng Liao, Wei Li, Yulun Zhang, Yong Guo, Yi Wen, Zhangxizi Qiu, Jiao Xie, Jie Hu, Shaohui Lin

CoRR, 2024

HUWSOD: Holistic Self-training for Unified Weakly Supervised Object Detection.

Liujuan Cao, Jianghang Lin, Zebo Hong, Yunhang Shen, Shaohui Lin, Chao Chen, Rongrong Ji

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, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Rongrong Ji, Xing Sun

CoRR, 2024

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report.

Bin Ren, Yawei Li, Nancy Mehta, Radu Timofte, Hongyuan Yu, Cheng Wan, Yuxin Hong, Bingnan Han, Zhuoyuan Wu, Yajun Zou, Yuqing Liu, Jizhe Li, Keji He, Chao Fan, Heng Zhang, Xiaolin Zhang, Xuanwu Yin, Kunlong Zuo, Bohao Liao, Peizhe Xia, Long Peng, Zhibo Du, Xin Di, Wangkai Li, Yang Wang, Wei Zhai, Renjing Pei, Jiaming Guo, Songcen Xu, Yang Cao, Zhengjun Zha, Yan Wang, Yi Liu, Qing Wang, Gang Zhang, Liou Zhang, Shijie Zhao, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Xin Liu, Min Yan, Qian Wang, Menghan Zhou, Yiqiang Yan, Yixuan Liu, Wensong Chan, Dehua Tang, Dong Zhou, Li Wang, Lu Tian, Emad Barsoum, Bohan Jia, Junbo Qiao, Yunshuai Zhou, Yun Zhang, Wei Li, Shaohui Lin, Shenglong Zhou, Binbin Chen, Jincheng Liao, Suiyi Zhao, Zhao Zhang, Bo Wang, Yan Luo, Yanyan Wei, Feng Li, Mingshen Wang, Yawei Li, Jinhan Guan, Dehua Hu, Jiawei Yu, Qisheng Xu, Tao Sun, Long Lan, Kele Xu, Xin Lin, Jingtong Yue, Lehan Yang, Shiyi Du, Lu Qi, Chao Ren, Zeyu Han, Yuhan Wang, Chaolin Chen, Haobo Li, Mingjun Zheng, Zhongbao Yang, Lianhong Song, Xingzhuo Yan, Minghan Fu, Jingyi Zhang, Baiang Li, Qi Zhu, Xiaogang Xu, Dan Guo, Chunle Guo, Jiadi Chen, Huanhuan Long

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

CoRR, 2024

LIPT: Latency-aware Image Processing Transformer.

Junbo Qiao, Wei Li, Haizhen Xie, Hanting Chen, Yunshuai Zhou, Zhijun Tu, Jie Hu, Shaohui Lin

CoRR, 2024

Rethinking Centered Kernel Alignment in Knowledge Distillation.

Zikai Zhou, Yunhang Shen, Shitong Shao, Huanran Chen, Linrui Gong, Shaohui Lin

CoRR, 2024

CLIP in Mirror: Disentangling text from visual images through reflection.

Tiancheng Wang, Yuguang Yang, Linlin Yang, Shaohui Lin, Juan Zhang, Guodong Guo, Baochang Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Rethinking Centered Kernel Alignment in Knowledge Distillation.

Zikai Zhou, Yunhang Shen, Shitong Shao, Linrui Gong, Shaohui Lin

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Aligning and Prompting Everything All at Once for Universal Visual Perception.

Yunhang Shen, Chaoyou Fu, Peixian Chen, Mengdan Zhang, Ke Li, Xing Sun, Yunsheng Wu, Shaohui Lin, Rongrong Ji

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report.

Bin Ren, Yawei Li, Nancy Mehta, Radu Timofte, Hongyuan Yu, Cheng Wan, Yuxin Hong, Bingnan Han, Zhuoyuan Wu, Yajun Zou, Yuqing Liu, Jizhe Li, Keji He, Chao Fan, Heng Zhang, Xiaolin Zhang, Xuanwu Yin, Kunlong Zuo, Bohao Liao, Peizhe Xia, Long Peng, Zhibo Du, Xin Di, Wangkai Li, Yang Wang, Wei Zhai, Renjing Pei, Jiaming Guo, Songcen Xu, Yang Cao, Zhengjun Zha, Yan Wang, Yi Liu, Qing Wang, Gang Zhang, Liou Zhang, Shijie Zhao, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Xin Liu, Min Yan, Qian Wang, Menghan Zhou, Yiqiang Yan, Yixuan Liu, Wensong Chan, Dehua Tang, Dong Zhou, Li Wang, Lu Tian, Emad Barsoum, Bohan Jia, Junbo Qiao, Yunshuai Zhou, Yun Zhang, Wei Li, Shaohui Lin, Shenglong Zhou, Binbin Chen, Jincheng Liao, Suiyi Zhao, Zhao Zhang, Bo Wang, Yan Luo, Yanyan Wei, Feng Li, Mingshen Wang, Yawei Li, Jinhan Guan, Dehua Hu, Jiawei Yu, Qisheng Xu, Tao Sun, Long Lan, Kele Xu, Xin Lin, Jingtong Yue, Lehan Yang, Shiyi Du, Lu Qi, Chao Ren, Zeyu Han, Yuhan Wang, Chaolin Chen, Haobo Li, Mingjun Zheng, Zhongbao Yang, Lianhong Song, Xingzhuo Yan, Minghan Fu, Jingyi Zhang, Baiang Li, Qi Zhu, Xiaogang Xu, Dan Guo, Chunle Guo, Jiadi Chen, Huanhuan Long, Chunjiang Duanmu, Xiaoyan Lei, Jie Liu, Weilin Jia, Weifeng Cao, Wenlong Zhang, Yanyu Mao, Ruilong Guo, Nihao Zhang, Manoj Pandey, Maksym Chernozhukov, Giang Le, Shuli Cheng, Hongyuan Wang, Ziyan Wei, Qingting Tang, Liejun Wang, Yongming Li, Yanhui Guo, Hao Xu, Akram Khatami-Rizi, Ahmad Mahmoudi-Aznaveh, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A General and Efficient Training for Transformer via Token Expansion.

Wenxuan Huang, Yunhang Shen, Jiao Xie, Baochang Zhang, Gaoqi He, Ke Li, Xing Sun, Shaohui Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries.

Runqi Wang, Huixin Sun, Linlin Yang, Shaohui Lin, Chuanjian Liu, Yan Gao, Yao Hu, Baochang Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Weakly Supervised Open-Vocabulary Object Detection.

Jianghang Lin, Yunhang Shen, Bingquan Wang, Shaohui Lin, Ke Li, Liujuan Cao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space.

Yunchen Li, Zhou Yu, Gaoqi He, Yunhang Shen, Ke Li, Xing Sun, Shaohui Lin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Kumaraswamy Wavelet for Heterophilic Scene Graph Generation.

Lianggangxu Chen, Youqi Song, Shaohui Lin, Changbo Wang, Gaoqi He

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Hybrid knowledge distillation from intermediate layers for efficient Single Image Super-Resolution.

Jiao Xie, Linrui Gong, Shitong Shao, Shaohui Lin, Linkai Luo

Neurocomputing, October, 2023

MISSU: 3D Medical Image Segmentation via Self-Distilling TransUNet.

Nan Wang, Shaohui Lin, Xiaoxiao Li, Ke Li, Yunhang Shen, Yue Gao, Lizhuang Ma

IEEE Trans. Medical Imaging, September, 2023

Compressing convolutional neural networks with cheap convolutions and online distillation.

Jiao Xie, Shaohui Lin, Yichen Zhang, Linkai Luo

Displays, July, 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, Deqiang Jiang, Di Yin, Peng Gao, Ke Li, Hongsheng Li, Xing Sun

CoRR, 2023

Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler.

Shaohui Lin, Wenxuan Huang, Jiao Xie, Baochang Zhang, Yunhang Shen, Zhou Yu, Jungong Han, David S. Doermann

CoRR, 2023

EdgeC3: Online Management for Edge-Cloud Collaborative Continuous Learning.

Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Xu Chen

Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Data-Free Low-Bit Quantization via Dynamic Multi-teacher Knowledge Distillation.

Chong Huang, Shaohui Lin, Yan Zhang, Ke Li, Baochang Zhang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

MVP-SEG: Multi-view Prompt Learning for Open-Vocabulary Semantic Segmentation.

Jie Guo, Qimeng Wang, Yan Gao, Xiaolong Jiang, Shaohui Lin, Baochang Zhang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Classifier Decoupled Training for Black-Box Unsupervised Domain Adaptation.

Xiangchuang Chen, Yunhang Shen, Xuan Luo, Yan Zhang, Ke Li, Shaohui Lin

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Prior Knowledge-driven Dynamic Scene Graph Generation with Causal Inference.

Jiale Lu, Lianggangxu Chen, Youqi Song, Shaohui Lin, Changbo Wang, Gaoqi He

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Latent Feature Regularization based Adversarial Network for Brain Tumor Anomaly Detection.

Nan Wang, Chengwei Chen, Lizhuang Ma, Shaohui Lin

Proceedings of the IEEE International Conference on Multimedia and Expo, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RAGT: Learning Robust Features for Occluded Human Pose and Shape Estimation with Attention-Guided Transformer.

Ziqing Li, Yang Li, Shaohui Lin

Proceedings of the Computer-Aided Design and Computer Graphics, 2023

An Online Control Approach of Collaborative Federated Learning with Constrained Resources.

Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Xu Chen

Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation.

Linrui Gong, Shaohui Lin, Baochang Zhang, Yunhang Shen, Ke Li, Ruizhi Qiao, Bo Ren, Muqing Li, Zhou Yu, Lizhuang Ma

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Explicit Invariant Feature Induced Cross-Domain Crowd Counting.

Yiqing Cai, Lianggangxu Chen, Haoyue Guan, Shaohui Lin, Changhong Lu, Changbo Wang, Gaoqi He

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DCS-RISR: Dynamic Channel Splitting for Efficient Real-world Image Super-Resolution.

Junbo Qiao, Shaohui Lin, Yunlun Zhang, Wei Li, Jie Hu, Gaoqi He, Changbo Wang, Lizhuang Ma

CoRR, 2022

Self-supervised Models are Good Teaching Assistants for Vision Transformers.

Haiyan Wu, Yuting Gao, Yinqi Zhang, Shaohui Lin, Yuan Xie, Xing Sun, Ke Li

Proceedings of the International Conference on Machine Learning, 2022

DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning.

Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun, Ke Li, Chunhua Shen

Proceedings of the Computer Vision - ECCV 2022, 2022

HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization.

Mengtian Li, Yuan Xie, Yunhang Shen, Bo Ke, Ruizhi Qiao, Bo Ren, Shaohui Lin, Lizhuang Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection.

Chengwei Chen, Yuan Xie, Shaohui Lin, Angela Yao, Guannan Jiang, Wei Zhang, Yanyun Qu, Ruizhi Qiao, Bo Ren, Lizhuang Ma

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Towards Compact Single Image Super-Resolution via Contrastive Self-distillation.

Yanbo Wang, Shaohui Lin, Yanyun Qu, Haiyan Wu, Zhizhong Zhang, Yuan Xie, Angela Yao

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 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, Yuan Xie

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Novelty Detection via Contrastive Learning with Negative Data Augmentation.

Chengwei Chen, Yuan Xie, Shaohui Lin, Ruizhi Qiao, Jian Zhou, Xin Tan, Yi Zhang, Lizhuang Ma

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Self-supervised Compressed Video Action Recognition via Temporal-Consistent Sampling.

Pan Chen, Shaohui Lin, Yongxiang Zhang, Jiachen Xu, Xin Tan, Lizhuang Ma

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Contrastive Learning for Compact Single Image Dehazing.

Haiyan Wu, Yanyun Qu, Shaohui Lin, Jian Zhou, Ruizhi Qiao, Zhizhong Zhang, Yuan Xie, Lizhuang Ma

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification.

Xudong Tian, Zhizhong Zhang, Shaohui Lin, Yanyun Qu, Yuan Xie, Lizhuang Ma

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Towards Compact CNNs via Collaborative Compression.

Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Toward Compact ConvNets via Structure-Sparsity Regularized Filter Pruning.

Shaohui Lin, Rongrong Ji, Yuchao Li, Cheng Deng, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2020

PAMS: Quantized Super-Resolution via Parameterized Max Scale.

Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Yuchao Li, Baochang Zhang, Fan Yang, Rongrong Ji

CoRR, 2020

Towards deep neural network compression via learnable wavelet transforms.

Moritz Wolter, Shaohui Lin, Angela Yao

CoRR, 2020

Neural Network Compression via Learnable Wavelet Transforms.

Moritz Wolter, Shaohui Lin, Angela Yao

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

PAMS: Quantized Super-Resolution via Parameterized Max Scale.

Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji

Proceedings of the Computer Vision - ECCV 2020, 2020

Interpretable Neural Network Decoupling.

Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Holistic CNN Compression via Low-Rank Decomposition with Knowledge Transfer.

Shaohui Lin, Rongrong Ji, Chao Chen, Dacheng Tao, Jiebo Luo

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Training convolutional neural networks with cheap convolutions and online distillation.

Jiao Xie, Shaohui Lin, Yichen Zhang, Linkai Luo

CoRR, 2019

Dynamic Neural Network Decoupling.

Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao

CoRR, 2019

Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning.

Shaohui Lin, Rongrong Ji, Yuchao Li, Cheng Deng, Xuelong Li

CoRR, 2019

Pruning Blocks for CNN Compression and Acceleration via Online Ensemble Distillation.

Zongyue Wang, Shaohui Lin, Jiao Xie, Yangbin Lin

IEEE Access, 2019

Towards Optimal Structured CNN Pruning via Generative Adversarial Learning.

Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David S. Doermann

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression.

Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David S. Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Accelerating Convolutional Networks via Global & Dynamic Filter Pruning.

Shaohui Lin, Rongrong Ji, Yuchao Li, Yongjian Wu, Feiyue Huang, Baochang Zhang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel Redundancy.

Shaohui Lin, Rongrong Ji, Chao Chen, Feiyue Huang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Masked face detection via a modified LeNet.

Shaohui Lin, Ling Cai, Xianming Lin, Rongrong Ji

Neurocomputing, 2016

Towards Convolutional Neural Networks Compression via Global Error Reconstruction.

Shaohui Lin, Rongrong Ji, Xiaowei Guo, Xuelong Li

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016