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ORCIDShuo Chen 0003
Person information
- affiliation: RIKEN, Center for Advanced Intelligence Project (AIP), Tokyo, Japan
- affiliation: Nanjing University of Science and Technology, School of Computer Science and Engineering, DeepInsight@PCALab, China
Other persons with the same name
- Shuo Chen — disambiguation page
- Shuo Chen 0001 — Microsoft Research, Redmond, WA, USA (and 1 more)
- Shuo Chen 0002
![[0000-0001-7453-8282]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7453-8282")
— Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, China - Shuo Chen 0004 — National University of Defense Technology, School of Electronic Science, Changsha, China
- Shuo Chen 0005 — Northeastern University, Sino-Dutch Biomedical and Information Engineering School, Shenyang, China
- Shuo Chen 0006 — Nanyang Technological University, School of Computer Science and Engineering, Singapore
- Shuo Chen 0007 — New Jersey Institute of Technology, Department of Computer Science, Newark, NJ, USA (and 1 more)
- Shuo Chen 0008 — Cornell University, Department of Computer Science, Ithaca, NY, USA (and 1 more)
- Shuo Chen 0009 — Tsinghua University, Department of Automation, Tsinghua National Laboratory for Information Science and Technology, Research Institute of Information Technology, Beijing, China
- Shuo Chen 0010 — TikTok, Singapore (and 1 more)
- Shuo Chen 0011 — Xiamen University, Department of Cognitive Science, China
- Shuo Chen 0012 — Shenzhen University, College of Computer Science and Software Engineering, China
- Shuo Chen 0013 — Harbin Institute of Technology, School of Astronautics, China
- Shuo Chen 0014 — LMU Munich, Germany
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2020 – today
- 2023
[j13]Hang Shao, Lei Luo, Shuo Chen, Chuanfei Hu, Jian Yang:
Hyperbolic embedding steered spatiotemporal graph convolutional network for video-based remote heart rate estimation. Eng. Appl. Artif. Intell. 124: 106642 (2023)- [j12]Fa Zhu, Xingchi Chen, Shuo Chen, Wei Zheng, Weidu Ye:
Relative margin induced support vector ordinal regression. Expert Syst. Appl. 231: 120766 (2023) - [j11]Yesong Xu, Shuo Chen, Jun Li, Chunyan Xu, Jian Yang:
Fast subspace clustering by learning projective block diagonal representation. Pattern Recognit. 135: 109152 (2023) - [c18]Renke Wang, Guimin Que, Shuo Chen, Xiang Li, Jun Li, Jian Yang:
Creative Birds: Self-Supervised Single-View 3D Style Transfer. ICCV 2023: 8741-8750 - [c17]Jialiang Tang, Shuo Chen, Gang Niu, Masashi Sugiyama, Chen Gong:
Distribution Shift Matters for Knowledge Distillation with Webly Collected Images. ICCV 2023: 17424-17434 - [i12]Zhiqiang Yan, Yupeng Zheng, Kun Wang, Xiang Li, Zhenyu Zhang, Shuo Chen, Jun Li, Jian Yang:
Learnable Differencing Center for Nighttime Depth Perception. CoRR abs/2306.14538 (2023) - [i11]Jialiang Tang, Shuo Chen, Gang Niu, Masashi Sugiyama, Chen Gong:
Distribution Shift Matters for Knowledge Distillation with Webly Collected Images. CoRR abs/2307.11469 (2023) - [i10]Renke Wang, Guimin Que, Shuo Chen, Xiang Li, Jun Li, Jian Yang:
Creative Birds: Self-Supervised Single-View 3D Style Transfer. CoRR abs/2307.14127 (2023) - [i9]Wentao Yu, Shuo Chen, Chen Gong, Gang Niu, Masashi Sugiyama:
Atom-Motif Contrastive Transformer for Molecular Property Prediction. CoRR abs/2310.07351 (2023) - 2022
- [j10]Zongyan Han, Zhenyong Fu, Shuo Chen, Jian Yang:
Semantic Contrastive Embedding for Generalized Zero-Shot Learning. Int. J. Comput. Vis. 130(11): 2606-2622 (2022) - [j9]Wei Zheng, Shuo Chen, Zhenyong Fu, Jun Li, Jian Yang:
Streaming feature selection via graph diffusion. Inf. Sci. 618: 150-168 (2022) - [j8]Yesong Xu, Shuo Chen, Jun Li, Zongyan Han, Jian Yang:
Autoencoder-Based Latent Block-Diagonal Representation for Subspace Clustering. IEEE Trans. Cybern. 52(6): 5408-5418 (2022) - [j7]Wei Zheng, Shuo Chen, Zhenyong Fu, Fa Zhu, Hui Yan, Jian Yang:
Feature Selection Boosted by Unselected Features. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4562-4574 (2022) - [c16]Yesong Xu, Shuo Chen, Jun Li, Jianjun Qian:
Linearity-Aware Subspace Clustering. AAAI 2022: 8770-8778 - [c15]Jinchao Yang, Fei Guo, Shuo Chen, Jun Li, Jian Yang:
Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation. CVPR 2022: 7824-7833 - [c14]Shuo Chen, Chen Gong, Jun Li, Jian Yang, Gang Niu, Masashi Sugiyama:
Learning Contrastive Embedding in Low-Dimensional Space. NeurIPS 2022 - [i8]Jinchao Yang, Fei Guo, Shuo Chen, Jun Li, Jian Yang:
Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation. CoRR abs/2203.12835 (2022) - 2021
- [j6]Yesong Xu, Shuo Chen, Jun Li, Lei Luo, Jian Yang:
Learnable low-rank latent dictionary for subspace clustering. Pattern Recognit. 120: 108142 (2021) - [j5]Shuo Chen, Jian Yang, Yang Wei, Lei Luo, Gui-Fu Lu, Chen Gong:
δ-Norm-Based Robust Regression With Applications to Image Analysis. IEEE Trans. Cybern. 51(6): 3371-3383 (2021) - [c13]Deqiang Li, Tian Qiu, Shuo Chen, Qianmu Li, Shouhuai Xu:
Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection? ACSAC 2021: 596-608 - [c12]Zongyan Han, Zhenyong Fu, Shuo Chen, Jian Yang:
Contrastive Embedding for Generalized Zero-Shot Learning. CVPR 2021: 2371-2381 - [c11]Shuo Chen, Gang Niu, Chen Gong, Jun Li, Jian Yang, Masashi Sugiyama:
Large-Margin Contrastive Learning with Distance Polarization Regularizer. ICML 2021: 1673-1683 - [c10]Guangpin Tao, Xiaozhong Ji, Wenzhuo Wang, Shuo Chen, Chuming Lin, Yun Cao, Tong Lu, Donghao Luo, Ying Tai:
Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution. NeurIPS 2021: 22643-22654 - [c9]Jiangning Zhang, Chao Xu, Jian Li, Wenzhou Chen, Yabiao Wang, Ying Tai, Shuo Chen, Chengjie Wang, Feiyue Huang, Yong Liu:
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model. NeurIPS 2021: 26674-26688 - [i7]Zongyan Han, Zhenyong Fu, Shuo Chen, Jian Yang:
Contrastive Embedding for Generalized Zero-Shot Learning. CoRR abs/2103.16173 (2021) - [i6]Jiangning Zhang, Chao Xu, Jian Li, Wenzhou Chen, Yabiao Wang, Ying Tai, Shuo Chen, Chengjie Wang, Feiyue Huang, Yong Liu:
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model. CoRR abs/2105.15089 (2021) - [i5]Deqiang Li, Tian Qiu, Shuo Chen, Qianmu Li, Shouhuai Xu:
Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection? CoRR abs/2109.09654 (2021) - [i4]Guangpin Tao, Xiaozhong Ji, Wenzhuo Wang, Shuo Chen, Chuming Lin, Yun Cao, Tong Lu, Donghao Luo, Ying Tai:
Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution. CoRR abs/2110.12151 (2021) - 2020
- [j4]Yang Wei, Chen Gong, Shuo Chen, Tongliang Liu, Jian Yang, Dacheng Tao:
Harnessing Side Information for Classification Under Label Noise. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3178-3192 (2020) - [c8]Hanyu Xuan, Zhenyu Zhang, Shuo Chen, Jian Yang, Yan Yan:
Cross-Modal Attention Network for Temporal Inconsistent Audio-Visual Event Localization. AAAI 2020: 279-286 - [c7]Xiang Li, Shuo Chen, Jian Yang:
Understanding the Disharmony between Weight Normalization Family and Weight Decay. AAAI 2020: 4715-4722 - [c6]Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang:
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection. NeurIPS 2020 - [i3]Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang:
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection. CoRR abs/2006.04388 (2020)
2010 – 2019
- 2019
- [j3]Yang Wei, Jian Yang, Chen Gong, Shuo Chen, Jianjun Qian:
Obstacle Detection by Fusing Point Clouds and Monocular Image. Neural Process. Lett. 49(3): 1007-1019 (2019) - [c5]Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li:
Data-Adaptive Metric Learning with Scale Alignment. AAAI 2019: 3347-3354 - [c4]Xiang Li, Shuo Chen, Xiaolin Hu, Jian Yang:
Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift. CVPR 2019: 2682-2690 - [c3]Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang:
Curvilinear Distance Metric Learning. NeurIPS 2019: 4225-4234 - 2018
- [c2]Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li:
Adversarial Metric Learning. IJCAI 2018: 2021-2027 - [i2]Xiang Li, Shuo Chen, Xiaolin Hu, Jian Yang:
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift. CoRR abs/1801.05134 (2018) - [i1]Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li:
Adversarial Metric Learning. CoRR abs/1802.03170 (2018) - 2017
- [j2]Shuo Chen, Jian Yang, Lei Luo, Yang Wei, Kaihua Zhang, Ying Tai:
Low-Rank Latent Pattern Approximation With Applications to Robust Image Classification. IEEE Trans. Image Process. 26(11): 5519-5530 (2017) - [c1]Yang Wei, Chen Gong, Shuo Chen:
Harnessing U-disparity in Point Clouds for Obstacle Detection. ACPR 2017: 262-267 - 2015
- [j1]Shuo Chen, Ju Fan, Guoliang Li, Jianhua Feng, Kian-Lee Tan, Jinhui Tang:
Online Topic-Aware Influence Maximization. Proc. VLDB Endow. 8(6): 666-677 (2015)
Coauthor Index
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