Shuo Chen

Orcid: 0000-0003-2020-6172

Affiliations:
  • RIKEN, Center for Advanced Intelligence Project (AIP), Tokyo, Japan
  • Nanjing University of Science and Technology, School of Computer Science and Engineering, DeepInsight@PCALab, China


According to our database1, Shuo Chen authored at least 33 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Relative margin induced support vector ordinal regression.
Expert Syst. Appl., November, 2023

Fast subspace clustering by learning projective block diagonal representation.
Pattern Recognit., 2023

Hyperbolic embedding steered spatiotemporal graph convolutional network for video-based remote heart rate estimation.
Eng. Appl. Artif. Intell., 2023

Atom-Motif Contrastive Transformer for Molecular Property Prediction.
CoRR, 2023

Learnable Differencing Center for Nighttime Depth Perception.
CoRR, 2023

Creative Birds: Self-Supervised Single-View 3D Style Transfer.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Distribution Shift Matters for Knowledge Distillation with Webly Collected Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Feature Selection Boosted by Unselected Features.
IEEE Trans. Neural Networks Learn. Syst., 2022

Autoencoder-Based Latent Block-Diagonal Representation for Subspace Clustering.
IEEE Trans. Cybern., 2022

Streaming feature selection via graph diffusion.
Inf. Sci., 2022

Semantic Contrastive Embedding for Generalized Zero-Shot Learning.
Int. J. Comput. Vis., 2022

Learning Contrastive Embedding in Low-Dimensional Space.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Linearity-Aware Subspace Clustering.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
δ-Norm-Based Robust Regression With Applications to Image Analysis.
IEEE Trans. Cybern., 2021

Learnable low-rank latent dictionary for subspace clustering.
Pattern Recognit., 2021

Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Large-Margin Contrastive Learning with Distance Polarization Regularizer.
Proceedings of the 38th International Conference on Machine Learning, 2021

Contrastive Embedding for Generalized Zero-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection?
Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

2020
Harnessing Side Information for Classification Under Label Noise.
IEEE Trans. Neural Networks Learn. Syst., 2020

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Cross-Modal Attention Network for Temporal Inconsistent Audio-Visual Event Localization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Understanding the Disharmony between Weight Normalization Family and Weight Decay.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Obstacle Detection by Fusing Point Clouds and Monocular Image.
Neural Process. Lett., 2019

Curvilinear Distance Metric Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Data-Adaptive Metric Learning with Scale Alignment.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Adversarial Metric Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Low-Rank Latent Pattern Approximation With Applications to Robust Image Classification.
IEEE Trans. Image Process., 2017

Harnessing U-disparity in Point Clouds for Obstacle Detection.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2015
Online Topic-Aware Influence Maximization.
Proc. VLDB Endow., 2015


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