Chuanguang Yang

Orcid: 0000-0001-5890-289X

According to our database1, Chuanguang Yang authored at least 32 papers between 2019 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Exemplar-Free Class Incremental Learning via Incremental Representation.
CoRR, 2024

eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

CLIP-KD: An Empirical Study of Distilling CLIP Models.
CoRR, 2023

Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation.
CoRR, 2023

Team AcieLee: Technical Report for EPIC-SOUNDS Audio-Based Interaction Recognition Challenge 2023.
CoRR, 2023

eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation.
CoRR, 2023

VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition.
CoRR, 2022

Localizing Semantic Patches for Accelerating Image Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition.
Proceedings of the Computer Vision, 2022

Cross-Image Relational Knowledge Distillation for Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Mutual Contrastive Learning for Visual Representation Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Prior Gradient Mask Guided Pruning-Aware Fine-Tuning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Learning Positional Priors for Pretraining 2D Pose Estimators.
Proceedings of the HUMA'21: Proceedings of the 2nd International Workshop on Human-centric Multimedia Analysis, 2021

Soft and Hard Filter Pruning via Dimension Reduction.
Proceedings of the International Joint Conference on Neural Networks, 2021

Hierarchical Self-supervised Augmented Knowledge Distillation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Multi-View Contrastive Learning for Online Knowledge Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D Human Pose Estimation.
CoRR, 2020

Multi-view Contrastive Learning for Online Knowledge Distillation.
CoRR, 2020

Localizing Multi-scale Semantic Patches for Image Classification.
CoRR, 2020

Efficient Search for the Number of Channels for Convolutional Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Softer Pruning, Incremental Regularization.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Gated Convolutional Networks with Hybrid Connectivity for Image Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
DNANet: De-Normalized Attention Based Multi-Resolution Network for Human Pose Estimation.
CoRR, 2019

Rethinking the Number of Channels for the Convolutional Neural Network.
CoRR, 2019

Gated Convolutional Networks with Hybrid Connectivity for Image Classification.
CoRR, 2019

EENA: Efficient Evolution of Neural Architecture.
CoRR, 2019

EENA: Efficient Evolution of Neural Architecture.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Multi-objective Pruning for CNNs Using Genetic Algorithm.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019


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