Chuanguang Yang

According to our database, Chuanguang Yang authored at least 64 papers between 2019 and 2025.

Collaborative distances:

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

2025

S²Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation.

Weilun Feng, Haotong Qin, Chuanguang Yang, Xiangqi Li, Han Yang, Yuqi Li, Zhulin An, Libo Huang, Michele Magno, Yongjun Xu

CoRR, August, 2025

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation.

Weilun Feng, Chuanguang Yang, Haotong Qin, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Boyu Diao, Fuzhen Zhuang, Michele Magno, Yongjun Xu, Yingli Tian, Tingwen Huang

CoRR, July, 2025

Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting.

Yuqi Li, Chuanguang Yang, Hansheng Zeng, Zeyu Dong, Zhulin An, Yongjun Xu, Yingli Tian, Hao Wu

CoRR, July, 2025

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation.

Yuqi Li, Junhao Dong, Zeyu Dong, Chuanguang Yang, Zhulin An, Yongjun Xu

CoRR, June, 2025

Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates.

Chengqing Yu, Fei Wang, Chuanguang Yang, Zezhi Shao, Tao Sun, Tangwen Qian, Wei Wei, Zhulin An, Yongjun Xu

CoRR, June, 2025

Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers.

Weilun Feng, Chuanguang Yang, Haotong Qin, Xiangqi Li, Yu Wang, Zhulin An, Libo Huang, Boyu Diao, Zixiang Zhao, Yongjun Xu, Michele Magno

CoRR, May, 2025

SepPrune: Structured Pruning for Efficient Deep Speech Separation.

Yuqi Li, Kai Li, Xin Yin, Zhifei Yang, Junhao Dong, Zeyu Dong, Chuanguang Yang, Yingli Tian, Yao Lu

CoRR, May, 2025

PrePrompt: Predictive prompting for class incremental learning.

Libo Huang, Zhulin An, Chuanguang Yang, Boyu Diao, Fei Wang, Yan Zeng, Zhifeng Hao, Yong-Jun Xu

CoRR, May, 2025

Efficient Continual Learning through Frequency Decomposition and Integration.

Ruiqi Liu, Boyu Diao, Libo Huang, Hangda Liu, Chuanguang Yang, Zhulin An, Yongjun Xu

CoRR, March, 2025

FedKD-hybrid: Federated Hybrid Knowledge Distillation for Lithography Hotspot Detection.

Yuqi Li, Xingyou Lin, Kai Zhang, Chuanguang Yang, Zhongliang Guo, Jianping Gou, Yanli Li

CoRR, January, 2025

ECG-guided individual identification via PPG.

Riling Wei, Hanjie Chen, Kelu Yao, Chuanguang Yang, Jun Wang, Chao Li

CoRR, January, 2025

Spatio-temporal masked autoencoder-based phonetic segments classification from ultrasound.

Xi Dan, Kele Xu, Yihang Zhou, Chuanguang Yang, Yihao Chen, Yutao Dou, Cheng Yang

Speech Commun., 2025

Enhancing spatiotemporal prediction through the integration of Mamba state space models and Diffusion Transformers.

Hansheng Zeng, Yuqi Li, Ruize Niu, Chuanguang Yang, Shiping Wen

Knowl. Based Syst., 2025

Achieving fair medical image segmentation in foundation models with adversarial visual prompt tuning.

Yuqi Li, Yanli Li, Kai Zhang, Fuyan Zhang, Chuanguang Yang, Zhongliang Guo, Weiping Ding, Tingwen Huang

Inf. Sci., 2025

Enhancing Image Generation Fidelity via Progressive Prompts.

Zhen Xiong, Yuqi Li, Chuanguang Yang, Tiao Tan, Zhihong Zhu, Siyuan Li, Yue Ma

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

ECG-guided individual identification via PPG.

Riling Wei, Hanjie Chen, Kelu Yao, Chuanguang Yang, Jun Wang, Chao Li

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

OLN++: Improved Object Localization Network for Open-world Object Detection.

Haonan Mai, Libo Huang, Zhulin An, Jiarui Zhao, Chuanguang Yang, Erhu Zhao, Yongjun Xu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Prototype-Driven Multi-Feature Generation for Visible-Infrared Person Re-identification.

Jiarui Li, Zhen Qiu, Yilin Yang, Yuqi Li, Zeyu Dong, Chuanguang Yang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Cross-Layer Graph Knowledge Distillation for Image Recognition.

Jiaming Chu, Yanzhuo Xiang, Yuqi Li, Chuanguang Yang, Zhulin An, Yongjun Xu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Multi-party Collaborative Attention Control for Image Customization.

Han Yang, Chuanguang Yang, Qiuli Wang, Zhulin An, Weilun Feng, Libo Huang, Yongjun Xu

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

Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition.

Chuanguang Yang, Xinqiang Yu, Han Yang, Zhulin An, Chengqing Yu, Libo Huang, Yongjun Xu

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

HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation.

Han Yang, Chuanguang Yang, Zhulin An, Libo Huang, Yongjun Xu

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

MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models.

Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno

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

2024

PDD: Pruning Neural Networks During Knowledge Distillation.

Xi Dan, Wenjie Yang, Fuyan Zhang, Yihang Zhou, Zhuojun Yu, Zhen Qiu, Boyuan Zhao, Zeyu Dong, Libo Huang, Chuanguang Yang

Cogn. Comput., November, 2024

Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution.

Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu

IEEE Trans. Neural Networks Learn. Syst., February, 2024

SGLP: A Similarity Guided Fast Layer Partition Pruning for Compressing Large Deep Models.

Yuqi Li, Yao Lu, Zeyu Dong, Chuanguang Yang, Yihao Chen, Jianping Gou

CoRR, 2024

Exemplar-Free Class Incremental Learning via Incremental Representation.

Libo Huang, Zhulin An, Yan Zeng, Chuanguang Yang, Xinqiang Yu, Yongjun Xu

CoRR, 2024

Relational Diffusion Distillation for Efficient Image Generation.

Weilun Feng, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Yongjun Xu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Online Policy Distillation with Decision-Attention.

Xinqiang Yu, Chuanguang Yang, Chengqing Yu, Libo Huang, Zhulin An, Yongjun Xu

Proceedings of the International Joint Conference on Neural Networks, 2024

CPG: Channel Pruning with DFS Guided Grouping for Efficient Medical Image Segmentation.

Xilin Yan, Fuyan Zhang, Yuqi Li, Zhen Qiu, Boyuan Zhao, Jiarui Li, Hansheng Zeng, Yihao Chen, Chuanguang Yang

Proceedings of the Neural Information Processing - 31st International Conference, 2024

DetKDS: Knowledge Distillation Search for Object Detectors.

Lujun Li, Yufan Bao, Peijie Dong, Chuanguang Yang, Anggeng Li, Wenhan Luo, Qifeng Liu, Wei Xue, Yike Guo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CLIP-KD: An Empirical Study of CLIP Model Distillation.

Chuanguang Yang, Zhulin An, Libo Huang, Junyu Bi, Xinqiang Yu, Han Yang, Boyu Diao, Yongjun Xu

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

Online Relational Knowledge Distillation for Image Classification.

Yihang Zhou, Chuanguang Yang, Yuqi Li, Libo Huang, Zhulin An, Yongjun Xu

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Class-wise Image Mixture Guided Self-Knowledge Distillation for Image Classification.

Zeyu Dong, Chuanguang Yang, Yuqi Li, Libo Huang, Zhulin An, Yongjun Xu

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation.

Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu

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

2023

Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition.

Chuanguang Yang, Zhulin An, Helong Zhou, Fuzhen Zhuang, Yongjun Xu, Qian Zhang

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

CLIP-KD: An Empirical Study of Distilling CLIP Models.

Chuanguang Yang, Zhulin An, Libo Huang, Junyu Bi, Xinqiang Yu, Han Yang, Yongjun Xu

CoRR, 2023

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

Chuanguang Yang, Xinqiang Yu, Zhulin An, Yongjun Xu

CoRR, 2023

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

Yuqi Li, Yizhi Luo, Xiaoshuai Hao, Chuanguang Yang, Zhulin An, Dantong Song, Wei Yi

CoRR, 2023

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

Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu

CoRR, 2023

VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching.

Junyu Bi, Daixuan Cheng, Ping Yao, Bochen Pang, Yuefeng Zhan, Chuanguang Yang, Yujing Wang, Hao Sun, Weiwei Deng, Qi Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition.

Chuanguang Yang, Zhulin An, Helong Zhou, Yongjun Xu, Qian Zhang

CoRR, 2022

Localizing Semantic Patches for Accelerating Image Classification.

Chuanguang Yang, Zhulin An, Yongjun Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition.

Chuanguang Yang, Zhulin An, Helong Zhou, Linhang Cai, Xiang Zhi, Jiwen Wu, Yongjun Xu, Qian Zhang

Proceedings of the Computer Vision, 2022

Cross-Image Relational Knowledge Distillation for Semantic Segmentation.

Chuanguang Yang, Helong Zhou, Zhulin An, Xue Jiang, Yongjun Xu, Qian Zhang

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

Mutual Contrastive Learning for Visual Representation Learning.

Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu

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

Prior Gradient Mask Guided Pruning-Aware Fine-Tuning.

Linhang Cai, Zhulin An, Chuanguang Yang, Yangchun Yan, Yongjun Xu

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

2021

Learning Positional Priors for Pretraining 2D Pose Estimators.

Kun Zhang, Ping Yao, Rui Wu, Chuanguang Yang, Ding Li, Min Du, Kai Deng, Renbiao Liu, Tianyao Zheng

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.

Linhang Cai, Zhulin An, Chuanguang Yang, Yongjun Xu

Proceedings of the International Joint Conference on Neural Networks, 2021

Hierarchical Self-supervised Augmented Knowledge Distillation.

Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu

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

Multi-View Contrastive Learning for Online Knowledge Distillation.

Chuanguang Yang, Zhulin An, Yongjun Xu

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

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

Kun Zhang, Rui Wu, Ping Yao, Kai Deng, Ding Li, Renbiao Liu, Chuanguang Yang, Ge Chen, Min Du, Tianyao Zheng

CoRR, 2020

Multi-view Contrastive Learning for Online Knowledge Distillation.

Chuanguang Yang, Zhulin An, Xiaolong Hu, Hui Zhu, Kaiqiang Xu, Yongjun Xu

CoRR, 2020

Localizing Multi-scale Semantic Patches for Image Classification.

Chuanguang Yang, Xiaolong Hu, Zhulin An, Hui Zhu, Yongjun Xu

CoRR, 2020

Efficient Search for the Number of Channels for Convolutional Neural Networks.

Hui Zhu, Zhulin An, Chuanguang Yang, Xiaolong Hu, Kaiqiang Xu, Yongjun Xu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Softer Pruning, Incremental Regularization.

Linhang Cai, Zhulin An, Chuanguang Yang, Yongjun Xu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners.

Xiaolong Hu, Zhulin An, Chuanguang Yang, Hui Zhu, Kaiqiang Xu, Yongjun Xu

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.

Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kun Zhang, Kaiqiang Xu, Chao Li, Yongjun Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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

Kun Zhang, Peng He, Ping Yao, Ge Chen, Chuanguang Yang, Huimin Li, Li Fu, Tianyao Zheng

CoRR, 2019

Rethinking the Number of Channels for the Convolutional Neural Network.

Hui Zhu, Zhulin An, Chuanguang Yang, Xiaolong Hu, Kaiqiang Xu, Yongjun Xu

CoRR, 2019

Gated Convolutional Networks with Hybrid Connectivity for Image Classification.

Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kaiqiang Xu, Chao Li, Boyu Diao, Yongjun Xu

CoRR, 2019

EENA: Efficient Evolution of Neural Architecture.

Hui Zhu, Zhulin An, Chuanguang Yang, Kaiqiang Xu, Yongjun Xu

CoRR, 2019

EENA: Efficient Evolution of Neural Architecture.

Hui Zhu, Zhulin An, Chuanguang Yang, Kaiqiang Xu, Erhu Zhao, Yongjun Xu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Multi-objective Pruning for CNNs Using Genetic Algorithm.

Chuanguang Yang, Zhulin An, Chao Li, Boyu Diao, Yongjun Xu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019