Research Interests News Recruiting Publications Honor
Chuanguang Yang (杨传广)
Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS)
Address: No.6 Kexueyuan South Road Zhongguancun,Haidian District Beijing,China
Email: yangchuanguang@ict.ac.cn
Blog | GitHub | Google Scholar
I am an assistant professor (researcher) at the Domain-Oriented Intelligent System Research Center, from Institute of Computing Technology, Chinese Academy of Sciences (2023.7~now). I got my Ph.D. degree from Institute of Computing Technology, Chinese Academy of Sciences (2018.9~2023.6), supervised by Prof. Zhulin An and Prof. Yongjun Xu.

Research Interests

Recruiting

【硕士/博士招生】课题组每年有1~2个硕士名额，1个博士名额。请关注计算所7月的保研夏令营暑期班、9月的保研考核和3月的考研考核 【实习】课题组有1~2名实习生名额，可以线上和线下，如果有兴趣请邮件联系

News

  • [2025.5] One paper was accepted by SIGKDD-2025
  • [2025.5] One amazing review about Decision Intelligence was accepted by The Innovation
  • [2025.5] Two papers were accepted by ICML-2025
  • [2025.2] One paper was accepted by CVPR-2025
  • [2025.1] Three papers were accepted by AAAI-2025 (Two Oral)
  • [2024.7] One paper was accepted by ACM MM-2024 (Oral)
  • [2024.5] One paper was accepted by ICML-2024
  • [2024.2] One paper was accepted by CVPR-2024
  • [2023.12] One paper was accepted by AAAI-2024

Publications [Details]

    * represents corresponding author, † represents co-first author.

    2025

  • Chengqing Yu, Fei Wang*, Chuanguang Yang, Zezhi Shao, Tao Sun, Tangwen Qian, Wei Wei, Zhulin An, Yongjun Xu*.
    Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates.
    ACM SIGKDD conference on knowledge discovery and data mining (SIGKDD-2025) [CCF-A]
  • Weilun Feng, Chuanguang Yang*, Haotong Qin, Xiangqi Li, Yu Wang, Zhulin An*, Libo Huang, Boyu Diao, Zixiang Zhao, Yongjun Xu, Michele Magno.
    Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers.
    International Conference on Machine Learning (ICML-2025) [CCF-A]
  • Xiangqi Li†, Libo Huang†, Zhulin An*, Weilun Feng, Chuanguang Yang, Boyu Diao, Fei Wang, Yongjun Xu.
    Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning.
    International Conference on Machine Learning (ICML-2025) [CCF-A]
  • Han Yang, Chuanguang Yang*, Qiuli Wang, Zhulin An*, Weilun Feng, Libo Huang, Yongjun Xu.
    Multi-party Collaborative Attention Control for Image Customization.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-2025) [CCF-A]
  • Han Yang, Chuanguang Yang*, Zhulin An*, Libo Huang, Yongjun Xu.
    HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation.
    AAAI Conference on Artificial Intelligence (AAAI-2025) [CCF-A]
  • Weilun Feng†, Haotong Qin†, Chuanguang Yang*, Zhulin An*, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno.
    MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models.
    AAAI Conference on Artificial Intelligence (AAAI-2025) [CCF-A]
  • Chuanguang Yang, Xinqiang Yu, Han Yang, Zhulin An*, Chengqing Yu, Libo Huang, Yongjun Xu.
    Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition.
    AAAI Conference on Artificial Intelligence (AAAI-2025) [CCF-A]

    • 2024

  • Weilun Feng, Chuanguang Yang*, Zhulin An*, Libo Huang, Boyu Diao, Fei Wang, Yongjun Xu.
    Relational Diffusion Distillation For Efficient Image Generation.
    ACM Multimedia (ACM MM-2024) [CCF-A]
  • Lujun Li, Yufan Bao, Peijie Dong, Chuanguang Yang, Anggeng Li, Wenhan Luo, Qifeng Liu, Wei Xue, Yike Guo.
    DetKDS: Knowledge Distillation Search for Object Detectors.
    International Conference on Machine Learning (ICML-2024) [CCF-A]
  • Xinqiang Yu, Chuanguang Yang*, Chengqing Yu, Libo Huang*, Zhulin An*, Yongjun Xu.
    Online Policy Distillation with Decision-Attention.
    International Joint Conference on Neural Networks (IJCNN-2024) [CCF-C]
  • Chuanguang Yang, Zhulin An*, Libo Huang, Junyu Bi, Xinqiang Yu, Han Yang, Boyu Diao, Yongjun Xu*.
    CLIP-KD: An Empirical Study of CLIP Model Distillation.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-2024) [CCF-A]
  • Chuanguang Yang, Luming Chen*, Erhu Zhao, Zhulin An, Yongjun Xu.
    Graph-based Representation Knowledge Distillation for Image Classification. (基于图表征知识蒸馏的图像分类方法)
    Acta Electronica Sinica (电子学报) [CCF-A]
  • Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An*, Boyu Diao, Yongjun Xu.
    eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation.
    AAAI Conference on Artificial Intelligence (AAAI-2024) [CCF-A]

    • 2023

  • Junyu Bi, Daixuan Cheng, Ping Yao*, Bochen Pang, Yuefeng Zhan, Chuanguang Yang et al.
    VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching.
    IEEE/CVF International Conference on Computer Vision (ICCV-2023) [CCF-A]
  • Chuanguang Yang*, Xinqiang Yu, Zhulin An, Yongjun Xu.
    Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation.
    Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems (Springer Book Chapter)
  • Chuanguang Yang, Zhulin An*, Helong Zhou, Fuzhen Zhuang, Yongjun Xu, Qian Zhang.
    Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition.
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI-2023) [CCF-A]

    • 2022

  • Chuanguang Yang, Zhulin An*, Helong Zhou, Linhang Cai, Xiang Zhi, Jiwen Wu, Yongjun Xu, Qian Zhang.
    MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition.
    European Conference on Computer Vision (ECCV-2022) [CCF-B]
  • Chuanguang Yang, Zhulin An*, Linhang Cai, Yongjun Xu.
    Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution.
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS-2022)[CCF-B, IF:14.255]
  • Chuanguang Yang, Zhulin An*, Yongjun Xu.
    Localizing Semantic Patches for Accelerating Image Classification.
    IEEE International Conference on Multimedia and Expo (ICME-2022) [CCF-B]
  • Chuanguang Yang, Helong Zhou, Zhulin An*, Xue Jiang, Yongjun Xu, Qian Zhang.
    Cross-Image Relational Knowledge Distillation for Semantic Segmentation.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-2022) [CCF-A]
  • Chuanguang Yang, Zhulin An*, Linhang Cai, Yongjun Xu.
    Mutual Contrastive Learning for Visual Representation Learning.
    AAAI Conference on Artificial Intelligence (AAAI-2022) [CCF-A]
  • Linhang Cai, Zhulin An*, Chuanguang Yang, Yanchun Yang, Yongjun Xu.
    Prior Gradient Mask Guided Pruning-aware Fine-tuning.
    AAAI Conference on Artificial Intelligence (AAAI-2022) [CCF-A]

    • 2021

  • Chuanguang Yang, Zhulin An*, Linhang Cai, Yongjun Xu.
    Hierarchical Self-supervised Augmented Knowledge Distillation.
    International Joint Conference on Artificial Intelligence (IJCAI-2021) [CCF-A]
  • Chuanguang Yang, Zhulin An*, Yongjun Xu.
    Multi-View Contrastive Learning for Online Knowledge Distillation.
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2021) [CCF-B]
  • Linhang Cai, Zhulin An*, Chuanguang Yang, Yongjun Xu.
    Soft and Hard Filter Pruning via Dimension Reduction.
    International Joint Conference on Neural Networks (IJCNN-2021) [CCF-C]

    • 2020

  • Linhang Cai, Zhulin An*, Chuanguang Yang, Yongjun Xu.
    Softer Pruning, Incremental Regularization.
    International Conference on Pattern Recognition (ICPR-2020) [CCF-C]
  • Hui Zhu, Zhulin An*, Chuanguang Yang, Xiaolong Hu, Kaiqiang Xu, Yongjun Xu.
    Efficient Search for the Number of Channels for Convolutional Neural Networks.
    International Joint Conference on Neural Networks (IJCNN-2020) [CCF-C]
  • Xiaolong Hu, Zhulin An*, Chuanguang Yang, Hui Zhu, Kaiqaing Xu, Yongjun Xu.
    DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners.
    European Conference on Artificial Intelligence (ECAI-2020) [CCF-B]
  • Chuanguang Yang, Zhulin An*, Hui Zhu, Xiaolong Hu, Kun Zhang, Kaiqiang Xu, Chao Li, Yongjun Xu.
    Gated Convolutional Networks with Hybrid Connectivity for Image Classification.
    AAAI Conference on Artificial Intelligence (AAAI-2020) [CCF-A]

    • 2019

  • Hui Zhu, Zhulin An*, Chuanguang Yang, Kaiqiang Xu, Erhu Zhao, Yongjun Xu.
    EENA: Efficient Evolution of Neural Architecture.
    International Conference on Computer Vision Workshops (ICCVW-2019) [CCF-A Workshops]
  • Chuanguang Yang, Zhulin An*, Chao Li, Boyu Diao, Yongjun Xu.
    Multi-objective Pruning for CNNs using Genetic Algorithm.
    International Conference on Artificial Neural Networks (ICANN-2019) [CCF-C]

Review Services

  • Conference: CVPR (2022~2025), ECCV (2022~2024), ICCV (2023~2025), AAAI (2022~2025), IJCAI (2023~2024), NeurIPS (2024~2025), ICLR (2025), ICML (2025), ACM MM (2021~2023), ACCV (2024)
  • Journal: IEEE Transactions on Neural Networks and Learning Systems, Applied Artificial Intelligence

Honor

Competitions

* denotes the team leader.
  • EPIC-SOUNDS Audio-Based Interaction Recognition Track, CVPR 2023 [Third Place Award]
    Yuqi Li, Yizhi Luo, Xiaoshuai Hao, Chuanguang Yang*, Zhulin An, Dantong Song, Wei Yi.
  • A Challenge for Out-of-Distribution Generalization in Computer Vision (OOD-CV), ICCV 2023 [Third Place Award]
    Yuqi Li, Yizhi Luo, Chuanguang Yang*, Zhulin An, Xiaoshuai Hao, Yihang Zhou.
  • Cross-Organ and Cross-Scanner Adenocarcinoma Segmentation Challenge, MICCAI 2024 [Second Place Award]
    Yuqi Li, Chuanguang Yang*, Zhulin An, Yongjun Xu, Wei Yi.

Research Experience

  • Microsoft Research Asia, Beijing, China. Oct.2022-Jan.2023
    • Research Intern in Visual Group, mentored by Zheng Zhang
    • Multi-Modal Knowledge Distillation, Contrastive Language-Image Pretraining
  • Horizon Robotics, Beijing, China. Aug.2021-Sep.2022
    • Research Intern in Basic Algorithm Platform Department, mentored by Qian Zhang
    • Knowledge Distillation, Semantic Segmentation
  • Megvii, Beijing, China. Nov.2019-Apr.2020
    • Research Intern in Foundation Model Group, mentored by Xiangyu Zhang
    • Knowledge Distillation, Efficient Model Design