publications

*Equal contribution, †Corresponding author

2025

  1. ICML
    When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network
    Dong Xiao*, Guangyao Chen*†, Peixi Peng, Yangru Huang, Yifan Zhao, and 2 more authors
    In Forty-second International Conference on Machine Learning, 2025 (Spotlight Poster, Acceptance Rate: < 2.6%)
  2. ICML
    Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation
    Jintao Tong, Ran Ma, Yixiong Zou, Guangyao Chen, Yuhua Li, and 1 more author
    In Forty-second International Conference on Machine Learning, 2025 (Spotlight Poster, Acceptance Rate: < 2.6%)
  3. ICML
    Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation
    Jintao Tong, Yixiong Zou, Guangyao Chen, Yuhua Li, and Ruixuan Li
    In Forty-second International Conference on Machine Learning, 2025
  4. AM
    Empowering Generalist Material Intelligence with Large Language Models
    Wenhao Yuan, Guangyao Chen, Zhilong Wang, and Fengqi You
    Advanced Materials, 2025 (Featured on journal cover)
    Paper
  5. CVPRW
    Automated Essential Concept Discovery for Few-Shot Out-of-Distribution Detection
    Guangyao Chen, Kai Horstmann, Zhilong Wang, and Fengqi You
    In CVPR Workshop on Visual Anomaly and Novelty Detection, 2025 (Spotlight Presentation)
  6. Preprint
    Training-free Anomaly Event Detection via LLM-guided Symbolic Pattern Discovery
    Yuhui Zeng, Haoxiang Wu, Wenjie Nie, Guangyao Chen†, Xiawu Zheng, and 5 more authors
    arXiv, 2025
    arXiv Code
  7. Preprint
    G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition
    Yicong Dong, Rundong He, Guangyao Chen, Wentao Zhang, Zhongyi Han, and 2 more authors
    arXiv, 2025
    arXiv

2024

  1. IJCAI
    AutoAgents: A Framework for Automatic Agent Generation
    Guangyao Chen*, Siwei Dong*, Yu Shu*, Ge Zhang, Sesay Jaward, and 3 more authors
    In The 33rd International Joint Conference on Artificial Intelligence, 2024 (Acceptance Rate: 15%)
    arXiv Code
  2. AAAI
    Adaptive Discovering and Merging for Incremental Novel Class Discovery
    Guangyao Chen, Peixi Peng, Yangru Huang, Mengyue Geng, and Yonghong Tian
    In Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
    arXiv Paper
  3. ACMMM
    MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning
    Zhenyu Zhang*, Guangyao Chen*, Yixiong Zou, Zhimeng Huang, Yuhua Li, and 1 more author
    In ACM Multimedia, 2024 (Oral Presentation, Acceptance Rate: < 3.97%)
    Paper
  4. ACMMM
    Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-shot Open-Set Recognition
    Zhenyu Zhang*, Guangyao Chen*, Yixiong Zou, Yuhua Li, and Ruixuan Li
    In ACM Multimedia, 2024
    Paper
  5. NeurIPS
    Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL
    Yangru Huang, Peixi Peng, Yifan Zhao, Guangyao Chen, and Yonghong Tian
    In Advances in Neural Information Processing Systems, 2024
    Paper

2023

  1. TCSVT
    Picking Up Quantization Steps for Compressed Image Classification
    Li Ma, Peixi Peng, Guangyao Chen, Yifan Zhao, Siwei Dong, and 1 more author
    IEEE Transactions on Circuits and Systems for Video Technology, 2023
    Paper
  2. MIR
    Large-scale multi-modal pre-trained models: A comprehensive survey
    Xiao Wang, Guangyao Chen, Guangwu Qian, Pengcheng Gao, Xiao-Yong Wei, and 3 more authors
    Machine Intelligence Research, 2023
    arXiv Paper Code
  3. ICIG
    Learning Sparse Neural Networks with Identity Layers
    Mingjian Ni, Guangyao Chen, Xiawu Zheng, Peixi Peng, Li Yuan, and 1 more author
    In The 12th International Conference on Image and Graphics, 2023 (Oral)
    arXiv
  4. ArXiv
    Training Full Spike Neural Networks via Auxiliary Accumulation Pathway
    Guangyao Chen, Peixi Peng, Guoqi Li, and Yonghong Tian
    arXiv, 2023
    arXiv Code
  5. Preprint
    LLaSM: Large Language and Speech Model
    Yu Shu*, Siwei Dong*, Guangyao Chen*, Wenhao Huang, Ruihua Zhang, and 3 more authors
    arXiv, 2023
    arXiv Code

2022

  1. TPAMI
    Adversarial Reciprocal Points Learning for Open Set Recognition
    Guangyao Chen, Peixi Peng, Xiangqian Wang, and Yonghong Tian
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 (Academician Shi Qingyun’s Outstanding Paper Award, Highly Cited Paper)
    arXiv Paper Code
  2. NeurIPS
    Spectrum Random Masking for Generalization in Image-based Reinforcement Learning
    Yangru Huang, Peixi Peng, Yifan Zhao, Guangyao Chen, and Yonghong Tian
    In Advances in Neural Information Processing Systems, 2022
    Paper
  3. 中国科学
    紧致化神经网络的鲁棒性分析
    陈光耀; 彭佩玺; 田永鸿;
    中国科学: 技术科学, 2022
    Paper
  4. NeurIPS
    OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
    Jingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou, Kunyuan Ding, and 11 more authors
    In Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track, 2022
    arXiv Paper Code

2021

  1. ICCV
    Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
    Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, and 1 more author
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2021
    arXiv Paper Code
  2. ACM MM
    Annotation-Efficient Untrimmed Video Action Recognition
    Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian, Kurt Keutzer, and 1 more author
    In Proceedings of the 29th ACM International Conference on Multimedia, Oct 2021
    arXiv Paper

2020

  1. ECCV
    Learning open set network with discriminative reciprocal points
    Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, and 3 more authors
    In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part III 16, Oct 2020 (Spotlight Presentation, Acceptance Rate: < 5%)
    arXiv Paper Dataset Code
  2. MIPR
    Anonymous Model Pruning for Compressing Deep Neural Networks
    Lechun Zhang, Guangyao Chen, Yemin Shi, Quan Zhang, Mingkui Tan, and 3 more authors
    In 2020 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), Oct 2020
    Paper

2018

  1. PCM
    Saliency Detection by Superpixel-Based Sparse Representation
    Guangyao Chen, and Zhenzhong Chen
    In Advances in Multimedia Information Processing–PCM 2017: 18th Pacific-Rim Conference on Multimedia, Harbin, China, September 28-29, 2017, Revised Selected Papers, Part II 18, Oct 2018
    Paper