Shijie Ma

I'm currently a fourth-year Ph.D. student at Institute of Automation, Chinese Academy of Sciences, supervised by Prof. Cheng-Lin Liu.

Before that, I obtained my B.Eng. degree from Tsinghua University in 2021, where I was supervised by Prof. Guoqi Li and Prof. Luping Shi.

My previous research interests lie in open-world machine learning, encompassing novel class discovery, continual learning and data-centric learning. Currently, I focus on multimodal understanding and generation, particularly the relationship and synergy between them.

Email / Google Scholar / Github

Education

Ph.D. at Institute of Automation, Chinese Academy of Sciences, 2021-2026 (expected)
Advisor: Prof. Cheng-Lin Liu
B.E. at Tsinghua University, 2017-2021
Advisor: Prof. Guoqi Li and Prof. Luping Shi

News

[2025.03] My paper is accepted to TPAMI!!!
[2025.01] One paper is accepted to ICLR 2025.
[2024.09] Two papers are accepted to NeurIPS 2024.
[2024.07] One paper is accepted to ECCV 2024 as an oral presentation.
[2024.02] Two papers are accepted to CVPR 2024.
[2023.09] One papers is accepted to NeurIPS 2023.

Preprints

* indicates equal contribution

	GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers Shijie Ma, Yuying Ge, Teng Wang, Yuxin Guo, Yixiao Ge, Ying Shan arXiv / Project Page / Code / Model
	Open-world Machine Learning: A Review and New Outlooks Fei Zhu, Shijie Ma, Zhen Cheng, Xu-Yao Zhang, Zhaoxiang Zhang, Cheng-Lin Liu arXiv

Publications

	ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery Shijie Ma, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 Code
	Aligned Better, Listen Better For Audio-Visual Large Language Models Yuxin Guo, Shuailei Ma, Shijie Ma, Xiaoyi Bao, Chen-Wei Xie, Kecheng Zheng, Tingyu Weng, Siyang Sun, Yun Zheng, Wei Zou International Conference on Learning Representations (ICLR), 2025 Paper
	Towards Trustworthy Dataset Distillation Shijie Ma, Fei Zhu, Zhen Cheng, Xu-Yao Zhang Pattern Recognition (PR), 2025 Paper / arXiv / Code
	MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution Wenzhuo Liu, Fei Zhu, Shijie Ma, Cheng-Lin Liu Advances in Neural Information Processing Systems (NeurIPS), 2024 Paper / arXiv / Code
	Happy: A Debiased Learning Framework for Continual Generalized Category Discovery Shijie Ma, Fei Zhu, Zhun Zhong, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu Advances in Neural Information Processing Systems (NeurIPS), 2024 Paper / arXiv / Code
	WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation Models Xin-Jian Wu, Ruisong Zhang, Jie Qin, Shijie Ma, Cheng-Lin Liu European Conference on Computer Vision (ECCV), 2024 (Oral) Paper / arXiv / Code
	CrossMAE: Cross-Modality Masked Autoencoders for Region-Aware Audio-Visual Pre-Training Yuxin Guo, Siyang Sun, Shuailei Ma, Kecheng Zheng, Xiaoyi Bao, Shijie Ma, Wei Zou, Yun Zheng IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Paper
	Active Generalized Category Discovery Shijie Ma, Fei Zhu, Zhun Zhong, Xu-Yao Zhang, Cheng-Lin Liu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Paper / arXiv / Code
	Cross Pseudo-Labeling for Semi-Supervised Audio-Visual Source Localization Yuxin Guo, Shijie Ma, Yuhao Zhao, Wei Zou International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 Paper / arXiv
	Dual Mean-Teacher: An Unbiased Semi-Supervised Framework for Audio-Visual Source Localization Yuxin Guo, Shijie Ma, Hu Su, Zhiqing Wang, Yuhao Zhao, Wei Zou, Siyang Sun, Yun Zheng Advances in Neural Information Processing Systems (NeurIPS), 2023 Paper / arXiv / Code
	Rethinking Pretraining as a Bridge From ANNs to SNNs Yihan Lin, Yifan Hu, Shijie Ma, Dongjie Yu, Guoqi Li IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Paper / arXiv / Code