Baoquan Zhang 张保权

Assistant Professor

Harbin Institute of Technology, Shenzhen (HITSZ),
Shenzhen, Guangdong, China, 518055

Email: baoquanzhang at hit dot edu dot cn; baoquanzhang at yeah dot net

Biography

I come from Arun Banner (阿荣旗), Inner Mongolia (内蒙古), and currently an Assistant Professor with the School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China. Before that, I obtained my Ph.D. degree at the Computer Science Dept. of Harbin Institute of Technology (Shenzhen) under the supervision of Prof. Yunming Ye .

My current research interests include a series of topics: multimodal learning, knowledge-informed machine learning, multimodal few/zero-shot learning, meta learning, and spatio-temporal data mining.

News

I'm hosting a special issue "Applied Machine Learning in Data Science" under the journal of Electronics . Welcome to submit manuscript! The topic include but are not limited to knowledge-informed machine learning, data-limited machine learning, multimodal learning, parameter-efficient fine-tuning, and their application on data science.

2024.09.27, Invited as guest editor of the journal Electronics .

2024.09.26,one corresponding author paper is accepted by NeurIPS 2024 .

2024.08.29, one papers are accepted by Pattern Recognition .

2024.02.27, one corresponding author paper is accepted by IEEE Transactions on Geoscience and Remote Sensing.

2024.02.27, two papers (one first-author paper and one co-author paper) are accepted by CVPR 2024.

2023.12.09, one paper is accepted by AAAI 2024.

2023.10.25, one paper is accepted by IEEE/ACM Transactions on Computational Biology and Bioinformatics.

2023.09.10, one corresponding author paper is accepted by Neural Networks (NN).

2023.07.07, one co-author paper is accepted by IEEE Transactions on Geoscience and Remote Sensing (TGRS).

2023.05.04, one paper is accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

2023.02.28, one co-author paper is accepted by CVPR'2023.

2023.02.26, I have successfully passed the Ph.D. Oral Defence. You may call me Dr.Zhang from now.

2023.02.17, one co-author paper is accepted by Neural Networks (NN).

2022.12.03, one paper is accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).

2022.08.16, one paper is accepted by IEEE Transactions on Geoscience and Remote Sensing (TGRS).

2022.07.02, one co-author paper is accepted by Information Science.

2022.05.02, one co-author paper is accepted by IEEE Transactions on Geoscience and Remote Sensing (TGRS).

2022.04.21, one paper is accepted by IJCAI'2022.

2022.04.14, one co-author paper is accepted by Pattern Recognition (PR).

2022.04.06, one co-author paper is accepted by Neural Networks (NN).

2021.12.01, one paper is accepted by AAAI'2022.

2021.03.07, one paper is accepted by Pattern Recognition (PR).

2021.03.01, one paper is accepted by CVPR'2021.

2019.03.01, I start my Ph.D study in ICES at HITSZ.

Publications

Preprints

MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning.[Code]

Baoquan Zhang, Demin Yu.

arXiv preprint arXiv: 2307.16424, 2023. [arXiv] [PDF]

Conference Papers ("*" denotes corresponding author)

	LG-VQ: Language-Guided Codebook Learning.[Code] Guotao Liang, Baoquan Zhang, Yaowei Wang, Xutao Li, Yunming Ye, Huaibin Wang, Chuyao Luo, Kola Ye. Thirty-eighth Annual Conference on Neural Information Processing Systems ( NeurIPS* ), 2024. (CCF-A). [arXiv] [PDF]
	Codebook Transfer with Part-of-Speech for Vector-Quantized Image Modeling.[Code] Baoquan Zhang, Wanghuaibin, Luo Chuyao, Xutao Li, Liang Guotao, Yunming Ye, joeq, Yao He . IEEE Conference on Computer Vision and Pattern Recognition ( CVPR ), 2024. (CCF-A). [arXiv] [PDF]
	DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting. Demin Yu, Xutao Li, Yunming Ye, Baoquan Zhang, Luo Chuyao, Kuai Dai, wangrui, Chenxunlai. IEEE Conference on Computer Vision and Pattern Recognition ( CVPR ), 2024. (CCF-A). [arXiv] [PDF]
	MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning.[Code] Baoquan Zhang, Chuyao Luo, Demin Yu, Xutao Li, Huiwei Lin, Yunming Ye, and Bowen Zhang. Thirty-Sixth AAAI Conference on Artificial Intelligence ( AAAI ), 2024. (CCF-A). [arXiv] [PDF]
	PCR: Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning.[PDF][arXiv][Code] Huiwei Lin, Baoquan Zhang, Shanshan Feng, Xutao Li, Yunming Ye. IEEE Conference on Computer Vision and Pattern Recognition ( CVPR* ), 2023. (CCF-A)
	Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning.[PDF][arXiv][Code] Baoquan Zhang, Hao Jiang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye. The 31st International Joint Conference on Artificial Intelligence ( IJCAI* ), 2022. (CCF-A)
	MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning.[PDF][arXiv][Code] Baoquan Zhang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye. Thirty-Sixth AAAI Conference on Artificial Intelligence ( AAAI ), 2022. (CCF-A)
	Prototype Completion with Primitive Knowledge for Few-Shot Learning.[PDF][arXiv][Code] Baoquan Zhang, Xutao Li, Yunming Ye, Zhichao Huang, Lisai Zhang. IEEE Conference on Computer Vision and Pattern Recognition ( CVPR ), 2021. (CCF-A)

Journal Papers ("*" denotes corresponding author)

	LGCNet: A Cloud Detection Method in Remote Sensing Images Using Local and Global Semantics. Chen Luo, Shanshan Feng, Huaibin Wang, Baoquan Zhang, Pengjuan Yao, Chuyao Luo, Yunming Ye, Yong Xu, Xutao Li, Hao Fang. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024. [PDF]*
	PEPNet: A barotropic primitive equations-based network for wind speed prediction. Rui Ye, Baoquan Zhang, Xutao Li, Yunming Ye. Neural Networks (NN), 2023. [PDF]*
	TRCDNet: A Transformer Network for Video Cloud Detection. Chen Luo, Shanshan Feng, Yingling Quan, Yunming Ye, Xutao Li, Yong Xu, Baoquan Zhang, Zhihao Chen. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023. [PDF]
	Prototype Completion for Few-Shot Learning. Baoquan Zhang, Xutao Li, Yunming Ye, Shanshan Feng. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. [arXiv] [PDF]
	MetaDT: Meta Decision Tree for Interpretable Few-Shot Learning. Baoquan Zhang, Hao Jiang, Xutao Li, Shanshan Feng, Yunming Ye, Chen Luo, Rui Ye. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022. [arXiv] [PDF]*
	SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification. Baoquan Zhang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022. [arXiv] [PDF](SCI, IF=8.125, CCF-B)*
	Learn to Abstract via Concept Graph for Weakly-Supervised Few-Shot Learning. Baoquan Zhang, Ka-Cheong Leung, Xutao Li, Yunming Ye. Pattern Recognition ( PR ), 2021, accepted. [arXiv] [PDF](SCI, IF=8.518, CCF-B)*
	DynamicNet: A time-variant ODE network for multi-step wind speed prediction. Rui Ye, Xutao Li, Yunming Ye, Baoquan Zhang. Neural Networks ( NN ), 2022, accepted. [PDF](SCI, IF=8.05, CCF-B)*
	ECDNet: A Bilateral Lightweight Cloud Detection Network for Remote Sensing Images. Chen Luo, Shanshan Feng, Xutao Li, Yunming Ye, Baoquan Zhang, Zhihao Chen, YingLing Quan. Pattern Recognition ( PR ), 2022, accepted. [PDF](SCI, IF=8.518, CCF-B)*