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About

About Me

Hello, I'm Jian-Wei Zhang (张建伟)
I started working at Tencent in 2023, focusing on foundation models of image generation and multimodal learning. I got my Ph.D. in 2023 at State Key Lab of CAD&CG of Zhejiang University advised by Prof. Wei Chen. During my Ph.D., I worked on image segmentation, few-shot learning, and image generation under a low-data scenario (i.e., few-shot or few labels) during my Ph.D.

Publications

You can also find my articles on my Google Scholar profile.

Publications: 2023, 2022, 2021, 2020, 2018

2023

Pull and concentrate: improving unsupervised semantic segmentation adaptation with cross-and intra-domain consistencies

Jian-Wei Zhang, Yifan Sun, Wei Chen

Multimedia Systems, 29(5), 2633-2650, 2023 [html] [PyTorch]

ScrollTimes: Tracing the Provenance of Paintings as a Window into History

Wei Zhang, Jason K Wong, Yitian Chen, Ailing Jia, Luwei Wang, Jian-Wei Zhang, Lechao Cheng, Wei Chen

arXiv preprint arXiv:2306.08834, 2023 [pdf]

Computational Approaches for Traditional Chinese Painting: From the" Six Principles of Painting" Perspective

Wei Zhang, Jian-Wei Zhang, Kam Kwai Wong, Yifang Wang, Yingchaojie Feng, Luwei Wang, Wei Chen

arXiv preprint arXiv:2307.14227, 2023 [pdf]

2022

Feature-Proxy Transformer for Few-Shot Segmentation

Jian-Wei Zhang, Yifan Sun, Yi Yang, Wei Chen

Advances in Neural Information Processing Systems (NeurIPS), Spotlight, 2022 [pdf] [PyTorch] [PaddlePaddle]

Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks

Yijing Liu, Qinxian Liu, Jian-Wei Zhang, Haozhe Feng, Zhongwei Wang, Zihan Zhou, Wei Chen

Advances in Neural Information Processing Systems (NeurIPS), Spotlight, 2022 [pdf]

Federated Multi-task Graph Learning

Yijing Liu, Dongmin Han, Jian-Wei Zhang, Haiyang Zhu, Mingliang Xu, Wei Chen

ACM Transactions on Intelligent Systems and Technology (TIST), 2022

An Applicative Survey on Few-shot Learning

Jian-Wei Zhang, Xubin Zhang, Lei Lv, Yining Di, Wei Chen

Recent Patents on Engineering, 2022

2021

VADAF: visualization for abnormal client detection and analysis in federated learning

Linhao Meng, Yating Wei, Rusheng Pan, Shuyue Zhou, Jian-Wei Zhang, Wei Chen

ACM Transactions on Interactive Intelligent Systems (TiiS), 2021

DINs: Deep Interactive Networks for Neurofibroma Segmentation in Neurofibromatosis Type 1 on Whole-Body MRI

Jian-Wei Zhang, Wei Chen, K Ina Ly, Xubin Zhang, Fan Yan, Justin Jordan, Gordon Harris, Scott Plotkin, Pengyi Hao, Wenli Cai

IEEE Journal of Biomedical and Health Informatics (JBHI), 2021 [pdf] [TensorFlow]

Prior-Enhanced Few-Shot Segmentation with Meta-Prototypes

Jian-Wei Zhang, Lei Lv, Yawei Luo, Hao-Zhe Feng, Yi Yang, Wei Chen

arXiv preprint arXiv:2106.00572, 2021 [pdf]

Spatial Prior-Embedded Neural Networks for Medical Image Segmentation

Jian-Wei Zhang, Xubin Zhang, Yuyang Xu, Wei Chen

Journal of Computer-Aided Design & Computer Graphics (J-CAD&CG), 2021

2020

DenseNet-Centercrop:A Novel Convolutional Network for Lung Nodule Classification

Yijing Liu, Xubin Zhang, Jian-Wei Zhang, Zhelei Zhou, Yuanli Feng, Wei Chen

Journal of Zhejiang University (Science Edition), 2020

2018

Computer-Aided Lung Cancer Diagnosis Approaches Based on Deep Learning

Peng Zhang, Xinnan Xu, Hongwei Wang, Yuanli Feng, Haozhe Feng, Jian-Wei Zhang

Journal of Computer-Aided Design & Computer Graphics (J-CAD&CG), 2018

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