Dr. Jiangpeng Yan 严江鹏Principal Scientist @ HuaweiPh.D. @ THUEmail: yanjp13 AT tsinghua DOT org DOT cn |
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I am currently a principal scientist in Huawei (Top Minds Project). Feel free to email me for any collaboration!
I obtained my Ph.D. from 2017 to 2022 at Tsinghua University (THU), supervised by Prof. Xiu Li. I received B.Eng in Department of Automation and B.Sc in Management at THU from 2013 to 2017.
I acted as a research leader for Tsinghua Intelligent Computation Lab where I founded the Medical Image Analysis Student Research Group and co-founded Reinforcement Learning Student Research Group.
I was fortunate to have a half-year internship supervised by Dr. Qiong Yan at SenseTime in 2018. I joined Tencent AI Lab as a research intern in 2020, working closely with Dr. Hanbo Chen and Dr. Jianhua Yao with two valuable years.
Intellignet Headlights for M9: Huawei X Pixel Role: Core Algorithm Designer [media] |
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Intellignet Home Gateway for ChinaUnion: Huawei iFTTR F50 Role: Core Algorithm Designer [media] |
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/*Journal*/ | |
Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients Jiafei Lyu , Yu Yang, Jiangpeng Yan#, Xiu Li#. Neurocomputing, 2023. [paper] |
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Deep Contrastive Learning Based Tissue Clustering for Annotation-free Histopathology Image Analysis Jiangpeng Yan*, Hanbo Chen* , Xiu Li, Jianhua Yao. Computerized Medical Imaging and Graphics (CMIG), 2022. [paper] |
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A Deep Learning Model with Incorporation of Microvascular Invasion Area as a Factor in Predicting Prognosis of Hepatocellular Carcinoma after R0 Hepatectomy Kang Wang*, Yanjun Xiang*, Jiangpeng Yan*, Yuyao Zhu*, Hanbo Chen*, Hongming Yu, Yuqiang Cheng, Xiu Li, Wei Dong, Yan Ji, Jingjing Li, Dong Xie, Wan Yee Lau, Jianhua Yao, Shuqun Cheng. Hepatology International (HI), 2022. [paper][code] |
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Anti-interference from Noisy Labels: Mean-Teacher-assisted Confident Learning for Medical Image Segmentation Zhe Xu, Donghuan Lu, Jie Luo, Yixin Wang, Jiangpeng Yan, Kai Ma, Yefeng Zheng, Raymond Kai-yu Tong IEEE Transactions on Medical Imaging (TMI), 2022. [paper] |
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All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-yu Tong IEEE Journal of Biomedical and Health Informatics (JBHI), 2022. [paper] |
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Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction Jiangpeng Yan, Shuo Chen, Yongbin Zhang, Xiu Li. Computerized Medical Imaging and Graphics (CMIG), 2020.[paper][code] |
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/*Conference*/ | |
Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation Wentao Pan* , Jiangpeng Yan*#, Hanbo Chen* , Jiawei Yang, Zhe Xu, Xiu Li#, Jianhua Yao#. Information Processing in Medical Imaging (IPMI), 2023.(Oral) [paper] |
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Towards Better Understanding and Better Generalization of Low-shot Classification in Histology Images with Contrastive Learning Jiawei Yang , Hanbo Chen , Jiangpeng Yan, Xiaoyu Chen, Jianhua Yao. International Conference on Learning Representations (ICLR), 2022. [paper] [code] |
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Efficient Continuous Control with Double Actors and Regularized Critics Jiafei Lyv , Xiaoteng Ma , Jiangpeng Yan, Xiu Li. AAAI Conference on Artificial Intelligence (AAAI), 2022.(Oral) [paper] [code] |
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Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation Jiangpeng Yan* , Hanbo Chen* , Kang Wang* , Yan Ji, Yuyao Zhu, Jingjing Li, Dong Xie, Zhe Xu, Junzhou Huang, Shuqun Cheng, Xiu Li, Jianhua Yao. Medical Image Computing and Computer Assisted Interventions (MICCAI), 2021.(Early Accept, Top 13%) [paper] |
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Implicit Feature Refinement for Instance Segmentation Lufan Ma, Tiancai Wang, Bin Dong, Jiangpeng Yan, Xiu Li, Xiangyu Zhang. ACM International Conference on Multimedia (ACM MM), 2021. [paper][code] |
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Matting Enhanced Mask R-CNN Lufan Ma, Bin Dong, Jiangpeng Yan, Xiu Li. IEEE International Conference on Multimedia and Expo (ICME), 2021.(Oral) [paper] |
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Dr. Jiafei Lyv, 2020.09 - Now, currently pursues his PhD in THU and leads RL Student Research Group.
Dr. Rui Yang, 2019.09 - 2021.09, was a member in RL Student Research Group and currently pursues his PhD in HKUST.
Ms. Feng Luo, 2019.09 - 2021.09, was a member in MedIA Student Research Group and currently in Tencent.
Ms. Lufan Ma, 2019.09 - 2021.09, was a member in MedIA Student Research Group and currently in Tencent.
Dr. Zhe Xu, 2018.09 - 2020.09, was a member in MedIA Student Research Group and currently pursues his PhD in CUHK.
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2020.9-2021.2, Frontier of Artificial Intelligence (graduate course), Tsinghua Shenzhen International Graduate School.
2017.9-2018.2, Data Structure (undergraduate course), Tsinghua University.