liucb

Chuanbin Liu

name2

Associate Research Fellow
University of Science and Technology of China
School of Information Science and Technology

[CV] [Google Scholar] [ResearchGate]

Email:  liucb92 AT ustc DOT edu DOT cn
Github:  https://github.com/liuboss1992
Address:  High-tech Campus USTC, No.100, Fuxing Road, Hefei, Anhui, 230027, P. R. China


      My research interests span Medical Image Analysis, Fine-grained Image Analysis and Weakly-supervised Learning. The noteworthy research project of mine is applying Deep Learning into Pediatric Orthopaedics. I am skilled at deep learning and image processing coding, and experienced of Linux server management. I am an enthusiastic and progressive man, and a reliable team leader.
      I will finish my doctor’s degree in 07/2021, and now I am hunting for a position (either in industrial or academic) about Computer Vision and Medical Imaging. Please feel free to [concat me] if you have any interest with my experience.

   News!

2020/12/14    1 paper accepted by IEEE Transactions on Medical Imaging
2020/10/20    Awarded the National Scholarship for Doctoral Students (¥30000)
2020/07/01    1 paper accepted by The Bone & Joint Journa
2020/05/01    1 paper accepted by IEEE Transactions on Medical Imaging
2020/05/19    1 paper accepted by MICCAI 2020
2019/12/05    Awarded the Hua-Yu Fundation Scholarship (¥10000)
2019/11/11    1 paper accepted by AAAI 2020
2019/09/24    1 paper accepted by MMM 2020

  Education

07/2021-Present
PostDoctor of Information and Communication Engineering
Department of Electronic Engineering and Information Science
University of Science and Technology of China (USTC)

09/2015-06/2021
Doctor of Information and Communication Engineering
Department of Electronic Engineering and Information Science
University of Science and Technology of China (USTC)

09/2011-06/2015
Bachelor of Applied Physics
Department of Modern Physics
University of Science and Technology of China (USTC)

  Research Experience

09/2018-Present    Deep Learning for Fine-grained Image Analysis
    Independent Completor
    ●  Propose a novel bidirectional attention-recognition model to actualize a bidirectional reinforcement of attention and recognition learning for weakly-supervised Fine-grained Object Classification.
    ● Propose a Distillation Learning (DL) method to fuse the knowledge from the entire object into region-based feature learning by knowledge distilling.
            One Journal paper accepted by IEEE TMM (first class journal in multimedia; IF: 5.4)
            One conference paper accepted by AAAI 2020 (first class conference in artificial intelligence).
            Two patents accepted by CNIPA.

05/2018-Present    Deep Learning for Diagnosing Developmental Dysplasia of the Hip
    Project Leader
    ●  To resolve the temporal diversity and pathological deformity challenge in X-ray based diagnosis of DDH, convert the detection of a landmark to the detection/segmentation of the landmark’s local neighborhood patch. Spatial attention and Adversarial learning are also employed to deal with the false positive detection.
            One conference paper accepted by MICCAI 2019 (first class conference in medical imaging).
            One journal paper accepted by IEEE TMI (first class journal in medical imaging; IF: 7.8).
            One patent accepted by CNIPA.
            Research in use by Anhui Provincial Children’s Hospital.

09/2017-Present    Deep Learning for Pediatric Bone Age Assessment
    Independent Completor
    ●  Propose a novel weakly-supervised learning approach for Bone Age Assessment, which can discover and extract the discriminative bone parts without human prior. State-of-art performance has been achieved, and the proposed method exhibits interpretability, consistency and inspiration with human prior knowledge.
            One conference paper accepted by MICCAI 2019 (first class conference in medical imaging).
            One conference paper accepted by MICCAI 2020 (first class conference in medical imaging).

            One journal paper accepted by IEEE TMI (first class journal in medical imaging; IF: 7.8).
            Two patent accepted by
CNIPA.
            Research in use by Anhui Provincial Children’s Hospital.

09/2015-09/2017    Future Network Design based on Game Theory
    Project Participant
    ●  Consider the network applications as game players driven by their best self-interest. A novel Media-attribute Switching is proposed with the idea of Mechanism Design. It can provide incentives for applications to label their media-attributes honestly, thus to protect the multimedia network with order and efficiency. Scalable Video Coding and MobilityFirst Network are also involved in this research.
            One conference paper accepted by MMM 2020 (oral talk!).

07/2013-09/2014    Equipment Development for Particle Detection
    Independent Completor
    ●  Design a front-head software for detecting magnetic flux of nuclear fusion.
            Equipment in use by Southwestern Institute of Physics.
    ● Design an analog circuit preamplifier for detecting neutron flux of nuclear fission.
            Equipment in use by Shanghai Institute of Applied Physics.

  Volunteer & Assistant Experience

09/2014-07/2017    Teaching Assistant of Design Innovation
    ●  Teaching Assistant in USTC Design Innovation Course as well as Stanford University Global Alliance for Redesign. Master the skill of project management, team collaborationproduct design and leadership.

09/2012-01/2015    Volunteer Assistant of Psychotherapists
    ●  Assist the psychotherapist to help the student with psychological problem in USTC. Master the skill of listening, observing and psychological counseling.

  Publications

Misshapen Pelvis Landmark Detection with Local-Global Feature Learning for Diagnosing Developmental Dysplasia of the Hip
Chuanbin Liu, Hongtao Xie, Sicheng Zhang, Jun Sun, Yongdong Zhang. 
IEEE Transactions on Medical Imaging

Self-supervised Attention Mechanims for Pediatric Bone Age Assessment with Efficient Weak Annotation
Chuanbin Liu, Hongte Xie, Yongdong Zhang.
IEEE Transactions on Medical Imaging

Filtration and Distillation: Enhancing Region Attention for Fine-Grained Visual Categorization
Chuanbin Liu, Hongtao Xie, Zhengyun Zha,Lingfeng Ma, Lingyun Yu, Yongdong Zhang
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20)

Bidirectional Attention-Recognition Model for Fine-grained Object Classification
Chuanbin Liu, Hongtao Xie, Zhengyun Zha, Lingyun Yu, Zhineng Chen, Yongdong Zhang
IEEE Transactions on Multimedia

Learning Rich Attention for Pediatric Bone Age Assessment
Chuanbin Liu, Hongtao Xie, Yunyan Yan, Yongdong Zhang
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020

Extract Bone Parts without Human Prior: End-to-end Convolutional Neural Network for Pediatric Bone Age Assessment
Chuanbin Liu, Hongtao Xie, Yizhi Liu, Zhengjun Zha, Fanchao Lin, Yongdong Zhang
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2019

Misshapen Pelvis Landmark Detection by Spatial Local Correlation Mining for Diagnosing Developmental Dysplasia of the Hip
Chuanbin Liu, Hongtao Xie, Sicheng Zhang, Jingyuan Xu, Jun Sun, Yongdong Zhang
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2019

Law is Order: Protecting Multimedia Network Transmission by Game Theory and Mechanism Design
Chuanbin Liu, Youliang Tian, Hongtao Xie
International Conference on Multimedia Modeling (MMM) 2020 (Oral talk!)

Semantic-embedding and Shape-aware U-net for Ultrasound Eyeball Segmentation
Fanchao Lin, Chuanbin Liu, Hongtao Xie, Zheng-Jun Zha, Yongdong Zhang
IEEE International Conference on Multimedia and Expo (ICME) 2019

Potential of Attention Mechanism for Classification of Optical Coherence Tomography Images
Zhihua Shang, Zilong Fu, Chuanbin Liu, Hongtao Xie, Yongdong Zhang.
IEEE International Conference on Visual Communications and Image Processing (VCIP) 2019

CircleNet for Hip Landmark Detection
Hai Wu, Hongtao Xie, Chuanbin Liu, Sicheng Zhang, Jun Sun, Yongdong Zhang.
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) 

Clinical Application of Artificial Intelligence–Assisted Diagnosis using Anteroposterior Pelvic Radiographs in Children with Developmental Dysplasia of the Hip
Sicheng Zhang, Jun Sun, Chuanbin Liu, Hongtao Xie, Jihong Fang, Ning Bo.
The Bone & Joint Journal

  Patents

已申请
●  弱监督细粒度物体分类方法,专利申请号 201910993791.5,申请日期 2019.10.18, 申请人 张勇东,刘传彬,谢洪涛,李岩。
●  骨骼年龄评估方法,专利申请号 201910568724.9,申请日期 2019.06.27, 申请人 张勇东,刘传彬,谢洪涛。
●  弱监督细粒度物体分类方法,专利申请号 201910019867.4,申请日期 2019.1.9, 申请人 张勇东,刘传彬,谢洪涛,李岩。
●  髋关节X光图像快速自动分析方法,专利申请号 201811421818.5,申请日期 2018.11.27, 申请人 张勇东,刘传彬,武海,谢洪涛。

  Awards

10/2020  National Scholarship for Doctoral Students (¥30000)
12/2019  Hua-Yu Fundation Scholarship (¥10000)
08/2019  MICCAI 2019 Graduate Student Travel Award ($500)
07/2019  CVPR 2019 Contest on MitosisDetection (3rd)
09/2016  Excellent Teaching Assistant Award
10/2014  Exam-Free Postgraduate to USTC
03/2014  China Undergraduate Physics Tournament Award (Grade 2)
12/2013  Chung-Yao Chao Talent Students Scholarship (¥12000)

  Fundation

Research on Artificial-intelligence-aided Diagnosis of Pediatric Orthopaedic Image
National Natural Science Foundation of China
    Project Participant

Artificial Intelligence Aided Diagnosis in Medical Image about Developmental Dislocation of Hip
National Natural Science Foundation of China
    Project Participant

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