CV

Bio.

Chao Chen Candidate Ph.D in Zhejiang University of China. CV

Research Interests

My research interests cover a range of issues : Statistics and Optimization, Deep Learning, Computer Vision, Medical Image Analysis.

Education & Experience

• Oct 2020 - Now: Senior Algorithm Engineer in DAMA Academy, Alibaba Group.
• Apr 2020 - Sep 2020: Intern in DAMA Academy, Alibaba Group.
• Nov 2019 - Nov 2020: Visiting Student in University of California, Los Angeles (UCLA).
• Apr 2019 - Nov 2019: Reasearch Intern in City Brain, DAMO Academy, Alibaba Group.
• Sep 2016 - now: PhD Candidate in Zhejiang University (ZJU), Hangzhou, China
  • Major: Electronic Science and Technology in the school of Information Science and Electronic Enginerring
  • Lab: Center for Intelligent Information Processing and Smart Healthcare
• Sep 2012 - Jun 2016: Bachelor of Engineering Anhui University (AHU), Hefei, China
  • Major: Internet of Things.
  • GPA: 3.81/4.0 | Rank: 1/58    Average Score: 91.66/100 | Rank: 1/58

Publications

• Chao Chen, Catalina Raymond, Bill Speier, Xinyu Jin, Timothy F Cloughesy, Dieter Enzmann, Benjamin M Ellingson, Corey W Arnold. “Synthesizing MR image contrast enhancement using 3D high-resolution ConvNets” IEEE TBME
• Chao Chen, Zhihong Chen, Xinyu Jin, Lanjuan Li, William Speier, Corey Arnold. “Attention-Guided Discriminative Region Localization for Bone Age Assessment” IEEE JBHI
• Pelen Liu, Renjun Xu, Liyan Wang, Chao Chen, Jindong Wang, “Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation” CVPR2020
• Zhihong Chen, Chao Chen, Zhaowei Cheng, Ke fang, Xinyu Jin, “Selective Transfer with Reinforced Transfer Network for Partial Domain Adaptation” CVPR2020
• Chao Chen, Zhihang Fu, Zhihong Chen, Zhaowei Cheng, Xinyu Jin, Xian-sheng Hua “Towards Self-similarity Consistency and Feature Discrimination for Unsupervised Domain Adaptation,” (Signal Processing: Image Communication)
• Chao Chen, Zhihang Fu, Zhihong Chen, Sheng Jin, Zhaowei Cheng, Xinyu Jin, Xian-sheng Hua “HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation,” AAAI-2020
• Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xian-Sheng Hua, “SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation,” AAAI-2020
• Chao Chen, Zhihong Chen, Boyuan Jiang, Xinyu Jin “Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation,” AAAI-2019. paper code
• Chao Chen, Boyuan Jiang, Zhaowei Cheng, Xinyu Jin “Joint Domain Matching and Classification for Cross-Domain Adaptation Via ELM,” Neurocomputing paper code
• Chao Chen, Xinyu Jin, Boyuan Jiang, Lanjuan Li “Optimizing Extreme Learning Machine via Generalized Hebbian Learning and Intrinsic Plasticity Learning,” Neural Processing Letters paper
• Chao Chen, Boyuan Jiang, Xinyu Jin “Parameter Transfer Extreme Learning Machine based on Projective Model,” IJCNN-2018, International Joint Conference on Neural Networks paper code
• Zhihong Chen, Chao Chen, Boyuan Jiang, Xinyu Jin “Deep Joint Two-stream Wasserstein Auto-Encoder and Selective Attention Alignment for Unsupervised Domain Adaptation,” Neural Computing and Applications.
• Boyuan Jiang, Chao Chen, Xinyu Jin “Unsupervised domain adaptation with target reconstruction and label confusion in the common subspace,” Neural Computing and Applications. paper

Skills

• Programming Skills : Python, Matlab, C/C++, \LATEX, Git.
• Tools: Tensorflow, Keras, Pytorch, Numpy, sklearn, Opencv
• Machine Learning : master in Convolutional neural networks (CNNs), Transfer Learning, Domain Adaptaion, Self-supervised Learning, Weakly supervised Learning, Low-shot Learning, Attention-based Methods, Fine-grained image recognition, Medical imaging, Extreme Learning Machine.
  • Familiar with most statistical machine learning/signal processing algorithms/techques.
  • Famaliar with GAN-based methods.
  • Famaliar with GCN-based methods.
  • Familiar with (convex and non-convex) optimization theory, matrix analysis.

Honors & Awards (selected)

•     Fall 2016       Excellent doctoral freshmen scholarship (select 57 from all doctoral freshmen)
• Summer 2016   Top 10 outstanding undergraduate student in School of Electronic Information Engineering, Anhui University (select Top 10 from 500)
• Summer 2016   Outstanding graduate student of Anhui Province (<3%)
• Summer 2016   Excellent graduate student of Anhui University
•     Fall 2015       National Scholarship for Encouragement
•   Spring 2015     First Prize of International Mathematical Modeling Competition
•     Fall 2014       Excellent Student Scholarship (select Top 2 from 58)
•     Fall 2013       National Scholarship (<1%)

Academic service & Membership

• PC member/Reviewer: MICCAI, TIP, Neurocomputing, IEEE Access, Neural Processing Letters.
• IEEE Student Member
• AAAI Student Member