Chao Chen

Chao Chen

PhD, Alibaba DAMO Academy

Welcome to Chao Chen’s Homepage

News.

  • 2024-05 Three papers are sumbitted to NeurIPS-2024
  • 2024-01 One paper is accepted by ICLR-2024
  • 2023-09 Two papers are accepted by NeurIPS-2023
  • 2022-07 One paper is accepted by IEEE TBME
  • 2021-09 Graduated from Zhejiang University
  • 2021-07 One paper is accepted by IEEE JBHI
  • 2021-03 One Paper is accepted by SPIC
  • 2020-03: Two papers are accepted by CVPR-2020.
  • 2019-11: Visiting UCLA Computational Diagnostics Lab, sponsored by CSC.
  • 2019-11: Two papers are accepted by AAAI-2020.

Short Bio.

I am a Senior Algorithm Engineer at DAMO Academy, Alibaba Group, while I work on LLM, Deep Learning, Computer Vision. Before I join Alibaba, I received my Ph.D degree from Zhejiang University in 2021.

My research interest mainly focus on Machine Learning, Computer Vision.

Education & Experience

  • Oct 2021 - Now: Senior Algorithm Engineer in DAMO Academy, Alibaba Group.
  • Apr 2021 - Sep 2021: Intern in DAMO 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 - Sep 2021: Ph.D Degree in Zhejiang University (ZJU), Hangzhou, China
    • Dept: 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

  • Xize Liang, Chao Chen*, Shuang Qiu, Jie Wang, Yue Wu, Zhihang Fu, Zhihao Shi, Feng Wu, Jieping Ye. “ROPO: Robust Preference Optimization for Large Language Models” Submited to NeurIPS-2024
  • Chao Chen, Kai Liu, Ze Chen, Yi Gu, Yue Wu, Mingyuan Tao, Zhihang Fu, Jieping Ye. “INSIDE: LLMs’ Internal States Retain the Power of Hallucination Detection” ICLR-2024. paper
  • Chao Chen, Zhihang Fu, Kai Liu, Ze Chen, Mingyuan Tao, Jieping Ye. “Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection” NeurIPS-2023. paper
  • 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. paper code
  • Chao Chen, Zhihong Chen, Xinyu Jin, Lanjuan Li, William Speier, Corey Arnold. “Attention-Guided Discriminative Region Localization for Bone Age Assessment” IEEE JBHI. paper code
  • 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. paper
  • 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. paper code
  • Chao Chen, Zhihong Chen, Boyuan Jiang, Xinyu Jin. “Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation” AAAI-2019. [paper].(https://arxiv.org/abs/1808.09347) 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.
  • Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye. “Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions” NeurIPS-2023.
  • Pelen Liu, Renjun Xu, Liyan Wang, Chao Chen, Jindong Wang. “Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation” CVPR-2020.
  • Zhihong Chen, Chao Chen, Zhaowei Cheng, Ke fang, Xinyu Jin. “Selective Transfer with Reinforced Transfer Network for Partial Domain Adaptation” CVPR-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.
  • Jinyang Huang, Bin Liu, Pengfei Liu, Chao Chen, Ning Xiao, Yu Wu, Chi Zhang, Nenghai Yu. “Towards anti-interference WiFi-based activity recognition system using interference-independent phase component” IEEE INFOCOM.
  • 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 & Applications.
  • Boyuan Jiang, Chao Chen, Xinyu Jin “Unsupervised domain adaptation with target reconstruction and label confusion in the common subspace” Neural Computing & Applications paper.
  • Jinyang Huang, Bin Liu, Chao Chen, Hongxin Jin, Zhiqiang Liu, Chi Zhang, Nenghai Yu. “Towards anti-interference human activity recognition based on WiFi subcarrier correlation selection,” IEEE TVT.
  • Zhaowei Cheng, Chao Chen, Zhihong Chen, Ke Fang, Xinyu Jin, “Robust and high-order correlation alignment for unsupervised domain adaptation,” Neural Computing & Allpication.

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, Unsupervised Feature Learning, Metric Learning, Attention-based Methods, Fine-grained image recognition, Second-order/ higher-order Statistcis, 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/tensor analysis.
  • Applications: Classification, Video action recognition, 3D Conv Model, image-to-image translation (super-resolution, denoising, deblurring, enhancement, style-transfer, segmentation…)

Academic service & Membership

  • PC member/Reviewer: MICCAI, IEEE-TIP, ACM-TOMM, Neurocomputing.
  • IEEE Student Member
  • AAAI Student Member

Honors & Awards (selected)

  •     Fall 2019       Outstanding Graduate, Outstanding Ph.D stipend
  • Summer 2019   China Scholar Council Scholarship
  •     Fall 2016       Excellent doctoral freshmen scholarship.
  • 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%)