Xu Chen Email and Phone Number
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-Dr Xu Chen is currently holding the position of technical leader at Zoom Video Communications in the area of machine learning, computer vision and image/video processing. Published more than 40 peer reviewed IEEE and ACM top journals and international conferences as the first author including T-PAMI, T-MM, T-NNLS, ACM-TIST, CVPR, ICML, KDD, AAAI, ICDM. Meanwhile, he holds more than 30 US patents with a proven track record of delivering long lasting business impact. -Extensive experience in software development in C/C++(OpenCV, Libtorch), Python , tensor flow/pytorch, source control and Agile development. He received PhD degree at University of Illinois at Electrical and Computer Engineering and Bachelor degree at Shanghai Jiaotong Unversity at Electrical Engineering. Familiar and build with AI/MK micro-services using containers, Kubernetes based on cloud platform such as Azure and AWS.The business application domains of his work include image classification and recognition, financial data on fraud detection, health care ECG signal classification, real time video segmentation, people detection and re-identification. His current h-index from google scholar is 14: https://scholar.google.com/citations?user=-lm4aPcAAAAJ&hl=en.-12 years of experience in extensive research and development in various areas including video object segmentation (vos), moving object detection, real-time gesture recognition, virtual background segmentation and video people re-identification. Strong Software Skills and Algorithm Design Skills: 1. Artificial Intelligence: AI/Deep Learning Accelerator, DL Kernels and Library. 2. Generative AI.3. Multi-modal learning, few-shot learning.4. Programmings: C/C++, Cuda, Python (Tensorflow and Pytorch) OpenCL, SAS, R, OpenCV.5. Large language models.6. Uncertainty and Robustness in Bayesian Deep Learning.7. Low Data Algorithms: Semi-supervised Learning, Self-supervised Learning and Active Learning.8. Image and Video (Real-time) Segmentation and People Re-identification.Dr Chen is a US citizen. NO restriction and sponsor is needed for working in US.- Recent Peer Reviewed Publications:1. http://proceedings.mlr.press/v139/chen21a/chen21a.pdf2. https://ieeexplore.ieee.org/abstract/document/95236283. https://ojs.aaai.org//index.php/AAAI/article/view/57594. https://www.computer.org/csdl/journal/tp/5555/01/09625792/1yLTlU3x1kY
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Principal Applied Science Manager In Gen AiMicrosoftCary, Nc, Us
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Technical Leader, Machine Learning And Computer VisionZoom Dec 2021 - PresentSan Jose, Ca, UsDeep learning based computer vision algorithms research, development and deployment (Video Engineering Team):(1) Semantic Realtime Video Segmentation for Multiple People for Virtual Background Portrait Segmentation.https://blog.zoom.us/all-you-need-to-know-about-smart-gallery/(2) People Re-identification on Intelligent director.https://www.youtube.com/watch?v=bxn4RXgU5dMhttps://blog.zoom.us/zoom-federated-ai-maximizes-performance-quality-affordability/(3) Text to Image with Stable Diffusion. -
Senior Machine Learning And Ai Expert, Tech LeadSas Oct 2015 - 2021Cary, Nc, UsProduct Contribution: Build the first graph-based distributed semi-supervised learning actionset for large scale data graphsemisuplearn in SAS which supports various kernels and automatic hyperparameter tuning. https://go.documentation.sas.com/doc/en/pgmsascdc/v_015/casactml/cas-graphsemisuplearn-labelspread.htmAcademic Achievement: Published and presented related work on multiple top ML conference and journal papers on various ML topics including: robust semi-supervised learning, deep generative models as well as distributed automatic active learning as either the first author or the sole author (AAAI, ICML, T-NNLS, T-PAMI):https://ieeexplore.ieee.org/abstract/document/9625792Developed semi-supervised learning based active learning and applied to credit card fraud detection achieves the best performance evaluated on Kaggle dataset.Developed noise-robust semi-supervised learning and semi-supervised generative adversarial network applied to image classification.My recent talk in ICML 2021 conference (one of the top conferences in machine learning), where the second video in the link is my work:https://icml.cc/virtual/2021/session/12096https://www.youtube.com/watch?v=njAIgwzwaTwThe demo of the graph-based semi-supervised learning action set developed by me in SAS from idea generation to production-level of software (full cycle). The related work also results in AAAI research paper in 2020. -
Senior ResearcherSharp Labs Of America Apr 2012 - Oct 2015Vancouver, Washington, UsHe is leading the projects in super resolution, image and video enhancement and frame rate up conversion for UHD 4K and 8K videos and next generation of display technology. He also conducted extensive research and made key contribution in various areas including defect detection, moving object detection, biosensor and real-time gesture recognition. Received one of the best papers top 10% in ICIP 2015 for my work on facial video super resolution.Expertise: Optical Flow, Feature Matching, Background Subtraction, Image and Video Super-Resolution, Motion Estimation and Compensation, Object Detection, Image and Video Enhancement.Some of the demo for the recent work can be found at:https://www.youtube.com/watch?v=DljDtIXnKNMHere is the link for the Sharp robots that I worked on when I was working in Sharp Labs of America (I focus on the feature extraction, motion estimation, deblur and scene recognition tasks)https://www.youtube.com/watch?v=zgEdFkyD9Hg -
Postdoctoral Researcher At Department Of Electrical And Computer EngineeringDuke University Dec 2011 - Mar 2012Durham, North Carolina, UsNon-parameteric Bayesian Machine Learning on Topic Models, the research work results in publication in KDD research track.Postdoc Advisor: Professor Lawrence Carin -
Research Intern At Kodak Research LabEastman Kodak May 2009 - Aug 2009Rochester, New York, UsPropose and develop a novel system for fast scene matching on comsumer image collection compared to the state-of-the-art approaches. Work with Dr Alexander Loui. One top conference paper (ICME 2010) and one international journal paper published during the visit. -
Research Intern At Signal Processing Lab (Lts4)Epfl (École Polytechnique Fédérale De Lausanne) May 2008 - Aug 2008Lausanne, Vaud, ChProposed and developed a novel approach for joint reconstruction of multi-view images using compressive sensing. Work with Professor Pascal Frossard. One top conference paper published during the visit.
Xu Chen Skills
Xu Chen Education Details
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University Of MichiganElectrical And Electronics Engineering -
University Of Illinois ChicagoDepartment Of Electrical And Computer Engineering
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Shanghai Jiao Tong UniversityElectrical And Electronics Engineering
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Fuzhou No.1 High School
Frequently Asked Questions about Xu Chen
What company does Xu Chen work for?
Xu Chen works for Microsoft
What is Xu Chen's role at the current company?
Xu Chen's current role is Principal Applied Science Manager in Gen AI.
What is Xu Chen's email address?
Xu Chen's email address is st****@****ail.com
What is Xu Chen's direct phone number?
Xu Chen's direct phone number is +191953*****
What schools did Xu Chen attend?
Xu Chen attended University Of Michigan, University Of Illinois Chicago, Shanghai Jiao Tong University, Fuzhou No.1 High School.
What skills is Xu Chen known for?
Xu Chen has skills like Machine Learning, Signal Processing, Pattern Recognition, Computer Vision, Matlab, C, Data Mining, Computer Science, Databases, Latex, Python, Algorithms.
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