I am an Algorithm Engineer at the Huawei Noah's Ark Lab, where I am working on Deep Learning, Computer Vision, etc. Before that, I obtained my Master degree (supervised by Prof. Yu Qiao) at Multimedia Laboratory (MMLAB) of Shenzhen Institutes of Advanced Technology (SIAT) of University of Chinese Academy of Sciences (UCAS). I did my Bachelor degree at South China University of Technology (SCUT). More details in my CV.
Education
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University of Chinese Academy of Sciences (UCAS) Sep. 2020 ~ Jun. 2023
Master of Computer Science, Supervisor: Prof. Yu Qiao / Team: MMLAB -
South China University of Technology (SCUT) Sep. 2016 ~ Jun. 2020
Bachelor of Automation (GPA: 3.72/4.0, Comprehensive Ranking: 1/49) -
South China University of Technology (SCUT)Sep. 2015 ~ Jun. 2016
Bachelor of Medical Image (GPA: 3.92/4.0, GPA Ranking: 1/30)
I changed my major to Automation due to personal interest.
Work Experience
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Huawei Aug. 2023 ~ Present
Data Scientist at the Applied AI Department of Noah's Ark Lab
Responsibilities include:
- Research on Artificial Intelligence, including generated content detection, document manipulation detection, and multimodal large models
- Algorithm deployment
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Baidu Dec. 2022 ~ Aug. 2023
Machine Learning Intern at the Vision Department
Responsibilities include:
- Research on visual parameter-efficient tuning and face anti-spoofing
- Algorithm deployment
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Alibaba Aug. 2021 ~ Nov. 2022
Machine Learning Intern at the DAMO Academy
Responsibilities include:
- Research on face uncertainty quantification and out-of-distribution detection
- Research on unsupervised domain adaptation
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Shenzhen Institutes of Advanced Technology Oct. 2019 ~ Apr. 2020
Visiting Student at the MMLAB of SIAT
Responsibilities include:
- Research on 3D face reconstruction
Research
I have a keen interest in creating resilient algorithms capable of effectively tackling challenges in practical, everyday scenarios.Selected publications and preprints:
Towards Lossless Ultimate Vision Token Compression for VLMs
Positional Preservation Embedding for Multimodal Large Language Models
GenVidBench: A Challenging Benchmark for Detecting AI-Generated Video
CSDG-FAS: Closed-Space Domain Generalization for Face Anti-spoofing
GenDet: Towards Good Generalizations for AI-Generated Image Detection
Dynamic Feature Queue for Surveillance Face Anti-spoofing via Progressive Training
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling
Improved Target Signal Source Tracking and Extraction Method Based on Outdoor Visible Light Communication Using a Cam-Shift Algorithm and Kalman Filter
High-Speed Robust Dynamic Positioning and Tracking Method Based on Visual Visible Light Communication Using Optical Flow Detection and Bayesian Forecast
Selected Honors & Awards
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Outstanding Student Award of SIAT of UCAS Dec. 2022
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Achievement Award of SIAT of UCAS Dec. 2021
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Nomination Award of Top Ten Pacemakers to Merit Student (16/13,000) Nov. 2019
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He Jingtang Science and Technology Innovation Award (5/13,000) Nov. 2019
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Guangzhou Automobile Group (GAC) Scholarship Nov. 2019
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China National Scholarship Oct. 2018
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China National Encouragement Scholarship Oct. 2017
- First Prize in the 4th Face Anti-spoofing (Surveillance) Challenge@CVPR2023
- First Prize in Remote Sensing Image Segmentation CCF BDCI Competition@2020