About me

I will join Alibaba as a Computer Graphics Algorithm Engineer. I received my master degree in 2022 from Southeast University, advised by Prof. Yangang Wang. My research interests are Computer Graphics and Computer Vision.

My blogs can be found in Zhihu (10k+ followers). I have created 50+ graphics/vision-related notes or answers with 1,200k readings, 20k favorites and likes.

I always pay attention to Computer Graphics and believe "Nature is a great artist and try to reproduce some of its art work with computers". -D: Computer Graphics is Awesome!

Education

• M.Eng. in Pattern Recognition, Southeast University, Sep. 2019 - Jun. 2022
  • Grade: 92.23/100, rank: 10/135
  • Thesis: Research on Fast Fur Generation
  • Microsoft Student Club, Southeast University
    • Vice President (Jun. 2020 - Jun. 2021) & Member (Oct. 2019 - Jun. 2020)
• B.Eng. in Electronic Information Science and Technology, Nanjing Agricultural University, Sep. 2015 - Jun. 2019
  • Grade: 90.73/100, rank: 4/109
  • Thesis: 3D Reconstruction of Animal from a Single RGB Image
    • Outstanding Undergraduate Thesis Award, Nanjing Agricultural University
    • Ranked 1st in the department
  • Big Data Lab
    • Leader of Machine Learning Group & Undergraduate Group, Jun. 2017 - Aug. 2019
    • Core member, Jul. 2016 - Jun. 2017
  • Embedded IoT Innovation Studio
    • Technical Director, Jun. 2017 - Jun. 2018
    • Core member, Sep. 2015 - Jun. 2017
  • Admitted to Southeast University without examinations, rank: 1/109

Experience

• Tao Technology, Alibaba (Aug. 2021 - Jan. 2022)
  • Computer graphics algorithm engineer intern
  • Research on Neural Fur Generation (related to Domain Adaptation and Contrastive Learning) and Offline Rendering
  • Mentor: Gang Wang, Lumin Yang, Yan Zhang
• Vision and Cognition Lab, Southeast University (April. 2018 - Jun. 2022)
  • Under the supervision of Prof. Yangang Wang
  • Research on Computer Graphics and Computer Vision
    • 3D Reconstruction, especially single-view methods
    • Hair Modeling and Rendering [1]
• SeetaTech (May. 2019 - Aug. 2019)
  • Research on computer vision, especially object detection and tracking
  • Deployed algorithms on hardware, such as smart containers in retail scenarios
• Institute of Cognitive Intelligence, Southeast University (May. 2017 - Sep. 2017)
  • Under the supervision of Prof. Guilin Qi and Dr. Yuncheng Hua
  • Research on Knowledge Graph and Question Answering System
• Big Data Lab, Nanjing Agricultural University (Jun.2016 - Aug. 2019)
  • Under the supervision of Prof. Xiuguo Zou
  • Research on machine learining and its applications in agriculture [2] and power system [3]
  • Led the machine learning group and undergraduate group of the lab from Jun. 2017

Projects

• Hair Modeling and Rendering (Jun. 2019 - Jun. 2022)
  • Under the supervision of Prof. Yangang Wang
  • Proposed a geometric method to generate 3D hair data according to the reference hair model [1]
  • Explored the representation of hair model in deep learning and the interpretability in the latent space of neural networks
  • Implemented algorithms on top conference and journal papers, such as HairNet (ECCV 2018) and so on
• GAMES 101: Introduction to Computer Graphics [Project page] (Feb. 2020 - Apr. 2020)
  • An online public course about computer graphics taught by Prof. Ling-Qi Yan
  • A total of 8 assignments and a final project have been corrected by TAs (Grade: 114.81/115)
• 3D Reconstruction of Animal from a Single RGB Image (Sep. 2018 - Jun. 2019)
  • Under the supervision of Prof. Yangang Wang and Prof. Xiuguo Zou
  • Outstanding Undergraduate Thesis Award of Nanjing Agricultural University (Top 1 out of 300+ students)
  • Used a parametric statistical 3D model as a prior, recovered 3D shape and pose from a rgb image based on visual cues, such as key points
• Agriclutural Question Answering System (Jul. 2018 - Aug. 2018)
  • Selected as a member of the International AI Training Program for Chinese Universities organized by The Chinese Ministry of Education, Peking University, acceptance rate: 4%
  • Constructed knowledge graph related to agriculture and built a rule-based question answering system
• Knowledge Graph and Question Answering Sysyem (May. 2017 - Aug. 2017)
  • Under the supervision of Prof. Guilin Qi and Dr. Yuncheng Hua
  • Cleaned the acquired online data and constructed knowledge graph
  • Built a question answering system according to knowledge graph
• SLAM applied to Agriculture (April, 2017 - April, 2018)
  • Under the supervision of Prof. Xiangze Lin
  • Research on SLAM applied to Agriculture
• Machine Learning and Its applications (Aug. 2016 - Aug. 2019)
  • Under the supervision of Prof. Xiuguo Zou
  • Designed a mobile IoT device to detect whether the apple is rotten or not according to gas information with the help of machine learning algorithms [2]
  • Proposed a method to identify tea diseases based on spectral reflectance with machine learning [3]
  • Developed a method to find the reasonable data needed in the Supervisory Control and Data Acquisition (SCADA) system [4]

Publications

• Graphics
  [1] Hair Salon: A Geometric Example-based Method to Generate 3D Hair Data [Paper]. Q. Ren, H. Wei, Y. Wang.
  International Conference on Image and Graphics(ICIG), 2021.
• Machine Learning
  [2] Design of Electronic Nose Detection System for Apple Quality Grading Based on Computational Fluid Dynamics Simulation and K-Nearest Neighbor Support Vector Machine [Paper]. X. Zou, C. Wang, M. Luo, Q. Ren, Y. Liu, S. Zhang, Y. Bai, J. Meng, W. Zhang, Steven W. Su.
  Sensors, 2022.
  [3] Identification of Tea Diseases based on Spectral Reflectance and Machine Learning [Paper]. X. Zou, Q. Ren, H. Cao, Y. Qian, S. Zhang.
  Journal of Information Processing Systems, 2020.
  [4] An Optimization Method for the Calculation of SCADA Main Grid’s Theoretical Line Loss Based on DBSCAN [Paper]. H. Cao, Q. Ren, X. Zou, S. Zhang, Y. Qian.
  Journal of Information Processing Systems, 2019.

Honors & Awards (selected)

• The First Class Scholarship of Southeast University (Top 8%), 2020
• Outstanding Undergraduate Thesis Award of Nanjing Agricultural University (Top 1 out of 300 students), 2019
• Outstanding Student of Jiangsu Province (1 out of 5000 students), 2018
• Gold Medal of International Genetically Engineered Machine Competition, 2017
• The First Class Scholarship of Nanjing Agricultural University, 2016, 2017, 2018

Service

• Reviewer, IEEE Transactions on Affective Computing (SCI, CCF B)
• Reviewer, Chinese Edition of “Real-Time Rendering 4th” (will coming soon)
• TA, GAMES 101: Introduction to Computer Graphics (Spring 2021) taught by Prof. Ling-Qi Yan
• TA, GAMES 104: Modern Game Engine - Theory and Practice

Talk & Poster

• [Poster] ‘Hair Salon: A Geometric Example-based Method to Generate 3D Hair Data.’, International Conference on Image and Graphics(ICIG), 2021.
• [Talk] ‘Agricultural AI’, China R Conference, 2018
  • Organized by School of Statistics, Renmin University of China and Guanghua School of Management, Peking University

Misc

I am a huge fan of sports, such as Men’s Physique(健体), Basketball, Running and so on. I want to try more sports, like surfing, rock climbing, etc. I am also full of interest in photography, food and many other things.

• Some milestones:
  • Half Deadlift(半程硬拉): 230kg*2 (02/20/2022)
  • Deadlift(硬拉): 180kg (06/27/2021), 170kg (05/20/2021)
  • Squat(深蹲): 130kg*4 (08/21/2021), 120kg*2 (12/30/2020)
  • Bench press(卧推): 90kg (08/15/2021)
  • Bowling: 200 points with 7 strikes (06/28/2021)
  • Run around Xuanwu Lake: 10.05km in 56 mins 58 seconds
  • The longest running distance: 12km in 1 hours 15 mins 1 seconds

:-D Hope to be an advanced player in every field!(希望成为每个领域的高级玩家)