Zijing (Jeremy) Zhao 赵子敬


Researcher at Lenovo Research.

I joined Intelligent Computing Infrastructure Laboratory (ICI Lab) lead by Dr. Weifeng Zhang, Lenovo Research in July 2025.

I received my master’s degree of Data Science (Computer Science and Technology) at Peking University (PKU), Beijing, China in July 2025. I studied in Academy for Advanced Interdisciplinary Studies (AAIS), PKU, supervised by Assistant Prof. Yang Liu at Wangxuan Institite of Computer Technology (WICT), PKU, from September 2022 to July 2025.

I obtained my bachelor’s degree of Computer Science and Techonology in School of Computer Science and Engineering (SCSE), Beihang University (also known as Beijing University of Aeronautics and Astronautics, BUAA) in July 2021.

My research now focus on Privacy Enhanced Computing and Model Generalization in Computer Vision and Multimodal Learning scenarios.

Contact Information

  • Address: No. 10 Courtyard Xibeiwang East Road, Haidian District, Beijing, China
  • Postal code: 100094
  • E-mail: zhaozj23 “at” lenovo.com

Publications

The publications are listed in time order, † denotes corresponding author.

  • AR-VRM: Imitating Human Motions for Visual Robot Manipulation with Analogical Reasoning
    Dejie Yang, Zijing Zhao, Yang Liu†
    The IEEE/CVF International Conference on Computer Vision (ICCV), 2025 (CCF-A)
    [paper link]

  • PlanLLM: Video Procedure Planning with Refinable Large Language Models
    Dejie Yang, Zijing Zhao, Yang Liu†
    The AAAI Conference on Artificial Intelligence (AAAI), 2025 (CCF-A)
    [pdf] [code] [project page]

  • Masked Retraining Teacher-Student Framework for Domain Adaptive Object Detection
    Zijing Zhao, Sitong Wei, Qingchao Chen, Dehui Li, Yifan Yang, Yuxin Peng, Yang Liu†
    The IEEE/CVF International Conference on Computer Vision (ICCV), 2023 (CCF-A)
    [pdf] [supp] [code] [homepage]

  • SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision
    Rong Tian†, Zijing Zhao, Weijie Liu, Haoyan Liu, Weiquan Mao, Zhe Zhao, Kan Zhou
    Conference on Empirical Methods in Natural Language Processing: Industry Track (EMNLP Industry Track), 2023 (CCF-B)
    [pdf]

See more details at Publications.

Open Source Projects

  • Nystromformer-Paddle: Reproducing Nystromformer based on PaddlePaddle [code]
    Reproducing Nystromformer (A Nyström-Based Algorithm for Approximating Self-Attention, AAAI 2021) based on PaddlePaddle.
    This project participated in the 5th PaddlePaddle Paper Reproduction Competition and won the first place at NLP track. It has been merged into PaddleNLP.
    Released on 2022.02, stable release.

  • PaddleFSL: A Python library for few-shot learning (FSL) [code]
    A Python library for few-shot learning (FSL), built upon PaddlePaddle.
    This project is a part of FSL-Mate (a collection of resources for few-shot learning).
    Released on 2021.08, stable release.

  • IndoorRobotSimulation: An indoor robot control simulation system. [code]
    A robot control system based on ROS-Kinetic and a simulation demo based on Gazebo.
    Released on 2020.07, stable release.

Working/Internship Experiences

  • Researcher and member of Global Future Leader (GFL) program, Lenovo Research
    2025.07 till now      Beijing, China
    I am with Intelligent Computing Infrastructure Laboratory (ICI Lab), focusing on Privacy Enhanced Computing.

  • Algorithm Engineering Intern, Technology and Engineering Group (TEG), Tencent
    2022.02 - 2022.08 (6 months)      Beijing, China
    I built an end-to-end acceleration toolkit based on CUDA and CUBLAS for the inference of Transformer models, including parallelled acceleration for tokenizers and mixed precision of INT8 quantization for Transformers.

  • Research Intern, Business Intelligence Lab, Baidu Research
    2021.03 - 2021.09 (6 months)      Beijing, China
    Supervised by Dr. Yaqing Wang and Prof. Dejing Dou. I built PaddleFSL: A Python library for few-shot learning (FSL) based on PaddlePaddle. I also participated in projects on Graph Nerual Networks and Molecular Property Prediction tasks.

Other Experiences

  • 💡 Senior Member, AI Department of Innovation Club, Peking University
    2023.09 - 2024.10 (1 year)      Beijing, China
    Involved in organizing numerous Advanced AI technology seminars and AI track innovation and entrepreneurship investment events.

  • 🏀 Team leader and manager, Men’s Basketball Team of AAIS, Peking University
    2023.09 - 2024.10 (1 year)      Beijing, China
    🏀 Team member, Men’s Basketball Team of AAIS, Peking University
    2022.09 - 2025.06 (3 years)      Beijing, China

  • 💙 Director of the Office, Bluesky Volunteers’ Association, Beihang University
    2018.06 - 2019.06 (1 year)      Beijing, China
    💙 Member of the Office, Bluesky Volunteers’ Association, Beihang University
    2017.09 - 2019.06 (2 years)      Beijing, China
    Bluesky Volunteers’ Association of Beihang University is a registered member unit of the Beijing Volunteer Federation, leading the volunteer activities of Beihang University.
    I have led more than ten volunteer service projects.