CV

Education

University of Liverpool, Ph.D. in Computer Science (Dec 2022 – Jul 2025)

• Research area: Trustworthy AI; Adversarial Machine Learning
• Supervisors: Prof. Wenjie Ruan; Dr. Anh Nguyen; Prof. Xiaowei Huang

University of Exeter, Ph.D. in Computer Science (Sep 2021 – Dec 2022)

• Research area: Trustworthy AI; Adversarial Machine Learning
• Supervisors: Dr. Wenjie Ruan; Prof. Jonathan Fieldsend
• Later transferred to the University of Liverpool

Beijing University of Posts and Telecommunications & Queen Mary University of London, B.Eng. and B.Management (Sep 2015 – Jun 2020)

• Major: E-Commerce Engineering and Law (Joint Program)
• GPA: 88.24/100 (Rank 5/171, Top 3%)
• TOEFL: 104 (Speaking: 25); GRE: 329 (V: 159, Q: 170)

Research and Work Experience

Chalmers University of Technology, Assistant Researcher (Aug 2025 – Present)

• Supervisors: Prof. Chih-Hong Cheng; Prof. Francisco Gomes
• Worked on the EU RobustifAI project (Trustworthy Gen-AI) with collaborators across 10+ European institutions.
• Improved robustness of vision-language-action models through feature engineering and carried out systematic deployment testing on service robots (Hello Robot).
• Coordinated with cross-team members and mentored newly enrolled Ph.D. students.

The University of Edinburgh, Visiting Scholar (Dec 2024 – Mar 2025)

• Supervisor: Dr. Henry Gouk
• Research topics:
  1. Robustness verification for open-source vision-language models.
  2. Reducing sample complexity in black-box probabilistic verification.

University of Liverpool, Research Assistant (Mar 2024 – Dec 2024)

• Supervisor: Prof. Xiaowei Huang
• Conducted cybersecurity defense research based on graph neural networks and Transformers.

Samsung Research China, Assistant Researcher (Jul 2020 – May 2021)

• Supervisors: Dr. Li Zuo; Mr. Changwei Wang
• Studied inverse rendering and relighting for portrait images, including synthetic-data-based solutions for missing real-world illumination labels.
• Used ResNet and U-Net to propagate high-level information and encode illumination representations at the bottleneck.

University of Maryland, Summer Research Intern (Aug 2019 – Feb 2020)

• Supervisor: Prof. Furong Huang
• Built a PAC-MDP method for multitask reinforcement learning across heterogeneous state/action spaces without pre-defined task mappings.
• Outcome published at AAAI 2021.

State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Research Intern (Nov 2018 – Apr 2019)

• Supervisor: Prof. Kunfeng Wang
• Investigated and implemented SSD, YOLO, and GAN models in TensorFlow, and explored performance improvements.
• Outcome published at PRCV 2019.

Publications

Please see the dedicated Publications page for the complete and categorized list.