About me

Hi! I am Jie Wang (王颉), a junior undergraduate student majoring in Computer Science and Technology at the College of Computer Science & Fan-Gongxiu Honors College, Beijing University of Technology (BJUT).

I am currently a Research Assistant at the Beijing Institute of Artificial Intelligence, advised by Associate Researcher Jinduo Liu. My research focuses on Multimodal Learning, Large Language Model (LLM) Security, and Reinforcement Learning.

In the summer of 2025, I visited North Carolina State University (NCSU) as a Research Assistant under Dr. Muhammad Shahzad, where our work on WiFi-based gesture recognition won 1st Place in the Poster Symposium (1/50).

🎓 Education

Beijing University of Technology (BJUT) | Sept 2023 – June 2027 (Expected) Bachelor of Engineering in Computer Science and Technology

• Honors: Fan-Gongxiu Honors College (Outstanding 40 selected from 3000+ Students).
• Academic Standing: GPA: 4.00 / 4.00 , Rank: 1 / 60 , WAM: 95.94 / 100.
• Key Coursework: Adv. Math (100), University Physics (100), Python (99), Data Structures (98), Pattern Recognition (97).

North Carolina State University (NCSU) | July 2025 – Aug 2025 Visiting Research Assistant (Supervised by Dr. Muhammad Shahzad)

• Achievement: Developed AttentiveCSI; awarded First Place in Poster Symposium (1/50).

🔬 Research Interests

My broader research interests include:

• LLM Security & Red-teaming: Evaluating and enhancing the robustness of LLMs.
• Multimodal Perception: Integrating vision and tactile sensing for intelligent systems.
• Reinforcement Learning: Decision-making and knowledge graph reasoning.

🧠 Selected Projects

Large Language Model Security & Red-teaming

Ongoing Research

• Investigating LLM vulnerabilities under distribution shifts and designing adaptive adversarial prompting techniques.
• Drafting research for submission to top-tier AI conferences (IJCAI/AAAI).

Vision-based Tactile Perception via Multimodal Learning

Dec 2024 – June 2025 | Advisor: Prof. Jinduo Liu

• Developed VidTouch, a multimodal framework for tactile sensor image recognition.
• Proposed a lightweight MLP-based fusion module, achieving a 52% accuracy improvement over baseline methods. (Paper Under Review)

Autonomous Driving Decision-Making based on Game Theory

March 2024 – Feb 2025 | Advisor: Dr. Heng Deng

• Designed a decision-making framework for intelligent vehicles in foggy weather using mathematical models in CarSim & Simulink.
• Resulted in an Invention Patent (ID: 202510141836.1).

🏆 Selected Awards & Honors

• Best Poster Award (1st Place), U.S. GEARS Research Program @ NCSU, 2025
• XIAOMI Scholarship, 2025
• Dean’s Honors List, Fan-Gongxiu Honors Scholarship (Only 2 students selected), 2025
• Outstanding Student Honor, BJUT (Ranked 1st), 2024
• International 3rd Prize, 7th “BDStar” Innovation Competition (Joint with PKU & CUHK), 2024

🛠 Skills

• Programming: Python, C/C++, Java, MATLAB, Verilog HDL
• Frameworks & Tools: PyTorch, TensorFlow, Linux, Git, Docker, LaTeX, HuggingFace, Matplotlib

Last updated: January 2026