👋 I am currently pursuing an M.S. in Electrical and Computer Engineering at the University of Illinois Urbana-Champaign, where I started in Fall 2025 and expect to graduate in May 2027. Prior to this, I earned dual bachelor's degrees in Electrical and Computer Engineering from the University of Illinois Urbana-Champaign and Zhejiang University in 2025. I am actively seeking Ph.D. opportunities in machine learning and large language models. Feel free to look at my CV!

I am currently interested in LLM agents, LLM post-training, trustworthy LLMs, and LLMs for engineering applications. My recent work spans agent design, post-training, safety, reasoning, and engineering-oriented adaptation for large language models.

• LLM agents for multi-turn planning, reasoning, and strategic interaction.
• LLM post-training and alignment, including supervised fine-tuning, reinforcement learning, reward design, and domain-specific adaptation.
• Trustworthy and engineering-oriented LLMs, including safety, hallucination mitigation, and applications to various engineering tasks.

• University of Illinois at Urbana-Champaign
  Aug. 2025 - May. 2027 (expected)
  M.S. in Electrical and Computer Engineering
• Zhejiang University - University of Illinois Urbana-Champaign
  Aug. 2021 - Jun. 2025
  Dual Bachelor's Degrees in Electrical and Computer Engineering (UIUC GPA: 4.00/4.00, ZJU GPA: 3.97/4.00)

• 01/2026 Became a Teaching Assistant for CS446/ECE449 (Machine Learning) at UIUC.
• 08/2025 My paper MAC-Tuning was accepted to EMNLP 2025 Main.
• 08/2025 Started my M.S. in Electrical and Computer Engineering at UIUC.
• 02/2025 Became a Teaching Assistant for MATH285 (Introduction to Differential Equations) at ZJUI.
• 09/2024 Became a Teaching Assistant for MATH241 (Calculus III) at ZJUI.
• 02/2024 Became a Course Assistant for ECE391 (Computer System Engineering) at UIUC.

Here are my recent publications. Please see Research for more information.
(* denotes equal contribution)

• Junsheng Huang, Yifan Sun, Zhouer Zhang, Ning Wei, Yening Liu, Michael Molter, Pavan Kumar Hanumolu, Elyse Rosenbaum, Bin Hu, Huan Zhang. SAFTAC: Simulation-Augmented Fine-Tuning of Open-Source LLMs for Analog Circuit Design. Manuscript under review.
• Junsheng Huang, Zhitao He, Sandeep Polisetty, May Fung. MAC-Tuning: LLM Multi-Compositional Problem Reasoning with Enhanced Knowledge Boundary Awareness. Accepted to EMNLP 2025 Main.
• Jason Vega, Junsheng Huang*, Gaokai Zhang*, Hangoo Kang*, Minjia Zhang, Gagandeep Singh. Stochastic Monkeys at Play: Random Augmentations Cheaply Break LLM Safety Alignment.

Please see my research for more information.

Please click here for more information.

• CS446/ECE449: Machine Learning, Teaching Assistant
  Spring 2026
• MATH285: Introduction to Differential Equations, Teaching Assistant
  Spring 2025
• MATH241: Calculus III, Teaching Assistant
  Fall 2024
• ECE391: Computer Systems Engineering, Course Assistant
  Spring 2024

Feel free to drop me an email if you're interested in collaborating with me. Please see my research for details.

Beyond research, I enjoy basketball, table tennis, billiards, and boxing.