Xiaomeng Hu, Ph.D. student Department of Computer Science and Engineering The Chinese University of Hong Kong Supervisor: Professor Tsung-Yi Ho

BIOGRAPHY

I am currently a second-year Ph.D. student at the Department of Computer Science and Engineering of The Chinese University of Hong Kong under the supervision of Prof. Tsung-Yi Ho and co-supervised by Dr. Pin-Yu Chen from IBM-Research. Previously, I had the fortune to collaborate with researchers from Microsoft Research Redmond, Tsinghua University and Northeastern University. I received my B.Eng. from Northeastern Univ in July 2023.

NEWS

• Jan. 2024 Accept ACL ARR 2025 February reviewer invitations.
• Jan. 2024 Accept IJCAI 2025 reviewer invitations.
• Dec. 2024 Token Highlighter was accepted by AAAI 2025 with an oral presentation (top 4.65%)
• Sep. 2024 Accept ICLR 2025 reviewer invitations.
• Sep. 2024 Gradient Cuff was accepted by NeurIPS 2024.
• Apr. 2024 IBM Blog highlighted Gradient Cuff: What is red teaming for generative AI?
• Sep. 2023 RADAR was accepted by NeurIPS 2023.
• Jul. 2023 IBM Blog highlighted RADAR: What is AI forensics?
• Apr. 2022 P3 Ranker was accepted by SIGIR 2022.

CONTACT

• Email (Personal): greghxm [at] foxmail.com
  
• Email (Campus): greghxm [at] link.cuhk.edu.hk
  

RESEARCH INTEREST

• Large Language Models

• AI Safety

EDUCATION

• Ph.D. Computer Science and Engineering, The Chinese University of Hong Kong, Aug. 2023 -

• B.Eng. Artificial Intelligence, Northeastern University, Sep. 2019 - Jul. 2023

PUBLICATION

* denotes equal contribution.

Conference papers

• [C4] Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho. Token Highlighter: Inspecting and Mitigating Jailbreak Prompts for Large Language Models. AAAI 2025 (Oral). (paper) (demo)

• [C3] Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho. Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes. NeurIPS 2024. (paper) (demo) (code) (IBM Blog)

• [C2] Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho. RADAR: Robust AI-Text Detection via Adversarial Learning. NeurIPS 2023. (paper) (demo) (code) (IBM Blog)

• [C1] Xiaomeng Hu*, Shi Yu*, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Ge Yu. P³ Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. SIGIR 2022. (paper) (code)

EXPERIENCE

• International Business Machine, New York, USA, Aug. 2023 - Present
  Research Intern, IBM Research AI
  Topic: LLM Jailbreak
  Project: Gradient Cuff (NeurIPS 2024), Token Highlighter (AAAI 2025 (Oral))

• The Chinese University of Hong Kong, Hong Kong SAR, Feb. 2023 - Jun. 2023
  Research Intern, IDEA Lab
  Topic: AI-Text detection for LLMs
  Project: RADAR (NeurIPS 2023)
  

• Tsinghua University, Beijing, P.R. China, Aug. 2021 - Jun. 2022
  Research Intern, THU-NLP Lab
  Topic: Information Retrieval and Pretrained Language Models
  Project: P3 Ranker (SIGIR 2022)

SERVICE

TEACHING ASSISTANT

• 2023 Fall: CSCI3130 Formal Languages and Automata Theory

• 2024 Spring: ENGG1110E Problem Solving By Programming (C language)

• 2024 Fall: CSCI3130 Formal Languages and Automata Theory

• 2025 Spring: CSCI3320 Fundamentals of Machine Learning

REVIEWER

• NeurIPS 2023 (AdvML Workshop).

• ICLR 2025.

• IJCAI 2025.

• ACL ARR 2025 February.