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 first-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

• Sep. 2023 RADAR was accepted by NeurIPS 2023. Thank all the co-authors!.
• Aug. 2023 Embark on my new life journey at CUHK.
• Jun. 2023 Graduated from NEU. Thanks all!
• Apr. 2022 One paper was accepted by SIGIR 2022. Thank all the co-authors!

CONTACT

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

RESEARCH INTEREST

• AI Security in LLMs Era

• Natural Language Processing (NLP)

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.

Preprints

• [P1] Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho. Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes. Arxiv.2403. (paper) (demo)

Conference papers

• [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)

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

EXPERIENCE

• The Chinese University of Hong Kong, Hong Kong SAR, Feb. 2023 - Jun. 2023
  Research Assistant, IDEA Lab
  Topic: AI-text detection

• Tsinghua University, Beijing, P.R. China, Aug. 2021 - Jun. 2022
  Research Assistant, THU-NLP Lab
  Topic: Prompt learning for efficient Information Retrieval

SERVICE

TEACHING

• 2023 Fall: CSCI3130 Formal Languages and Automata Theory

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

COURSE LINKS

• ENGG5501:Foundations of Optimization

• CENG5030:Energy Efficient (Deep Neural Network) Computing

• CSCI5390:Advanced GPU Programming

• CSCI5640:Natural Language Processing