| CARVIEW |
Select Language
HTTP/2 200
server: GitHub.com
content-type: text/html; charset=utf-8
last-modified: Mon, 29 Dec 2025 08:53:19 GMT
access-control-allow-origin: *
strict-transport-security: max-age=31556952
etag: W/"6952417f-31b3"
expires: Mon, 29 Dec 2025 14:56:45 GMT
cache-control: max-age=600
content-encoding: gzip
x-proxy-cache: MISS
x-github-request-id: 24EA:2685F2:8E33EA:9FB322:69529452
accept-ranges: bytes
age: 0
date: Mon, 29 Dec 2025 14:46:45 GMT
via: 1.1 varnish
x-served-by: cache-bom-vanm7210034-BOM
x-cache: MISS
x-cache-hits: 0
x-timer: S1767019605.104826,VS0,VE205
vary: Accept-Encoding
x-fastly-request-id: 570b14ae8377658b71faf35b747a94d1370767ef
content-length: 4356
Sean Du - Homepage
Nanyang Technological University, Singapore
Email: xdu66 (at) wisc.edu, xuefengdu1 (at) gmail.com, radiolab.ntu.recruiting (at) gmail.com.
NTU email: xuefeng.du (at) ntu.edu.sg.
Office: N3.2-01-25
Google Scholar | LinkedIn Twitter Github
[CV] [Research Statement] [Teaching Statement] [Advising Statement]
Sean Du
Assistant Professor
College of Computing and Data Science (CCDS),Nanyang Technological University, Singapore
Email: xdu66 (at) wisc.edu, xuefengdu1 (at) gmail.com, radiolab.ntu.recruiting (at) gmail.com.
NTU email: xuefeng.du (at) ntu.edu.sg.
Office: N3.2-01-25
Google Scholar | LinkedIn Twitter Github
[CV] [Research Statement] [Teaching Statement] [Advising Statement]
About Me
Short Bio. Hi! I am an Assistant Professor at College of Computing and Data Science (CCDS), Nanyang Technological University, Singapore. I obtained my PhD degree in Computer Sciences at University of Wisconsin-Madison (UW-Madison) advised by Prof. Sharon Li. Previously, I was an undergraduate student at Xi'an Jiaotong University (XJTU) majoring in electronic engineering.
Research Interest. My current research focus is to develop theory and algorithms for reliable machine learning (ML), foundation model reliability, and related applications, specifically I work on:
[Radio Lab Recruiting]. I am looking for self-motivated Research Assistants, Visiting Students and Interns in the fall! Please check the Recruitment Page for details. For PhD applicants, the NTU CCDS recruits students at Spring and Fall semesters per year, please mind the deadlines (e.g. 7/31 for Spring'26 intake and 1/31 for Fall'26 intake) and check the website for more information, directly apply here and mention my name in the system. For the other positions, there are no strict deadlines but depend on the Lab's availability.
Before you email me, I strongly suggest reading my Advising Statement to get to know me and the Lab.
- Out-of-distribution (OOD) research: designing adaptive and interpretable learning principles that help ML models detect and generalize on OOD samples, such as semantic/covariate shifts, adversarial and noisy samples.
- Reliability of foundation models: understanding the blindspots of Large Language Models (LLMs) and Multimodal LLMs through uncertainty estimation, such as model hallucination detection and mitigation.
- Security of foundation models: Exploring how foundation models can be strengthened against emerging threats, including prompt injection, jailbreak attacks, and distributional vulnerabilities.
- Other interested topics: LLM alignment, Agentic AI.
- Interdisciplinary research: Biometrics, AI-aided cryo-microscopy/protein structural analysis.
Before you email me, I strongly suggest reading my Advising Statement to get to know me and the Lab.
Due to the large volume of interest and limited availability, I am currently prioritizing applicants with strong ML research experience, ideally with publications or relevant project experience in theory and algorithms for LLM safety. Please direct all emails to radiolab.ntu.recruiting (at) gmail.com!
News
- [11/25/2025] Our lab receives the Google Cloud Research Credits and NSCC Young Investigator Seed Project Award.
- [11/4/2025] My research has been featured at AAAI-26 New Faculty Highlights Program.
- [9/15/2025] I start my tenure track at NTU CCDS!
- [5/2025] I defended my PhD thesis !
- [4/2025] My research is featured at the Wisconsin Engineer Magazine!
- [1/2025] Receive the CS Ivanisevic Award in UW-Madison CS, awarding to one student in the department with research excellence.
- [12/2024] Co-organize the special session of Responsible Foundation Models in the Wild at IJCNN 2025.
- [9/25/2024] One paper on LLM hallucination is accepted to NeurIPS 2024 as spotlight presentation.
- [9/9/2024] Honored to get selected as Rising Stars in Data Science 2024 (worldwide 30 recipients)!
- [6/10/2024] Start my internship in Microsoft Research Redmond working on VLM reliability!
- [5/1/2024] One paper is accepted to ICML 2024.
- [1/16/2024] One paper is accepted to ICLR 2024.
- [2/11/2023] Received the Jane Street Graduate Research Fellowship (6 selected out of 600).
- [3/1/2022] One paper is accepted to CVPR 2022 as oral presentation.
- [1/15/2021] Join UW-Madison as a PhD student!!
Teaching
- CS540, UW-Madison: Intro to AI, Spring 2021.
- CS762, UW-Madison: Advanced Deep Learning, Fall 2022.
- SC5005, NTU: NLP, LLM and Applications, Spring 2026.
Education
-
Ph.D. in CS. 2020 - 2025
University of Wisconsin–Madison (UW-Madison), Madison, WI, USA