Hi! I am currently a PhD student at North Carolina State University, under the guidance of Prof. JUNG-EUN KIM. Previously, I worked as a machine learning scientist in Moffett AI, and was guided by the chief scientist and co-founder of Moffett.AI: Ian En-Hsu Yen. Before that, I got my master's degree from the CS department of San Jose State University and was advised by Prof. Mark Stamp. I earned my bachelor's degree from Shandong University.
Currently, I am a Research Scientist Intern at the TikTok Foundations & Intelligence Service (TNS) team for Summer 2026, after starting the summer with the NLP Trust & Safety (TNS) team. Previously, in Summer 2025, I interned with TikTok Responsible Recommendation Systems (RRS) team, where I worked on safety-aware recommendation for multimodal LLM.
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My research centers on Secret Alignment — covert alignment behaviors in large language models and the agents built on them — as the technical foundation for their secure and personalized deployment. I build, understand, evaluate, and defend against these behaviors in the models and agents that increasingly act on our behalf.
What is Secret Alignment? Introduced by me and Prof. Jung-Eun Kim in early 2025, Secret Alignment describes a class of hidden, condition-dependent behaviors in aligned models — the model's response is systematically different under a specific trigger, context, or credential, while remaining indistinguishable from a normally aligned model to any observer without that trigger.
Because the same mechanism can serve legitimate control or hostile subversion, Secret Alignment is fundamentally dual-use:
- Backdoor attacks
- Multi-persona injection (attacker trigger)
- Sandbagging on capability / safety evaluations
- Deceptive alignment
- Steganographic collusion between agents
- Authentication of model origin
- Copyright / provenance watermarking
- Personalization (verified user)
- Access control & permission gating
- Kill switch / emergency shutdown
Whether Secret Alignment serves defense or attack depends on who holds the trigger — which is why my work treats it as a first-class object of study and evaluation.
- [July, 2026] 📝 Invited to serve as Reviewer for AAAI 2027
- [June, 2026] 🔄 Transitioned to the Foundations & Intelligence Service (TNS) team at TikTok
- [June, 2026] 📝 Invited to serve as Reviewer for TMLR
- [May, 2026] 🥇 Selected as Gold Reviewer of ICML 2026
- [May, 2026] 💼 Start a research internship program with the NLP Trust & Safety (TNS) team at TikTok
- [April, 2026] 📝 Invited to serve as Reviewer for NeurIPS 2026
- [April, 2026] 🎉 One paper is accepted by ICML 2026
- [March, 2026] 📝 serve as Reviewer for ICML 2026
- [Jan, 2026] 🎉 Two papers are accepted by ICLR 2026
- [Oct, 2025] 🎓 Pass PhD written preliminary exam at NCSU
- [May–Aug, 2025] 💼 Start a research internship program with the Responsible Recommendation Systems (RRS) team at TikTok
- [May, 2025] 🎉 One paper is accepted by ICML 2025
- [Feb, 2025] 🎉 One paper is accepted by CPAL 2025
- [Jul, 2024] 🤝 Start research under the guidance of Prof. Jung-Eun Kim ----------------------------------------
- [Dec, 2023] 🎤 One paper selected as Oral of FL@FM-NeurIPS 2023
- [Nov, 2023] 🛡️ Initiated the Shadow-LLM-Guardians Group: https://github.com/Shadow-LLM
- [Oct, 2023] 🎉 Two papers are accepted by EMNLP 2023
- [Aug, 2023] 🎓 Start PhD student life at NC State University; Serve as official affiliation of New York University ----------------------------------------
- [Apr, 2023] 📢 Publicity Chair of the International Workshop onResource-Efficient Learning for Knowledge Discovery @KDD 2023.
- [Oct, 2022] 📢 Publicity Chair of the first workshop on DL-Hardware Co-Design for AI Acceleration @AAAI 2023.
- [Sep, 2022] Participated in AI Hardware Summit 2022.
- [Sep, 2022] 🏆 Moffett S30 Accelerator wins MLPerf V2.1
- 2023.08-2024.05, NCSU, Teachin Assistant
- 2024.06~present, NCSU, Reserach Assistant