About Me
My research centers on long-horizon human–AI interaction. I design backbone frameworks and models for agentic systems that ingest streaming, multimodal inputs; manage and retrieve persistent memory; and plan and reflect over extended tasks — making AI collaborators reliable, adaptive, and self-improving.
I am currently an Applied Scientist at AWS (Agentic AI), where I lead work on intelligent LLM routing for Amazon Bedrock and vision language action models.
Previously, I earned my Ph.D. in Electrical Engineering from Yale University, advised by Prof. Leandros Tassiulas, where my research focused on networking and distributed learning. I completed a B.Eng. in Optoelectronics at Zhejiang University (ranked 2/124) in the Advanced Honor Class of Engineering (ACEE) at the Chu Kochen Honors College, and spent a year on exchange at HKU with research internships at CUHK and UIUC. I have also interned at Microsoft, IBM, and Nokia Bell Labs.
News
- Sep 2025 — IPR is accepted to EMNLP Industry Track, connect me virtually in Suzhou!
- Sep 2025 — TRACE, HypLoR, HELM accepted to NeurIPS, see you in San Diego!
- Aug 2025 — Two papers are accepted to EMNLP
- Jun 2025 — MindLLM accepted to ICML
- Oct 2024 — D-Edit is accepted to AAAI
- Sep 2024 — Joined AWS Bedrock as an Applied Scientist
- Sep 2024 — TensAtt is accepted to EMNLP
- Sep 2024 — Two papers accepted to NeurIPS
- Jun 2024 — Last day at Yale University (as a student)
Selected Publications
Beyond Research
When I'm not developing AI systems, I work as an amateur trackmaker in my home studio with fifteen guitars, creating ambient/jazz/pop fusion with indie influences. My favortite anime are Steins Gate and Naruto; My favortite k-pop group is New Jeans; My favortite jazz player is Bill Evans; I love reading Jorge Luis Borges and Franz Kafka.