| Dec 2025 | Kiro autonomous agent was launched and showcased in Matt Garman’s keynote at AWS re:Invent 2025; I led the end-to-end agent evaluation and benchmark development. |
| Dec 2024 | Led the initialization and launch of the /doc feature for Amazon Q Developer, the first repository-level code documentation generation system, enabling analysis of codebases far exceeding LLM’s context windows; showcased in Matt Garman’s keynote at AWS re:Invent 2024. |
| May 2024 | Joined AWS AI Labs as an Applied Scientist, working on LLM for coding. |
| Feb 2024 | CREAD, a classification-restoration framework for long-tail user watch-time prediction, was accepted at AAAI 2024 and deployed at scale in the Kwai App. |
| Jul 2023 | Earned a Ph.D. in Applied Mathematics from Peking University, with a dissertation on deep equilibrium models for context modeling. |
| Feb 2023 | Our paper NERD, on infinitely deep Transformers for image restoration, was accepted to IEEE Transactions on Image Processing (TIP). |
| Nov 2022 | Our paper VEQ, the first to scale implicit GNNs to large-scale graphs, was accepted at IEEE BigData 2022. |
| May 2022 | Our paper GIND, an optimization-induced implicit GNN enabling infinite-hop message passing, was accepted as a Spotlight at ICML 2022. |