Welcome
I am a Machine Learning Engineer at Apple/AIML, where I primarily focus on query resolution for Apple Siri, including suggestion and recommendation. I earned my Ph.D. in Computer Science from Columbia University, working with Prof. Zhou Yu. I was also a member of the Natural Language Processing (NLP) Group. My research mainly focused on natural language generation and conversational AI. Particularly, I was interested in building task-oriented dialogue systems with limited resources. Prior to Columbia University, I received my B.S. in Physics from Nanjing University and M.S. in Electrial and Computer Engineering from Johns Hopkins University, working with Prof. Sanjeev Khudanpur and Prof. Daniel Povey.
For more details, please see my full CV.
News
- 11/2024: I will attend EMNLP 2024 in Miami, happy to meet and chat!
- 09/2024: Paper Consent in crisis: The rapid decline of the ai data commons accepted in Neurips 2024 (Datasets and Benchmarks Track).
- 09/2024: Paper DECOR: Improving Coherence in L2 English Writing with a Novel Benchmark for Incoherence Detection, Reasoning, and Rewriting accepted in EMNLP 2024.
- 09/2024: Paper VarBench: Robust Language Model Benchmarking Through Dynamic Variable Perturbation accepted in EMNLP 2024 Findings.
- 08/2024: I have passed my PhD Dissertation Defense Constructing Task-Oriented Dialogue Systems with Limited Resources.
- 01/2024: Paper DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI accepted in EACL 2024.