About me

Currently, I’m the first-year Ph.D. student in School of Information Science and Technology, ShanghaiTech University. I’m advised by Prof. Kewei Tu. My researches are mainly focused on Structured Prediction (Syntactic/Semantic Dependency Parsing, Sequence Labeling (such as Named Entity Recognition), Neural Architecture Search in structured prediction), Knowledge Distillation and Multilingual NLP. I was interning at the Alibaba Damo Academy collaborating with Yong Jiang. Currently, I’m visiting Prof. Lu Wei’s lab as a visiting research fellow at SUTD.

Here are my Publications and CV.

News:

2021-05: Our paper Automated Concatenation of Embeddings for Structured Prediction was accepted to the Main Conference of ACL 2021!

2021-05: Our paper Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor was accepted to the Main Conference of ACL 2021!

2021-05: Our paper Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning was accepted to the Main Conference of ACL 2021!

2021-04: I got Excellent Intern award, which is for the top 12 outstanding interns at Alibaba Group in 2020.

2020-09: Our paper AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network was accepted to the Main Conference of EMNLP 2020!

2020-09: Our paper More Embeddings, Better Sequence Labelers? was accepted to Findings of EMNLP 2020!

2020-09: Our paper Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training was accepted to AACL 2020!

2020-04: Our paper Structure-Level Knowledge Distillation For Multilingual Sequence Labeling was accepted to ACL 2020!