Yao Wan 萬瑤
June 14, 2022 Our paper titled "You See What I Want You to See: Poisoning Vulnerabilities in Neural Code Search" has been accepted by ESEC/FSE 2022. Congratulations to Shijie!- Feb 24, 2022 Our two papers on source code summarization and generation have been accepted by ACL 2022 . Congratulations to Juncai and Xin!
- Jan 25, 2022 Our paper titled "NaturalCC: An Open-Source Toolkit for Code Intelligence" has been accepted by ICSE 2022 Demo Track.
- Dec 31, 2021 Our paper titled "FedBERT: When Federated Learning Meets Pre-Training" has been accepted by TIST 2022. Congratulations to Yishu!
- Dec 17, 2021 Our paper titled "Cross-Language Binary-Source Code Matching with Intermediate Representations" has been accepted by SANER 2022. Congratulations to Yi!
- Dec 3, 2021 Our paper titled "What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code" has been accepted by ICSE 2022. Congratulations to Wei!
- Dec 1, 2021 Our paper titled "DANets: Deep Abstract Networks for Tabular Data Processing" has been accepted by AAAI 2022. Congratulations to Jintai!
- Nov 8, 2021 Our paper titled "XCode: Towards Cross-Language Code Representation with Large-Scale Pre-Training" has been accepted by TOSEM 2021 . Congratulations to Zehao!
- Oct 20, 2021 Our paper titled "Multi-Triage: A Multi-Task Learning Framework for Bug Triage" has been accepted by JSS 2021 . Congratulations to Thazin!
- Sep 19, 2021 Our paper titled "Modeling Sequential Listening Behaviors with Attentive Temporal Point Process for Next and Next New Music Recommendation" has been accepted by IEEE TMM 2021 . Congratulations to Dongjing!
- Aug 26, 2021 Three papers collaborated with UIC, ZJU are accepted by EMNLP 2021 . Congratulations to Ye, Wenting, and Haiwen!
- Aug 18, 2021 Received two findings from Tencent and NSFC, respectively. Thanks!
- May 6, 2021 Our paper titled "Disentangled Code Representation Learning for Multiple Programming Languages" has been accepted by ACL-IJCNLP 2021 . Congratulations to Jingfeng!
- Jan 12, 2021 Our paper titled "Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation" has been accepted by EACL 2021. Congratulations to Ye!
- Dec 2, 2020 Our paper titled "KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning" has been accepted by AAAI 2021. Congratulations to Ye!
- Nov 28, 2020 Our toolkit NaturalCC has been released in GitHub, which can be accessed via the Homepage.
About Me
I am currently a Lecturer (a.k.a Assistant Professor in USA) with the CGCL/SCTS/BDTS Lab, College of Compter Science and Technology at Huazhong University of Science and Technology (HUST), Wuhan, China. Prior to that, I got my Ph.D degree from Zhejiang University in Dec., 2019, under the supervision of Prof. Jian Wu and Prof. Zhou Zhao. I am also working closely with Prof. Yulei Sui from University of Technology Sydney. My research interests are mainly focusing on the synergy between Artificial Intelligence (AI) and Software Engineering (a.k.a ASE), especially on natural language processing, programming language analysis, data mining and machine learning.
During my Ph.D life, I am fortunate to have the following three wonderful experiences hosted by three distinguished professors who have provided me much support, and I am also happy to meet with many wonderful friends and collaborators during these experiences. I have been visiting Shenzhen Research Institute, Chinese University of Hong Kong, China (working with Prof. Zibin Zheng) in 2014, University of Technology Sydney, Australia (working with Prof. Guandong Xu) in 2016, and University of Illinois at Chicago, USA (working with Prof. Philip S. Yu) in 2018.
(I am looking for highly-motivated graduate and under-graduate students to work with me. If interested, please drop me a message by email.)
Research Highlights
NaturalCC is a sequence modeling toolkit that allows researchers and developers to train custom models for many software engineering tasks, e.g., code summarization, code generation, code retrieval, code clone detection, and so on. Our vision is to bridge the gap between programming language and natural language through some machine learning techniques. [arXiv'20, ICSE'22, ASE'18, ASE'19, TSE'20, ACL'21, EMNLP'21, TOSEM'21]
Selected Publications
ESEC/FSE 2022. The 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering.
PDF CCF-A
ICSE 2022 Demo Track.
PDF arXiv Code Homepage CCF-A
ICSE 2022. The 44th ACM/IEEE International Conference on Software Engineering
PDF CCF-A
ACL 2022. The 60th Annual Meeting of the Association for Computational Linguistics
PDF CCF-A
Findings of ACL 2022. The 60th Annual Meeting of the Association for Computational Linguistics
PDF CCF-A
TOSEM 2021. ACM Transactions on Software Engineering and Methodology
PDF CCF-A
Findings of ACL 2021. The 59th Annual Meeting of the Association for Computational Linguistics
PDF CCF-A
Confenrence PC/Reviewer