I'm broadly interested in researching language technologies to build interactive (multimodal) language agents (e.g., virtual assistants, chatbots, robots) that are socially-aware, and able to assist humans across tasks and environments, including those deployed online or grounded in physical environments.
I received my undergraduate degree at the University of Michigan in computer science and data science, where I was fortunate to work with Professor David Jurgens, Daniel Romero, Rada Mihalcea, and Joyce Chai as a research assistant.
Previously, I was a research intern at the Data & AI team of Microsoft Cloud and AI Division last summer, where I build NLP models to improve the quality of generated unit test cases for C# by introducing test case initialization contexts. I was a natural language processing intern at Bytedance AI Lab and a software engineering intern at Tencent.
December 2021: I'm pleased to receive honorable mention for the Outstanding Undergraduate Researcher Awards!
October 2021: I'm honored to receive the EMNLP 2021 Student Travel Award! I will also be a Student Volunteer at EMNLP 2021, See y'all in Punta Cana!
August 2021: One paper is accepted to the Findings of EMNLP 2021 on building a gif-based dialog system! You can even install this bot to your Slack channel following instruction here.
POTATO: The Portable Text Annotation Tool
Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, Naitian Zhou, Jackson Sargent, Apostolos Dedeloudis, David Jurgens
Proceedings of the 2022 Conference on Empirical Methods on Natural Language Processing (EMNLP'22 demo)
Paper (forthcoming) Code
An Animated Picture Says at Least a Thousand Words: Selecting Gif-based Replies in Multimodal
Xingyao Wang, David Jurgens
Proceedings of the Findings of the 2021 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP).
Paper Code Presentation video Poster Twitter Thread Imgur Post Slack Gif Bot
Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters
Shaohuai Shi*, Xianhao Zhou*, Shutao Song*, Xingyao Wang, Zilin Zhu, Xue Huang, Xinan Jiang, Feihu Zhou, Zhenyu Guo, Liqiang Xie, Rui Lan, Xianbin Ouyang, Yan Zhang, Jieqian Wei, Jing Gong, Weiliang Lin, Ping Gao, Peng Meng, Xiaomin Xu, Chenyang Guo, Bo Yang, Zhibo Chen, Yongjian Wu, Xiaowen Chu
Proceedings of Machine Learning and Systems (MLSys), 2021.
Microsoft (Data & AI team @ Cloud and AI division)
EECS 492: Introduction to Artificial Intelligence
University of Michigan—Ann Arbor, MI
Software Engineering Intern
Tencent (High-performance Deep Learning)
Shenzhen, Guangdong, China
Honorable Mention, Computing Research Association Outstanding Undergraduate Researcher Award, 2022
EMNLP Student Travel Award (5 out of 94), 2021
James B. Angell Scholar, University of Michigan, 2021
University Honors, University of Michigan, 2017—2021
Peiyang Chunhui Scholarship, Tianjin University, 2018
Natural Language Processing, Information Retrieval, Machine Learning, Theoretical Statistics, Web System, Artificial Intelligence, Probability, Data Structure and Algorithms, Computer Organization, Operating System.
Many thanks to Sky Wang for the site template.