Xinliang (Frederick) Zhang | 心亮

Ph.D. student in Computer Science and Engineering, Department of EECS, University of Michigan.

Office number: 3921

Bob and Betty Beyster Building,

Ann Arbor, MI 48109

Hi there, I am Xinliang (Frederick) Zhang. I am from Hangzhou, P.R.China. My Chinese name is 张心亮 or Xinliang Zhang in Pinyin.
Usually, I go by Frederick in English or ジャン in Japanese.

I am a 1st 2nd-year Ph.D. student in Computer Science & Engineering (CSE) at University of Michigan (UM). My advisor is Dr. Lu Wang and I am a member of LAUNCH Group. I am also affiliated with Michigan AI Lab. I also have interdisciplinary collaborations with Dr. Nick Beauchamp.

Previously, I obtianed my dual Bachelor of Science (B.S.) degrees from the Ohio State University (OSU) in Computer Science & Engineering (CSE), Industrial & Systems Engineering (ISE) and Math (Minor). I also obtianed my Bachelor of Engineering (B.Eng.) degree from Sichuan University (SCU) in Industrial Engineering (IE). During my stay at OSU, I was fortunate to have Dr. Huan Sun as my advisor and proud of being part of SunLab. I was also privileged to work closely with Dr. Marie-Catherine de Marneffe.

My reserch interests lie in the fields of Natural Language Processing (NLP), Deep Learning (DL), Machine Learning (ML) and Computational Social Science (CSS). Particularly, I have been working on Narrative Understanding, Stance Detection, Rationale Extraction, Multi-Modality, Large Language Models, Natural Language Inference, Information Retrieval, and Question Answering & Generation. I am also interested in NLP applications for Media Analysis and Healthcare (Clinical NLP).
I was awarded Outstanding Reviewer at NAACL 2022. My work received Best Paper Award at BIBM 2021.

I am also broadly interested in Optimization, Applied Mathematics, Statistics and Linguistics. I am passionate about language learning as well, especially Eastern Asian languages. Explore more interests now!

You may reach out to me at xlfzhang@umich.edu.

I am actively looking for an NLP research internship position in 2023 Summer.

news (news archive)

Oct 6, 2022 Attend Text As Data (TADA) 2022 @NYC. I present our paper SEESAW (A Graph-Augmented Generative Entity-to-Entity Stance Detection Framework) at the oral session! Thanks for the Travel Grant to support my travel!
Oct 6, 2022 Our paper Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation got accepted to EMNLP 2022! Thanks to my advisor and collaborator. Paper, codes and dataset will be available soon.
Oct 6, 2022 Our paper Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis got accepted to EMNLP 2022! Congratulations to my mentee, collaborator and advisor. Paper, codes and dataset will be available soon.
Sep 9, 2022 Our POLITICS demo is available online now! Feel free to apply our demo to measure the ideology or the stance of your text.
Jul 10, 2022 Attend NAACL 2022 @Seattle, my first in-person conference experience. We present our paper POLITICS at the poster session! Feel free to use our tool.
Jul 8, 2022 Awarded Outstanding Reviewer at NAACL 2022!
Apr 7, 2022 Our paper POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection got accepted to Findings of NAACL 2022! Thanks to my advisor and collaborators. Paper and codes are available online, and data is available upon request. POLITICS is downloadable from Huggingface.
Dec 10, 2021 Our paper CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering has won the Best Paper Award at IEEE BIBM 2021. Fun fact: it’s my first-ever NLP research project!
Oct 23, 2021 Our paper CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering got accepted to IEEE BIBM 2021! Thanks to my advisor and collaborators. Paper and dataset are available online. Codes will be available soon.
Sep 5, 2021 Arrive at Ann Arbor. Start my Ph.D. journey at University of Michigan.
Aug 25, 2021 Our paper COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval got accepted to EMNLP 2021! Thanks to my advisor and collaborators. Paper and dataset are available online.
Apr 15, 2021 Delighted to join LAUNCH Group and work with Dr. Lu Wang to continue my study in NLP.
Mar 25, 2021 Awarded Undergraduate Research Award (Liu Scholarship) by CSE Department at OSU! (video)
Mar 24, 2021 Awarded Outstanding University Graduate of Sichuan Province by Education Department of Sichuan Province!
Mar 10, 2021 Our paper Identifying Inherent Disagreement in Natural Language Inference got accepted to NAACL 2021! Thanks to my mentor. Paper and codes are available online.
Dec 30, 2020 Reported by OSU CSE department for receiving CRA Outstanding Undergraduate Researcher Award!
Dec 15, 2020 Awarded Honorable Mention of Outstanding Undergraduate Researcher Award 2021 by Computing Research Association (CRA)!