Xinliang (Frederick) Zhang

Office number: 3921

Bob and Betty Beyster Building,

Ann Arbor, MI 48109

Hi there, I am Xinliang (Frederick) Zhang. I am from Hangzhou. My Chinese name is 张心亮. Usually, I go by Frederick.

I am a 3rd-year CSE Ph.D. candidate at University of Michigan (UM). My advisor is Dr. Lu Wang and I am a member of LAUNCH Lab. I am also affiliated with Michigan AI Lab.

I received my 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 B.Eng. degree from Sichuan University (SCU) in Industrial Engineering (IE). I was fortunate to have Dr. Huan Sun as my advisor at OSU and proud of being part of SunLab. I was also privileged to work closely with Dr. Marie-Catherine de Marneffe.

I will be a research scientist intern at Adobe Research, mentored by Dr. Victor Bursztyn. I spent some fun time as a reserach scientist intern at Bloomberg AI (Summer 2023), mentored by Dr. Alakananda Vempala and Temma Choji.

My reserch interests lie in the fields of Natural Language Processing (NLP), Deep Learning (DL), Machine Learning (ML) and Computational Social Science (CSS). Meanwhile, I am a regular PC member/reviewer for NLP venues (ACL, EMNLP, NAACL, COLING and ARR).

I primarily work on Structural Learning and Multi-granularity Information Extraction, as well as (Large) Language Model pretraining and prompting.
I used to work on Natural Language Inference, Information Retrieval, and Question Answering & Generation as an undergraduate researcher.
I am also interested in investigating Annotation Disagreements, and NLP applications for Social Science and Healthcare (Clinical NLP).

I was awarded Outstanding Reviewer at NAACL 2022. My work received Best Paper Award at BIBM 2021.

My broad personal interests extend to Optimization, Applied Mathematics, Statistics and Linguistics. I am passionate about language learning as well, especially East Asian languages. Explore more interests now!

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

news (news archive)

May 13, 2024	Pleased to start my 2nd PhD internship at Adobe Research. I will work with Dr. Victor Bursztyn.
Mar 13, 2024	Our paper MOKA: Moral Knowledge Augmentation for Moral Event Extraction got accepted to NAACL 2024! Thanks to my advisor and collaborators. Paper, codes and dataset will be available soon. I can’t wait to see you guys in Mexico City this summer!
Nov 16, 2023	Check out my recent two pre-print paper: MOKA: Moral Knowledge Augmentation for Moral Event Extraction (We leverage retrival augmentation to embrace and integrate moral knowledge at multiple granularities: lexical- and scenario-levels) and ULTRA: Unleash LLM’s Potential for Event Argument Extraction (We unleash LLM’s potential cost-effectively through hierarchical modeling and self-refinement by means of pairwise comparison and learning from errors)!
Oct 7, 2023	Our paper All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison got accepted to EMNLP 2023! Congratulations to my collaborators and advisor. Paper, codes and dataset will be available soon.
Oct 7, 2023	Two paper got accepted to Findings of EMNLP 2023, Unveiling Partisan and Counter-Partisan Events in News Reporting and You Are What You Annotate: Towards Better Models through Annotator Representations! Congratulations to my collaborators and advisor. Paper, codes and dataset will be available soon.
May 22, 2023	Pleased to start my 1st PhD internship at Bloomberg AI. I will work with Dr. Alakananda Vempala (mentor) and Temma Choji (supervisor).
Feb 3, 2023	I have passed my Prelim and been advanced to candidacy.
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 19, 2022	Start serving as AI Tea Coordinator at Michigan AI Lab.
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.