Pei (Patrick) Chen

Ph.D. in Computer Science

Texas A&M University

Welcome!

I am a fifth-year Ph.D. student supervised by Prof. Ruihong Huang in the TAMU NLP group, Department of Computer Science and Engineering at Texas A&M University. I enjoy doing research in the fields of Natural Language Processing and Machine/Deep Learning and applying machine learning and deep learning models to practical NLP problems and applications. I am expected to graduate in December, 2023 and actively looking for a full-time position.

Email: chenpei.net@gmail.com
Links: GitHub LinkedIn Google Scholar
Office: 330 Peterson, College Station, TX 77843-3112, USA.

Interests

Large Language Model Prompting
Language Model Pretraining
Information Extraction

Education

Ph.D. in Computer Science, 2019 - 2023.12 (Expected)

Texas A&M University
MS in Finance, 2016 - 2018

Southwestern University of Finance and Economics
B.Eng. in Simulation Engineering, 2010 - 2014

National University of Defense Technology

News

Sep/23 One paper accepted to NeurIPS-2023 as a spotlight. 👋
Dec/22 One paper accepted to ICDM-2022, KG workshop. ✨
Aug/22 Serve as Reviewer for NLPCC-22 and EMNLP-22.
April/22 One long paper accepted to NAACL-2022. 👋
Serve as Reviewer for ARR Nov 2021, Jan 2022.

Publications

Pei (Patrick) Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis (2023). HYTREL: Hypergraph-enhanced Tabular Data Representation Learning. NeurIPS, 2023 (spotlight).

Cite arXiv code

Pei (Patrick) Chen, Wenlin Yao, Hongming Zhang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen (2023). ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion. ICDMW 2022.

PDF Cite Dataset

Pei (Patrick) Chen, Haotian Xu, Cheng Zhang, Ruihong Huang (2022). Crossroads, Buildings and Neighborhoods: A Dataset for Fine-grained Location Recognition. NAACL 2022, long paper, acceptance rate: 21.96%.

PDF Cite Code Dataset

Pei (Patrick) Chen, Haibo Ding, Jun Araki, Ruihong Huang (2021). Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition. ACL 2021, short paper, acceptance rate: 21.2%.

PDF Cite Code Dataset

Pei (Patrick) Chen, Kang Liu, Yubo Chen, Taifeng Wang, Jun Zhao (2021). Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents. EACL 2021, short paper, acceptance rate: 24.7%.

PDF Cite Code Dataset

Pei (Patrick) Chen, Hang Yang, Kang Liu, Ruihong Huang, Yubo Chen, Taifeng Wang, Jun Zhao (2020). Reconstructing Event Regions for Event Extraction via Graph Attention Networks. AACL 2020, long paper, acceptance rate: 28.3%.

PDF Cite Dataset