Xueqing Wu

Xueqing Wu

PhD student at UCLA

I am a first-year PhD student at UCLA co-advised by Kai-Wei Chang and Nanyun (Violet) Peng. Prior to that, I got my M.S. degree from UIUC in 2023 supervised by Heng Ji, and my B.S. degree from USTC in 2020. I have work experience in IBM Research, Bytedance AI Lab and MSRA.

My research interests lie in the field of Natural Language Processing (NLP). More specifically, I’m interested in enhancing reasoning capability of NLP systems, especially multi-modal reasoning and tool use capabilities.

In the past I also have research experience in text generation and information extraction.

Education

University of California, Los Angeles, 09/2023 - present

  • Ph.D. in Computer Science. Advisor: Kai-Wei Chang, Nanyun (Violet) Peng

University of Illinois Urbana-Champaign, 08/2021 - 05/2023

  • M.S. in Computer Science. Advisor: Heng Ji

University of Science and Technology, 09/2016 - 06/2020

  • B.S. in Electronic Engineering and Information Science

Publications

  • Michael Glass, Xueqing Wu, Ankita Rajaram Naik, Gaetano Rossiello, Alfio Gliozzo, Retrieval-Based Transformer for Table Augmentation, ACL Findings. 2023. Link, Code
  • Xueqing Wu*, Sha (Zoey) Li*, Heng Ji, OpenPI-C: A Better Benchmark and Stronger Baseline for Open-Vocabulary State Tracking, ACL Findings (short paper). 2023. Link, Code
  • Xueqing Wu, Kung-Hsiang Huang, Yi Fung, Heng Ji, Cross-document Misinformation Detection based on Event Graph Reasoning, NAACL. 2022. Link, Code
  • Xueqing Wu, Jiacheng Zhang, Hang Li, Text-to-Table: A New Way of Information Extraction, ACL. 2022. Link, Code
  • Xueqing Wu, Lewen Wang, Yingce Xia, Weiqing Liu, Lijun Wu, Shufang Xie, Tao Qin, Tie-Yan Liu, Temporally Correlated Task Scheduling for Sequence Learning, ICML. 2021. Link, Code
  • Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin, A Study of BERT for Context-Aware Neural Machine Translation, ACML journal track. 2021. Link, Code
  • Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Yang Fan, Tao Qin, mixSeq: A Simple Data Augmentation Method for Neural Machine Translation, IWSLT Workshop. 2021. Link
  • Yixing Zhu, Jun Du, Xueqing Wu, Adaptive Period Embedding for Representing Oriented Objects in Aerial Images, IEEE Transactions on Geoscience and Remote Sensing. 2020. Link

Preprints

  • Xueqing Wu, Rui Zheng, Te-Lin Wu, Hanyu Zhou, Tang Mohan, Kai-Wei Chang, Nanyun Peng, Haoran Huang, DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation, Arxiv 2403. Link, Website, Code

Employment

Bytedance AI Lab, 05/2023 - 09/2023

  • Research intern at NLP group. Mentor: Dr. Haoran Huang
  • Conduct research on code generation. One preprint on Arxiv.

IBM Research, 05/2022 - 08/2022

  • Research intern at knowledge induction group. Mentor: Alfio Glozzio
  • Conduct research on tabular data processing. One paper on ACL 2023 findings.

Bytedance AI Lab, 06/2020 - 07/2021

  • Research intern at LITG group. Mentor: Dr. Hang Li
  • Conduct research on text generation. One paper on ACL 2022.

Microsoft Research Asia, 10/2019 - 07/2020

  • Research intern at Machine Learning group. Mentor: Dr. Tao Qin
  • Conduct research on machine translation. Three papers on ICML 2021, ACML journal track 2021, and IWSLT Workshop 2021.