Jiangjie Chen

Jiangjie Chen

Ph.D. Candidate

Fudan University

Biography

Jiangjie Chen (陈江捷) is a third-year Ph.D. candidate at Fudan University (FDU) in School of Computer Science, Shanghai, China, where he is advised by Prof. Yanghua Xiao at Knowledge Works Lab. He is also currently a research intern at ByteDance AI Lab, where he works closely with Prof. Lei Li (now at UCSB), Dr. Hao Zhou (now at Tsinghua University) and Dr. Changzhi Sun.

He is a zealous believer in reasoning over natural language and dedicated to make neural models right for the right reasons. His research interests mainly lie in Text Reasoning, Text Generation and Explainable NLP, and particularly the intersection of them. His previous research experiences also include Knowledge Graph Construction.

( Download my resumé. Could be outdated. 😶)

Interests
  • Text Reasoning
  • Text Generation
  • Knowledge Acquisition and Application
  • Mountaineering 🧗‍♂️
  • Tennis 🎾 (3.0)
Education
  • Ph.D. in CS, 2019 - 2024 (estimated)

    Fudan University

  • B.S. in CS (with honor), 2014 - 2019

    Fudan University

News

  • [4/27/2022] E-KAR will be presented at the Commonsense Representation and Reasoning (CSRR) workshop @ ACL 2022, discussions welcomed!

  • [4/25/2022] E-KAR will be presented at ACL 2022 (virtually) in a poster session, welcome to check it out!

  • [4/8/2022] Our paper (ACT) got accepted at NAACL-HLT 2022!

  • [3/26/2022] The leaderboard of E-KAR has been released at EvalAI! Welcome to participate!

  • [3/19/2022] Our work LOREN received the attention of WikiResearch Team 🧐, here’s the tweet.

  • [2/25/2022 ~ 2/28/2022] Giving oral & poster presentations about LOREN and EDUCAT at AAAI 2022 virtual conference.

  • [2/24/2022] Our paper (E-KAR) got accepted at ACL 2022 (Findings)!

Experience

 
 
 
 
 
ByteDance AI Lab
Research Intern
ByteDance AI Lab
Nov 2019 – Present Shanghai
Knowledge-guided text generation and natural language reasoning.
 
 
 
 
 
Knowledge Works Lab (KW, 知识工场) at Fudan University
Student Researcher
Knowledge Works Lab (KW, 知识工场) at Fudan University
Apr 2017 – Present Shanghai
Knowledge graph, text generation and reasoning.

Recent Publications

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(2022). Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints. In The 2022 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2022).

PDF Cite Code

(2022). E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning. In The 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) - Findings.

PDF Cite Project Poster Slides Video

(2022). FalCon: A Faithful Contrastive Framework for Response Generation in TableQA Systems. In The 27th International Conference on Database Systems for Advanced Applications (DASFAA 2022).

PDF Cite Code

(2022). LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification. In The 36th AAAI Conference on Artificial Intelligence (AAAI 2022) (oral).

PDF Cite Code Poster Slides Video Demo

(2022). Unsupervised Editing for Counterfactual Stories. In The 36th AAAI Conference on Artificial Intelligence (AAAI 2022) (oral).

PDF Cite Code Poster Slides Video

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