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At Clear Water Bay, December 2023.
jchengajnull@nullcse.ust.hk

I am a graduate student at the Hong Kong University of Science and Technology (HKUST) advised by professor Yangqiu Song, and a research intern at Amazon Web Services AI Lab with professor Zheng Zhang. Prior to my postgraduate studies, I received my Bachelor's degree in Data Science from Fudan University.

My research interests are in Natural Language Processing, and I am particularly interested in knowledge grounding and analogical reasoning.

News

🎉 Delighted to share that several recent papers are accepted by the EMNLP 24 conference. Check out the evidence conflict detection / resolution, negotiation Theory of Mind, and analogies for understanding scientific concept papers below! Will attend the conference in person at Miami, FL this November.
I am at the LREC-COLING 24 conference in Turin, Italy.
Our recent work on story analogies has been accepted to EMNLP-2023 main conference! I will be attending the conference in person. Please feel free to reach out to me! 😊

1. Selected Publications

EMNLP
2024
ECon: On the Detection and Resolution of Evidence Conflicts
Cheng Jiayang, Chunkit Chan, Qianqian Zhuang, Lin Qiu, Tianhang Zhang, Tengxiao Liu, Yangqiu Song, Yue Zhang, Pengfei Liu, Zheng Zhang

EMNLP Findings
2024
NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surrounding
Chunkit Chan, Cheng Jiayang, Yauwai Yim, Zheye Deng, Wei Fan, Haoran Li, Xin Liu, Hongming Zhang, Weiqi Wang, Yangqiu Song

EMNLP
2024
Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models?
Siyu Yuan*, Cheng Jiayang* (equal contribution), Lin Qiu, Deqing Yang

LREC-COLING
2024
EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs
Cheng Jiayang, Lin Qiu, Chunkit Chan, Xin Liu, Yangqiu Song, Zheng Zhang

EACL Findings
2024
Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations
Chunkit Chan, Cheng Jiayang, Weiqi Wang, Yuxin Jiang, Tianqing Fang, Xin Liu, Yangqiu Song

EMNLP
2023
StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding
Cheng Jiayang, Lin Qiu, Tsz Ho Chan, Tianqing Fang, Weiqi Wang, Chunkit Chan, Dongyu Ru, Qipeng Guo, Hongming Zhang, Yangqiu Song, Yue Zhang, Zheng Zhang

ICML
2022
Boosting graph structure learning with dummy nodes
Xin Liu, Cheng Jiayang, Yangqiu Song, Xin Jiang

ACL
2022
Learning from sibling mentions with scalable graph inference in fine-grained entity typing
Yi Chen*, Cheng Jiayang* (equal contribution), Haiyun Jiang, Lemao Liu, Haisong Zhang, Shuming Shi, Ruifeng Xu

2. Experiences

Academia
2021 - 2023
M.Phil. in Computer Science at HKUST.
2017 - 2021
B.Sc. in Data Science at Fudan University.
Industry
04/2022 - now
Amazon Web Services AI Lab. Research Intern on Knowledge Grounding for LLMs.
07 - 12/2020
Tencent AI Lab. Research Intern on Information Extraction.
Teaching
2024 Fall
Computer Networks. COMP5621; Natural Language Processing. MSBD5018, HKUST
2024 Spring
Introduction to Computer Science. COMP1021, HKUST
2022 Fall
Machine Learning with Structured Data. COMP4222, HKUST
2022 Spring
Advanced Data Mining for Risk Management and Business Intelligence. RMBI4310, HKUST

Miscellaneous

Some scenes this year.

Most stories feature a team with cool members. Here are our team members (Well, some of them are the same, if you have noticed it):

Joey
i.e., me.
Heather
who?
Gin Bow, in meditation.
Captain Gin Bow.