Biography
Sijie Cheng is a third-year postgradute at Fudan University in School of Computer Science, Shanghai, China, where she is advised by Prof. Yanghua Xiao at Knowledge Work Lab. She had been working on analyzing and exploiting tacit knowledge inside foundation models, and currently devote to work on world model.
What’s past is prologue. Download my resumé.
Interests
- World Model
- Foundation Models
- Reasoning
Education
M.Sc in Software Engineering, 2020-2023
Fudan University
B.Sc. in Software Engineering, 2016-2020
Chongqing University of Posts and Telecommunications
Research Experience
Research Intern
Free-text explanation for reasoning, working with Prof. Lingpeng Kong.
Joint-Supervision
Research Intern
Taxonomy relational knowledge extraction, working with Rui Xie. -> ICDE 2022 and ACL 2022
Visiting Fellow
Analysis of commonsense knowledge in pre-trained language model, advised by Prof. Yue Zhang. -> ACL 2021
Summer School
Movie recommendation with knowledge graph, advised by Dr. Fuzheng Zhang.
Recent Publications
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(2022).
Can Pre-trained Language Models Interpret Similes as Smart as Human?.
In ACL 2022.
(2022).
Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision.
In ICDE 2022.
(2022).
Unsupervised Editing for Counterfactual Stories.
In AAAI 2022.
(2021).
On commonsense cues in bert for solving commonsense tasks.
In ACL-IJCNLP 2021.
(2018).
NEARM: Natural Language Enhanced Association Rules Mining.
In ICDM Workshops 2018.