About Me
I was admitted to Nanjing University in September 2015 and received my B.Sc. degree in Computer Science and Technology department of Nanjing University in June 2019. In the same year, I was admitted to study for a PhD degree led by Prof. Fengyuan Xu in Nanjing University without entrance examination. Google scholar and Github.
Education
- Nanjing University, Computer Science and Technology, student pursuing a PhD degree, from 2019.9
- Nanjing University, Computer Science and Technology, B.Sc. degree, 2015.9 - 2019.6
Projects
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. I am very pleased to work for such an interesting library with a group of enthusiastic developers.
Research interests
Graph Neural Networks, Natural Language Processing, Dataset Preparation
Publications
JOURNAL
- Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, and Bo Long. “Graph Neural Networks for Natural Language Processing: A Survey”, Foundations and Trends^® in Machine Learning 2022 (FnT-MAL 2022). PDF
CONFERENCE
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Shucheng Li, Runchuan Wang, Hao Wu, Sheng Zhong and Fengyuan Xu. “SIEGE: Self-Supervised Incremental Deep Graph Learning for Ethereum Phishing Scam Detection”. In the 31st ACM International Conference on Multimedia. (MM 23, CCF-A). PDF
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Shucheng Li, Boyu Chang, Bo yang, Hao Wu, Sheng Zhong and Fengyuan Xu. “Dataset Preparation for Arbitrary Object Detection: An Automatic Approach based on Web Information in English”. In the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023, CCF-A). PDF
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Yue Duan, Xin Zhao, Yu Pan, Shucheng Li, Minghao Li, Fengyuan Xu, Mu Zhang. “Towards Automated Safety Vetting of Smart Contracts in Decentralized Applications”. In the Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. (CCS 2022, CCF-A), Best Paper Honorable Mention Award. PDF
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Shucheng Li*, Lingfei Wu*, Shiwei Feng, Fangli Xu, Fengyuan Xu and Sheng Zhong (*Equally Contributed). “Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem”. In the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020 FINDINGS). PDF CODE
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Shucheng Li, Lingfei Wu, Shiwei Feng, YulongTian, Fengyuan Xu, Fangli Xu and Sheng Zhong. “Toward Automated Queries Generation from Natural Language Description Using Graph Neural Networks”. In International Conference on AI + Adaptive Education 2019 (AIAED 2019), Best Student Paper.
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Shucheng Li, Lingfei Wu, Shiwei Feng, Yulong Tian, Fengyuan Xu, Fangli Xu and Sheng Zhong. “An Empirical Study of Graph Neural Networks Based Semantic Parsing”. In the First International Workshop on Deep Learning on Graphs: Methods and Applications, in Conjunction with the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-DLG 2019), Best Student Paper.
Patents
- Auto Object Detection in Open World based on Simple Description. Fengyuan Xu, Hao Wu, Shucheng Li, Huaao Tang. 2022/05. ZL 2022 1 0548406.8
- Self-Supervised Deep Graph Learning Based Ethereum Phishing Scam Detection. Fengyuan Xu, Hao Wu, Shucheng Li, Runchuan Wang. 2022/03. ZL 2023 1 0328325.1
Awards and Honors
- I was invited as a PC member in the Second International Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD’20)
- Presidential Scholarship, September 2019
- Best student paper in DLG19 (KDD Workshop on Deep Learning on Graphs), August 2019
- Outstanding undergraduate graduation thesis (Top 2%), June 2019
- Best student paper with travel award in AIAED19, May 2019
- Major Award of Academic Performance Scholarship (Top 5%), November 2016
- Second-class Award of GuangHua Scholarship, November 2016