I’m pursuing my doctoral degree in Computer Science in , IIOT Lab, at Shanghai Jiao Tong University, where I have the honor to be supervised by Prof. Luoyi Fu and Prof. Xinbing Wang.

My research interests include natural language processing, knowledge graphs and data mining. Specifically, I am devoted to research of large language models and temporal knowledge graph.

What’s more, welcome to my technical blog OmegaXYZ and 中文博客.

🔥 News

• 2025.04.05   🤖DeepReport got accepted at SIGIR 2025!
• 2024.12.01   🎉 One paper got accepted at SANER 2025!
• 2024.09.27   🎉 One paper got accepted at EMNLP 2024, one paper got accepted at NeurIPS 2024!
• 2024.06.17   Invited 💬 talk at “AI-Based Future IoT Technologies and Services 2024 Workshop” in Jeju, Korea.
• 2024.03.13   🎉 A long paper is accepted by NAACL 2024 main conference.
• 2023.12.31   GeoGalactica, a 30b LLM for GeoScience 🌏 has been released.
• 2023.05.02   🎉 Two long papers are accepted by ACL 2023 main conference.
• 2023.04.27   I am invited to give a 💬 talk for a temporal graph (TG) reading group held by McGill University, Mila, NEC Laboratories Europe and University of Mannheim.

📝 Publications

• SIGIR 2025 DeepReport: An AI-assisted Idea Generation System for Scientific Research
  Yi Xu, Luoyi Fu, Shuqian Sheng, Bo Xue, Jiaxin Ding, Lei Zhou, Xinbing Wang, Chenghu Zhou
  In: ACM International Conference on Research and Development in Information Retrieval, 2025 (CCF-A, demo track)
  Demo

• FCS 2025 Rethinking Temporal Knowledge Graph Extrapolation: Prioritizing Historical Events over Graph
  Yi Xu, Luoyi Fu, Xinbing Wang
  In: Frontiers of Computer Science, 2025 (CCF-B)
  Page

• SANER 2025 Pay Your Attention on Lib! Android Third-Party Library Detection via Feature Language Model
  Dahan Pan, Yi Xu (equal contribution), Runhan Feng, Donghui Yu, Jiawen Chen, Ya Fang, Yuanyuan Zhang
  In: The IEEE International Conference on Software Analysis, Evolution and Reengineering, 2025 (CCF-B)
  PDF

• EMNLP 2024 RepEval: Effective Text Evaluation with LLM Representation
  Shuqian Sheng, Yi Xu, Tianhang Zhang, Zanwei Shen, Luoyi Fu, Jiaxin Ding, Lei Zhou, Xinbing Wang, Chenghu Zhou
  In: Conference on Empirical Methods in Natural Language Processing, 2024 (CCF-B, main conference, long paper)
  Page PDF

• arXiv 2024 Good Idea or Not, Representation of LLM Could Tell
  Yi Xu, Bo Xue, Shuqian Sheng, Cheng Deng, Jiaxin Ding, Zanwei Shen, Luoyi Fu, Xinbing Wang, Chenghu Zhou
  In: arXiv (preprint), 2024
  Page PDF

• NeurIPS 2024 Human-Readable Fingerprint for Large Language Models
  Boyi Zeng, Lizheng Wang, Yuncong Hu, Yi Xu, Chenghu Zhou, Xinbing Wang, Yu Yu, Zhouhan Lin
  In: Conference on Neural Information Processing Systems, 2024 (CCF-A)
  Page PDF

• arXiv 2024 Unlock the Power of Frozen LLMs in Knowledge Graph Completion
  Bo Xue, Yi Xu, Yunchong Song, Yiming Pang, Yuyang Ren, Jiaxin Ding, Luoyi Fu, Xinbing Wang
  In: arXiv (preprint), 2024
  Page PDF

• NAACL 2024 Is Reference Necessary in the Evaluation of NLG Systems? When and Where?
  Shuqian Sheng, Yi Xu, Luoyi Fu, Jiaxin Ding, Lei Zhou, Xinbing Wang, Chenghu Zhou
  In: The North American Chapter of the Association for Computational Linguistics, 2024 (CCF-B, main conference, long paper)
  Page PDF

• arXiv 2024 GeoGalactica: A Scientific Large Language Model in Geoscience
  Zhouhan Lin, Cheng Deng, Le Zhou, Tianhang Zhang, Yi Xu, Yutong Xu, Zhongmou He, Yuanyuan Shi, Beiya Dai, Yunchong Song, Boyi Zeng, Qiyuan Chen, Tao Shi, Tianyu Huang, Yiwei Xu, Shu Wang, Luoyi Fu, Weinan Zhang, Junxian He, Chao Ma, Yunqiang Zhu, Xinbing Wang, Chenghu Zhou
  In: arXiv (preprint), 2024
  Page PDF

• WSDM 2024 Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization
  Cheng Deng, Tianhang Zhang, Zhongmou He, Yi Xu, Qiyuan Chen, Yuanyuan Shi, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin and Junxian He
  In: ACM International Conference on Web Search and Data Mining, 2024 (CCF-B)
  Page PDF

• ACL 2023 Exploring and Verbalizing Academic Ideas by Concept Co-occurrence
  Yi Xu, Shuqian Sheng, Bo Xue, Luoyi Fu, Xinbing Wang and Chenghu Zhou
  In: Annual Meeting of the Association for Computational Linguistics, 2023 (CCF-A, main conference, long paper)
  Page PDF Code

• ACL 2023 Unsupervised Graph-Text Mutual Conversion with a Unified Pretrained Language Model
  Yi Xu, Shuqian Sheng, Jiexing Qi, Luoyi Fu, Zhouhan Lin, Xinbing Wang and Chenghu Zhou
  In: Annual Meeting of the Association for Computational Linguistics, 2023 (CCF-A, main conference, long paper)
  Page PDF

• AAAI 2023 Temporal Knowledge Graph Reasoning with Historical Contrastive Learning
  Yi Xu, Junjie Ou, Hui Xu, and Luoyi Fu
  In: AAAI Conference on Artificial Intelligence, 2023 (CCF-A, Oral)
  Page PDF Media Code

• arXiv 2023 Exploring the Limits of Historical Information for Temporal Knowledge Graph Extrapolation
  Yi Xu, Junjie Ou, Hui Xu, Luoyi Fu, Lei Zhou, Xinbing Wang and Chenghu Zhou
  In: arXiv (preprint), 2023
  Page PDF Media Code

• arXiv 2022 INFINITY: A Simple Yet Effective Unsupervised Framework for Graph-Text Mutual Conversion
  Yi Xu, Luoyi Fu, Zhouhan Lin, Jiexing Qi, and Xinbing Wang
  In: arXiv (preprint), 2022
  Page PDF

• TCYB 2021 A Steering-matrix-based Multi-objective Evolutionary Algorithm for High-Dimensional Feature Selection
  Fan Cheng, Feixiang Chu, Yi Xu, and Lei Zhang
  In: IEEE Transactions on Cybernetics, 2021 (SCI-Q1, IF:19.118, CCF-B)
  Page PDF Code

• ICIC 2019 A Diversity based Competitive Multi-objective PSO for Feature Selection
  Jianfeng Qiu, Fan Cheng, Lei Zhang, and Yi Xu (Corresponding Author)
  In: International Conference on Intelligent Computing, 2019 (CCF-C, Oral)
  Page

Two papers submitted to CCF-A conference/Journal are under review now.

🚀 Projects

DeepReport

Supported by the Deep-time Digital Earth (DDE) International Big Science Program, I develop DeepReport to inspire researchers for knowledge discovery. DeepReport provides functions such as paper retrieval, insights extraction, concept exploration, knowledge summarization and generation.

Acemap

Acemap, containing 260 million papers and 101 million scholars, is a mapmatic academic system that fully discovered the connection and its evolving feature among researchers, papers, and topics in scholarly data.

📖 Services

Journal Reviewer

• IEEE Transactions on Audio, Speech and Language Processing
• IEEE Transactions on Neural Networks and Learning Systems
• IEEE Transactions on Network Science and Engineering
• IEEE Transactions on Computational Social Systems
• Knowledge and Information Systems
• China Communications
• Geo-spatial Information Science

Conference Reviewer

• 2025: ACL-ARR
• 2024: ACL-ARR (ACL, NAACL, EMNLP)
• 2023: ACL, EMNLP, SIGMETRICS
• 2022: AAAI, SIGMETRICS

📚 Teaching

• Teaching Assistant, Introduction to Engineering for Electronic Information, Shanghai Jiao Tong University (Fall 2023)
• Teaching Assistant, Data Structure and Algorithm (IEEE Class), Shanghai Jiao Tong University (Fall 2022)
• Teaching Assistant, Mobile Internet, Shanghai Jiao Tong University (Spring 2022)
• Teaching Assistant, Data Structure and Algorithm, Shanghai Jiao Tong University (Fall 2021)
• Teaching Assistant, Thinking and Approach of Programming, Shanghai Jiao Tong University (Fall 2020)