Cheng Deng @ Daven

Ph. D. Candidate

Acemap, SEIEE
Shanghai Jiao Tong University

Email: davendw@sjtu.edu.cn
Office: SEIEE 1-432, SJTU
WeChat: davendw
Twitter: davendw

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GitHub
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About me

Currently, I'm pursuing my doctoral degree in Computer Science in Acemap, IIOT Lab, at Shanghai Jiao Tong University, where I have the honor of being supervised by Prof. Weinan Zhang, Prof. Luoyi Fu and Prof. Xinbing Wang. I was also selected into Wenjun Wu Honored Ph.D. Class in 2021.

My research interests include natural language processing, data science, and data-centric AI. Specifically, I am devoted to the research of specialized domain large language models (collaborating with Prof. Junxian He and Prof. Zhouhan Lin) and utilizing AI techniques especially LLM as AI Agents to solve data science related real-life issues (collaborating with Prof. Ying Wen).

What's News

  • [2023-10] New!!! Our paper "Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" (The K2) has been accepted by WSDM-2024!
  • [2023-10] New!!! 2 papers have been accepted by IJCKG-2024!
  • [2023-10] New!!! Our paper "Enhancing Uncertainty-Based Hallucination Detectionwith Stronger Focus" has been accepted by EMNLP-2023!
  • [2023-10] New!!! GeoGalactica, A Larger language model for geoscience is open-sourced on geobrain-ai/geogalactica! The technical report is on the way!
  • [2023-09] K2 is posted by 机器之心 | Synced !
  • [2023-09] PDF Parser toolkits for text corpus pre-processing are open-sourced on davendw49/sciparser!
  • [2023-08] Invited talk sharing in UGA about geoscience foundation model k2 and GeoAI.
  • [2023-06] We propose a large language model for geoscience knowledge understanding and utilization, the paper is under review while the model and related data are open-sourced on davendw49/k2 !
    • Publication [Google Citation]

  • [WSDM2024] 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, "Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" in WSDM, 2024. [Paper] [Code] [Demo]
  • [TNSE] Chong Zhang, Cheng Deng, Luoyi Fu, Xinbing Wang, Guihai Chen, Lei Zhou, and Chenghu Zhou. "RWE: A Random Walk based Graph Entropy for the Structural Complexity of Directed Networks" in TNSE.
  • [EMNLP2023] Tianhang Zhang, Lin Qiu, Qipeng Guo, Cheng Deng, Yue Zhang, Zheng Zhang, Chenghu Zhou, Xinbing Wang, Luoyi Fu. "Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus" in EMNLP, 2024.
  • [Preprint] Cheng Deng, Fan Xu, Jiaxing Ding, Weinan Zhang, Luoyi Fu, Xinbing Wang, Chenghu Zhou, et al. "FMGNN: Fused Manifold Graph Embedding via Geometry Coreset" in TKDD, 2023 [Under Review]. [Paper]
  • [EJIM] Yang Yang, Na Zhao, Ting Ma, Ze Yuan, Cheng Deng, et al. "'Paperdemic' during the COVID-19 pandemic" in "Letter to the Editor" of European Journal of Internal Medicine, 2022, DOI: 10.1016/j.ejim.2022.09.030.
  • [CIKM2021] Cheng Deng, Yuting Jia, Weinan Zhang, Luoyi Fu, Xinbing Wang, Chenghu Zhou, et al. "GAKG: A Multimodal GeoScience Academic Knowledge Graph" in CIKM, 2021, DOI: 10.1145/3459637.3482003. [Website] [Paper] [Code] [Slide]
  • [IJCKG2023] Cheng Deng, Bo Tong, Luoyi Fu, Jiaxin Ding, Dexing Cao, Xinbing Wang and Chenghu Zhou. "PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model" in IJCKG, 2024. [Paper] [Data] [Code]
  • [IJCKG2023] Cheng Deng, Jiaxing Ding ,Weinan Zhang, Luoyi Fu, Xinbing Wang, Chenghu Zhou. "Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph Construction and Application" in IJCKG, 2024.
  • [FCS] Jiaqi Liu, Zhiwen Yu, Bin Guo, Cheng Deng, Luoyi Fu, Xinbing Wang, Chenghu Zhou. "EvolveKG: A General Framework to Learn Evolving Knowledge Graphs" in Frontiers of Computer Science, 2022. [Paper] [Code]
  • [TMC] Jiaqi Liu, Cheng Deng, Luoyi Fu, Xinbing Wang, et al. "Evolving Bipartite Model Reveals the Bounded Weights in Mobile Social Networks: A Case Study in Recommendation Network" in IEEE Transactions on Mobile Computing, 2020, DOI: 10.1109/TMC.2020.3017630. [Paper] [Link] [Code]
    • Projects

  • K2: The first geoscience Large Language Model, sharing by Prof. Cleverley [Github].
  • Navigation over GeoScience Academic Knowledge Graph, an introduction video is shown below, audio by Cinna (Qiyuan Chen from University of Waterloo) [Website]
  • [GeoScience Multimodal Knowledge Graph] 图文数一体化的地学知识图谱构建与应用, 专项项目, Construction and application of geoscience knowledge map with integrated graphics, text and data. [Website]
  • [Knowledge Graph and Graph Analysis] 知识驱动下的大图度量与分析, 国际(地区)合作与交流项目, Knowledge-driven big picture measurement and analysis.
  • [Computer science and COVID-19] 新型冠状肺炎病毒扩散溯源和疫情防预关键技术研究, 专项项目, 面上项目, Research on key technologies of novel coronavirus spread traceability and epidemic prevention.
  • [Interdisciplinary Research during the COVID-19] Knowledge Graph for COVID-19 related Interdisciplinary Research. [Website].
  • [Knowledge Driven Design Material Recommendation System] Construction a design common sense knowledge graph and deploy the recommendation system via reasoning over knowledge graph. Cooperated with HUAWEI.
  • [Ancient Chinese Literature] I put forward an ancient Chinese character editor that automatically summarized the ancient Chinese characters in the plate that had been extracted out. I am currently working on the second stage of development and named it "shuowen".
  • DDE Deep-time Digital Earth[Project Page], contribute to the projects as follows
    • Teaching [TA] and Services

    TA

  • [Mobile Networks] [2019,2020,2021,2022]
  • [IEEI (B)] [2020] [2021,2022,2023]
  • [Program Design (C++)] [2020]
  • [Data Science CS245-2] Kaggle

    • Reviewer

  • Reviewer for Journal TKDE [2019-]
  • Reviewer for Journal TMC [2020]
  • Reviewer for Journal FCS [2023]
  • Reviewer for Conference AISTATS [2024]
    • Talks for Academic Sharing

  • Invited by Prof. Gengchen Mai from UGA, I gave a talk with on topic of "large language model in geoscience" in the seminar of GeoAI, Aug. 2023.
  • Attending DDE Conference hosted by China University of Geosciences (Beijing), I gave a talk on "Building a sustainable text corpus for geoscience", Sept. 2023.
    • Awards

  • Being selected into Mentor Group of Guozhi Class.
  • Wu Wen Jun Honorary Doctoral Scholarship, 2020.
  • Honored Ph.D Wenjun Wu Honored Ph.D Class, 2020.
  • Outstanding Undergraduate Thesis in Hunan Province, 2019 (Top 1%).
  • Outstanding Undergraduate Thesis in Hunan University, 2019 (Top 1%).
  • Meritorious Winner in Mathematical Contest In Modeling (MCM), 2018 (Top 7.09%).
  • Ten Influential Students of Hunan University Student Association Federation, 2018.
  • 3 × First Class Scholarship for Undergraduate Student in Hunan University, 2016-2019 (Top 5%).
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