Cheng Deng (邓程) @ Daven

PhD Candidate

Acemap IIoT, SEIEE
Shanghai Jiao Tong University

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

Blog
GitHub
Google Scholar


My Friends:

Fangxin Liu (刘方鑫): Wenjun Wu Honored Ph.D Class, PhD Student.

Ke Xie (谢科): Founder of 卡拉云, Kalacloud.

About me

I obtained my bachelor's degree in computer science and technology from Hunan University in Changsha, Hunan Province in June 2019. Currently, I'm pursuing my doctoral degree in Computer Science in Acemap, IIOT Lab, at Shanghai Jiao Tong University, where I have the honor to be supervised by Prof. Luoyi Fu, Prof. Weinan Zhang and Prof. Xinbing Wang. I am also selected into Wenjun Wu Honored Ph.D Class in 2021.

My research interests include knowledge graphs, social networks, and multimodal intelligence. Specifically, I am devoted to investigating information extraction, constructing multimodal knowledge graph from academic text corpora, and finding the topology in complex networks.

What's more, I am in charge of several IIOT main websites:

What's News

  • [2022-05] New!! Our Interdisciplinary Research System Covidia is publicly accessible!
  • [2022-01] Our Semantic search system is coming, a re-organized system of GAKG.
  • [2021-08] Our GeoScience Knowledge Platform GAKG Platform is publicly accessible!
  • [2021-08] Our paper "GAKG: A Multimodal GeoScience Academic Knowledge Graph" has been accepted as a resource paper at CIKM-2021!
  • [2020-10] Our paper "Evolving Bipartite Model Reveals the Bounded Weights in Mobile Social Networks: A Case Study in Recommendation Network" has been accepted by IEEE TMC !
  • [2020-08] Cooperation with CAS Team, data access website is HERE
    • Education

  • PhD, Computer Science and Engineering, Shanghai Jiao Tong University (In progress)
  • BSc, Computer Science and Engineering, Hunan University
    • Research

    Currently, I mainly focus on how to extract high quality information from given text corpus and build the knowledge graph more flexibly. In addition, I am engaging in Science of Science, applying deep learning in social issues like COVID-19, etc.. For more technology-related learning posts, please visit my blog.

    Publication [Google Citation]

  • [Cell Patterns] Yuanbo Luo, Lizhi Tao, Fan Xiao, Cheng Deng, Xinbing Wang, Chenghu Zhou, et al. The impacts of COVID-19 on gender inequality in academia. [Minor Revision].
  • [CCF-B] Cheng Deng, Zhang Tianhang ,Weinan Zhang, Luoyi Fu, Xinbing Wang, Chenghu Zhou, et al. "Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph Construction and Application" in CIKM, 2022 [Under Review]. [Website]
  • [CCF-B] Cheng Deng, Zhang Tianhang ,Weinan Zhang, Luoyi Fu, Xinbing Wang, Chenghu Zhou, et al. "MMGE: Mixed Manifold Graph Embedding via Geometry Coreset" in CIKM, 2022 [Under Review].
  • [CCF-B] 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]
  • [CCF-A] 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

  • [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 Research. [Website].
  • [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".
    • Teaching [TA]

  • [Mobile Networks] [2019,2020,2021,2022]
  • [Introduction to Engineering for Electronic Information (B)] [2020] [2021,2022]
  • [Program Design (C++)] [2020]
  • [Data Science CS245-2] Kaggle
    • Awards

  • Outstanding graduates of Hunan Province and Hunan University, 2019 (Top 1%).
  • Meritorious Winner in Mathematical Contest In Modeling (MCM), 2018 (Top 7.09%).
  • Ten Influential People of Hunan University Student Association Federation, 2018.
  • 3 × First Class Scholarship for Undergraduate Student in Hunan University, 2016-2019 (Top 5%).

    • Refer to Vasilios Mavroudis's homepage template!

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