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 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 natural language processing, knowledge graphs and social networks. Specifically, I am devoted to research of pre-trained language models (cooperate with Prof. Junxian He), information extraction, multimodal knowledge graph and topology in complex networks.
What's more, I am in charge of several IIOT main services:
What's News
[2022-11] New!! Cooperation with CAS Team, we analysis the 'Paperdemic' phenomenon during the COVID-19 pandemic and the paper has been accepted by European Journal of Internal Medicine (SCI-Q1)!
[2022-11] New!! Navigation system over GAKG is newly developed and publicly accessible GeoScience Knowledge Navigation System is publicly accessible! [Bilibili, Youtube]
[2022-11] New!! Our GeoScience Academic Knowledge Graph and its related systems and resources GAKG for DDE is promoted at IUGS in Paris!
[2022-05] Our COVID-19 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
Research
Currently, I mainly focus on the research of pretrained language models, information extration and knowledge graph construction with human-in-the-loop. In addition, I am engaging in Science of Science, applying deep learning in social issues like COVID-19 and interdisciplinary issues like Geoscience. For more....
[CCF-B] Cheng Deng, Bo Tong, Jiaxing Ding, Luoyi Fu, Xinbing Wang, Chenghu Zhou. "PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model" in ICASSP, 2023 [Under Review].
[CCF-B] Cheng Deng, Zhang Tianhang ,Weinan Zhang, Luoyi Fu, Xinbing Wang, Chenghu Zhou. "For anonymity" in DASFAA, 2023 [Under Review].
[CCF-A] Cheng Deng, Fan Xu, Jiaxing Ding, Weinan Zhang, Luoyi Fu, Xinbing Wang, Chenghu Zhou, et al. "For anonymity" in WWW, 2023 [Under Review].
[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" in Cell Patterns. [Minor Revision].
[SCI-Q1] 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.
[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-C, SCI-Q2] 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]
[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
Navigation over GeoScience Academic Knowledge Graph, an introduction video is shown below, audio by Cinna (Qiyuan Chen from Waterloo University) [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".
Teaching [TA] and Services
Reviewer
Reviewer for Journal TKDE [2019-]
Reviewer for Journal TMC [2020]
Awards
Honored Ph.D Wenjun Wu Honored Ph.D Class, 2021.
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%).
