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Cheng Deng

Ph.D. Student
Shanghai Jiao Tong University
davendw (at) sjtu.edu.cn


About Me

I obtained my Ph.D. 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. During my early research career, I’ve been interning at TikTok in the Data team, and I also interned as applied scientist at Amazon Shanghai AI Lab. Moreover, I was selected into Wenjun Wu Honored Ph.D. Class in 2021.

During my doctoral period, one of the key feedbacks I receive from industry projects and interdisciplinary collaborators is that the LLM should be highly reliable and efficient deployment in actual application. So I adjust my focus to LLM system in the coming career. Recently, I am devoted to the research of on-device large language model, doing some projects about the training, deployment, and the application of LLM for edge-side or IoT.

Research Interests

Highlight

We release the The PLM (Peripheral Language Model) series, a novel model architecture to peripheral computing by delivering powerful language capabilities within the constraints of resource-limited devices. In the future, the PLM Team will keep doing research on PLM with modeling and system co-design.

News

Publications [Google Citation]

  1. Preprint PLM: Efficient Peripheral Language Models Hardware-Co-Designed for Ubiquitous Computing
    Cheng Deng, Luoyang Sun, Jiwen Jiang, Yongcheng Zeng, Xinjian Wu, Wenxin Zhao, Qingfa Xiao, Jiachuan Wang, Haoyang Li, Lei Chen, Lionel M. Ni, Haifeng Zhang, Jun Wang
    PDF Code
  2. ICASSP2025 AceParse: A Comprehensive Dataset with Diverse Structured Texts for Academic Literature Parsing
    Huawei Ji, Cheng Deng, Bo Xue, Zhouyang Jin, Jiaxin Ding, Xiaoying Gan, Luoyi Fu, Xinbing Wang, Chenghu Zhou
    IEEE International Conference on Acoustics, Speech, and Signal Processing
    PDF Code
  3. ECAI2024 A Language Model as a Design Assistant for UI Design Recommendation and Evaluation
    Lin Sheng, Cheng Deng, Junjie Zhang, Fangyuan Chang, Qinghua Sun, Hongyu Liu and Zhenyu Gu
    European Conference on Artifical Intelligence
  4. ICML2024 DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning
    Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang
    International Conference on Machine Learning
    PDF Code
  5. Preprint GeoGalactica: A Scientific Large Language Model in Geoscience
    Zhouhan Lin, Cheng Deng, Le Zhou, Tianhang Zhang, Yi Xu, Luoyi Fu, Weinan Zhang, Junxian He, Chao Ma, Yunqiang Zhu, Xinbing Wang, Chenghu Zhou, et al.
    PDF Code
  6. WSDM2024 K2: 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, Junxian He
    WSDM, 2024
    PDF Code
  7. TNSE RWE: A Random Walk based Graph Entropy for the Structural Complexity of Directed Networks
    Chong Zhang, Cheng Deng, Luoyi Fu, Xinbing Wang, Guihai Chen, Lei Zhou, Chenghu Zhou
    IEEE Transactions on Network Science and Engineering (TNSE)
  8. EMNLP2023 Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus
    Tianhang Zhang, Lin Qiu, Qipeng Guo, Cheng Deng, Yue Zhang, Zheng Zhang, Chenghu Zhou, Xinbing Wang, Luoyi Fu
    EMNLP, 2024
  9. Preprint FMGNN: Fused Manifold Graph Embedding via Geometry Coreset
    Cheng Deng, Fan Xu, Jiaxing Ding, Weinan Zhang, Luoyi Fu, Xinbing Wang, Chenghu Zhou, et al.
    PDF Under Review
  10. EJIM 'Paperdemic' during the COVID-19 pandemic
    Yang Yang, Na Zhao, Ting Ma, Ze Yuan, Cheng Deng, et al.
    European Journal of Internal Medicine, 2022
    PDF
  11. CIKM2021 GAKG: A Multimodal GeoScience Academic Knowledge Graph
    Cheng Deng, Yuting Jia, Weinan Zhang, Luoyi Fu, Xinbing Wang, Chenghu Zhou, et al.
    CIKM, 2021
    PDF Code
  12. IJCKG2023 PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model
    Cheng Deng, Bo Tong, Luoyi Fu, Jiaxin Ding, Dexing Cao, Xinbing Wang, Chenghu Zhou
    International Joint Conference on Knowledge Graphs
    PDF Code
  13. IJCKG2023 Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph Construction and Application
    Cheng Deng, Jiaxing Ding, Weinan Zhang, Luoyi Fu, Xinbing Wang, Chenghu Zhou
    International Joint Conference on Knowledge Graphs
  14. FCS EvolveKG: A General Framework to Learn Evolving Knowledge Graphs
    Jiaqi Liu, Zhiwen Yu, Bin Guo, Cheng Deng, Luoyi Fu, Xinbing Wang, Chenghu Zhou
    Frontiers of Computer Science, 2022
    Code
  15. TMC Evolving Bipartite Model Reveals the Bounded Weights in Mobile Social Networks: A Case Study in Recommendation Network
    Jiaqi Liu, Cheng Deng, Luoyi Fu, Xinbing Wang
    IEEE Transactions on Mobile Computing, 2020
    PDF Code

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