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Cheng DENG (Daven)

Research Fellow
Bayes Centre, CSE
University of Edinburgh
cdeng (at) ed.ac.uk
My Blog

About Me

I build efficient AI systems that make foundation models and agents practical for real-world products, edge devices, and intelligent infrastructure.

Currently, I am a Research Fellow at the Bayes Centre, University of Edinburgh, working in collaboration with Prof. Luo Mai, Prof. Jeff Pan, and Prof. Jun Wang. I also serve as a Visiting Research Fellow at Li Auto. Prior to joining the University of Edinburgh, I was a Research Assistant at the Hong Kong University of Science and Technology (Guangzhou), where I worked with Prof. Lei Chen and Prof. Lionel M. Ni. I obtained my Ph.D. at Shanghai Jiao Tong University, where I was fortunate to be supervised by Prof. Weinan Zhang, Prof. Luoyi Fu, and Prof. Xinbing Wang. During my early research career, I interned with the Data Team at TikTok and worked as an Applied Scientist Intern at Amazon Shanghai AI Lab. In 2021, I was selected for the Wenjun Wu Honored Ph.D. Class.

My research focuses on building efficient and deployable AI agent systems, spanning data-centric model training, efficient machine learning algorithms, and AI agents. My goal is to translate cutting-edge AI research into practical solutions for real-world industrial and manufacturing applications.

Efficient AI Agent Loop: Observation, Domain model, AI Agent, Deployment

News

Highlights

Efficient LLM on edge hardware

Hardware Co-Design Scaling Law

Roofline-based scaling laws matching LLM/VLA architectures to edge hardware under latency, memory, and energy constraints.

arXiv

PLM — Peripheral Language Model

A 1.8B model hardware-co-designed for on-device and ubiquitous computing.

arXivCode

World Action Models Fast Adaptation to Tasks

Learning world action models for specific tasks only using limited industrial data.

Ongoing

GeoGalactica

GeoGalactica

A scientific large language model for geoscience knowledge and discovery.

arXivCode

K2 overview

K2

The first foundation language model for geoscience knowledge understanding and utilization.

arXivCode

GAKG overview

GAKG

A multimodal geoscience academic knowledge graph.

PageCode

Selected Publications [Google Citation]

  1. Preprint Hardware Co-Design Scaling Laws via Roofline Modelling for On-Device LLMs
    Luoyang Sun, Jiwen Jiang, Yifeng Ding, Fengfa Li, Yan Song, Haifeng Zhang, Jian Ying, Lei Ren, Kun Zhan, Wei Chen, Yan Xie, Cheng Deng*
    PDF
  2. MLSys 2026 ContextPilot: Fast Long-Context Inference via Context Reuse
    Yinsicheng Jiang, Yeqi Huang, Liang Cheng, Cheng Deng, Xuan Sun, Luo Mai
    International Conference on Machine Learning Systems, 2026.
    PDF
  3. ICLR 2026 SpatialViz-Bench: Automatically Generated Spatial Visualization Reasoning Tasks for MLLMs
    Siting Wang, Luoyang Sun, Cheng Deng*, Kun Shao, Minnan Pei, Zheng Tian, Haifeng Zhang, Jun Wang
    International Conference on Learning Representations, 2026.
    PDF
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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

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