CURRICULUM VITAE of Dixing (Dex) Xu

i@dex.moe dex.moe github.com/dexhunter London, UK

Last updated October 1, 2026

Research Interests

Autonomous agents for machine learning engineering and research, including tree search over code, agent harness design, evaluation pipelines, and recursive self-improvement of research agents. Earlier work on distributed machine learning systems, privacy-preserving machine learning at the IoT edge, and blockchain systems.

Education

Honors and Awards

Professional Experience

Publications

Refereed Journals

  1. Lightweight and Unobtrusive Data Obfuscation at IoT Edge for Remote Inference, by D. Xu, M. Zheng, L. Jiang, C. Gu, R. Tan, P. Cheng. 2020, IEEE Internet of Things Journal (IEEE IoT-J). doi:10.1109/JIOT.2020.2983278

Refereed Workshops

  1. Challenges of Privacy-Preserving Machine Learning in IoT, by M. Zheng, D. Xu, L. Jiang, C. Gu, R. Tan, P. Cheng. Pages 1-7, 2019, First International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (ACM AIChallengeIoT). doi:10.1145/3363347.3363357

Preprints

  1. Recursive Self-Improvement of AI Research Agents, by D. Srikanth, B. Zhao, D. Xu, Y. Wu, Z. Jiang. 2026, arXiv:2609.26457. arxiv.org/abs/2609.26457
  2. AIDE: AI-Driven Exploration in the Space of Code, by Z. Jiang, D. Schmidt, D. Srikanth, D. Xu, I. Kaplan, D. Jacenko, Y. Wu. 2025, arXiv:2502.13138. arxiv.org/abs/2502.13138
  3. A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem, by Z. Jiang, D. Xu, J. Liang. 2017, arXiv:1706.10059. arxiv.org/abs/1706.10059

External Presentations

  1. 2026, Hands-on AutoResearch: Cracking OpenAI's Parameter Golf, workshop with the Weco AI team, AI Engineer World's Fair, San Francisco.
  2. 2024, Algorithmic Trading Workshop, Network School. Slides
  3. 2019, Deep Learning for Power System Security Assessment. Slides
  4. 2019, Introduction to Hyperledger Fabric. Slides

Open Source Software

Major Media Exposure