140 citations · 189 across the 5 of their papers we have counts for
5 papers
Recursive self-improvement of AI research agents
Dhruv Srikanth, Bingchen Zhao, Dixing Xu +2
AI agents are beginning to automate research and development across the AI stack, from improving training efficiency to optimizing inference. A natural next step is to improve the…
AIDE: AI-Driven Exploration in the Space of Code
Zhengyao Jiang, Dominik Schmidt, Dhruv Srikanth +4
Machine learning, the foundation of modern artificial intelligence, has driven innovations that have fundamentally transformed the world. Yet, behind advancements lies a complex an…
Lightweight and Unobtrusive Data Obfuscation at IoT Edge for Remote Inference
Dixing Xu, Mengyao Zheng, Linshan Jiang +3
Executing deep neural networks for inference on the server-class or cloud backend based on data generated at the edge of Internet of Things is desirable due primarily to the limite…
Challenges of Privacy-Preserving Machine Learning in IoT
Mengyao Zheng, Dixing Xu, Linshan Jiang +3
The Internet of Things (IoT) will be a main data generation infrastructure for achieving better system intelligence. However, the extensive data collection and processing in IoT al…
A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem
Zhengyao Jiang, Dixing Xu, Jinjun Liang
Financial portfolio management is the process of constant redistribution of a fund into different financial products. This paper presents a financial-model-free Reinforcement Learn…