DI QI

2 accepted papers

2026

DOCKSMITH: Scaling Reliable Coding Environments via an Agentic Docker Builder

Jiaran Zhang, Lu Ma, Yanhao Li, Fanqi Wan, DI QI, Xin Wu +5

ICML 2026poster

Reliable Docker-based environment construction is a dominant bottleneck for scaling execution-grounded training and evaluation of software engineering agents. We introduce DockSmith, a specialized agentic Docker builder designed to address this challenge. DockSmith treats environment construction no…

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2023

Slot-guided Volumetric Object Radiance Fields

DI QI, Tong Yang, Xiangyu Zhang

NeurIPS 2023poster

We present a novel framework for 3D object-centric representation learning. Our approach effectively decomposes complex scenes into individual objects from a single image in an unsupervised fashion. This method, called \underline{s}lot-guided \underline{V}olumetric \underline{O}bject \underline{R}ad…

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