About me

Story
I'm Gan Liu (刘淦) — a founding engineer and 3D-vision researcher based in Shenzhen. I like working at the boundary between hard systems problems and products people actually use, and I try to own the whole path between them.
My research is in real-time 3D reconstruction. With collaborators at SUSTech and the Jiang Liu lab, I worked on depth estimation and SLAM for ophthalmic and endoscopic surgery — settings where there is no depth sensor, the tissue deforms, and classical geometry drifts. That line of work led to a paper at CVPR 2026 (RetinalDepth-64K) and the SurgFM-SLAM project on adapting 3D foundation models.
As a founding engineer at Citronetic, I work on post-training data and environments for AI agents. We build simulated workplaces where a model has to read the inbox, dig through chats and docs, and write back to the right person — and where every task can be graded, so the same environment that evaluates an agent can also train it. I've also built the agent infrastructure underneath: unified MCP + REST contracts, multi-agent orchestration through a shared board state machine, and model routing with graceful degradation.
I care about clarity and craftsmanship: the contract that stays stable, the fallback that never hard-fails, and the small details that make software feel fast and alive.
My stack
Research
View allBingwen Dong†, Gan Liu†, Xiaoxi Lu†, Guangcheng Chen, Jialu Zhang, Yan Hu, Xiaoqing Zhang, Jiang Liu
Real2Sim2Real: RetinalDepth-64K for Depth Estimation in Posterior Segment Ophthalmic Surgery
IEEE/CVF CVPR 2026pp. 26899–26908† Equal contributionMonocular depth3D visionSim-to-realSurgical AIXiaoxi Lu†, Gan Liu†, Bingwen Dong†, Guangcheng Chen, Mingdao Gong, Yan Hu, Xiaoqing Zhang, Jiang Liu
SurgFM-SLAM: Robust Surgical Scene Reconstruction via 3D Foundation Model Adaptation
Research project 2025† Equal contributionSLAM3D reconstructionFoundation-model adaptationSurgical AI