activity
20242026
most citedData-Centric Foundation Models in Computational Healthcare: A Survey

22 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

CABLE: Extending the Reach of Memory Retrieval via Complementary Antecedent-Based Linking and Expansion

Zheling Tan, Jin Gao, Dequan Wang

As LLM agents operate across structured workflows and sessions, preserving long-term history does not ensure that later contexts can recover relevant evidence through a bounded mem…

cs.CV2026

LU-500: A Logo Benchmark for Concept Unlearning

Keyu Li, Jin Gao, Jialing Zhang +1

Concept unlearning is increasingly used to limit the reproduction of protected or unsafe visual concepts in text-to-image models. Existing evaluations, however, mostly study target…

cs.LG2025

MedForge: Building Medical Foundation Models Like Open Source Software Development

Zheling Tan, Kexin Ding, Jin Gao +4

Foundational models (FMs) have made significant strides in the healthcare domain. Yet the data silo challenge and privacy concern remain in healthcare systems, hindering safe medic…

cs.CV2024★ 8 cited

OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine

Xiaosong Wang, Xiaofan Zhang, Guotai Wang +17

The emerging trend of advancing generalist artificial intelligence, such as GPTv4 and Gemini, has reshaped the landscape of research (academia and industry) in machine learning and…

cs.LG2024★ 22 cited

Data-Centric Foundation Models in Computational Healthcare: A Survey

Yunkun Zhang, Jin Gao, Zheling Tan +5

The advent of foundation models (FMs) as an emerging suite of AI techniques has struck a wave of opportunities in computational healthcare. The interactive nature of these models,…