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20222026
most citedDive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks

7 citations · 7 across the 5 of their papers we have counts for

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2 papers · 1 filter

cs.CV2026

Dreaming in Flow: Generative Grounding Feedback for Self-Evolving Unified Multimodal Models

Ke Hao, Yuanzhi Liang, Tingxi Chen +5

Unified multimodal models integrate visual understanding and generation within a single network, yet the two capabilities are commonly optimized as separate tasks. We introduce Gen…

cs.CV2026

Learning to Credit the Right Steps: Objective-aware Process Optimization for Visual Generation

Rui Li, Ke Hao, Yuanzhi Liang +4

Reinforcement learning, particularly Group Relative Policy Optimization (GRPO), has emerged as an effective framework for post-training visual generative models with human preferen…