collaborators

5 papers

eess.IV2026

RePrior: Measurement-Reconciled Prior Correction for Sparse-View CBCT Reconstruction

Mengrui Yin, Tianxingjian Ding, Wufan Zhao +2

Sparse-view cone-beam computed tomography (CBCT) is severely under-constrained by limited X-ray projections. Learned reconstruction can provide complementary anatomical information…

cs.LG2026

Safe on Average, Unsafe in the Tail: When Is the Episodic-Cost Tail Controllable?

Samuel Tetteh, Cody Fleming

Safe reinforcement learning seeks policies that maximize return while satisfying constraints on cumulative cost. Most methods impose these constraints on expected episodic cost. Co…

cs.CV2026

Conditional Multi-Event Temporal Grounding in Long-Form Video

Yuanhao Zou, Arthad Kulkarni, Lucas Tonanez +12

Multimodal large language models have made rapid progress in video temporal grounding, yet real-world applications routinely require localizing every event that satisfies compositi…

cs.CV2026

Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation

Chongcong Jiang, Tianxingjian Ding, Chuhan Song +7

Promptable segmentation foundation models such as SAM3 have demonstrated strong generalization capabilities through interactive and concept-based prompting. However, their direct a…

cs.LG2025

CLARITY: Medical World Model for Guiding Treatment Decisions by Simulating Context-Aware Disease Trajectories

Tianxingjian Ding, Yuanhao Zou, Chen Chen +2

Clinical decision-making in oncology requires forecasting how disease evolves under treatment, yet most AI systems remain static predictors that cannot model longitudinal, treatmen…