most citedOutlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Consistent Plan-Act for Long-Horizon Agentic Tasks

Heng-Zhuang Li, Yi-Kai Zhang, Yu Wang +4

Long-horizon agentic tasks demand strong reasoning and efficient execution across successive interactions with dynamic environments. A common approach decouples high-level planning…

cs.CV2025

Unleashing the Intrinsic Visual Representation Capability of Multimodal Large Language Models

Hengzhuang Li, Xinsong Zhang, Qiming Peng +6

Multimodal Large Language Models (MLLMs) have demonstrated remarkable proficiency in multimodal tasks. Despite their impressive performance, MLLMs suffer from the modality imbalanc…

cs.CV2025

Distribution Matching Distillation Meets Reinforcement Learning

Dengyang Jiang, Dongyang Liu, Zanyi Wang +12

Distribution Matching Distillation (DMD) facilitates efficient inference by distilling multi-step diffusion models into few-step variants. Concurrently, Reinforcement Learning (RL)…

cs.CV2025

AffordanceSAM: Segment Anything Once More in Affordance Grounding

Dengyang Jiang, Zanyi Wang, Hengzhuang Li +7

Building a generalized affordance grounding model to identify actionable regions on objects is vital for real-world applications. Existing methods to train the model can be divided…

cs.LG2025★ 1 cited

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection

Hengzhuang Li, Teng Zhang

Out-of-distribution (OOD) detection is crucial for developing trustworthy and reliable machine learning systems. Recent advances in training with auxiliary OOD data demonstrate eff…