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Menglin Zhang

2 accepted papers

2026

Exploiting Geometric Structures for Modeling Multi-Agent Behaviors: A New Thinking

AAAI 2026technical

In this paper, we rethink model agent behaviors from a geometric structure perspective in multi-agent reinforcement learning. Modeling agent behaviors is essential for understanding how agents interact and facilitating effective decisions. The key lies in capturing the dependencies and sequential re

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2025

When Schrodinger Bridge Meets Real-World Image Dehazing with Unpaired Training

ICCV 2025poster

Recent advancements in unpaired dehazing, particularly those using GANs, show promising performance in processing real-world hazy images. However, these methods tend to face limitations due to the generator's limited transport mapping capability, which hinders the full exploitation of their effectiv…

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