7 papers
Physics-informed Diffusion Generation for Geomagnetic Map Interpolation
Wenda Li, Tongya Zheng, Kaixuan Chen +8
Geomagnetic map interpolation aims to infer unobserved geomagnetic data at spatial points, yielding critical applications in navigation and resource exploration. However, existing…
Learning Multi-Modal Mobility Dynamics for Generalized Next Location Recommendation
Junshu Dai, Yu Wang, Tongya Zheng +6
The precise prediction of human mobility has produced significant socioeconomic impacts, such as location recommendations and evacuation suggestions. However, existing methods suff…
Neural Graph Navigation for Intelligent Subgraph Matching
Yuchen Ying, Yiyang Dai, Wenda Li +6
Subgraph matching, a cornerstone of relational pattern detection in domains ranging from biochemical systems to social network analysis, faces significant computational challenges…
Towards Efficient LLM-aware Heterogeneous Graph Learning
Wenda Li, Tongya Zheng, Shunyu Liu +7
Heterogeneous graphs are widely present in real-world complex networks, where the diversity of node and relation types leads to complex and rich semantics. Efforts for modeling com…
Bi-level Mean Field: Dynamic Grouping for Large-Scale MARL
Yuxuan Zheng, Yihe Zhou, Feiyang Xu +2
Large-scale Multi-Agent Reinforcement Learning (MARL) often suffers from the curse of dimensionality, as the exponential growth in agent interactions significantly increases comput…
SeRL: Self-Play Reinforcement Learning for Large Language Models with Limited Data
Wenkai Fang, Shunyu Liu, Yang Zhou +5
Recent advances have demonstrated the effectiveness of Reinforcement Learning (RL) in improving the reasoning capabilities of Large Language Models (LLMs). However, existing works…