5 papers
Geometry-aware neural causal discovery for large-scale spatiotemporal systems
Haoyang Yan, Kaiqi Zhao, Weiping Wang +2
Causal discovery at large spatiotemporal scale is difficult: variables are physically embedded, candidate interactions grow quadratically with system size, and causal structure cha…
Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts
Xianda Zheng, Zijian Huang, Meng-Fen Chiang +4
Explicit knowledge conflicts, occurring when retrieved contexts contain contradictory information, pose a fundamental challenge for Large Language Models (LLMs) as they integrate i…
MMS-VPR: Multimodal Street-Level Visual Place Recognition Dataset and Benchmark
Yiwei Ou, Xiaobin Ren, Ronggui Sun +3
Existing visual place recognition (VPR) datasets predominantly rely on vehicle-mounted imagery, offer limited multimodal diversity, and underrepresent dense pedestrian street scene…
AnchorGK: Anchor-based Incremental and Stratified Graph Learning Framework for Inductive Spatio-Temporal Kriging
Xiaobin Ren, Kaiqi Zhao, Katerina Taškova +1
Spatio-temporal kriging is a fundamental problem in sensor networks, driven by the sparsity of deployed sensors and the resulting missing observations. Although recent approaches m…
AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning
Xiaobin Ren, Xinyu Zhu, Kaiqi Zhao
Currently, considerable strides have been achieved in Point-of-Interest (POI) embedding methodologies, driven by the emergence of novel POI tasks like recommendation and classifica…