activity
20152026
most citedA Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects

21 citations · 60 across the 14 of their papers we have counts for

collaborators

15 papers

cs.LG2026

FTD-GNO: Memory-Efficient Graph Neural Operators through Functional Tensor Decomposition of the Kernel

Xiaomin Zhang, Boyue Wang, Junbin Gao +1

Graph Neural Operators (GNOs) provide flexible surrogate models for learning solution operators of partial differential equations (PDEs). However, standard GNOs typically parameter…

cs.CV2026

TagaVLM: Topology-Aware Global Action Reasoning for Vision-Language Navigation

Jiaxing Liu, Zexi Zhang, Xiaoyan Li +3

Vision-Language Navigation (VLN) presents a unique challenge for Large Vision-Language Models (VLMs) due to their inherent architectural mismatch: VLMs are primarily pretrained on…

cs.RO2025

Sky-Drive: A Distributed Multi-Agent Simulation Platform for Human-AI Collaborative and Socially-Aware Future Transportation

Zilin Huang, Zihao Sheng, Zhengyang Wan +10

Recent advances in autonomous system simulation platforms have significantly enhanced the safe and scalable testing of driving policies. However, existing simulators do not yet ful…

cs.AI2024

IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion

Jiapu Wang, Zheng Cui, Boyue Wang +4

Temporal Knowledge Graphs (TKGs) incorporate a temporal dimension, allowing for a precise capture of the evolution of knowledge and reflecting the dynamic nature of the real world.…

cs.LG2024★ 11 cited

TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models

Yilong Ren, Yue Chen, Shuai Liu +3

Traffic prediction constitutes a pivotal facet within the purview of Intelligent Transportation Systems (ITS), and the attainment of highly precise predictions holds profound signi…

cs.CV2023

Center Focusing Network for Real-Time LiDAR Panoptic Segmentation

Xiaoyan Li, Gang Zhang, Boyue Wang +2

LiDAR panoptic segmentation facilitates an autonomous vehicle to comprehensively understand the surrounding objects and scenes and is required to run in real time. The recent propo…