activity
20222025
most citedODformer: Spatial-Temporal Transformers for Long Sequence Origin-Destination Matrix Forecasting Against Cross Application Scenario

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

SA-3DGS: A Self-Adaptive Compression Method for 3D Gaussian Splatting

Liheng Zhang, Weihao Yu, Zubo Lu +2

Recent advancements in 3D Gaussian Splatting have enhanced efficient and high-quality novel view synthesis. However, representing scenes requires a large number of Gaussian points,…

cs.CV2025

AsyMoE: Leveraging Modal Asymmetry for Enhanced Expert Specialization in Large Vision-Language Models

Heng Zhang, Haichuan Hu, Yaomin Shen +9

Large Vision-Language Models (LVLMs) have demonstrated impressive performance on multimodal tasks through scaled architectures and extensive training. However, existing Mixture of…

cs.LG2023

Two-stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems

Bosong Huang, Weihao Yu, Ruzhong Xie +2

Source localization is the inverse problem of graph information dissemination and has broad practical applications. However, the inherent intricacy and uncertainty in information d…

cs.IR2023

Lorentz Equivariant Model for Knowledge-Enhanced Hyperbolic Collaborative Filtering

Bosong Huang, Weihao Yu, Ruzhong Xie +2

Introducing prior auxiliary information from the knowledge graph (KG) to assist the user-item graph can improve the comprehensive performance of the recommender system. Many recent…

cs.AI2022★ 1 cited

ODformer: Spatial-Temporal Transformers for Long Sequence Origin-Destination Matrix Forecasting Against Cross Application Scenario

Jin Huang, Bosong Huang, Weihao Yu +3

Origin-Destination (OD) matrices record directional flow data between pairs of OD regions. The intricate spatiotemporal dependency in the matrices makes the OD matrix forecasting (…