From the 2 of 29 papers with an AI index.
14 citations
- Chinese Academy of SciencesCN19 papers
- University of Chinese Academy of SciencesCN8 papers
- Peking UniversityCN3 papers
- Tsinghua UniversityCN3 papers
- Beihang UniversityCN1 paper
- Beijing Academy of Artificial IntelligenceCN1 paper
- Beijing Institute of Mathematical Sciences and Applications1 paper
- Beijing Institute of TechnologyCN1 paper
- Canada Research ChairsCA1 paper
- Centre de Recherche en Mathématiques de la DécisionFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Département de mathématiques et applicationsFR1 paper
29 papers
DualHNIE: Dual-Channel Hypergraph Learning for Node Importance Estimation in Heterogeneous Knowledge Graphs
Jiawen Chen, Yanyan He, Qi Shao +4
The paper introduces DualHNIE, a dual‑channel hypergraph framework that constructs meta‑path based hyperedges and employs separate structure‑aware and semantic‑aware encoders with…
On the constituents of the mod cohomology of Shimura curves
Christophe Breuil, Florian Herzig, Yongquan Hu +2
The paper studies the structure of smooth admissible representations of GL₂ over an unramified p‑adic field that appear in the mod p cohomology of Shimura curves, giving detailed d…
Pole Dynamics, Linearization, and Perturbations of the Satsuma--Mimura Equation
Yan Lingjuan, Hu Xingbiao, Liu Yajie +1
This paper investigates the pole dynamics and perturbation theory of algebraic soliton solutions associated with the Satsuma--Mimura (SM) equation. First, we give a qualitative ana…
CSympNet-ID: conformal-symplectic map learning for linearly damped Hamiltonian systems
Jiale Gong, Pengzhan Jin, Dongyang Kuang +2
Learning dissipative dynamics from discrete observations is essential for reliable long-horizon prediction and physically meaningful parameter identification. For linearly damped H…
On a fast consistent selection of nested models with possibly unnormalized probability densities
Rong Bian, Kung-Sik Chan, Bing Cheng +1
Models with unnormalized probability density functions are ubiquitous in statistics, artificial intelligence and many other fields. However, they face significant challenges in mod…
Error estimates of time-splitting schemes for nonlinear Klein--Gordon equation with rough data
Lun Ji, Xiaofei Zhao
In this work, we consider the convergence analysis of time-splitting schemes for the nonlinear Klein--Gordon/wave equation under rough initial data. The optimal error bounds of the…