Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics

Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs

Range-aware Graph Positional Encoding via High-order Pretraining: Theory and Practice

EvoSynth: Enabling Multi-Target Drug Discovery through Latent Evolutionary Optimization and Synthesis-Aware Prioritization

TESGNN: 3D Temporal Equivariant Scene Graph Neural Networks (published at TMLR)

FFTMed: leveraging fast-fourier transform for a lightweight and adversarial-resilient medical image segmentation framework (published at Scientific Reports - Nature)

AdaptFNO: Adaptive Fourier Neural Operator with Dynamic Spectral Modes and Multiscale Learning

Hierarchical Directed Capacitated Arc Routing Problem (HDCARP)

Rotationally Equivariant Hypergraph Neural Networks (EquiHGNN)

DiffPlace: A Conditional Diffusion Framework for Simultaneous VLSI Placement Beyond Sequential Paradigms