Showing 1–20 of 64 results
/ Date/ Name
Apr 14, 2023Preserving Locality in Vision Transformers for Class Incremental LearningMay 4, 2023Rethinking Population-assisted Off-policy Reinforcement LearningNov 18, 2024The blow-up dynamics for the divergence Schrödinger equations with inhomogeneous nonlinearityMar 2, 2025Task-Agnostic Guided Feature Expansion for Class-Incremental LearningJun 11, 2025Revisiting Diffusion Models: From Generative Pre-training to One-Step GenerationMar 26, 2024Waveform Design for Joint Communication and SAR Imaging Under Random SignalingAug 1, 2023High-fidelity achromatic metalens imaging via deep neural networkMar 20, 2024Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment RecommendationJun 16, 2025Integrated Pipeline for Monocular 3D Reconstruction and Finite Element Simulation in Industrial ApplicationsDec 4, 2025Rethinking Decoupled Knowledge Distillation: A Predictive Distribution PerspectiveSep 9, 2024Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for RecommendationNov 18, 2024Global existence and blow-up for the variable coefficient Schrödinger equations with a linear potentialSep 15, 2025Learning Singularity-Encoded Green's Functions with Application to Iterative MethodsJan 25, 2025EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement LearningOct 9, 2024Neural Green's Function Accelerated Iterative Methods for Solving Indefinite Boundary Value ProblemsFeb 3, 2017Mechanical Wave Propagation within Nanogold Granular CrystalsMay 22, 2025DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based RecommendationApr 6, 2025Universal Item Tokenization for Transferable Generative RecommendationNov 15, 2023Adapting Large Language Models by Integrating Collaborative Semantics for RecommendationApr 6, 2025Pre-training Generative Recommender with Multi-Identifier Item Tokenization