Papers
The Last Byte: Learning Just Enough for Machine-Oriented Image Compression
Wuyuan Xie, Zhenming Li, Ye Liu et al.
FT-MoE: Sustainable-learning Mixture of Experts for Fault-Tolerant Computing
Wenjing Xiao, Wenhao Song, Miaojiang Chen et al.
From Points to Coalitions: Hierarchical Contrastive Shapley Values for Prioritizing Data Samples
Canran Xiao, Jiabao Dou, Zhiming Lin et al.
ICAD-LLM: One-for-All Anomaly Detection via In-Context Learning with Large Language Models
Zhongyuan Wu, Jingyuan Wang, Zexuan Cheng et al.
REACTION: Parameter-Efficient Learning for Recommendation
Song-Li Wu, Zhaocheng Du, Qinglin Jia et al.
DARLING: Dual Hypergraph-Enhanced Curriculum-Guided Graph Structure Learning for Node Classification
Guangkai Wu, Gen Liu, Chao Li et al.
MoCast: Learning Turbulent Motions Under Physical Guidance for Precipitation Nowcasting
Binqing Wu, Weiqi Chen, Shiyu Liu et al.
AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting
Binqing Wu, Zongjiang Shang, Shiyu Liu et al.
DMGIN: How Multimodal LLMs Enhance Large Recommendation Models for Lifelong User Post-click Behaviors
Zhuoxing Wei, Qingchen Xie, Qi Liu et al.
T-Retriever: Tree-based Hierarchical Retrieval Augmented Generation for Textual Graphs
Chunyu Wei, Huaiyu Qin, Siyuan He et al.
Knowledge Graph Guided Heterogeneity-Informed Diffusion Model for Spatio-Temporal Generation
Zi'ang Wang, Lei Chen, Yuanchang Jin et al.
MoMoREC: A Multi-agent Motivation Generation Framework for Residual Semantic ID-Aware Recommendation
Yige Wang, Mingming Li, Li Wang et al.
Bid Farewell to Seesaw: Towards Accurate Long-Tail Session-Based Recommendation via Dual Constraints of Hybrid Intents
Xiao Wang, Ke Qin, Dongyang Zhang et al.
Sat2Flow: A Structure-Aware Diffusion Framework for Human Flow Generation from Satellite Imagery
Xiangxu Wang, Tianhong Zhao, Wei Tu et al.
MSR-Rec: Multi-Step Reasoning-Enhanced LLM for Sequential Recommendation
Tuo Wang, Meng Jian, Ge Shi et al.
ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation
Shu Wang, Yixiang Fang, Yingli Zhou et al.
Assessing LLMs for Serendipity Discovery in Knowledge Graphs: A Case for Drug Repurposing
Mengying Wang, Chenhui Ma, Ao Jiao et al.
From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection
Luzhi Wang, Xuanshuo Fu, He Zhang et al.
Robust Domain Adaptive Hashing via Structural Noise Modeling and Correction
Junsheng Wang, Tiantian Gong, Yeyun Wu et al.
Task-Aware Meta-Learning on Heterogeneous Knowledge Graph for POI Recommendation
Jingyuan Wang, Zhichun Wang, Tong Lu et al.
TOP-RL: Task-Optimized Progressive Token Pruning with Reinforcement Learning for Vision Language Models
Hengyi Wang, Weiying Xie, Hui Jiang et al.
HFR-MKGC: Hierarchical Fusion Reasoning with MLLMs for Multi-modal Knowledge Graph Completion
Di Wang, Junping Du, Zhe Xue et al.
TGCA-LLM: Time-Aware Graph-Text Contrastive Alignment for Enhancing LLMs in Temporal Knowledge Graph Completion
Zexuan Wan, Bo Wang, Kuofei Fang et al.
OnlineBootKNN: An Unsupervised Framework for Detecting Anomalies in Spectral Data Streams
Nicolas Rojas Varela, Julien Ah-Pine, Engelbert Mephu Nguifo