Papers
DRSoRec: Dual-Rectification of Social Networks for Recommendation
Liangxun Yang, Tianzi Zang, Jiayi Sun et al.
A Novel Retrieve-Read-Group Paradigm for Open Knowledge Base Canonicalization
Binhan Yang, Wei Shen, Han Tian
SCoNE: Spherical Consistent Neighborhoods Ensemble for Effective and Efficient Multi-View Anomaly Detection
Yang Xu, Hang Zhang, Yixiao Ma et al.
IDK-S: Incremental Distributional Kernel for Streaming Anomaly Detection
Yang Xu, Yixiao Ma, Kaifeng Zhang et al.
Bridging Optimization and Neural Networks for Efficient Multi-view Clustering
Huilang Xu, Xiang-Xiang Su, Simin Chen et al.
Wavelet Enhanced Adaptive Frequency Filter for Sequential Recommendation
Huayang Xu, Huanhuan Yuan, Guanfeng Liu et al.
GUIDER: Uncertainty Guided Dynamic Re-ranking for Large Language Models Based Recommender Systems
Cai Xu, Xujing Wang, Ziyu Guan et al.
MetaGPT: A Large Vision-Language Model for Meme Metaphor Understanding
Bo Xu, Chenyuan Wang, Xinyu Chen et al.
Beyond Graph Priors: A Co-Evolving Framework Under Uncertainty for Enterprise Resilience Assessment
Yanzhe Xie, Li Huang, Qiang Gao et al.
CLUHCS:Dual-View Contrastive Learning Enabled Unsupervised Heterogeneous Community Search with Meta-Path Behavior Modeling
Xiaoqin Xie, Bin Zhao, Mingzhu Chang et al.
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.