Papers
MACRec: A Multi-View Subspace Alignment Framework for Contrastive Sampling Calibration in Recommendation
Junping Liu, Mingchao Yu, Xinrong Hu et al.
Debate over Mixed-knowledge: A Robust Multi-Agent Reasoning Framework for Incomplete Knowledge Graph Question Answering
Jilong Liu, Pengyang Shao, Wei Qin et al.
MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommender
Jialin Liu, Zhaorui Zhang, Ray C.C. Cheung
Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution
Hua Liu, Yanbin Wei, Fei Xing et al.
Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation
Hongyang Liu, Zhu Sun, Tianjun Wei et al.
Relative Advantage Debiasing for Watch-Time Prediction in Short-Video Recommendation
Emily Liu, Kuan Han, Minfeng Zhan et al.
RAGAR: Retrieval Augmented Personalized Image Generation Guided by Recommendation
Run Ling, Wenji Wang, Yuting Liu et al.
Multifaceted Scenario-Aware Hypergraph Learning for Next POI Recommendation
Yuxi Lin, Yongkang Li, Jie Xing et al.
Comprehensive Urban Region Representation Learning via Multi-View Joint Learning and Contrastive Learning
Yingde Lin, Yuanbo Xu, Lu Jiang et al.
Learnable Matrix Profile for Motif Discovery on Multivariate Time Series
Mingkai Lin, Yinke Wang, Xiaobin Hong et al.
Stepwise Contrastive Reasoning for Retrieval-Augmented Generation over Knowledge Graphs
Chenxiao Lin, Ye Luo, KunHong Liu et al.
AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization
Jingyi Liao, Yongyi Su, Rong-Cheng Tu et al.
Sign-Aware Multimodal Graph Recommendation
Yahong Lian, Haotian Tian, Chunyao Song et al.
Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection
Jie Lian, Zhihao Wu, Jielong Lu et al.
Towards Synthesizing High-Dimensional Tabular Data with Limited Samples
Zuqing Li, Junhao Gan, Jianzhong Qi
Capturing Dynamic User Interests Under Modality Imbalance for Multimodal Sequential Recommendation
Zilong Li, Jia Zhu, Chenglei Huang et al.
BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation
Yupeng Li, Mingyue Cheng, Yucong Luo et al.
APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift
Yujie Li, Zezhi Shao, Chengqing Yu et al.
DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs
Yuan Li, Jun Hu, Bryan Hooi et al.
Data-Centric Sequential Recommendation with Relation-Augmented Generation
Yichen Li, Yichen Tan, Yijing Shan et al.
RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation
Xuetao Li, Wenke Huang, Nengyuan Pan et al.
Exploring Domain Generalization and Subpopulation Shift for Generalizable Graph-Level Anomaly Detection
Xiaoxiang Li, Xihe Xie, Hai Wan et al.
Self-Improving Sparse Retrieval Through Heuristic Representation Refinement and Representation-Focused Learning
Xiaojing Li, Bin Wang, Xiaochun Yang et al.
Multiplex Heterogeneous Graph Neural Networks with Euclidean-Riemannian Mutual Space Synergy
Xiang Li, Yuan Cao, Zhongying Zhao et al.