Papers
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.
Adaptive Diffusion-based Augmentation for Recommendation
Na Li, Fanghui Sun, Yan Zou et al.
Can Molecular Evolution Mechanism Enhance Molecular Representation?
Kun Li, Longtao Hu, Jiameng Chen et al.
Subspace-Aware Graph Construction and Contrastive Alignment for Multimodal Recommendation with Large Language Models
Haodong Li, Lianyong Qi, Weiming Liu et al.
Knowledge-Enhanced Image Captioning with Adaptive Graph-based Multimodal Alignment and LLM
Guoyi Li, Die Hu, Haozhe Li et al.
Interest-Shift-Aware Logical Reasoning for Efficient Long-Sequence Recommendation
Fei Li, Qingyun Gao, Enneng Yang et al.
CL-DMDF: Dynamic Multimodal Data Fusion Model Based on Contrastive Learning
Dong Li, Lingling Zhang, Binghao Han et al.
FreqTAD: Multi-scale Frequency Encoding and Time-Frequency Attention for Anomaly Detection in Dynamic Graphs
Chao Li, Runshuo Liu, Zhongying Zhao et al.
SGP4SR: Separated-Modality Guided User Preference Learning for Multimodal Sequential Recommendation
Changhong Li, Zhiqiang Guo, Guohui Li et al.
Think Then Rewrite: Reasoning Enhanced Query Rewriting for Domain Specific Retrieval
Ang Li, Yufei Shi, Yuxuan Si et al.
MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity
Zhichen Lai, Hua Lu, Huan Li et al.
SACO: Sequence-Aware Constrained Optimization Framework for Coupon Distribution in E-commerce
Li Kong, Bingzhe Wang, Zhou Chen et al.
CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift
HyunGi Kim, Jisoo Mok, Hyungyu Lee et al.
PEOCH: Online Cross-Modal Hashing with Semi-Supervised Streaming Data Driving Prototype Evolution
Xiao Kang, Xingbo Liu, Shuo Pan et al.
Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection
Minseo Kang, Seunghwan Park, Dongha Kim
Revisiting Contrastive Learning in Collaborative Filtering via Parallel Graph Filters
Fang Kai, Yu Zhang, Kaibin Wang et al.