Papers
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.
Inference-time Scaling for Diffusion-based Audio Super-resolution
Yizhu Jin, Zhen Ye, Zeyue Tian et al.
Mitigating Noise and Imbalance in Social Governance Graphs for Multi-Type Risk Assessment
Di Jin, Haotian Zhao, Xiaobao Wang et al.
Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation
Chenghou Jin, Yixin Ren, Hongxu Ma et al.
CAFU: Constrained Alignment and Filtered Uniformity for Denoising Recommendation
Xinzhe Jiang, Lei Sang, Yi Zhang et al.
Towards Multimodal Continual Knowledge Embedding with Modality Forgetting Modulation
Xiaowen Jiang, Jing Yang, ShunDong Yang et al.
SSCL: Adversarially Guided Image Compression via Semantic and Spectral Consistency Learning
Wei Jiang, Yongqi Zhai, Jiayu Yang et al.
LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation
Hao Jiang, Guoquan Wang, Donglin Zhou et al.
DuoKD: Dual Knowledge Distillation from Large Language Models for Robust Graph Neural Networks
Cuiying Huo, Xiaotong Huang, Dongxiao He et al.
FusedRec: Fused Embedding Communication for Distributed Recommendation Training on GPUs
Xuanteng Huang, Fan Li, Riyang Hu et al.
Context-aware Graph Meta-learning
Ningbo Huang, Gang Zhou, Meng Zhang et al.