Papers
HiLoMix: Robust High- and Low-Frequency Graph Learning Framework for Mixing Address Association
Xiaofan Tu, Tiantian Duan, Shuyi Miao et al.
Task-Aware Retrieval Augmentation for Dynamic Recommendation
Zhen Tao, Xinke Jiang, Qingshuai Feng et al.
Cross-modal Proxy Evolving for OOD Detection with Vision-Language Models
Hao Tang, Yu Liu, Shuanglin Yan et al.
Generalising Traffic Forecasting to Regions Without Traffic Observations
Xinyu Su, Majid Sarvi, Feng Liu et al.
Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm
Jiajie Su, Zihan Nan, Yunshan Ma et al.
Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models
Tianrui Song, Wen-Shuo Chao, Hao Liu
AnoStyler: Text-Driven Localized Anomaly Generation via Lightweight Style Transfer
Yulim So, Seokho Kang
SEQRET: Mining Rule Sets from Event Sequences
Aleena Siji, Joscha Cüppers, Osman Mian et al.
SA²GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation
Junhua Shi, Qingyun Sun, Haonan Yuan et al.
Information-Theoretic Minimal Sufficient Representation for Multi-Domain Knowledge Graph Completion
Jiawei Sheng, Taoyu Su, Weiyi Yang et al.
ContextGraph: Lifelog Intelligence Framework for Contextual Subgraph Evolution
Anil Sharma, Gunturi Venkata Sai Phani Kiran, Jayesh Rajkumar Vachhani et al.
HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting
Minlan Shao, Zijian Zhang, Yili Wang et al.
Bidirectional Counterfactual Distillation for Review-Based Recommendation
Sheng Sang, Shujie Li, Shuaiyang Li et al.
Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models
Yongwen Ren, Chao Wang, Peng Du et al.
TGDD: Trajectory Guided Dataset Distillation with Balanced Distribution
Fengli Ran, Xiao Pu, Bo Liu et al.
Adaptive Frequency Pathways for Spatiotemporal Forecasting
Yanjun Qin, Yuchen Fang, Xinke Jiang et al.
Unbiased Rectification for Sequential Recommender Systems Under Fake Orders
Qiyu Qin, Yichen Li, Haozhao Wang et al.
WaveDiST: A Wavelet Diffusion Transformer for Spatio-Temporal Estimation on Unobserved Locations
Huiling Qin, Yuanxun Li, Weijia Jia
Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection
Long Qian, Bingke Zhu, Yingying Chen et al.
UNO! UNified Offline Training Paradigm for Learning Path Recommendation
Linzhi Peng, Wentao Zhu, Ke Cheng et al.
Think Wise, Collaborate Effectively: A Rationale-Aware LLM-Based Recommender with Reinforcement Learning from Collaborative Signals
Chung Park, Taesan Kim, Hyeongjun Yun et al.
RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models
Dayan Pan, Jingyuan Wang, Yilong Zhou et al.
Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning
Rui Ou, Kun Zhu, Nana Zhang et al.
GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection
Zhenliang Ni, Qiangyu Yan, Mouxiao Huang et al.
R²D-LPCC: Relevance-Ranking Guided Region-Adaptive Dynamic LiDAR Point Cloud Compression
Fangzhe Nan, Frederick W. B. Li, Gary K. L. Tam et al.