Papers
NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation
Yuan Gao, Hao Wu, Fan Xu et al.
Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space
Xingcheng Fu, Shengpeng Wang, Yisen Gao et al.
DeepRAHT: Learning Predictive RAHT for Point Cloud Attribute Compression
Chunyang Fu, Tai Qin, Shiqi Wang et al.
Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation
Difu Feng, Qianqian Xu, Zitai Wang et al.
Stable and Adaptive Fusion for Multi-domain Multi-task Recommendation
Ke Fei, Da Luo, Kangyi Lin et al.
Subgraph Encoding with Bicentric Sphere Node Labeling and Pooling for Link Prediction
Zhihong Fang, Shaolin Tan, Qiu Fang et al.
Multi-granularity Intent Modeling with Adversarial Robustness for Sequential Recommendation
Yangyi Fang, Haolin Shi
HISE-KT: Synergizing Heterogeneous Information Networks and LLMs for Explainable Knowledge Tracing with Meta-Path Optimization
Zhiyi Duan, Zixing Shi, Hongyu Yuan et al.
Transferable Graph Condensation from the Causal Perspective
Huaming Du, Yijie Huang, Su Yao et al.
Inductive Generative Recommendation via Retrieval-based Speculation
Yijie Ding, Jiacheng Li, Julian McAuley et al.
Scalable Semi-supervised Community Search via Graph Transformer on Attributed Heterogeneous Information Networks
Linlin Ding, Zhaosong Zhao, Mo Li et al.
ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion
Ling Ding, Zhizhi Yu, Di Jin et al.
Delayed Feedback Modeling with Influence Functions
Chenlu Ding, Jiancan Wu, Yancheng Yuan et al.
Intermediate N-Gramming: Deterministic and Fast N-Grams for Large N and Large Datasets
Ryan R. Curtin, Fred Lu, Edward Raff et al.
De-collapsing User Intent: Adaptive Diffusion Augmentation with Mixture-of-Experts for Sequential Recommendation
Xiaoxi Cui, Chao Zhao, Yurong Cheng et al.
Reinforced Rate Control for Neural Video Compression via Inter-Frame Rate–Distortion Awareness
Wuyang Cong, Junqi Shi, Lizhong Wang et al.
GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation
Xinghe Cheng, Zihan Zhang, Jiapu Wang et al.
TOPOGRAPH: Topology-Preserving Graph Reduction with Adaptive Structure for Persistent Homology
Zonghao Chen, Yuncheng Jiang, Gang Li
ARDiff: Anisotropic Residual Diffusion for Heterogeneous Graph Learning
Yong Chen, Li Li, Nannan Zong et al.
Dual-Kernel Graph Community Contrastive Learning
Xiang Chen, Kun Yue, Wenjie Liu et al.
ProRec-Video: Guiding Hierarchical Interest Transitions for Proactive Short Video Recommendation with Dynamic Feedback Adaptation
Weizhi Chen, Baoyun Peng, Bo Liu et al.
Transform-Free Feature Coding via Entropy-Constrained Vector Quantization
Qiaoxi Chen, Changsheng Gao, Li Li et al.
Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection
Mingyang Chen, Jiawei Du, Bo Huang et al.
Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach
Jundong Chen, Honglei Zhang, Chunxu Zhang et al.
MISF: MLLM Guided Iterative Sample Filtering for Data Fault Detection
Guoying Chen, Ruizhuo Zhao, Zhewei Xu et al.