Papers
MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection
Yifan Zhang, Haolong Xiang, Xiaolong Xu et al.
Meta Label Correction with Generalization Regularizer
Tao Tong, Yujie Mo, Yucheng Xie et al.
Metapath and Hypergraph Structure-based Multi-Channel Graph Contrastive Learning for Student Performance Prediction
Lingyun Song, Xiaofan Sun, Xinbiao Gan et al.
METEOR: Melody-aware Texture-controllable Symbolic Music Re-Orchestration via Transformer VAE
Dinh-Viet-Toan Le, Yi-Hsuan Yang
METOR: A Unified Framework for Mutual Enhancement of Objects and Relationships in Open-vocabulary Video Visual Relationship Detection
Yongqi Wang, Xinxiao Wu, Shuo Yang
MGCA-Net: Multi-Graph Contextual Attention Network for Two-View Correspondence Learning
Shuyuan Lin, Mengtin Lo, Haosheng Chen et al.
MHANet: Multi-scale Hybrid Attention Network for Auditory Attention Detection
Lu Li, Cunhang Fan, Hongyu Zhang et al.
MiniMal: Hard-Label Adversarial Attack Against Static Malware Detection with Minimal Perturbation
Chengyi Li, Zhiyuan Jiang, Yongjun Wang et al.
Minimizing Polarization and Disagreement in the Friedkin–Johnsen Model with Unknown Innate Opinions
Federico Cinus, Atsushi Miyauchi, Yuko Kuroki et al.
MIRROR: Multi-agent Intra- and Inter-Reflection for Optimized Reasoning in Tool Learning
Zikang Guo, Benfeng Xu, Xiaorui Wang et al.
Misclassification-driven Fingerprinting for DNNs Using Frequency-aware GANs
Weixing Liu, Shenghua Zhong
Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning
Yudan Song, Yuecen Wei, Yuhang Lu et al.
Mitigating Over-Smoothing in Graph Neural Networks via Separation Coefficient-Guided Adaptive Graph Structure Adjustment
Hanyang Meng, Jielong Yang, Li Peng
Mixture-of-Queries Transformer: Camouflaged Instance Segmentation via Queries Cooperation and Frequency Enhancement
Weiwei Feng, Nanqing Xu, Tengfei Liu et al.
MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs Solving
Yichen Luo, Jia Wang, Dapeng Lan et al.
MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation
Lele Zheng, Yang Cao, Leo Yu Zhang et al.
MMNet: Missing-Aware and Memory-Enhanced Network for Multivariate Time Series Imputation
Xiaoye Miao, Han Shi, Yi Yuan et al.
Modality-Fair Preference Optimization for Trustworthy MLLM Alignment
Songtao Jiang, Yan Zhang, Ruizhe Chen et al.
Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking
Shenglan Li, Rui Yao, Yong Zhou et al.
Model-Based Closed-Loop Control Algorithm for Stochastic Partial Differential Equation Control
Peiyan Hu, Haodong Feng, Yue Wang et al.
Model Rake: A Defense Against Stealing Attacks in Split Learning
Qinbo Zhang, Xiao Yan, Yanfeng Zhao et al.
Modular Deep Reinforcement Learning for Multi-Workload Offloading in Edge Networks
Hongchang Ke, Yan Ding, Lin Pan et al.
MoleculeMiner: Extracting and Linking Molecule Figures with Tabular Metadata
Abhisek Dey, Nathaniel H. Stanley
MolHFCNet: Enhancing Molecular Graph Representations with Hierarchical Feature Combining and Hybrid Pretraining
Duy-Long Nguyen, Duc-Luong Ho-Viet, Anh-Thu Ngo-Tran et al.