Papers
A Simple yet Effective Hypergraph Clustering Network
Qianqian Wang, Bowen Zhao, Zhengming Ding et al.
FedCM: Client Clustering and Migration in Federated Learning via Gradient Path Similarity and Update Direction Deviation
Peng Wang, Shoupeng Lu, Hao Yin et al.
DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation
Maolin Wang, Tianshuo Wei, Sheng Zhang et al.
From Individual to Universal: Regularized Multi-view Joint Representation for Multi-view Subspace-Preserving Recovery
Libin Wang, Yulong Wang, Xinwei He et al.
Dynamic Multiple High-order Correlations Fusion with Noise Filtering for Incomplete Multi-view Noisy-label Learning
Kaixiang Wang, Xiaojian Ding, Fan Yang
High-Fidelity Road Network Generation with Latent Diffusion Models
Jinming Wang, Hongkai Wen, Geyong Min et al.
Learning Robust Multi-view Representation Using Dual-masked VAEs
Jiedong Wang, Kai Guo, Peng Hu et al.
Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detection
Jianzhou Wang, Yirui Wu, Lixin Yuan et al.
A Symmetric Relative-Error Loss Function for Intermittent Multiscale Signal Modelling
Sergio M. Vanegas Arias, Lasse Lensu, Fredy Ruiz Palacios
Meta Label Correction with Generalization Regularizer
Tao Tong, Yujie Mo, Yucheng Xie et al.
Enhancing Transferability of Audio Adversarial Example for Both Frequency- and Time-domain
Zilin Tian, Yunfei Long, Liguo Zhang et al.
Rule-Guided Reinforcement Learning Policy Evaluation and Improvement
Martin Tappler, Ignacio D. Lopez-Miguel, Sebastian Tschiatschek et al.
Avoiding Undesired Future with Sequential Decisions
Lue Tao, Tian-Zuo Wang, Yuan Jiang et al.
InstGAN: Instant Actor-Critic-Driven GAN for De Novo Molecule Generation and Property Optimization
Huidong Tang, Chen Li, Sayaka Kamei et al.
Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning
Hao Tang, Shengfeng He, Jing Qin
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data
Yuxia Sun, Aoxiang Sun, Siyi Pan et al.
Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy
Zhihao Sui, Liang Hu, Jian Cao et al.
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations
Zunhai Su, Hanyu Wei, Zhe Chen et al.
Metapath and Hypergraph Structure-based Multi-Channel Graph Contrastive Learning for Student Performance Prediction
Lingyun Song, Xiaofan Sun, Xinbiao Gan et al.
GSDNet: Revisiting Incomplete Multimodality-Diffusion Emotion Recognition from the Perspective of Graph Spectrum
Yuntao Shou, Jun Yao, Tao Meng et al.
Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning
Ruxue Shi, Hengrui Gu, Hangting Ye et al.
MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition
Jiandong Shi, Ming Li, Lu Bai et al.
HGEN: Heterogeneous Graph Ensemble Networks
Jiajun Shen, Yufei Jin, Kaibu Feng et al.
QuantileFormer: Probabilistic Time Series Forecasting with a Pattern-Mixture Decomposed VAE Transformer
Yimiao Shao, Wenzhong Li, Kang Xia et al.
In-Context Meta LoRA Generation
Yihua Shao, Minxi Yan, Yang Liu et al.