Papers
Who Should I Trust? Explicit Confidence-Focused Multimodal Intent Recognition
Yi Liu, Qimeng Yang, Lanlan Lu
Quality-aware and Soft Consistency Driven Representation Fusion for Incomplete Multi-view Multi-label Classification
Yadong Liu, Waikeung Wong, Yulong Chen et al.
Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline
Xvyuan Liu, Xiangfei Qiu, Xingjian Wu et al.
IndoorUAV: Benchmarking Vision-Language UAV Navigation in Continuous Indoor Environments
Xu Liu, Yu Liu, Hanshuo Qiu et al.
DeLo: Dual Decomposed Low-Rank Experts Collaboration for Continual Missing Modality Learning
Xiwei Liu, Yulong Li, Feilong Tang et al.
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers
Wenyu Liu, Tianqiang Huang, Pengfei Zhang et al.
RSPlace: Rotation Sensing Macro Placement via Bidirectional Tree Expansion
Tianyi Liu, Yaxin Xu, Lin Geng et al.
Conformal Prediction Meets Long-tail Classification
Shuqi Liu, Jianguo Huang, Luke Ong
Feature-Aware One-Shot Federated Learning via Hierarchical Token Sequences
Shudong Liu, Hanwen Zhang, Xiuling Wang et al.
Views Attention Fusion of Granular-ball Fuzzy Representations Split for Improved Multi-view Clustering
Shuaiyu Liu, Song Wu, Jie Xu et al.
SVGL: Scale-Variable Graph Learning in Model Space for Multivariate Time Series Classification
Shikang Liu, Ziyu Tang, Xiren Zhou et al.
Energy-guided Dual Domain-invariant Prompting Framework with Fourier Regularization for Generalized Few-Shot Medical Segmentation
Shaolei Liu, Yuting Wu, Dongchen Zhu et al.
MORGAN: To Bridge Mixture of Experts and Spectral Graph Neural Network
Lihui Liu, Yuchen Yan
Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations
Larkin Liu, Kashif Rasul, Yutong Chao et al.
Online Conformal Selection with Accept-to-Reject Changes
Kangdao Liu, Huajun Xi, Chi Man Vong et al.
Practical Global and Local Bounds in Gaussian Process Regression via Chaining
Junyi Liu, Stanley Kok
FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models
Junkang Liu, Fanhua Shang, Hongying Liu et al.
Distilling Cross-Modal Knowledge via Feature Disentanglement
Junhong Liu, Yuan Zhang, Tao Huang et al.
Causally-Aware Attribute Completion for Incomplete Federated Graph Clustering
Jingxin Liu, Wenxuan Tu, Haotian Wang et al.
Personalized Federated Graph-Level Clustering Network
Jingxin Liu, Wenxuan Tu, Renda Han et al.
Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning
Jiexi Liu, Meng Cao, Songcan Chen
Cross Modal Fine-grained Alignment via Granularity-aware and Region-uncertain Modeling
Jiale Liu, Haoming Zhou, Yishu Liu et al.
Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts
Jiajun Liu, Yao He, Wenjun Ke et al.
Can Pseudo-Label Be More Reliable? A Simple yet Effective Topology-Aware Graph Self-Training Method
Gen Liu, Zhongying Zhao, Hui Zhou et al.
Reinforcement Learning with Fuzzy Human Attention-Guided Graph for Heterogeneous Multiagent Systems
Dingbang Liu, Fenghui Ren, Jun Yan et al.