Papers
Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness
Mingzheng Yang, Kai Zhang, Yuyang Ye et al.
Multi-view Clustering via Multi-granularity Ensemble
Jie Yang, Wei Chen, Feng Liu et al.
Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification
Xiaoshuo Yan, Zhaochuan Li, Lei Meng et al.
Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions
Bo Xue, Xi Lin, Yuanyu Wan et al.
No Regret Reinforcement Learning Algorithms for Online Scheduling with Multi-Stage Tasks
Yongxin Xu, Hengquan Guo, Ziyu Shao et al.
Predicting Spectral Information for Self-Supervised Signal Classification
Yi Xu, Shuang Wang, Hantong Xing et al.
Dynamic Anchor-based Ensemble Clustering via Hypergraph Reconstruction
Jiaxuan Xu, Lei Duan, Xinye Wang et al.
TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecasting
Huibo Xu, Likang Wu, Xianquan Wang et al.
On the Learning with Augmented Class via Forests
Fan Xu, Wuyang Chen, Wei Gao
Continuous Diffusive Prediction Network for Multi-Station Weather Prediction
Chujie Xu, Yuqing Ma, Haoyuan Deng et al.
On the Generalization of Feature Incremental Learning
Chao Xu, Xijia Tang, Lijun Zhang et al.
Beyond Statistical Analysis: Multimodal Framework for Time Series Forecasting with LLM-Driven Temporal Pattern
Jiahong Xiong, Chengsen Wang, Haifeng Sun et al.
DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information
Yun Xin, Jianfeng Lu, Shuqin Cao et al.
Partial Label Clustering
Yutong Xie, Fuchao Yang, Yuheng Jia
Spatially Resolved Transcriptomics Data Clustering with Tailored Spatial-scale Modulation
Yuang Xiao, Yanran Zhu, Chang Tang et al.
Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations
Wenhan Xian, Feihu Huang, Heng Huang
Relation-Augmented Dueling Bayesian Optimization via Preference Propagation
Xiang Xia, Xiang Shu, Shuo Liu et al.
Efficient Quantum Approximate kNN Algorithm via Granular-Ball Computing
Shuyin Xia, Xiaojiang Tian, Suzhen Yuan et al.
Granular-Ball-Induced Multiple Kernel K-Means
Shuyin Xia, Yifan Wang, Lifeng Shen et al.
LRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignment
Yanwanyu Xi, Xiao Zheng, Chang Tang et al.
Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis
Zhihao Wu, Jielong Lu, Jiajun Yu et al.
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary
Zhaowei Wu, Binyi Su, Qichuan Geng et al.
General Incomplete Time Series Analysis via Patch Dropping Without Imputation
Yangyang Wu, Yi Yuan, Mengying Zhu et al.
Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric
Wenhan Wu, Huanghuang Liang, Jingling Yuan et al.