Papers
Cross-view Anchor Graph Learning and Factorization for Incomplete Multi-view Clustering
Xinxin Wang, Yongshan Zhang, Xiaochen Yuan et al.
SMART: A Surrogate Model for Predicting Application Runtime in Dragonfly Systems
Xin Wang, Pietro Lodi Rizzini, Sourav Medya et al.
FUSION: Dataset Pruning via Fusing Uncertainty with Structural Information for Optimal Neural Training in Crystal Property Prediction
Xiean Wang, Pin Chen, Liqin Tan et al.
Robust High-Order Tensor Compressive Sensing Based on M-Estimators
Xiaowei Wang, Jie Yu, Yulong Wang
Modality-Balanced Collaborative Distillation for Multi-Modal Domain Generalization
Xiaohan Wang, Zhangtao Cheng, Ting Zhong et al.
Fine-flow Distilling Coarse-flow Video Generation for Long-Term Driving World Model
Xiaodong Wang, Zhirong Wu, Peixi Peng
LiViBench: An Omnimodal Benchmark for Interactive Livestream Video Understanding
Xiaodong Wang, Langling Huang, Zhirong Wu et al.
Counterfactual-Driven Zero-Shot Classifier Expansion
Xiangyu Wang, Yanze Gao, Changxin Rong et al.
Experimentation on Endogenous Graphs
Wenshuo Wang, Edvard Bakhitov, Dominic Coey
Towards Nonlinear Sparse AUC Maximization via Compositional Stochastic Hard Thresholding
Wenkang Wang, Dongxu Liu, Bin Gu
CometNet: Contextual Motif-guided Long-term Time Series Forecasting
Weixu Wang, Xiaobo Zhou, Xin Qiao et al.
M-Loss: Quantifying Model Merging Compatibility with Limited Unlabeled Data
Tiantong Wang, Yiyang Duan, Haoyu Chen et al.
Soft Conflict-Resolution Decision Transformer for Offline Multi-Task Reinforcement Learning
Shudong Wang, Xinfei Wang, Chenhao Zhang et al.
Preference Is More than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback
Shengbo Wang, Hong Sun, Ke Li
Wasserstein-Aligned Hyperbolic Multi-View Clustering
Rui Wang, Yuting Jiang, Xiaoqing Luo et al.
ST-TPP: Learning Semi-Transductive Temporal Point Processes with Gromov-Wasserstein Barycentric Regularization
Qingmei Wang, Tianyu Huang, Yujie Long et al.
Self-Supervised Learning Based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation
Qin Wang, Alessio Quercia, Benjamin Bruns et al.
Discriminative Graph Embedding Framework via Label-Free Marginal Fisher Analysis
Qianqian Wang, Mengping Jiang, Wei Feng et al.
Symphony-MoE: Harmonizing Disparate Pre-trained Models into a Coherent Mixture-of-Experts
Qi Wang, Hanyang Peng, Yue Yu
Learning Label Distribution with Dirichlet Process Mixture Model
Minglong Wang, Weiwei Li, Yunan Lu et al.
Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization
Min Wang, Xin Li, Mingzhong Wang et al.
RatioSketch: Towards More Accurate Frequency Estimation in Data Streams via a Lightweight Neural Network
Mengbo Wang, Zhuochen Fan, Dayu Wang et al.
Robust Integrative Analysis of Multi-omics Datasets via Nuclear-norm Maximization
Meng-Zhu Wang, Yu Zhang, Hongxing Zhang
Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification
Meixia Wang, Yuhai Zhao, Zhengkui Wang et al.
S-D-RSM: Stochastic Distributed Regularized Splitting Method for Large-Scale Convex Optimization Problems
Maoran Wang, Xingju Cai, Yongxin Chen