Papers
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
Renormalization Group Guided Tensor Network Structure Search
Maolin Wang, Bowen Yu, Sheng Zhang et al.
REACT-LLM: A Benchmark for Evaluating LLM Integration with Causal Features in Clinical Prognostic Tasks
Linna Wang, Zhixuan You, Qihui Zhang et al.
FeTS: A Feature-Aware Framework for Time Series Forecasting
Le Wang, Jianyong Chen, Songbai Liu
Credal Ensemble Distillation for Uncertainty Quantification
Kaizheng Wang, Fabio Cuzzolin, David Moens et al.
Escaping Optimization Stagnation: Taking Steps Beyond Task Arithmetic via Difference Vectors
Jinping Wang, Zhiqiang Gao, Zhang Dinggen et al.
Space Alignment Matters: The Missing Piece for Inducing Neural Collapse in Long-Tailed Learning
Jinping Wang, Zhiqiang Gao, Zhiwu Xie
CoRE-Learning with Look-Ahead and Immediate Resource Allocation
Jing Wang, Xi-Tong Liu, Zhi-Hua Zhou
Boosting the Robustness-Accuracy Trade-off of SNNs by Robust Temporal Self-Ensemble
Jihang Wang, Dongcheng Zhao, Ruolin Chen et al.
RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting
Jieting Wang, Xiaolei Shang, Feijiang Li et al.
Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting
Jieting Wang, Huimei Shi, Feijiang Li et al.