Papers
Khan-GCL: Kolmogorov–Arnold Network Based Graph Contrastive Learning with Hard Negatives
Zihu Wang, Boxun Xu, Hejia Geng et al.
MAU-GPT: Enhancing Multi-type Industrial Anomaly Understanding via Anomaly-aware and Generalist Experts Adaptation
Zhuonan Wang, Zhenxuan Fan, Siwen Tan et al.
Federated Context-Aware Personalized Recommendation
Zhihao Wang, Xiaoying Liao, Wenke Huang et al.
Cross-Field Interface-Aware Neural Operators for Multiphase Flow Simulation
Zhenzhong Wang, Xin Zhang, Jun Liao et al.
OT-ALD: Aligning Latent Distributions with Optimal Transport for Accelerated Image-to-Image Translation
Zhanpeng Wang, Shuting Cao, Yuhang Lu et al.
One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow
Zeyuan Wang, Da Li, Yulin Chen et al.
SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency
Zeqing Wang, Kangye Ji, Di Wang et al.
The Finer the Better: Towards Granular-aware Open-set Domain Generalization
Yunyun Wang, Zheng Duan, Xinyue Liao et al.
Neural Architecture for Fast and Reliable Coagulation Assessment in Clinical Settings: Leveraging Thromboelastography
Yulu Wang, Ziqian Zeng, Jianjun Wu et al.
MemeBQ:Memory Efficient Binary Quantization of LLMs
Yuanhui Wang, Kunlong Liu, Minnan Pei et al.
Boosting Noisy Correspondence Discrimination via Dynamic Neighborhood Semantic Verification
Yu Wang, Fengxia Han, Jianyu Wang
Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning
Yingxu Wang, Mengzhu Wang, Zhichao Huang et al.
Rethinking the Dark Knowledge and Kullback-Leibler Divergence Loss in Knowledge Distillation Under Capacity Mismatching
Yingchao Wang, Wenqi Niu, Xingshan Yao et al.
DSAP: Enhancing Generalization in Goal-Conditioned Reinforcement Learning
Yiming Wang, Kaiyan Zhao, Ming Yang et al.
Explore to Learn: Latent Exploration Through Disentangled Synergy Patterns for Reinforcement Learning in Overactuated Control
Yiming Wang, Kaiyan Zhao, Xu Li et al.
Latent State-Predictive Exploration for Deep Reinforcement Learning
Yiming Wang, Kaiyan Zhao, Borong Zhang et al.
Conditional Information Bottleneck for Multimodal Fusion: Overcoming Shortcut Learning in Sarcasm Detection
Yihua Wang, Qi Jia, Cong Xu et al.
Classifier-induced Reciprocal Points for Multi-label Open-set Recognition
Yibo Wang, Yong Rui, Min-Ling Zhang
Unified View Extraction with Low-Rankness and Smoothness Fusion for Multi-View Subspace Clustering
Yapeng Wang, Quanxue Gao, Fangfang Li et al.
End-to-End Knowledge Distillation for Unsupervised Domain Adaptation with Large Vision-language Models
Yangtao Wang, Xingwei Deng, Yanzhao Xie et al.
Early Warning of Intraoperative Adverse Events via Transformer-Driven Multi-Label Learning
Xueyao Wang, Xiuding Cai, Honglin Shang et al.
Adaptive Riemannian Graph Neural Networks
Xudong Wang, Chris Ding, Tongxin Li et al.
SGoT-R1: Social Graph of Thought Reasoning-Enhanced Multimodal Large Language Model for Harmful Meme Detection
Xiuxian Wang, Yuting Su, Wenhui Li et al.
ESMC: MLLM-Based Embedding Selection for Explainable Multiple Clustering
Xinyue Wang, Yuheng Jia, Hui Liu et al.
From Sequential to Recursive: Enhancing Decision-Focused Learning with Bidirectional Feedback
Xinyu Wang, Jinxiao Du, Yiyang Peng et al.