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• Early Warning of Intraoperative Adverse Events via Transformer-Driven Multi-Label Learning

  Xueyao Wang, Xiuding Cai, Honglin Shang, Yaoyao Zhu, Yu Yao

  26615-26623

  2026-03-14

• End-to-End Knowledge Distillation for Unsupervised Domain Adaptation with Large Vision-language Models

  Yangtao Wang, Xingwei Deng, Yanzhao Xie, Weilong Peng, Siyuan Chen, Xiaocui Li, Maobin Tang, Meie Fang

  26624-26633

  2026-03-14

• Unified View Extraction with Low-Rankness and Smoothness Fusion for Multi-View Subspace Clustering

  Yapeng Wang, Quanxue Gao, Fangfang Li, Yu Yun, Ming Yang

  26634-26642

  2026-03-14

• Classifier-induced Reciprocal Points for Multi-label Open-set Recognition

  Yibo Wang, Yong Rui, Min-Ling Zhang

  26643-26651

  2026-03-14

• Conditional Information Bottleneck for Multimodal Fusion: Overcoming Shortcut Learning in Sarcasm Detection

  Yihua Wang, Qi Jia, Cong Xu, Feiyu Chen, Yuhan Liu, Haotian Zhang, Liang Jin, Lu Liu, Zhichun Wang

  26652-26660

  2026-03-14

• Latent State-Predictive Exploration for Deep Reinforcement Learning

  Yiming Wang, Kaiyan Zhao, Borong Zhang, Yan Li, Leong Hou U

  26661-26669

  2026-03-14

• Explore to Learn: Latent Exploration Through Disentangled Synergy Patterns for Reinforcement Learning in Overactuated Control

  Yiming Wang, Kaiyan Zhao, Xu Li, Yan Li, Jiayu Chen, Steven Morad, Leong Hou U

  26670-26678

  2026-03-14

• DSAP: Enhancing Generalization in Goal-Conditioned Reinforcement Learning

  Yiming Wang, Kaiyan Zhao, Ming Yang, Yan Li, Furui Liu, Jiayu Chen, Leong Hou U

  26679-26687

  2026-03-14

• Rethinking the Dark Knowledge and Kullback-Leibler Divergence Loss in Knowledge Distillation Under Capacity Mismatching

  Yingchao Wang, Wenqi Niu, Xingshan Yao, Li You, Weilun Fei

  26688-26696

  2026-03-14

• Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning

  Yingxu Wang, Mengzhu Wang, Zhichao Huang, Suyu Liu, Nan Yin

  26697-26705

  2026-03-14

• Boosting Noisy Correspondence Discrimination via Dynamic Neighborhood Semantic Verification

  Yu Wang, Fengxia Han, Jianyu Wang

  26706-26714

  2026-03-14

• MemeBQ:Memory Efficient Binary Quantization of LLMs

  Yuanhui Wang, Kunlong Liu, Minnan Pei, Zhangming Li, Peisong Wang, Qinghao Hu

  26715-26722

  2026-03-14

• Neural Architecture for Fast and Reliable Coagulation Assessment in Clinical Settings: Leveraging Thromboelastography

  Yulu Wang, Ziqian Zeng, Jianjun Wu, Zhifeng Tang

  26723-26731

  2026-03-14

• The Finer the Better: Towards Granular-aware Open-set Domain Generalization

  Yunyun Wang, Zheng Duan, Xinyue Liao, Ke-Jia CHEN, Songcan Chen

  26732-26740

  2026-03-14

• SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency

  Zeqing Wang, Kangye Ji, Di Wang, Haibin Zhang, Fei Cheng

  26741-26750

  2026-03-14

• One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow

  Zeyuan Wang, Da Li, Yulin Chen, Ye Shi, Liang Bai, Tianyuan Yu, Yanwei Fu

  26751-26759

  2026-03-14

• OT-ALD: Aligning Latent Distributions with Optimal Transport for Accelerated Image-to-Image Translation

  Zhanpeng Wang, Shuting Cao, Yuhang Lu, YuhanLi , Na Lei, Zhongxuan Luo

  26760-26768

  2026-03-14

• Cross-Field Interface-Aware Neural Operators for Multiphase Flow Simulation

  Zhenzhong Wang, Xin Zhang, Jun Liao, Min Jiang

  26769-26777

  2026-03-14

• Federated Context-Aware Personalized Recommendation

  Zhihao Wang, Xiaoying Liao, Wenke Huang, Bingqian Liu, Tian Chen, Jian Wang, Bing Li

  26778-26786

  2026-03-14

• MAU-GPT: Enhancing Multi-type Industrial Anomaly Understanding via Anomaly-aware and Generalist Experts Adaptation

  Zhuonan Wang, Zhenxuan Fan, Siwen Tan, Yu Zhong, Yuqian Yuan, Haoyuan Li, Hao Jiang, Wenqiao Zhang, Feifei Shao, Hongwei Wang, Jun Xiao

  26787-26795

  2026-03-14

• Khan-GCL: Kolmogorov–Arnold Network Based Graph Contrastive Learning with Hard Negatives

  Zihu Wang, Boxun Xu, Hejia Geng, Peng Li

  26797-26805

  2026-03-14

• Enhanced Federated Deep Multi-View Clustering Under Uncertainty Scenario

  Bingjun Wei, Xuemei Cao, Jiafen Liu, Haoyang Liang, Xin Yang

  26806-26813

  2026-03-14

• Making Sense of LLM Decisions: A Prototype-based Framework for Explainable Classification

  Bowen Wei, Mehrdad Fazli, Ziwei Zhu

  26814-26822

  2026-03-14

• Clustering with Self-Learned Graph Regression

  Lai Wei, Jin Liu

  26823-26831

  2026-03-14

• A General Anchor-Based Framework for Scalable Fair Clustering

  Shengfei Wei, Suyuan Liu, Jun Wang, Ke Liang, Miaomiao Li, Lei Luo

  26832-26840

  2026-03-14