Papers
SCoUT: A Framework for Structured Stereotype Analysis in Language Models
Jinxuan Wu, Bin Li, Xiangyang Xue
SELDON: Supernova Explosions Learned by Deep ODE Networks
Jiezhong Wu, Jack O'Brien, Jennifer Li et al.
Multimodal Mixture-of-Experts with Retrieval Augmentation for Protein Active Site Identification
Jiayang Wu, Jiale Zhou, Rubo Wang et al.
From Parameter to Representation: A Closed-Form Approach for Controllable Model Merging
Jialin Wu, Jian Yang, Handing Wang et al.
RCMoE: A Communication-Efficient Random Compression Framework for Resource-Constrained Mixture-of-Experts Training
Donglei Wu, Xiao Cai, Jinglei Tan et al.
HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization
Marcel Wever, Maximilian Muschalik, Fabian Fumagalli et al.
Decoupled Spatiotemporal Forecasting from Extreme Sparse Observations via Quantized Latent Space
Zhongnan Weng, Yue Hong, Hang Yu et al.
Universal EEG Epilepsy Detection via Evidential Multi-View De-Biasing
Ziqi Wen, Cai Xu, Wanqing Zhao et al.
FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness
Siyuan Wen, Meng Zhang, Yang Yang et al.
A General Anchor-Based Framework for Scalable Fair Clustering
Shengfei Wei, Suyuan Liu, Jun Wang et al.
Clustering with Self-Learned Graph Regression
Lai Wei, Jin Liu
Making Sense of LLM Decisions: A Prototype-based Framework for Explainable Classification
Bowen Wei, Mehrdad Fazli, Ziwei Zhu
Enhanced Federated Deep Multi-View Clustering Under Uncertainty Scenario
Bingjun Wei, Xuemei Cao, Jiafen Liu et al.
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.