Papers
COVR: Collaborative Optimization of VLMs and RL Agent for Visual-Based Control
Canming Xia, Peixi Peng, Guang Tan et al.
Unifying Multi-View Knowledge for Graph Learning via Model Collaboration
Zhihao Wu, Jielong Lu, Zihan Fang et al.
DIN: Dual Impulse Network for Multi-view Representation Learning
Yilin Wu, Weihong Lin, Renjie Lin et al.
Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification
Yihang Wu, Ahmad Chaddad
REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output Feature
Wenhan Wu, Zhili He, Huanghuang Liang et al.
HiMo-CLIP: Modeling Semantic Hierarchy and Monotonicity in Vision-Language Alignment
Ruijia Wu, Ping Chen, Fei Shen et al.
MPA: Multimodal Prototype Augmentation for Few-Shot Learning
Liwen Wu, Wei Wang, Lei Zhao et al.
ExoTimer: Leveraging Large Language Models for Time Series Forecasting with Exogenous Variables
Lan Wu, Xuebin Wang, Chenglong Ge et al.
Positional Bias in Multimodal Embedding Models: Do They Favor the Beginning, the Middle, or the End?
Kebin Wu, Fatima Albreiki
Facial-R1: Aligning Reasoning and Recognition for Facial Emotion Analysis
Jiulong Wu, Yucheng Shen, Lingyong Yan et al.
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.