Papers
DCHO: A Decomposition–Composition Framework for Predicting Higher-Order Brain Connectivity to Enhance Diverse Downstream Applications
Weibin Li, Wendu Li, Quanying Liu
DcMatch: Unsupervised Multi-Shape Matching with Dual-Level Consistency
Tianwei Ye, Yong Ma, Xiaoguang Mei
DCMM-Transformer: Degree-Corrected Mixed-Membership Attention for Medical Imaging
Huimin Cheng, Xiaowei Yu, Shushan Wu et al.
DCRNet: Delayed Conversion Modeling Based Personalized Flight Itinerary Ranking Network
Maolei Huang, Zhuangzhuoran, Detao Lv et al.
DC-SPAN: A Dual Contrastive Attention Network for Multi-View Clustering
Jingyi Chen, Zhibin Dong, Tiejun Li et al.
DcSplat: Dual-Constraint Human Gaussian Splatting with Latent Multi-View Consistency
Tengfei Xiao, Yue Wu, Zhigang Gao et al.
DCTR: Dual-Constraint Subgraph Optimization for Knowledge Graph-based Retrieval-Augmented Generation
Yukun Cao, Zirui Xu, Dongyang Li et al.
DDIN: Reinforcement Learning with Asymmetric GNNs for Dismantling Directed Interdependent Networks (Student Abstract)
Soumyajit Dev, Malay Bhattacharyya
“Debate Guru”: Honing Public Speaking Skills Among Secondary School Students with AI Tutoring Systems
Zachary Nadan, Nathan Goldberg, Roozbeh Aliabadi et al.
Debate over Mixed-knowledge: A Robust Multi-Agent Reasoning Framework for Incomplete Knowledge Graph Question Answering
Jilong Liu, Pengyang Shao, Wei Qin et al.
Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder
Shangshang Yang, Xuewen Duan, Xiaoshan Yu et al.
Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification
Yuhang Zhou, Yanxiang Zhao, Zhongyun Hua et al.
Debiased Multiplex Tokenizer for Efficient Map-Free Visual Relocalization
Wenshuai Wang, Hong Liu, Shengquan Li et al.
De-biased Natural Language Egocentric Task Verification via Prototypical Evidence Learning
Chong Liu, Xun Jiang, Fumin Shen et al.
Debiasing Diffusion Priors via 3D Attention for Consistent Gaussian Splatting
Shilong Jin, Haoran Duan, Litao Hua et al.
Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: “One Map, Many Trials” in Satellite-Driven Poverty Analysis
Markus B. Pettersson, Connor Thomas Jerzak, Adel Daoud
Deblur4DGS: 4D Gaussian Splatting from Blurry Monocular Video
Renlong Wu, Zhilu Zhang, Mingyang Chen et al.
Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance
Hongxu Chen, Ke Wei, Luo Luo
Decentralized Online Convex Optimization with Unknown Feedback Delays
Hao Qiu, Mengxiao Zhang, Juliette Achddou
Decidable Multi-agent Epistemic Planning: A Situation Calculus Approach
Qihui Feng, Gerhard Lakemeyer
Decision-Driven Orthogonal Learning with Complementary Feature Mining for Robust Synthetic Image Detection
Kai Li, Wei Wang, Linchao Zhang et al.
De-collapsing User Intent: Adaptive Diffusion Augmentation with Mixture-of-Experts for Sequential Recommendation
Xiaoxi Cui, Chao Zhao, Yurong Cheng et al.
Decompose and Attribute: Boosting Generalizable Open-Set Object Detection via Objectness Score
Yuxuan Yuan, Lichen Wei, Luyao Tang et al.