Papers
Capturing Individuality and Commonality Between Anchor Graphs for Multi-View Clustering
Zhoumin Lu, Yongbo Yu, Linru Ma et al.
CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting
Minhyuk Lee, Hyekyung Yoon, MyungJoo Kang
Categorical Attention: Fine-grained Language-guided Noise Filtering Network for Occluded Person Re-Identification
Minghui Chen, Dayan Wu, Chenxu Yang et al.
Category-aware EEG Image Generation Based on Wavelet Transform and Contrast Semantic Loss
Enshang Zhang, Zhicheng Zhang, Takashi Hanakawa
Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting
Wei Chen, Jiahao Zhang, Haipeng Zhu et al.
Causality-Inspired Disentanglement for Fair Graph Neural Networks
Guixian Zhang, Debo Cheng, Guan Yuan et al.
Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting
Jiaming Ma, Zhiqing Cui, Binwu Wang et al.
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
Ruichu Cai, Kaitao Zheng, Junxian Huang et al.
Cause-Effect Driven Optimization for Robust Medical Visual Question Answering with Language Biases
Huanjia Zhu, Yishu Liu, Xiaozhao Fang et al.
CD^2: Constrained Dataset Distillation for Few-Shot Class-Incremental Learning
Kexin Bao, Daichi Zhang, Hansong Zhang et al.
CFDONEval: A Comprehensive Evaluation of Operator-Learning Neural Network Models for Computational Fluid Dynamics
Menghan Liu, Jianhuan Cen, Ziyang Zhou et al.
CFII-Net: Explicit Class Embeddings and Feature Maps Through Iterative Interaction for Boosting Medical Image Segmentation
Xinyu Zhu, Xiwen Liu, Lianghua He et al.
CGI: Identifying Conditional Generative Models with Example Images
Zhi Zhou, Hao-Zhe Tan, Peng-Xiao Song et al.
ChronoFact: Timeline-based Temporal Fact Verification
Anab Maulana Barik, Wynne Hsu, Mong Li Lee
Circuit-Aware d-DNNF Compilation
Vincent Derkinderen, Jean-Marie Lagniez
City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data
Tianxing Wu, Lizhe Cao, Shuang Wang et al.
Classifying and Tracking International Aid Contribution Towards SDGs
Sungwon Park, Dongjoon Lee, Kyeongjin Ahn et al.
CLLMRec: Contrastive Learning with LLMs-based View Augmentation for Sequential Recommendation
Fan Lu, Xiaolong Xu, Haolong Xiang et al.
CMFS: CLIP-Guided Modality Interaction for Mitigating Noise in Multi-Modal Image Fusion and Segmentation
Guilin Su, Yuqing Huang, Chao Yang et al.
Coalition Obstruction Temporal Logic: A New Obstruction Logic to Reason About Demon Coalitions
Davide Catta, Jean Leneutre, Vadim Malvone et al.
Code-BT: A Code-Driven Approach to Behavior Tree Generation for Robot Tasks Planning with Large Language Models
Siyang Zhang, Bin Li, Jingtao Qi et al.
CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models
Yi Zhan, Qi Liu, Weibo Gao et al.
CoDiCast: Conditional Diffusion Model for Global Weather Forecasting with Uncertainty Quantification
Jimeng Shi, Bowen Jin, Jiawei Han et al.
CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation
Yuki Tanaka, Ryuji Hashimoto, Takehiro Takayanagi et al.
COGRASP: Co-Occurrence Graph Based Stock Price Forecasting
Zhengze Li, Zilin Song, Tingting Yuan et al.