Papers
Diffusion Guided Propagation Augmentation for Popularity Prediction
Chaozhuo Li, Tianqi Yang, Litian Zhang et al.
Secure and Efficient Watermarking for Latent Diffusion Models in Model Distribution Scenarios
Liangqi Lei, Keke Gai, Jing Yu et al.
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning
Hong kyu Lee, Qiuchen Zhang, Carl Yang et al.
APIMig: A Project-Level Cross-Multi-Version API Migration Framework Based on Evolution Knowledge Graph
Li Kuang, Qi Xie, HaiYang Yang et al.
Bridging Local and Global Knowledge via Transformer in Board Games
Yan-Ru Ju, Tai-Lin Wu, Chung-Chin Shih et al.
M^2LLM: Multi-view Molecular Representation Learning with Large Language Models
Jiaxin Ju, Yizhen Zheng, Huan Yee Koh et al.
Lazy Testing of Machine-Learning Models
Anastasia Isychev, Valentin Wüstholz, Maria Christakis
CompLex: Music Theory Lexicon Constructed by Autonomous Agents for Automatic Music Generation
Zhejing Hu, Yan Liu, Gong Chen et al.
RRG-Mamba: Efficient Radiology Report Generation with State Space Model
Xiaodi Hou, Xiaobo Li, Mingyu Lu et al.
Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer
Wenkang Han, Wang Lin, Liya Hu et al.
Conditional Causal Representation Learning for Heterogeneous Single-cell RNA Data Integration and Prediction
Jiayi Dong, Jiahao Li, Fei Wang
Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion
Anjali de Silva, Gang Chen, Hui Ma et al.
State Feedback Enhanced Graph Differential Equations for Multivariate Time Series Forecasting
Jiaxu Cui, Qipeng Wang, Yiming Zhao et al.
Minimizing Polarization and Disagreement in the Friedkin–Johnsen Model with Unknown Innate Opinions
Federico Cinus, Atsushi Miyauchi, Yuko Kuroki et al.
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers
Tianyu Chen, Haoyi Zhou, Ying Li et al.
TSTAI: A Time-varying Brain Effective Connectivity Network Construction Method Combining with Brain Active Information
Qi Chen, Zhiqiong Wang, Jiaxin Li et al.
Logic Distillation: Learning from Code Function by Function for Decision-making Tasks
Dong Chen, Shilin Zhang, Fei Gao et al.
Dynamic Network Discovery via Infection Tracing
Ben Bals, Michelle Döring, Nicolas Klodt et al.
POLO: An LLM-Powered Project-Level Code Performance Optimization Framework
Jiameng Bai, Ruoyi Xu, Sai Wu et al.
Enhanced Graph Similarity Learning via Adaptive Multi-scale Feature Fusion
Cuifang Zou, Guangquan Lu, Wenzhen Zhang et al.
Inconsistency-Based Federated Active Learning
Chen-Chen Zong, Tong Jin, Sheng-Jun Huang
Strategy-Architecture Synergy: A Multi-View Graph Contrastive Paradigm for Consistent Representations
Shuman Zhuang, Zhihao Wu, Yuhong Chen et al.
Robust Graph Contrastive Learning for Incomplete Multi-view Clustering
Deyin Zhuang, Jian Dai, Xingfeng Li et al.
Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee
Zehan Zhu, Yan Huang, Xin Wang et al.
Finite-Time Analysis of Heterogeneous Federated Temporal Difference Learning
Ye Zhu, Xiaowen Gong, Shiwen Mao