654 citations
- Carnegie Mellon UniversityUS15 papers
- École PolytechniqueFR11 papers
- Australian National UniversityAU7 papers
- Centre de Mathématiques Appliquées de l'École polytechniqueFR7 papers
- The University of SydneyAU7 papers
- Inception Institute of Artificial IntelligenceAE6 papers
- Nanyang Technological UniversitySG6 papers
- National Research University Higher School of EconomicsRU6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Indian Institute of Technology DelhiIN5 papers
- Nankai UniversityCN5 papers
- Technical University of MunichDE5 papers
53 papers · 1 filter
BGTplanner: Maximizing Training Accuracy for Differentially Private Federated Recommenders via Strategic Privacy Budget Allocation
Xianzhi Zhang, Yipeng Zhou, Miao Hu +4
To mitigate the rising concern about privacy leakage, the federated recommender (FR) paradigm emerges, in which decentralized clients co-train the recommendation model without expo…
ERGNN: Spectral Graph Neural Network With Explicitly-Optimized Rational Graph Filters
Guoming Li, Jian Yang, Shangsong Liang
Approximation-based spectral graph neural networks, which construct graph filters with function approximation, have shown substantial performance in graph learning tasks. Despite t…
Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities
Qimei Cui, Xiaohu You, Ni Wei +22
With the growing demand for seamless connectivity and intelligent communication, the integration of artificial intelligence (AI) and sixth-generation (6G) communication networks ha…
Visual-Semantic Graph Matching Net for Zero-Shot Learning
Bowen Duan, Shiming Chen, Yufei Guo +3
Zero-shot learning (ZSL) aims to leverage additional semantic information to recognize unseen classes. To transfer knowledge from seen to unseen classes, most ZSL methods often lea…
Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook
Florinel-Alin Croitoru, Andrei-Iulian Hiji, Vlad Hondru +7
We survey deepfake generation and detection techniques, covering all deepfake media types: image, video, audio and multimodal content. We identify various kinds of deepfakes and co…
Better Together? The Role of Explanations in Supporting Novices in Individual and Collective Deliberations about AI
Timothée Schmude, Laura Koesten, Torsten Möller +1
Deploying AI systems in public institutions can have far-reaching consequences for many people, making it a matter of public interest. Providing opportunities for stakeholders to c…