From the 1 of 12 papers with an AI index.
46 citations
- City University of Hong Kong, Shenzhen Research InstituteCN2 papers
- Fudan UniversityCN2 papers
- University of Hong KongHK2 papers
- Alliance for Safe KidsUS1 paper
- Asia Pacific Center for Theoretical PhysicsKR1 paper
- Beijing Normal-Hong Kong Baptist UniversityCN1 paper
- Beijing Normal UniversityCN1 paper
- Chinese University of Hong Kong, ShenzhenCN1 paper
- Dublin City UniversityIE1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- Guangdong University of TechnologyCN1 paper
- Hunan Normal UniversityCN1 paper
12 papers
From Cheap Fakes to Pure Synthesis: Addressing the New Era of T2V Fake News Videos
Yifeng Luo, Yupeng Li, Liang Lan +1
Recent text-to-video (T2V) generation models enable fake news videos to be synthesized from scratch, shifting the threat beyond cheap fakes assembled from existing footage. Such ne…
Novel Claim or Déjà Vu? Rethinking "Contamination-Free'' Dynamic Evaluation for Multimodal Automated Fact-Checking
Haorui He, Xinwen Chen, Dacheng Wen +3
Multimodal automated fact-checking (MAFC) verifies claims by retrieving and reasoning over external evidence. However, most existing static benchmarks risk contamination: they prim…
Agentic Service-Oriented Computing: A Manifesto for the Next Frontier of Service-Oriented Computing
Amin Beheshti, Rong N. Chang, Boualem Benatallah +7
The paper proposes Agentic Service-Oriented Computing (ASOC), a framework for engineering large‑language‑model‑powered autonomous agents as services and managing their composition,…
Tailoring reflectionless complex media for non-Abelian braiding of acoustic modes
Hongkuan Zhang, Guancong Ma
Multiple scattering of sound and light can be tailored for diverse applications. Despite the great progress enabled by technologies such as time-reversal propagation and wavefront…
VRExplorer: A Model-based Approach for Semi-Automated Testing of Virtual Reality Scenes
Zhengyang Zhu, Hong-Ning Dai, Hanyang Guo +2
With the proliferation of Virtual Reality (VR) markets, VR applications are rapidly expanding in scale and complexity, thereby driving an urgent need for assuring VR software quali…
Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes
Yiqun Zhang, Yiu-ming Cheung
The success of categorical data clustering generally much relies on the distance metric that measures the dissimilarity degree between two objects. However, most of the existing cl…