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- Zhejiang UniversityCN43 papers
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- Alibaba Group (United States)US16 papers
- University of Science and Technology of ChinaCN16 papers
- Chinese Academy of SciencesCN13 papers
- Nanyang Technological UniversitySG10 papers
- University of Chinese Academy of SciencesCN9 papers
- University of Electronic Science and Technology of ChinaCN8 papers
- CAS Key Laboratory of Urban Pollutant ConversionCN7 papers
- Huazhong University of Science and TechnologyCN7 papers
11 papers · 1 filter
Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study
Lingzhe Zhang, Tong Jia, Kangjin Wang +3
As software systems grow increasingly intricate, the precise detection of anomalies have become both essential and challenging. Current log-based anomaly detection methods depend h…
Highly Efficient No-reference 4K Video Quality Assessment with Full-Pixel Covering Sampling and Training Strategy
Xiaoheng Tan, Jiabin Zhang, Yuhui Quan +3
Deep Video Quality Assessment (VQA) methods have shown impressive high-performance capabilities. Notably, no-reference (NR) VQA methods play a vital role in situations where obtain…
FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction
Wentao Ouyang, Rui Dong, Ri Tao +1
Click-through rate (CTR) prediction plays an important role in online advertising platforms. Most existing methods use data from the advertising platform itself for CTR prediction.…
Coarse-to-Fine Proposal Refinement Framework for Audio Temporal Forgery Detection and Localization
Junyan Wu, Wei Lu, Xiangyang Luo +3
Recently, a novel form of audio partial forgery has posed challenges to its forensics, requiring advanced countermeasures to detect subtle forgery manipulations within long-duratio…
Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce
Zhe Lin, Jiwei Tan, Dan Ou +3
Text relevance or text matching of query and product is an essential technique for the e-commerce search system to ensure that the displayed products can match the intent of the qu…
URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clustering
Ge Teng, Ting Mao, Chen Shen +4
Incomplete multi-view clustering (IMVC) aims to cluster multi-view data that are only partially available. This poses two main challenges: effectively leveraging multi-view informa…