Publications (22)
Multi-Tubal Rank of Third Order Tensor and Related Low Rank Tensor Completion Problem
Quan Yu, Xinzhen Zhang, Zheng-Hai Huang
Recently, a tensor factorization based method for a low tubal rank tensor completion problem of a third order tensor was proposed, which performed better than some existing methods…
A Dynamic Epistemic Framework for Conformant Planning
Quan Yu, Yanjun Li, Yanjing Wang
In this paper, we introduce a lightweight dynamic epistemic logical framework for automated planning under initial uncertainty. We reduce plan verification and conformant planning…
Cybertwin: An Origin of Next Generation Network Architecture
Quan Yu, Jing Ren, Yinjin Fu +2
With fast development of Internet of Everything (IoE) and its applications, the ever increasing mobile internet traffic and services bring unprecedented challenges including scalab…
Confocal structured illumination microscopy
Weishuai Zhou, Manhong Yao, Xi Lin +3
Confocal microscopy, a critical advancement in optical imaging, is widely applied because of its excellent anti-noise ability. However, it has low imaging efficiency and can cause…
Spectral-Spatial Extraction through Layered Tensor Decomposition for Hyperspectral Anomaly Detection
Quan Yu, Yu-Hong Dai, Minru Bai
Low rank tensor representation (LRTR) methods are very useful for hyperspectral anomaly detection (HAD). To overcome the limitations that they often overlook spectral anomaly and r…
Efficient Low Rank Matrix Recovery With Flexible Group Sparse Regularization
Quan Yu, Minru Bai, Xinzhen Zhang
In this paper, we present a novel approach to the low rank matrix recovery (LRMR) problem by casting it as a group sparsity problem. Specifically, we propose a flexible group spars…
Tensor factorization based method for low rank matrix completion and its application on tensor completion
Quan Yu, Xinzhen Zhang
Low rank matrix and tensor completion problems are to recover the incomplete two and higher order data by using their low rank structures. The essential problem in the matrix and t…
Large-scale Uncertainty Estimation and Its Application in Revenue Forecast of SMEs
Zebang Zhang, Kui Zhao, Kai Huang +3
The economic and banking importance of the small and medium enterprise (SME) sector is well recognized in contemporary society. Business credit loans are very important for the ope…
NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay
Jianbin Lin, Zhiqiang Zhang, Jun Zhou +5
Ant Credit Pay is a consumer credit service in Ant Financial Service Group. Similar to credit card, loan default is one of the major risks of this credit product. Hence, effective…
An alternative application of GaAs-based light-emitting diodes: X-ray detection and imaging
Quan Yu, Fangbao Wang, Xin Yuan +6
GaAs-based light-emitting diodes (LEDs) are commonly employed in a variety of applications, including medical imaging, biosensing, optical communications, and night vision. In this…
A smoothing proximal gradient algorithm for matrix rank minimization problem
Quan Yu, Xinzhen Zhang
In this paper, we study the low-rank matrix minimization problem, where the loss function is convex but nonsmooth and the penalty term is defined by the cardinality function. We fi…
A progressively reduced pretension method to fabricate Bradbury-Nielsen gates with uniform tension
Kai Ni, Jingran Guo, Zhou Yu +4
A Bradbury-Nielsen gate (BNG) is often used to modulate ion beams. It consists of two interleaved and electrically isolated sets of wires with uniform tension, which can keep paral…
Efficient Recovery of Low Rank Tensor via Triple Nonconvex Nonsmooth Rank Minimization
Quan Yu
A tensor nuclear norm (TNN) based method for solving the tensor recovery problem was recently proposed, and it has achieved state-of-the-art performance. However, it may fail to pr…
DGAI: Decoupled On-Disk Graph-Based ANN Index for Efficient Updates and Queries
Jiahao Lou, Shufeng Gong, Quan Yu +6
On-disk graph-based indexes are favored for billion-scale Approximate Nearest Neighbor Search (ANNS) due to their high performance and cost-efficiency. However, existing systems ty…
Minimization of Storage Cost in Distributed Storage Systems with Repair Consideration
Quan Yu, Kenneth W. Shum, Chi Wan Sung
In a distributed storage system, the storage costs of different storage nodes, in general, can be different. How to store a file in a given set of storage nodes so as to minimize t…
Irregular Fractional Repetition Code Optimization for Heterogeneous Cloud Storage
Quan Yu, Chi Wan Sung, Terence H. Chan
This paper presents a flexible irregular model for heterogeneous cloud storage systems and investigates how the cost of repairing failed nodes can be minimized. The fractional repe…
High-speed ultra-broadband detection based on interfacial work function internal photoemission detector
Siheng Huang, Xin Yuan, Xuhong Ma +7
High-speed ultra-broadband detectors play a crucial role in aerospace technology, and national security etc. The interfacial work function internal photoemission (IWIP) detector em…
Intelligent Credit Limit Management in Consumer Loans Based on Causal Inference
Hang Miao, Kui Zhao, Zhun Wang +4
Nowadays consumer loan plays an important role in promoting the economic growth, and credit cards are the most popular consumer loan. One of the most essential parts in credit card…
6G Network AI Architecture for Everyone-Centric Customized Services
Yang Yang, Mulei Ma, Hequan Wu +51
Mobile communication standards were developed for enhancing transmission and network performance by using more radio resources and improving spectrum and energy efficiency. How to…
Lossless data compression by large models
Ziguang Li, Chao Huang, Xuliang Wang +7
Modern data compression methods are slowly reaching their limits after 80 years of research, millions of papers, and wide range of applications. Yet, the extravagant 6G communicati…
An Immunology-Inspired Network Security Architecture
Quan Yu, Jing Ren, Jiyan Zhang +6
The coming 5G networks have been enabling the creation of a wide variety of new services and applications which demand a new network security architecture. Immunology is the study…
A Semi-supervised Graph Attentive Network for Financial Fraud Detection
Daixin Wang, Jianbin Lin, Peng Cui +7
With the rapid growth of financial services, fraud detection has been a very important problem to guarantee a healthy environment for both users and providers. Conventional solutio…