80 citations · 306 across the 27 of their papers we have counts for
27 papers
On Regularized Sparse Logistic Regression
Mengyuan Zhang, Kai Liu
Sparse logistic regression is for classification and feature selection simultaneously. Although many studies have been done to solve -regularized logistic regression, there…
Strictly Low Rank Constraint Optimization -- An Asymptotically Method
Mengyuan Zhang, Kai Liu
We study a class of non-convex and non-smooth problems with \textit{rank} regularization to promote sparsity in optimal solution. We propose to apply the proximal gradient descent…
Adaptive Weighted Multiview Kernel Matrix Factorization with its application in Alzheimer's Disease Analysis -- A clustering Perspective
Kai Liu, Yarui Cao
Recent technology and equipment advancements provide with us opportunities to better analyze Alzheimer's disease (AD), where we could collect and employ the data from different ima…
Multi-Task Learning with Prior Information
Mengyuan Zhang, Kai Liu
Multi-task learning aims to boost the generalization performance of multiple related tasks simultaneously by leveraging information contained in those tasks. In this paper, we prop…
Element-Specific First Order Reversal Curves Measured by Magnetic Transmission X-ray Microscopy
Dustin A. Gilbert, Mi-Young Im, Kai Liu +1
The first order reversal curve (FORC) method is a macroscopic measurement technique which can be used to extract quantitative, microscopic properties of hysteretic systems. Using m…
Cooperative Sensing and Uploading for Quality-Cost Tradeoff of Digital Twins in VEC
Kai Liu, Xincao Xu, Penglin Dai +1
Recent advances in sensing technologies, wireless communications, and computing paradigms drive the evolution of vehicles in becoming an intelligent and electronic consumer product…
CohortVA: A Visual Analytic System for Interactive Exploration of Cohorts based on Historical Data
Wei Zhang, Jason K. Wong, Xumeng Wang +8
In history research, cohort analysis seeks to identify social structures and figure mobilities by studying the group-based behavior of historical figures. Prior works mainly employ…
Age of View: A New Metric for Evaluating Heterogeneous Information Fusion in Vehicular Cyber-Physical Systems
Xincao Xu, Kai Liu, Qisen Zhang +3
Heterogeneous information fusion is one of the most critical issues for realizing vehicular cyber-physical systems (VCPSs). This work makes the first attempt at quantitatively meas…
Enriched Robust Multi-View Kernel Subspace Clustering
Mengyuan Zhang, Kai Liu
Subspace clustering is to find underlying low-dimensional subspaces and cluster the data points correctly. In this paper, we propose a novel multi-view subspace clustering method.…
A review of knowledge graph application scenarios in cyber security
Kai Liu, Fei Wang, Zhaoyun Ding +3
Facing the dynamic complex cyber environments, internal and external cyber threat intelligence, and the increasing risk of cyber-attack, knowledge graphs show great application pot…
Heteroepitaxy of Large-Area, Monocrystalline Lead Halide Perovskite Films on Gallium Arsenide
Deying Kong, Yu Zhang, Dali Cheng +6
Lead halide perovskite materials have been emerging as promising candidates for high-performance optoelectronic devices. Significant efforts have sought to realize monocrystalline…
Controlling magnetic configuration in soft-hard bilayers probed by polarized neutron reflectometry
Nan Tang, Jung-Wei Liao, Siu-Tat Chui +4
Hard/soft magnetic bilayer thin films have been widely used in data storage technologies and permanent magnet applications. The magnetic configuration and response to temperatures…
Incentivized Exploration for Multi-Armed Bandits under Reward Drift
Zhiyuan Liu, Huazheng Wang, Fan Shen +2
We study incentivized exploration for the multi-armed bandit (MAB) problem where the players receive compensation for exploring arms other than the greedy choice and may provide bi…
Boundary-Preserved Deep Denoising of the Stochastic Resonance Enhanced Multiphoton Images
Sheng-Yong Niu, Lun-Zhang Guo, Yue Li +3
As the rapid growth of high-speed and deep-tissue imaging in biomedical research, it is urgent to find a robust and effective denoising method to retain morphological features for…
Spherical Principal Component Analysis
Kai Liu, Qiuwei Li, Hua Wang +1
Principal Component Analysis (PCA) is one of the most important methods to handle high dimensional data. However, most of the studies on PCA aim to minimize the loss after projecti…
Deep Item-based Collaborative Filtering for Top-N Recommendation
Feng Xue, Xiangnan He, Xiang Wang +3
Item-based Collaborative Filtering(short for ICF) has been widely adopted in recommender systems in industry, owing to its strength in user interest modeling and ease in online per…
Robust Beamforming for Downlink 3D-MIMO Systems with -norm Bounded CSI Uncertainty
Kai Liu, Hui Feng, Tao Yang +1
In this paper, a novel robust beamforming scheme is proposed in three dimensional multi-input multi-output (3D-MIMO) systems. As one of the typical deployments of massive MIMO, a 3…
Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task
An Yang, Kai Liu, Jing Liu +2
Current evaluation metrics to question answering based machine reading comprehension (MRC) systems generally focus on the lexical overlap between the candidate and reference answer…
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification
Yizhong Wang, Kai Liu, Jing Liu +5
Machine reading comprehension (MRC) on real web data usually requires the machine to answer a question by analyzing multiple passages retrieved by search engine. Compared with MRC…
Optical control of magnetism in NiFe/VO2 heterostructures
Guodong Wei, Xiaoyang Lin, Zhizhong Si +9
Optical methods for magnetism manipulation have been considered as a promising strategy for ultralow-power and ultrahigh-speed spin switches, which becomes a hot spot in the field…
Spatial Image Steganography Based on Generative Adversarial Network
Jianhua Yang, Kai Liu, Xiangui Kang +2
With the recent development of deep learning on steganalysis, embedding secret information into digital images faces great challenges. In this paper, a secure steganography algorit…
Structured Light Phase Measuring Profilometry Pattern Design for Binary Spatial Light Modulators
Daniel L. Lau, Yu Zhang, Kai Liu
Structured light illumination is an active 3-D scanning technique based on projecting/capturing a set of striped patterns and measuring the warping of the patterns as they reflect…
Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction
Kun Gai, Xiaoqiang Zhu, Han Li +2
CTR prediction in real-world business is a difficult machine learning problem with large scale nonlinear sparse data. In this paper, we introduce an industrial strength solution wi…
Dynamic Sharing Through the ADMM
Xuanyu Cao, K. J. Ray Liu
In this paper, we study a dynamic version of the sharing problem, in which a dynamic system cost function composed of time-variant local costs of subsystems and a shared time-varia…