activity
20192023
most citedPrivacy-Preserving Tensor Factorization for Collaborative Health Data Analysis

40 citations · 47 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CR2023

Facing Unknown: Open-World Encrypted Traffic Classification Based on Contrastive Pre-Training

Xiang Li, Beibei Feng, Tianning Zang +2

Traditional Encrypted Traffic Classification (ETC) methods face a significant challenge in classifying large volumes of encrypted traffic in the open-world assumption, i.e., simult…

cs.NI2023★ 2 cited

Links Assignment Scheme based on Potential Edges Importance in Dual-layer Wavelength Routing Optical Satellite Networks

Jingkai Yang, Qiwen Ran, Hongyu Wu +1

With the development of the massive satellite constellation and the on-orbit laser-based communication equipment, the wavelength routing optical satellite network (WROSN) becomes a…

stat.ME2023

Variable selection in balance regression with applications to microbiome compositional data

Jing Ma, Paizhe Xie, Kristyn Pantoja +1

Compositional data, where only relative abundances are available, are common in microbiome and other high-throughput sequencing studies. Log ratios between groups of variables serv…

eess.IV2022

Realization Scheme for Visual Cryptography with Computer-generated Holograms

Tao Yu, Jinge Ma, Guilin Li +3

We propose to realize visual cryptography in an indirect way with the help of computer-generated hologram. At present, the recovery method of visual cryptography is mainly superimp…

cs.LG2022★ 1 cited

Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels

Qiuchen Zhang, Jing Ma, Jian Lou +2

Deep learning models trained on large-scale data have achieved encouraging performance in many real-world tasks. Meanwhile, publishing those models trained on sensitive datasets, s…

cs.CV2022

Considering Image Information and Self-similarity: A Compositional Denoising Network

Jiahong Zhang, Yonggui Zhu, Wenshu Yu +1

Recently, convolutional neural networks (CNNs) have been widely used in image denoising. Existing methods benefited from residual learning and achieved high performance. Much resea…

cs.CL2022

A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning

Ruichao Yang, Jing Ma, Hongzhan Lin +1

The diffusion of rumors on microblogs generally follows a propagation tree structure, that provides valuable clues on how an original message is transmitted and responded by users…

cs.CL2022★ 4 cited

Towards Automated Real-time Evaluation in Text-based Counseling

Anqi Li, Jingsong Ma, Lizhi Ma +3

Automated real-time evaluation of counselor-client interaction is important for ensuring quality counseling but the rules are difficult to articulate. Recent advancements in machin…

cs.LG2021

Communication Efficient Generalized Tensor Factorization for Decentralized Healthcare Networks

Jing Ma, Qiuchen Zhang, Jian Lou +3

Tensor factorization has been proved as an efficient unsupervised learning approach for health data analysis, especially for computational phenotyping, where the high-dimensional E…

cs.LG2019★ 40 cited

Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis

Jing Ma, Qiuchen Zhang, Jian Lou +3

Tensor factorization has been demonstrated as an efficient approach for computational phenotyping, where massive electronic health records (EHRs) are converted to concise and meani…