Jin Lu

Predicting depressive symptoms using smartphone data

J. Bi, Athanasios Bamis, B. Wang, 2020 .

Bi-subspace saliency detection

Jin Lu, Fei Dou, Jin Lu, 2017, 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC).

A Sparse Interactive Model for Matrix Completion with Side Information

Jinbo Bi, Jin Lu, Jiangwen Sun, 2016, NIPS.

Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization

Jinbo Bi, Jin Lu, Jiangwen Sun, 2015, ICML.

Multi-view cluster analysis with incomplete data to understand treatment effects

Jinbo Bi, Jin Lu, Jiangwen Sun, 2019, Inf. Sci..

Edge Attention-based Multi-Relational Graph Convolutional Networks pdf

Jinfeng Yi, Chao Shang, Jinbo Bi, 2018, ArXiv.

Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning

Alexander Russell, Chao Shang, Jinbo Bi, 2018, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data

Alexander Russell, Jinbo Bi, Asma Ahmad Farhan, 2016, 2016 IEEE Wireless Health (WH).

Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure

Alexander Russell, Chao Shang, Jinbo Bi, 2018, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

Fusing Location Data for Depression Prediction

Alexander Russell, Chao Shang, Jinbo Bi, 2021, IEEE Transactions on Big Data.

Multi-view Bi-clustering to Identify Smartphone Sensing Features Indicative of Depression

Alexander Russell, Jinbo Bi, Asma Ahmad Farhan, 2016, 2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).

VIGAN: Missing view imputation with generative adversarial networks

Chao Shang, Aaron Palmer, Jinbo Bi, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Fusing location data for depression prediction

Alexander Russell, Chao Shang, Jinbo Bi, 2017, 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI).

A Bisection Reinforcement Learning Approach to 3-D Indoor Localization

Jinbo Bi, Jin Lu, Tingyang Xu, 2021, IEEE Internet of Things Journal.

Inferring phenotypes from substance use via collaborative matrix completion

Jinbo Bi, Jin Lu, Jiangwen Sun, 2018, BMC Systems Biology.

Collaborative phenotype inference from comorbid substance use disorders and genotypes

Jinbo Bi, Xinyu Wang, Jin Lu, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A sparse integrative cluster analysis for understanding soybean phenotypes

Jinbo Bi, Yansong Ma, Jin Lu, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).