Jin Lu, Ph.D.

• Ph.D., University of Connecticut
• M.Sc., Xi'an Jiaotong University
• B.Sc., Northwestern Polytechnical University

1. Fei Dou, Jin Lu, Tingyang Xu, Chun-Hsi Huang, and Jinbo Bi, “A Bisection Reinforcement Learning Approach to 3-D Indoor Localization.” IEEE Internet of Things Journal (IOT-J) 8, no. 8:6519-6535, 2021.
2. Fei Dou, Jin Lu, Tingyang Xu, Chun-Hsi Huang, Jinbo Bi, A Bisection Reinforcement Learning Approach to 3D Indoor Localization, Internet of Things Journal, 2020.
3. Chaoqun Yue, Shweta Ware, Raynaldo Morillo, Jin Lu, Chao Shang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang, Automatic depression prediction using internet traffic characteristics on smartphones, Smart Health, 2020.
4. Guoqing Chao, Jiangwen Sun, Jin Lu, An-Li Wang, Daniel D Langleben, Chiang-Shan Li, Jinbo Bi, Multi-view cluster analysis with incomplete data to understand treatment effects, Information Sciences, 2019.
5. Shweta Ware, Reynaldo Morillo, Chaoqun Yue, Jin Lu, Chao Shang, Jayesh Kamath, Athansios Bamis, and Jinbo Bi, Alexander Russell and Bing Wang, Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure, ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), 2019.
6. Fei Dou, Jin Lu, Jinbo Bi and Chun-Hsi Huang, Top-Down Indoor Localization with Wi-Fi Fingerprints using Deep Q-Network, IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), 2018.
7. Jin Lu, Jiangwen Sun, Xinyu Wang, Henry R. Kranzler, Joel Gelernter and Jinbo Bi, Inferring Phenotypes from Substance Use via Collaborative Matrix Completion, BMC Systems Biology, 2018.
8. Chaoqun Yue, Reynaldo Morillo, and Shweta Ware, Jin Lu, Chao Shang, Jayesh Kamath, Athansios Bamis, Alexander Russell, Bing Wang, and Jinbo Bi, Fusing Location Data for Depression Prediction, IEEE Transactions on Big Data, doi:10.1109/TBDATA.2018.2872569, 2018
9. Jin Lu, Chao Shang, Chaoqun Yue, Reynaldo Morillo, and Shweta Ware, Jayesh Kamath, Athansios Bamis, Alexander Russell, Bing Wang, and Jinbo Bi, Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning, ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), 2(1), pp. 21, 2018. (also appears in ACM Journal of IMWUT, 2018)
10. Chaoqun Yue, Shweta Ware, Reynaldo Morillo, Jin Lu, Chao Shang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, and Bing Wang, Fusing Location Data for Depression Prediction, IEEE Proceedings of Ubiquitous Intelligence and Computing (UIC), August, 2017.
11. Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu and Jinbo Bi, VIGAN: Missing View Imputation with Generative Adversarial Networks, Proceedings of the IEEE International Conference on Big Data, pp. 766-775, 2017
12. Jin Lu, Jiangwen Sun, Xinyu Wang, Henry R. Kranzler, Joel Gelernter and Jinbo Bi, Collaborative Phenotype Inference from Comorbid Substance Use Disorders and Genotypes, Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 392-397, 2017.
13. Jin Lu, Liang Guannan, Jiangwen Sun, Jinbo Bi, A Sparse Interactive Model for Matrix Completion with Side Information, 30th Conference on Neural Information Processing Systems (NIPS), pp. 4071-4079, 2016
14. Asma Ahmad Farhan, Jin Lu, Jinbo Bi, Alexander Russell, Bing Wang, Athanasios Bamis, Multi-view Bi-Clustering to Identify Smartphone Sensing Features Indicative of Depression, Proceedings of IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), pp. 264-273, 2016
15. Jinbo Bi, Jiangwen Sun, Tingyang Xu, Jin Lu, Yansong Ma, and Lijuan Qiu, A Sparse Integrative Cluster Analysis for Understanding Soybean Phenotypes, Workshop Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1-7, 2014

2021 Research Grant, NSF/University of Texas - Austin.
2018 Student Travel Award, UbiComp.
2018 SIGCHI Student Grant, ACM.
2018 Predoctoral Excellence Fellowship, UCONN.
2017 Student Travel Award, BIBM.
2017 The Taylor L. Booth Graduate Fellowship, UCONN.
2016 Winner of Travelers Data Analysis Competition, Travellers.
2014 Best Workshop Paper Award, BIBM.
2013 Excellent Graduate Student Fellowship, XJTU.
2006-2009 Excellent Student Fellowship, NWPU.