Fac/Staff profile

Jin
Lu
Ph.D.

Assistant Professor, Computer and Information Science
Lu web
313-583-6618
140 CIS
4901 Evergreen Road
Dearborn, MI 48128
Tuesday and Thursday 1:30pm - 3:00pm

Teaching Areas:

Research Areas:

Biography and Education

Education

Ph.D., University of Connecticut

M.Sc., Xi'an Jiaotong University

B.Sc., Northwestern Polytechnical University

Teaching and Research

Courses Taught

Selected Publications

  1. 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. (to appear in ACM Journal of IMWUT, 2019)
  2. 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. (accepted)
  3. 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. (accepted)
  4. 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
  5. 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)
  6. 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.
  7. 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
  8. 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.
  9. Jin Lu, Fei Dou, Chun-Hsi Huang, Bi-Subspace Saliency Detection, The 7th IEEE Annual Computing and Communication Workshop and Conference, pp. 1-7, 2016
  10. 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
  11. Chenliang Wu, Mohammad S Ullah, Jin Lu, Janok P Bhattacharya, Formation of point bars through rising and falling flood stages: Evidence from bar morphology, sediment transport and bed shear stress, Sedimentology, pp.1458-1473, 2016​​
  12. Asma Ahmad Farhan, Chaoqun Yue, Reynaldo Morillo, Jin Lu, Shweta Ware, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, BingWang, Behavior vs. Introspection: Refining prediction of clinical depression via smartphone sensing data, 2016 IEEE Wireless Health (WH), pp. 30-37, 2016
  13. 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
  14. Jiangwen Sun, Jin Lu, Tingyang Xu, and Jinbo Bi, Multi-view Sparse Co-clustering via Prox​​​​imal Alternating Linearized Minimization, Proceedings of the 32nd International Conference on Machine Learning (ICML), pp. 757-766, 2015
  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

Awards and Recognition

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.

History

Member for
8 months 1 week
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