Jin Lu

Adjunct Assistant Professor, Computer and Information Science, University of Michigan, Dearborn

Assstiant Professor, School of Computing, University of Georgia
News: May 23: I will be moving to University of Georiga School of Computing as an Assistant Professor starting Fall 2023.
   

Jin Lu presently holds the position of Assistant Professor in the School of Computing at the University of Georgia. Additionally, he serves as an Adjunct Assistant Professor within the Department of Computer and Information Science at the University of Michigan, Dearborn. In his role, he also contributes as a faculty member in Precision Health at the University of Michigan. Furthermore, Jin Lu is affiliated with the Michigan Institute for Data Science (MIDAS) and maintains a diverse range of research interests. These encompass machine learning, data mining, optimization, matrix analysis, deep learning, public health, biomedical informatics, and health informatics. A special focus lies in transparent machine learning models, high-performance algorithms, and interpretable methods to address significant scientific and engineering challenges. His academic contributions extend to notable venues, as evidenced by his publications in prestigious Bioinformatics and AI-related conferences and journals, including ICML, NIPS, Internet of Things, UbiComp, Neuropsychopharmacology (Nature Publishing Group), IEEE Transactions on Big Data, BIBM, and Systems Biology. Jin Lu's active engagement in the academic community is underscored by his regular participation as a program committee member in various international conferences, such as BIBM, ICML, AAAI, ECAI, IJCAI, and NeuRIPS. He also lends his expertise as a reviewer for esteemed journals like Machine Learning Journal, Journal of Machine Learning Research, IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing, Pattern Recognition Letters, and Journal of World Wide Web.

 
  • Email: jin.lu@uga.edu, jinluz@umich.edu
  • Address: 549A Boyd Research and Education Center, Athens, GA 30602

    • Teaching

    CIS 505
    Algorithm Analysis and Design

    University of Michigan, Dearborn
    Grad Course
    2022 Fall

    CIS 579
    Aritificial Intelligence

    University of Michigan, Dearborn
    Grad Course
    2022 Fall

    CIS 490I/590K
    Deep Learning

    University of Michigan, Dearborn
    Undergrad/Grad Course
    2021 Winter

    CIS 5700
    Advanced Data Mining

    University of Michigan, Dearborn
    Grad Course
    2021 Winter

    CIS 5700
    Advanced Data Mining

    University of Michigan, Dearborn
    Grad Course
    2020 Winter

    CIS 405/505
    Algorithm Analysis and Design

    University of Michigan, Dearborn
    Undergrad/Grad Course
    2020 Fall

    CIS 5700
    Advanced Data Mining

    University of Michigan, Dearborn
    Grad Course
    2019 Winter

    CIS 405/505
    Algorithm Analysis and Design

    University of Michigan, Dearborn
    Undergrad/Grad Course
    2019 Fall

    CSE 5820
    Machine Learning

    University of Connecticut
    Grad Course
    2019 Spring

    Education

    Ph.D. Computer Science and Engineering

    , University of Connecticut, United States of America

    MSc Applied Mathematics

    Xi'an Jiaotong University, China

    BSc Applied Mathematics

    Northwestern Polytechnical University, China

    Professional Skills

    Thinking

    Coding

    Publication

    Exploration in specifying Loss Function and Meta-Structure for DNA Methylation via Deep Predictive Modelling , Houyi Du, Zeinab Parsons, Jin Lu, International Conference on Intelligent Biology and Medicine (ICIBM), 2022

    A bisection reinforcement learning approach to 3-D indoor localization , Fei Dou, Jin Lu, Tingyang Xu, Chun-Hsi Huang, Jinbo Bi, IEEE Internet of Things Journal, 2021.

    Automatic depression prediction using internet traffic characteristics on smartphones , Chaoqun Yue, Shweta Ware, Reynaldo Morillo, Jin Lu, Chao Shang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang, Smart Health, 2020.

    Predicting depressive symptoms using smartphone data , Guoqing Chao, Jiangwen Sun, Jin Lu, An-Li Wang, Daniel D Langleben, Chiang-Shan Li, Jinbo Bi, Smart Health, 2020.

    Multi-view cluster analysis with incomplete data to understand treatment effects , Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Jin Lu, Chao Shang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang. Information Sciences, 2019.

    Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure , Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Jin Lu, Chao Shang, Jayesh Kamath, Athanasios Bamis, Jinbo Bi, Alexander Russell, Bing Wang, ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), 2019, (ACM Journal of IMWUT).

    Inferring phenotypes from substance use via collaborative matrix completion , Jin Lu, Jiangwen Sun, Xinyu Wang, Henry Kranzler, Joel Gelernter, Jinbo Bi, BMC Systems Biology, 2018.

    Top-Down Indoor Localization with Wi-Fi Fingerprints Using Deep Q-Network , Fei Dou, Jin Lu, Zigeng Wang, Xia Xiao, Jinbo Bi, Chun-Hsi Huang, IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 2018.

    Fusing location data for depression prediction , Chaoqun Yue, Shweta Ware, Reynaldo Morillo, Jin Lu, Chao Shang, Jingbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang, IEEE Transactions on Big Data, 2018

    Edge attention-based multi-relational graph convolutional networks , Chao Shang, Qinqing Liu, Ko-Shin Chen, Jiangwen Sun, Jin Lu, Jinfeng Yi, Jinbo Bi, arXiv preprint arXiv:1802.04944, 2018.

    Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning , Jin Lu, Chao Shang, Chaoqun Yue, Reynaldo Morillo, and Shweta Ware, Jayesh Kamath, Athansios Bamis, Alexander Russell, Bing Wang, and Jinbo Bi, ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), 2018, (ACM Journal of IMWUT).

    VIGAN: Missing View Imputation with Generative Adversarial Networks , Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu, and Jinbo Bi, Proceedings of the IEEE International Conference on Big Data, 2017

    Collaborative Phenotype Inference from Comorbid Substance Use Disorders and Genotypes , Jin Lu, Jiangwen Sun, Xinyu Wang, Henry R. Kranzler, Joel Gelernter and Jinbo Bi, Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2017

    Fusing Location Data for Depression Prediction , Chaoqun Yue and Shweta Ware and Reynaldo Morillo and Jin Lu and Chao Shang and Jinbo Bi and Jayesh Kamath and Alexander Russell and Athanasios Bamis and Bing Wang, IEEE Ubiquitous Intelligence and Computing (UIC), 2017

    Bi-Subspace Saliency Detection , Jin Lu, Fei Dou, Chun-Hsi Huang, IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC), 2017

    Prediction of Clinical Depression Using Smartphone Sensory Data , Jayesh Kamath, Asma Farhan, Chaoqun Yue, Morillo Reynaldo, Shweta Ware, Jin Lu, Jinbo Bi, Alexander Russel, Bamis Athanosis, Bing Wang, Neuropsychophamacology, Nature Publishing Group, 2016

    Behavior vs. Introspection: Refining prediction of clinical depression via smartphone sensing data , Farhan, Asma Ahmad, Chaoqun Yue, Reynaldo Morillo, Shweta Ware, Jin Lu, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, and Bing Wang, Wireless Health, 2016

    A Sparse Interactive Model for Matrix Completion with Side Information , Jin Lu, Guannan Liang, Jiangwen Sun, and Jinbo Bi, Advances in Neural Information Processing Systems (NIPS), 2016

    Multi-view Bi-clustering to Identify Smartphone Sensing Features Indicative of Depression , Asma Ahmad Farhan, Jin Lu, Jinbo Bi, Alexander Russell, Bing Wang, and Athanasios Bamis, IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2016

    Formation of point bars through rising and falling flood stages: Evidence from bar morphology, sediment transport and bed shear stress , Chenliang Wu, Mohammad S. Ullah, Jin Lu, and Janok P. Bhattacharya, Sedimentology 63, no. 6, 2016

    Multi-view sparse co-clustering via proximal alternating linearized minimization , Jiangwen Sun, Jin Lu, Tingyang Xu, and Jinbo Bi, Proceedings of the 32nd International Conference on Machine Learning (ICML), 2015.

    A sparse integrative cluster analysis for understanding soybean phenotypes , Jinbo Bi, Jiangwen Sun, Tingyang Xu, Jin Lu, Yansong Ma, and Lijuan Qiu, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2014

    Selected Grants and Awards

    Services