Papers

• Polyhedron Attention Module: Learning Adaptive-order Interactions
  Tan Zhu, Fei Dou, Xinyu Wang, Jin Lu, Jinbo Bi
  Advances in neural information processing systems (NeuRIPS), 2023

• Mobilizing Personalized Federated Learning via Random Walk Stochastic ADMM
  Ziba Parsons, Fei Dou, Houyi Du, Zheng Song, Jin Lu
  Advances in neural information processing systems (NeuRIPS), 2023

• On-Device Indoor Positioning: A Federated Reinforcement Learning Approach With Heterogeneous Devices
  Fei Dou, Jin Lu, Tan Zhu, Jinbo Bi
  IEEE Internet of Things Journal, 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
  Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Jin Lu, Chao Shang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang
  Smart Health, 2020

• Multi-view cluster analysis with incomplete data to understand treatment effects
  Guoqing Chao, Jiangwen Sun, Jin Lu, An-Li Wang, Daniel D Langleben, Chiang-Shan Li, Jinbo Bi
  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
  Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (also on UbiComp, 2019), 2019

• 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, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang
  IEEE Transactions on Big Data, 2018

• Joint modeling of heterogeneous sensing data for depression assessment via multi-task learning
  Jin Lu, Chao Shang, Chaoqun Yue, Reynaldo Morillo, Shweta Ware, Jayesh Kamath, Athanasios Bamis, Alexander Russell, Bing Wang, Jinbo Bi
  Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (also on UbiComp, 2018), 2018

• Edge attention-based multi-relational graph convolutional networks
  Chao Shang, Qinqing Liu, Ko-Shin Chen, Jiangwen Sun, Jin Lu, Jinfeng Yi, Jinbo Bi

• VIGAN - Missing view imputation with generative adversarial networks
  Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu, Jinbo Bi
  IEEE International conference on big data (Big Data), 2017

• Collaborative phenotype inference from comorbid substance use disorders and genotypes
  Jin Lu, Jiangwen Sun, Xinyu Wang, Henry R Kranzler, Joel Gelernter, Jinbo Bi
  IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2017

• Bi-subspace saliency detection
  Jin Lu, Fei Dou
  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
  Neuropsychopharmacology, 2016

• Behavior vs. introspection - refining prediction of clinical depression via smartphone sensing data
  Asma Ahmad Farhan, Chaoqun Yue, Reynaldo Morillo, Shweta Ware, Jin Lu, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang
  IEEE wireless health (WH), 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, Janok P Bhattacharya
  Sedimentology, 2016

• Multi-view bi-clustering to identify smartphone sensing features indicative of depression
  Asma Ahmad Farhan, Jin Lu, Jinbo Bi, Alexander Russell, Bing Wang, Athanasios Bamis
  IEEE first international conference on connected health - applications, systems and engineering technologies (CHASE), 2016

• A sparse interactive model for matrix completion with side information
  Jin Lu, Guannan Liang, Jiangwen Sun, Jinbo Bi
  Advances in neural information processing systems (NeuRIPS), 2016

• Near Bed Flow Process Inferred From Bar Morphology, Sediment Transport and Grain Size Distribution of a Plan-View Exposed Ancient Point Bar Complex
  Mohammad S Ullah Chenliang Wu, Janok Bhattacharya, Jin Lu
  AAPG Annual Convention and Exhibition, 2015

• Multi-view sparse co-clustering via proximal alternating linearized minimization
  Jiangwen Sun, Jin Lu, Tingyang Xu, 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, Lijuan Qiu
  IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2014

Other

My PhD thesis can be found here.