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ORCIDJin Lu 0001
Person information
- affiliation: University of Georgia, School of Computing, Atlanta, GA, USA
- affiliation: University of Michigan-Dearborn, Department of Computer and Information Science, Dearborn, MI, USA
- affiliation (PhD 2019): University of Connecticut, Department of Computer Science and Engineering, Storrs, CT, USA
Other persons with the same name
- Jin Lu — disambiguation page
- Jin Lu 0002 — Sun Microsystems, Bloomfield, CO, USA (and 1 more)
- Jin Lu 0003 — University of Houston, Department of Electrical and Computer Engineering, Houston, TX, USA
- Jin Lu 0004 — Sony Electronics Inc, San Jose, CA, USA (and 1 more)
- Jin Lu 0005 — University of Western Ontario, Department of Electrical and Computer Engineering, London, ON, Canada
- Jin Lu 0006
![[0000-0002-3737-3404]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3737-3404")
— Yunnan University, School of Information Science and Engineering, Kunming, China - Jin Lu 0007 — Zhejiang University of Technology, College of Information Engineering, Hangzhou, China
- Jin Lu 0008 — Wuhan Business University, China
- Jin Lu 0009 — Shaanxi University of Science and Technology, School of Electrical Information and Artificial Intelligence, Xi'an, China (and 1 more)
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Journal Articles
- 2024
[j6]Fei Dou, Jin Lu, Tan Zhu, Jinbo Bi:
On-Device Indoor Positioning: A Federated Reinforcement Learning Approach With Heterogeneous Devices. IEEE Internet Things J. 11(3): 3909-3926 (2024)- 2021
- [j5]Fei Dou, Jin Lu, Tingyang Xu, Chun-Hsi Huang, Jinbo Bi:
A Bisection Reinforcement Learning Approach to 3-D Indoor Localization. IEEE Internet Things J. 8(8): 6519-6535 (2021) - [j4]Chaoqun Yue, Shweta Ware, Reynaldo Morillo, Jin Lu, Chao Shang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang:
Fusing Location Data for Depression Prediction. IEEE Trans. Big Data 7(2): 355-370 (2021) - 2019
- [j3]Guoqing Chao, Jiangwen Sun, Jin Lu, An-Li Wang, Daniel D. Langleben, Chiang-shan Ray Li, Jinbo Bi:
Multi-view cluster analysis with incomplete data to understand treatment effects. Inf. Sci. 494: 278-293 (2019) - 2018
- [j2]Jin Lu, Chao Shang, Chaoqun Yue, Reynaldo Morillo, Shweta Ware, Jayesh Kamath, Athanasios Bamis, Alexander Russell, Bing Wang, Jinbo Bi:
Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(1): 21:1-21:21 (2018) - [j1]Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Jin Lu, Chao Shang, Jayesh Kamath, Athanasios Bamis, Jinbo Bi, Alexander Russell, Bing Wang:
Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(4): 195:1-195:27 (2018)
Conference and Workshop Papers
- 2023
- [c11]Tan Zhu, Fei Dou, Xinyu Wang, Jin Lu, Jinbo Bi:
Polyhedron Attention Module: Learning Adaptive-order Interactions. NeurIPS 2023 - 2018
- [c10]Fei Dou, Jin Lu, Zigeng Wang, Xia Xiao, Jinbo Bi, Chun-Hsi Huang:
Top-Down Indoor Localization with Wi-Fi Fingerprints Using Deep Q-Network. MASS 2018: 166-174 - 2017
- [c9]Jin Lu, Jiangwen Sun, Xinyu Wang, Henry R. Kranzler, Joel Gelernter, Jinbo Bi:
Collaborative phenotype inference from comorbid substance use disorders and genotypes. BIBM 2017: 392-397 - [c8]Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu, Jinbo Bi:
VIGAN: Missing view imputation with generative adversarial networks. IEEE BigData 2017: 766-775 - [c7]Jin Lu, Fei Dou:
Bi-subspace saliency detection. CCWC 2017: 1-7 - [c6]Chaoqun Yue, Shweta Ware, Reynaldo Morillo, Jin Lu, Chao Shang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang:
Fusing location data for depression prediction. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-8 - 2016
- [c5]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. CHASE 2016: 264-273 - [c4]Jin Lu, Guannan Liang, Jiangwen Sun, Jinbo Bi:
A Sparse Interactive Model for Matrix Completion with Side Information. NIPS 2016: 4071-4079 - [c3]Asma Ahmad Farhan, Chaoqun Yue, Reynaldo Morillo, Shweta Ware, Jin Lu, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang:
Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data. Wireless Health 2016: 30-37 - 2015
- [c2]Jiangwen Sun, Jin Lu, Tingyang Xu, Jinbo Bi:
Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization. ICML 2015: 757-766 - 2014
- [c1]Jinbo Bi, Jiangwen Sun, Tingyang Xu, Jin Lu, Yansong Ma, Lijuan Qiu:
A sparse integrative cluster analysis for understanding soybean phenotypes. BIBM 2014: 1-7
Informal and Other Publications
- 2023
- [i3]Ziba Parsons, Fei Dou, Houyi Du, Jin Lu:
Mobilizing Personalized Federated Learning via Random Walk Stochastic ADMM. CoRR abs/2304.12534 (2023) - [i2]Fei Dou, Jin Ye, Geng Yuan, Qin Lu, Wei Niu, Haijian Sun, Le Guan, Guoyu Lu, Gengchen Mai, Ninghao Liu, Jin Lu, Zhengliang Liu, Zihao Wu, Chenjiao Tan, Shaochen Xu, Xianqiao Wang, Guoming Li, Lilong Chai, Sheng Li, Jin Sun, Hongyue Sun, Yunli Shao, Changying Li, Tianming Liu, Wenzhan Song:
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges. CoRR abs/2309.07438 (2023) - 2017
- [i1]Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu, Jinbo Bi:
VIGAN: Missing View Imputation with Generative Adversarial Networks. CoRR abs/1708.06724 (2017)
Coauthor Index
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last updated on 2024-06-27 23:14 CEST by the dblp team
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