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Jin 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 — 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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2020 – today
- 2024
- [j7]Mahtab Saeidifar, Guoming Li, Lilong Chai, Ramesh Bist, Khaled M. Rasheed, Jin Lu, Ahmad Banakar, Tianming Liu, Xiao Yang:
Zero-shot image segmentation for monitoring thermal conditions of individual cage-free laying hens. Comput. Electron. Agric. 226: 109436 (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) - [i5]Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu:
Evaluation of OpenAI o1: Opportunities and Challenges of AGI. CoRR abs/2409.18486 (2024) - [i4]Ehsan Latif, Yifan Zhou, Shuchen Guo, Yizhu Gao, Lehong Shi, Matthew Nayaaba, Gyeong-Geon Lee, Liang Zhang, Arne Bewersdorff, Luyang Fang, Xiantong Yang, Huaqin Zhao, Hanqi Jiang, Haoran Lu, Jiaxi Li, Jichao Yu, Weihang You, Zhengliang Liu, Vincent Shung Liu, Hui Wang, Zihao Wu, Jin Lu, Fei Dou, Ping Ma, Ninghao Liu, Tianming Liu, Xiaoming Zhai:
A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education. CoRR abs/2410.21287 (2024) - 2023
- [c13]Ziba Parsons, Fei Dou, Houyi Du, Zheng Song, Jin Lu:
Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM. NeurIPS 2023 - [c12]Tan Zhu, Fei Dou, Xinyu Wang, Jin Lu, Jinbo Bi:
Polyhedron Attention Module: Learning Adaptive-order Interactions. NeurIPS 2023 - [c11]Kiran Davuluri, Khairul Mottakin, Zheng Song, Jin Lu, Mark Allison:
BMEye: Public Health-Oriented Body Mass Index Monitoring Using Commodity WiFi. WF-IoT 2023: 1-6 - [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) - 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)
2010 – 2019
- 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) - [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 - [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) - 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
Coauthor Index
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last updated on 2024-12-03 20:27 CET by the dblp team
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