Jin Lu

According to our database, Jin Lu authored at least 22 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

On-Device Indoor Positioning: A Federated Reinforcement Learning Approach With Heterogeneous Devices.

Fei Dou, Jin Lu, Tan Zhu, Jinbo Bi

IEEE Internet Things J., February, 2024

Evaluation of OpenAI o1: Opportunities and Challenges of AGI.

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

CoRR, 2024

Zero-shot image segmentation for monitoring thermal conditions of individual cage-free laying hens.

Mahtab Saeidifar, Guoming Li, Lilong Chai, Ramesh Bist, Khaled M. Rasheed, Jin Lu, Ahmad Banakar, Tianming Liu, Xiao Yang

Comput. Electron. Agric., 2024

2023

Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges.

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

CoRR, 2023

Mobilizing Personalized Federated Learning via Random Walk Stochastic ADMM.

Ziba Parsons, Fei Dou, Houyi Du, Jin Lu

CoRR, 2023

BMEye: Public Health-Oriented Body Mass Index Monitoring Using Commodity WiFi.

Kiran Davuluri, Khairul Mottakin, Zheng Song, Jin Lu, Mark Allison

Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

Polyhedron Attention Module: Learning Adaptive-order Interactions.

Tan Zhu, Fei Dou, Xinyu Wang, Jin Lu, Jinbo Bi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM.

Ziba Parsons, Fei Dou, Houyi Du, Zheng Song, Jin Lu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

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 Trans. Big Data, 2021

A Bisection Reinforcement Learning Approach to 3-D Indoor Localization.

Fei Dou, Jin Lu, Tingyang Xu, Chun-Hsi Huang, Jinbo Bi

IEEE Internet Things J., 2021

2019

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 Ray Li, Jinbo Bi

Inf. Sci., 2019

2018

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

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 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

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 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

Proceedings of the 15th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2018

2017

Bi-subspace saliency detection.

Jin Lu, Fei Dou

Proceedings of the IEEE 7th Annual Computing and Communication Workshop and Conference, 2017

VIGAN: Missing view imputation with generative adversarial networks.

Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu, Jinbo Bi

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Collaborative phenotype inference from comorbid substance use disorders and genotypes.

Jin Lu, Jiangwen Sun, Xinyu Wang, Henry R. Kranzler, Joel Gelernter, Jinbo Bi

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

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

Proceedings of the 2016 IEEE Wireless Health, 2016

A Sparse Interactive Model for Matrix Completion with Side Information.

Jin Lu, Guannan Liang, Jiangwen Sun, Jinbo Bi

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 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

Proceedings of the First IEEE International Conference on Connected Health: Applications, 2016

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, 2015

2014

A sparse integrative cluster analysis for understanding soybean phenotypes.

Jinbo Bi, Jiangwen Sun, Tingyang Xu, Jin Lu, Yansong Ma, Lijuan Qiu

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014