Jin Lu

According to our database, Jin Lu authored at least 32 papers between 2014 and 2025.

Collaborative distances:

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

2025

Rethinking the Potential of Layer Freezing for Efficient DNN Training.

Chence Yang, Ci Zhang, Le Lu, Qitao Tan, Sheng Li, Ao Li, Xulong Tang, Shaoyi Huang, Jinzhen Wang, Guoming Li, Jundong Li, Xiaoming Zhai, Jin Lu, Geng Yuan

CoRR, August, 2025

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling.

Weihang You, Hanqi Jiang, Zishuai Liu, Zihang Xie, Tianming Liu, Jin Lu, Fei Dou

CoRR, May, 2025

From Task-Specific Models to Unified Systems: A Review of Model Merging Approaches.

Wei Ruan, Tianze Yang, Yifan Zhou, Tianming Liu, Jin Lu

CoRR, March, 2025

Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized Models.

Huayu Li, Xiwen Chen, Ci Zhang, Stuart F. Quan, William D. S. Killgore, Shu-Fen Wung, Chen X. Chen, Geng Yuan, Jin Lu, Ao Li

CoRR, January, 2025

Large Language Models for Bioinformatics.

Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu

CoRR, January, 2025

Towards Memory-Efficient and Sustainable Machine Unlearning on Edge using Zeroth-Order Optimizer.

Ci Zhang, Chence Yang, Qitao Tan, Jun Liu, Ao Li, Yanzhi Wang, Jin Lu, Jinhui Wang, Geng Yuan

Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

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

Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios.

Shaochen Xu, Yifan Zhou, Zhengliang Liu, Zihao Wu, Tianyang Zhong, Huaqin Zhao, Yiwei Li, Hanqi Jiang, Yi Pan, Junhao Chen, Jin Lu, Wei Zhang, Tuo Zhang, Lu Zhang, Dajiang Zhu, Xiang Li, Wei Liu, Quanzheng Li, Andrea Sikora, Xiaoming Zhai, Zhen Xiang, Tianming Liu

CoRR, 2024

HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization.

Huaqin Zhao, Jiaxi Li, Yi Pan, Shizhe Liang, Xiaofeng Yang, Wei Liu, Xiang Li, Fei Dou, Tianming Liu, Jin Lu

CoRR, 2024

A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education.

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

CoRR, 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

Proximal Federated Learning for Body Mass Index Monitoring using Commodity WiFi.

Jiaxi Li, Kiran Davuluri, Khairul Mottakin, Zheng Song, Fei Dou, Jin Lu

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 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