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2026

  • 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, others
    Quantitative Biology

2025

  • CARE: Contrastive Alignment for ADL Recognition from Event-Triggered Sensor Streams
    Junhao Zhao, Zishuai Liu, Ruili Fang, Jin Lu, Linghan Zhang, Fei Dou
    arXiv preprint arXiv:2510.16988
  • 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 DS Killgore, Shu-Fen Wung, Chen X Chen, Geng Yuan, Jin Lu, Ao Li
    arXiv preprint arXiv:2501.16215
  • Fusion of Multiple Data Sources for Vehicle Crashworthiness Prediction Using CycleGAN and Temporal Convolutional Networks
    Jice Zeng, Zhenyan Gao, Yang Li, Saeed Barbat, Jin Lu, Zhen Hu
    Journal of Mechanical Design
  • Harmony in divergence: Towards fast, accurate, and memory-efficient zeroth-order llm fine-tuning
    Qitao Tan, Jun Liu, Zheng Zhan, Caiwei Ding, Yanzhi Wang, Xiaolong Ma, Jaewoo Lee, Jin Lu, Geng Yuan
    arXiv preprint arXiv:2502.03304
  • 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, Fei Dou, Tianming Liu, Jin Lu
    Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  • HoP: Homeomorphic Polar Learning for Hard Constrained Optimization
    Ke Deng, Hanwen Zhang, Jin Lu, Haijian Sun
    arXiv preprint arXiv:2502.00304
  • LOCAL: Latent Orthonormal Contrastive Learning for Paired Image Classification
    Fei Dou, Jin Lu, Tan Zhu, Jinbo Bi
    Proceedings of the IEEE/CVF International Conference on Computer Vision
  • Perturbation-efficient zeroth-order optimization for hardware-friendly on-device training
    Qitao Tan, Sung-En Chang, Rui Xia, Huidong Ji, Chence Yang, Ci Zhang, Jun Liu, Zheng Zhan, Zhenman Fang, Zhou Zou, others
    arXiv preprint arXiv:2504.20314
  • Rethinking the Potential of Layer Freezing for Efficient DNN Training
    Chence Yang, Ci Zhang, Lei Lu, Qitao Tan, Sheng Li, Ao Li, Xulong Tang, Shaoyi Huang, Jinzhen Wang, Guoming Li, others
    arXiv preprint arXiv:2508.15033
  • Smarter Together: Combining Large Language Models and Small Models for Physiological Signals Visual Inspection
    Huayu Li, Zhengxiao He, Xiwen Chen, Ci Zhang, Stuart F Quan, William DS Killgore, Shu-Fen Wung, Chen X Chen, Geng Yuan, Jin Lu, others
    Journal of Healthcare Informatics Research
  • 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

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, Gyeonggeon Lee, Liang Zhang, Arne Bewersdorff, Luyang Fang, others
    arXiv preprint arXiv:2410.21287
  • Automatic Segmentation of Birds Using a Combination of Object Detection and Foundation Image Segmentation Models
    Mahtab Saeidifar, Guoming Li, Jin Lu, Chai Lilong, Ramesh Bist, Xiao Yang
    International Journal of Advances in Electronics and Computer Science
  • 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, others
    arXiv preprint arXiv:2409.18486
  • Generative-AI assisted feedback provisioning for project-based learning in CS courses
    Venkata Alekhya Kusam, Larnell Moore, Summit Shrestha, Zheng Song, Jin Lu, Qiang Zhu
    2024 ASEE Annual Conference & Exposition
  • Linglong Kong
    Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, others
    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, and Tianming Liu
  • 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
  • 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, others
    arXiv preprint arXiv:2411.14461
  • 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
    Computers and Electronics in Agriculture

2023

  • BMEye: Public Health-Oriented Body Mass Index Monitoring using Commodity WiFi
    Kiran Davuluri, Khairul Mottakin, Zheng Song, Jin Lu, Mark Allison
    IEEE 9th World Forum on Internet of Things
  • 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
    Advances in Neural Information Processing Systems
  • 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
  • Polyhedron Attention Module: Learning Adaptive-order Interactions
    Tan Zhu, Fei Dou, Xinyu Wang, Jin Lu, Jinbo Bi
    Advances in Neural Information Processing Systems
  • 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, others
    arXiv preprint arXiv:2309.07438

2022

  • Decode-and-compare: An efficient verification scheme for coded distributed edge computing
    Jin Wang, Zhaobo Lu, Mingjia Fu, Jianping Wang, Kejie Lu, Admela Jukan
    IEEE Transactions on Cloud Computing

2020

  • 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
  • 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
  • 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

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 Li, Jinbo Bi
    Information sciences
  • Towards Provable and Scalable Machine Learning
    Jin Lu

2018

  • Edge attention-based multi-relational graph convolutional networks
    Chao Shang, Qinqing Liu, Ko-Shin Chen, Jiangwen Sun, Jin Lu, Jinfeng Yi, Jinbo Bi
    arXiv preprint arXiv:1802.04944
  • Edge attention-based multi-relational graph convolutional networks. arXiv e-prints
    Chao Shang, Qinqing Liu, Ko-Shin Chen, Jiangwen Sun, Jin Lu, Jinfeng Yi, others
    arXiv preprint arXiv:1802.04944
  • 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
  • Inferring phenotypes from substance use via collaborative matrix completion
    Jin Lu, Jiangwen Sun, Xinyu Wang, Henry Kranzler, Joel Gelernter, Jinbo Bi
    BMC systems biology
  • 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
  • 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
  • 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
    2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)

2017

  • Bi-subspace saliency detection
    Jin Lu, Fei Dou
    2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC)
  • Collaborative phenotype inference from comorbid substance use disorders and genotypes
    Jin Lu, Jiangwen Sun, Xinyu Wang, Henry R Kranzler, Joel Gelernter, Jinbo Bi
    2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  • VIGAN: Missing view imputation with generative adversarial networks
    Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu, Jinbo Bi
    2017 IEEE International conference on big data (Big Data)

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
  • 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
    2016 IEEE wireless health (WH)
  • 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
  • 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
    2016 IEEE first international conference on connected health: applications, systems and engineering technologies (CHASE)
  • 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
  • Supplementary Materials for “A Sparse Interactive Model for Matrix Completion with Side Information”
    Jin Lu, Guannan Liang, Jiangwen Sun, Jinbo Bi

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

2014

  • A sparse integrative cluster analysis for understanding soybean phenotypes
    Jinbo Bi, Jiangwen Sun, Tingyang Xu, Jin Lu, Yansong Ma, Lijuan Qiu
    2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)