A sparse integrative cluster analysis for understanding soybean phenotypes. - Jinbo Bi; Jiangwen Sun; Tingyang Xu; Jin Lu 001; Yansong Ma; Lijuan Qiu (BIBM, 2014)

Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization. - Jiangwen Sun; Jin Lu 001; Tingyang Xu; Jinbo Bi (ICML, 2015)

Multi-view Bi-clustering to Identify Smartphone Sensing Features Indicative of Depression. - Asma Ahmad Farhan; Jin Lu 001; Jinbo Bi; Alexander Russell; Bing Wang 001; Athanasios Bamis (CHASE, 2016)

A Sparse Interactive Model for Matrix Completion with Side Information. - Jin Lu 001; Guannan Liang; Jiangwen Sun; Jinbo Bi (NIPS, 2016)

Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data. - Asma Ahmad Farhan; Chaoqun Yue; Reynaldo Morillo; Shweta Ware; Jin Lu 001; Jinbo Bi; Jayesh Kamath; Alexander Russell; Athanasios Bamis; Bing Wang 001 (Wireless Health, 2016)

Collaborative phenotype inference from comorbid substance use disorders and genotypes. - Jin Lu 001; Jiangwen Sun; Xinyu Wang; Henry R. Kranzler; Joel Gelernter; Jinbo Bi (BIBM, 2017)

VIGAN: Missing view imputation with generative adversarial networks. - Chao Shang; Aaron Palmer; Jiangwen Sun; Ko-Shin Chen; Jin Lu 001; Jinbo Bi (IEEE BigData, 2017)

Bi-subspace saliency detection. - Jin Lu 001; Fei Dou (CCWC, 2017)

Top-Down Indoor Localization with Wi-Fi Fingerprints Using Deep Q-Network. - Fei Dou; Jin Lu 001; Zigeng Wang; Xia Xiao; Jinbo Bi; Chun-Hsi Huang (MASS, 2018)

Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning. - Jin Lu 001; Chao Shang; Chaoqun Yue; Reynaldo Morillo; Shweta Ware; Jayesh Kamath; Athanasios Bamis; Alexander Russell; Bing Wang 001; Jinbo Bi (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure. - Shweta Ware; Chaoqun Yue; Reynaldo Morillo; Jin Lu 001; Chao Shang; Jayesh Kamath; Athanasios Bamis; Jinbo Bi; Alexander Russell; Bing Wang 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Multi-view cluster analysis with incomplete data to understand treatment effects. - Guoqing Chao; Jiangwen Sun; Jin Lu 001; An-Li Wang; Daniel D. Langleben; Chiang-shan Ray Li; Jinbo Bi (Inf. Sci., 2019)

A Bisection Reinforcement Learning Approach to 3-D Indoor Localization. - Fei Dou; Jin Lu 001; Tingyang Xu; Chun-Hsi Huang; Jinbo Bi (IEEE Internet Things J., 2021)

Fusing Location Data for Depression Prediction. - Chaoqun Yue; Shweta Ware; Reynaldo Morillo; Jin Lu 001; Chao Shang; Jinbo Bi; Jayesh Kamath; Alexander Russell; Athanasios Bamis; Bing Wang 001 (IEEE Trans. Big Data, 2021)

Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM. - Ziba Parsons; Fei Dou; Houyi Du; Zheng Song 001; Jin Lu 001 (NeurIPS, 2023)

Polyhedron Attention Module: Learning Adaptive-order Interactions. - Tan Zhu; Fei Dou; Xinyu Wang; Jin Lu 001; Jinbo Bi (NeurIPS, 2023)

BMEye: Public Health-Oriented Body Mass Index Monitoring Using Commodity WiFi. - Kiran Davuluri; Khairul Mottakin; Zheng Song 001; Jin Lu 001; Mark Allison (WF-IoT, 2023)

Mobilizing Personalized Federated Learning via Random Walk Stochastic ADMM. - Ziba Parsons; Fei Dou; Houyi Du; Jin Lu 001 (CoRR, 2023)

Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges. - Fei Dou; Jin Ye 001; Geng Yuan; Qin Lu 002; Wei Niu 002; Haijian Sun; Le Guan; Guoyu Lu; Gengchen Mai; Ninghao Liu; Jin Lu 001; Zhengliang Liu; et al. (CoRR, 2023)

Proximal Federated Learning for Body Mass Index Monitoring using Commodity WiFi. - Jiaxi Li; Kiran Davuluri; Khairul Mottakin; Zheng Song 001; Fei Dou; Jin Lu 001 (MobiCom, 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 001; Ahmad Banakar; Tianming Liu 001; Xiao Yang (Comput. Electron. Agric., 2024)

Evaluation of OpenAI o1: Opportunities and Challenges of AGI. - Tianyang Zhong; Zhengliang Liu; Yi Pan 001; Yutong Zhang; Yifan Zhou; Shizhe Liang; Zihao Wu 001; Yanjun Lyu; Peng Shu; Xiaowei Yu; Chao Cao; Hanqi Jiang; et al. (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; et al. (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 001; Shizhe Liang; Xiaofeng Yang; Wei Liu 146; Xiang Li 001; Fei Dou; Tianming Liu 001; Jin Lu 001 (CoRR, 2024)

Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios. - Shaochen Xu; Yifan Zhou; Zhengliang Liu; Zihao Wu 001; Tianyang Zhong; Huaqin Zhao; Yiwei Li 002; Hanqi Jiang; Yi Pan 001; Junhao Chen; Jin Lu 001; Wei Zhang 090; et al. (CoRR, 2024)

On-Device Indoor Positioning: A Federated Reinforcement Learning Approach With Heterogeneous Devices. - Fei Dou; Jin Lu 001; Tan Zhu; Jinbo Bi (IEEE Internet Things J., 2024)

Towards Memory-Efficient and Sustainable Machine Unlearning on Edge using Zeroth-Order Optimizer. - Ci Zhang; Chence Yang; Qitao Tan; Jun Liu 075; Ao Li 004; Yanzhi Wang; Jin Lu 001; Jinhui Wang; Geng Yuan (ACM Great Lakes Symposium on VLSI, 2025)

Large Language Models for Bioinformatics. - Wei Ruan; Yanjun Lyu; Jing Zhang 010; Jiazhang Cai; Peng Shu; Yang Ge; Yao Lu; Shang Gao; Yue Wang; Peilong Wang; Lin Zhao 004; Tao Wang; et al. (CoRR, 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 001; Ao Li 004 (CoRR, 2025)

From Task-Specific Models to Unified Systems: A Review of Model Merging Approaches. - Wei Ruan; Tianze Yang; Yifan Zhou; Tianming Liu 001; Jin Lu 001 (CoRR, 2025)

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling. - Weihang You; Hanqi Jiang; Zishuai Liu; Zihang Xie; Tianming Liu 001; Jin Lu 001; Fei Dou (CoRR, 2025)

Rethinking the Potential of Layer Freezing for Efficient DNN Training. - Chence Yang; Ci Zhang; Le Lu 001; Qitao Tan; Sheng Li; Ao Li 004; Xulong Tang; Shaoyi Huang; Jinzhen Wang; Guoming Li; Jundong Li; Xiaoming Zhai; et al. (CoRR, 2025)