Multidimensional Cramér-Rao-Leibniz lower bound for vector-measurement-based likelihood functions with parameter-dependent support. - Qin Lu 002; Yaakov Bar-Shalom; Peter Willett 001; Francesco A. N. Palmieri; Fred Daum (FUSION, 2017)

Motion parameter estimation of a thrusting/ballistic object from a single fixed passive sensor with delayed acquisition. - Kaipei Yang; Qin Lu 002; Yaakov Bar-Shalom; Peter Willett 001; Ziv Freund; Ronen Ben-Dov (FUSION, 2017)

Parallel combinatory multicarrier modulation in underwater acoustic communications. - Qin Lu 002; Xiaoyi Hu; Deqing Wang; Shengli Zhou (IET Commun., 2017)

The Multidimensional Cramér-Rao-Leibniz Lower Bound for Likelihood Functions With Parameter-Dependent Support. - Qin Lu 002; Yaakov Bar-Shalom; Peter Willett 001; Francesco Palmieri 001; Fred Daum (IEEE Trans. Aerosp. Electron. Syst., 2017)

A Bootstrapped PMHT with Feature Measurements. - Qin Lu 002; Katherine Domrese; Peter Willett 001; Yaakov Bar-Shalom; Krishna R. Pattipati (IEEE Trans. Aerosp. Electron. Syst., 2017)

Measurement Extraction for a Point Target From an Optical Sensor. - Qin Lu 002; Yaakov Bar-Shalom; Peter Willett 001; Balakumar Balasingam (IEEE Trans. Aerosp. Electron. Syst., 2018)

Tracking Initially Unresolved Thrusting Objects Using an Optical Sensor. - Qin Lu 002; Yaakov Bar-Shalom; Peter Willett 001; Ronen Ben-Dov; Benny Milgrom; Karl Granström (IEEE Trans. Aerosp. Electron. Syst., 2018)

Efficient Estimation of a Thrusting/Ballistic Trajectory Using a Single Passive Sensor. - Qin Lu 002; Yaakov Bar-Shalom; Peter Willett 001; Ronen Ben-Dov; Ting Yuan (IEEE Trans. Aerosp. Electron. Syst., 2018)

Learning Graph Processes with Multiple Dynamical Models. - Qin Lu 002; Vassilis N. Ioannidis; Georgios B. Giannakis; Mario Coutino (ACSSC, 2019)

Semi-Supervised Tracking of Dynamic Processes Over Switching Graphs. - Qin Lu 002; Vassilis N. Ioannidis; Georgios B. Giannakis (DSW, 2019)

Measurement Extraction for Two Closely-Spaced Objects Using an Imaging Sensor. - Qin Lu 002; Yaakov Bar-Shalom; Peter Willett 001; Francesco A. N. Palmieri; Ronen Ben-Dov; Benny Milgrom (IEEE Trans. Aerosp. Electron. Syst., 2019)

Estimation for a Thrusting/Ballistic Object With Mass Ejection From a Single Fixed Passive Sensor With Delayed Acquisition. - Kaipei Yang; Qin Lu 002; Yaakov Bar-Shalom; Peter Willett 001; Ziv Freund; Ronen Ben-Dov; Benny Milgrom (IEEE Trans. Aerosp. Electron. Syst., 2019)

Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability. - Qin Lu 002; Georgios Vasileios Karanikolas; Yanning Shen; Georgios B. Giannakis (AISTATS, 2020)

Semi-Supervised Learning of Processes Over Multi-Relational Graphs. - Qin Lu 002; Vassilis N. Ioannidis; Georgios B. Giannakis (ICASSP, 2020)

Graph-Adaptive Semi-Supervised Tracking of Dynamic Processes Over Switching Network Modes. - Qin Lu 002; Vassilis N. Ioannidis; Georgios B. Giannakis (IEEE Trans. Signal Process., 2020)

Spatio-Temporal Inference of Dynamical Gaussian Processes Over Graphs. - Qin Lu 002; Georgios B. Giannakis (ACSCC, 2021)

Online Graph-Guided Inference Using Ensemble Gaussian Processes of Egonet Features. - Konstantinos D. Polyzos; Qin Lu 002; Georgios B. Giannakis (ACSCC, 2021)

On-Policy Reinforcement Learning via Ensemble Gaussian Processes with Application to Resource Allocation. - Konstantinos D. Polyzos; Qin Lu 002; Alireza Sadeghi; Georgios B. Giannakis (ACSCC, 2021)

Gaussian Process Temporal-Difference Learning with Scalability and Worst-Case Performance Guarantees. - Qin Lu 002; Georgios B. Giannakis (ICASSP, 2021)

Online Unsupervised Learning Using Ensemble Gaussian Processes with Random Features. - Georgios Vasileios Karanikolas; Qin Lu 002; Georgios B. Giannakis (ICASSP, 2021)

Graph-Adaptive Incremental Learning Using an Ensemble of Gaussian Process Experts. - Konstantinos D. Polyzos; Qin Lu 002; Georgios B. Giannakis (ICASSP, 2021)

Robust and Adaptive Temporal-Difference Learning Using An Ensemble of Gaussian Processes. - Qin Lu 002; Georgios B. Giannakis (CoRR, 2021)

Probabilistic Reconstruction of Spatio-Temporal Processes Over Multi-Relational Graphs. - Qin Lu 002; Georgios B. Giannakis (IEEE Trans. Signal Inf. Process. over Networks, 2021)

Active Sampling over Graphs for Bayesian Reconstruction with Gaussian Ensembles. - Konstantinos D. Polyzos; Qin Lu 002; Georgios B. Giannakis (IEEECONF, 2022)

Bayesian Optimization for Task Offloading and Resource Allocation in Mobile Edge Computing. - Jia Yan; Qin Lu 002; Georgios B. Giannakis (IEEECONF, 2022)

Weighted Ensembles for Active Learning with Adaptivity. - Konstantinos D. Polyzos; Qin Lu 002; Georgios B. Giannakis (CoRR, 2022)

Ensemble Gaussian Processes for Online Learning Over Graphs With Adaptivity and Scalability. - Konstantinos D. Polyzos; Qin Lu 002; Georgios B. Giannakis (IEEE Trans. Signal Process., 2022)

Gaussian Process Dynamical Modeling for Adaptive Inference Over Graphs. - Qin Lu 002; Konstantinos D. Polyzos (ICASSP, 2023)

Bayesian Optimization with Ensemble Learning Models and Adaptive Expected Improvement. - Konstantinos D. Polyzos; Qin Lu 002; Georgios B. Giannakis (ICASSP, 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)

Incremental Ensemble Gaussian Processes. - Qin Lu 002; Georgios Vasileios Karanikolas; Georgios B. Giannakis (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process. - Qin Lu 002; Konstantinos D. Polyzos; Bingcong Li; Georgios B. Giannakis (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Active labeling for online ensemble learning. - Konstantinos D. Polyzos; Qin Lu 002; Georgios B. Giannakis (SAM, 2024)

Adaptive Bayesian Optimization for Online Management in Mobile Edge Computing. - Jia Yan; Qin Lu 002; Konstantinos D. Polyzos (SAM, 2024)

Weighted Ensembles for Adaptive Active Learning. - Konstantinos D. Polyzos; Qin Lu 002; Georgios B. Giannakis (IEEE Trans. Signal Process., 2024)

Bayesian Optimization for Online Management in Dynamic Mobile Edge Computing. - Jia Yan; Qin Lu 002; Georgios B. Giannakis (IEEE Trans. Wirel. Commun., 2024)

Online scalable Gaussian processes with conformal prediction for guaranteed coverage. - Jinwen Xu; Qin Lu 002; Georgios B. Giannakis (ICASSP, 2025)

Bayesian Optimization for Robust Identification of Ornstein-Uhlenbeck Model. - Jinwen Xu; Qin Lu 002; Yaakov Bar-Shalom (CoRR, 2025)

Multi-granularity Supervised Contrastive Learning with Online Adaptation for Contactless In-bed Posture Classification. - Yingjian Song; Haotian Xiang; Zixuan Zeng; Jiayu Chen; Yida Zhang; Zaid Farooq Pitafi; He Yang; Qin Lu 002; Xiang Zhang 012; Bradley G. Phillips; Fei Dou; WenZhan Song 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges. - Haoran Lu; Luyang Fang; Ruidong Zhang; Xinliang Li; Jiazhang Cai; Huimin Cheng; Lin Tang; Ziyu Liu; Zeliang Sun; Tao Wang; Yingchuan Zhang; Arif Hassan Zidan; et al. (CoRR, 2025)