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ORCIDQin Lu 0002
Person information
- affiliation: University of Georgia, School of Electrical and Computer Engineering, Athens, GA, USA
- affiliation: University of Minnesota, Minneapolis, MN, USA
- affiliation (PhD 2018): University of Connecticut, Storrs, CT, USA
Other persons with the same name
- Qin Lu — disambiguation page
- Qin Lu 0001
![[0000-0002-9092-2476]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9092-2476")
(aka: Chin Lu 0001) — Hong Kong Polytechnic University, Hong Kong (and 2 more)
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2020 – today
- 2025
[j16]Yingjian Song, Haotian Xiang, Zixuan Zeng, Jiayu Chen, Yida Zhang, Zaid Farooq Pitafi, He Yang, Qin Lu, Xiang Zhang, Bradley G. Phillips, Fei Dou, WenZhan Song:
Multi-granularity Supervised Contrastive Learning with Online Adaptation for Contactless In-bed Posture Classification. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 9(2): 48:1-48:32 (2025)- [c19]Jinwen Xu, Qin Lu, Georgios B. Giannakis:
Online scalable Gaussian processes with conformal prediction for guaranteed coverage. ICASSP 2025: 1-5 - [i12]Jinwen Xu, Qin Lu, Yaakov Bar-Shalom:
Bayesian Optimization for Robust Identification of Ornstein-Uhlenbeck Model. CoRR abs/2503.06381 (2025) - [i11]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, Jinwen Xu, Jincheng Yu, Meizhi Yu, Hanqi Jiang, Xilin Gong, Weidi Luo, Bolun Sun, Yongkai Chen, Terry Ma, Shushan Wu, Yifan Zhou, Junhao Chen, Haotian Xiang, Jing Zhang, Afrar Jahin, Wei Ruan, Ke Deng, Yi Pan, Peilong Wang, Jiahui Li, Zhengliang Liu, Lu Zhang, Lin Zhao, Wei Liu, Dajiang Zhu, Xin Xing, Fei Dou, Wei Zhang, Chao Huang, Rongjie Liu, Mengrui Zhang, Yiwen Liu, Xiaoxiao Sun, Qin Lu, Zhen Xiang, Wenxuan Zhong, Tianming Liu, Ping Ma:
Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges. CoRR abs/2507.19672 (2025) - [i10]Jarvis Haupt, Qin Lu, Yanning Shen, Jia Chen, Yue Dong, Dan McCreary, Mehmet Akçakaya, Georgios B. Giannakis:
Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities. CoRR abs/2509.08950 (2025) - [i9]Haotian Xiang, Jinwen Xu, Qin Lu:
Fine-tuning LLMs with variational Bayesian last layer for high-dimensional Bayesian optimization. CoRR abs/2510.01471 (2025) - [i8]Jinwen Xu, Qin Lu, Georgios B. Giannakis:
Conformalized Gaussian processes for online uncertainty quantification over graphs. CoRR abs/2510.06181 (2025) - 2024
- [j15]Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis:
Weighted Ensembles for Adaptive Active Learning. IEEE Trans. Signal Process. 72: 4178-4190 (2024) - [j14]Jia Yan, Qin Lu, Georgios B. Giannakis:
Bayesian Optimization for Online Management in Dynamic Mobile Edge Computing. IEEE Trans. Wirel. Commun. 23(4): 3425-3436 (2024) - [c18]Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis:
Active labeling for online ensemble learning. SAM 2024: 1-5 - [c17]Jia Yan, Qin Lu, Konstantinos D. Polyzos:
Adaptive Bayesian Optimization for Online Management in Mobile Edge Computing. SAM 2024: 1-5 - [i7]Jinwen Xu, Qin Lu, Georgios B. Giannakis:
Online scalable Gaussian processes with conformal prediction for guaranteed coverage. CoRR abs/2410.05444 (2024) - 2023
- [j13]Qin Lu, Georgios Vasileios Karanikolas, Georgios B. Giannakis:
Incremental Ensemble Gaussian Processes. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1876-1893 (2023) - [j12]Qin Lu, Konstantinos D. Polyzos, Bingcong Li, Georgios B. Giannakis:
Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11283-11296 (2023) - [c16]Qin Lu, Konstantinos D. Polyzos:
Gaussian Process Dynamical Modeling for Adaptive Inference Over Graphs. ICASSP 2023: 1-5 - [c15]Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis:
Bayesian Optimization with Ensemble Learning Models and Adaptive Expected Improvement. ICASSP 2023: 1-5 - [i6]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:
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges. CoRR abs/2309.07438 (2023) - 2022
- [j11]Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis:
Ensemble Gaussian Processes for Online Learning Over Graphs With Adaptivity and Scalability. IEEE Trans. Signal Process. 70: 17-30 (2022) - [c14]Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis:
Active Sampling over Graphs for Bayesian Reconstruction with Gaussian Ensembles. IEEECONF 2022: 58-64 - [c13]Jia Yan, Qin Lu, Georgios B. Giannakis:
Bayesian Optimization for Task Offloading and Resource Allocation in Mobile Edge Computing. IEEECONF 2022: 1086-1090 - [i5]Qin Lu, Konstantinos D. Polyzos, Bingcong Li, Georgios B. Giannakis:
Surrogate modeling for Bayesian optimization beyond a single Gaussian process. CoRR abs/2205.14090 (2022) - [i4]Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis:
Weighted Ensembles for Active Learning with Adaptivity. CoRR abs/2206.05009 (2022) - [i3]Jia Yan, Qin Lu, Georgios B. Giannakis:
Bayesian Optimization for Online Management in Dynamic Mobile Edge Computing. CoRR abs/2211.09178 (2022) - 2021
- [j10]Qin Lu, Georgios B. Giannakis:
Probabilistic Reconstruction of Spatio-Temporal Processes Over Multi-Relational Graphs. IEEE Trans. Signal Inf. Process. over Networks 7: 166-176 (2021) - [c12]Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis:
Online Graph-Guided Inference Using Ensemble Gaussian Processes of Egonet Features. ACSCC 2021: 182-186 - [c11]Konstantinos D. Polyzos, Qin Lu, Alireza Sadeghi, Georgios B. Giannakis:
On-Policy Reinforcement Learning via Ensemble Gaussian Processes with Application to Resource Allocation. ACSCC 2021: 1018-1022 - [c10]Qin Lu, Georgios B. Giannakis:
Spatio-Temporal Inference of Dynamical Gaussian Processes Over Graphs. ACSCC 2021: 1515-1519 - [c9]Georgios Vasileios Karanikolas, Qin Lu, Georgios B. Giannakis:
Online Unsupervised Learning Using Ensemble Gaussian Processes with Random Features. ICASSP 2021: 3190-3194 - [c8]Qin Lu, Georgios B. Giannakis:
Gaussian Process Temporal-Difference Learning with Scalability and Worst-Case Performance Guarantees. ICASSP 2021: 3485-3489 - [c7]Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis:
Graph-Adaptive Incremental Learning Using an Ensemble of Gaussian Process Experts. ICASSP 2021: 5220-5224 - [i2]Qin Lu, Georgios Vasileios Karanikolas, Georgios B. Giannakis:
Incremental Ensemble Gaussian Processes. CoRR abs/2110.06777 (2021) - [i1]Qin Lu, Georgios B. Giannakis:
Robust and Adaptive Temporal-Difference Learning Using An Ensemble of Gaussian Processes. CoRR abs/2112.00882 (2021) - 2020
- [j9]Qin Lu, Vassilis N. Ioannidis, Georgios B. Giannakis:
Graph-Adaptive Semi-Supervised Tracking of Dynamic Processes Over Switching Network Modes. IEEE Trans. Signal Process. 68: 2586-2597 (2020) - [c6]Qin Lu, Georgios Vasileios Karanikolas, Yanning Shen, Georgios B. Giannakis:
Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability. AISTATS 2020: 1910-1920 - [c5]Qin Lu, Vassilis N. Ioannidis, Georgios B. Giannakis:
Semi-Supervised Learning of Processes Over Multi-Relational Graphs. ICASSP 2020: 5560-5564
2010 – 2019
- 2019
- [j8]Kaipei Yang, Qin Lu, Yaakov Bar-Shalom, Peter Willett, Ziv Freund, Ronen Ben-Dov, Benny Milgrom:
Estimation for a Thrusting/Ballistic Object With Mass Ejection From a Single Fixed Passive Sensor With Delayed Acquisition. IEEE Trans. Aerosp. Electron. Syst. 55(6): 2786-2795 (2019) - [j7]Qin Lu, Yaakov Bar-Shalom, Peter Willett, Francesco A. N. Palmieri, Ronen Ben-Dov, Benny Milgrom:
Measurement Extraction for Two Closely-Spaced Objects Using an Imaging Sensor. IEEE Trans. Aerosp. Electron. Syst. 55(6): 2965-2977 (2019) - [c4]Qin Lu, Vassilis N. Ioannidis, Georgios B. Giannakis, Mario Coutino:
Learning Graph Processes with Multiple Dynamical Models. ACSSC 2019: 1783-1787 - [c3]Qin Lu, Vassilis N. Ioannidis, Georgios B. Giannakis:
Semi-Supervised Tracking of Dynamic Processes Over Switching Graphs. DSW 2019: 64-68 - 2018
- [j6]Qin Lu, Yaakov Bar-Shalom, Peter Willett, Ronen Ben-Dov, Benny Milgrom, Karl Granström:
Tracking Initially Unresolved Thrusting Objects Using an Optical Sensor. IEEE Trans. Aerosp. Electron. Syst. 54(2): 794-807 (2018) - [j5]Qin Lu, Yaakov Bar-Shalom, Peter Willett, Balakumar Balasingam:
Measurement Extraction for a Point Target From an Optical Sensor. IEEE Trans. Aerosp. Electron. Syst. 54(6): 2735-2745 (2018) - [j4]Qin Lu, Yaakov Bar-Shalom, Peter Willett, Ronen Ben-Dov, Ting Yuan:
Efficient Estimation of a Thrusting/Ballistic Trajectory Using a Single Passive Sensor. IEEE Trans. Aerosp. Electron. Syst. 54(6): 3143-3149 (2018) - 2017
- [j3]Qin Lu, Xiaoyi Hu, Deqing Wang, Shengli Zhou:
Parallel combinatory multicarrier modulation in underwater acoustic communications. IET Commun. 11(9): 1331-1337 (2017) - [j2]Qin Lu, Yaakov Bar-Shalom, Peter Willett, Francesco Palmieri, Fred Daum:
The Multidimensional Cramér-Rao-Leibniz Lower Bound for Likelihood Functions With Parameter-Dependent Support. IEEE Trans. Aerosp. Electron. Syst. 53(5): 2331-2343 (2017) - [j1]Qin Lu, Katherine Domrese, Peter Willett, Yaakov Bar-Shalom, Krishna R. Pattipati:
A Bootstrapped PMHT with Feature Measurements. IEEE Trans. Aerosp. Electron. Syst. 53(5): 2559-2571 (2017) - [c2]Qin Lu, Yaakov Bar-Shalom, Peter Willett, Francesco A. N. Palmieri, Fred Daum:
Multidimensional Cramér-Rao-Leibniz lower bound for vector-measurement-based likelihood functions with parameter-dependent support. FUSION 2017: 1-8 - [c1]Kaipei Yang, Qin Lu, Yaakov Bar-Shalom, Peter Willett, Ziv Freund, Ronen Ben-Dov:
Motion parameter estimation of a thrusting/ballistic object from a single fixed passive sensor with delayed acquisition. FUSION 2017: 1-5
Coauthor Index
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