Qing Zhao
Cornell University
H-index: 56
North America-United States
Top articles of Qing Zhao
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Grid Monitoring and Protection with Continuous Point-on-Wave Measurements and Generative AI | arXiv preprint arXiv:2403.06942 | Lang Tong Xinyi Wang Qing Zhao | 2024/3/11 |
Generative Probabilistic Time Series Forecasting and Applications in Grid Operations | arXiv preprint arXiv:2402.13870 | Xinyi Wang Lang Tong Qing Zhao | 2024/2/21 |
Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness | arXiv preprint arXiv:2402.13182 | Nikola Pavlovic Sudeep Salgia Qing Zhao | 2024/2/20 |
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret | IEEE Transactions on Signal Processing | Sudeep Salgia Tamir Gabay Qing Zhao Kobi Cohen | 2024/1/19 |
Co-optimizing consumption and EV charging under net energy metering | Minjae Jeon Lang Tong Qing Zhao | 2023/7/16 | |
A perspective on data sharing in digital food safety systems | Chenhao Qian Yuhan Liu Cecil Barnett-Neefs Sudeep Salgia Omer Serbetci | 2023/12/20 | |
Distributed linear bandits under communication constraints | Sudeep Salgia Qing Zhao | 2023/7/3 | |
On the optimality of procrastination policy for ev charging under net energy metering | Minjae Jeon Lang Tong Qing Zhao | 2023/12/13 | |
Provably and practically efficient neural contextual bandits | Sudeep Salgia | 2023/7/3 | |
Online learning for route planning with on-time arrival reliability | Operations Research Letters | Hongyi Jiang Samitha Samaranayake Qing Zhao | 2023/11/1 |
Non-parametric probabilistic time series forecasting via innovations representation | arXiv preprint arXiv:2306.03782 | Xinyi Wang Meijen Lee Qing Zhao Lang Tong | 2023/6/5 |
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency | arXiv preprint arXiv:2310.15351 | Sudeep Salgia Sattar Vakili Qing Zhao | 2023/10/23 |
Client selection for generalization in accelerated federated learning: A multi-armed bandit approach | arXiv preprint arXiv:2303.10373 | Dan Ben Ami Kobi Cohen Qing Zhao | 2023/3/18 |
Collaborative learning in kernel-based bandits for distributed users | IEEE Transactions on Signal Processing | Sudeep Salgia Sattar Vakili Qing Zhao | 2023/10/19 |
Disagreement-based active learning in online settings | IEEE Transactions on Signal Processing | Boshuang Huang Sudeep Salgia Qing Zhao | 2022/3/15 |
Novelty Detection in Time Series via Weak Innovations Representation: A Deep Learning Approach | arXiv preprint arXiv:2210.13358 | Xinyi Wang Mei-jen Lee Qing Zhao Lang Tong | 2022/10/24 |
Co-optimizing distributed energy resources in linear complexity under net energy metering | arXiv preprint arXiv:2208.09781 | Ahmed S Alahmed Lang Tong Qing Zhao | 2022/8/21 |
Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-supervised Learning | Frontiers in Artificial Intelligence | Huanle Zhang Nicharee Wisuthiphaet Hemiao Cui Nitin Nitin Xin Liu | 2022/6/22 |
Multi-armed bandits: Theory and applications to online learning in networks | Qing Zhao | 2022/5/31 | |
Special report: AI Institute for next generation food systems (AIFS) | Computers and Electronics in Agriculture | Ilias Tagkopoulos Stephen F Brown Xin Liu Qing Zhao Tarek I Zohdi | 2022/5/1 |
Co-Authors
