Zhao, Qing

13 publications

AISTATS 2025 Characterizing the Accuracy-Communication-Privacy Trade-Off in Distributed Stochastic Convex Optimization Sudeep Salgia, Nikola Pavlovic, Yuejie Chi, Qing Zhao

NeurIPS 2025 Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy Qing Zhao, Weijian Deng, Pengxu Wei, ZiYi Dong, Hannan Lu, Xiangyang Ji, Liang Lin

AISTATS 2025 Differentially Private Kernelized Contextual Bandits Nikola Pavlovic, Sudeep Salgia, Qing Zhao

AISTATS 2025 Order-Optimal Regret in Distributed Kernel Bandits Using Uniform Sampling with Shared Randomness Nikola Pavlovic, Sudeep Salgia, Qing Zhao

ECCV 2024 Adaptive Multi-Modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution Junxiong Lin, Yan Wang, Zeng Tao, Boyang Wang, Qing Zhao, Haoran Wang, Xuan Tong, Xinji Mai, Yuxuan Lin, Wei Song, Jiawen Yu, Shaoqi Yan, Wenqiang Zhang

IJCAI 2024 FD-UAD: Unsupervised Anomaly Detection Platform Based on Defect Autonomous Imaging and Enhancement Yang Chang, Yuxuan Lin, Boyang Wang, Qing Zhao, Yan Wang, Wenqiang Zhang

CVPRW 2024 NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-Chao Dou, Gui-Ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor P. Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqing Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo Wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel

NeurIPSW 2024 Order-Optimal Regret in Distributed Kernel Bandits Using Uniform Sampling with Shared Randomness Nikola Pavlovic, Sudeep Salgia, Qing Zhao

ICML 2024 Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency Sudeep Salgia, Sattar Vakili, Qing Zhao

ICML 2023 Distributed Linear Bandits Under Communication Constraints Sudeep Salgia, Qing Zhao

NeurIPS 2021 A Domain-Shrinking Based Bayesian Optimization Algorithm with Order-Optimal Regret Performance Sudeep Salgia, Sattar Vakili, Qing Zhao

ICML 2020 Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization Sudeep Salgia, Qing Zhao, Sattar Vakili

NeurIPS 2017 Online Learning of Optimal Bidding Strategy in Repeated Multi-Commodity Auctions M. Sevi Baltaoglu, Lang Tong, Qing Zhao