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ORCIDZheng Zhao 0004
Person information
- affiliation: Uppsala University, Sweden
- affiliation (PhD 2021): Aalto University, Finland
Other persons with the same name
- Zheng Zhao — disambiguation page
- Zheng Zhao 0001 — Xi'an Jiaotong University, School of Electronics and Information Engineering, China
- Zheng Zhao 0002 — SAS Institute Inc., Cary, NC, USA (and 1 more)
- Zheng Zhao 0003 — Synopsys Inc., Sunnyvale, CA, USA (and 1 more)
- Zheng Zhao 0005
![[0000-0001-9586-268X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9586-268X")
— University of Edinburgh, School of Informatics, UK - Zheng Zhao 0006 — Beijing Institute of Technology, School of Information and Electronics, Radar Research Laboratory, China
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Journal Articles
- 2024
[j8]Muhammad F. Emzir, Zheng Zhao, Lahouari Cheded, Simo Särkkä:
Gaussian-Based Parametric Bijections for Automatic Projection Filters. IEEE Trans. Autom. Control. 69(5): 3449-3456 (2024)- 2023
- [j7]Muhammad F. Emzir, Zheng Zhao, Simo Särkkä:
Multidimensional projection filters via automatic differentiation and sparse-grid integration. Signal Process. 204: 108832 (2023) - [j6]Zheng Zhao, Simo Särkkä, Jens Sjölund, Thomas B. Schön:
Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals. IEEE Trans. Signal Process. 71: 461-476 (2023) - 2022
- [j5]Zheng Zhao, Simo Särkkä:
Non-Linear Gaussian Smoothing With Taylor Moment Expansion. IEEE Signal Process. Lett. 29: 80-84 (2022) - [j4]Sarang Thombre, Zheng Zhao, Henrik Ramm-Schmidt, José M. Vallet Garcia, Tuomo Malkamäki, Sergey Nikolskiy, Toni Hammarberg, Hiski Nuortie, Mohammad Zahidul H. Bhuiyan, Simo Särkkä, Ville V. Lehtola:
Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review. IEEE Trans. Intell. Transp. Syst. 23(1): 64-83 (2022) - 2021
- [j3]Zheng Zhao, Muhammad F. Emzir, Simo Särkkä:
Deep state-space Gaussian processes. Stat. Comput. 31(6): 75 (2021) - [j2]Zheng Zhao, Toni Karvonen, Roland Hostettler, Simo Särkkä:
Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering. IEEE Trans. Autom. Control. 66(9): 4460-4467 (2021) - 2020
- [j1]Zheng Zhao, Simo Särkkä, Ali Bahrami Rad:
Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection. J. Signal Process. Syst. 92(7): 621-636 (2020)
Conference and Workshop Papers
- 2024
- [c13]Zheng Zhao, Sebastian Mair, Thomas B. Schön, Jens Sjölund:
On Feynman-Kac training of partial Bayesian neural networks. AISTATS 2024: 3223-3231 - 2023
- [c12]Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Ming Cheng, Haoyu Ma, Qiufang Ma, Xiaopeng Sun, Shijie Zhao, Xuhan Sheng, Yukang Ding, Ming Sun, Xing Wen, Dafeng Zhang, Jia Li, Fan Wang, Zheng Xie, Zongyao He, Zidian Qiu, Zilin Pan, Zhihao Zhan, Xingyuan Xian, Zhi Jin, Yuanbo Zhou, Wei Deng, Ruofeng Nie, Jiajun Zhang, Qinquan Gao, Tong Tong, Kexin Zhang, Junpei Zhang, Rui Peng, Yanbiao Ma, Licheng Jiao, Haoran Bai, Lingshun Kong, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Pu Cao, Tianrui Huang, Lu Yang, Qing Song, Bingxin Chen, Chunhua He, Meiyun Chen, Zijie Guo, Shaojuan Luo, Chengzhi Cao, Kunyu Wang, Fanrui Zhang, Qiang Zhang, Nancy Mehta, Subrahmanyam Murala, Akshay Dudhane, Yujin Wang, Lingen Li, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Junyang Chen, Hao Li, Yukai Shi, Zhijing Yang, Wenbin Zou, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan, Hongxia Gao, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Jingxiang Chen, Bo Yang, XiSheryl Zhang, Chenghua Li, Weijun Yuan, Zhan Li, Ruting Deng, Jintao Zeng, Pulkit Mahajan, Sahaj Mistry, Shreyas Chatterjee, Vinit Jakhetiya, Badri N. Subudhi, Sunil Prasad Jaiswal, Zhao Zhang, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Bo Wang, Gen Li, Aijin Li, Lei Sun, Ke Chen, Congling Tang, Yunzhe Li, Jun Chen, Yuan-Chun Chiang, Yi-Chung Chen, Zhi-Kai Huang, Hao-Hsiang Yang, I-Hsiang Chen, Sy-Yen Kuo, Yiheng Wang, Gang Zhu, Xingyi Yang, Songhua Liu, Yongcheng Jing, Xingyu Hu, Jianwen Song, Changming Sun, Arcot Sowmya, Seung Ho Park, Xiaoyan Lei, Jingchao Wang, Chenbo Zhai, Yufei Zhang, Weifeng Cao, Wenlong Zhang:
NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2023: 1346-1372 - [c11]Marcos V. Conde, Manuel Kolmet, Tim Seizinger, Tom E. Bishop, Radu Timofte, Xiangyu Kong, Dafeng Zhang, Jinlong Wu, Fan Wang, Juewen Peng, Zhiyu Pan, Chengxin Liu, Xianrui Luo, Huiqiang Sun, Liao Shen, Zhiguo Cao, Ke Xian, Chaowei Liu, Zigeng Chen, Xingyi Yang, Songhua Liu, Yongcheng Jing, Michael Bi Mi, Xinchao Wang, Zhihao Yang, Wenyi Lian, Siyuan Lai, Haichuan Zhang, Trung Hoang, Amirsaeed Yazdani, Vishal Monga, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Yuxuan Zhao, Baoliang Chen, Yiqing Xu, JiXiangNiu:
Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report. CVPR Workshops 2023: 1643-1659 - [c10]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models. CVPR Workshops 2023: 1680-1691 - [c9]Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte, Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei, Xiaolin Wei, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiaoyi Dong, Xi Sheryl Zhang, Chenghua Li, Cong Leng, Woon-Ha Yeo, Wang-Taek Oh, Yeoreum Lee, Han-Cheol Ryu, Jinting Luo, Chengzhi Jiang, Mingyan Han, Qi Wu, Wenjie Lin, Lei Yu, Xinpeng Li, Ting Jiang, Haoqiang Fan, Shuaicheng Liu, Shuning Xu, Binbin Song, Xiangyu Chen, Shile Zhang, Jiantao Zhou, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Bo Wang, Jiahuan Ren, Yan Luo, Yuki Kondo, Riku Miyata, Fuma Yasue, Taito Naruki, Norimichi Ukita, Hua-En Chang, Hao-Hsiang Yang, Yi-Chung Chen, Yuan-Chun Chiang, Zhi-Kai Huang, Wei-Ting Chen, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Li Xianwei, Huiyuan Fu, Chunlin Liu, Huadong Ma, Binglan Fu, Huiming He, Mengjia Wang, Wenxuan She, Yu Liu, Sabari Nathan, Priya Kansal, Zhongjian Zhang, Huabin Yang, Yan Wang, Yanru Zhang, Shruti S. Phutke, Ashutosh Kulkarni, Md Raqib Khan, Subrahmanyam Murala, Santosh Kumar Vipparthi, Heng Ye, Zixi Liu, Xingyi Yang, Songhua Liu, Yinwei Wu, Yongcheng Jing, Qianhao Yu, Naishan Zheng, Jie Huang, Yuhang Long, Mingde Yao, Feng Zhao, Bowen Zhao, Nan Ye, Ning Shen, Yanpeng Cao, Tong Xiong, Weiran Xia, Dingwen Li, Shuchen Xia:
NTIRE 2023 Image Shadow Removal Challenge Report. CVPR Workshops 2023: 1788-1807 - [c8]Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Han Zhou, Wei Dong, Yangyi Liu, Jun Chen, Huan Liu, Liangyan Li, Zijun Wu, Yubo Dong, Yuyan Li, Tian Qiu, Yu He, Yonghong Lu, Yinwei Wu, Zhenxiang Jiang, Songhua Liu, Xingyi Yang, Yongcheng Jing, Bilel Benjdira, Anas M. Ali, Anis Koubaa, Hao-Hsiang Yang, I-Hsiang Chen, Wei-Ting Chen, Zhi-Kai Huang, Yi-Chung Chen, Chia-Hsuan Hsieh, Hua-En Chang, Yuan-Chun Chiang, Sy-Yen Kuo, Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren, Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani, Vishal Monga, Lehan Yang, Alex Jiahao Wu, Tiancheng Mai, Xiaofeng Cong, Xuemeng Yin, Xuefei Yin, Hazim Emad, Ahmed Abdallah, Yahya Yasser, Dalia Elshahat, Esraa Elbaz, Zhan Li, Wenqing Kuang, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Zhao Zhang, Yanyan Wei, Junhu Wang, Suiyi Zhao, Huan Zheng, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Kui Jiang, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch:
NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. CVPR Workshops 2023: 1808-1825 - [c7]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Image Restoration with Mean-Reverting Stochastic Differential Equations. ICML 2023: 23045-23066 - 2022
- [c6]Adrien Corenflos, Zheng Zhao, Simo Särkkä:
Temporal Gaussian Process Regression in Logarithmic Time. FUSION 2022: 1-5 - [c5]Muhammad F. Emzir, Niki A. Loppi, Zheng Zhao, Syeda Sakira Hassan, Simo Särkkä:
Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors. FUSION 2022: 1-7 - 2020
- [c4]Zheng Zhao, Filip Tronarp, Roland Hostettler, Simo Särkkä:
State-Space Gaussian Process for Drift Estimation in Stochastic Differential Equations. ICASSP 2020: 5295-5299 - [c3]Ajinkya Gorad, Zheng Zhao, Simo Särkkä:
Parameter Estimation in Non-Linear State-Space Models by Automatic Differentiation of Non-Linear Kalman Filters. MLSP 2020: 1-6 - 2019
- [c2]Rui Gao, Filip Tronarp, Zheng Zhao, Simo Särkkä:
Regularized State Estimation And Parameter Learning Via Augmented Lagrangian Kalman Smoother Method. MLSP 2019: 1-6 - 2018
- [c1]Zheng Zhao, Simo Särkkä, Ali Bahrami Rad:
Spectro-Temporal ECG Analysis for atrial fibrillation Detection. MLSP 2018: 1-6
Informal and Other Publications
- 2024
- [i10]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models. CoRR abs/2404.09732 (2024) - 2023
- [i9]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Image Restoration with Mean-Reverting Stochastic Differential Equations. CoRR abs/2301.11699 (2023) - [i8]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models. CoRR abs/2304.08291 (2023) - [i7]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Controlling Vision-Language Models for Universal Image Restoration. CoRR abs/2310.01018 (2023) - [i6]Zheng Zhao, Sebastian Mair, Thomas B. Schön, Jens Sjölund:
On Feynman-Kac training of partial Bayesian neural networks. CoRR abs/2310.19608 (2023) - 2021
- [i5]Adrien Corenflos, Zheng Zhao, Simo Särkkä:
Gaussian Process Regression in Logarithmic Time. CoRR abs/2102.09964 (2021) - [i4]Zheng Zhao, Simo Särkkä:
Non-linear Gaussian smoothing with Taylor moment expansion. CoRR abs/2110.01396 (2021) - 2020
- [i3]Zheng Zhao, Muhammad F. Emzir, Simo Särkkä:
Deep State-Space Gaussian Processes. CoRR abs/2008.04733 (2020) - 2019
- [i2]Ali Bahrami Rad, Morteza Zabihi, Zheng Zhao, Moncef Gabbouj, Aggelos K. Katsaggelos, Simo Särkkä:
Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network. CoRR abs/1909.02971 (2019) - 2018
- [i1]Zheng Zhao, Simo Särkkä, Ali Bahrami Rad:
Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection. CoRR abs/1812.05555 (2018)
Coauthor Index
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