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Hierarchical Non-Stationary Temporal Gaussian Processes With $L^1$-Regularization


May 20, 2021
Zheng Zhao, Rui Gao, Simo Särkkä

* 20 pages. Submitted to Statistics and Computing 

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Gaussian Process Regression in Logarithmic Time


Mar 10, 2021
Adrien Corenflos, Zheng Zhao, Simo Särkkä

* 9 pages, 3 figures, 2 tables. Supplementary can be found in Ancilliary files 

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Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization


Dec 21, 2020
Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Ray T. Chen, David Z. Pan

* 7 pages content, 2 pages of reference, 6 figures, 4 tables, accepted to Association for the Advancement of Artificial Intelligence (AAAI) 2021 

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Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization


Dec 15, 2020
Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa Junior, Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. de Abreu, Isac de Souza Campos, Augusto Berndt, Cristina Meinhardt, Jonata T. Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit O. Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee

* In this 23 page manuscript, we explore the connection between machine learning and logic synthesis which was the main goal for International Workshop on logic synthesis. It includes approaches applied by ten teams spanning 6 countries across the world 

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Logic Synthesis Meets Machine Learning:Trading Exactness for Generalization


Dec 04, 2020
Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa Junior, Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. de Abreu, Isac de Souza Campos, Augusto Berndt, Cristina Meinhardt, Jonata T. Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit O. Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee

* In this 23 page manuscript, we explore the connection between machine learning and logic synthesis which was the main goal for International Workshop on logic synthesis. It includes approaches applied by ten teams spanning 6 countries across the world 

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Extending Implicit Discourse Relation Recognition to the PDTB-3


Oct 13, 2020
Li Liang, Zheng Zhao, Bonnie Webber


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Reducing Quantity Hallucinations in Abstractive Summarization


Sep 28, 2020
Zheng Zhao, Shay B. Cohen, Bonnie Webber

* Accepted to Findings of EMNLP 2020 

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Review of Machine-Learning Methods for RNA Secondary Structure Prediction


Sep 01, 2020
Qi Zhao, Zheng Zhao, Xiaoya Fan, Zhengwei Yuan, Qian Mao, Yudong Yao

* 25 pages, 5 figures, 1 table 

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Deep State-Space Gaussian Processes


Aug 11, 2020
Zheng Zhao, Muhammad Emzir, Simo Särkkä

* Submitted to Statistics and Computing. The code will be revealed at https://github.com/zgbkdlm/SS-DGP upon acceptance 

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Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering and Smoothing


Jan 08, 2020
Zheng Zhao, Toni Karvonen, Roland Hostettler, Simo Särkkä

* Submitted to IEEE Transactions on Automatic Control. Code is available at (once accepted for publication) https://github.com/zgbkdlm/TME-filter-smoother 

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Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network


Sep 06, 2019
Ali Bahrami Rad, Morteza Zabihi, Zheng Zhao, Moncef Gabbouj, Aggelos K. Katsaggelos, Simo Särkkä


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Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection


Dec 12, 2018
Zheng Zhao, Simo Särkkä, Ali Bahrami Rad

* 13 pages 

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Successive Ray Refinement and Its Application to Coordinate Descent for LASSO


Dec 17, 2015
Jun Liu, Zheng Zhao, Ruiwen Zhang

* 26 pages, 6 figures, 6 tables 

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Safe Screening With Variational Inequalities and Its Application to LASSO


May 12, 2014
Jun Liu, Zheng Zhao, Jie Wang, Jieping Ye

* Accepted by International Conference on Machine Learning 2014 

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Safe and Efficient Screening For Sparse Support Vector Machine


Oct 30, 2013
Zheng Zhao, Jun Liu


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