1 code implementation • 2 Oct 2023 • Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
In this paper, we present a degradation-aware vision-language model (DA-CLIP) to better transfer pretrained vision-language models to low-level vision tasks as a multi-task framework for image restoration.
Ranked #2 on Single Image Deraining on Rain100H
2 code implementations • 15 Apr 2024 • Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
Though diffusion models have been successfully applied to various image restoration (IR) tasks, their performance is sensitive to the choice of training datasets.
1 code implementation • 27 Jan 2023 • Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
This paper presents a stochastic differential equation (SDE) approach for general-purpose image restoration.
Ranked #3 on Single Image Deraining on Rain100H
1 code implementation • 17 Apr 2023 • Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
This work aims to improve the applicability of diffusion models in realistic image restoration.
1 code implementation • 21 Dec 2020 • Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Ray T. Chen, David Z. Pan
Optical neural networks (ONNs) have demonstrated record-breaking potential in high-performance neuromorphic computing due to their ultra-high execution speed and low energy consumption.
1 code implementation • 11 Nov 2021 • Chenghao Feng, Jiaqi Gu, Hanqing Zhu, Zhoufeng Ying, Zheng Zhao, David Z. Pan, Ray T. Chen
The optical neural network (ONN) is a promising hardware platform for next-generation neurocomputing due to its high parallelism, low latency, and low energy consumption.
1 code implementation • 24 Nov 2021 • Zheng Zhao
Lastly, this thesis features a number of applications of state-space (deep) GPs.
1 code implementation • 11 Aug 2020 • Zheng Zhao, Muhammad Emzir, Simo Särkkä
This paper is concerned with a state-space approach to deep Gaussian process (DGP) regression.
1 code implementation • CVPRW 2023 • 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, JiXiang Niu
We present the new Bokeh Effect Transformation Dataset (BETD), and review the proposed solutions for this novel task at the NTIRE 2023 Bokeh Effect Transformation Challenge.
1 code implementation • 4 Dec 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
If the function is incompletely-specified, the implementation has to be true only on the care set.
1 code implementation • 19 Feb 2021 • Adrien Corenflos, Zheng Zhao, Simo Särkkä
The aim of this article is to present a novel parallelization method for temporal Gaussian process (GP) regression problems.
2 code implementations • 8 Jan 2020 • Zheng Zhao, Toni Karvonen, Roland Hostettler, Simo Särkkä
The paper is concerned with non-linear Gaussian filtering and smoothing in continuous-discrete state-space models, where the dynamic model is formulated as an It\^{o} stochastic differential equation (SDE), and the measurements are obtained at discrete time instants.
1 code implementation • 12 May 2022 • Zheng Zhao, Simo Särkkä, Jens Sjölund, Thomas B. Schön
We present a continuous-time probabilistic approach for estimating the chirp signal and its instantaneous frequency function when the true forms of these functions are not accessible.
1 code implementation • IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE) 2021 • Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Mingjie Liu, Ray T. Chen, David Z. Pan
Optical neural networks (ONNs) have demonstrated promising potentials for next-generation artificial intelligence acceleration with ultra-low latency, high bandwidth, and low energy consumption.
1 code implementation • 30 Oct 2023 • Zheng Zhao, Sebastian Mair, Thomas B. Schön, Jens Sjölund
Recently, partial Bayesian neural networks (pBNNs), which only consider a subset of the parameters to be stochastic, were shown to perform competitively with full Bayesian neural networks.
1 code implementation • 14 Nov 2023 • Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo M. Ponti, Shay B. Cohen
Instead, we provide LLMs with textual narratives and probe them with respect to their common-sense knowledge of the structure and duration of events, their ability to order events along a timeline, and self-consistency within their temporal model (e. g., temporal relations such as after and before are mutually exclusive for any pair of events).
1 code implementation • 4 May 2024 • Zheng Zhao, Emilio Monti, Jens Lehmann, Haytham Assem
Large language models (LLMs) tend to inadequately integrate input context during text generation, relying excessively on encoded prior knowledge in model parameters, potentially resulting in generated text with factual inconsistencies or contextually unfaithful content.
1 code implementation • CCL 2022 • Zheng Zhao, Pinzhen Chen
Recent advances in the field of abstractive summarization leverage pre-trained language models rather than train a model from scratch.
1 code implementation • 9 May 2022 • Pinzhen Chen, Zheng Zhao
We build a dual-way neural dictionary to retrieve words given definitions, and produce definitions for queried words.
1 code implementation • SemEval (NAACL) 2022 • Pinzhen Chen, Zheng Zhao
This paper presents a winning submission to the SemEval 2022 Task 1 on two sub-tasks: reverse dictionary and definition modelling.
1 code implementation • 15 May 2023 • Ashok Urlana, Pinzhen Chen, Zheng Zhao, Shay B. Cohen, Manish Shrivastava, Barry Haddow
This paper introduces PMIndiaSum, a multilingual and massively parallel summarization corpus focused on languages in India.
1 code implementation • 24 Oct 2023 • Zheng Zhao, Yftah Ziser, Bonnie Webber, Shay B. Cohen
Using this tool, we study to what extent and how morphosyntactic features are reflected in the representations learned by multilingual pre-trained models.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Zheng Zhao, Shay B. Cohen, Bonnie Webber
It is well-known that abstractive summaries are subject to hallucination---including material that is not supported by the original text.
no code implementations • 17 Dec 2015 • Jun Liu, Zheng Zhao, Ruiwen Zhang
Coordinate descent is one of the most popular approaches for solving Lasso and its extensions due to its simplicity and efficiency.
no code implementations • 29 Jul 2013 • Jun Liu, Zheng Zhao, Jie Wang, Jieping Ye
Safe screening is gaining increasing attention since 1) solving sparse learning formulations usually has a high computational cost especially when the number of features is large and 2) one needs to try several regularization parameters to select a suitable model.
no code implementations • 30 Oct 2013 • Zheng Zhao, Jun Liu
Screening is an effective technique for speeding up the training process of a sparse learning model by removing the features that are guaranteed to be inactive the process.
no code implementations • 12 Dec 2018 • Zheng Zhao, Simo Särkkä, Ali Bahrami Rad
In this article, we propose a novel ECG classification framework for atrial fibrillation (AF) detection using spectro-temporal representation (i. e., time varying spectrum) and deep convolutional networks.
no code implementations • NeurIPS 2007 • Jieping Ye, Zheng Zhao, Mingrui Wu
The connection between DisKmeans and several other clustering algorithms is also analyzed.
no code implementations • 6 Sep 2019 • Ali Bahrami Rad, Morteza Zabihi, Zheng Zhao, Moncef Gabbouj, Aggelos K. Katsaggelos, Simo Särkkä
Results: The proposed algorithm is validated on the 2018 PhysioNet challenge dataset.
no code implementations • 1 Sep 2020 • Qi Zhao, Zheng Zhao, Xiaoya Fan, Zhengwei Yuan, Qian Mao, YuDong Yao
Recently, with the increasing availability of RNA structure data, new methods based on machine-learning technologies, especially deep learning, have alleviated the issue.
no code implementations • EMNLP (CODI) 2020 • Li Liang, Zheng Zhao, Bonnie Webber
The PDTB-3 contains many more Implicit discourse relations than the previous PDTB-2.
no code implementations • 31 Dec 2020 • Zheng Zhao, Kai Xu, Attaphon Kaewsnod, Xuyang Liu, Ayut Limphirat, Yupeng Yan
The masses of tetraquark states of all $qc\bar q \bar c$ and $cc\bar c \bar c$ quark configurations are evaluated in a constituent quark model, where the Cornell-like potential and one-gluon exchange spin-spin coupling are employed.
High Energy Physics - Phenomenology
no code implementations • 27 Apr 2021 • Zheng Zhao, Philip E. Bourne
Thus, obtaining the desired selectivity, given the whole human kinome, is a fundamental task during early-stage drug discovery.
no code implementations • 20 May 2021 • Zheng Zhao, Rui Gao, Simo Särkkä
This paper is concerned with regularized extensions of hierarchical non-stationary temporal Gaussian processes (NSGPs) in which the parameters (e. g., length-scale) are modeled as GPs.
no code implementations • 22 Jun 2021 • Zheng Zhao, Philip E. Bourne
Finally, we provide a brief perspective on future design strategies for RCKIs, including those that target proteins other than kinases.
no code implementations • CODI 2021 • Zheng Zhao, Bonnie Webber
In the PDTB-3, several thousand implicit discourse relations were newly annotated \textit{within} individual sentences, adding to the over 15, 000 implicit relations annotated \textit{across} adjacent sentences in the PDTB-2.
1 code implementation • 22 Oct 2022 • Zheng Zhao, Yftah Ziser, Shay B. Cohen
We investigate how different domains are encoded in modern neural network architectures.
no code implementations • 15 May 2024 • Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo M. Ponti, Shay B. Cohen
Large language models (LLMs) often exhibit undesirable behaviours, such as generating untruthful or biased content.