no code implementations • WOSP 2020 • Chenrui Guo, Haoran Cui, Li Zhang, Jiamin Wang, Wei Lu, Jian Wu
The tool is built on a Support Vector Machine (SVM) model trained on a set of 7, 058 manually annotated citation context sentences, curated from 34, 000 papers from the ACL Anthology.
1 code implementation • EMNLP (sdp) 2020 • Jian Wu, Pei Wang, Xin Wei, Sarah Rajtmajer, C. Lee Giles, Christopher Griffin
We built a supplementary database by linking CORD-19 papers with acknowledgement entities extracted by AckExtract including persons and organizations and find that only up to 50–60% of named entities are actually acknowledged.
no code implementations • 17 May 2022 • Mostafa Karimi, Changliang Liu, Kenichi Kumatani, Yao Qian, Tianyu Wu, Jian Wu
Self-supervised learning (SSL) methods have proven to be very successful in automatic speech recognition (ASR).
1 code implementation • 6 May 2022 • Zui Chen, Yansen Jing, Shengcheng Yuan, Yifei Xu, Jian Wu, Hang Zhao
Synthesizer is a type of electronic musical instrument that is now widely used in modern music production and sound design.
no code implementations • 30 Apr 2022 • Md Reshad Ul Hoque, Jiang Li, Jian Wu
To our best knowledge, this is the first dataset of this kind.
no code implementations • 27 Apr 2022 • Sanyuan Chen, Yu Wu, Zhuo Chen, Jian Wu, Takuya Yoshioka, Shujie Liu, Jinyu Li, Xiangzhan Yu
In this paper, an ultra fast speech separation Transformer model is proposed to achieve both better performance and efficiency with teacher student learning (T-S learning).
no code implementations • 27 Apr 2022 • Sanyuan Chen, Yu Wu, Chengyi Wang, Shujie Liu, Zhuo Chen, Peidong Wang, Gang Liu, Jinyu Li, Jian Wu, Xiangzhan Yu, Furu Wei
Recently, self-supervised learning (SSL) has demonstrated strong performance in speaker recognition, even if the pre-training objective is designed for speech recognition.
1 code implementation • 25 Apr 2022 • Heng Lian, John Scovil Atwood, BoJian Hou, Jian Wu, Yi He
This paper investigates a new online learning problem with doubly-streaming data, where the data streams are described by feature spaces that constantly evolve, with new features emerging and old features fading away.
1 code implementation • 6 Apr 2022 • Zhuangwei Shi, Yang Hu, Guangliang Mo, Jian Wu
Due to the complex volatility of the stock market, the research and prediction on the change of the stock price, can avoid the risk for the investors.
no code implementations • 30 Mar 2022 • Naoyuki Kanda, Jian Wu, Yu Wu, Xiong Xiao, Zhong Meng, Xiaofei Wang, Yashesh Gaur, Zhuo Chen, Jinyu Li, Takuya Yoshioka
The proposed speaker embedding, named t-vector, is extracted synchronously with the t-SOT ASR model, enabling joint execution of speaker identification (SID) or speaker diarization (SD) with the multi-talker transcription with low latency.
no code implementations • 28 Feb 2022 • Haohao Hu, Hexing Yang, Jian Wu, Xiao Lei, Frank Bieder, Jan-Hendrik Pauls, Christoph Stiller
Since a 3D surface can be usually observed from multiple camera images with different view poses, an optimal image patch selection for the texturing and an optimal semantic class estimation for the semantic mapping are still challenging.
1 code implementation • 22 Feb 2022 • Zhenfeng He, Yuqiang Han, Zhenqiu Ouyang, Wei Gao, Hongxu Chen, Guandong Xu, Jian Wu
Therefore, we make the first attempt to recommend medications with the conversations between doctors and patients.
no code implementations • 14 Feb 2022 • Jian Wu, Wanli Liu, Chen Li, Tao Jiang, Islam Mohammad Shariful, Hongzan Sun, Xiaoqi Li, Xintong Li, Xinyu Huang, Marcin Grzegorzek
Image analysis technology is used to solve the inadvertences of artificial traditional methods in disease, wastewater treatment, environmental change monitoring analysis and convolutional neural networks (CNN) play an important role in microscopic image analysis.
no code implementations • 7 Feb 2022 • Daniel Tompkins, Kshitiz Kumar, Jian Wu
An Xception model reaches state-of-the-art (SOTA) accuracy on the ESC-50 dataset for audio event detection through knowledge transfer from ImageNet weights, pretraining on AudioSet, and an on-the-fly data augmentation pipeline.
no code implementations • 2 Feb 2022 • Naoyuki Kanda, Jian Wu, Yu Wu, Xiong Xiao, Zhong Meng, Xiaofei Wang, Yashesh Gaur, Zhuo Chen, Jinyu Li, Takuya Yoshioka
This paper proposes a token-level serialized output training (t-SOT), a novel framework for streaming multi-talker automatic speech recognition (ASR).
no code implementations • 21 Jan 2022 • Xiaoqi Li, HaoYuan Chen, Chen Li, Md Mamunur Rahaman, Xintong Li, Jian Wu, Xiaoyan Li, Hongzan Sun, Marcin Grzegorzek
In the past ten years, the computing power of machine vision (MV) has been continuously improved, and image analysis algorithms have developed rapidly.
no code implementations • 3 Jan 2022 • Yixuan Wu, Kuanlun Liao, Jintai Chen, Jinhong Wang, Danny Z. Chen, Honghao Gao, Jian Wu
In this paper, we propose a new method called Dilated Transformer, which conducts self-attention for pair-wise patch relations captured alternately in local and global scopes.
no code implementations • 23 Dec 2021 • Pengchuan Xiao, Zhenlei Shao, Steven Hao, Zishuo Zhang, Xiaolin Chai, Judy Jiao, Zesong Li, Jian Wu, Kai Sun, Kun Jiang, Yunlong Wang, Diange Yang
The accelerating development of autonomous driving technology has placed greater demands on obtaining large amounts of high-quality data.
no code implementations • 23 Dec 2021 • Sarah Rajtmajer, Christopher Griffin, Jian Wu, Robert Fraleigh, Laxmaan Balaji, Anna Squicciarini, Anthony Kwasnica, David Pennock, Michael McLaughlin, Timothy Fritton, Nishanth Nakshatri, Arjun Menon, Sai Ajay Modukuri, Rajal Nivargi, Xin Wei, C. Lee Giles
Explainably estimating confidence in published scholarly work offers opportunity for faster and more robust scientific progress.
1 code implementation • 15 Dec 2021 • Ruiwei Feng, Yufeng Xie, Minshan Lai, Danny Z. Chen, Ji Cao, Jian Wu
Accurate drug response prediction (DRP) is a crucial yet challenging task in precision medicine.
1 code implementation • 6 Dec 2021 • Jintai Chen, Kuanlun Liao, Yao Wan, Danny Z. Chen, Jian Wu
A special basic block is built using AbstLays, and we construct a family of Deep Abstract Networks (DANets) for tabular data classification and regression by stacking such blocks.
no code implementations • 28 Oct 2021 • Yixuan Zhang, Zhuo Chen, Jian Wu, Takuya Yoshioka, Peidong Wang, Zhong Meng, Jinyu Li
In this paper, we propose to apply recurrent selective attention network (RSAN) to CSS, which generates a variable number of output channels based on active speaker counting.
3 code implementations • 26 Oct 2021 • Sanyuan Chen, Chengyi Wang, Zhengyang Chen, Yu Wu, Shujie Liu, Zhuo Chen, Jinyu Li, Naoyuki Kanda, Takuya Yoshioka, Xiong Xiao, Long Zhou, Shuo Ren, Yanmin Qian, Yao Qian, Jian Wu, Michael Zeng, Xiangzhan Yu, Furu Wei
Self-supervised learning (SSL) achieves great success in speech recognition, while limited exploration has been attempted for other speech processing tasks.
2 code implementations • 12 Oct 2021 • Sanyuan Chen, Yu Wu, Chengyi Wang, Zhengyang Chen, Zhuo Chen, Shujie Liu, Jian Wu, Yao Qian, Furu Wei, Jinyu Li, Xiangzhan Yu
We integrate the proposed methods into the HuBERT framework.
no code implementations • 4 Sep 2021 • Mingzhi Yu, Diane Litman, Shuang Ma, Jian Wu
Then we use the model to perform similarity measure in a corpus-based entrainment analysis.
no code implementations • 6 Jul 2021 • Naoyuki Kanda, Xiong Xiao, Jian Wu, Tianyan Zhou, Yashesh Gaur, Xiaofei Wang, Zhong Meng, Zhuo Chen, Takuya Yoshioka
Our evaluation on the AMI meeting corpus reveals that after fine-tuning with a small real data, the joint system performs 8. 9--29. 9% better in accuracy compared to the best modular system while the modular system performs better before such fine-tuning.
no code implementations • 5 Jul 2021 • Jian Wu, Zhuo Chen, Sanyuan Chen, Yu Wu, Takuya Yoshioka, Naoyuki Kanda, Shujie Liu, Jinyu Li
Speech separation has been successfully applied as a frontend processing module of conversation transcription systems thanks to its ability to handle overlapped speech and its flexibility to combine with downstream tasks such as automatic speech recognition (ASR).
1 code implementation • 1 Jul 2021 • Muntabir Hasan Choudhury, Himarsha R. Jayanetti, Jian Wu, William A. Ingram, Edward A. Fox
Our experiments show that CRF with visual features outperformed both a heuristic and a CRF model with only text-based features.
no code implementations • 30 Jun 2021 • Amber Afshan, Kshitiz Kumar, Jian Wu
We propose a cost-effective method of using CC scores to select an optimal adaptation data set, where we maximize ASR gains from minimal data.
no code implementations • 23 Jun 2021 • Sampanna Yashwant Kahu, William A. Ingram, Edward A. Fox, Jian Wu
To the best of our knowledge, ScanBank is the first manually annotated dataset for figure and table extraction for scanned ETDs.
1 code implementation • NAACL (sdp) 2021 • Athar Sefid, Jian Wu, Prasenjit Mitra, Lee Giles
Presentation slides describing the content of scientific and technical papers are an efficient and effective way to present that work.
no code implementations • 20 May 2021 • Meng Ling, Jian Chen, Torsten Möller, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Robert S. Laramee, Han-Wei Shen, Jian Wu, C. Lee Giles
We present document domain randomization (DDR), the first successful transfer of convolutional neural networks (CNNs) trained only on graphically rendered pseudo-paper pages to real-world document segmentation.
1 code implementation • 12 May 2021 • Jintai Chen, Xiangshang Zheng, Hongyun Yu, Danny Z. Chen, Jian Wu
For the first time, we propose a new concept, Electrocardio Panorama, which allows visualizing ECG signals from any queried viewpoints.
no code implementations • 8 Apr 2021 • Jian Wu, Rajal Nivargi, Sree Sai Teja Lanka, Arjun Manoj Menon, Sai Ajay Modukuri, Nishanth Nakshatri, Xin Wei, Zhuoer Wang, James Caverlee, Sarah M. Rajtmajer, C. Lee Giles
In this paper, we investigate prediction of the reproducibility of SBS papers using machine learning methods based on a set of features.
no code implementations • 21 Feb 2021 • Chen Li, Xintong Li, Md Rahaman, Xiaoyan Li, Hongzan Sun, Hong Zhang, Yong Zhang, Xiaoqi Li, Jian Wu, YuDong Yao, Marcin Grzegorzek
This paper reviews the methods of WSI analysis based on machine learning.
no code implementations • 10 Feb 2021 • Jintai Chen, Bohan Yu, Biwen Lei, Ruiwei Feng, Danny Z. Chen, Jian Wu
The architecture of DI is designed to learn the diagnostic logistics of doctors using the scoring methods (e. g., the Tanner-Whitehouse method) for bone age assessment.
no code implementations • 9 Feb 2021 • Jintai Chen, Hongyun Yu, Ruiwei Feng, Danny Z. Chen, Jian Wu
In clinical practice, medical image interpretation often involves multi-labeled classification, since the affected parts of a patient tend to present multiple symptoms or comorbidities.
no code implementations • 6 Feb 2021 • Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno
Speaker attribution is required in many real-world applications, such as meeting transcription, where speaker identity is assigned to each utterance according to speaker voice profiles.
no code implementations • 7 Dec 2020 • Yasith Jayawardana, Alexander C. Nwala, Gavindya Jayawardena, Jian Wu, Sampath Jayarathna, Michael L. Nelson, C. Lee Giles
The vastness of the web imposes a prohibitive cost on building large-scale search engines with limited resources.
no code implementations • 29 Nov 2020 • Yan He, Jifang Qiu, Chang Liu, Yue Liu, Jian Wu
The latest theoretical advances in the field of unlimited sampling framework (USF) show the potential to avoid clipping problems of analog-to-digital converters (ADC).
1 code implementation • 4 Nov 2020 • Yihui Fu, Zhuoyuan Yao, Weipeng He, Jian Wu, Xiong Wang, Zhanheng Yang, Shimin Zhang, Lei Xie, DongYan Huang, Hui Bu, Petr Motlicek, Jean-Marc Odobez
In this challenge, we open source a sizable speech, keyword, echo and noise corpus for promoting data-driven methods, particularly deep-learning approaches on KWS and SSL.
Sound Audio and Speech Processing
1 code implementation • 2 Nov 2020 • Guojun Wang, Bin Tian, Yachen Zhang, Long Chen, Dongpu Cao, Jian Wu
3D object detection based on LiDAR-camera fusion is becoming an emerging research theme for autonomous driving.
no code implementations • 1 Nov 2020 • Fengying Che, Ruichuan Shi, Jian Wu, Haoran Li, Shuqin Li, Weixing Chen, Hao Zhang, Zhi Li, Xiaoyu Cui
The feature extraction methods of radiomics are mainly based on static tomographic images at a certain moment, while the occurrence and development of disease is a dynamic process that cannot be fully reflected by only static characteristics.
no code implementations • 7 Sep 2020 • Jian Wu, Zhuo Chen, Jinyu Li, Takuya Yoshioka, Zhili Tan, Ed Lin, Yi Luo, Lei Xie
Previously, we introduced a sys-tem, calledunmixing, fixed-beamformerandextraction(UFE), that was shown to be effective in addressing the speech over-lap problem in conversation transcription.
no code implementations • 31 Aug 2020 • Jian Wu, William B. Haskell, Wenjie Huang, Huifu Xu
Preference robust choice models concern decision-making problems where the decision maker's (DM) utility/risk preferences are ambiguous and the evaluation is based on the worst-case utility function/risk measure from a set of plausible utility functions/risk measures.
no code implementations • 15 Aug 2020 • Long Xu, Ilia Tutunnikov, Lianrong Zhou, Kang Lin, Junjie Qiang, Peifen Lu, Yehiam Prior, Ilya Sh. Averbukh, Jian Wu
Abstract We report the experimental observation of molecular unidirectional rotation (UDR) echoes, and analyze their origin and behavior both classically and quantum mechanically.
Optics
1 code implementation • 13 Aug 2020 • Sanyuan Chen, Yu Wu, Zhuo Chen, Jian Wu, Jinyu Li, Takuya Yoshioka, Chengyi Wang, Shujie Liu, Ming Zhou
Continuous speech separation plays a vital role in complicated speech related tasks such as conversation transcription.
1 code implementation • 12 Aug 2020 • Haohe Liu, Lei Xie, Jian Wu, Geng Yang
We aim to address the major issues in CNN-based high-resolution MSS model: high computational cost and weight sharing between distinctly different bands.
Audio and Speech Processing Sound
7 code implementations • Interspeech 2020 • Yanxin Hu, Yun Liu, Shubo Lv, Mengtao Xing, Shimin Zhang, Yihui Fu, Jian Wu, Bihong Zhang, Lei Xie
Speech enhancement has benefited from the success of deep learning in terms of intelligibility and perceptual quality.
Ranked #3 on
Speech Enhancement
on Deep Noise Suppression (DNS) Challenge
(PESQ-NB metric)
Speech Enhancement
Audio and Speech Processing
Sound
no code implementations • 27 Jul 2020 • Bharath Kandimalla, Shaurya Rohatgi, Jian Wu, C. Lee Giles
The results showed the importance of retraining word embedding models to maximize the vocabulary overlap and the effectiveness of the attention mechanism.
2 code implementations • 13 Jul 2020 • Guojun Wang, Jian Wu, Bin Tian, Siyu Teng, Long Chen, Dongpu Cao
However, because inherent sparsity of point clouds, 3D object center points are likely to be in empty space which makes it difficult to estimate accurate boundaries.
no code implementations • 22 May 2020 • Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno
Deep speaker embedding models have been commonly used as a building block for speaker diarization systems; however, the speaker embedding model is usually trained according to a global loss defined on the training data, which could be sub-optimal for distinguishing speakers locally in a specific meeting session.
12 code implementations • 19 Apr 2020 • Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Jian Wu
UNet, which is one of deep learning networks with an encoder-decoder architecture, is widely used in medical image segmentation.
Ranked #1 on
Medical Image Segmentation
on LiTS2017
1 code implementation • 30 Jan 2020 • Zhuo Chen, Takuya Yoshioka, Liang Lu, Tianyan Zhou, Zhong Meng, Yi Luo, Jian Wu, Xiong Xiao, Jinyu Li
In this paper, we define continuous speech separation (CSS) as a task of generating a set of non-overlapped speech signals from a \textit{continuous} audio stream that contains multiple utterances that are \emph{partially} overlapped by a varying degree.
no code implementations • 6 Jan 2020 • Jianwei Yu, Shi-Xiong Zhang, Jian Wu, Shahram Ghorbani, Bo Wu, Shiyin Kang, Shansong Liu, Xunying Liu, Helen Meng, Dong Yu
Experiments on overlapped speech simulated from the LRS2 dataset suggest the proposed AVSR system outperformed the audio only baseline LF-MMI DNN system by up to 29. 98\% absolute in word error rate (WER) reduction, and produced recognition performance comparable to a more complex pipelined system.
Ranked #7 on
Lipreading
on LRS2
(using extra training data)
no code implementations • 9 Dec 2019 • Shaurya Rohatgi, Wei Zhong, Richard Zanibbi, Jian Wu, C. Lee Giles
Query Auto Completion (QAC) is among the most appealing features of a web search engine.
no code implementations • NeurIPS 2019 • Jian Wu, Peter Frazier
Expected improvement and other acquisition functions widely used in Bayesian optimization use a "one-step" assumption: they value objective function evaluations assuming no future evaluations will be performed.
no code implementations • 29 Nov 2019 • Rujing Yao, Linlin Hou, Yingchun Ye, Ou wu, Ji Zhang, Jian Wu
In the field of machine learning, the involved methods (M) and datasets (D) are key information in papers.
no code implementations • 11 Jul 2019 • Chen Xu, Quan Li, Junfeng Ge, Jinyang Gao, Xiaoyong Yang, Changhua Pei, Fei Sun, Jian Wu, Hanxiao Sun, Wenwu Ou
To guarantee the consistency of off-line training and on-line serving, we usually utilize the same features that are both available.
no code implementations • 10 Jul 2019 • Tianxiu Yu, Shijie Zhang, Cong Lin, ShaoDi You, Jian Wu, Jiawan Zhang, Xiaohong Ding, Huili An
Follow the trend, we release the first public dataset for Dunhuang Grotto Painting restoration.
1 code implementation • 20 Jun 2019 • Athar Sefid, Jian Wu, Allen C. Ge, Jing Zhao, Lu Liu, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles
We introduce a system designed to match scholarly document entities with noisy metadata against a reference dataset.
no code implementations • 17 May 2019 • Fahimeh Bahmaninezhad, Jian Wu, Rongzhi Gu, Shi-Xiong Zhang, Yong Xu, Meng Yu, Dong Yu
We study the speech separation problem for far-field data (more similar to naturalistic audio streams) and develop multi-channel solutions for both frequency and time-domain separators with utilizing spectral, spatial and speaker location information.
1 code implementation • CVPR 2019 • Xingde Ying, Heng Guo, Kai Ma, Jian Wu, Zheng-Xin Weng, Yefeng Zheng
Computed tomography (CT) can provide a 3D view of the patient's internal organs, facilitating disease diagnosis, but it incurs more radiation dose to a patient and a CT scanner is much more cost prohibitive than an X-ray machine too.
no code implementations • 15 May 2019 • Rongzhi Gu, Jian Wu, Shi-Xiong Zhang, Lian-Wu Chen, Yong Xu, Meng Yu, Dan Su, Yuexian Zou, Dong Yu
This paper extended the previous approach and proposed a new end-to-end model for multi-channel speech separation.
1 code implementation • 15 Apr 2019 • Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Wenwu Ou
Ranking is a core task in recommender systems, which aims at providing an ordered list of items to users.
5 code implementations • 14 Apr 2019 • Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang
To address this problem, we train the bidirectional model using the Cloze task, predicting the masked items in the sequence by jointly conditioning on their left and right context.
no code implementations • 7 Apr 2019 • Jian Wu, Yong Xu, Shi-Xiong Zhang, Lian-Wu Chen, Meng Yu, Lei Xie, Dong Yu
Audio-visual multi-modal modeling has been demonstrated to be effective in many speech related tasks, such as speech recognition and speech enhancement.
Audio and Speech Processing Sound
no code implementations • 12 Mar 2019 • Jian Wu, Saul Toscano-Palmerin, Peter I. Frazier, Andrew Gordon Wilson
Nonetheless, for hyperparameter tuning in deep neural networks, the time required to evaluate the validation error for even a few hyperparameter settings remains a bottleneck.
2 code implementations • 17 Nov 2018 • Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu
To the best of our knowledge, most state-of-the-art approaches follow an encoder-decoder framework which encodes the code into a hidden space and then decode it into natural language space, suffering from two major drawbacks: a) Their encoders only consider the sequential content of code, ignoring the tree structure which is also critical for the task of code summarization, b) Their decoders are typically trained to predict the next word by maximizing the likelihood of next ground-truth word with previous ground-truth word given.
no code implementations • 12 Nov 2018 • Yao Wan, Wenqiang Yan, Jianwei Gao, Zhou Zhao, Jian Wu, Philip S. Yu
Dialogue Act (DA) classification is a challenging problem in dialogue interpretation, which aims to attach semantic labels to utterances and characterize the speaker's intention.
Ranked #4 on
Dialogue Act Classification
on Switchboard corpus
no code implementations • 15 Mar 2018 • Alexander G. Ororbia, Ankur Mali, Jian Wu, Scott O'Connell, David Miller, C. Lee Giles
For lossy image compression systems, we develop an algorithm, iterative refinement, to improve the decoder's reconstruction compared to standard decoding techniques.
no code implementations • ICLR 2018 • Jian Wu, Peter I. Frazier
While Bayesian optimization (BO) has achieved great success in optimizing expensive-to-evaluate black-box functions, especially tuning hyperparameters of neural networks, methods such as random search (Li et al., 2016) and multi-fidelity BO (e. g. Klein et al. (2017)) that exploit cheap approximations, e. g. training on a smaller training data or with fewer iterations, can outperform standard BO approaches that use only full-fidelity observations.
2 code implementations • 14 Dec 2017 • Jian Wu, Changran Hu, Yulong Wang, Xiaolin Hu, Jun Zhu
In this paper, we present a hierarchical recurrent neural network for melody generation, which consists of three Long-Short-Term-Memory (LSTM) subnetworks working in a coarse-to-fine manner along time.
Sound Multimedia
no code implementations • 20 Jul 2017 • Jian Wu, Peter I. Frazier
This paper studies Bayesian ranking and selection (R&S) problems with correlated prior beliefs and continuous domains, i. e. Bayesian optimization (BO).
1 code implementation • NeurIPS 2017 • Jian Wu, Matthias Poloczek, Andrew Gordon Wilson, Peter I. Frazier
Bayesian optimization has been successful at global optimization of expensive-to-evaluate multimodal objective functions.
2 code implementations • NeurIPS 2016 • Jian Wu, Peter I. Frazier
In many applications of black-box optimization, one can evaluate multiple points simultaneously, e. g. when evaluating the performances of several different neural network architectures in a parallel computing environment.
no code implementations • 12 Apr 2016 • Jinxing Li, David Zhang, Yongcheng Li, Jian Wu
has proved that tongue, face and sublingual diagnosis as a noninvasive method is a reasonable way for disease detection.