no code implementations • ACL 2022 • Xin Wang, Minlong Peng, Mingming Sun, Ping Li
OIE@OIA follows the methodology of Open Information eXpression (OIX): parsing a sentence to an Open Information Annotation (OIA) Graph and then adapting the OIA graph to different OIE tasks with simple rules.
no code implementations • EMNLP 2020 • Mingming Sun, Wenyue Hua, Zoey Liu, Xin Wang, Kangjie Zheng, Ping Li
Based on the same platform of OIX, the OIE strategies are reusable, and people can select a set of strategies to assemble their algorithm for a specific task so that the adaptability may be significantly increased.
no code implementations • 23 May 2022 • Xin Wang, Kai Xuan, Sheng Wang, Honglin Xiong, Lichi Zhang, Qian Wang
In this paper, we propose a single super-resolution network to reduce the inter-slice spacing of MR images at an arbitrarily adjustable ratio.
no code implementations • 16 May 2022 • Zhan Yu, Hongshun Yao, Mujin Li, Xin Wang
Quantum neural networks (QNNs) have emerged as a leading strategy to establish applications in machine learning, chemistry, and optimization.
1 code implementation • 14 May 2022 • Natalia Tomashenko, Brij Mohan Lal Srivastava, Xin Wang, Emmanuel Vincent, Andreas Nautsch, Junichi Yamagishi, Nicholas Evans, Jose Patino, Jean-François Bonastre, Paul-Gauthier Noé, Massimiliano Todisco
The VoicePrivacy Challenge aims to promote the development of privacy preservation tools for speech technology by gathering a new community to define the tasks of interest and the evaluation methodology, and benchmarking solutions through a series of challenges.
no code implementations • 13 May 2022 • Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu
In this work, we develop an online platform called Open-eye to study the human performance of AI-synthesized face detection.
no code implementations • 11 May 2022 • Guangxi Li, Xuanqiang Zhao, Xin Wang
Although some efforts based on syntactic analysis have opened the door to research in Quantum NLP (QNLP), limitations such as heavy syntactic preprocessing and syntax-dependent network architecture make them impracticable on larger and real-world data sets.
no code implementations • 10 May 2022 • Hao-Kai Zhang, Chengkai Zhu, Geng Liu, Xin Wang
Exploring quantum applications of near-term quantum devices is a rapidly growing field of quantum information science with both theoretical and practical interests.
no code implementations • 10 May 2022 • Xin Wang, Azim Khan, Jianwu Wang, Aryya Gangopadhyay, Carl E. Busart, Jade Freeman
In this paper, we study how to best leverage edge and cloud resources to achieve better accuracy and latency for RNN-based stream analytics.
no code implementations • 4 May 2022 • Xin Wang, Yasheng Wang, Yao Wan, Jiawei Wang, Pingyi Zhou, Li Li, Hao Wu, Jin Liu
Specifically, we first extract multiple code views using compiler tools, and learn the complementary information among them under a contrastive learning framework.
no code implementations • 30 Apr 2022 • Zeyu Han, Xiaojun Yuan, Chongbin Xu, Xin Wang
In this letter, we extend the sparse Kronecker-product (SKP) coding scheme, originally designed for the additive white Gaussian noise (AWGN) channel, to multiple input multiple output (MIMO) unsourced random access (URA).
1 code implementation • 23 Apr 2022 • Baifeng Shi, Yale Song, Neel Joshi, Trevor Darrell, Xin Wang
We present VARS, Visual Attention from Recurrent Sparse reconstruction, a new attention formulation built on two prominent features of the human visual attention mechanism: recurrency and sparsity.
no code implementations • 13 Apr 2022 • Shaojin Ding, Weiran Wang, Ding Zhao, Tara N. Sainath, Yanzhang He, Robert David, Rami Botros, Xin Wang, Rina Panigrahy, Qiao Liang, Dongseong Hwang, Ian McGraw, Rohit Prabhavalkar, Trevor Strohman
In this paper, we propose a dynamic cascaded encoder Automatic Speech Recognition (ASR) model, which unifies models for different deployment scenarios.
no code implementations • 11 Apr 2022 • Lin Zhang, Xin Wang, Erica Cooper, Nicholas Evans, Junichi Yamagishi
While existing countermeasures (CMs) can detect fully spoofed utterances, there is a need for their adaptation or extension to the PS scenario to detect utterances in which only a part of the audio signal is generated and hence only a fraction of an utterance is spoofed.
1 code implementation • 7 Apr 2022 • Zeyang Zhang, Ziwei Zhang, Xin Wang, Wenwu Zhu
To solve these challenges, we first propose a principled hardness measurement to quantify the hardness of TSP instances.
no code implementations • 7 Apr 2022 • Lie Ju, Yicheng Wu, Lin Wang, Zhen Yu, Xin Zhao, Xin Wang, Paul Bonnington, ZongYuan Ge
To address this, in this paper, we propose a curriculum learning-based framework called Flexible Sampling for the long-tailed skin lesion classification task.
no code implementations • 28 Mar 2022 • Xin Wang, Junich Yamagishi
This study took the initiative and investigated CM training using active learning (AL), a framework that iteratively selects useful data from a large pool set and fine-tunes the CM.
no code implementations • 24 Mar 2022 • Zhiyuan Zhai, Xinhong Dai, Bin Duo, Xin Wang, Xiaojun Yuan
Unmanned aerial vehicle (UAV) and reconfigurable intelligent surface (RIS) have been recently applied in the field of mobile edge computing (MEC) to improve the data exchange environment by proactively changing the wireless channels through maneuverable location deployment and intelligent signals reflection, respectively.
1 code implementation • 23 Mar 2022 • Natalia Tomashenko, Xin Wang, Xiaoxiao Miao, Hubert Nourtel, Pierre Champion, Massimiliano Todisco, Emmanuel Vincent, Nicholas Evans, Junichi Yamagishi, Jean-François Bonastre
Participants apply their developed anonymization systems, run evaluation scripts and submit objective evaluation results and anonymized speech data to the organizers.
no code implementations • Findings (ACL) 2022 • Xin Wang, Yasheng Wang, Yao Wan, Fei Mi, Yitong Li, Pingyi Zhou, Jin Liu, Hao Wu, Xin Jiang, Qun Liu
Automatically generating compilable programs with (or without) natural language descriptions has always been a touchstone problem for computational linguistics and automated software engineering.
no code implementations • 10 Mar 2022 • Xiaohan Lan, Yitian Yuan, Xin Wang, Long Chen, Zhi Wang, Lin Ma, Wenwu Zhu
New benchmarking results indicate that our proposed evaluation protocols can better monitor the research progress.
1 code implementation • 8 Mar 2022 • Xuefeng Du, Xin Wang, Gabriel Gozum, Yixuan Li
Building reliable object detectors that can detect out-of-distribution (OOD) objects is critical yet underexplored.
no code implementations • 1 Mar 2022 • Zhan Yu, Xuanqiang Zhao, Benchi Zhao, Xin Wang
In this work, we solve the problem on the minimum size of sufficient quantum datasets for learning a unitary transformation exactly, which reveals the power and limitation of quantum data.
no code implementations • 27 Feb 2022 • Chen Gong, Kong Bin, Eric J. Seibel, Xin Wang, Youbing Yin, Qi Song
Taking the expertise of DNNs to learn meaningful patterns before fitting noise, our framework first trains two networks over the current dataset with small loss selection.
no code implementations • 24 Feb 2022 • Hemlata Tak, Massimiliano Todisco, Xin Wang, Jee-weon Jung, Junichi Yamagishi, Nicholas Evans
The performance of spoofing countermeasure systems depends fundamentally upon the use of sufficiently representative training data.
no code implementations • 16 Feb 2022 • Xin Wang, Julian Berberich, Jian Sun, Gang Wang, Frank Allgöwer, Jie Chen
To this end, we begin by presenting a dynamic event-triggering scheme (ETS) based on periodic sampling, and a discrete-time looped-functional (DLF) approach, through which a model-based stability condition is derived.
no code implementations • 16 Feb 2022 • Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu
In this paper, we comprehensively survey OOD generalization on graphs and present a detailed review of recent advances in this area.
no code implementations • 15 Feb 2022 • Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, Siwei Lyu
Generative Adversarial Networks (GAN) have led to the generation of very realistic face images, which have been used in fake social media accounts and other disinformation matters that can generate profound impacts.
no code implementations • 27 Jan 2022 • Yihe Wang, Yitong Li, Yasheng Wang, Fei Mi, Pingyi Zhou, Xin Wang, Jin Liu, Qun Liu, Xin Jiang
Different from current approaches, using external knowledge, we explore a retrieval-generation training framework that can increase the usage of training data by directly considering the heterogeneous and noisy training data as the "evidence".
no code implementations • 23 Jan 2022 • Xin Wang, Serdar Kadioglu
We introduce a pattern mining framework that operates on semi-structured datasets and exploits the dichotomy between outcomes.
1 code implementation • 12 Jan 2022 • Ching-Yao Chuang, R Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song
Contrastive learning relies on an assumption that positive pairs contain related views, e. g., patches of an image or co-occurring multimodal signals of a video, that share certain underlying information about an instance.
no code implementations • 12 Jan 2022 • Feng Zhu, Jingjing Zhang, Osvaldo Simeone, Xin Wang
Wall-clock convergence time and communication load are key performance metrics for the distributed implementation of stochastic gradient descent (SGD) in parameter server settings.
1 code implementation • 10 Jan 2022 • Xin Wang, Junichi Yamagishi
Presentation attack detection (PAD) for ASV, or speech anti-spoofing, is therefore indispensable.
1 code implementation • 4 Jan 2022 • Xin Wang, Ziwei Zhang, Wenwu Zhu
Graph machine learning has been extensively studied in both academic and industry.
no code implementations • 4 Jan 2022 • Wenwu Zhu, Xin Wang, Pengtao Xie
Inspired by the concept of self-directed human learning, we introduce the principal concept of Self-directed Machine Learning (SDML) and propose a framework for SDML.
no code implementations • 3 Jan 2022 • Mingfu Xue, Xin Wang, Shichang Sun, Yushu Zhang, Jian Wang, Weiqiang Liu
After training, the backdoor attack against DNN is robust to image compression.
no code implementations • 23 Dec 2021 • Ziwei Zhang, Xin Wang, Zeyang Zhang, Peng Cui, Wenwu Zhu
Based on the experimental results, we advocate that TinvNN should be considered a new starting point and an essential baseline for further studies of transformation-invariant geometric deep learning.
no code implementations • 21 Dec 2021 • Xin Wang, Hong Shen
Coflow is a recently proposed networking abstraction to help improve the communication performance of data-parallel computing jobs.
no code implementations • 20 Dec 2021 • Xuanjie Li, Yuedong Xu, Jessie Hui Wang, Xin Wang, John C. S. Lui
By transforming our decentralized algorithm into a centralized inexact proximal gradient algorithm with variance reduction, and controlling the bounds of error sequences, we prove that DPSVRG converges at the rate of $O(1/T)$ for general convex objectives plus a non-smooth term with $T$ as the number of iterations, while DSPG converges at the rate $O(\frac{1}{\sqrt{T}})$.
1 code implementation • 17 Dec 2021 • Xin Wang, Pei Guo, Xingyan Li, Jianwu Wang, Aryya Gangopadhyay, Carl E. Busart, Jade Freeman
We propose and develop an open-source toolkit that supports 1) fully automated end-to-end execution and reproduction via a single command, 2) automatic data and configuration storage for each execution, 3) flexible client modes based on user preferences, 4) execution history query, and 5) simple reproduction of existing executions in the same environment or a different environment.
1 code implementation • 14 Dec 2021 • Ziwei Luo, Jing Hu, Xin Wang, Shu Hu, Bin Kong, Youbing Yin, Qi Song, Xi Wu, Siwei Lyu
We evaluate our method on several 2D and 3D medical image datasets, some of which contain large deformations.
no code implementations • 14 Dec 2021 • Ziwei Luo, Jing Hu, Xin Wang, Siwei Lyu, Bin Kong, Youbing Yin, Qi Song, Xi Wu
Training a model-free deep reinforcement learning model to solve image-to-image translation is difficult since it involves high-dimensional continuous state and action spaces.
no code implementations • 9 Dec 2021 • Fei Wang, Xilei Wu, Xin Wang, Jianlei Chi, Jingang Shi, Dong Huang
We propose UWash, an intelligent solution upon smartwatches, to assess handwashing for the purpose of raising users' awareness and cultivating habits in high-quality handwashing.
no code implementations • 9 Dec 2021 • Ju Kang, Shijie Zhang, Xin Wang
Explaining biodiversity is a fundamental issue in ecology.
no code implementations • 7 Dec 2021 • Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu
Our proposed OOD-GNN employs a novel nonlinear graph representation decorrelation method utilizing random Fourier features, which encourages the model to eliminate the statistical dependence between relevant and irrelevant graph representations through iteratively optimizing the sample graph weights and graph encoder.
1 code implementation • NeurIPS 2021 • Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang
This paper provides a unified view to explain different adversarial attacks and defense methods, i. e. the view of multi-order interactions between input variables of DNNs.
1 code implementation • NeurIPS 2021 • Hong Chen, Yudong Chen, Xin Wang, Ruobing Xie, Rui Wang, Feng Xia, Wenwu Zhu
However, learning such disentangled representations from multi-feedback data is challenging because i) multi-feedback is complex: there exist complex relations among different types of feedback (e. g., click, unclick, and dislike, etc) as well as various user intentions, and ii) multi-feedback is noisy: there exists noisy (useless) information both in features and labels, which may deteriorate the recommendation performance.
1 code implementation • NeurIPS 2021 • Heng Chang, Yu Rong, Tingyang Xu, Yatao Bian, Shiji Zhou, Xin Wang, Junzhou Huang, Wenwu Zhu
Graph Convolutional Networks (GCNs) are promising deep learning approaches in learning representations for graph-structured data.
no code implementations • NeurIPS 2021 • Haoyang Li, Xin Wang, Ziwei Zhang, Zehuan Yuan, Hang Li, Wenwu Zhu
Then we propose a novel factor-wise discrimination objective in a contrastive learning manner, which can force the factorized representations to independently reflect the expressive information from different latent factors.
no code implementations • NeurIPS 2021 • Yijian Qin, Xin Wang, Zeyang Zhang, Wenwu Zhu
Extensive experiments on real-world graph datasets demonstrate that our proposed GASSO model is able to achieve state-of-the-art performance compared with existing baselines.
no code implementations • 23 Nov 2021 • Shaobo Guo, Xiao Jiang, Zhizhong Su, Rui Wu, Xin Wang
As a critical cue for understanding human intention, human gaze provides a key signal for Human-Computer Interaction(HCI) applications.
no code implementations • 22 Nov 2021 • Bernard Kleynhans, Xin Wang, Serdar Kadıoğlu
Designing recommendation systems with limited or no available training data remains a challenge.
no code implementations • 17 Nov 2021 • Lie Ju, Xin Wang, Zhen Yu, Lin Wang, Xin Zhao, ZongYuan Ge
In the real world, medical datasets often exhibit a long-tailed data distribution (i. e., a few classes occupy most of the data, while most classes have rarely few samples), which results in a challenging imbalance learning scenario.
2 code implementations • 15 Nov 2021 • Xin Wang, Junichi Yamagishi
Self-supervised speech model is a rapid progressing research topic, and many pre-trained models have been released and used in various down stream tasks.
1 code implementation • 5 Nov 2021 • Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang
This paper provides a unified view to explain different adversarial attacks and defense methods, \emph{i. e.} the view of multi-order interactions between input variables of DNNs.
no code implementations • 28 Oct 2021 • Haotian Xue, Kaixiong Zhou, Tianlong Chen, Kai Guo, Xia Hu, Yi Chang, Xin Wang
In this paper, we investigate GNNs from the lens of weight and feature loss landscapes, i. e., the loss changes with respect to model weights and node features, respectively.
no code implementations • 25 Oct 2021 • Xin Wang, Jian Sun, Julian Berberich, Gang Wang, Frank Allgöwer, Jie Chen
Data-based representations for time-invariant linear systems with known or unknown system input matrices are first developed, along with a novel class of dynamic triggering schemes for sampled-data systems with time delays.
no code implementations • 21 Oct 2021 • ZongYuan Ge, Xin Wang
The current generation of deep neural networks has achieved close-to-human results on "closed-set" image recognition; that is, the classes being evaluated overlap with the training classes.
1 code implementation • 15 Oct 2021 • Xin Wang
The quantum circuits are comprised with single-qubit rotation gates implementing on each qubit.
1 code implementation • 10 Oct 2021 • Xin Wang, Junichi Yamagishi
On the ASVspoof2019 logical access database, the results demonstrate that an energy-based estimator and a neural-network-based one achieved acceptable performance in identifying unknown attacks in the test set.
no code implementations • 29 Sep 2021 • Rina Panigrahy, Brendan Juba, Zihao Deng, Xin Wang, Zee Fryer
We propose a modular architecture for lifelong learning of hierarchically structured tasks.
no code implementations • 29 Sep 2021 • Xuguang Duan, Xin Wang, Ziwei Zhang, Wenwu Zhu
Program induction serves as one way to analog the ability of human thinking.
no code implementations • 29 Sep 2021 • Xu Cheng, Xin Wang, Haotian Xue, Zhengyang Liang, Xin Jin, Quanshi Zhang
This paper proposes a hypothesis to analyze the underlying reason for the cognitive difficulty of an image from two perspectives, i. e. a cognitive image usually makes a DNN strongly activated by cognitive concepts; discarding massive non-cognitive concepts may also help the DNN focus on cognitive concepts.
no code implementations • 23 Sep 2021 • Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang
Graph neural networks (GNNs) have received tremendous attention due to their superiority in learning node representations.
1 code implementation • 22 Sep 2021 • Yuxiang Wu, Shang Wu, Xin Wang, Chengtian Lang, Quanshi Zhang, Quan Wen, Tianqi Xu
Second, 2-dimensional neuronal regions are fused into 3-dimensional neuron entities.
no code implementations • 16 Sep 2021 • Xiaohan Lan, Yitian Yuan, Xin Wang, Zhi Wang, Wenwu Zhu
In this survey, we give a comprehensive overview for TSGV, which i) summarizes the taxonomy of existing methods, ii) provides a detailed description of the evaluation protocols(i. e., datasets and metrics) to be used in TSGV, and iii) in-depth discusses potential problems of current benchmarking designs and research directions for further investigations.
no code implementations • 5 Sep 2021 • Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu
However, images from existing public datasets do not represent real-world scenarios well enough in terms of view variations and data distributions (where real faces largely outnumber synthetic faces).
no code implementations • 5 Sep 2021 • Yusen Wu, Hao Chen, Xin Wang, Chao Liu, Phuong Nguyen, Yelena Yesha
In addition, Byzantine faults including software, hardware, network issues occur in distributed systems which also lead to a negative impact on the prediction outcome.
1 code implementation • 1 Sep 2021 • Natalia Tomashenko, Xin Wang, Emmanuel Vincent, Jose Patino, Brij Mohan Lal Srivastava, Paul-Gauthier Noé, Andreas Nautsch, Nicholas Evans, Junichi Yamagishi, Benjamin O'Brien, Anaïs Chanclu, Jean-François Bonastre, Massimiliano Todisco, Mohamed Maouche
We provide a systematic overview of the challenge design with an analysis of submitted systems and evaluation results.
no code implementations • 1 Sep 2021 • Héctor Delgado, Nicholas Evans, Tomi Kinnunen, Kong Aik Lee, Xuechen Liu, Andreas Nautsch, Jose Patino, Md Sahidullah, Massimiliano Todisco, Xin Wang, Junichi Yamagishi
The automatic speaker verification spoofing and countermeasures (ASVspoof) challenge series is a community-led initiative which aims to promote the consideration of spoofing and the development of countermeasures.
no code implementations • 1 Sep 2021 • Junichi Yamagishi, Xin Wang, Massimiliano Todisco, Md Sahidullah, Jose Patino, Andreas Nautsch, Xuechen Liu, Kong Aik Lee, Tomi Kinnunen, Nicholas Evans, Héctor Delgado
In addition to a continued focus upon logical and physical access tasks in which there are a number of advances compared to previous editions, ASVspoof 2021 introduces a new task involving deepfake speech detection.
no code implementations • 1 Sep 2021 • Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu
Generative adversary network (GAN) generated high-realistic human faces have been used as profile images for fake social media accounts and are visually challenging to discern from real ones.
1 code implementation • ICCV 2021 • Jianren Wang, Xin Wang, Yue Shang-Guan, Abhinav Gupta
To bridge the gap, we present a new online continual object detection benchmark with an egocentric video dataset, Objects Around Krishna (OAK).
no code implementations • ICCV 2021 • Xin Wang, Shuyun Lin, Hao Zhang, Yufei Zhu, Quanshi Zhang
This paper aims to explain adversarial attacks in terms of how adversarial perturbations contribute to the attacking task.
no code implementations • KDD 2021 • Yudong Chen, Xin Wang, Miao Fan, Jizhou Huang, Shengwen Yang, and Wenwu Zhu.
Next point-of-interest (POI) recommendation is a hot research field where a recent emerging scenario, next POI to search recommendation, has been deployed in many online map services such as Baidu Maps.
1 code implementation • ICCV 2021 • Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu
The holistic knowledge is represented as a unified graph-based embedding by aggregating individual knowledge from relational neighborhood samples with graph neural networks, the student network is learned by distilling the holistic knowledge in a contrastive manner.
no code implementations • 10 Aug 2021 • Xin Wang, Yasheng Wang, Fei Mi, Pingyi Zhou, Yao Wan, Xiao Liu, Li Li, Hao Wu, Jin Liu, Xin Jiang
Code representation learning, which aims to encode the semantics of source code into distributed vectors, plays an important role in recent deep-learning-based models for code intelligence.
no code implementations • 4 Aug 2021 • Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Wang, Xin Zhao, Qingyi Tao, ZongYuan Ge
In this work, we explore unsupervised domain adaptation in retinal vessel segmentation by using entropy-based adversarial learning and transfer normalization layer to train a segmentation network, which generalizes well across domains and requires no annotation of the target domain.
no code implementations • 2 Aug 2021 • Tianlong Kong, Shouyi Yin, Dawei Zhang, Wang Geng, Xin Wang, Dandan song, Jinwen Huang, Huiyu Shi, Xiaorui Wang
To address this issue, we propose a new architecture, named dynamic multi-scale convolution, which consists of dynamic kernel convolution, local multi-scale learning, and global multi-scale pooling.
no code implementations • 31 Jul 2021 • Xu Cheng, Xin Wang, Haotian Xue, Zhengyang Liang, Quanshi Zhang
This paper proposes a hypothesis for the aesthetic appreciation that aesthetic images make a neural network strengthen salient concepts and discard inessential concepts.
1 code implementation • 31 Jul 2021 • Shu Hu, Lipeng Ke, Xin Wang, Siwei Lyu
Top-$k$ multi-label learning, which returns the top-$k$ predicted labels from an input, has many practical applications such as image annotation, document analysis, and web search engine.
1 code implementation • ICCV 2021 • Zeyu Hu, Xuyang Bai, Jiaxiang Shang, Runze Zhang, Jiayu Dong, Xin Wang, Guangyuan Sun, Hongbo Fu, Chiew-Lan Tai
Experimental results validate the effectiveness of VMNet: specifically, on the challenging ScanNet dataset for large-scale segmentation of indoor scenes, it outperforms the state-of-the-art SparseConvNet and MinkowskiNet (74. 6% vs 72. 5% and 73. 6% in mIoU) with a simpler network structure (17M vs 30M and 38M parameters).
no code implementations • 29 Jul 2021 • Xuewen Yang, Yingru Liu, Xin Wang
To improve the quality of image captioning, we propose a novel architecture ReFormer -- a RElational transFORMER to generate features with relation information embedded and to explicitly express the pair-wise relationships between objects in the image.
no code implementations • 27 Jun 2021 • Haoming Ma, Xiaojun Yuan, Dian Fan, Zhi Ding, Xin Wang, Jun Fang
In this letter, we introduce over-the-air computation into the communication design of federated multi-task learning (FMTL), and propose an over-the-air federated multi-task learning (OA-FMTL) framework, where multiple learning tasks deployed on edge devices share a non-orthogonal fading channel under the coordination of an edge server (ES).
no code implementations • 21 Jun 2021 • Mingliang Xiong, Qingwen Liu, Xin Wang, Shengli Zhou, Bin Zhou, Zhiyong Bu
In this paper, we propose an intra-cavity SHG RBCom system to simplify the system design and improve the energy conversion efficiency.
1 code implementation • 18 Jun 2021 • Lin Wang, Lie Ju, Xin Wang, Wanji He, Donghao Zhang, Yelin Huang, Zhiwen Yang, Xuan Yao, Xin Zhao, Xiufen Ye, ZongYuan Ge
None of them investigate the influence of the ambiguous nature of the lesion itself. Inspired by image matting, this paper introduces alpha matte as a soft mask to represent uncertain areas in medical scenes and accordingly puts forward a new uncertainty quantification method to fill the gap of uncertainty research for lesion structure.
1 code implementation • 11 Jun 2021 • Tomi Kinnunen, Andreas Nautsch, Md Sahidullah, Nicholas Evans, Xin Wang, Massimiliano Todisco, Héctor Delgado, Junichi Yamagishi, Kong Aik Lee
Whether it be for results summarization, or the analysis of classifier fusion, some means to compare different classifiers can often provide illuminating insight into their behaviour, (dis)similarity or complementarity.
1 code implementation • 8 Jun 2021 • Amir Bar, Xin Wang, Vadim Kantorov, Colorado J Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
Recent self-supervised pretraining methods for object detection largely focus on pretraining the backbone of the object detector, neglecting key parts of detection architecture.
Ranked #1 on
Few-Shot Object Detection
on COCO 2017
1 code implementation • 7 Jun 2021 • Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu
A combination loss of AoRR and TKML is proposed as a new learning objective for improving the robustness of multi-label learning in the face of outliers in sample and labels alike.
no code implementations • 4 Jun 2021 • Jiayi Wei, Xilian Li, Yi Zhang, Xin Wang
Offline experiments and mechanical Turk based evaluations show that it is possible to rewrite bland questions in a more detailed and attractive way to increase the response rate, and images can be helpful.
no code implementations • 3 Jun 2021 • Quanyu Liao, Xin Wang, Bin Kong, Siwei Lyu, Bin Zhu, Youbing Yin, Qi Song, Xi Wu
Deep neural networks have been demonstrated to be vulnerable to adversarial attacks: subtle perturbation can completely change prediction result.
no code implementations • 3 Jun 2021 • Quanyu Liao, Yuezun Li, Xin Wang, Bin Kong, Bin Zhu, Siwei Lyu, Youbing Yin, Qi Song, Xi Wu
Fooling people with highly realistic fake images generated with Deepfake or GANs brings a great social disturbance to our society.
1 code implementation • Findings (ACL) 2021 • Canasai Kruengkrai, Junichi Yamagishi, Xin Wang
Evidence-based fact checking aims to verify the truthfulness of a claim against evidence extracted from textual sources.
no code implementations • 26 May 2021 • Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang
We investigate the theoretical connections between graph signal processing and graph embedding models and formulate the graph embedding model as a general graph signal process with a corresponding graph filter.
no code implementations • 22 Apr 2021 • Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, ZongYuan Ge
For example, there are estimated more than 40 different kinds of retinal diseases with variable morbidity, however with more than 30+ conditions are very rare from the global patient cohorts, which results in a typical long-tailed learning problem for deep learning-based screening models.
1 code implementation • ICCV 2021 • Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell
Building reliable object detectors that are robust to domain shifts, such as various changes in context, viewpoint, and object appearances, is critical for real-world applications.
1 code implementation • ICLR Workshop GTRL 2021 • Chaoyu Guan, Ziwei Zhang, Haoyang Li, Heng Chang, Zeyang Zhang, Yijian Qin, Jiyan Jiang, Xin Wang, Wenwu Zhu
To fill this gap, we present Automated Graph Learning (AutoGL), the first library for automated machine learning on graphs.
1 code implementation • 6 Apr 2021 • Xin Wang, Yang Zhao, Tangwen Yang, Qiuqi Ruan
In this paper, we propose a multi-scale context aggregation network (MSCANet) based on single-column encoder-decoder architecture for crowd counting, which consists of an encoder based on a dense context-aware module (DCAM) and a hierarchical attention-guided decoder.
no code implementations • 6 Apr 2021 • Lin Zhang, Xin Wang, Erica Cooper, Junichi Yamagishi, Jose Patino, Nicholas Evans
By definition, partially-spoofed utterances contain a mix of both spoofed and bona fide segments, which will likely degrade the performance of countermeasures trained with entirely spoofed utterances.
2 code implementations • 4 Apr 2021 • Chang Zeng, Xin Wang, Erica Cooper, Xiaoxiao Miao, Junichi Yamagishi
Probabilistic linear discriminant analysis (PLDA) or cosine similarity have been widely used in traditional speaker verification systems as back-end techniques to measure pairwise similarities.
Ranked #1 on
Speaker Verification
on CN-CELEB
no code implementations • CVPR 2021 • Zike Yan, Xin Wang, Hongbin Zha
Constructing and maintaining a consistent scene model on-the-fly is the core task for online spatial perception, interpretation, and action.
no code implementations • ICLR 2021 • Atish Agarwala, Abhimanyu Das, Brendan Juba, Rina Panigrahy, Vatsal Sharan, Xin Wang, Qiuyi Zhang
Can deep learning solve multiple tasks simultaneously, even when they are unrelated and very different?
1 code implementation • 21 Mar 2021 • Xin Wang, Junich Yamagishi
A great deal of recent research effort on speech spoofing countermeasures has been invested into back-end neural networks and training criteria.
1 code implementation • 12 Mar 2021 • Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang
This paper provides a unified view to explain different adversarial attacks and defense methods, i. e. the view of multi-order interactions between input variables of DNNs.
no code implementations • 1 Mar 2021 • Youle Wang, Guangxi Li, Xin Wang
Hamiltonian learning is crucial to the certification of quantum devices and quantum simulators.
1 code implementation • 1 Mar 2021 • Ziwei Zhang, Xin Wang, Wenwu Zhu
Machine learning on graphs has been extensively studied in both academic and industry.
no code implementations • 1 Mar 2021 • Ran Yi, Yang Zhou, Xin Wang, Zhiyuan Liu, Xiaotian Li, Bin Ran
This paper presents an infrastructure assisted constrained connected automated vehicles (CAVs) trajectory optimization method on curved roads.
no code implementations • 28 Feb 2021 • Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Mehrtash Harandi, Tom Drummond, Tongliang Liu, ZongYuan Ge
In this paper, we systematically discuss and define the two common types of label noise in medical images - disagreement label noise from inconsistency expert opinions and single-target label noise from wrong diagnosis record.
1 code implementation • 22 Feb 2021 • Yudong Chen, Chaoyu Guan, Zhikun Wei, Xin Wang, Wenwu Zhu
Meta-learning aims at learning quickly on novel tasks with limited data by transferring generic experience learned from previous tasks.
no code implementations • 11 Feb 2021 • Andreas Nautsch, Xin Wang, Nicholas Evans, Tomi Kinnunen, Ville Vestman, Massimiliano Todisco, Héctor Delgado, Md Sahidullah, Junichi Yamagishi, Kong Aik Lee
The ASVspoof initiative was conceived to spearhead research in anti-spoofing for automatic speaker verification (ASV).
no code implementations • 8 Feb 2021 • Xin Wang, Shun Zhou
In a class of neutrino mass models with modular flavor symmetries, it has been observed that CP symmetry is preserved at the fixed point (or stabilizer) of the modulus parameter $\tau = {\rm i}$, whereas significant CP violation emerges within the neighbourhood of this stabilizer.
High Energy Physics - Phenomenology
2 code implementations • 28 Jan 2021 • Xuanqiang Zhao, Benchi Zhao, Zihe Wang, Zhixin Song, Xin Wang
Here we introduce LOCCNet, a machine learning framework facilitating protocol design and optimization for distributed quantum information processing tasks.
no code implementations • 22 Jan 2021 • Yitian Yuan, Xiaohan Lan, Xin Wang, Long Chen, Zhi Wang, Wenwu Zhu
All the results demonstrate that the re-organized dataset splits and new metric can better monitor the progress in TSGV.
no code implementations • 18 Jan 2021 • Xin Wang, Juan Liu, Feng Gao, Zhizhen Zhang
The fault surface morphology is the direct result of the microscopic processes near the crack tip or on the frictional interface.
Geophysics
1 code implementation • 14 Jan 2021 • Jinkun Cao, Xin Wang, Trevor Darrell, Fisher Yu
To decide the action at each step, we seek the action sequence that can lead to safe future states based on the prediction module outputs by repeatedly sampling likely action sequences.
1 code implementation • 7 Jan 2021 • Aite Zhao, Jianbo Li, Junyu Dong, Lin Qi, Qianni Zhang, Ning li, Xin Wang, Huiyu Zhou
In recent years, single modality based gait recognition has been extensively explored in the analysis of medical images or other sensory data, and it is recognised that each of the established approaches has different strengths and weaknesses.
no code implementations • 3 Jan 2021 • Xin Wang, Su Gao, Monan Wang, Zhenghua Duan
When only the main contour of the 3D model needs to be organized, the algorithm performs well.
3D Reconstruction
Graphics
no code implementations • 1 Jan 2021 • Zilin Yu, Chao Wang, Xin Wang, Yong Zhao, Xundong Wu
This work studies intragroup sparsity, a fine-grained structural constraint on network weight parameters.
1 code implementation • ICCV 2021 • Shu Hu, Lipeng Ke, Xin Wang, Siwei Lyu
Top-k multi-label learning, which returns the top-k predicted labels from an input, has many practical applications such as image annotation, document analysis, and web search engine.
no code implementations • ICLR 2021 • Xin Wang, Jie Ren, Shuyun Lin, Xiangming Zhu, Yisen Wang, Quanshi Zhang
We discover and prove the negative correlation between the adversarial transferability and the interaction inside adversarial perturbations.
1 code implementation • 28 Dec 2020 • Kun Wang, Zhixin Song, Xuanqiang Zhao, Zihe Wang, Xin Wang
Firstly, it decomposes a positive map into a combination of quantum operations implementable on near-term quantum devices.
Quantum Physics Strongly Correlated Electrons
no code implementations • 24 Dec 2020 • Han Xu, Lingna Wang, Haidong Yuan, Xin Wang
Here we study the generalizability of optimal control, namely, optimal controls that can be systematically updated across a range of parameters with minimal cost.
Quantum Physics
no code implementations • 22 Dec 2020 • Shuyan Hu, Wei Ni, Xin Wang, Abbas Jamalipour, Dean Ta
Autonomous tracking of suspicious unmanned aerial vehicles (UAVs) by legitimate monitoring UAVs (or monitors) can be crucial to public safety and security.
1 code implementation • 15 Dec 2020 • Guangxi Li, Zhixin Song, Xin Wang
Classification of quantum data is essential for quantum machine learning and near-term quantum technologies.
1 code implementation • 15 Dec 2020 • Chenfeng Cao, Xin Wang
Based on this understanding, we present a noise-assisted quantum autoencoder algorithm to go beyond the limitations, our model can achieve high recovering fidelity for general input states.
Quantum Physics
1 code implementation • 10 Dec 2020 • Ranyiliu Chen, Zhixin Song, Xuanqiang Zhao, Xin Wang
A novel variational algorithm for trace distance estimation is then derived from this technique, with the assistance of a single ancillary qubit.
Quantum Physics Information Theory Mathematical Physics Information Theory Mathematical Physics Optimization and Control
no code implementations • 3 Dec 2020 • Haotian Shi, Yang Zhou, Keshu Wu, Xin Wang, Yangxin Lin, Bin Ran
This paper proposes a cooperative strategy of connected and automated vehicles (CAVs) longitudinal control for partially connected and automated traffic environment based on deep reinforcement learning (DRL) algorithm, which enhances the string stability of mixed traffic, car following efficiency, and energy efficiency.
no code implementations • COLING 2020 • Tao Liu, Xin Wang, Chengguo Lv, Ranran Zhen, Guohong Fu
Sentence matching aims to identify the special relationship between two sentences, and plays a key role in many natural language processing tasks.
no code implementations • 27 Nov 2020 • Lie Ju, Xin Wang, Xin Zhao, Paul Bonnington, Tom Drummond, ZongYuan Ge
We propose the use of a modified cycle generative adversarial network (CycleGAN) model to bridge the gap between regular and UWF fundus and generate additional UWF fundus images for training.
1 code implementation • 25 Nov 2020 • Anzhu Yu, Wenyue Guo, Bing Liu, Xin Chen, Xin Wang, Xuefeng Cao, Bingchuan Jiang
This strategy estimates the depth map at coarsest level, while the depth maps at finer levels are considered as the upsampled depth map from previous level with pixel-wise depth residual.
no code implementations • 10 Nov 2020 • Erica Cooper, Xin Wang, Yi Zhao, Yusuke Yasuda, Junichi Yamagishi
We explore pretraining strategies including choice of base corpus with the aim of choosing the best strategy for zero-shot multi-speaker end-to-end synthesis.
no code implementations • 27 Oct 2020 • Quanyu Liao, Xin Wang, Bin Kong, Siwei Lyu, Youbing Yin, Qi Song, Xi Wu
The deep neural network is vulnerable to adversarial examples.
no code implementations • 25 Oct 2020 • Xin Wang, Yudong Chen, Wenwu Zhu
We discuss works on curriculum learning within a general CL framework, elaborating on how to design a manually predefined curriculum or an automatic curriculum.
no code implementations • 19 Oct 2020 • Yusuke Yasuda, Xin Wang, Junichi Yamagishi
Explicit duration modeling is a key to achieving robust and efficient alignment in text-to-speech synthesis (TTS).
1 code implementation • 19 Oct 2020 • Long Chen, Feixiang Zhou, Shengke Wang, Junyu Dong, Ning li, Haiping Ma, Xin Wang, Huiyu Zhou
Moreover, inspired by the human education process that drives the learning from easy to hard concepts, we here propose the CMA training paradigm that first trains a clean detector which is free from the influence of noisy data.
no code implementations • 15 Oct 2020 • Chi Chen, Xin Peng, Zhenchang Xing, Jun Sun, Xin Wang, Yifan Zhao, Wenyun Zhao
APIRec-CST is a deep learning model that combines the API usage with the text information in the source code based on an API Context Graph Network and a Code Token Network that simultaneously learn structural and textual features for API recommendation.
1 code implementation • 8 Oct 2020 • Xin Wang, Jie Ren, Shuyun Lin, Xiangming Zhu, Yisen Wang, Quanshi Zhang
We discover and prove the negative correlation between the adversarial transferability and the interaction inside adversarial perturbations.
1 code implementation • NeurIPS 2020 • Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu
In forming learning objectives, one oftentimes needs to aggregate a set of individual values to a single output.
1 code implementation • 30 Aug 2020 • Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Brij B. Gupta, Xiaojiang Chen, Xin Wang
Therefore, deep active learning (DAL) has emerged.
no code implementations • 27 Aug 2020 • Xuewen Yang, Dongliang Xie, Xin Wang
In this work, we propose a general framework for unsupervised image-to-image translation across multiple domains, which can translate images from domain X to any a domain without requiring direct training between the two domains involved in image translation.
1 code implementation • 23 Aug 2020 • Jianxin Ma, Chang Zhou, Hongxia Yang, Peng Cui, Xin Wang, Wenwu Zhu
There exist two challenges: i) reconstructing a future sequence containing many behaviors is exponentially harder than reconstructing a single next behavior, which can lead to difficulty in convergence, and ii) the sequence of all future behaviors can involve many intentions, not all of which may be predictable from the sequence of earlier behaviors.
1 code implementation • 22 Aug 2020 • Geeticka Chauhan, Ruizhi Liao, William Wells, Jacob Andreas, Xin Wang, Seth Berkowitz, Steven Horng, Peter Szolovits, Polina Golland
To take advantage of the rich information present in the radiology reports, we develop a neural network model that is trained on both images and free-text to assess pulmonary edema severity from chest radiographs at inference time.
no code implementations • 18 Aug 2020 • Xuewen Yang, Dongliang Xie, Xin Wang, Jiangbo Yuan, Wanying Ding, Pengyun Yan
Our contributions include: 1) Designing a Mixed Category Attention Net (MCAN) which integrates both fine-grained and coarse category information into recommendation and learns the compatibility among fashion tuples.
1 code implementation • 13 Aug 2020 • Steven Horng, Ruizhi Liao, Xin Wang, Sandeep Dalal, Polina Golland, Seth J. Berkowitz
Results: The area under the receiver operating characteristic curve (AUC) for differentiating alveolar edema from no edema was 0. 99 for the semi-supervised model and 0. 87 for the pre-trained models.
no code implementations • 10 Aug 2020 • Ye-Hong Chen, Wei Qin, Xin Wang, Adam Miranowicz, Franco Nori
We propose a method for the fast generation of nonclassical ground states of the Rabi model in the ultrastrong and deep-strong coupling regimes via the shortcuts-to-adiabatic (STA) dynamics.
Quantum Physics
1 code implementation • ECCV 2020 • Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang
The goal of this work is to develop a novel learning framework for accurate and expressive fashion captioning.
no code implementations • 29 Jul 2020 • Zongqian Zhan, Wenjie Jian, Yi-Hui Li, Xin Wang, Yang Yue
To solve the missing map problem, which is an issue in many applications , after the tracking is lost, based on monocular visual SLAM, we present a method of reconstructing a complete global map of UAV datasets by sequentially merging the submaps via the corresponding undirected connected graph.
1 code implementation • 16 Jul 2020 • Lingwei Wei, Dou Hu, Wei Zhou, Xuehai Tang, Xiaodan Zhang, Xin Wang, Jizhong Han, Songlin Hu
Furthermore, we design a Sentiment-based Rethinking mechanism (SR) by refining the HIN with sentiment label information to learn a more sentiment-aware document representation.
no code implementations • 12 Jul 2020 • Tomi Kinnunen, Héctor Delgado, Nicholas Evans, Kong Aik Lee, Ville Vestman, Andreas Nautsch, Massimiliano Todisco, Xin Wang, Md Sahidullah, Junichi Yamagishi, Douglas A. Reynolds
Recent years have seen growing efforts to develop spoofing countermeasures (CMs) to protect automatic speaker verification (ASV) systems from being deceived by manipulated or artificial inputs.
no code implementations • 7 Jul 2020 • Xin Wang
In this essay, we explore a point of intersection between deep learning and neuroscience, through the lens of large language models, transfer learning and network compression.
no code implementations • 19 Jun 2020 • Xiaojing Chen, Zhouyu Lu, Wei Ni, Xin Wang, Feng Wang, Shunqing Zhang, Shugong Xu
Driven by explosive computation demands of Internet of Things (IoT), mobile edge computing (MEC) provides a promising technique to enhance the computation capability for mobile users.
no code implementations • 11 Jun 2020 • Yingru Liu, Yucheng Xing, Xuewen Yang, Xin Wang, Jing Shi, Di Jin, Zhaoyue Chen
Learning continuous-time stochastic dynamics is a fundamental and essential problem in modeling sporadic time series, whose observations are irregular and sparse in both time and dimension.
no code implementations • 8 Jun 2020 • Ziwei Zhang, Peng Cui, Jian Pei, Xin Wang, Wenwu Zhu
Graph Neural Networks (GNNs) are emerging machine learning models on graphs.
1 code implementation • 4 Jun 2020 • Jie Gu, Babak Haghighat, Albrecht Klemm, Kaiwen Sun, Xin Wang
Given the recent geometrical classification of 6d $(1, 0)$ SCFTs, a major question is how to compute for this large class their elliptic genera.
High Energy Physics - Theory Mathematical Physics Mathematical Physics
1 code implementation • 3 Jun 2020 • Xin Wang, Zhixin Song, Youle Wang
In this work, we propose a variational quantum algorithm for singular value decomposition (VQSVD).
no code implementations • 1 Jun 2020 • Yifang Chen, Xin Wang
This regret bound depends only on the maximum rank $M$ of measurements rather than the number of qubits, which takes advantage of low-rank measurements.
no code implementations • 1 Jun 2020 • Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Xiaojiang Chen, Xin Wang
Neural Architecture Search (NAS) is just such a revolutionary algorithm, and the related research work is complicated and rich.
no code implementations • 20 May 2020 • Yusuke Yasuda, Xin Wang, Junichi Yamagishi
Our experiments suggest that a) a neural sequence-to-sequence TTS system should have a sufficient number of model parameters to produce high quality speech, b) it should also use a powerful encoder when it takes characters as inputs, and c) the encoder still has a room for improvement and needs to have an improved architecture to learn supra-segmental features more appropriately.
no code implementations • 18 May 2020 • Brij Mohan Lal Srivastava, Natalia Tomashenko, Xin Wang, Emmanuel Vincent, Junichi Yamagishi, Mohamed Maouche, Aurélien Bellet, Marc Tommasi
The recently proposed x-vector based anonymization scheme converts any input voice into that of a random pseudo-speaker.
1 code implementation • 18 May 2020 • Youle Wang, Guangxi Li, Xin Wang
By performing numerical experiments, we show that shallow parameterized circuits with only one additional qubit can be trained to prepare the Ising chain and spin chain Gibbs states with a fidelity higher than 95%.
no code implementations • CVPR 2020 • Shunkai Li, Xin Wang, Yingdian Cao, Fei Xue, Zike Yan, Hongbin Zha
In this paper, we propose an online meta-learning algorithm to enable VO networks to continuously adapt to new environments in a self-supervised manner.
3 code implementations • 4 May 2020 • Natalia Tomashenko, Brij Mohan Lal Srivastava, Xin Wang, Emmanuel Vincent, Andreas Nautsch, Junichi Yamagishi, Nicholas Evans, Jose Patino, Jean-François Bonastre, Paul-Gauthier Noé, Massimiliano Todisco
The VoicePrivacy initiative aims to promote the development of privacy preservation tools for speech technology by gathering a new community to define the tasks of interest and the evaluation methodology, and benchmarking solutions through a series of challenges.
no code implementations • 24 Apr 2020 • Evani Radiya-Dixit, Xin Wang
Given a language model pre-trained on massive unlabeled text corpora, only very light supervised fine-tuning is needed to learn a task: the number of fine-tuning steps is typically five orders of magnitude lower than the total parameter count.
no code implementations • 21 Apr 2020 • Xin Wang, SeyedMehdi Abtahi, Mahmood Chahari, Tianyu Zhao
To evaluate the performance of the AN-FIS controller in closed-loop simulation, an ANFIS observer is used to estimate the attitude and angular velocities of the satellite using magnetometer, sun sensor and data gyro data.
no code implementations • 24 Mar 2020 • Lie Ju, Xin Wang, Xin Zhao, Huimin Lu, Dwarikanath Mahapatra, Paul Bonnington, ZongYuan Ge
In addition, we conduct additional experiments to show the effectiveness of SALL from the aspects of reliability and interpretability in the context of medical imaging application.
no code implementations • 23 Mar 2020 • Lie Ju, Xin Wang, Quan Zhou, Hu Zhu, Mehrtash Harandi, Paul Bonnington, Tom Drummond, ZongYuan Ge
We design a regularisation technique to regulate the domain adaptation.
2 code implementations • ICML 2020 • Xin Wang, Thomas E. Huang, Trevor Darrell, Joseph E. Gonzalez, Fisher Yu
Such a simple approach outperforms the meta-learning methods by roughly 2~20 points on current benchmarks and sometimes even doubles the accuracy of the prior methods.
Ranked #11 on
Few-Shot Object Detection
on MS-COCO (30-shot)
no code implementations • 20 Feb 2020 • Ruilin Li, Xin Wang, Hongyuan Zha, Molei Tao
In our practical implementation of EWSG, the non-uniform subsampling is performed efficiently via a Metropolis-Hastings chain on the data index, which is coupled to the MCMC algorithm.
1 code implementation • Radiology 2020 • Lin Li, Lixin Qin, Zeguo Xu, Youbing Yin, Xin Wang, Bin Kong, Junjie Bai, Yi Lu, Zhenghan Fang, Qi Song, Kunlin Cao, Daliang Liu, Guisheng Wang, Qizhong Xu, Xisheng Fang, Shiqin Zhang, Juan Xia, Jun Xia
Materials and Methods In this retrospective and multi-center study, a deep learning model, COVID-19 detection neural network (COVNet), was developed to extract visual features from volumetric chest CT exams for the detection of COVID-19.
no code implementations • 10 Feb 2020 • Quanyu Liao, Xin Wang, Bin Kong, Siwei Lyu, Youbing Yin, Qi Song, Xi Wu
Deep neural networks have been demonstrated to be vulnerable to adversarial attacks: subtle perturbations can completely change the classification results.