Search Results for author: Xin Wang

Found 284 papers, 94 papers with code

OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework

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.

Open Information Extraction

A Predicate-Function-Argument Annotation of Natural Language for Open-Domain Information eXpression

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.

Open Information Extraction

Arbitrary Reduction of MRI Slice Spacing Based on Local-Aware Implicit Representation

no code implementations23 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.

Power and limitations of single-qubit native quantum neural networks

no code implementations16 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.

The VoicePrivacy 2020 Challenge Evaluation Plan

1 code implementation14 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.

Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces

no code implementations13 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.

Face Detection

Quantum Self-Attention Neural Networks for Text Classification

no code implementations11 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.

Classification Text Classification

Fundamental limitations on optimization in variational quantum algorithms

no code implementations10 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.

An Edge-Cloud Integrated Framework for Flexible and Dynamic Stream Analytics

no code implementations10 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.

Edge-computing Object Detection +1

CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training

no code implementations4 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.

Contrastive Learning Defect Detection +1

Receiver Design for MIMO Unsourced Random Access with SKP Coding

no code implementations30 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).

Visual Attention Emerges from Recurrent Sparse Reconstruction

1 code implementation23 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.

The PartialSpoof Database and Countermeasures for the Detection of Short Generated Audio Segments Embedded in a Speech Utterance

no code implementations11 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.

Speaker Verification Voice Conversion

Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum

1 code implementation7 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.

Combinatorial Optimization

Flexible Sampling for Long-tailed Skin Lesion Classification

no code implementations7 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.

Classification Lesion Classification +1

Investigating Active-learning-based Training Data Selection for Speech Spoofing Countermeasure

no code implementations28 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.

Active Learning Data Augmentation +1

Energy-Efficient UAV-Mounted RIS Assisted Mobile Edge Computing

no code implementations24 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.

Edge-computing

The VoicePrivacy 2022 Challenge Evaluation Plan

1 code implementation23 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.

Speaker Verification

Compilable Neural Code Generation with Compiler Feedback

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.

Code Completion Code Generation +3

A Closer Look at Debiased Temporal Sentence Grounding in Videos: Dataset, Metric, and Approach

no code implementations10 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.

Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild

1 code implementation8 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.

Object Detection OOD Detection

Optimal quantum dataset for learning a unitary transformation

no code implementations1 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.

Synergistic Network Learning and Label Correction for Noise-robust Image Classification

no code implementations27 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.

Image Classification

Data-Driven Control of Event- and Self-Triggered Discrete-Time Systems

no code implementations16 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.

Out-Of-Distribution Generalization on Graphs: A Survey

no code implementations16 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.

Out-of-Distribution Generalization

GAN-generated Faces Detection: A Survey and New Perspectives (2022)

no code implementations15 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.

Face Detection

Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation

no code implementations27 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".

Dialogue Generation

Dichotomic Pattern Mining with Applications to Intent Prediction from Semi-Structured Clickstream Datasets

no code implementations23 Jan 2022 Xin Wang, Serdar Kadioglu

We introduce a pattern mining framework that operates on semi-structured datasets and exploits the dichotomy between outcomes.

Robust Contrastive Learning against Noisy Views

1 code implementation12 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.

Contrastive Learning

Adaptive Worker Grouping For Communication-Efficient and Straggler-Tolerant Distributed SGD

no code implementations12 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.

A Practical Guide to Logical Access Voice Presentation Attack Detection

1 code implementation10 Jan 2022 Xin Wang, Junichi Yamagishi

Presentation attack detection (PAD) for ASV, or speech anti-spoofing, is therefore indispensable.

Speaker Verification Speech Synthesis +1

Self-directed Machine Learning

no code implementations4 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.

Model Selection

Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need?

no code implementations23 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.

Combinatorial Optimization

A Scalable Deep Reinforcement Learning Model for Online Scheduling Coflows of Multi-Stage Jobs for High Performance Computing

no code implementations21 Dec 2021 Xin Wang, Hong Shen

Coflow is a recently proposed networking abstraction to help improve the communication performance of data-parallel computing jobs.

Decentralized Stochastic Proximal Gradient Descent with Variance Reduction over Time-varying Networks

no code implementations20 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 $O(\frac{1}{\sqrt{T}})$.

Reproducible and Portable Big Data Analytics in the Cloud

1 code implementation17 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.

Stochastic Actor-Executor-Critic for Image-to-Image Translation

no code implementations14 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.

Continuous Control Image-to-Image Translation +2

You Can Wash Better: Daily Handwashing Assessment with Smartwatches

no code implementations9 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.

Gesture Recognition Semantic Segmentation

OOD-GNN: Out-of-Distribution Generalized Graph Neural Network

no code implementations7 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.

Out-of-Distribution Generalization

Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness

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.

Adversarial Robustness

Curriculum Disentangled Recommendation with Noisy Multi-feedback

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.

Denoising Representation Learning

Not All Low-Pass Filters are Robust in Graph Convolutional Networks

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.

Disentangled Contrastive Learning on Graphs

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.

Contrastive Learning Self-Supervised Learning

Graph Differentiable Architecture Search with Structure Learning

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.

Denoising Graph structure learning +1

HybridGazeNet: Geometric model guided Convolutional Neural Networks for gaze estimation

no code implementations23 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.

Gaze Estimation

Active Learning Meets Optimized Item Selection

no code implementations22 Nov 2021 Bernard Kleynhans, Xin Wang, Serdar Kadıoğlu

Designing recommendation systems with limited or no available training data remains a challenge.

Active Learning Combinatorial Optimization +1

Long-Tailed Multi-Label Retinal Diseases Recognition Using Hierarchical Information and Hybrid Knowledge Distillation

no code implementations17 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.

Knowledge Distillation

Investigating self-supervised front ends for speech spoofing countermeasures

2 code implementations15 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.

Face Swapping

A Unified Game-Theoretic Interpretation of Adversarial Robustness

1 code implementation5 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.

Adversarial Robustness

CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks

no code implementations28 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.

Data-driven Control of Dynamic Event-triggered Systems with Delays

no code implementations25 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.

Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural Networks

no code implementations21 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.

Decision Making Open Set Learning

Efficiently Solve the Max-cut Problem via a Quantum Qubit Rotation Algorithm

1 code implementation15 Oct 2021 Xin Wang

The quantum circuits are comprised with single-qubit rotation gates implementing on each qubit.

Combinatorial Optimization

Estimating the confidence of speech spoofing countermeasure

1 code implementation10 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.

Provable hierarchical lifelong learning with a sketch-based modular architecture

no code implementations29 Sep 2021 Rina Panigrahy, Brendan Juba, Zihao Deng, Xin Wang, Zee Fryer

We propose a modular architecture for lifelong learning of hierarchically structured tasks.

A HYPOTHESIS FOR THE COGNITIVE DIFFICULTY OF IMAGES

no code implementations29 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.

Orthogonal Graph Neural Networks

no code implementations23 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.

Graph Classification

A Survey on Temporal Sentence Grounding in Videos

no code implementations16 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.

Temporal Action Localization

Robust Attentive Deep Neural Network for Exposing GAN-generated Faces

no code implementations5 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).

Face Detection

Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning

no code implementations5 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.

ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan

no code implementations1 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.

Face Swapping Speaker Verification

ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection

no code implementations1 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.

Face Swapping Speaker Verification

Eyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Faces

no code implementations1 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.

Wanderlust: Online Continual Object Detection in the Real World

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).

Continual Learning Object Detection

Interpreting Attributions and Interactions of Adversarial Attacks

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.

Curriculum Meta-Learning for Next POI Recommendation

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.

Meta-Learning

Distilling Holistic Knowledge with Graph Neural Networks

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.

Knowledge Distillation

SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation

no code implementations10 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.

Clone Detection Code Search +5

Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization

no code implementations4 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.

Retinal Vessel Segmentation Unsupervised Domain Adaptation

Dynamic Multi-scale Convolution for Dialect Identification

no code implementations2 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.

Dialect Identification

A Hypothesis for the Aesthetic Appreciation in Neural Networks

no code implementations31 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.

T$_k$ML-AP: Adversarial Attacks to Top-$k$ Multi-Label Learning

1 code implementation31 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.

Multi-Label Learning

VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation

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).

3D Semantic Segmentation

ReFormer: The Relational Transformer for Image Captioning

no code implementations29 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.

Graph Generation Image Captioning +1

Over-the-Air Federated Multi-Task Learning

no code implementations27 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).

Federated Learning Multi-Task Learning

Mobile Optical Communications Using Second Harmonic of Intra-Cavity Laser

no code implementations21 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.

Medical Matting: A New Perspective on Medical Segmentation with Uncertainty

1 code implementation18 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.

Image Matting Medical Image Segmentation +1

Visualizing Classifier Adjacency Relations: A Case Study in Speaker Verification and Voice Anti-Spoofing

1 code implementation11 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.

Speaker Verification Voice Anti-spoofing

DETReg: Unsupervised Pretraining with Region Priors for Object Detection

1 code implementation8 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.

Few-Shot Learning Few-Shot Object Detection +3

Sum of Ranked Range Loss for Supervised Learning

1 code implementation7 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.

Multi-class Classification Multi-Label Learning

Visual Question Rewriting for Increasing Response Rate

no code implementations4 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.

Question Rewriting

Transferable Adversarial Examples for Anchor Free Object Detection

no code implementations3 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.

Adversarial Attack Object Detection

Imperceptible Adversarial Examples for Fake Image Detection

no code implementations3 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.

Face Swapping Fake Image Detection

A Multi-Level Attention Model for Evidence-Based Fact Checking

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.

Fact Checking

Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge

no code implementations26 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.

Adversarial Attack Graph Embedding +1

Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition

no code implementations22 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.

Knowledge Distillation

Robust Object Detection via Instance-Level Temporal Cycle Confusion

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.

Frame Out-of-Distribution Generalization +1

Multi-Scale Context Aggregation Network with Attention-Guided for Crowd Counting

1 code implementation6 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.

Crowd Counting

An Initial Investigation for Detecting Partially Spoofed Audio

no code implementations6 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.

Voice Anti-spoofing

Attention Back-end for Automatic Speaker Verification with Multiple Enrollment Utterances

2 code implementations4 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.

Speaker Verification

Online Learning of a Probabilistic and Adaptive Scene Representation

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.

online learning

A Comparative Study on Recent Neural Spoofing Countermeasures for Synthetic Speech Detection

1 code implementation21 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.

Synthetic Speech Detection

A Unified Game-Theoretic Interpretation of Adversarial Robustness

1 code implementation12 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.

Adversarial Robustness

A Hybrid Quantum-Classical Hamiltonian Learning Algorithm

no code implementations1 Mar 2021 Youle Wang, Guangxi Li, Xin Wang

Hamiltonian learning is crucial to the certification of quantum devices and quantum simulators.

Automated Machine Learning on Graphs: A Survey

1 code implementation1 Mar 2021 Ziwei Zhang, Xin Wang, Wenwu Zhu

Machine learning on graphs has been extensively studied in both academic and industry.

Graph Learning Neural Architecture Search

Infrastructure Assisted Constrained Connected Automated Vehicle Trajectory Optimization on Curved Roads: A Spatial Formulation on a Curvilinear Coordinate

no code implementations1 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.

Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation

no code implementations28 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.

General Classification Image Classification +1

MetaDelta: A Meta-Learning System for Few-shot Image Classification

1 code implementation22 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.

Few-Shot Image Classification General Classification

Explicit Perturbations to the Stabilizer $τ= {\rm i}$ of Modular $A^\prime_5$ Symmetry and Leptonic CP Violation

no code implementations8 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

Practical distributed quantum information processing with LOCCNet

2 code implementations28 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.

A Closer Look at Temporal Sentence Grounding in Videos: Dataset and Metric

no code implementations22 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.

The dynamic energy balance in earthquakes expressed by fault surface morphology

no code implementations18 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

Instance-Aware Predictive Navigation in Multi-Agent Environments

1 code implementation14 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.

Multimodal Gait Recognition for Neurodegenerative Diseases

1 code implementation7 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.

Gait Recognition

A Marching Cube Algorithm Based on Edge Growth

no code implementations3 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

Intragroup sparsity for efficient inference

no code implementations1 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.

TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning

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.

Multi-Label Learning

Towards A Unified Understanding and Improving of Adversarial Transferability

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.

Detecting and quantifying entanglement on near-term quantum devices

1 code implementation28 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

Generalizable control for multiparameter quantum metrology

no code implementations24 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

Joint Optimization of Trajectory, Propulsion and Thrust Powers for Covert UAV-on-UAV Video Tracking and Surveillance

no code implementations22 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.

VSQL: Variational Shadow Quantum Learning for Classification

1 code implementation15 Dec 2020 Guangxi Li, Zhixin Song, Xin Wang

Classification of quantum data is essential for quantum machine learning and near-term quantum technologies.

Classification General Classification +1

Noise-Assisted Quantum Autoencoder

1 code implementation15 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

Variational Quantum Algorithms for Trace Distance and Fidelity Estimation

1 code implementation10 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

Partially Connected Automated Vehicle Cooperative Control Strategy with a Deep Reinforcement Learning Approach

no code implementations3 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.

reinforcement-learning

Sentence Matching with Syntax- and Semantics-Aware BERT

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.

Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling

no code implementations27 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.

Lesion Detection

Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D Reconstruction

1 code implementation25 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.

3D Reconstruction

Pretraining Strategies, Waveform Model Choice, and Acoustic Configurations for Multi-Speaker End-to-End Speech Synthesis

no code implementations10 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.

Speech Synthesis

A Survey on Curriculum Learning

no code implementations25 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.

Active Learning Continual Learning +2

End-to-End Text-to-Speech using Latent Duration based on VQ-VAE

no code implementations19 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).

Speech Synthesis Text-To-Speech Synthesis

SWIPENET: Object detection in noisy underwater images

1 code implementation19 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.

Small Object Detection

Holistic Combination of Structural and Textual Code Information for Context based API Recommendation

no code implementations15 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.

A Unified Approach to Interpreting and Boosting Adversarial Transferability

1 code implementation8 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.

Learning by Minimizing the Sum of Ranked Range

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.

General Classification Multi-class Classification +1

Crossing-Domain Generative Adversarial Networks for Unsupervised Multi-Domain Image-to-Image Translation

no code implementations27 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.

Translation Unsupervised Image-To-Image Translation

Disentangled Self-Supervision in Sequential Recommenders

1 code implementation23 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.

Disentanglement

Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment

1 code implementation22 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.

Image Classification Representation Learning

Learning Tuple Compatibility for Conditional OutfitRecommendation

no code implementations18 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.

Recommendation Systems

Deep Learning to Quantify Pulmonary Edema in Chest Radiographs

1 code implementation13 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.

Shortcuts to Adiabaticity for the Quantum Rabi Model: Efficient Generation of Giant Entangled Cat States via Parametric Amplification

no code implementations10 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

A SLAM Map Restoration Algorithm Based on Submaps and an Undirected Connected Graph

no code implementations29 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.

Simultaneous Localization and Mapping

Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis

1 code implementation16 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.

Sentiment Analysis Text Classification

Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification: Fundamentals

no code implementations12 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.

Speaker Verification

The curious case of developmental BERTology: On sparsity, transfer learning, generalization and the brain

no code implementations7 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.

Transfer Learning

Cooling-Aware Resource Allocation and Load Management for Mobile Edge Computing Systems

no code implementations19 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.

Edge-computing Total Energy

Learning Continuous-Time Dynamics by Stochastic Differential Networks

no code implementations11 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.

Time Series

Elliptic Blowup Equations for 6d SCFTs. IV: Matters

1 code implementation4 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

Variational Quantum Singular Value Decomposition

1 code implementation3 Jun 2020 Xin Wang, Zhixin Song, Youle Wang

In this work, we propose a variational quantum algorithm for singular value decomposition (VQSVD).

Image Compression Recommendation Systems

More Practical and Adaptive Algorithms for Online Quantum State Learning

no code implementations1 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.

online learning

A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions

no code implementations1 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.

Neural Architecture Search

Investigation of learning abilities on linguistic features in sequence-to-sequence text-to-speech synthesis

no code implementations20 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.

Speech Synthesis Text-To-Speech Synthesis

Variational quantum Gibbs state preparation with a truncated Taylor series

1 code implementation18 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%.

Self-Supervised Deep Visual Odometry with Online Adaptation

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.

Frame Meta-Learning +1

Introducing the VoicePrivacy Initiative

3 code implementations4 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.

How fine can fine-tuning be? Learning efficient language models

no code implementations24 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.

Language Modelling

An adaptive neuro-fuzzy model for attitude estimation and 2 control a 3 DOF system

no code implementations21 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.

Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-task Learning

no code implementations24 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.

Classification General Classification +2

Frustratingly Simple Few-Shot Object Detection

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.

Few-Shot Object Detection Meta-Learning

Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients

no code implementations20 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.

Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT

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.

COVID-19 Image Segmentation

Category-wise Attack: Transferable Adversarial Examples for Anchor Free Object Detection

no code implementations10 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.

Object Detection