no code implementations • ECCV 2020 • Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou
When learning this representation in deep networks, eigen-decomposition of covariance matrix is usually needed for a key step called matrix normalisation.
1 code implementation • Findings (ACL) 2022 • Zhen Wang, Yating Yang, Zhou Xi, Bo Ma, Lei Wang, Rui Dong, Azmat Anwar
We also propose a stable semi-supervised method named stair learning (SL) that orderly distills knowledge from better models to weaker models.
no code implementations • CCL 2020 • Haishun Liu, Lei Wang, Yanguang Chen, Shuchen Zhang, Yuanyuan Sun, Hongfei Lin
案件要素识别指将案件描述中重要事实描述自动抽取出来, 并根据领域专家设计的要素体系进行分类, 是智慧司法领域的重要研究内容。基于传统神经网络的文本编码难以提取深层次特征, 基于阈值的多标签分类难以捕获标签间依赖关系, 因此本文提出了基于预训练语言模型的多标签文本分类模型。该模型采用以Layer-attentive策略进行特征融合的语言模型作为编码器, 使用基于LSTM的序列生成模型作为解码器。在“CAIL2019”数据集上进行实验, 该方法比基于循环神经网络的算法在F1值上最高可提升7. 6%, 在相同超参数设置下比基础语言模型(BERT)提升约3. 2%。
no code implementations • COLING 2022 • Yao Dong, Lei Wang, Ji Xiang, Xiaobo Guo, Yuqiang Xie
Knowledge graph embedding, which aims to learn representations of entities and relations in knowledge graphs, finds applications in various downstream tasks.
no code implementations • 31 Jan 2023 • Xu Wen, Wanling Gao, Anzheng Li, Lei Wang, Zihan Jiang, Jianfeng Zhan
Without a unified framework, the hybrid deployments of deep learning (DL) and CML also suffer from severe performance and portability issues.
no code implementations • 5 Jan 2023 • Lei Yu, Wanqi Yang, Shengqi Huang, Lei Wang, Ming Yang
However, the goal of FS-UDA and FSL are relevant yet distinct, since FS-UDA aims to classify the samples in target domain rather than source domain.
no code implementations • 4 Jan 2023 • Danjie Zhu, Lei Wang, Hua Zhang, Simon X. Yang
This paper proposes an intelligent fault-tolerant control (FTC) strategy to tackle the trajectory tracking problem of an underwater vehicle (UV) under thruster damage (power loss) cases and meanwhile resolve the actuator saturation brought by the vehicle's physical constraints.
no code implementations • 25 Dec 2022 • Zhengxin Yang, Wanling Gao, Chunjie Luo, Lei Wang, Jianfeng Zhan
However, we found that the inference quality of state-of-the-art and state-of-the-practice in practical applications has a long tail distribution.
no code implementations • 23 Dec 2022 • Zhao Shan, Lei Wang, PengFei Liu, Tianyao Huang, Yimin Liu
To address this challenge, we use a novel iteratively selecting technique which breaks a difficult decision task into several easy tasks.
no code implementations • 21 Dec 2022 • Hongxiao Li, Wanling Gao, Lei Wang, Jianfeng Zhan
This article presents a unified computation model with generalized expression ability and a concise set of primitive operators for programming high-level algorithms.
1 code implementation • 14 Dec 2022 • Yu Ding, Lei Wang, Bin Liang, Shuming Liang, Yang Wang, Fang Chen
With the images output by the encoder-decoder network, another classifier is designed to learn the domain-invariant features to conduct image classification.
1 code implementation • 1 Dec 2022 • Zhenwen Liang, Jipeng Zhang, Lei Wang, Yan Wang, Jie Shao, Xiangliang Zhang
In this paper, we design a new training framework for an MWP solver by introducing a solution buffer and a solution discriminator.
1 code implementation • 28 Nov 2022 • Lanling Xu, Zhen Tian, Gaowei Zhang, Lei Wang, Junjie Zhang, Bowen Zheng, YiFan Li, Yupeng Hou, Xingyu Pan, Yushuo Chen, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen
In order to show the recent update in RecBole, we write this technical report to introduce our latest improvements on RecBole.
1 code implementation • 27 Nov 2022 • Lei Wang, Jiabang He, Xing Xu, Ning Liu, Hui Liu
In this paper, we propose a new model architecture with alignment-enriched tuning (dubbed AETNet) upon pre-trained document image models, to adapt downstream tasks with the joint task-specific supervised and alignment-aware contrastive objective.
no code implementations • 26 Nov 2022 • Wenbin Li, Meihao Kong, Xuesong Yang, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo
In this study, we present a new unified contrastive learning representation framework (named UniCLR) suitable for all the above four kinds of methods from a novel perspective of basic affinity matrix.
1 code implementation • 24 Nov 2022 • Lei Wang, Hongyu Yang, Yi Lin, Suwan Yin, Yuankai Wu
Although DRL has achieved important advancements in this field, the existing works pay little attention to the explainability and safety issues related to DRL controllers, particularly the safety under adversarial attacks.
no code implementations • 16 Nov 2022 • Ziyi Zhao, Hanwei Liu, Song Li, Junwei Pang, Maoqing Zhang, Yi Qin, Lei Wang, Qidi Wu
Intelligent music generation, one of the most popular subfields of computer creativity, can lower the creative threshold for non-specialists and increase the efficiency of music creation.
no code implementations • 10 Nov 2022 • Anguo Dong, Cuiyun Gao, Yan Jia, Qing Liao, Xuan Wang, Lei Wang, Jing Xiao
In this work, we propose a novel Syntax-guided Domain Adaptation Model, named SDAM, for more effective cross-domain ABSA.
no code implementations • 31 Oct 2022 • Lukai Wang, Lei Wang
Finally, sentiment analysis results were obtained by analyzing the comments with the LSTM model.
no code implementations • 31 Oct 2022 • Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Lim Ee Peng, Yanjie Fu
We present a gradient perspective to understand two negative impacts of popularity bias in recommendation model optimization: (i) the gradient direction of popular item embeddings is closer to that of positive interactions, and (ii) the magnitude of positive gradient for popular items are much greater than that of unpopular items.
no code implementations • 30 Oct 2022 • Lei Wang, Piotr Koniusz
Dynamic Time Warping (DTW) is used for matching pairs of sequences and celebrated in applications such as forecasting the evolution of time series, clustering time series or even matching sequence pairs in few-shot action recognition.
no code implementations • 30 Oct 2022 • Lei Wang, Piotr Koniusz
To factor out misalignment between query and support sequences of 3D body joints, we propose an advanced variant of Dynamic Time Warping which jointly models each smooth path between the query and support frames to achieve simultaneously the best alignment in the temporal and simulated camera viewpoint spaces for end-to-end learning under the limited few-shot training data.
1 code implementation • 30 Oct 2022 • Shan Zhang, Naila Murray, Lei Wang, Piotr Koniusz
To address these drawbacks, we propose a Time-rEversed diffusioN tEnsor Transformer (TENET), which i) forms high-order tensor representations that capture multi-way feature occurrences that are highly discriminative, and ii) uses a transformer that dynamically extracts correlations between the query image and the entire support set, instead of a single average-pooled support embedding.
1 code implementation • 27 Oct 2022 • Bowen Shen, Zheng Lin, Yuanxin Liu, Zhengxiao Liu, Lei Wang, Weiping Wang
Motivated by such considerations, we propose a collaborative optimization for PLMs that integrates static model compression and dynamic inference acceleration.
no code implementations • 25 Oct 2022 • Lei Wang, Xu Chen, Quanyu Dai, Zhenhua Dong
Recommender system has been deployed in a large amount of real-world applications, profoundly influencing people's daily life and production. Traditional recommender models mostly collect as comprehensive as possible user behaviors for accurate preference estimation.
1 code implementation • 23 Oct 2022 • Pengchao Hu, Man Lu, Lei Wang, Guoyue Jiang
Multi-level intermediate representations (MLIR) show great promise for reducing the cost of building domain-specific compilers by providing a reusable and extensible compiler infrastructure.
1 code implementation • 22 Oct 2022 • Chiyu Zhang, Jun Yang, Lei Wang, Zaiyan Dai
This paper presents a new hierarchical vision Transformer for image style transfer, called Strips Window Attention Transformer (S2WAT), which serves as an encoder of encoder-transfer-decoder architecture.
no code implementations • 7 Oct 2022 • Lei Wang, Benedict Yeoh, Jun Wah Ng
Synthetic voice and splicing audio clips have been generated to spoof Internet users and artificial intelligence (AI) technologies such as voice authentication.
no code implementations • 7 Oct 2022 • Lei Wang, Rong Tong, Cheung Chi Leung, Sunil Sivadas, Chongjia Ni, Bin Ma
This paper provides an overall introduction of our Automatic Speech Recognition (ASR) systems for Southeast Asian languages.
no code implementations • 7 Oct 2022 • Lei Wang, Rong Tong
This paper focuses on examining the phonetic effect of language transfer in automatic speech recognition.
1 code implementation • Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2022 • Jun Yu, Liwen Zhang, Shenshen Du, Hao Chang, Keda Lu, Zhong Zhang, Ye Yu, Lei Wang, Qiang Ling
To overcome these difficulties, this paper first select fewer but suitable data augmentation methods to improve the accuracy of the supervised model based on the labeled training set, which is suitable for the characteristics of hyperspectral images.
no code implementations • 27 Sep 2022 • Biqiang Mu, Tianshi Chen, He Kong, Bo Jiang, Lei Wang, Junfeng Wu
For the emerging regularized system identification, the study on input design has just started, and it is often formulated as a non-convex optimization problem that minimizes a scalar measure of the Bayesian mean squared error matrix subject to certain constraints, and the state-of-art method is the so-called quadratic mapping and inverse embedding (QMIE) method, where a time domain inverse embedding (TDIE) is proposed to find the inverse of the quadratic mapping.
no code implementations • 18 Sep 2022 • Lei Wang, Fangfang Liang, Bincheng Wang, Bo Liu
Gait recognition aims at identifying individual-specific walking patterns, which is highly dependent on the observation of the different periodic movements of each body part.
1 code implementation • 13 Sep 2022 • Hao Xie, Zi-Hang Li, Han Wang, Linfeng Zhang, Lei Wang
We present a deep generative model-based variational free energy approach to the equations of state of dense hydrogen.
1 code implementation • 3 Sep 2022 • Lei Wang, Ee-Peng Lim, Zhiwei Liu, Tianxiang Zhao
Recently, contrastive learning has been applied to the sequential recommendation task to address data sparsity caused by users with few item interactions and items with few user adoptions.
1 code implementation • 3 Sep 2022 • Yunshi Lan, Lei Wang, Jing Jiang, Ee-Peng Lim
To improve the compositional generalization in MWP solving, we propose an iterative data augmentation method that includes diverse compositional variation into training data and could collaborate with MWP methods.
no code implementations • 29 Aug 2022 • Lei Wang, Xin Liu
Decentralized optimization with orthogonality constraints is found widely in scientific computing and data science.
no code implementations • 22 Aug 2022 • Zhanyu Wang, Mingkang Tang, Lei Wang, Xiu Li, Luping Zhou
Automated radiographic report generation is a challenging cross-domain task that aims to automatically generate accurate and semantic-coherence reports to describe medical images.
no code implementations • 18 Aug 2022 • Wenqiang Ruan, Mingxin Xu, Wenjing Fang, Li Wang, Lei Wang, Weili Han
Second, to reduce the accuracy loss led by differential privacy noise and the huge communication overhead of MPL, we propose two optimization methods for the training process of MPL: (1) the data-independent feature extraction method, which aims to simplify the trained model structure; (2) the local data-based global model initialization method, which aims to speed up the convergence of the model training.
no code implementations • 12 Aug 2022 • Yingting Liu, Chaochao Chen, Jamie Cui, Li Wang, Lei Wang
The second type is provable secure but is inefficient and even helpless for the large-scale data sparsity scenario.
no code implementations • 12 Aug 2022 • Zhongyan Zhang, Lei Wang, Yang Wang, Luping Zhou, Jianjia Zhang, Peng Wang, Fang Chen
Although achieving promising results, this approach is restricted by two issues: 1) the domain gap between benchmark datasets and the dataset of a given retrieval task; 2) the required auxiliary dataset cannot be readily obtained.
1 code implementation • 9 Aug 2022 • Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi
In this work, we propose Reciprocal Distribution Alignment (RDA) to address semi-supervised learning (SSL), which is a hyperparameter-free framework that is independent of confidence threshold and works with both the matched (conventionally) and the mismatched class distributions.
no code implementations • 28 Jun 2022 • Lei Wang, Min Dai, Jianan He, Jingwei Huang, Mingwei Sun
Then, we convert vector shape prediction, regularization, and topology reconstruction into a unique primitive graph learning problem.
no code implementations • AAAI Conference on Artificial Intelligence 2022 • Yitong Duan, Lei Wang, Qizhong Zhang, Jian Li
As an asset pricing model in economics and finance, factor model has been widely used in quantitative investment.
no code implementations • 27 Jun 2022 • Bowen Yi, Lei Wang, Ian R. Manchester
The paper addresses the problem of attitude estimation for rigid bodies using (possibly time-varying) vector measurements, for which we provide a necessary and sufficient condition of distinguishability.
no code implementations • 23 Jun 2022 • Chia-Hsuan Chang, Lei Wang, Christopher C. Yang
To analyze the health consumer-generated content (HCGC) from the OHCs, identifying the colloquial medical expressions used by laypeople is a critical challenge.
no code implementations • 13 Jun 2022 • Lei Wang, Linlin Ge, Shan Luo, Zihan Yan, Zhaopeng Cui, Jieqing Feng
Specifically, a novel structure is proposed, namely, {\textit{track-community}}, in which each community consists of a group of tracks and represents a local segment in the scene.
no code implementations • 31 May 2022 • Wenshuo Zhou, Dalu Yang, Binghong Wu, Yehui Yang, Junde Wu, Xiaorong Wang, Lei Wang, Haifeng Huang, Yanwu Xu
Deep learning based medical imaging classification models usually suffer from the domain shift problem, where the classification performance drops when training data and real-world data differ in imaging equipment manufacturer, image acquisition protocol, patient populations, etc.
no code implementations • 6 May 2022 • Jian Dang, Zaichen Zhang, Yewei Li, Liang Wu, Bingcheng Zhu, Lei Wang
Reconfigurable intelligent surface (RIS) can assist terahertz wireless communication to restore the fragile line-of-sight links and facilitate beam steering.
no code implementations • 2 May 2022 • Ghazal Mirabnahrazam, Da Ma, Cédric Beaulac, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, James E Galvin, Lei Wang, Mirza Faisal Beg, the Alzheimer's Disease Neuroimaging Initiative
Combining MRI and genetic features improved survival prediction over using either modality alone, but adding CDC to any combination of features only worked as well as using only CDC features.
no code implementations • 2 Apr 2022 • Wenxiang Li, Yuanyuan Li, Ziyuan Pu, Long Cheng, Lei Wang, Linchuan Yang
Integrating the trip data with the COPERT model, this study calculates the CO2 emissions of shared rides (ridesplitting) and their substituted single rides (regular ridesourcing) to estimate the CO2 emission reduction of each ridesplitting trip.
1 code implementation • 27 Mar 2022 • Yue Duan, Zhen Zhao, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao
The core issue in semi-supervised learning (SSL) lies in how to effectively leverage unlabeled data, whereas most existing methods tend to put a great emphasis on the utilization of high-confidence samples yet seldom fully explore the usage of low-confidence samples.
no code implementations • 14 Mar 2022 • Yan Yan, Xuankun Wu, Chengdong Li, Yini He, Zhicheng Zhang, Huihui Li, Ang Li, Lei Wang
The proposed work is the first investigation in the emotion recognition oriented EEG topological feature analysis, which brought a novel insight into the brain neural system nonlinear dynamics analysis and feature extraction.
no code implementations • 14 Mar 2022 • Yan Yan, Tianzheng Liao, Jinjin Zhao, Jiahong Wang, Liang Ma, Wei Lv, Jing Xiong, Lei Wang
Given this observation, we devised a graph-inspired deep learning approach toward the sensor-based HAR tasks, which was further used to build a deep transfer learning model toward giving a tentative solution for these two challenging problems.
no code implementations • 11 Mar 2022 • Ghazal Mirabnahrazam, Da Ma, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, Lei Wang, James E Galvin, Mirza Faisal Beg, the Alzheimer's Disease Neuroimaging Initiative
Using a pre-defined 0. 5 threshold on DAT scores, we predicted whether or not a subject would develop DAT in the future.
no code implementations • 10 Mar 2022 • Ran Chen, Hanli Wang, Lei Wang, Sam Kwong
Second, previous approaches only consider learning single-stream similarity alignment (i. e., image-to-text level or text-to-image level), which is inadequate to fully use similarity information for image-text matching.
no code implementations • 16 Feb 2022 • Feng Xia, Lei Wang, Tao Tang, Xin Chen, Xiangjie Kong, Giles Oatley, Irwin King
In each non-output layer of the GCN, this framework uses a hub attention mechanism to assign new weights to connected non-hub vertices based on their common information with hub vertices.
no code implementations • 14 Feb 2022 • Zhaoyang Qu, Xiaoyong Bo, Tong Yu, Yaowei Liu, Yunchang Dong, Zhongfeng Kan, Lei Wang, Yang Li
Taking account of the fact that the existing knowledge-driven detection process for FDIAs has been in a passive detection state for a long time and ignores the advantages of data-driven active capture of features, an active and passive hybrid detection method for power CPS FDIAs with improved adaptive Kalman filter (AKF) and convolutional neural networks (CNN) is proposed in this paper.
no code implementations • 10 Feb 2022 • Yingzhanghao Zhou, Xiang Chen, Peng Zhang, Jun Wang, Lei Wang, Hong Guo
Since proposed in the 70s, the Non-Equilibrium Green Function (NEGF) method has been recognized as a standard approach to quantum transport simulations.
no code implementations • 5 Feb 2022 • Xiaohe Li, Lijie Wen, Yawen Deng, Fuli Feng, Xuming Hu, Lei Wang, Zide Fan
Graph Neural Network (GNN) is an emerging technique for graph-based learning tasks such as node classification.
no code implementations • 3 Feb 2022 • Xihan Li, Xiang Chen, Rasul Tutunov, Haitham Bou-Ammar, Lei Wang, Jun Wang
The Schr\"odinger equation is at the heart of modern quantum mechanics.
no code implementations • 24 Jan 2022 • Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng
Different from the conventional data augmentation, the proposed domain-aware mix-normalization to enhance the diversity of features during training from the normalization view of the neural network, which can effectively alleviate the model overfitting to the source domains, so as to boost the generalization capability of the model in the unseen domain.
no code implementations • 15 Jan 2022 • Romeo Ortega, Rafael Cisneros, Lei Wang, Arjan van der Schaft
In this note we address the problem of indirect adaptive (regulation or tracking) control of nonlinear, input affine dissipative systems.
1 code implementation • 10 Jan 2022 • Hao Xie, Linfeng Zhang, Lei Wang
The quasiparticle effective mass $m^\ast$ of interacting electrons is a fundamental quantity in the Fermi liquid theory.
no code implementations • CVPR 2022 • Shan Zhang, Lei Wang, Naila Murray, Piotr Koniusz
We design a Kernelized Few-shot Object Detector by leveraging kernelized matrices computed over multiple proposal regions, which yield expressive non-linear representations whose model complexity is learned on the fly.
no code implementations • CVPR 2022 • Zhen Zhao, Luping Zhou, Yue Duan, Lei Wang, Lei Qi, Yinghuan Shi
Consistency-based Semi-supervised learning (SSL) has achieved promising performance recently.
1 code implementation • CVPR 2022 • Yingying Deng, Fan Tang, WeiMing Dong, Chongyang Ma, Xingjia Pan, Lei Wang, Changsheng Xu
The goal of image style transfer is to render an image with artistic features guided by a style reference while maintaining the original content.
no code implementations • 30 Dec 2021 • Lei Wang, Xin Liu
In this paper, we focus on the decentralized optimization problem over the Stiefel manifold, which is defined on a connected network of $d$ agents.
no code implementations • 23 Dec 2021 • Xiaotong Ni, Hui-Hai Zhao, Lei Wang, Feng Wu, Jianxin Chen
In a quantum processor, the device design and external controls together contribute to the quality of the target quantum operations.
no code implementations • 23 Dec 2021 • Lei Wang, Jun Liu, Piotr Koniusz
In this paper, we propose a Few-shot Learning pipeline for 3D skeleton-based action recognition by Joint tEmporal and cAmera viewpoiNt alIgnmEnt (JEANIE).
no code implementations • 23 Dec 2021 • Songtao Peng, Jiaqi Nie, Xincheng Shu, Zhongyuan Ruan, Lei Wang, Yunxuan Sheng, Qi Xuan
As the default protocol for exchanging routing reachability information on the Internet, the abnormal behavior in traffic of Border Gateway Protocols (BGP) is closely related to Internet anomaly events.
1 code implementation • 16 Dec 2021 • Lei Wang
Human action recognition still exists many challenging problems such as different viewpoints, occlusion, lighting conditions, human body size and the speed of action execution, although it has been widely used in different areas.
no code implementations • 30 Nov 2021 • Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng
A significance of our work lies in that it shows the potential of unsupervised domain generalization for person ReID and sets a strong baseline for the further research on this topic.
no code implementations • 23 Nov 2021 • Pengfei Zhu, Hongtao Yu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, QinGhua Hu
To address this issue, segmentation-based trackers have been proposed that employ per-pixel matching to improve the tracking performance of deformable objects effectively.
no code implementations • 15 Nov 2021 • Rong Fu, Tianyao Huang, Lei Wang, Yimin Liu
As a typical signal processing problem, multidimensional harmonic retrieval (MHR) has been adapted to a wide range of applications in signal processing.
no code implementations • 28 Oct 2021 • Olatunji Mumini Omisore, Toluwanimi Akinyemi, Wenke Duan, Wenjing Du, Lei Wang
Robotic catheterization is typically used for percutaneous coronary intervention procedures nowadays and it involves steering flexible endovascular tools to open up occlusion in the coronaries.
no code implementations • 20 Oct 2021 • Ran Cheng, Chao Chen, Longfei Xu, Shen Li, Lei Wang, Hengbin Cui, Kaikui Liu, Xiaolong Li
For user representation, we utilize a series of historical navigation to extract user preference.
no code implementations • 18 Oct 2021 • Langzhang Liang, Cuiyun Gao, Shiyi Chen, Shishi Duan, Yu Pan, Junjin Zheng, Lei Wang, Zenglin Xu
Graph Convolutional Networks (GCNs) are powerful for processing graph-structured data and have achieved state-of-the-art performance in several tasks such as node classification, link prediction, and graph classification.
no code implementations • 11 Oct 2021 • Piotr Koniusz, Lei Wang, Ke Sun
We aim at capturing high-order statistics of feature vectors formed by a neural network, and propose end-to-end second- and higher-order pooling to form a tensor descriptor.
Ranked #2 on
Scene Recognition
on YUP++
(using extra training data)
no code implementations • 29 Sep 2021 • Lei Wang, Deming Yuan, Guodong Shi
In this paper, we study dataset processing mechanisms generated by linear queries in the presence of manifold data dependency.
no code implementations • 29 Sep 2021 • Deming Yuan, Lei Wang, Alexandre Proutiere, Guodong Shi
Zeroth-order optimization has become increasingly important in complex optimization and machine learning when cost functions are impossible to be described in closed analytical forms.
no code implementations • 29 Sep 2021 • Chunjie Luo, Jianfeng Zhan, Lei Wang, Wanling Gao
Specifically, it calculates the mean like Batch Normalization to maintain the advantage of Batch Normalization.
no code implementations • 29 Sep 2021 • Kemi Ding, Yijun Chen, Lei Wang, Xiaoqiang Ren, Guodong Shi
Next, in view of the inherent stability and sparsity constraints for the network interaction structure, we propose a stable and sparse system identification framework for learning the interaction graph from full player action observations.
no code implementations • 28 Sep 2021 • Lei Wang, Shihui Zhang, Huan He, Xiaoxiao Zhang, Yu Sang
Last but not least, the compact triplet-center loss is proposed specifically for the sketch recognition task.
1 code implementation • Findings (EMNLP) 2021 • Qiyuan Zhang, Lei Wang, Sicheng Yu, Shuohang Wang, Yang Wang, Jing Jiang, Ee-Peng Lim
While diverse question answering (QA) datasets have been proposed and contributed significantly to the development of deep learning models for QA tasks, the existing datasets fall short in two aspects.
1 code implementation • 15 Sep 2021 • Binghong Wu, Yehui Yang, Dalu Yang, Junde Wu, Xiaorong Wang, Haifeng Huang, Lei Wang, Yanwu Xu
Based on focal loss with ATSS-R50, our approach achieves 40. 5 AP, surpassing the state-of-the-art QFL (Quality Focal Loss, 39. 9 AP) and VFL (Varifocal Loss, 40. 1 AP).
1 code implementation • 10 Sep 2021 • Wenbin Li, Ziyi, Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo
Furthermore, based on LibFewShot, we provide comprehensive evaluations on multiple benchmarks with various backbone architectures to evaluate common pitfalls and effects of different training tricks.
1 code implementation • 2 Sep 2021 • Yihuai Lan, Lei Wang, Qiyuan Zhang, Yunshi Lan, Bing Tian Dai, Yan Wang, Dongxiang Zhang, Ee-Peng Lim
Over the last few years, there are a growing number of datasets and deep learning-based methods proposed for effectively solving MWPs.
Ranked #6 on
Math Word Problem Solving
on Math23K
no code implementations • 21 Aug 2021 • Lei Wang, Romeo Ortega, Alexei Bobtsov
In this paper we are interested in the problem of state observation of state-affine nonlinear systems.
no code implementations • 19 Aug 2021 • Lei Wang, Romeo Ortega, Alexey Bobtsov, Jose Guadalupe Romero, Bowen Yi
The estimators are shown to be robust to additive measurement noise and--not necessarily slow--parameter variations.
1 code implementation • 12 Aug 2021 • Ziwei Yang, Ruyi Zhang, Zhi Yang, Xubo Yang, Lei Wang, Zheyang Li
One-shot neural architecture search (NAS) applies weight-sharing supernet to reduce the unaffordable computation overhead of automated architecture designing.
1 code implementation • 12 Aug 2021 • Ruyi Zhang, Ziwei Yang, Zhi Yang, Xubo Yang, Lei Wang, Zheyang Li
To alleviate this problem, we propose a novel framework to train an accuracy predictor under few training samples.
no code implementations • 6 Aug 2021 • Shengqi Huang, Wanqi Yang, Lei Wang, Luping Zhou, Ming Yang
Inspired by the recent local descriptor based few-shot learning (FSL), our general UDA model is fully built upon local descriptors (LDs) for image classification and domain adaptation.
1 code implementation • Findings (NAACL) 2022 • Zhenwen Liang, Jipeng Zhang, Lei Wang, Wei Qin, Yunshi Lan, Jie Shao, Xiangliang Zhang
Math word problem (MWP) solving faces a dilemma in number representation learning.
Ranked #3 on
Math Word Problem Solving
on MathQA
no code implementations • 26 Jul 2021 • Liang Zeng, Lei Wang, Hui Niu, Jian Li, Ruchen Zhang, Zhonghao Dai, Dewei Zhu, Ling Wang
To address this issue, we propose a novel price movement forecasting framework, called Locality-Aware Attention and Iterative Refinement Labeling(LARA), which consists of two main components: 1)Locality-aware attention automatically extracts the potentially profitable samples by attending to surrounding class-aware label information.
1 code implementation • 24 Jul 2021 • Qian Yu, Lei Qi, Luping Zhou, Lei Wang, Yilong Yin, Yinghuan Shi, Wuzhang Wang, Yang Gao
Together, the above two schemes give rise to a novel double-branch encoder segmentation framework for medical image segmentation, namely Crosslink-Net.
1 code implementation • ICCV 2021 • Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu
To further improve the performance of these tasks, we propose a novel Hand Image Understanding (HIU) framework to extract comprehensive information of the hand object from a single RGB image, by jointly considering the relationships between these tasks.
no code implementations • 22 Jul 2021 • Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo
However, this type of methods, such as SimCLR and MoCo, relies heavily on a large number of negative pairs and thus requires either large batches or memory banks.
no code implementations • CVPR 2021 • Zhanyu Wang, Luping Zhou, Lei Wang, Xiu Li
On one hand, the image-text matching branch helps to learn highly text-correlated visual features for the report generation branch to output high quality reports.
no code implementations • 31 May 2021 • Liang Chen, Xiangchen Lu, Nan Shen, Lei Wang, Yuan Zhuang, Ye Su, Deren Li, Ruizhi Chen
The performance of those integration algorithms on expanding the successful acquisition time range is verified by the real data collected from the Luojia-1A satellite.
no code implementations • 30 May 2021 • Xiongshi Deng, Min Li, Lei Wang, Qikang Wan
Feature selection is a preprocessing step which plays a crucial role in the domain of machine learning and data mining.
3 code implementations • 30 May 2021 • Yingying Deng, Fan Tang, WeiMing Dong, Chongyang Ma, Xingjia Pan, Lei Wang, Changsheng Xu
The goal of image style transfer is to render an image with artistic features guided by a style reference while maintaining the original content.
no code implementations • 30 May 2021 • Xiongshi Deng, Min Li, Shaobo Deng, Lei Wang
In the second stage, XGBoost-MOGA searches for an optimal gene subset based on the most relevant genes's group using a multi-objective optimization genetic algorithm.
no code implementations • 29 May 2021 • Fan Hu, Lei Wang, Yishen Hu, Dongqi Wang, Weijie Wang, Jianbing Jiang, Nan Li, Peng Yin
The identification of protein-ligand interaction plays a key role in biochemical research and drug discovery.
1 code implementation • 19 May 2021 • Minghuan Tan, Lei Wang, Lingxiao Jiang, Jing Jiang
In this paper, we revisit math word problems~(MWPs) from the cross-lingual and multilingual perspective.
Machine Translation
Pretrained Multilingual Language Models
+1
1 code implementation • 18 May 2021 • Hao Xie, Linfeng Zhang, Lei Wang
The variational density matrix is parametrized by a permutation equivariant many-body unitary transformation together with a discrete probabilistic model.
1 code implementation • 4 May 2021 • Zhenyue Qin, Yang Liu, Pan Ji, Dongwoo Kim, Lei Wang, Bob McKay, Saeed Anwar, Tom Gedeon
Recent skeleton-based action recognition methods extract features from 3D joint coordinates as spatial-temporal cues, using these representations in a graph neural network for feature fusion to boost recognition performance.
Ranked #11 on
Skeleton Based Action Recognition
on NTU RGB+D 120
no code implementations • CVPR 2021 • Peng Wang, Kai Han, Xiu-Shen Wei, Lei Zhang, Lei Wang
Learning discriminative image representations plays a vital role in long-tailed image classification because it can ease the classifier learning in imbalanced cases.
Ranked #6 on
Long-tail Learning
on CIFAR-100-LT (ρ=10)
1 code implementation • 24 Mar 2021 • Chunjie Luo, Jianfeng Zhan, Tianshu Hao, Lei Wang, Wanling Gao
The attention branch is gated using the Sigmoid function and multiplied by the feature map's trunk branch.
no code implementations • 14 Mar 2021 • Zhiqiang Hu, Roy Ka-Wei Lee, Lei Wang, Ee-Peng Lim, Bo Dai
Authorship attribution (AA), which is the task of finding the owner of a given text, is an important and widely studied research topic with many applications.
1 code implementation • 9 Mar 2021 • Chaohao Xie, Dongwei Ren, Lei Wang, WangMeng Zuo
For learning pseudo mask generator from the auxiliary dataset, we present a bi-level optimization formulation.
Weakly supervised Semantic Segmentation
Weakly-Supervised Semantic Segmentation
no code implementations • 7 Mar 2021 • Ke Sun, Lei Wang, Bo Xu, Wenhong Zhao, Shyh Wei Teng, Feng Xia
Network representation learning (NRL) is an effective graph analytics technique and promotes users to deeply understand the hidden characteristics of graph data.
no code implementations • 27 Feb 2021 • Lei Wang, Pengcheng Xu, Zhaoyang Qu, Xiaoyong Bo, Yunchang Dong, Zhenming Zhang, Yang Li
Existing coordinated cyber-attack detection methods have low detection accuracy and efficiency and poor generalization ability due to difficulties dealing with unbalanced attack data samples, high data dimensionality, and noisy data sets.
no code implementations • 25 Feb 2021 • Zihan Jiang, Wanling Gao, Fei Tang, Xingwang Xiong, Lei Wang, Chuanxin Lan, Chunjie Luo, Hongxiao Li, Jianfeng Zhan
Recent years witness a trend of applying large-scale distributed deep learning algorithms (HPC AI) in both business and scientific computing areas, whose goal is to speed up the training time to achieve a state-of-the-art quality.
Image Classification
Performance
no code implementations • 1 Feb 2021 • Xiaoyong Bo, Xiaoyu Chen, Huashun Li, Yunchang Dong, Zhaoyang Qu, Lei Wang, Yang Li
Considering the constraints of the temporal conversion of information flow and energy flow, a microgrid CPS coupling model is established, the effectiveness of which is verified by simulating false data injection attack (FDIA) scenarios.
no code implementations • 29 Jan 2021 • Lei Wang, Tai Min, Ke Xia
Based on the exact muffin-tin orbitals (EMTOs), we developed a first-principles method to calculate the current operators and investigated the anomalous Hall effect in bcc Fe as an example, with which we successfully separated the skew scattering contribution from the side jump and intrinsic contributions by fitting the scaling law with the introduction of sparse impurities.
Materials Science Mesoscale and Nanoscale Physics
no code implementations • 24 Jan 2021 • Tailin Liang, John Glossner, Lei Wang, Shaobo Shi, Xiaotong Zhang
We discuss trade-offs in element-wise, channel-wise, shape-wise, filter-wise, layer-wise and even network-wise pruning.
no code implementations • ICCV 2021 • Cheng Yan, Guansong Pang, Lei Wang, Jile Jiao, Xuetao Feng, Chunhua Shen, Jingjing Li
In this work we introduce a new ReID task, bird-view person ReID, which aims at searching for a person in a gallery of horizontal-view images with the query images taken from a bird's-eye view, i. e., an elevated view of an object from above.
no code implementations • 1 Jan 2021 • Pei Yingjun, Hou Xinwen, Li Jian, Lei Wang
We also show that our method achieves better performance than VIB and mutual information neural estimation (MINE), two other popular approaches to optimize the information bottleneck framework in supervised learning.
no code implementations • 1 Jan 2021 • Lei Wang, Runtian Zhai, Di He, LiWei Wang, Li Jian
For certification, we carefully allocate specific robust regions for each test sample.
1 code implementation • ICCV 2021 • Zheng Gu, Wenbin Li, Jing Huo, Lei Wang, Yang Gao
Given only a few available images for a novel unseen category, few-shot image generation aims to generate more data for this category.
no code implementations • 28 Dec 2020 • Piotr Koniusz, Lei Wang, Anoop Cherian
In this paper, we propose novel tensor representations for compactly capturing such higher-order relationships between visual features for the task of action recognition.
Ranked #2 on
Skeleton Based Action Recognition
on UT-Kinect
no code implementations • 17 Dec 2020 • Cai Heng Li, Lei Wang, Binzhou Xia
This paper addresses the factorization problem of almost simple groups, studies regular subgroups of quasiprimitive permutation groups, and characterizes $s$-arc transitive Cayley graphs of finite simple groups.
Group Theory
no code implementations • 29 Nov 2020 • Lei Wang, Yuchun Huang, Pengjie Tao, Yaolin Hou, Yuxuan Liu
We study the problem of generating point clouds of 3D objects.
1 code implementation • 28 Nov 2020 • Xiwu Zhang, Lei Wang, Yan Su
Visual place recognition has attracted widespread research interest in multiple fields such as computer vision and robotics.
no code implementations • 27 Nov 2020 • Xiangchen Lu, Liang Chen, Nan Shen, Lei Wang, Zhenhang Jiao, Ruizhi Chen
With the rapid development of China's BeiDou Navigation Satellite System(BDS), the application of real-time precise point positioning (RTPPP) based on BDS has become an active research area in the field of Global Navigation Satellite System (GNSS).
no code implementations • 15 Nov 2020 • Bo wang, Lei Wang, Junyang Chen, Zhenghua Xu, Thomas Lukasiewicz, Zhigang Fu
Non-local attention and feature learning by multi-scale methods are widely used to model network, which drives progress in medical image segmentation.
no code implementations • 16 Oct 2020 • Yuang Shi, Chen Zu, Mei Hong, Luping Zhou, Lei Wang, Xi Wu, Jiliu Zhou, Daoqiang Zhang, Yan Wang
With the increasing amounts of high-dimensional heterogeneous data to be processed, multi-modality feature selection has become an important research direction in medical image analysis.
no code implementations • 13 Oct 2020 • Junming Ma, Chaofan Yu, Aihui Zhou, Bingzhe Wu, Xibin Wu, Xingyu Chen, Xiangqun Chen, Lei Wang, Donggang Cao
We present S3ML, a secure serving system for machine learning inference in this paper.
no code implementations • 12 Sep 2020 • Song Cheng, Lei Wang, Pan Zhang
Tensor networks, a model that originated from quantum physics, has been gradually generalized as efficient models in machine learning in recent years.
1 code implementation • 3 Sep 2020 • Cong Sun, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang
Using the sequence labeling framework to implement biomedical named entity recognition (BioNER) is currently a conventional method.
no code implementations • 20 Aug 2020 • Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Alex X. Liu, Hao Wang, Cheng Hong
In this paper, we first present CAESAR, which combines HE and SS to build secure large-scale sparse logistic regression model and achieves both efficiency and security.
no code implementations • 17 Aug 2020 • Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King
The advisor-advisee relationship represents direct knowledge heritage, and such relationship may not be readily available from academic libraries and search engines.
1 code implementation • 16 Aug 2020 • Jin-Guo Liu, Lei Wang, Pan Zhang
We present a unified exact tensor network approach to compute the ground state energy, identify the optimal configuration, and count the number of solutions for spin glasses.
Statistical Mechanics Quantum Physics Computation
no code implementations • 9 Aug 2020 • Lei Wang, Jing Ren, Bo Xu, Jian-Xin Li, Wei Luo, Feng Xia
Link prediction plays an important role in network analysis and applications.
1 code implementation • 3 Aug 2020 • Yehui Yang, Fangxin Shang, Binghong Wu, Dalu Yang, Lei Wang, Yanwu Xu, Wensheng Zhang, Tianzhu Zhang
As a result, it exploits more discriminative features for DR grading.
no code implementations • 31 Jul 2020 • Dalu Yang, Yehui Yang, Tiantian Huang, Binghong Wu, Lei Wang, Yanwu Xu
How can we train a classification model on labeled fundus images ac-quired from only one camera brand, yet still achieves good performance on im-ages taken by other brands of cameras?
1 code implementation • 31 Jul 2020 • Xu Sun, Huihui Fang, Yehui Yang, Dongwei Zhu, Lei Wang, Junwei Liu, Yanwu Xu
In this paper, we propose two new data augmentation modules, namely, channel-wise random Gamma correction and channel-wise random vessel augmentation.
1 code implementation • ACL 2020 • Jipeng Zhang, Lei Wang, Roy Ka-Wei Lee, Yi Bin, Yan Wang, Jie Shao, Ee-Peng Lim
While the recent tree-based neural models have demonstrated promising results in generating solution expression for the math word problem (MWP), most of these models do not capture the relationships and order information among the quantities well.
Ranked #6 on
Math Word Problem Solving
on MAWPS
no code implementations • 29 Jun 2020 • Zhenyu Liu, Yaqiang Yao, Yan Liu, Yuening Zhu, Zhenchao Tao, Lei Wang, Yuhong Feng
In the proposed method, an activity is divided into several successive actions represented by spatio temporal patterns, and the evolution of these actions are captured by a sequential model.
no code implementations • 2 Jun 2020 • Shasha Guo, Lei Wang, Xiaofan Chen, Limeng Zhang, Ziyang Kang, Weixia Xu
We not only give the visual denoising effect of the filter but also use two metrics for quantitatively analyzing the filter's performance.
no code implementations • 18 May 2020 • Wenjing Fang, Derun Zhao, Jin Tan, Chaochao Chen, Chaofan Yu, Li Wang, Lei Wang, Jun Zhou, Benyu Zhang
Privacy-preserving machine learning has drawn increasingly attention recently, especially with kinds of privacy regulations come into force.
no code implementations • 14 May 2020 • Chunjie Luo, Jianfeng Zhan, Lei Wang, Wanling Gao
To build light-weight network, we propose a new normalization, Fine-grained Batch Normalization (FBN).
no code implementations • 7 May 2020 • Chunjie Luo, Xiwen He, Jianfeng Zhan, Lei Wang, Wanling Gao, Jiahui Dai
Due to increasing amounts of data and compute resources, deep learning achieves many successes in various domains.
no code implementations • 6 May 2020 • Wanling Gao, Fei Tang, Jianfeng Zhan, Xu Wen, Lei Wang, Zheng Cao, Chuanxin Lan, Chunjie Luo, Xiaoli Liu, Zihan Jiang
We formalize a real-world application scenario as a Directed Acyclic Graph-based model and propose the rules to distill it into a permutation of essential AI and non-AI tasks, which we call a scenario benchmark.
no code implementations • 30 Apr 2020 • Fei Tang, Wanling Gao, Jianfeng Zhan, Chuanxin Lan, Xu Wen, Lei Wang, Chunjie Luo, Jiahui Dai, Zheng Cao, Xingwang Xiong, Zihan Jiang, Tianshu Hao, Fanda Fan, Fan Zhang, Yunyou Huang, Jianan Chen, Mengjia Du, Rui Ren, Chen Zheng, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye
We use real-world benchmarks to cover the factors space that impacts the learning dynamics to the most considerable extent.
2 code implementations • 27 Apr 2020 • Wei Tang, Hong-Hao Tu, Lei Wang
We present an algorithm for studying quantum systems at finite temperature using continuous matrix product operator representation.
Strongly Correlated Electrons Statistical Mechanics Computational Physics
no code implementations • 20 Apr 2020 • Wanqi Yang, Tong Ling, Chengmei Yang, Lei Wang, Yinghuan Shi, Luping Zhou, Ming Yang
To address this issue, we propose a novel approach called Conditional ADversarial Image Translation (CADIT) to explicitly align the class distributions given samples between the two domains.
no code implementations • 10 Apr 2020 • Chaochao Chen, Liang Li, Wenjing Fang, Jun Zhou, Li Wang, Lei Wang, Shuang Yang, Alex Liu, Hao Wang
Nowadays, the utilization of the ever expanding amount of data has made a huge impact on web technologies while also causing various types of security concerns.
no code implementations • 8 Apr 2020 • Shasha Guo, Ziyang Kang, Lei Wang, Limeng Zhang, Xiaofan Chen, Shiming Li, Weixia Xu
Neuromorphic event-based dynamic vision sensors (DVS) have much faster sampling rates and a higher dynamic range than frame-based imagers.
Emerging Technologies Signal Processing
no code implementations • 7 Apr 2020 • Shuo Tian, Lianhua Qu, Kai Hu, Nan Li, Lei Wang, Weixia Xu
By exploring the design space in network architectures and parameters, recent works have demonstrated great potential for improving the accuracy of LSM model with low complexity.
no code implementations • 6 Apr 2020 • Shasha Guo, Lianhua Qu, Lei Wang, Shuo Tian, Shiming Li, Weixia Xu
To mitigate the difficulty in effectively dealing with huge input spaces of LSM, and to find that whether input reduction can enhance LSM performance, we explore several input patterns, namely fullscale, scanline, chessboard, and patch.
no code implementations • CVPR 2021 • Xiong Zhang, Hongmin Xu, Hong Mo, Jianchao Tan, Cheng Yang, Lei Wang, Wenqi Ren
Neural Architecture Search (NAS) has shown great potentials in automatically designing scalable network architectures for dense image predictions.
Ranked #7 on
Semantic Segmentation
on Cityscapes test
no code implementations • 15 Mar 2020 • Lei Wang, Wenbin Huang, Yuanpeng Li, Julian Evans, Sailing He
We model and predict human competition behavior by combining many Markov Models with different fixed memory lengths (abbreviated as "multi-AI"), and develop an architecture of multi-AI with changeable parameters to adapt to different competition strategies.
no code implementations • 12 Mar 2020 • Chunjie Luo, Jianfeng Zhan, Lei Wang, Wanling Gao
To alleviate the problem caused by small batch size, extended batch normalization computes the standard deviation along the (N, C, H, W) dimensions, thus enlarges the number of samples from which the standard deviation is computed.
Ranked #59 on
Image Classification
on STL-10
no code implementations • 11 Mar 2020 • Longfei Zheng, Chaochao Chen, Yingting Liu, Bingzhe Wu, Xibin Wu, Li Wang, Lei Wang, Jun Zhou, Shuang Yang
Deep Neural Network (DNN) has been showing great potential in kinds of real-world applications such as fraud detection and distress prediction.
no code implementations • 6 Mar 2020 • Olatunji Mumini Omisore, Wenjing Du, Tao Zhou, Shipeng Han, Kamen Ivanov, Yousef Al-Handarish, Lei Wang
Despite having the robotic catheter systems which have recently emerged as safe way of performing cardiovascular interventions, a number of important challenges are yet to be investigated.
no code implementations • 17 Feb 2020 • Wanling Gao, Fei Tang, Jianfeng Zhan, Chuanxin Lan, Chunjie Luo, Lei Wang, Jiahui Dai, Zheng Cao, Xiongwang Xiong, Zihan Jiang, Tianshu Hao, Fanda Fan, Xu Wen, Fan Zhang, Yunyou Huang, Jianan Chen, Mengjia Du, Rui Ren, Chen Zheng, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Gang Lu, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye
An end-to-end benchmark is a distillation of the essential attributes of an industry-scale application.
no code implementations • 1 Feb 2020 • Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo
Given the natural asymmetric relation between a query image and a support class, we argue that an asymmetric measure is more suitable for metric-based few-shot learning.
2 code implementations • MIDL 2019 • Jun Ma, Zhan Wei, Yiwen Zhang, Yixin Wang, Rongfei Lv, Cheng Zhu, Gaoxiang Chen, Jianan Liu, Chao Peng, Lei Wang, Yunpeng Wang, Jianan Chen
The \emph{second contribution} is that we systematically evaluated five benchmark methods on two representative public datasets.
no code implementations • 14 Jan 2020 • Lei Wang, Piotr Koniusz
In this paper, we build on a concept of self-supervision by taking RGB frames as input to learn to predict both action concepts and auxiliary descriptors e. g., object descriptors.
Ranked #1 on
Scene Recognition
on YUP++
(using extra training data)
1 code implementation • 24 Dec 2019 • Jin-Guo Liu, Liang Mao, Pan Zhang, Lei Wang
We extend the ability of unitary quantum circuits by interfacing it with classical autoregressive neural networks.
Quantum Physics
1 code implementation • 23 Dec 2019 • Xiu-Zhe Luo, Jin-Guo Liu, Pan Zhang, Lei Wang
We introduce Yao, an extensible, efficient open-source framework for quantum algorithm design.
Quantum Physics Strongly Correlated Electrons Computational Physics
no code implementations • 20 Dec 2019 • Xi Liu, Rui Zhang, Yongsheng Zhou, Qianyi Jiang, Qi Song, Nan Li, Kai Zhou, Lei Wang, Dong Wang, Minghui Liao, Mingkun Yang, Xiang Bai, Baoguang Shi, Dimosthenis Karatzas, Shijian Lu, C. V. Jawahar
21 teams submit results for Task 1, 23 teams submit results for Task 2, 24 teams submit results for Task 3, and 13 teams submit results for Task 4.
1 code implementation • 17 Dec 2019 • Xin Feng, Lei Wang
At the same time, in order to solve the problem of overfitting in the 61 phoneme recognition model on TIMIT dataset, we propose a new training method.
no code implementations • 2 Dec 2019 • Jianfeng Zhan, Lei Wang, Wanling Gao, Rui Ren
This paper outlines BenchCouncil's view on the challenges, rules, and vision of benchmarking modern workloads like Big Data, AI or machine learning, and Internet Services.
no code implementations • 23 Nov 2019 • Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao
To address the annotation scarcity issue in some cases of semantic segmentation, there have been a few attempts to develop the segmentation model in the few-shot learning paradigm.
1 code implementation • 21 Nov 2019 • Cong Sun, Zhihao Yang, Leilei Su, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang
Furthermore, the Gaussian probability distribution can effectively improve the extraction performance of sentences with overlapping relations in biomedical relation extraction tasks.
no code implementations • 20 Nov 2019 • Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou
This paper provides a comprehensive review of the existing deep learning based HEp-2 cell image classification methods.
no code implementations • 16 Nov 2019 • Wenbin Li, Lei Wang, Xingxing Zhang, Jing Huo, Yang Gao, Jiebo Luo
In this paper, instead of assuming such a distribution consistency, we propose to make this assumption at a task-level in the episodic training paradigm in order to better transfer the defense knowledge.
3 code implementations • IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019 • Chuang Geng, Lei Wang
Previous speech enhancement methods focus on estimating the short-time spectrum of speech signals due to its short-term stability.
Ranked #17 on
Speech Enhancement
on DEMAND
Sound Audio and Speech Processing