no code implementations • 23 Oct 2023 • Xing Yang, Jian Zhang, Qijian Chen, Li Wang, Lihui Wang
Moreover, to improve the segmentation performance for tumor boundaries, a multi-level boundary-enhanced segmentation (BS) loss is proposed.
no code implementations • 21 Oct 2023 • Li Wang, Xinyu Zhang, Fachuan Zhao, Chuze Wu, Yichen Wang, Ziying Song, Lei Yang, Jun Li, Huaping Liu
The proposed Fuzzy-NMS module combines the volume and clustering density of candidate bounding boxes, refining them with a fuzzy classification method and optimizing the appropriate suppression thresholds to reduce uncertainty in the NMS process.
no code implementations • 20 Oct 2023 • Li Wang, Lihui Wang, Zixiang Kuai, Lei Tang, Yingfeng Ou, Chen Ye, Yuemin Zhu
To promote the generalization ability of breast tumor segmentation models, as well as to improve the segmentation performance for breast tumors with smaller size, low-contrast amd irregular shape, we propose a progressive dual priori network (PDPNet) to segment breast tumors from dynamic enhanced magnetic resonance images (DCE-MRI) acquired at different sites.
no code implementations • 20 Oct 2023 • Xinyu Zhang, Li Wang, Zhiqiang Jiang, Kun Dai, Tao Xie, Lei Yang, Wenhao Yu, Yang shen, Jun Li
However, these methods only integrate long-range context information among keypoints with a fixed receptive field, which constrains the network from reconciling the importance of features with different receptive fields to realize complete image perception, hence limiting the matching accuracy.
1 code implementation • 11 Oct 2023 • Xinyu Zhang, Li Wang, Jian Chen, Cheng Fang, Lei Yang, Ziying Song, Guangqi Yang, Yichen Wang, Xiaofei Zhang, Jun Li, Zhiwei Li, Qingshan Yang, Zhenlin Zhang, Shuzhi Sam Ge
Compared with commonly used 3D radars, the latest 4D radars have precise vertical resolution and higher point cloud density, making it a highly promising sensor for autonomous driving in complex environmental perception.
no code implementations • 30 Sep 2023 • Lei Yang, Jiaxin Yu, Xinyu Zhang, Jun Li, Li Wang, Yi Huang, Chuang Zhang, Hong Wang, Yiming Li
We discover that most existing monocular 3D object detectors rely on the ego-vehicle prior assumption that the optical axis of the camera is parallel to the ground.
no code implementations • 28 Sep 2023 • Lei Yang, Tao Tang, Jun Li, Peng Chen, Kun Yuan, Li Wang, Yi Huang, Xinyu Zhang, Kaicheng Yu
In essence, we regress the height to the ground to achieve a distance-agnostic formulation to ease the optimization process of camera-only perception methods.
no code implementations • IEEE Journal of Selected Topics in Signal Processing 2023 • Li Wang, Xin Wu, Yi Zhang, Xinyun Zhang, LianmingXu, Zhihua Wu, Aiguo Fei
Specifically, DeepAdaIn-Net encompasses a partition point selection (PPS) module, a high feature compression learning (HFCL) module, a bandwidth-aware feature configuration (BaFC) module, and a feature consistency compensation (FCC) module.
no code implementations • 19 Sep 2023 • Xiaowei Yu, Yao Xue, Lu Zhang, Li Wang, Tianming Liu, Dajiang Zhu
We theoretically prove the enhancement gained from positive noise by reducing the task complexity defined by information entropy and experimentally show the significant performance gain in large image datasets, such as the ImageNet.
no code implementations • 15 Sep 2023 • Wei Jiang, Zhongkai Yi, Li Wang, Hanwei Zhang, Jihai Zhang, Fangquan Lin, Cheng Yang
Aggregating distributed energy resources in power systems significantly increases uncertainties, in particular caused by the fluctuation of renewable energy generation.
no code implementations • 28 Aug 2023 • Ali Mohammad-Djafari, Ning Chu, Li Wang, Liang Yu
However, accounting for the uncertainties, we need first understand the Bayesian Deep Learning and then, we can see how we can use them for inverse problems.
no code implementations • 12 Jul 2023 • Zhuowen Yin, Xinyao Ding, Xin Zhang, Zhengwang Wu, Li Wang, Gang Li
Given evidences of neurodevelopmental abnormalities in ASD infants, we resort to a novel deep learning-based method to extract key features from the inherently scarce, class-imbalanced, and heterogeneous structural MR images for early autism diagnosis.
no code implementations • 20 Jun 2023 • Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens, Shijun Qiu, Guy G. Potter, Mingxia Liu
Besides the encoder, the pretext model also contains two decoders for two auxiliary tasks (i. e., MRI reconstruction and brain tissue segmentation), while the downstream model relies on a predictor for classification.
no code implementations • 18 Jun 2023 • Li Wang, Xing-Lu Gao, Wei-Xing Zhou
Extensive statistical tests confirm the presence of intrinsic multifractality in the maize and barley sub-indices and the absence of intrinsic multifractality in the wheat and rice sub-indices.
no code implementations • 18 May 2023 • Qian Li, Li Wang
We provide an European option pricing formula written in the form of an infinite series of Black Scholes type terms under double Levy jumps model, where both the interest rate and underlying price are driven by Levy process.
no code implementations • CVPR 2023 • Yu-Tao Liu, Li Wang, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Lin Gao
Multi-view shape reconstruction has achieved impressive progresses thanks to the latest advances in neural implicit surface rendering.
1 code implementation • CVPR 2023 • Lei Yang, Kaicheng Yu, Tao Tang, Jun Li, Kun Yuan, Li Wang, Xinyu Zhang, Peng Chen
In essence, instead of predicting the pixel-wise depth, we regress the height to the ground to achieve a distance-agnostic formulation to ease the optimization process of camera-only perception methods.
Ranked #2 on
3D Object Detection
on Rope3D
no code implementations • 2 Mar 2023 • Li Wang, Ying Wah Teh, Mohammed Ali Al-Garadi
This study adopts the proposed method and the evaluation metric to the legal domain.
Extreme Multi-Label Classification
Multi Label Text Classification
+3
no code implementations • 17 Jan 2023 • Xiangyu Qin, Zhiyu Wu, Jinshi Cui, Tingting Zhang, Yanran Li, Jian Luan, Bin Wang, Li Wang
Accordingly, we propose a novel paradigm, i. e., exploring contextual information and dialogue structure information in the fine-tuning step, and adapting the PLM to the ERC task in terms of input text, classification structure, and training strategy.
no code implementations • ICCV 2023 • Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian
However, segmentation on longitudinal data is challenging due to dynamic brain changes across the lifespan.
no code implementations • ICCV 2023 • Tao Xie, Ke Wang, Siyi Lu, Yukun Zhang, Kun Dai, Xiaoyu Li, Jie Xu, Li Wang, Lijun Zhao, Xinyu Zhang, Ruifeng Li
Finally, we propose a sign-based gradient surgery to promote the training of CO-Net, thereby emphasizing the usage of task-shared parameters and guaranteeing that each task can be thoroughly optimized.
1 code implementation • 9 Dec 2022 • Wuzhe Xu, Yulong Lu, Li Wang
Deep operator network (DeepONet) has demonstrated great success in various learning tasks, including learning solution operators of partial differential equations.
no code implementations • 7 Dec 2022 • Chaojin Qing, Li Wang, Lei Dong, Guowei Ling, Jiafan Wang
Specifically, at the user equipment (UE), the pilot for CE is superimposed on the uplink user data to improve the spectral efficiency and energy consumption for IoT systems, and two lightweight networks at the base station (BS) alleviate the computational complexity and processing delay for the CE and symbol detection (SD).
no code implementations • 24 Nov 2022 • Yasaman Abdollahian, Ehsan Tohidi, Martin Kasparick, Li Wang, Ahmet Hasim Gokceoglu, Slawomir Stanczak
Due to the non-convexity of this problem, we propose machine learning-based methods for RA antenna mode selection in both dynamic and static scenarios.
no code implementations • 5 Nov 2022 • Li Wang, Qiang Zhao, Wei Wang
Recently, malevolent user hacking has become a huge problem for real-world companies.
no code implementations • 6 Sep 2022 • Li Wang, Xinyu Zhang, Wenyuan Qin, Xiaoyu Li, Lei Yang, Zhiwei Li, Lei Zhu, Hong Wang, Jun Li, Huaping Liu
As such, we propose a novel camera-LiDAR fusion 3D MOT framework based on the Combined Appearance-Motion Optimization (CAMO-MOT), which uses both camera and LiDAR data and significantly reduces tracking failures caused by occlusion and false detection.
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 • 9 Aug 2022 • Yunzhi Huang, Sahar Ahmad, Luyi Han, Shuai Wang, Zhengwang Wu, Weili Lin, Gang Li, Li Wang, Pew-Thian Yap
In this paper, we propose a deep learning framework to predict missing scans from acquired scans, catering to longitudinal infant studies.
no code implementations • 6 Aug 2022 • Fangzhou Gao, Meng Wang, Lianghao Zhang, Li Wang, Jiawan Zhang
This paper presents a new method for deep uncalibrated photometric stereo, which efficiently utilizes the inter-image representation to guide the normal estimation.
no code implementations • 27 Jul 2022 • Cong Wang, Hongmin Xu, Xiong Zhang, Li Wang, Zhitong Zheng, Haifeng Liu
Vision Transformers (ViTs) have recently dominated a range of computer vision tasks, yet it suffers from low training data efficiency and inferior local semantic representation capability without appropriate inductive bias.
1 code implementation • 10 Jul 2022 • Lei Yang, Xinyu Zhang, Li Wang, Minghan Zhu, Chuang Zhang, Jun Li
Besides, by leveraging full training set and the additional 48K raw images of KITTI, it can further improve the MonoFlex by +4. 65% improvement on AP@0. 7 for car detection, reaching 18. 54% AP@0. 7, which ranks the 1st place among all monocular based methods on KITTI test leaderboard.
no code implementations • 30 May 2022 • Yuhang Wang, Li Wang, Yanjie Yang, Yilin Zhang
Finally, the two EDU representations are incorporated as the enhanced text representation for fake news detection, using a gated recursive unit combined with a global attention mechanism.
1 code implementation • 28 May 2022 • Chaojin Qing, Lei Dong, Li Wang, Guowei Ling, Jiafan Wang
To this end, a novel CE network for the DNSP scheme in OFDM systems is structured, which improves its estimation accuracy and alleviates the model mismatch.
no code implementations • 26 May 2022 • Lu Zhang, Xiaowei Yu, Yanjun Lyu, Zhengwang Wu, Haixing Dai, Lin Zhao, Li Wang, Gang Li, Tianming Liu, Dajiang Zhu
Our experimental results show that: 1) the learned embedding vectors can quantitatively encode the commonality and individuality of cortical folding patterns; 2) with the embeddings we can robustly infer the complicated many-to-many anatomical correspondences among different brains and 3) our model can be successfully transferred to new populations with very limited training samples.
2 code implementations • 11 May 2022 • Yawei Li, Kai Zhang, Radu Timofte, Luc van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu1, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoğlu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gaoand Dengwen Zhouand Qian Ning, Jingzhu Tang, Han Huang, YuFei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Dengwen Zhou, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang
The aim was to design a network for single image super-resolution that achieved improvement of efficiency measured according to several metrics including runtime, parameters, FLOPs, activations, and memory consumption while at least maintaining the PSNR of 29. 00dB on DIV2K validation set.
no code implementations • 31 Mar 2022 • Xuelin Qian, Li Wang, Yi Zhu, Li Zhang, Yanwei Fu, xiangyang xue
Conventional 3D object detection approaches concentrate on bounding boxes representation learning with several parameters, i. e., localization, dimension, and orientation.
no code implementations • 31 Mar 2022 • Li Wang, Rongzhi Gu, Weiji Zhuang, Peng Gao, Yujun Wang, Yuexian Zou
Bearing this in mind, a two-branch deep network (KWS branch and SV branch) with the same network structure is developed and a novel decoupling feature learning method is proposed to push up the performance of KWS and SV simultaneously where speaker-invariant keyword representations and keyword-invariant speaker representations are expected respectively.
no code implementations • 8 Mar 2022 • Yunxiang Li, Ruilong Dan, Shuai Wang, Yifan Cao, Xiangde Luo, Chenghao Tan, Gangyong Jia, Huiyu Zhou, You Zhang, Yaqi Wang, Li Wang
For instance, the model trained on a dataset with specific imaging parameters cannot be well applied to other datasets with different imaging parameters.
1 code implementation • 4 Mar 2022 • Rui Fan, Sicen Guo, Li Wang, Mohammud Junaid Bocus
Road damage is an inconvenience and a safety hazard, severely affecting vehicle condition, driving comfort, and traffic safety.
no code implementations • 22 Feb 2022 • Changjiang Li, Li Wang, Shouling Ji, Xuhong Zhang, Zhaohan Xi, Shanqing Guo, Ting Wang
Facial Liveness Verification (FLV) is widely used for identity authentication in many security-sensitive domains and offered as Platform-as-a-Service (PaaS) by leading cloud vendors.
no code implementations • 22 Feb 2022 • Zhuolin Wu, Li Wang, Fangsheng Huang, Linjun Zhou, Yu Song, Chengpeng Ye, Pengyu Nie, Hao Ren, Jinghua Hao, Renqing He, Zhizhao Sun
The semi-black-box acceptance probability model is employed to forecast the relationship between the bonus allocated to order and its acceptance probability, the Lagrangian dual-based dynamic programming algorithm aims to calculate the empirical Lagrangian multiplier for each allocation stage offline based on the historical data set, and the online allocation algorithm uses the results attained in the offline part to calculate a proper delivery bonus for each order.
no code implementations • NeurIPS 2021 • Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang
As a result, our model can not only improve the recommendation performance of the rating platform by incorporating the sparse social data on the social platform, but also protect data privacy of both platforms.
no code implementations • 10 Feb 2022 • Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang
To this end, PriCDR can not only protect the data privacy of the source domain, but also alleviate the data sparsity of the source domain.
no code implementations • 28 Jan 2022 • Jiawang Nie, Li Wang, Zequn Zheng
This can be formulated as a low rank approximation problem with the higher order correlation tensor of multi-view data.
no code implementations • 24 Jan 2022 • Yang Liu, Mingyuan Fan, Cen Chen, Ximeng Liu, Zhuo Ma, Li Wang, Jianfeng Ma
First, trigger pattern recovery is conducted to extract the trigger patterns infected by the victim model.
no code implementations • 14 Jan 2022 • Li Wang, Yingcong Zhou, Zhiguo Fu
In the present paper, we characterize the implicit regularization of momentum gradient descent (MGD) with early stopping by comparing with the explicit $\ell_2$-regularization (ridge).
no code implementations • 28 Dec 2021 • Zijian Zhou, Li Wang, Zhenya Yan
In this paper, we investigate the forward problems on the data-driven rational solitons for the (2+1)-dimensional KP-I equation and spin-nonlinear Schr\"odinger (spin-NLS) equation via the deep neural networks leaning.
no code implementations • 18 Nov 2021 • Zijian Zhou, Li Wang, Weifang Weng, Zhenya Yan
We introduce a deep neural network learning scheme to learn the B\"acklund transforms (BTs) of soliton evolution equations and an enhanced deep learning scheme for data-driven soliton equation discovery based on the known BTs, respectively.
no code implementations • 16 Nov 2021 • Li Wang, Lilon Wangner
As data volumes continue to grow, searches in data are becoming increasingly time-consuming.
no code implementations • 2 Nov 2021 • Jamie Cui, Cen Chen, Tiandi Ye, Li Wang
Existing work fails to provide a loss-less scheme, or has impractical efficiency.
no code implementations • 28 Oct 2021 • Yunxiang Li, Jingxiong Li, Ruilong Dan, Shuai Wang, Kai Jin, Guodong Zeng, Jun Wang, Xiangji Pan, Qianni Zhang, Huiyu Zhou, Qun Jin, Li Wang, Yaqi Wang
To mitigate this problem, a novel unsupervised domain adaptation (UDA) method named dispensed Transformer network (DTNet) is introduced in this paper.
no code implementations • 26 Oct 2021 • Chaojin Qing, Li Wang, Lei Dong, Jiafan Wang
Reconfigurable intelligent surface (RIS)-assisted orthogonal frequency division multiplexing (OFDM) systems have aroused extensive research interests due to the controllable communication environment and the performance of combating multi-path interference.
no code implementations • 26 Oct 2021 • Chaojin Qing, Lei Dong, Li Wang, Jiafan Wang, Chuan Huang
Data-dependent superimposed training (DDST) scheme has shown the potential to achieve high bandwidth efficiency, while encounters symbol misidentification caused by hardware imperfection.
no code implementations • 9 Oct 2021 • Han Zhu, Li Wang, Jindong Wang, Gaofeng Cheng, Pengyuan Zhang, Yonghong Yan
In this work, in order to build a better pre-trained model for low-resource ASR, we propose a pre-training approach called wav2vec-S, where we use task-specific semi-supervised pre-training to refine the self-supervised pre-trained model for the ASR task thus more effectively utilize the capacity of the pre-trained model to generate task-specific representations for ASR.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
no code implementations • 24 Sep 2021 • Tai-Hsien Wu, Chunfeng Lian, Sanghee Lee, Matthew Pastewait, Christian Piers, Jie Liu, Fang Wang, Li Wang, Chiung-Ying Chiu, Wenchi Wang, Christina Jackson, Wei-Lun Chao, Dinggang Shen, Ching-Chang Ko
Our TS-MDL first adopts an end-to-end \emph{i}MeshSegNet method (i. e., a variant of the existing MeshSegNet with both improved accuracy and efficiency) to label each tooth on the downsampled scan.
1 code implementation • 14 Sep 2021 • Xueyao Zhang, Jinchao Zhang, Yao Qiu, Li Wang, Jie zhou
Experimental results reveal that compared to the existing methods, HAT owns a much better understanding of the structure and it can also improve the quality of generated music, especially in the form and texture.
1 code implementation • ICLR 2022 • Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang
Discrete-continuous hybrid action space is a natural setting in many practical problems, such as robot control and game AI.
1 code implementation • NeurIPS 2021 • Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, xiangyang xue
Recognizing and localizing objects in the 3D space is a crucial ability for an AI agent to perceive its surrounding environment.
no code implementations • 12 Aug 2021 • Li Wang, Rongzhi Gu, Nuo Chen, Yuexian Zou
Recently proposed metric learning approaches improved the generalizability of models for the KWS task, and 1D-CNN based KWS models have achieved the state-of-the-arts (SOTA) in terms of model size.
no code implementations • 24 Jun 2021 • Yuchen Li, Yifan Bao, Liyao Xiang, Junhan Liu, Cen Chen, Li Wang, Xinbing Wang
Federated learning is emerging as a machine learning technique that trains a model across multiple decentralized parties.
no code implementations • 22 Jun 2021 • Miao Zhang, Wei Huang, Li Wang
We investigate this question through the lens of edge connectivity, and provide an affirmative answer by defining a connectivity concept, ZERo-cost Operation Sensitivity (ZEROS), to score the importance of candidate operations in DARTS at initialization.
no code implementations • 14 Jun 2021 • Lu Zhang, Xiaowei Yu, Yanjun Lyu, Li Wang, Dajiang Zhu
By mapping the learned clinical group related feature vectors to the original FC space, representative FCs were constructed for each group.
no code implementations • 20 May 2021 • Li Wang, Wei Xiang, Ruhui Xue, Kaida Zou, Laili Zhu
In order to solve the above problems, Experiments show that our model has a certain improvement in accuracy compared with the current popular detection models on the COCO dataset, the designed attention mechanism module can capture contextual information well, improve detection accuracy, and use sepc network to help balance abstract and detailed information, and reduce the problem of semantic gap in the feature pyramid network.
no code implementations • 11 May 2021 • Li Wang
Instead, approximated index structures offer a good opportunity to significantly accelerate the neighbor search for clustering and outlier detection and to have the lowest possible error rate in the results of the algorithms.
1 code implementation • 1 May 2021 • Lei Yang, Xinyu Zhang, Li Wang, Minghan Zhu, Jun Li
3D object detection with a single image is an essential and challenging task for autonomous driving.
no code implementations • 29 Apr 2021 • Shuang Zhang, Liyao Xiang, Xi Yu, Pengzhi Chu, Yingqi Chen, Chen Cen, Li Wang
Real-world data is usually segmented by attributes and distributed across different parties.
1 code implementation • CVPR 2021 • Li Wang, Liang Du, Xiaoqing Ye, Yanwei Fu, Guodong Guo, xiangyang xue, Jianfeng Feng, Li Zhang
The objective of this paper is to learn context- and depth-aware feature representation to solve the problem of monocular 3D object detection.
Ranked #11 on
Monocular 3D Object Detection
on KITTI Cars Moderate
no code implementations • 21 Mar 2021 • Li Wang, Dong Li, Han Liu, Jinzhang Peng, Lu Tian, Yi Shan
Our goal is to train a unified model for improving the performance in each dataset by leveraging information from all the datasets.
no code implementations • 20 Mar 2021 • Li Wang, Steven Su
We empirically validate the effectiveness of the proposed method on two commonly used low-cost gyroscope and achieve real-time calibration on a low-energy microcontroller.
2 code implementations • 15 Mar 2021 • Li Wang, Chenfei Wang, Xinyu Zhang, Tianwei Lan, Jun Li
3D object detection plays a crucial role in environmental perception for autonomous vehicles, which is the prerequisite of decision and control.
no code implementations • 2 Mar 2021 • Li Wang
Modern multi-core processors consist of several (2 to over 100) computer cores, which work independently of each other according to the principle of "multiple instruction multiple data" (MIMD).
no code implementations • 13 Feb 2021 • Lu Zhang, Li Wang, Tianming Liu, Dajiang Zhu
By disease em-bedding, the framework generates a disease embedding tree (DETree) which effectively represents different clinical stages as a tree trajectory reflecting AD progression and thus can be used to predict clinical status by projecting individuals onto this continuous trajectory.
no code implementations • 27 Jan 2021 • Xin Liu, Kwok-Yan Lam, Feng Li, Jun Zhao, Li Wang
ISTCN aims to provide high speed and pervasive network services by integrating broadband terrestrial mobile networks with satellite communication networks.
no code implementations • 12 Jan 2021 • Li Wang, Zhenya Yan
In the field of mathematical physics, there exist many physically interesting nonlinear dispersive equations with peakon solutions, which are solitary waves with discontinuous first-order derivative at the wave peak.
no code implementations • 12 Jan 2021 • Li Wang, Lei-Hong Zhang, Ren-cang Li
A trace ratio optimization problem over the Stiefel manifold is investigated from the perspectives of both theory and numerical computations.
no code implementations • 18 Dec 2020 • Li Wang, Zhenya Yan
Moreover, the multi-layer PINN algorithm can also be used to learn the parameter in the defocusing NLS equation with the time-dependent potential under the sense of the rogue wave solution.
no code implementations • 17 Dec 2020 • Jun Zhou, Longfei Zheng, Chaochao Chen, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin
In this paper, we propose SPNN - a Scalable and Privacy-preserving deep Neural Network learning framework, from algorithmic-cryptographic co-perspective.
no code implementations • 9 Dec 2020 • Haiyun Jiang, Qiaoben Bao, Qiao Cheng, Deqing Yang, Li Wang, Yanghua Xiao
In recent years, many complex relation extraction tasks, i. e., the variants of simple binary relation extraction, are proposed to meet the complex applications in practice.
no code implementations • 6 Dec 2020 • Rui Fan, Li Wang, Mohammud Junaid Bocus, Ioannis Pitas
As an important component of autonomous systems, autonomous car perception has had a big leap with recent advances in parallel computing architectures.
no code implementations • 23 Nov 2020 • Yilun Lin, Chaochao Chen, Cen Chen, Li Wang
Federated learning (FL) has attracted increasing attention in recent years.
no code implementations • 22 Nov 2020 • Li Wang, Lei-Hong Zhang, Chungen Shen, Ren-cang Li
However, unpaired data can be more abundant in reality than paired ones and simply ignoring all unpaired data incur tremendous waste in resources.
no code implementations • 20 Nov 2020 • Chaochao Chen, Jamie Cui, Guanfeng Liu, Jia Wu, Li Wang
In this paper, to fill this gap, we summarize the open problems for privacy preserving KG in data isolation setting and propose possible solutions for them.
no code implementations • 14 Nov 2020 • Huiwen Wu, Cen Chen, Li Wang
In the era of big data, the need to expand the amount of data through data sharing to improve model performance has become increasingly compelling.
no code implementations • 6 Nov 2020 • Longfei Zheng, Jun Zhou, Chaochao Chen, Bingzhe Wu, Li Wang, Benyu Zhang
Specifically, to solve the data Non-IID problem, we first propose a separated-federated GNN learning model, which decouples the training of GNN into two parts: the message passing part that is done by clients separately, and the loss computing part that is learnt by clients federally.
1 code implementation • Knowledge-Based Systems 2020 • Lin Liu, Li Wang, Tao Lian
In CaSe4SR, we build an item graph and a category graph, from user behavior sequence and item category sequence.
1 code implementation • 5 Nov 2020 • Han Zhu, Jiangjiang Zhao, Yuling Ren, Li Wang, Pengyuan Zhang
Then, for each class, probabilities of this class are used to compute a mean vector, which we refer to as mean soft labels.
no code implementations • 5 Nov 2020 • Han Zhu, Li Wang, Pengyuan Zhang, Yonghong Yan
To jointly train the acoustic model and the accent classifier, we propose the multi-task learning with gate mechanism (MTL-G).
no code implementations • NeurIPS 2021 • Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang
We study Policy-extended Value Function Approximator (PeVFA) in Reinforcement Learning (RL), which extends conventional value function approximator (VFA) to take as input not only the state (and action) but also an explicit policy representation.
no code implementations • 4 Oct 2020 • Li Wang, Leihong Zhang, Chungen Shen, Ren-cang Li
We propose a unified framework for multi-view subspace learning to learn individual orthogonal projections for all views.
1 code implementation • Expert Systems with Applications 2020 • Yuhang Wang, Li Wang, Yanjie Yang, Tao Lian
In this paper, we propose a novel graph-based neural network model named SemSeq4FD for early fake news detection based on enhanced text representations.
no code implementations • 24 Sep 2020 • Bin Zhang, Cen Chen, Li Wang
The success of machine learning algorithms often relies on a large amount of high-quality data to train well-performed models.
no code implementations • 4 Sep 2020 • Cen Chen, Bingzhe Wu, Minghui Qiu, Li Wang, Jun Zhou
To the best of our knowledge, our study is the first to provide a thorough analysis of the information leakage issues in deep transfer learning methods and provide potential solutions to the issue.
no code implementations • Security and Communication Networks 2020 • Fangchao Yu, Li Wang, Xianjin Fang, and Youwen Zhang
The generator is used to eliminate adversarial perturbations in the input.
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 • 9 Jul 2020 • Li Wang, Ren-cang Li, Wen-Wei
Building on the least squares reformulation of OPLS, we propose a unified multi-view learning framework to learn a classifier over a common latent space shared by all views.
no code implementations • 4 Jul 2020 • Yue Sun, Kun Gao, Zhengwang Wu, Zhihao Lei, Ying WEI, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Gang Li, Dinggang Shen, Li Wang
Deep learning-based methods have achieved state-of-the-art performance; however, one of major limitations is that the learning-based methods may suffer from the multi-site issue, that is, the models trained on a dataset from one site may not be applicable to the datasets acquired from other sites with different imaging protocols/scanners.
1 code implementation • CVPR 2020 • Li Wang, Dong Li, Yousong Zhu, Lu Tian, Yi Shan
Specifically, for semantic segmentation on CityScapes, we can achieve \geq2% higher mIoU with similar FLOPs, and keep the performance with 70% FLOPs.
no code implementations • 25 May 2020 • Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng
Recently, Graph Neural Network (GNN) has achieved remarkable progresses in various real-world tasks on graph data, consisting of node features and the adjacent information between different nodes.
1 code implementation • 25 May 2020 • Hok Shing Wong, Li Wang, Raymond Chan, Tieyong Zeng
We present Deep Tensor Canonical Correlation Analysis (DTCCA), a method to learn complex nonlinear transformations of multiple views (more than two) of data such that the resulting representations are linearly correlated in high order.
1 code implementation • 19 May 2020 • Dongming Wei, Sahar Ahmad, Yunzhi Huang, Lei Ma, Zhengwang Wu, Gang Li, Li Wang, Qian Wang, Pew-Thian Yap, Dinggang Shen
Deformable image registration is fundamental to longitudinal and population analysis.
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 • 6 May 2020 • Li Wang, Dawei Zhao, Tao Wu, Hao Fu, Zhiyu Wang, Liang Xiao, Xin Xu, Bin Dai
3D moving object detection is one of the most critical tasks in dynamic scene analysis.
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 • 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 • 5 Mar 2020 • Chaochao Chen, Jun Zhou, Bingzhe Wu, Wenjin Fang, Li Wang, Yuan Qi, Xiaolin Zheng
Meanwhile, the public data need to be accessed by all the users are kept by the recommender to reduce the storage costs of users' devices.
no code implementations • 5 Mar 2020 • Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Xiukun Wang, Jun Zhou, Yang Shuang, Yuan Qi
The insurance industry has been creating innovative products around the emerging online shopping activities.
no code implementations • 27 Feb 2020 • Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, Kenny Q. Zhu
Secure online transaction is an essential task for e-commerce platforms.
no code implementations • 6 Feb 2020 • Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou
It is well known that social information, which is rich on social platforms such as Facebook, are useful to recommender systems.
no code implementations • 6 Feb 2020 • Yingting Liu, Chaochao Chen, Longfei Zheng, Li Wang, Jun Zhou, Guiquan Liu, Shuang Yang
In this paper, we present a general multiparty modeling paradigm with Privacy Preserving Principal Component Analysis (PPPCA) for horizontally partitioned data.
no code implementations • 15 Jan 2020 • Li Wang, Zechen Bai, Yonghua Zhang, Hongtao Lu
SG and RWS are de-signed for the best use of recalled words.
no code implementations • 4 Dec 2019 • Zitong Wang, Li Wang, Raymond Chan, Tieyong Zeng
A novel approach is then proposed to construct the graph of the input data from the learned graph of a small number of vertexes with some preferred properties.
no code implementations • 14 Nov 2019 • Yizhen Dong, Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jin Song Dong, Dai Ting
In this work, we conduct an empirical study to evaluate the relationship between coverage, robustness and attack/defense metrics for DNN.
no code implementations • 22 Oct 2019 • Yuanxin Zhu, Zhao Yang, Li Wang, Sai Zhao, Xiao Hu, Dapeng Tao
With the joint supervision of Cross-Entropy (CE) loss and HC loss, the network is trained to achieve two vital objectives, inter-class discrepancy and intra-class cross-modality similarity as much as possible.
Cross-Modality Person Re-identification
Person Re-Identification
no code implementations • 14 Oct 2019 • Li Wang, Zixun Sun, Wentao Yao, Hui Zhan, Chengwei Zhu
With the increasing popularity of E-sport live, Highlight Flashback has been a critical functionality of live platforms, which aggregates the overall exciting fighting scenes in a few seconds.
no code implementations • 5 Oct 2019 • Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan YAO, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou
Based on this framework, we demonstrate that SGLD can prevent the information leakage of the training dataset to a certain extent.
no code implementations • 25 Sep 2019 • Leihong Zhang, Li Wang, Zhaojun Bai, Ren-cang Li
In this paper, we propose an alternating numerical scheme whose core is the sub-maximization problem in the trace-fractional form with an orthogonal constraint.
no code implementations • NeurIPS 2019 • Bingzhe Wu, Shiwan Zhao, Chaochao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou
In this paper, we aim to understand the generalization properties of generative adversarial networks (GANs) from a new perspective of privacy protection.
no code implementations • 5 Jun 2019 • Feng Liu, Li Wang, Yifei Lou, Ren-cang Li, Patrick Purdon
Traditional EEG/MEG Source Imaging (ESI) methods usually assume that either source activity at different time points is unrelated, or that similar spatiotemporal patterns exist across an entire study period.
no code implementations • 27 May 2019 • Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, Li Wang
Value functions are crucial for model-free Reinforcement Learning (RL) to obtain a policy implicitly or guide the policy updates.
no code implementations • 23 May 2019 • Qijian Chen, Lihui Wang, Li Wang, Zeyu Deng, Jian Zhang, Yuemin Zhu
Glioma grading before surgery is very critical for the prognosis prediction and treatment plan making.
no code implementations • 23 May 2019 • Li Wang, Lihui Wang, Qijian Chen, Caixia Sun, Xinyu Cheng, Yue-Min Zhu
We proposed a novel convolutional restricted Boltzmann machine CRBM-based radiomic method for predicting pathologic complete response (pCR) to neoadjuvant chemotherapy treatment (NACT) in breast cancer.
no code implementations • 1 May 2019 • Yu Zhang, Li Wang
We formulate this language construction problem and show that it is NEXP-complete.
no code implementations • 25 Apr 2019 • Li Wang, Lei Zhu, En Yu, Jiande Sun, Huaxiang Zhang
Deep hashing has recently received attention in cross-modal retrieval for its impressive advantages.
no code implementations • 24 Apr 2019 • Xuetong Niu, Li Wang, Xulei Yang
In this study, we perform a comparison study of credit card fraud detection by using various supervised and unsupervised approaches.
2 code implementations • CVPR 2019 • Jianchao Wu, Li-Min Wang, Li Wang, Jie Guo, Gangshan Wu
To this end, we propose to build a flexible and efficient Actor Relation Graph (ARG) to simultaneously capture the appearance and position relation between actors.
Ranked #3 on
Group Activity Recognition
on Collective Activity
no code implementations • 20 Apr 2019 • Huijiao Wang, Li Wang, Xulei Yang, Lei Yu, Haijian Zhang
VIS-NIR face recognition remains a challenging task due to the distinction between spectral components of two modalities and insufficient paired training data.
1 code implementation • 18 Apr 2019 • Rui Fan, Mohammud Junaid Bocus, Yilong Zhu, Jianhao Jiao, Li Wang, Fulong Ma, Shanshan Cheng, Ming Liu
In this paper, we propose a novel road crack detection algorithm based on deep learning and adaptive image segmentation.
no code implementations • 11 Apr 2019 • Qian Zhang, Li Wang, Xiaopeng Zong, Weili Lin, Gang Li, Dinggang Shen
Skull stripping for brain MR images is a basic segmentation task.
no code implementations • 1 Apr 2019 • Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Dingna Duan, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li
In this paper, by leveraging the regular and consistent geometric structure of the resampled cortical surface mapped onto the spherical space, we propose a novel convolution filter analogous to the standard convolution on the image grid.
1 code implementation • 25 Mar 2019 • Li Wang, Yongbo Li, xiangyang xue
Extensive experiments demonstrate that our network produces much better results on unseen datasets compared with existing counting adaption models.
no code implementations • 19 Mar 2019 • Rong Jin, David Simchi-Levi, Li Wang, Xinshang Wang, Sen Yang
In this paper, we study algorithms for dynamically identifying a large number of products (i. e., SKUs) with top customer purchase probabilities on the fly, from an ocean of potential products to offer on retailers' ultra-fast delivery platforms.
no code implementations • 25 Sep 2018 • Hongyao Tang, Jianye Hao, Tangjie Lv, Yingfeng Chen, Zongzhang Zhang, Hangtian Jia, Chunxu Ren, Yan Zheng, Zhaopeng Meng, Changjie Fan, Li Wang
Besides, we propose a new experience replay mechanism to alleviate the issue of the sparse transitions at the high level of abstraction and the non-stationarity of multiagent learning.
no code implementations • 26 Jun 2018 • Li Wang, Weiyuan Shao, Yao Lu, Hao Ye, Jian Pu, Yingbin Zheng
Crowd counting is one of the core tasks in various surveillance applications.
no code implementations • 16 May 2018 • Xiaodan Song, Jiabao Yao, Lulu Zhou, Li Wang, Xiaoyang Wu, Di Xie, ShiLiang Pu
It aims to design a single CNN model with low redundancy to adapt to decoded frames with different qualities and ensure consistency.
Multimedia
no code implementations • 13 May 2018 • Hongyao Tang, Li Wang, Zan Wang, Tim Baarslag, Jianye Hao
Multiagent coordination in cooperative multiagent systems (MASs) has been widely studied in both fixed-agent repeated interaction setting and the static social learning framework.
no code implementations • 9 May 2018 • Li Wang, Junlin Yao, Yunzhe Tao, Li Zhong, Wei Liu, Qiang Du
In this paper, we propose a deep learning approach to tackle the automatic summarization tasks by incorporating topic information into the convolutional sequence-to-sequence (ConvS2S) model and using self-critical sequence training (SCST) for optimization.
Ranked #6 on
Text Summarization
on DUC 2004 Task 1
no code implementations • 28 Apr 2018 • Xiaohuan Cao, Jianhua Yang, Li Wang, Zhong Xue, Qian Wang, Dinggang Shen
In this paper, we propose to train a non-rigid inter-modality image registration network, which can directly predict the transformation field from the input multimodal images, such as CT and MR images.
1 code implementation • IEEE Transactions on Biomedical Engineering 2018 • Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, and Dinggang Shen, Fellow, IEEE
To better model a nonlinear mapping from source to target and to produce more realistic target images, we propose to use the adversarial learning strategy to better model the FCN.
no code implementations • 27 Feb 2018 • Li Wang, Chaochao Chen, Jun Zhou, Xiaolong Li
With the fast development of Internet companies throughout the world, customer churn has become a serious concern.
no code implementations • 10 Feb 2018 • Benyou Wang, Li Wang, Qikang Wei, Lichun Liu
Text representation is a fundamental concern in Natural Language Processing, especially in text classification.
no code implementations • 29 Jan 2018 • Motoya Ohnishi, Li Wang, Gennaro Notomista, Magnus Egerstedt
This paper presents a safe learning framework that employs an adaptive model learning algorithm together with barrier certificates for systems with possibly nonstationary agent dynamics.
no code implementations • 6 Jan 2018 • Li Wang, Ting Liu, Bing Wang, Xulei Yang, Gang Wang
First, we learn RNN parameters to discriminate between the target object and background in the first frame of a test sequence.
1 code implementation • 14 Dec 2017 • Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed
We report evaluations of our method on the public data of the MICCAI iSEG-2017 Challenge on 6-month infant brain MRI segmentation, and show very competitive results among 21 teams, ranking first or second in most metrics.
Ranked #1 on
Infant Brain Mri Segmentation
on iSEG 2017 Challenge
no code implementations • 16 Oct 2017 • Li Wang, Evangelos A. Theodorou, Magnus Egerstedt
The barrier certificates establish a non-conservative forward invariant safe region, in which high probability safety guarantees are provided based on the statistics of the Gaussian Process.
4 code implementations • 3 Mar 2017 • Jianqi Ma, Weiyuan Shao, Hao Ye, Li Wang, Hong Wang, Yingbin Zheng, xiangyang xue
This paper introduces a novel rotation-based framework for arbitrary-oriented text detection in natural scene images.
no code implementations • 1 Feb 2017 • Li Wang, Yao Lu, Hong Wang, Yingbin Zheng, Hao Ye, xiangyang xue
We perform fast vehicle detection from traffic surveillance cameras.
no code implementations • 19 Nov 2016 • Yanbin Wu, Li Wang, Fan Cui, Hongbin Zhai, Baoming Dong, Jim Jing-Yan Wang
A novel data representation method of convolutional neural net- work (CNN) is proposed in this paper to represent data of different modalities.
no code implementations • 16 Oct 2016 • Li Wang
Based on this framework, we present a new model, which is able to learn a smooth skeleton of embedding points in a low-dimensional space from high-dimensional noisy data.
no code implementations • 15 May 2016 • Bing Wang, Li Wang, Bing Shuai, Zhen Zuo, Ting Liu, Kap Luk Chan, Gang Wang
Then the Siamese CNN and temporally constrained metrics are jointly learned online to construct the appearance-based tracklet affinity models.
no code implementations • 6 Jan 2016 • Benjamin Allain, Li Wang, Jean-Sebastien Franco, Franck Hetroy, Edmond Boyer
Instead of using the dominant surface-based geometric representation of the capture, which is less suitable for volumetric effects, our pipeline exploits Centroidal Voronoi tessellation decompositions as unified volumetric representation of the real captured actor, which we show can be used seamlessly as a building block for all processing stages, from capture and tracking to virtual physic simulation.
no code implementations • 22 Dec 2015 • Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Li Wang, Gang Wang, Jianfei Cai, Tsuhan Chen
In the last few years, deep learning has led to very good performance on a variety of problems, such as visual recognition, speech recognition and natural language processing.
no code implementations • 10 Dec 2015 • Li Wang, Dennis Sng
Deep learning has recently achieved very promising results in a wide range of areas such as computer vision, speech recognition and natural language processing.
no code implementations • 9 Dec 2015 • Qi Mao, Li Wang, Ivor W. Tsang, Yijun Sun
As showcases, models that can learn a spanning tree or a weighted undirected $\ell_1$ graph are proposed, and a new learning algorithm is developed that learns a set of principal points and a graph structure from data, simultaneously.
no code implementations • 25 Nov 2015 • Li Wang, Ting Liu, Gang Wang, Kap Luk Chan, Qingxiong Yang
The adaptation is conducted in both layers of the deep feature learning module so as to include appearance information of the specific target object.
no code implementations • 20 Nov 2015 • Bing Wang, Gang Wang, Kap Luk Chan, Li Wang
In this paper, we present a novel method based on online target-specific metric learning and coherent dynamics estimation for tracklet (track fragment) association by network flow optimization in long-term multi-person tracking.
no code implementations • CVPR 2014 • Bing Wang, Gang Wang, Kap Luk Chan, Li Wang
In our method, target-specific similarity metrics are learned, which give rise to the appearance-based models used in the tracklet affinity estimation.
no code implementations • 12 Sep 2013 • Li Wang, Jie Shao, Yaqin Zhong, Weisong Zhao, Reza Malekian
In Class-D Power Amplifiers (CDPAs), the power supply noise can intermodulate with the input signal, manifesting into power-supply induced intermodulation distortion (PS-IMD) and due to the memory effects of the system, there exist asymmetries in the PS-IMDs.
no code implementations • 20 Feb 2013 • Mingkui Tan, Ivor W. Tsang, Li Wang
Matching Pursuit LASSIn Part I \cite{TanPMLPart1}, a Matching Pursuit LASSO ({MPL}) algorithm has been presented for solving large-scale sparse recovery (SR) problems.
no code implementations • 24 Sep 2012 • Mingkui Tan, Ivor W. Tsang, Li Wang
In this paper, we present a new adaptive feature scaling scheme for ultrahigh-dimensional feature selection on Big Data.