Search Results for author: Ning Wang

Found 33 papers, 12 papers with code

Adaptive Graph Convolutional Network Framework for Multidimensional Time Series Prediction

no code implementations8 May 2022 Ning Wang

In the real world, long sequence time-series forecasting (LSTF) is needed in many cases, such as power consumption prediction and air quality prediction. Multi-dimensional long time series model has more strict requirements on the model, which not only needs to effectively capture the accurate long-term dependence between input and output, but also needs to capture the relationship between data of different dimensions. Recent research shows that the Informer model based on Transformer has achieved excellent performance in long time series prediction. However, this model still has some deficiencies in multidimensional prediction, it cannot capture the relationship between different dimensions well.

Time Series Time Series Forecasting +1

M2R2: Missing-Modality Robust emotion Recognition framework with iterative data augmentation

no code implementations5 May 2022 Ning Wang

This paper deals with the utterance-level modalities missing problem with uncertain patterns on emotion recognition in conversation (ERC) task.

Data Augmentation Emotion Recognition in Conversation +2

NAS-FCOS: Efficient Search for Object Detection Architectures

1 code implementation24 Oct 2021 Ning Wang, Yang Gao, Hao Chen, Peng Wang, Zhi Tian, Chunhua Shen, Yanning Zhang

Neural Architecture Search (NAS) has shown great potential in effectively reducing manual effort in network design by automatically discovering optimal architectures.

Neural Architecture Search Object Detection

Spatio-Temporal Interaction Graph Parsing Networks for Human-Object Interaction Recognition

no code implementations19 Aug 2021 Ning Wang, Guangming Zhu, Liang Zhang, Peiyi Shen, Hongsheng Li, Cong Hua

With the effective spatio-temporal relationship modeling, it is possible not only to uncover contextual information in each frame but also to directly capture inter-time dependencies.

Frame Human-Object Interaction Detection

Joint Inductive and Transductive Learning for Video Object Segmentation

1 code implementation ICCV 2021 Yunyao Mao, Ning Wang, Wengang Zhou, Houqiang Li

In this work, we propose to integrate transductive and inductive learning into a unified framework to exploit the complementarity between them for accurate and robust video object segmentation.

Frame Semantic Segmentation +2

Deep Adaptive Arbitrary Polynomial Chaos Expansion: A Mini-data-driven Semi-supervised Method for Uncertainty Quantification

no code implementations22 Jul 2021 Wen Yao, Xiaohu Zheng, Jun Zhang, Ning Wang, Guijian Tang

Based on the adaptive aPC, a semi-supervised deep adaptive arbitrary polynomial chaos expansion (Deep aPCE) method is proposed to reduce the training data cost and improve the surrogate model accuracy.

Dimensionality Reduction

Diff-Net: Image Feature Difference based High-Definition Map Change Detection for Autonomous Driving

no code implementations14 Jul 2021 Lei He, Shengjie Jiang, Xiaoqing Liang, Ning Wang, Shiyu Song

Compared to traditional methods based on object detectors, the essential design in our work is a parallel feature difference calculation structure that infers map changes by comparing features extracted from the camera and rasterized images.

Autonomous Driving Change Detection +2

CAT: Cross-Attention Transformer for One-Shot Object Detection

no code implementations30 Apr 2021 Weidong Lin, Yuyan Deng, Yang Gao, Ning Wang, Jinghao Zhou, Lingqiao Liu, Lei Zhang, Peng Wang

Given a query patch from a novel class, one-shot object detection aims to detect all instances of that class in a target image through the semantic similarity comparison.

One-Shot Object Detection Semantic Similarity +1

Learning Models for Suicide Prediction from Social Media Posts

no code implementations NAACL (CLPsych) 2021 Ning Wang, Fan Luo, Yuvraj Shivtare, Varsha D. Badal, K. P. Subbalakshmi, R. Chandramouli, Ellen Lee

We propose a deep learning architecture and test three other machine learning models to automatically detect individuals that will attempt suicide within (1) 30 days and (2) six months, using their social media post data provided in the CLPsych 2021 shared task.

Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking

1 code implementation CVPR 2021 Ning Wang, Wengang Zhou, Jie Wang, Houqaing Li

In video object tracking, there exist rich temporal contexts among successive frames, which have been largely overlooked in existing trackers.

Frame Video Object Tracking +2

Lattice reconstruction induced multiple ultra-flat bands in twisted bilayer WSe2

no code implementations11 Mar 2021 En Li, Jin-Xin Hu, Xuemeng Feng, Zishu Zhou, Liheng An, Kam Tuen Law, Ning Wang, Nian Lin

Moir\'e superlattices in van der Waals heterostructures provide a tunable platform to study emergent properties that are absent in the natural crystal form.

Mesoscale and Nanoscale Physics

Contrastive Transformation for Self-supervised Correspondence Learning

1 code implementation9 Dec 2020 Ning Wang, Wengang Zhou, Houqiang Li

It is worth mentioning that our method also surpasses the fully-supervised affinity representation (e. g., ResNet) and performs competitively against the recent fully-supervised algorithms designed for the specific tasks (e. g., VOT and VOS).

Frame Self-Supervised Learning +4

Recurrent Feature Reasoning for Image Inpainting

1 code implementation CVPR 2020 Jingyuan Li, Ning Wang, Lefei Zhang, Bo Du, DaCheng Tao

To capture information from distant places in the feature map for RFR, we further develop KCA and incorporate it in RFR.

Image Inpainting SSIM

Explainable Rumor Detection using Inter and Intra-feature Attention Networks

no code implementations21 Jul 2020 Mingxuan Chen, Ning Wang, K. P. Subbalakshmi

With social media becoming ubiquitous, information consumption from this media has also increased.

Explainable CNN-attention Networks (C-Attention Network) for Automated Detection of Alzheimer's Disease

no code implementations25 Jun 2020 Ning Wang, Mingxuan Chen, K. P. Subbalakshmi

In this work, we propose three explainable deep learning architectures to automatically detect patients with Alzheimer`s disease based on their language abilities.

Cascaded Regression Tracking: Towards Online Hard Distractor Discrimination

no code implementations18 Jun 2020 Ning Wang, Wengang Zhou, Qi Tian, Houqiang Li

In the second stage, a discrete sampling based ridge regression is designed to double-check the remaining ambiguous hard samples, which serves as an alternative of fully-connected layers and benefits from the closed-form solver for efficient learning.

Visual Tracking

Personalized Early Stage Alzheimer's Disease Detection: A Case Study of President Reagan's Speeches

no code implementations WS 2020 Ning Wang, Fan Luo, Vishal Peddagangireddy, K. P. Subbalakshmi, R. Chandramouli

In this paper, we show that machine learning-based unsupervised clustering of and anomaly detection with linguistic biomarkers are promising approaches for intuitive visualization and personalized early stage detection of Alzheimer`s disease.

alzheimer's disease detection Anomaly Detection

Local Differential Privacy based Federated Learning for Internet of Things

no code implementations19 Apr 2020 Yang Zhao, Jun Zhao, Mengmeng Yang, Teng Wang, Ning Wang, Lingjuan Lyu, Dusit Niyato, Kwok-Yan Lam

To avoid the privacy threat and reduce the communication cost, in this paper, we propose to integrate federated learning and local differential privacy (LDP) to facilitate the crowdsourcing applications to achieve the machine learning model.

Federated Learning

The Design and Implementation of a Real Time Visual Search System on JD E-commerce Platform

1 code implementation19 Aug 2019 Jie Li, Haifeng Liu, Chuanghua Gui, Jianyu Chen, Zhenyun Ni, Ning Wang

We present the design and implementation of a visual search system for real time image retrieval on JD. com, the world's third largest and China's largest e-commerce site.

Image Retrieval

Real-Time Correlation Tracking via Joint Model Compression and Transfer

1 code implementation23 Jul 2019 Ning Wang, Wengang Zhou, Yibing Song, Chao Ma, Houqiang Li

In the distillation process, we propose a fidelity loss to enable the student network to maintain the representation capability of the teacher network.

Knowledge Distillation Model Compression +3

Collecting and Analyzing Multidimensional Data with Local Differential Privacy

no code implementations28 Jun 2019 Ning Wang, Xiaokui Xiao, Yin Yang, Jun Zhao, Siu Cheung Hui, Hyejin Shin, Junbum Shin, Ge Yu

Motivated by this, we first propose novel LDP mechanisms for collecting a numeric attribute, whose accuracy is at least no worse (and usually better) than existing solutions in terms of worst-case noise variance.

Few-Shot Sequence Labeling with Label Dependency Transfer and Pair-wise Embedding

no code implementations20 Jun 2019 Yutai Hou, Zhihan Zhou, Yijia Liu, Ning Wang, Wanxiang Che, Han Liu, Ting Liu

It calculates emission score with similarity based methods and obtains transition score with a specially designed transfer mechanism.

Few-Shot Learning Named Entity Recognition

Strain engineering of epitaxial oxide heterostructures beyond substrate limitations

no code implementations3 May 2019 Xiong Deng, Chao Chen, Deyang Chen, Xiangbin Cai, Xiaozhe Yin, Chao Xu, Fei Sun, Caiwen Li, Yan Li, Han Xu, Mao Ye, Guo Tian, Zhen Fan, Zhipeng Hou, Minghui Qin, Yu Chen, Zhenlin Luo, Xubing Lu, Guofu Zhou, Lang Chen, Ning Wang, Ye Zhu, Xingsen Gao, Jun-Ming Liu

The limitation of commercially available single-crystal substrates and the lack of continuous strain tunability preclude the ability to take full advantage of strain engineering for further exploring novel properties and exhaustively studying fundamental physics in complex oxides.

Materials Science

Multi-Cue Correlation Filters for Robust Visual Tracking

1 code implementation CVPR 2018 Ning Wang, Wengang Zhou, Qi Tian, Richang Hong, Meng Wang, Houqiang Li

By combining different types of features, our approach constructs multiple experts through Discriminative Correlation Filter (DCF) and each of them tracks the target independently.

Frame Visual Tracking

An Online Universal Classifier for Binary, Multi-class and Multi-label Classification

no code implementations3 Sep 2016 Meng Joo Er, Rajasekar Venkatesan, Ning Wang

Several classifiers are developed for binary, multi-class and multi-label classification problems, but there are no classifiers available in the literature capable of performing all three types of classification.

Classification General Classification +1

A High Speed Multi-label Classifier based on Extreme Learning Machines

no code implementations31 Aug 2016 Meng Joo Er, Rajasekar Venkatesan, Ning Wang

In this paper a high speed neural network classifier based on extreme learning machines for multi-label classification problem is proposed and dis-cussed.

Classification General Classification +2

Cannot find the paper you are looking for? You can Submit a new open access paper.