Search Results for author: Bin Wu

Found 23 papers, 8 papers with code

SplitGNN: Spectral Graph Neural Network for Fraud Detection against Heterophily

2 code implementations CIKM 2023 Bin Wu, Xinyu Yao, Boyan Zhang, Kuo-Ming Chao, Yinsheng Li

However, researches on addressing the heterophily problem in the spectral domain are still limited due to a lack of understanding of spectral energy distribution in graphs with heterophily.

Fraud Detection Node Classification

Query-aware Long Video Localization and Relation Discrimination for Deep Video Understanding

no code implementations19 Oct 2023 Yuanxing Xu, Yuting Wei, Bin Wu

This model adeptly selects frames pertinent to queries, obviating the need for a complete movie-level knowledge graph.

Video Understanding

Graph Sampling-based Meta-Learning for Molecular Property Prediction

1 code implementation29 Jun 2023 Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen

To effectively utilize many-to-many correlations of molecules and properties, we propose a Graph Sampling-based Meta-learning (GS-Meta) framework for few-shot molecular property prediction.

Graph Sampling Meta-Learning +2

OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting

1 code implementation4 Apr 2023 Xiao He, Ye Li, Jian Tan, Bin Wu, Feifei Li

Extensive experiments on real-world benchmark datasets for downstream time series anomaly detection and forecasting tasks demonstrate that OneShotSTL is from 10 to over 1, 000 times faster than the state-of-the-art methods, while still providing comparable or even better accuracy.

Anomaly Detection Time Series +1

Cross-modal information fusion for voice spoofing detection

1 code implementation journal 2023 Junxiao Xue, Hao Zhou, Huawei Song, Bin Wu, Lei Shi

Researchers have proposed many methods to defend against these attacks, but in the existing methods, researchers just focus on speech features.

Automatic Speech Recognition fake voice detection +3

General non-linear imitation leads to limit cycles in eco-evolutionary dynamics

no code implementations19 Oct 2022 YuAn Liu, Lixuan Cao, Bin Wu

We extrapolate from the linear imitation function to general imitation function, which can be non-linear.

MDAN: Multi-level Dependent Attention Network for Visual Emotion Analysis

no code implementations CVPR 2022 Liwen Xu, Zhengtao Wang, Bin Wu, Simon Lui

Existing deep approaches try to bridge the gap by directly learning discrimination among emotions globally in one shot without considering the hierarchical relationship among emotions at different affective levels and the affective level of emotions to be classified.

Emotion Recognition

Relation-aware Hierarchical Attention Framework for Video Question Answering

1 code implementation13 May 2021 Fangtao Li, Ting Bai, Chenyu Cao, Zihe Liu, Chenghao Yan, Bin Wu

Video Question Answering (VideoQA) is a challenging video understanding task since it requires a deep understanding of both question and video.

Question Answering Video Question Answering +1

Factorization and transverse phase-space parton distributions

no code implementations25 Feb 2021 Bin Wu

By modelling non-perturbative modes in thickness beam functions of large nuclei in heavy-ion collisions, the factorization formula confirms the cross section in the Glauber model for hard processes.

High Energy Physics - Phenomenology High Energy Physics - Experiment Nuclear Experiment Nuclear Theory

Frame Aggregation and Multi-Modal Fusion Framework for Video-Based Person Recognition

no code implementations19 Oct 2020 Fangtao Li, Wenzhe Wang, Zihe Liu, Haoran Wang, Chenghao Yan, Bin Wu

To tackle the challenges above, we propose a novel Frame Aggregation and Multi-Modal Fusion (FAMF) framework for video-based person recognition, which aggregates face features and incorporates them with multi-modal information to identify persons in videos.

Person Recognition

Sparse-data based 3D surface reconstruction with vector matching

no code implementations28 Sep 2020 Bin Wu, Xue-Cheng Tai, Talal Rahman

Three dimensional surface reconstruction based on two dimensional sparse information in the form of only a small number of level lines of the surface with moderately complex structures, containing both structured and unstructured geometries, is considered in this paper.

Surface Reconstruction

Iterative regularization algorithms for image denoising with the TV-Stokes model

no code implementations24 Sep 2020 Bin Wu, Leszek Marcinkowski, Xue-Cheng Tai, Talal Rahman

We propose a set of iterative regularization algorithms for the TV-Stokes model to restore images from noisy images with Gaussian noise.

Image Denoising Image Reconstruction

Multidimensional TV-Stokes for image processing

no code implementations24 Sep 2020 Bin Wu, Xue-Cheng Tai, Talal Rahman

A complete multidimential TV-Stokes model is proposed based on smoothing a gradient field in the first step and reconstruction of the multidimensional image from the gradient field.


DeepRec: An Open-source Toolkit for Deep Learning based Recommendation

4 code implementations25 May 2019 Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun

In this toolkit, we have implemented a number of deep learning based recommendation algorithms using Python and the widely used deep learning package - Tensorflow.

Sequential Recommendation

Flow in AA and pA as an interplay of fluid-like and non-fluid like excitations

1 code implementation13 May 2019 Aleksi Kurkela, Urs Achim Wiedemann, Bin Wu

To study the microscopic structure of quark-gluon plasma, data from hadronic collisions must be confronted with models that go beyond fluid dynamics.

High Energy Physics - Phenomenology High Energy Physics - Experiment Nuclear Experiment Nuclear Theory

Low-cost Measurement of Industrial Shock Signals via Deep Learning Calibration

no code implementations7 Feb 2019 Houpu Yao, Jingjing Wen, Yi Ren, Bin Wu, Ze Ji

The results show that the proposed network is capable to map low-end shock signals to its high-end counterparts with satisfactory accuracy.

Hierarchical Macro Strategy Model for MOBA Game AI

no code implementations19 Dec 2018 Bin Wu, Qiang Fu, Jing Liang, Peng Qu, Xiaoqian Li, Liang Wang, Wei Liu, Wei Yang, Yongsheng Liu

In this paper, we propose a novel learning-based Hierarchical Macro Strategy model for mastering MOBA games, a sub-genre of RTS games.

Gated Attentive-Autoencoder for Content-Aware Recommendation

1 code implementation7 Dec 2018 Chen Ma, Peng Kang, Bin Wu, Qinglong Wang, Xue Liu

In particular, a word-level and a neighbor-level attention module are integrated with the autoencoder.

Product Recommendation Recommendation Systems

Deep Meta-Learning: Learning to Learn in the Concept Space

no code implementations10 Feb 2018 Fengwei Zhou, Bin Wu, Zhenguo Li

Few-shot learning remains challenging for meta-learning that learns a learning algorithm (meta-learner) from many related tasks.

Few-Shot Learning

HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks

no code implementations28 Sep 2013 Chuan Shi, Xiangnan Kong, Yue Huang, Philip S. Yu, Bin Wu

Similarity search is an important function in many applications, which usually focuses on measuring the similarity between objects with the same type.

Correlative Multi-Label Multi-Instance Image Annotation

no code implementations IEEE International Conference on Computer Vision 2011 Xiangyang Xue, Wei zhang, Jie Zhang, Bin Wu, Jianping Fan, Yao Lu

The cross-level label coherence en-codes the consistency between the labels at the image leveland the labels at the region level.

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