Haoyan Xu

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 20

Top Topics

Object Recognition

Graph Embedding

Similarity Computation

Top Venues

Neural Networks

Publications

Xiaolong Xu, Haoyan Xu, Liying Wang, Yuanyuan Zhang, Fu Xiao
Hygeia: A Multilabel Deep Learning-Based Classification Method for Imbalanced Electrocardiogram Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (4) (2023)
Ziheng Duan, Haoyan Xu, Yueyang Wang, Yida Huang, Anni Ren, Zhongbin Xu, Yizhou Sun, Wei Wang
Multivariate time-series classification with hierarchical variational graph pooling. Neural Networks 154 (2022)
Yueyang Wang, Ziheng Duan, Yida Huang, Haoyan Xu, Jie Feng, Anni Ren
MTHetGNN: A heterogeneous graph embedding framework for multivariate time series forecasting. Pattern Recognit. Lett. 153 (2022)
Haoyan Xu, Ziheng Duan, Yueyang Wang, Jie Feng, Runjian Chen, Qianru Zhang, Zhongbin Xu
Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation. Neurocomputing 439 (2021)
Xiaolong Xu, Haoyan Xu, Yang Wang, Jing Zhang
AENEA: A novel autoencoder-based network embedding algorithm. Peer-to-Peer Netw. Appl. 14 (3) (2021)
Haoyan Xu, Xiaolong Xu, Fu Xiao
Dubhe: a deep-learning-based B5G coverage analysis method. EURASIP J. Adv. Signal Process. 2021 (1) (2021)
Haoyan Xu, Yida Huang, Ziheng Duan, Jie Feng, Pengyu Song
Multivariate Time Series Forecasting Based on Causal Inference with Transfer Entropy and Graph Neural Network. CoRR (2020)
Callie Federer, Haoyan Xu, Alona Fyshe, Joel Zylberberg
Improved object recognition using neural networks trained to mimic the brain's statistical properties. Neural Networks 131 (2020)
Haoyan Xu, Ziheng Duan, Jie Feng, Runjian Chen, Yida Huang, Yueyang Wang
Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation. CoRR (2020)
Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding. CoRR (2020)
Haoyan Xu, Ziheng Duan, Yida Huang, Jie Feng, Anni Ren, Qianru Zhang, Pengyu Song, Xiaoqian Wang
Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting. CoRR (2020)
Haoyan Xu, Runjian Chen, Yunsheng Bai, Jie Feng, Ziheng Duan, Ke Luo, Yizhou Sun, Wei Wang
Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning. CoRR (2020)
Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding. KDD (2020)
Yida Huang, Haoyan Xu, Ziheng Duan, Anni Ren, Jie Feng, Qianru Zhang, Xiaoqian Wang
Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks. CoRR (2020)
Haoyan Xu, Ziheng Duan, Yunsheng Bai, Yida Huang, Anni Ren, Qianru Yu, Qianru Zhang, Yueyang Wang, Xiaoqian Wang, Yizhou Sun, Wei Wang
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling. CoRR (2020)
Callie Federer, Haoyan Xu, Alona Fyshe, Joel Zylberberg
Training neural networks to have brain-like representations improves object recognition performance. CoRR (2019)
Haoyan Xu, Xiaolong Xu
Megrez: MOOC-Oriented EEG-Based Arousal of Brain Detection and Adjustment Scheme. EDUCON (2019)
Haoyan Xu, Xiaolong Xu
Lightweight EEG Classification Model Based on EEG-sensor with Few Channels. CyberC (2019)
Chris Foster, Dhanush Dharmaretnam, Haoyan Xu, Alona Fyshe, George Tzanetakis
Decoding Music in the Human Brain Using EEG Data. MMSP (2018)
Haoyan Xu, Brian Murphy, Alona Fyshe
BrainBench: A Brain-Image Test Suite for Distributional Semantic Models. EMNLP (2016)