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2020 – today
- 2024
[j8]Haoyan Xu, Guangyao Zhang, Wensheng Wang, Chenrui Sun, Hanyu Wang, Han Wu, Zhuangzhi Sun
:
A Highly Sensitive, Low Creep Hydrogel Sensor for Plant Growth Monitoring. Sensors 24(19): 6197 (2024)- 2023
- [j7]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): 2480-2493 (2023) - 2022
- [j6]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: 481-490 (2022) - [j5]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: 151-158 (2022) - 2021
- [j4]Haoyan Xu, Xiaolong Xu, Fu Xiao:
Dubhe: a deep-learning-based B5G coverage analysis method. EURASIP J. Adv. Signal Process. 2021(1): 65 (2021) - [j3]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: 348-362 (2021) - [j2]Xiaolong Xu, Haoyan Xu, Yang Wang, Jing Zhang:
AENEA: A novel autoencoder-based network embedding algorithm. Peer-to-Peer Netw. Appl. 14(3): 1829-1840 (2021) - 2020
- [j1]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: 103-114 (2020) - [c5]Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun:
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding. KDD 2020: 2258-2268 - [i8]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 abs/2005.01185 (2020) - [i7]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 abs/2005.07115 (2020) - [i6]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 abs/2005.08008 (2020) - [i5]Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun:
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding. CoRR abs/2006.01321 (2020) - [i4]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 abs/2008.07730 (2020) - [i3]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 abs/2008.08617 (2020) - [i2]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 abs/2010.05649 (2020)
2010 – 2019
- 2019
- [c4]Haoyan Xu, Xiaolong Xu:
Lightweight EEG Classification Model Based on EEG-sensor with Few Channels. CyberC 2019: 464-473 - [c3]Haoyan Xu, Xiaolong Xu:
Megrez: MOOC-Oriented EEG-Based Arousal of Brain Detection and Adjustment Scheme. EDUCON 2019: 1011-1016 - [i1]Callie Federer, Haoyan Xu, Alona Fyshe, Joel Zylberberg:
Training neural networks to have brain-like representations improves object recognition performance. CoRR abs/1905.10679 (2019) - 2018
- [c2]Chris Foster, Dhanush Dharmaretnam, Haoyan Xu, Alona Fyshe, George Tzanetakis:
Decoding Music in the Human Brain Using EEG Data. MMSP 2018: 1-6 - 2016
- [c1]Haoyan Xu, Brian Murphy, Alona Fyshe:
BrainBench: A Brain-Image Test Suite for Distributional Semantic Models. EMNLP 2016: 2017-2021
Coauthor Index
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