Haishuai Wang
Haishuai Wang
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Zitiert von
Zitiert von
Predicting hospital readmission via cost-sensitive deep learning
H Wang, Z Cui, Y Chen, M Avidan, AB Abdallah, A Kronzer
IEEE/ACM transactions on computational biology and bioinformatics 15 (6 …, 2018
Time series feature learning with labeled and unlabeled data
H Wang, Q Zhang, J Wu, S Pan, Y Chen
Pattern Recognition 89, 55-66, 2019
Social recommendation with evolutionary opinion dynamics
F Xiong, X Wang, S Pan, H Yang, H Wang, C Zhang
IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (10), 3804-3816, 2018
Exploring spatio-temporal representations by integrating attention-based bidirectional-LSTM-RNNs and FCNs for speech emotion recognition
Z Zhao, Y Zheng, Z Zhang, H Wang, Y Zhao, C Li
Interspeech, 2018
Defragging subgraph features for graph classification
H Wang, P Zhang, I Tsang, L Chen, C Zhang
Proceedings of the 24th ACM international on conference on information and …, 2015
Incremental subgraph feature selection for graph classification
H Wang, P Zhang, X Zhu, IWH Tsang, L Chen, C Zhang, X Wu
IEEE Transactions on Knowledge and Data Engineering 29 (1), 128-142, 2017
Automatic assessment of depression from speech via a hierarchical attention transfer network and attention autoencoders
Z Zhao, Z Bao, Z Zhang, J Deng, N Cummins, H Wang, J Tao, B Schuller
IEEE Journal of Selected Topics in Signal Processing 14 (2), 423-434, 2019
Attention-enhanced connectionist temporal classification for discrete speech emotion recognition
Z Zhao, Z Bao, Z Zhang, N Cummins, H Wang, B Schuller
Interspeech, 2019
Deep spectrum feature representations for speech emotion recognition
Z Zhao, Y Zhao, Z Bao, H Wang, Z Zhang, C Li
Proceedings of the Joint Workshop of the 4th Workshop on Affective Social …, 2018
Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition
Z Zhao, Q Li, Z Zhang, N Cummins, H Wang, J Tao, BW Schuller
Neural Networks 141, 52-60, 2021
Predicting protein-ligand interactions based on bow-pharmacological space and Bayesian additive regression trees
L Li, CC Koh, D Reker, JB Brown, H Wang, NK Lee, H Liow, H Dai, ...
Scientific reports 9 (1), 7703, 2019
Towards large-scale social networks with online diffusion provenance detection
H Wang, J Wu, S Pan, P Zhang, L Chen
Computer Networks 114, 154-166, 2017
Learning Shapelet Patterns from Network-based Time Series Data
H Wang, J Wu, P Zhang, Y Chen
IEEE Transactions on Industrial Informatics, 2018
Classification of lung nodules based on deep residual networks and migration learning
P Wu, X Sun, Z Zhao, H Wang, S Pan, B Schuller
Computational intelligence and neuroscience 2020, 2020
Logo-2K+: A large-scale logo dataset for scalable logo classification
J Wang, W Min, S Hou, S Ma, Y Zheng, H Wang, S Jiang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6194-6201, 2020
Hierarchical attention transfer networks for depression assessment from speech
Z Zhao, Z Bao, Z Zhang, N Cummins, H Wang, B Schuller
ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020
Hybrid Network Feature Extraction for Depression Assessment from Speech.
Z Zhao, Q Li, N Cummins, B Liu, H Wang, J Tao, BW Schuller
Interspeech, 4956-4960, 2020
Time-variant graph classification
H Wang, J Wu, X Zhu, Y Chen, C Zhang
IEEE Transactions on systems, man, and cybernetics: systems 50 (8), 2883-2896, 2020
Boosting for real-time multivariate time series classification
H Wang, J Wu
Thirty-First AAAI Conference on Artificial Intelligence, 2017
Diagnostic Classification and Prognostic Prediction Using Common Genetic Variants in Autism Spectrum Disorder: Genotype-Based Deep Learning
H Wang, P Avillach
JMIR Medical Informatics, 2021
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