| 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 | 138 | 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 | 70 | 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 | 65 | 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 | 60 | 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 | 52* | 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 | 45 | 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 | 35 | 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 | 34 | 2018 |
| Attention-enhanced connectionist temporal classification for discrete speech emotion recognition Z Zhao, Z Bao, Z Zhang, N Cummins, H Wang, B Schuller Interspeech, 2019 | 32 | 2019 |
| 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 | 26 | 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 | 26 | 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 | 20 | 2017 |
| 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 | 19 | 2020 |
| Learning Shapelet Patterns from Network-based Time Series Data H Wang, J Wu, P Zhang, Y Chen IEEE Transactions on Industrial Informatics, 2018 | 19* | 2018 |
| 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 | 17 | 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 | 16 | 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 | 15 | 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 | 14 | 2020 |
| Boosting for real-time multivariate time series classification H Wang, J Wu Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 13 | 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 | 11 | 2021 |
