| Adversarial attacks on graph neural networks via node injections: A hierarchical reinforcement learning approach Y Sun, S Wang, X Tang, TY Hsieh, V Honavar Proceedings of the Web Conference 2020, 673-683, 2020 | 172* | 2020 |
| Transferring robustness for graph neural network against poisoning attacks X Tang, Y Li, Y Sun, H Yao, P Mitra, S Wang Proceedings of the 13th international conference on web search and data …, 2020 | 145* | 2020 |
| Ginger cannot cure cancer: Battling fake health news with a comprehensive data repository E Dai, Y Sun, S Wang Proceedings of the International AAAI Conference on Web and Social Media 14 …, 2020 | 110 | 2020 |
| Joint modeling of local and global temporal dynamics for multivariate time series forecasting with missing values X Tang, H Yao, Y Sun, C Aggarwal, P Mitra, S Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5956-5963, 2020 | 102 | 2020 |
| Investigating and mitigating degree-related biases in graph convoltuional networks X Tang, H Yao, Y Sun, Y Wang, J Tang, C Aggarwal, P Mitra, S Wang Proceedings of the 29th ACM International Conference on Information …, 2020 | 90 | 2020 |
| Detecting overlapping communities from local spectral subspaces K He, Y Sun, D Bindel, J Hopcroft, Y Li 2015 IEEE international conference on data mining, 769-774, 2015 | 83 | 2015 |
| Explainable multivariate time series classification: a deep neural network which learns to attend to important variables as well as time intervals TY Hsieh, S Wang, Y Sun, V Honavar Proceedings of the 14th ACM international conference on web search and data …, 2021 | 57 | 2021 |
| Improving image captioning by leveraging knowledge graphs Y Zhou, Y Sun, V Honavar 2019 IEEE winter conference on applications of computer vision (WACV), 283-293, 2019 | 57 | 2019 |
| MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Y Sun, S Wang, TY Hsieh, X Tang, V Honavar International Joint Conference on Artificial Intelligence (IJCAI), 2019 | 53 | 2019 |
| An ontology-aware framework for audio event classification Y Sun, S Ghaffarzadegan ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 23 | 2020 |
| Multi-view network embedding via graph factorization clustering and co-regularized multi-view agreement Y Sun, N Bui, TY Hsieh, V Honavar 2018 ieee international conference on data mining workshops (icdmw), 1006-1013, 2018 | 20 | 2018 |
| LMLFM: longitudinal multi-level factorization machine J Liang, D Xu, Y Sun, V Honavar Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4811-4818, 2020 | 10 | 2020 |
| SrVARM: state regularized vector autoregressive model for joint learning of hidden state transitions and state-dependent inter-variable dependencies from multi-variate time series TY Hsieh, Y Sun, X Tang, S Wang, VG Honavar Proceedings of the Web Conference 2021, 2270-2280, 2021 | 8 | 2021 |
| Adaptive structural co-regularization for unsupervised multi-view feature selection TY Hsieh, Y Sun, S Wang, V Honavar 2019 IEEE International Conference on Big Knowledge (ICBK), 87-96, 2019 | 7 | 2019 |
| Functional autoencoders for functional data representation learning TY Hsieh, Y Sun, S Wang, V Honavar Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 5 | 2021 |
| Graph convolutional networks against degree-related biases X Tang, H Yao, Y Sun, Y Wang, J Tang, C Aggarwal, P Mitra, S Wang arXiv preprint arXiv:2006.15643, 2020 | 5 | 2020 |
| b. Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks X Tang, H Yao, Y Sun, Y Wang, J Tang, C Aggarwal, P Mitra, S Wang Proceedings of the 29th ACM International Conference on Information …, 2020 | 4 | 2020 |
| Labeled data generation with inexact supervision E Dai, K Shu, Y Sun, S Wang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 3 | 2021 |
| Compositional stochastic average gradient for machine learning and related applications TY Hsieh, Y El-Manzalawy, Y Sun, V Honavar Intelligent Data Engineering and Automated Learning–IDEAL 2018: 19th …, 2018 | 1 | 2018 |
| Ontology-aware sound classification SUNY Shabnam Ghaffarzadegan, Zhe Feng US Patent 11,295,756, 2022 | | 2022 |
Suhang WangPennsylvania State UniversityVerified email at psu.edu
