| An expanded evaluation of protein function prediction methods shows an improvement in accuracy Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ... Genome biology 17 (1), 1-19, 2016 | 414 | 2016 |
| The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ... Genome biology 20 (1), 1-23, 2019 | 362 | 2019 |
| Independent tasks scheduling based on genetic algorithm in cloud computing C Zhao, S Zhang, Q Liu, J Xie, J Hu 2009 5th international conference on wireless communications, networking and …, 2009 | 268 | 2009 |
| Interpretable representation learning for healthcare via capturing disease progression through time T Bai, S Zhang, BL Egleston, S Vucetic Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 183 | 2018 |
| How to invest my time: Lessons from human-in-the-loop entity extraction S Zhang, L He, E Dragut, S Vucetic Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 55 | 2019 |
| Regular expression guided entity mention mining from noisy web data S Zhang, L He, S Vucetic, E Dragut Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 35 | 2018 |
| Semi-supervised discovery of informative tweets during the emerging disasters S Zhang, S Vucetic arXiv preprint arXiv:1610.03750, 2016 | 30 | 2016 |
| Structure motif–centric learning framework for inorganic crystalline systems HR Banjade, S Hauri, S Zhang, F Ricci, W Gong, G Hautier, S Vucetic, ... Science advances 7 (17), eabf1754, 2021 | 22 | 2021 |
| Joint learning of representation and structure for sparse regression on graphs C Han, S Zhang, M Ghalwash, S Vucetic, Z Obradovic Proceedings of the 2016 SIAM International Conference on Data Mining, 846-854, 2016 | 8 | 2016 |
| Sampling bias in LinkedIn: A case study S Zhang, S Vucetic Proceedings of the 25th International Conference Companion on World Wide Web …, 2016 | 8 | 2016 |
| Improving word embeddings through iterative refinement of word-and character-level models P Ha, S Zhang, N Djuric, S Vucetic Proceedings of the 28th International Conference on Computational …, 2020 | 7 | 2020 |
| Peer assessment of CS doctoral programs shows strong correlation with faculty citations S Vucetic, AK Chanda, S Zhang, T Bai, A Maiti Communications of the ACM 61 (9), 70-76, 2018 | 6 | 2018 |
| Enhancing disaster situational awareness via automated summary dissemination of social media content S Zhang, A Pal, K Kant, S Vucetic 2018 IEEE Global Communications Conference (GLOBECOM), 1-7, 2018 | 5 | 2018 |
| Disaster network evolution using dynamic clustering of twitter data Y Wu, K Kant, S Zhang, A Pal, J Wang 2017 IEEE 37th International Conference on Distributed Computing Systems …, 2017 | 5 | 2017 |
| Faculty citation measures are highly correlated with peer assessment of computer science doctoral programs S Vucetic, AK Chanda, S Zhang, T Bai, A Maiti arXiv preprint arXiv:1708.05435, 2017 | 2 | 2017 |
| Structure motif-centric machine learning framework for inorganic crystalline systems Q Yan, H Banjade, S Hauri, S Zhang, F Ricci, W Gong, G Hautier, ... APS March Meeting Abstracts 2022, T32. 003, 2022 | | 2022 |
| Motif-based machine learning for crystalline materials H Banjade, S Zhang, S Hauri, S Vucetic, Q Yan Bulletin of the American Physical Society 65, 2020 | | 2020 |
| Deep Learning for Unstructured Data by Leveraging Domain Knowledge S Zhang Temple University, 2019 | | 2019 |
| Disaster Network Evolution Using Dynamic Clustering of Twitter Data K Kant, Y Wu, S Zhang, J Wang, A Pal The 1st US-Japan Workshop Enabling Global Collaborations in Big Data …, 2017 | | 2017 |
