| Graph convolutional networks for computational drug development and discovery M Sun, S Zhao, C Gilvary, O Elemento, J Zhou, F Wang Briefings in bioinformatics 21 (3), 919-935, 2020 | 322 | 2020 |
| MoCL: Contrastive Learning on Molecular Graphs with Multi-level Domain Knowledge M Sun, J Xing, H Wang, B Chen, J Zhou Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 121* | 2021 |
| Identify susceptible locations in medical records via adversarial attacks on deep predictive models M Sun, F Tang, J Yi, F Wang, J Zhou Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 71 | 2018 |
| Multi-modality disease modeling via collective deep matrix factorization Q Wang, M Sun, L Zhan, P Thompson, S Ji, J Zhou Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 40 | 2017 |
| Untangling the complex relationships between incident gout risk, serum urate, and its comorbidities M Sun, AI Vazquez, RJ Reynolds, JA Singh, M Reeves, TR Merriman, ... Arthritis research & therapy 20, 1-9, 2018 | 25 | 2018 |
| Structure-based drug-drug interaction detection via expressive graph convolutional networks and deep sets (student abstract) M Sun, F Wang, O Elemento, J Zhou proceedings of the AAAI conference on artificial intelligence 34 (10), 13927 …, 2020 | 16 | 2020 |
| Subspace network: Deep multi-task censored regression for modeling neurodegenerative diseases M Sun, IM Baytas, L Zhan, Z Wang, J Zhou Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 15 | 2018 |
| Molsearch: search-based multi-objective molecular generation and property optimization M Sun, J Xing, H Meng, H Wang, B Chen, J Zhou Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 9 | 2022 |
| Learning deep neural networks under agnostic corrupted supervision B Liu, M Sun, D Wang, PN Tan, J Zhou International Conference on Machine Learning, 6957-6967, 2021 | 7 | 2021 |
| Sex differences in viral entry protein expression and host transcript responses to SARS-CoV-2 M Sun, R Shankar, M Ko, CD Chang, SJ Yeh, S Li, K Liu, G Zhou, J Xing, ... Research square, 2020 | 7 | 2020 |
| Robust collaborative learning with noisy labels M Sun, J Xing, B Chen, J Zhou 2020 IEEE International Conference on Data Mining (ICDM), 1274-1279, 2020 | 4 | 2020 |
| TransCell: In silico Characterization of Genomic Landscape and Cellular Responses by Deep Transfer Learning SJ Yeh, S Paithankar, R Chen, J Xing, M Sun, K Liu, J Zhou, B Chen Genomics, Proteomics & Bioinformatics, qzad008, 2023 | 1* | 2023 |
| Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale W Wen, KH Liu, I Fedorov, X Zhang, H Yin, W Chu, K Hassani, M Sun, ... arXiv preprint arXiv:2311.08430, 2023 | | 2023 |
| AutoML for Large Capacity Modeling of Meta Ranking Systems H Yin, KH Liu, M Sun, Y Chen, B Zhang, J Liu, V Sehgal, RR Panchal, ... arXiv preprint arXiv:2311.07870, 2023 | | 2023 |
| Machine Learning on Drug Discovery: Algorithms and Applications M Sun Michigan State University, 2022 | | 2022 |
Jiayu ZhouMichigan State UniversityVerified email at cse.msu.edu
