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 | 379 | 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 | 162* | 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 | 82 | 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 | 42 | 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 |
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 | 19 | 2022 |
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 | 17 | 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 |
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 | 8 | 2021 |
Sex differences in viral entry protein expression and host transcript responses to SARS-CoV-2 M Sun, R Shankar, M Ko, CD Chang, S Yeh, S Li, K Liu, G Zhou, J Xing, ... | 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 |
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, ... Companion Proceedings of the ACM on Web Conference 2024, 73-82, 2024 | 3 | 2024 |
AutoML for Large Capacity Modeling of Meta's Ranking Systems H Yin, KH Liu, M Sun, Y Chen, B Zhang, J Liu, V Sehgal, RR Panchal, ... Companion Proceedings of the ACM on Web Conference 2024, 374-382, 2024 | 3 | 2024 |
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 22 (2), qzad008, 2024 | 1* | 2024 |
Machine Learning on Drug Discovery: Algorithms and Applications M Sun Michigan State University, 2022 | | 2022 |
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, rs. 3. rs-100914, 2020 | | 2020 |