Multi-view graph contrastive representation learning for drug-drug interaction prediction Y Wang, Y Min, X Chen, J Wu Proceedings of the Web Conference 2021, 2921-2933, 2021 | 129 | 2021 |
Graph data augmentation for graph machine learning: A survey T Zhao, W Jin, Y Liu, Y Wang, G Liu, S Günnemann, N Shah, M Jiang arXiv preprint arXiv:2202.08871, 2022 | 91 | 2022 |
Machine learning-aided generative molecular design Y Du*, AR Jamasb*, J Guo*, T Fu, C Harris, Y Wang, C Duan, P Liò, ... Nature Machine Intelligence, 1-16, 2024 | 65* | 2024 |
Going Deeper into Permutation-Sensitive Graph Neural Networks Z Huang*, Y Wang*, C Li, H He International Conference on Machine Learning, 9377-9409, 2022 | 31 | 2022 |
Time Series Contrastive Learning with Information-Aware Augmentations D Luo, W Cheng, Y Wang, D Xu, J Ni, W Yu, X Zhang, Y Liu, Y Chen, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4534-4542, 2023 | 26 | 2023 |
Molecular graph contrastive learning with parameterized explainable augmentations Y Wang, Y Min, E Shao, J Wu 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 15 | 2021 |
Mathematical modeling and simulation on the stimulation interactions in coalbed methane thermal recovery T Teng, Y Wang, X He, P Chen Processes 7 (8), 526, 2019 | 14 | 2019 |
Infodiffusion: Representation learning using information maximizing diffusion models Y Wang, Y Schiff, A Gokaslan, W Pan, F Wang, C De Sa, V Kuleshov International Conference on Machine Learning, 36336-36354, 2023 | 13 | 2023 |
M Hub: Unlocking the Potential of Machine Learning for Materials Discovery Y Du*, Y Wang*, Y Huang, JC Li, Y Zhu, T Xie, C Duan, JM Gregoire, ... arXiv preprint arXiv:2307.05378, 2023 | 4 | 2023 |
Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction J Bai, Y Du, Y Wang, S Kong, J Gregoire, C Gomes NeurIPS 2022 AI for Science Workshop, 2022 | 4 | 2022 |
Pipeline image haze removal system using dark channel prior on cloud processing platform C Li, T He, Y Wang, L Zhang, R Liu, J Zheng International Journal of Computational Science and Engineering 22 (1), 84-95, 2020 | 4 | 2020 |
Graph emotion decoding from visually evoked neural responses Z Huang, C Du, Y Wang, H He International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 3 | 2022 |
Predicting the protein-ligand affinity from molecular dynamics trajectories Y Min, Y Wei, P Wang, N Wu, S Bauer, S Zheng, Y Shi, Y Wang, X Wang, ... arXiv preprint arXiv:2208.10230, 2022 | 3 | 2022 |
Molcloze: a unified cloze-style self-supervised molecular structure learning model for chemical property prediction Y Wang*, X Chen*, Y Min, J Wu 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 3 | 2021 |
Generalizability of a machine learning model for improving utilization of parathyroid hormone-related peptide testing across multiple clinical centers HS Yang, W Pan, Y Wang, MA Zaydman, NC Spies, Z Zhao, TA Guise, ... Clinical chemistry 69 (11), 1260-1269, 2023 | 2 | 2023 |
ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers J Yin, J Dong, Y Wang, C De Sa, V Kuleshov arXiv preprint arXiv:2309.16119, 2023 | 2 | 2023 |
Growing Like a Tree: Finding Trunks From Graph Skeleton Trees Z Huang, Y Wang, C Li, H He IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 1 | 2023 |
From Static to Dynamic Structures: Improving Binding Affinity Prediction with a Graph-Based Deep Learning Model Y Min, Y Wei, P Wang, X Wang, H Li, N Wu, S Bauer, S Zheng, Y Shi, ... arXiv preprint arXiv:2208.10230, 2022 | 1 | 2022 |
Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance Y Wang, S Kong, JM Gregoire, CP Gomes Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 283-291, 2024 | | 2024 |
Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors T Piriyakulkij*, Y Wang*, V Kuleshov arXiv preprint arXiv:2401.02739, 2024 | | 2024 |