| Multi-view graph contrastive representation learning for drug-drug interaction prediction Y Wang, Y Min, X Chen, J Wu WWW, 2021 | 169 | 2021 |
| 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, 2024 | 128* | 2024 |
| Graph data augmentation for graph machine learning T Zhao, W Jin, Y Liu, Y Wang, G Liu, S Günnemann, N Shah, M Jiang IEEE Data Engineering Bulletin, 2022 | 125* | 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, ... AAAI, 2023 | 58 | 2023 |
| Going Deeper into Permutation-Sensitive Graph Neural Networks Z Huang*, Y Wang*, C Li, H He ICML, 2022 | 47 | 2022 |
| Infodiffusion: Representation learning using information maximizing diffusion models Y Wang, Y Schiff, A Gokaslan, W Pan, F Wang, C De Sa, V Kuleshov ICML, 2023 | 30 | 2023 |
| Molecular graph contrastive learning with parameterized explainable augmentations Y Wang, Y Min, E Shao, J Wu BIBM, 2021 | 20 | 2021 |
| Mathematical modeling and simulation on the stimulation interactions in coalbed methane thermal recovery T Teng, Y Wang, X He, P Chen Processes, 2019 | 14 | 2019 |
| 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, 2023 | 8 | 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 TMLR (Featured Certificate), 2023 | 7 | 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, ... NeurIPS, 2023 | 7 | 2023 |
| From Static to Dynamic Structures: Improving Binding Affinity Prediction with Graph‐Based Deep Learning Y Min, Y Wei, P Wang, X Wang, H Li, N Wu, S Bauer, S Zheng, Y Shi, ... Advanced Science 11 (40), 2405404, 2024 | 6* | 2024 |
| 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 | 6 | 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, 2020 | 6 | 2020 |
| How Far Are We From AGI J You, G Liu, Y Li, S Han, D Song ICLR 2024 Workshops, 2024 | 5 | 2024 |
| Molcloze: a unified cloze-style self-supervised molecular structure learning model for chemical property prediction Y Wang*, X Chen*, Y Min, J Wu BIBM, 2021 | 5* | 2021 |
| Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance Y Wang, S Kong, JM Gregoire, CP Gomes AAAI, 2024 | 3 | 2024 |
| Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors T Piriyakulkij*, Y Wang*, V Kuleshov AAAI, 2024 | 2 | 2024 |
| 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 (TPAMI), 2023 | 2 | 2023 |
| Graph emotion decoding from visually evoked neural responses Z Huang, C Du, Y Wang, H He MICCAI, 2022 | 2 | 2022 |