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Yingheng Wang
Yingheng Wang
PhD Student, Cornell University
在 cornell.edu 的电子邮件经过验证 - 首页
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引用次数
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年份
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
1292021
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
912022
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
312022
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
262023
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
152021
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
142019
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
132023
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
42023
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
42022
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
42020
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
32022
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
32022
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
32021
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
22023
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
22023
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
12023
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
12022
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
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