Yinkai Wang

According to our database, Yinkai Wang authored at least 10 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

On Separate Normalization in Self-supervised Transformers.

Xiaohui Chen, Yinkai Wang, Yuanqi Du, Soha Hassoun, Liping Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Small molecule generation via disentangled representation learning.

Yuanqi Du, Xiaojie Guo, Yinkai Wang, Amarda Shehu, Liang Zhao

Bioinform., 2022

Multi-objective Deep Data Generation with Correlated Property Control.

Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Ann Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, William M. Wuest, Amarda Shehu, Liang Zhao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Survey on Deep Graph Generation: Methods and Applications.

Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu

Proceedings of the Learning on Graphs Conference, 2022

Generation and Characterization of Quaternary Ammonium Compounds via Deep Learning.

Yinkai Wang, Shiva Ghaemi, Aowei Ding, Yuanqui Du, Bo Pan, Muran Qin, Xuanyang Lin, Ashley Ann Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, William M. Wuest, Liang Zhao, Amarda Shehu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Property-Controllable Generation of Quaternary Ammonium Compounds.

Bo Pan, Yinkai Wang, Xuanyang Lin, Muran Qin, Yuanqi Du, Shiva Ghaemi, Aowei Ding, Shiyu Wang, Saleh AlKhalifa, Kevin Minbiole, William M. Wuest, Ashley Ann Petersen, Austin Leitgeb, Amarda Shehu, Liang Zhao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Dataset Geography: Mapping Language Data to Language Users.

Fahim Faisal, Yinkai Wang, Antonios Anastasopoulos

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Graph-based Ensemble Machine Learning for Student Performance Prediction.

Yinkai Wang, Aowei Ding, Kaiyi Guan, Shixi Wu, Yuanqi Du

CoRR, 2021

Ensemble Machine Learning System for Student AcademicPerformance Prediction.

Yinkai Wang, Aowei Ding, Kaiyi Guan, Yuanqi Du

Proceedings of the Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), 2021

Deep Latent-Variable Models for Controllable Molecule Generation.

Yuanqi Du, Yinkai Wang, Fardina Fathmiul Alam, Yuanjie Lu, Xiaojie Guo, Liang Zhao, Amarda Shehu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021