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2020 – today
- 2023
[c8]Xiaohui Chen, Yinkai Wang, Yuanqi Du, Soha Hassoun, Liping Liu:
On Separate Normalization in Self-supervised Transformers. NeurIPS 2023- [i5]Xiaohui Chen, Yinkai Wang, Yuanqi Du, Soha Hassoun, Li-Ping Liu:
On Separate Normalization in Self-supervised Transformers. CoRR abs/2309.12931 (2023) - 2022
- [j1]Yuanqi Du, Xiaojie Guo, Yinkai Wang, Amarda Shehu
, Liang Zhao:
Small molecule generation via disentangled representation learning. Bioinform. 38(12): 3200-3208 (2022) - [c7]Fahim Faisal, Yinkai Wang, Antonios Anastasopoulos:
Dataset Geography: Mapping Language Data to Language Users. ACL (1) 2022: 3381-3411 - [c6]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:
Property-Controllable Generation of Quaternary Ammonium Compounds. BIBM 2022: 3462-3469 - [c5]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:
Generation and Characterization of Quaternary Ammonium Compounds via Deep Learning. BIBM 2022: 3512-3519 - [c4]Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu:
A Survey on Deep Graph Generation: Methods and Applications. LoG 2022: 47 - [c3]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:
Multi-objective Deep Data Generation with Correlated Property Control. NeurIPS 2022 - [i4]Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu:
A Survey on Deep Graph Generation: Methods and Applications. CoRR abs/2203.06714 (2022) - [i3]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:
Multi-objective Deep Data Generation with Correlated Property Control. CoRR abs/2210.01796 (2022) - 2021
- [c2]Yuanqi Du, Yinkai Wang, Fardina Fathmiul Alam, Yuanjie Lu, Xiaojie Guo, Liang Zhao, Amarda Shehu:
Deep Latent-Variable Models for Controllable Molecule Generation. BIBM 2021: 372-375 - [c1]Yinkai Wang, Aowei Ding, Kaiyi Guan, Yuanqi Du:
Ensemble Machine Learning System for Student AcademicPerformance Prediction. EDM (Workshops) 2021 - [i2]Fahim Faisal, Yinkai Wang, Antonios Anastasopoulos:
Dataset Geography: Mapping Language Data to Language Users. CoRR abs/2112.03497 (2021) - [i1]Yinkai Wang, Aowei Ding, Kaiyi Guan, Shixi Wu, Yuanqi Du:
Graph-based Ensemble Machine Learning for Student Performance Prediction. CoRR abs/2112.07893 (2021)
Coauthor Index
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