Publications

Papers

• On Separate Normalization in Self-supervised Transformers Xiaohui Chen, Yinkai Wang, Yuanqi Du, Soha Hassoun, Liping Liu. Research paper for NeurIPS 2023.
• A Survey on Deep Graph Generation: Methods and Applications. Yinkai Wang*, Yanqiao Zhu*, Yuanqi Du*, Jieyu Zhang, Qiang Liu, Shu Wu. Survey on LoG.
• Small Molecule Generation via Disentangled Representation Learning. Yuanqi Du, Xiaojie Guo, Yinkai Wang, Amarda Shehu, Liang Zhao. Research paper for Bioinformatics.
• Dataset Geography: Mapping Language Data to Language Users. Fahim Faisal, Yinkai Wang, Antonis Anastasopoulos. Research paper for ACL 2022.
• Deep Latent-Variable Models for Controllable Molecule Generation. Yuanqi Du, Yinkai Wang, Fardina Alam, Yuanjie Lu, Xiaojie Guo, Liang Zhao, Amarda Shehu. Research Paper for IEEE BIBM 2021.
• 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, Bill Wuest, Amarda Shehu, Liang Zhao. Research Paper for NeurIPS 2022.

Workshops

• Graph-based Ensemble Machine Learning for Student Performance Prediction Yinkai Wang*, Kaiyi Guan*, Aowei Ding*, Shixi Wu, Yuanqi Du. Research Paper in Workshop accepted by AAAI (AI4EDU, DLG’22).
• 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 Wuest, Liang Zhao, Amarda Shehu. Research Paper in Workshop accepted by IEEE BIBM(CSBW).
• 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 Petersen, Austin Leitgeb, Amarda Shehu, Liang Zhao. Research Paper in Workshop accepted by IEEE BIBM(CSBW).