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2020 – today
- 2026
[i9]Jiang Liu, John Martabano Landy, Yao Xuan, Swamy Muddu, Nhat Le, Munaf Sahaf, Luc Kien Hang, Rupinder Khandpour, Kevin De Angeli, Chang Yang, Shouyuan Chen, Shiblee Sadik, Anirudh Agrawal, Djordje Gligorijevic, Jingzheng Qin, Peggy Yao, Alireza Vahdatpour:
Design Once, Deploy at Scale: Template-Driven ML Development for Large Model Ecosystems. CoRR abs/2603.24963 (2026)- 2025
- [j3]Furong Qi, Qiang Huang, Yao Xuan
, Yingyin Cao, Yunyun Shen, Yihan Ren, Zhe Liu, Zheng Zhang:
A roadmap for T cell receptor-peptide-bound major histocompatibility complex binding prediction by machine learning: glimpse and foresight. Briefings Bioinform. 26(4) (2025) - [i8]Feng-ao Wang, Shaobo Chen, Yao Xuan, Junwei Liu, Qi Gao, Hongdong Zhu, Junjie Hou, Lixin Yuan, Jinyu Cheng, Chenxin Yi, Hai Wei, Yin Ma, Tao Xu, Kai Wen, Yixue Li:
Quantum-Boosted High-Fidelity Deep Learning. CoRR abs/2508.11190 (2025) - 2023
- [j2]Gengchen Mai, Chiyu Jiang, Weiwei Sun, Rui Zhu, Yao Xuan, Ling Cai, Krzysztof Janowicz, Stefano Ermon, Ni Lao:
Towards general-purpose representation learning of polygonal geometries. GeoInformatica 27(2): 289-340 (2023) - [i7]Gengchen Mai, Yao Xuan, Wenyun Zuo, Yutong He, Jiaming Song, Stefano Ermon, Krzysztof Janowicz, Ni Lao:
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions. CoRR abs/2306.17624 (2023) - 2022
- [i6]Gengchen Mai, Yao Xuan, Wenyun Zuo, Krzysztof Janowicz, Ni Lao:
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions. CoRR abs/2201.10489 (2022) - [i5]Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros:
Pandemic Control, Game Theory and Machine Learning. CoRR abs/2208.08646 (2022) - [i4]Gengchen Mai, Chiyu Jiang, Weiwei Sun, Rui Zhu, Yao Xuan, Ling Cai, Krzysztof Janowicz, Stefano Ermon, Ni Lao:
Towards General-Purpose Representation Learning of Polygonal Geometries. CoRR abs/2209.15458 (2022) - [i3]Yao Xuan, Kris T. Delaney, Héctor D. Ceniceros, Glenn H. Fredrickson:
Machine Learning and Polymer Self-Consistent Field Theory in Two Spatial Dimensions. CoRR abs/2212.10478 (2022) - 2021
- [j1]Yao Xuan, Kris T. Delaney, Héctor D. Ceniceros, Glenn H. Fredrickson:
Deep learning and self-consistent field theory: A path towards accelerating polymer phase discovery. J. Comput. Phys. 443: 110519 (2021) - [c2]Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros:
Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm. MSML 2021: 987-1012 - 2020
- [i2]Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros:
Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm. CoRR abs/2012.06745 (2020)
2010 – 2019
- 2019
- [c1]Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, Xifeng Yan:
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting. NeurIPS 2019: 5244-5254 - [i1]Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, Xifeng Yan:
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting. CoRR abs/1907.00235 (2019)
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