Yao Xuan - RankMe

14 papers A* 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Design Once, Deploy at Scale: Template-Driven ML Development for Large Model Ecosystems. CoRR 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
2025	J	`jnl`	A roadmap for T cell receptor-peptide-bound major histocompatibility complex binding prediction by machine learning: glimpse and foresight. Briefings Bioinform. Furong Qi, Qiang Huang, Yao Xuan, Yingyin Cao, Yunyun Shen, Yihan Ren, Zhe Liu, Zheng Zhang
2025	J	`jnl`	Quantum-Boosted High-Fidelity Deep Learning. CoRR 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
2023	J	`jnl`	Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions. CoRR Gengchen Mai, Yao Xuan, Wenyun Zuo, Yutong He, Jiaming Song, Stefano Ermon, Krzysztof Janowicz, Ni Lao
2023	J	`jnl`	Towards general-purpose representation learning of polygonal geometries. GeoInformatica Gengchen Mai, Chiyu Jiang, Weiwei Sun, Rui Zhu, Yao Xuan, Ling Cai, Krzysztof Janowicz, Stefano Ermon, Ni Lao
2022	J	`jnl`	Machine Learning and Polymer Self-Consistent Field Theory in Two Spatial Dimensions. CoRR Yao Xuan, Kris T. Delaney, Héctor D. Ceniceros, Glenn H. Fredrickson
2022	J	`jnl`	Pandemic Control, Game Theory and Machine Learning. CoRR Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros
2022	J	`jnl`	Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions. CoRR Gengchen Mai, Yao Xuan, Wenyun Zuo, Krzysztof Janowicz, Ni Lao
2022	J	`jnl`	Towards General-Purpose Representation Learning of Polygonal Geometries. CoRR Gengchen Mai, Chiyu Jiang, Weiwei Sun, Rui Zhu, Yao Xuan, Ling Cai, Krzysztof Janowicz, Stefano Ermon, Ni Lao
2021	J	`jnl`	Deep learning and self-consistent field theory: A path towards accelerating polymer phase discovery. J. Comput. Phys. Yao Xuan, Kris T. Delaney, Héctor D. Ceniceros, Glenn H. Fredrickson
2021	—	`conf`	Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm. MSML Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros
2020	J	`jnl`	Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm. CoRR Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros
2019	A*	`conf`	Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting. NeurIPS Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, Xifeng Yan
2019	J	`jnl`	Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting. CoRR Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, Xifeng Yan