Education

M.S. in Computer Science, Washington University in St. Louis, 2024
B.Econ. in Financial Engineering, Shanghai Lixin University of Accounting and Finance, 2021

Conference Paper

[Oral Presentation] Michael Lanier, Ying Xu, Nathan Jacobs, Chongjie Zhang, Yevgeniy Vorobeychik. “Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning,” ICMLA 2024. Link
Ying Xu, Yuejia Gu, Jiangpan Wang. “The College Student Credit Evaluation Based on Characteristic Data”, Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health. Springer, Singapore, 2020: 116-130. Link

[Oral Presentation] Ying Xu, Michael Lanier, Anindya Sarkar, Yevgeniy Vorobeychik. “Attacks on Node Attributes in Graph Neural Networks,” AAAI 2024 Workshop on “Artificial Intelligence for Cyber Security.” Link

Qingyang Wu*, Ying Xu*, Tingsong Xiao, Yunze Xiao, Yitong Li, Tianyang Wang, Yichi Zhang, Shanghai Zhong, Yuwei Zhang, Wei Lu, Yifan Yang. “Surveying Attitudinal Alignment Between Large Language Models VS. Humans Towards 17 Sustainable Development Goals,” WIREs Data Mining and Knowledge Discovery, 2024. Link
Lufei Huang, Ying Xu, Xiaohui Pan, Tao Zhang. “Green Technology Collaboration Network Analysis of China’s Transportation Sector: A Patent-Based Analysis,” Scientific Programming, vol. 2021, Article ID 9961071, 12 pages, 2021. Link
Zifeng Kou, Ying Xu, Sibo Yang. “The relationship between environmental pollution and FDI in Chinese provinces: Granger causality analysis perspective based on fixed effects panel data,” Journal of Shanghai Lixin University of Accounting and Finance, 2020, 32(03): 87-100.

[Oral Presentation] Ying Xu*, Muhammad Ali*, Gyujin Heo, Jigyasha Timsina, Menghan Liu, John Budde, Jen Gentsch, Carlos Cruchaga, CSF and plasma protein classifier for predicting disease-specific and multiple dementia types (AD and PD) by multiple AI-based models, ADPD, 2025.
[Oral Presentation] Muhammad Ali*, Ying Xu*, Yike Chen, Gyujin Heo, Jigyasha Timsina, Ellen Liu, Yun Ju Sung, Alexa Pichet-Binette, Betty Tijms, Laura Winchester, Carlos Cruchaga, Plasma proteomic profiling of AD, PD and FTD in a large sample of individuals from the global neurodegeneration proteomics consortium (GNPC), ADPD 2025.
[Oral Presentation] Muhammad Ali, Ying Xu, Gyujin Heo, Jigyasha Timsina, Menghan Liu, John Budde, Jen Gentsch, Carlos Cruchaga, Large-scale CSF and plasma proteomics reveal dysregulation of immune system, synaptic impairment, and nuclear envelope related envelope related pathways in neurodegeneration, ADPD 2025.

Ying Xu, Jiangpan Wang. “Personal Credit Rating System.” No. 2020SR0126760
Jiangpan Wang, Ying Xu. “Contribution Allocation Algorithm in the Case of Cooperation with Multi Person and Multi Organizations.” No. 2020SR0103989

Organization: Sinovation Ventures, Deecamp (Artificial Intelligence Training Camp)
Project: MedAI Orthopedic Diagnostics

INFO 558 Applications of Deep Neural Networks (SP 2024, FL 2023) Instructor: Professor Jeffery Heaton
CSE 555T Adversarial AI (SP 2024) Instructor: Professor Yevgeniy Vorobeychik
CSE 514A Data Mining (FL 2023, SP 2023) Instructor: Professor Cynthia Ma
CSE 412A Introduction to AI (FL 2023, FL 2022) Instructor: Professor Athena Tabakhi