个人介绍
Qingqi Zhang – AI engineer, full-stack problem-solver, and incoming Harvard Applied Math PhD
工作经历
2025-04-11 -至今AI留学创业团队发起人
我们旨在做一个AI为基础的留学申请平台。通过网站实现从选校、文书、套瓷等的全过程管理,数据库接入AI,可以提供实时、定制化的建议,同时有一个聊天社群鼓励申请者、学长学姐、导师的相互交流。
2021-07-01 -2022-05-31IBM ResearchResearch Affiliate
As a Research Affiliate at IBM Research (MIT-IBM Watson AI Lab, Jul 2021 – May 2022) I spearheaded explainability advances for graph neural networks. I extended the Contrastive Explanation Method to graphs (CEM-G), relaxing the original 0-1 search to a continuous, sparsity-promoting formulation and devising a refined PP/PN feature-selection criterion for imbalanced graphs. My work produced detailed node-level explanations that revealed three root causes of GNN errors. I also created CF-PGExplain
教育经历
2025-09-01 - 哈佛大学应用数学博士
2022-09-01 - 2024-12-13芝加哥大学计算与应用数学硕士
2018-09-01 - 2022-07-01浙江大学计算机科学与技术本科已认证


