2001.9 – 2006.6 工学博士，人工智能，中国科学技术大学计算机科学技术系。
1997.9 – 2001.7 工学学士，中国科学技术大学少年班系。

主要研究兴趣为认知智能——机器如何更好表示、学习与推理知识，知识+数据库管理系统，与类脑智能——如何深度借鉴脑科学重要发现设计新的神经网络机制，及其在教育、金融等方面应用。

2022.04 – 至今，教授，知识计算实验室主任，中国科学技术大学，信息科学技术学院。
2019.12 – 2022.03，研究员，计算神经学与类脑智能研究部（筹）主任，认知智能组课题组长，上海脑科学与类脑研究中心。
2018.12 - 2019.11，研究员，计算神经学与类脑智能研究中心主任助理，认知智能组课题组长，张江实验室。
2016.01 - 2018.11，高级讲师，澳大利亚西悉尼大学，计算机工程与数学学院。
2011.03 - 2015.12，讲师，澳大利亚西悉尼大学，计算机工程与数学学院。
2006.11 - 2011.02，博士后，澳大利亚西悉尼大学，计算机工程与数学学院。
2006.04 - 2006.10，访问学者，香港科学技术大学，计算机科学与工程系。

科技部, 科技创新2030—“脑科学与类脑研究”重大项目, 2021ZD0202600, 多感觉整合的神经机制, 2021-12 至 2026-11
上海市科委，人工智能专项，基于符号逻辑的复杂知识表征和推理，2021-9至2024-8，主持。

1.SHAPE: An Unified Approach to Evaluate the Contribution and Cooperation of Individual Modalities. Pengbo Hu, Xingyu Li and Yi Zhou. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI’22). 2022.
2.DDDM: A Brain-Inspired Framework for Robust Classification. Xiyuan Chen, Xingyu Li, Yi Zhou and Tianming Yang. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI’22). 2022.
3.Transfer learning for fine-grained entity typing. Feng Hou, Ruili Wang, Yi Zhou Knowledge Information Systems. 63(4): 845-866. 2021.
4.Improving Entity Linking through Semantic Reinforced Entity Embeddings. Feng Hou, Ruili Wang, Jun He, Yi Zhou. ACL 2020: 6843-6848. 2020.
5.Visual Analytics of Genomic and Cancer Data: A Systematic Review. Zhonglin Qu, ChgnWei Lau, Yi Zhou, Quang Vinh Nguyen, Daniel R. Catchpoole. Cancer Informatics. 2019.
6.How Well Do Machines Perform on IQ test: a Comparison Study on a Large-Scale Dataset. Yusen Liu, Fangyuan He, Haodi Zhang, Guozheng Rao, Zhiyong Feng, Yi Zhou. In Proceedings of IJCAI’19. 2019.
7.KDSL: a Knowledge-Driven Supervised Learning Framework for Word Sense Disambiguation. Shi Yin, Yi Zhou, Chengguang Li, Shangfei Wang, Jianmin Ji, Xiaoping Chen and Ruili Wang. In Proceedings of IJCNN’19. 2019.
8.AiFu at SemEval-2019 Task 10: A Symbolic and Sub-symbolic Integrated System for SAT Math Question Answering. Keyu Ding, Yifan Liu, Yi Zhou, Binbin Deng, Chaoyang Peng, Dinglong Xue, Qinzhuo Wu, Qi Zhang and Enhong Chen). In Proceedings of NAACL’19. 2019.
9.Dual-enhanced Word Representations Based on Knowledge Base. Fangyuan He, Haodi Zhang, Zhiyong Feng and Yi Zhou. In Proceedings of International Semantic Web Conference 2018 (ISWC’18). 2018
10.From First-Order Logic to Assertional Logic. Yi Zhou. In Proceedings of AGI’17. 2017.
11.Integrating Answer Set Programming with Semantic Dictionaries for Robot Task Planning. Dongcai Lu, Yi Zhou, Feng Wu and Xiaoping Chen. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI’17). 2017.  
12.A Progression Semantics for First-Order Logic Programs. Yi Zhou, Yan Zhang, Artificial Intelligence. 250: 58-79. 2017.
13.A Game-Theoretical Characterization of the First-Order Indefinability of Answer Set Programs. Heng Zhang, Yi Zhou, Yan Zhang. Journal of Logic and Computation. 2017. 
14.First-Order Disjunctive Logic Programming vs Normal Logic Programming. Yi Zhou. In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI’15). 2015. 
15.Ordered Completion for Logic Programs with Aggregates. Vernon Asuncion, Yin Chen, Yan Zhang and Yi Zhou. Artificial Intelligence (AIJ). 224: 72-102. 2015. 
16.Knowledge Forgetting in Answer Set Programming. Yisong Wang, Yan Zhang Yi Zhou and Mingyi Zhang. Journal of Artificial Intelligence Research (JAIR). 50: 31-70. 2014. 
17.Preferred First-order Answer Set Programs. Vernon Asuncion, Yan Zhang, Yi Zhou. ACM Transaction on Computational Logic (TOCL). 15(2):11. 2014. 
From Disjunctive to Normal Logic Programs vi