个人信息

王焯，太阳集团8722c助理教授、特别副研究员、硕士生导师。

2023年于清华大学计算机系获得工学博士学位，师从王建勇教授（IEEE Fellow, CAAI Fellow）。2023年-2024年在蚂蚁集团任高级算法工程师（蚂蚁星），后加入太阳集团网址8722。

入选太阳集团网址8722高层次人才引进计划A序列，在数据挖掘、机器学习以及医疗等多个领域的国际顶级会议和期刊发表论文9篇，其中以第一作者身份在TPAMI、NeurIPS、AAAI等国际顶级会议和期刊发表论文4篇，发明专利申请获授权1项。

课题组常年与哈佛大学、康奈尔大学、悉尼大学 、加州大学洛杉矶分校、香港科技大学、清华大学、中国科学院计算技术研究所等国际国内顶尖研究团队开展学术合作，与华为中央研究院、理想汽车、国家电网建立了长期校企合作关系。课题组每年招收多名博士和硕士研究生，欢迎对人工智能与脑科学等相关领域研究有兴趣的同学加入。

科研方向

类脑智能算法，可解释学习，神经符号学习，大模型复杂推理

代表性学术成果

学术论文：

[1] Zhuo Wang, Wei Zhang, Ning Liu, and Jianyong Wang. "Learning Interpretable Rules for Scalable Data Representation and Classification." IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. (TPAMI, Full Paper, CCF-A, IF = 20.8)

 

[2] Zhuo Wang, Wei Zhang, Ning Liu, and Jianyong Wang. "Scalable Rule-Based Representation Learning for Interpretable Classification." Advances in Neural Information Processing Systems, 2021. (NeurIPS, Full Paper, CCF-A)

[3] Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang. "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization." AAAI Conference on Artificial Intelligence, 2020. (AAAI, Full Paper, Oral Presentation, CCF-A)

[4] Zhuo Wang, Jie Wang, Ning Liu, Caiyan Liu, Xiuxing Li, Liling Dong, Rui Zhang, Chenhui Mao, Zhichao Duan, Wei Zhang, Jing Gao, Jianyong Wang. "Learning Cognitive-Test-Based Interpretable Rules for Prediction and Early Diagnosis of Dementia using Neural Networks." Journal of Alzheimer's Disease (2022). (JAD, Article, SCI, IF = 4.160)

[5] Wei Zhang, Junbing Yan, Zhuo Wang, and Jianyong Wang. "Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based Recommendation." The Web conference, 2022. (WWW, Full Paper, CCF-A)

[6] Jie Wang, Zhuo Wang, Ning Liu, Caiyan Liu, Chenhui Mao, Liling Dong, Jie Li, Xinying Huang, Dan Lei, Shanshan Chu, Jianyong Wang, and Jing Gao. "Random Forest Model in the Diagnosis of Dementia Patients with Normal Mini-Mental State Examination Scores." Journal of Personalized Medicine 12, no. 1 (2022): 37. (JPM, Article, SCI, IF = 3.508)

[7] Zhichao Duan, Xiuxing Li, Zhenyu Li, Zhuo Wang, and Jianyong Wang. "Not Just Plain Text! Fuel Document-Level Relation Extraction with Explicit Syntax Refinement and Subsentence Modeling." In Findings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022. (EMNLP, Full Paper, findings, CCF-B)

[8] Bowen Dong*, Zhuo Wang*, Zhenyu Li, Zhichao Duan, Jiacheng Xu, Tengyu Pan, Rui Zhang, Ning Liu, Xiuxing Li, Jie Wang, Caiyan Liu, Liling Dong, Chenhui Mao, Jing Gao, and Jianyong Wang. "Toward a Stable and Low-resource PLM-based Medical Diagnostic System via Prompt Tuning and MoE Structure." Scientific Reports, 2023.

[9] Wei Zhang, Yongxiang Liu, Zhuo Wang, Jianyong Wang. Learning to binarize continuous features for neuro-rule networks. In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023. (IJCAI, Full Paper, CCF-A)

[10] Zhuo Wang, Rongzhen Li, Bowen Dong, Jie Wang, Xiuxing Li, Ning Liu, Chenhui Mao, Wei Zhang, Liling Dong, Jing Gao, Jianyong Wang. Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today.

承担科研情况

所获奖励

社会兼职

曾担任ACM SIGKDD、AAAI、ACM SIGIR、ACM Web Conference、CIKM、WSDM、ICDM、PKDD和PAKDD等国际顶级会议审稿人工作。

备注

太阳集团8722c脑机接口与类脑智能研究中心每年招收博士研究生和硕士研究生多名，欢迎感兴趣的同学联系我们！

本中心常年招收脑机接口与类脑智能方向博士后研究员以及校企联合培养博士后研究员，优秀申请者可以推荐至学校参评特立博后和国际交流项目。

此外，本中心长期招收校内外实习生，有继续深造意愿，希望攻读硕士/博士学位，掌握深度学习、脑科学基础、有竞赛经历申请者优先！

中心研究经费充足，拥有多台华为昇腾910系列高性能显卡服务器和NVIDIA L40S、A100以及H100高性能显卡计算集群，期待加入！

最新文章列表可关注：https://scholar.google.com/citations?user=uXC8w-cAAAAJ&hl=zh-CN

脑机接口与类脑智能研究中心网站：https://bit-brilliant-lab.github.io/