生命科学学院 理学院 工学院

王东林博士

Donglin Wang, Ph.D

“简简单单做人,全心全意科研。希望能为西湖高研院的崛起和腾飞贡献自己的一份力量。期待高研院未来能够成为矗立在西子湖畔的世界一流研究中心。”

个人简介

王东林,1999年进入西安交通大学信息工程系,2003、2006年分别获学士和硕士学位;2010年获加拿大卡尔加里大学电子与计算机工程系博士学位。随后在加拿大iRadio Lab从事博士后研究工作,2011年底加入美国纽约理工学院电子与计算机工程系担任助理教授,2016年晋升副教授。2017年9月全职加盟西湖大学,担任工学院特聘研究员,副教授,机器智能实验室PI。

学术成果

机器智能实验室(MiLAB)主要从事机器人学习(Robot Learning)领域的研究,包括机器学习算法、机器人智能化和数据挖掘算法等。

        1. 深度强化学习理论和机器人应用

        2. 元学习理论、小样本学习理论和机器人应用

        3. 机器人智能化:基于机器学习算法的机器人高度灵活性、快速适应性、持续记忆和VLN导航

近期发表论文

[1] Tian, G. Wang, J. Liu, D. Wang and Y. Kang, “Independent Skill Transfer for Deep Reinforcement Learning,” International Joint Conferences on Artificial Intelligence (IJCAI), IJCAI-PRICAI 2020, Yokohama Japan, 2020.

[2] M. Zhang, D. Wang and S. Gai, "Knowledge Distillation for Model-agnostic Meta-learning," 24th European Conference on Artificial Intelligence (ECAI 2020), Santiago de Compostela, Spain, 2020.

[3] J. Liu, Q. Tian, D. Wang and X. Yang, "RDRM: Residual Dual-Recurrent Model for Multivariate Long-Term Time-Series Prediction," International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 2020.

[4] Y. Kang, S. Gai, F. Zhao, D. Wang and A. Tang, "Deep Transfer Collaborative Filtering with Geometric Structure Preservation for Cross-Domain Recommendation," International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 2020.

[5] Q. Tian*, J. Liu*, D. Wang and A. Tang, "Time Series Prediction with Interpretable Data Reconstruction," Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), Beijing, 2019. (*Equal Contribution)

[6] S. Huang, D. Wang, X. Wu and A. Tang, “DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting," Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), Beijing, 2019.

[7] Z. Chen, S. Gai and D. Wang, "Deep Tensor Factorization for Multi-Criteria Recommender Systems," IEEE International Conference on Big Data (BigData), Los Angeles, LA, 2019.

[8] S. Gai, F. Zhao, Y. Kang, D. Wang, and A. Tang, "Deep Transfer Collaborative Filtering for Recommender Systems," The Pacific Rim International Conferences on Artificial Intelligence (PRICAI), Yanuca Island, Cuvu, Fiji, 2019.

[9] Y. Kang, F. Zhao, S. Gai, D. Wang, Z. Chen and Y. Luo, "Cross-Domain Deep Collaborative Filtering for Recommendation," IEEE International Conference on Data Mining (ICDM) Workshops, Beijing, 2019.

[10] P. Gao, Z. Liu, Z. Wu and D. Wang, "A Global Planning Algorithm for Robots Using Reinforcement Learning," IEEE Robio, 2019.

[11] D. Wang, M. Fattouche and X. Zhan, "Pursuance of mm-Level Accuracy: Ranging and Positioning in mmWave Systems," in IEEE Systems Journal, vol. 13, no. 2, pp. 1169-1180, 2019.

[12] D. Wang, M. Fattouche, F. M. Ghannouchi and X. Zhan, "Quasi-Optimal Subcarrier Selection Dedicated for Localization With Multicarrier-Based Signals," in IEEE Systems Journal, vol. 13, no. 2, pp. 1157-1168, 2019.

[13] D. Wang, T. Wang, F. Zhao and X. Zhang, "Improved Graph-Based Semi-Supervised Learning for Fingerprint-Based Indoor Localization," IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, UAE, Dec. 2018.

联系方式

 电子邮箱:wangdonglin@westlake.edu.cn

实验室招聘及专业要求

        1. 招聘研究员、副研究员、助理研究员:要求具有深度学习或强化学习研究背景,协助指导博士生;

        2. 招聘博士后:计算机、通信、控制、人工智能等信息类专业博士均可,要求发表过至少一篇高质量论文;

        3. 招聘科研助理:计算机、通信、控制等相关专业背景,要求具有深度学习经验,程序能力强;

        4. 招聘实习生或访问学生:了解深度学习,要求程序能力或数学能力好。


        请有意向者发简历到MiLAB实验室邮箱: mi_lab@westlake.edu.cn。合适的申请人我们会及时联系;由于收到申请邮件较多,不满足岗位需求的将不予回复,请见谅。