祝恒书,中国科学院计算机网络信息中心研究员,博士生导师,科学数据智能与创新实验室主任。分别于2009年和2014年在中国科学技术大学获学士和博士学位,期间作为国家公派联培博士在美国罗格斯大学进行学术访问。长期从事大数据、人工智能与交叉科学领域的科研工作,曾在百度等多个互联网上市企业担任高级技术管理岗位,拥有丰富的产业级创新产品落地经验。主持包括国家重点研发项目课题、中国科学院院级人才项目(领军类)在内的国家、省部级科研项目及校企合作项目10余项。在Nature Cities, Nature Communications, TKDE, TOIS, KDD, ICDE, SIGIR, NeurIPS, AAAI, IJCAI等国际顶级学术期刊和会议上发表论文200余篇,多次荣获年度最佳论文奖或提名奖。主持研发了IEEE 3154-2024国际标准及多个人工智能领域的国家行业标准,公开国际国内专利100余项。入选中国科学院百人计划A类,曾荣获教育部自然科学一等奖、中国管理科学学会管理科学奖(学术类)、中国智库索引CTTI年度智库研究优秀成果一等奖、中国人工智能学会优博论文奖、中国科学院百篇优博论文奖、中国科学院院长特别奖,获评北京市高端领军人才正高级工程师、中国计算机学会(CCF)杰出会员,连续入选了美国斯坦福大学评选的“全球前2%顶尖科学家”榜单,并被《麻省理工科技评论》评为“2023年中国智能计算创新人物”。
1,Ying Sun, Hengshu Zhu*, Lu Wang, Le Zhang, Hui Xiong, Large-scale online job search behaviors reveal labor market shifts amid COVID-19, Nature Cities, 1(2): 150-163, 2024
2,Ying Sun, Fuzhen Zhuang, Hengshu Zhu*, Qi Zhang, Qing He, Hui Xiong, Market-oriented Job Skill Valuation with Cooperative Composition Neural Network, Nature Communications, 12(1): 1-12, 2021
3,Yuyang Ye, Hengshu Zhu*, Tianyi Cui, Runlong Yu, Le Zhang, Hui Xiong, University Evaluation Through Graduate Employment Prediction: An Influence Based Graph Autoencoder Approach, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 36(11): 7255-7267, 2024
4,Qi Zhang, Hengshu Zhu*, Qi Liu, Enhong Chen, Hui Xiong, Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results, ACM Transactions on Information Systems (ACM TOIS), 39(3): 1-32, 2021
5,Zhenyu Tong, Chuan Qin, Chuyu Fang, Kaichun Yao, Xi Chen, Jingshuai Zhang, Chen Zhu, Hengshu Zhu*, From Missteps to Mastery: Enhancing Low-Resource Dense Retrieval through Adaptive Query Generation, Proceedings of the 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2025), 2025
6,Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu*, Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning, Proceedings of the 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2024), 2024
7,Yaming Guo, Chen Zhu, Hengshu Zhu*, Tieru Wu, OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation, Proceedings of 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), 2024
8,Xiao Hu, Yuan Cheng, Zhi Zheng, Yue Wang, Xinxin Chi, Hengshu Zhu*, BOSS: A Bilateral Occupational-Suitability-Aware Recommender System for Online Recruitment, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), 2023
9,Kaichun Yao, Jingshuai Zhang, Chuan Qin, Peng Wang, Hengshu Zhu*, Hui Xiong, Knowledge Enhanced Person-Job Fit for Talent Recruitment, Proceedings of the 38th IEEE International Conference on Data Engineering (ICDE 2022), 2022
10,Ying Sun, Hengshu Zhu*, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong, Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation, Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021