Zhumin Chen
PhD, Professor, PhD Advisor, Outstanding Graduate Advisor of Shandong Province，Outstanding Individual in Artificial Intelligence of Qingdao
Associate Dean of School of Artifical IntelligenceAssociate Dean of Meta-Computing Research Institute Deputy Director of the Ministry of Education Engineering Research Center for Digital Chain Integration Technology Chief Scientist of the Key Laboratory of Humanities and Natural Sciences Collaborative Innovation of Shandong Province Vice President of Qingdao Artificial Intelligence Industry Association
Bio
Zhumin Chen currently is a professor of Shandong University. He is a member of the Natural Language Processing Committee, Biomedical and Health Information Processing Committee, Information Retrieval Committee, Social Media Processing Committee, ACM, and Distinguished Committee of China Computer Federation (CCF). He has visited Purdue University, Microsoft Research Asia. His research interests mainly include natural language processing, artificial intelligence, and big data processing. His research is supported by National Key Research and Development Program, Natural Science Fund of China, Key Science and Technology Innovation Project of Shandong Province, Natural Science Fund of Shandong Province, Excellent Middle-Aged and Youth Scientists of Shandong Province, Postdoctoral Fund of china, et al. He has published more than 150 papers on ACL, SIGIR, WWW, KDD, NeurIPS, ICLR, AAAI, EMNLP, CIKM, COLING, WSDM, TKDE, TOIS, TACL, TKDD, JASIST, IRJ, JCST, Neurocomputing, Physica A, Soft Computing et al. He and his supervised students get the Best Paper Honorable Mention of SIGIR 2024、 the Best Full Paper Runner-up Award of WSDM2024、 the Outstanding Paper Award of EMNLP2023, the Best Full Paper Runner-up Award of CIKM2017, the Best Student Paper Award of NLPCC2013. He has won the Science and Technology Progress First Prize of Shandong Province, the Outstanding Graduate Advisor of Shandong Province, the Best Master Thesis Guidance Award of Shandong Province. He and his team have developed an integrated platform for large models and a series of large models, including government models, smart TV models, urban rail models, building models, medical models, etc. They have developed the Shanda Intelligent Assistant, which has been launched for use by all teachers and students in the school, fully empowering teaching, research, service and management.
Research Interests
- Natural language processing (Large Language Model, Dialogue, Qustion Answering, Knowledge Graph, Document Summarization)
- Big Data on Healthcare (Medical IR, Health Information Recommendation, Big Health Data Mining, Intelligent Decision)
- Recommendation System (Product Recommendation, Social Recommendation, Video Recommendation, Session Recommendation, Cross-domain Recommendation)
Research Experience
- 12/2014-12/2015: Visiting Scholar, Purdue University, USA
- 2/2012-8/2012: Visiting Scholar, Microsoft Research Asia
Services
Reviewer of SIGIR, WWW, ACL, IJCAI, AAAI, WSDM, EMNLP, CIKM,
COLING, NLPCC, AIRS, CCL, IEEE Transactions on Knowledge and Data Engineering, ACM
Transactions on Information Systems, IEEE Transactions on Neural Networks and Learning
Systems, IEEE Transactions on Big Data, Science China Information Sciences, Journal of the
Association for Information Science and Technology, JCST, Frontiers of Computer Science,
Neural Processing Letters, Neurocomputing, Physica A, Neural Computing and Applications,
Information Technology and Management, Future Generation Computer Systems, International
Journal of Machine Learning and Cybernetics, Transactions on Asian and Low-Resource Language
Information Processing.
Outstanding reviewer of SIGIR'17.