Chunnan Wang Author

Hongzhi Wang is a Tenured Professor, Director of the Department of Computer Science and Engineering, Director of the Massive Data Computing Research Center, Leader of the Data Science and Big Data Technology Program, Director of the Heilongjiang Key Laboratory of Big Data Science and Engineering, and Head of the Youth Scientist Studio at Harbin Institute of Technology (HIT), also serving as Secretary-General of the Alumni Association of the School of Computing. A Distinguished Member of the China Computer Federation (CCF) and IEEE Senior Member, his research focuses on databases, big data management and analysis, and big data governance. He has published over 350 papers, with more than 100 indexed by SCI and over 5,000 citations. He has presided over more than 10 projects including National Natural Science Foundation of China (NSFC) Key Projects and international cooperation programs, and participated in several national, provincial and ministerial key projects as a core member. His honors include Heilongjiang Provincial Teaching Master, Young Longjiang Scholar, Microsoft Scholar, and he is a member of the Heilongjiang "Leading Goose Program" team, having won one Heilongjiang Provincial Natural Science Award and one Ministry of Education University Science and Technology Progress Award.

Chunnan Wang, a PhD graduate from the Massive Data Computing Research Center of HIT, is currently a Senior Researcher at Tencent Singapore. Her doctoral research focused on automated machine learning (AutoML). She has published over 20 papers in top international journals and conferences such as TKDE, TKDD, ICDE, and CVPR, including 15 as the first author. She has proposed effective AutoML solutions for diverse functional requirements, application scenarios, and machine learning tasks, significantly lowering the threshold for machine learning adoption with substantial practical value. During her doctoral studies, she received the National Scholarship, Tencent Scholarship, and was selected as a Tencent Technology Master.

Tianyu Mu holds a Ph.D. in Computer Science and Technology from HIT and is currently a Senior Algorithm Engineer at Huawei Cloud Computing Technology Co., Ltd.. His research focuses on Automated Machine Learning (AutoML), specializing in algorithm selection, hyperparameter optimization, and time series analysis. He aims to build efficient, scalable automated modeling systems using meta-learning and reinforcement learning. As the first author, he has published papers in top-tier venues including VLDB, ICDE (2023/2024/2025), and Information Sciences. His representative contributions include TSC-AutoML (a meta-learning-based framework for time series classification) and ShrinkHPO (an explainable parallel hyperparameter optimization algorithm). At Huawei Cloud, he focuses on cloud-based hardware failure prediction systems and intelligent operation algorithms for large-scale cloud infrastructures.

Yusi Yang is a PhD candidate at HIT’s School of Computing Science and Technology. She has won awards in national and provincial competitions such as the "Datang Cup" National University Student Information and Communication Technology Competition.