Scholar
Chao Qian
Google Scholar ID: Gn5BXswAAAAJ
Nanjing University
Citations & Impact
Citations
2,703
H-index
29
i10-index
65
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Co-authored the book 'Evolutionary Learning: Advances in Theories and Algorithms' (Springer, 2019) and its Chinese version (Posts & Telecom Press, 2021)
- Won the Bronze Humies Award (Human Competitive Results) at ACM GECCO 2024 for chip placement research
- Received Best Paper Award at DATE 2025
- Published AI4Science work 'Reducing the Uncertainty in Estimating Soil Microbial Derived Carbon Storage' in PNAS, selected as one of China's Top Ten Scientific and Technological Advances in Ecological Environment in 2024
- Black-box optimization research reported by the National Natural Science Foundation of China
- Invited Editorial Board member of 'Artificial Intelligence' and 'Evolutionary Computation'
- Invited Associate Editor of 'IEEE Transactions on Evolutionary Computation' and 'IEEE Computational Intelligence Magazine'
- Program Co-Chair of PRICAI 2025
- Delivered an Early Career Spotlight Talk at IJCAI 2022, a keynote at MAEB 2025, and a tutorial at GECCO 2025 and CEC 2025
- Invited participant of the Dagstuhl Seminar 'Theory of Randomized Optimization Heuristics'
Background
- Professor, PhD Supervisor, and Assistant Dean at the School of Artificial Intelligence, Nanjing University
- Research interests include artificial intelligence, evolutionary computation, and machine learning
- Currently working on theoretical analysis of evolutionary algorithms, safe evolutionary algorithms with provable guarantees, efficient black-box optimization (e.g., Bayesian optimization, evolutionary strategies), learning to optimize, and evolutionary learning (including evolutionary reinforcement learning, deep learning, and ensemble learning)
- Applies evolutionary optimization methods to solve complex real-world problems in industry (e.g., electronic design automation) and science (e.g., geoscience)
- Member of the LAMDA Group
Co-authors