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Chao Qian (钱 超)副教授,博导,国家优青 Office: Room A502, International College Area, Xianlin Campus Address:163 Xianlin Avenue, Nanjing, Jiangsu, China, 210023 Email: qianc at nju dot edu dot cn, qianc at lamda dot nju dot edu dot cn |
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I received my B.Sc. and Ph.D. degrees in the Department of Computer Science and Technology from Nanjing University in 2009 and 2015, respectively, under the supervision of Prof. Zhi-Hua Zhou. From 2015 to 2019, I was an associate researcher in the School of Computer Science and Technology, University of Science and Technology of China. I am currently an associate professor in the School of Artificial Intelligence, Nanjing University. I am also a member of LAMDA Group, and visited the University of the Basque Country (Spain) and the University of Birmingham (UK), respectively.
My research interests include artificial intelligence, evolutionary computation and machine learning. Now I am working on
- Theoretical analysis of evolutionary algorithms
- Designing safe evolutionary algorithms, i.e., evolutionary algorithms with provable approximation guarantee
- Designing efficient evolutionary algorithms, e.g., Bayesian optimization, learning to optimize, evolutionary gradient optimization and cooperative coevolution
- Evolutionary learning, particularly evolutionary reinforcement learning, deep learning, ensemble learning and multi-task learning
- Applications to solve real-world complex problems, e.g., optimization of biodiversity curve, wireless network parameter and supply chain
- I have been invited to give an Early Career Spotlight Talk "Towards Theoretically Grounded Evolutionary Learning" at IJCAI 2022
- I have been invited to be an Associate Editor of IEEE Transactions on Evolutionary Computation
- I (together with Aneta Neumann and Per Kristian Lehre) organize a Special Issue of Theoretical Computer Science titled "Theoretical Foundations of Evolutionary Computation" Submission Deadline: March 31, 2022
- I (together with Aneta Neumann and Frank Neumann) will give a tutorial "Evolutionary Submodular Optimisation" at GECCO 2022
- I (together with Aneta Neumann and Frank Neumann) will organize a competition "Evolutionary Submodular Optimisation" at GECCO 2022
- I will give a tutorial "Pareto Optimization for Subset Selection: Theories and Practical Algorithms" at WCCI 2022
- I (together with Aneta Neumann and Per Kristian Lehre) will organize a special session "Theoretical Foundations of Bio-inspired Computation" at WCCI 2022
- I (together with Leonardo Franco and Manuel Ojeda-Aciego) will organize "IEEE Symposium on Foundations of Computational Intelligence (IEEE FOCI)" at SSCI 2022
- I was invited to attend the Dagstuhl Seminar "Theory of Randomized Optimization Heuristics"
Book
Journal Article (* indicates that I am the corresponding author)
Conference Paper (* indicates my student)
Technical Report (* indicates my student)
Native Paper
PhD Students
Master Students
Undergraduate Students
Chair of IEEE Computational Intelligence Society (CIS) Task Force on Theoretical Foundations of Bio-inspired Computation 2018 - 2021
Vice Chair of IEEE Computational Intelligence Society (CIS) Task Force on Theoretical Foundations of Bio-inspired Computation 2022 -
Vice Chair of IEEE CIS Students Activities Committee 2021 -
Member of Evolutionary Computation Technical Committee 2021 -
IEEE Senior Member
"Evolutionary Submodular Optimisation" at GECCO 2021 (together with Aneta Neumann and Frank Neumann)
"Pareto Optimization for Subset Selection: Theories and Practical Algorithms" at CEC 2021 (together with Yang Yu)
"Pareto Optimization for Subset Selection: Theories and Practical Algorithms" at PPSN 2020 [Slides] (together with Yang Yu)
"Pareto Optimization for Subset Selection: Theories and Practical Algorithms" at WCCI 2020 [Slides] (together with Yang Yu)
"Pareto Optimization for Subset Selection: Theories and Practical Algorithms" at CEC 2019 [Slides] (together with Yang Yu)
"Pareto Optimization for Subset Selection: Theory and Applications in Machine Learning " at WCCI 2018 [Slides] (together with Yang Yu)
"An Introduction on Theory of Evolutionary Optimization" at ECOLE 2016 (第三届演化计算与学习研讨会) [Slides]
"IEEE Symposium on Foundations of Computational Intelligence (IEEE FOCI)" at SSCI 2021 (together with Pietro S. Oliveto, Manuel Ojeda-Aciego, and Leonardo Franco)
"IEEE Symposium on Foundations of Computational Intelligence (IEEE FOCI)" at SSCI 2020 (together with Pietro S. Oliveto, Manuel Ojeda-Aciego, and Leonardo Franco)
"Theoretical Foundations of Bio-inspired Computation" at CEC 2021 (together with Per Kristian Lehre and Aneta Neumann)
"Theoretical Foundations of Bio-inspired Computation" at WCCI 2020 (together with Per Kristian Lehre and Aneta Neumann)
"Theory of Bio-Inspired Computation" at CEC 2019 (together with Mojgan Pourhassan and Frank Neumann)
"Evolutionary Optimization for Non-Convex Machine Learning" at WCCI 2018 (together with Ke Tang and Yang Yu)
"Multi-objective Evolutionary Learning: Advances in Theories and Algorithms" at MLA 2021 (第十九届中国机器学习及其应用研讨会)
"Result Diversification by Multi-objective Evolutionary Algorithms" at ThRaSH 2021 (Theory of Randomized Search Heuristics Workshop)
"Towards Safe Evolutionary Optimization" at JSAI 2020 (2020年江苏省人工智能学术会议) [Slides]
"Multi-objective Evolutionary Learning: Advances in Theories and Algorithms" at ECOLE 2019 (第六届演化计算与学习研讨会) [Slides]
"Subset Selection by Pareto Optimization: Theories and Practical Algorithms" at ECOLE 2018 (第五届演化计算与学习研讨会) [Slides]
Associate Editor of IEEE Transactions on Evolutionary Computation 2022 -
Editorial Board Member of Memetic Computing 2021 -
Editorial Board Member of Communications of The CCF 2021 -
Young Associate Editor of Journal of Computer Science and Technology 2021 -
Young Associate Editor of Frontiers of Computer Science 2019 -
Guest Co-Editor (together with Yang Yu) of a Special Issue of Journal of Software entitled "Evolutionary Learning" (软件学报演化学习专刊) 2018
Algorithmica
Applied Soft Computing
Artificial Intelligence
ACM Transactions on Intelligent Systems and Technology
ACM Transactions on Knowledge Discovery from Data
Evolutionary Computation
Expert Systems with Applications
IEEE Computational Intelligence Magazine
IEEE Transactions on Affective Computing
IEEE Transactions on Cognitive and Developmental Systems
IEEE Transactions on Computational Social Systems
IEEE Transactions on Cybernetics
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Emerging Topics in Computational Intelligence
IEEE Transactions on Image Processing
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Network Science and Engineering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Sciences
International Journal of Computer Mathematics
Journal of Machine Learning Research
Knowledge-Based Systems
Machine Learning
Mathematics and Computers in Simulation
Neurocomputing
Neural Networks
Pattern Recognition Letters
Swarm and Evolutionary Computation
SCIENCE CHINA Information Sciences
Theoretical Computer Science
Transactions on Machine Learning Research
中国科学
软件学报
计算机学报
自动化学报
2022: AAAI, AISTATS, AutoML, GECCO (Theory Track), ICML, IJCAI (Senior PC), NeurIPS, PPSN
2021: AAAI, AISTATS, CICAI (Area Chair), FOGA, GECCO (Theory Track), ICML, IJCAI (Senior PC), NeurIPS
2020: ACML, AAAI, AISTATS, ECAI (Senior PC), GECCO (Theory Track), ICML, IJCAI (Senior PC), LOD, PPSN
2019: ACML, AAAI, AISTATS, FOGA, GECCO (Theory Track), ICML, IJCAI, IJCNN, KDD, LOD, NeurIPS, PAKDD, PRICAI, SSCI
2018: ACML, AAAI, AISTATS, GECCO (Theory Track), ICML, IJCAI, IJCNN, LOD, NeurIPS, PAKDD, PRICAI, SSCI
2017: ACML, AAAI, AISTATS, CEC, GECCO (Theory Track), IJCAI (Senior PC), IJCNN, MOD, NIPS, SDM, SEAL, SSCI
2016: ACML, CEC, GECCO (Theory Track), ICPR, IJCAI, MOD, NIPS, PRICAI, SSCI
2015: IJCAI, SSCI