Some Recent Publications
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Z.-H. Zhou.
Stream efficient learning.
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Z.-H. Zhou, Z.-H. Tan.
Learnware: Small models do big.
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Z.-H. Zhou.
Open-environment machine learning. National Science Review, 2022, 9(8): nwac123.
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Z.-H. Zhou.
Rehearsal: Learning from prediction to decision. Frontiers of Computer Science, 2022, 16(4): 164352.
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Z.-H. Zhou, Y.-X. Huang.
Abductive learning. In: P. Hitzler and M. K. Sarker eds., Neuro-Symbolic Artificial Intelligence, IOP Press, Amsterdam, 2022, p.353-379.
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Z.-H. Zhou.
Machine Learning, Springer, 2021.(ISBN 978-981-15-1966-6)
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S.-Q. Zhang, Z.-H. Zhou.
Flexible Transmitter Network. Neural Computation, 2021, 33(11): 2951-2970.
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Z.-H. Zhou, Y. Yu, C. Qian.
Evolutionary Learning: Advances in Theories and Algorithms, Springer, 2019. (ISBN 978-981-13-5955-2)
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Z.-H. Zhou, J. Feng.
Deep Forest. National Science Review, 2019, 6(1): 74-86.
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Z.-H. Zhou.
A brief introduction to weakly supervised learning. National Science Review, 2018, 5(1): 44-53.