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Hong Qian
Hong Qian
East China Normal University
Verified email at lamda.nju.edu.cn
Title
Cited by
Cited by
Year
Derivative-free optimization via classification
Y Yu, H Qian, YQ Hu
Thirtieth AAAI Conference on Artificial Intelligence, 2016
742016
Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings.
H Qian, YQ Hu, Y Yu
IJCAI, 1946-1952, 2016
472016
Sequential classification-based optimization for direct policy search
YQ Hu, H Qian, Y Yu
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
382017
Solving high-dimensional multi-objective optimization problems with low effective dimensions
H Qian, Y Yu
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
322017
Symbolic execution of complex program driven by machine learning based constraint solving
X Li, Y Liang, H Qian, YQ Hu, L Bu, Y Yu, X Chen, X Li
2016 31st IEEE/ACM International Conference on Automated Software …, 2016
302016
Scaling simultaneous optimistic optimization for high-dimensional non-convex functions with low effective dimensions
H Qian, Y Yu
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
192016
Zoopt: Toolbox for derivative-free optimization
YR Liu, YQ Hu, H Qian, Y Yu, C Qian
arXiv preprint arXiv:1801.00329, 2017
172017
The sampling-and-learning framework: A statistical view of evolutionary algorithms
Y Yu, H Qian
2014 IEEE Congress on Evolutionary Computation (CEC), 149-158, 2014
142014
Noisy derivative-free optimization with value suppression
H Wang, H Qian, Y Yu
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
112018
Black-box tuning for language-model-as-a-service
T Sun, Y Shao, H Qian, X Huang, X Qiu
arXiv preprint arXiv:2201.03514, 2022
72022
Derivative-free reinforcement learning: a review
H Qian, Y Yu
Frontiers of Computer Science 15 (6), 1-19, 2021
62021
On sampling-and-classification optimization in discrete domains
H Qian, Y Yu
2016 IEEE Congress on Evolutionary Computation (CEC), 4374-4381, 2016
62016
Zoopt/zoojl: Toolbox for derivative-free optimization
YR Liu, YQ Hu, H Qian, Y Yu, C Qian
arXiv preprint arXiv:1801.00329, 2017
32017
Expensive Multiobjective Optimization by Relation Learning and Prediction
H Hao, A Zhou, H Qian, H Zhang
IEEE Transactions on Evolutionary Computation, 2022
22022
Asynchronous classification-based optimization
YR Liu, YQ Hu, H Qian, Y Yu
Proceedings of the First International Conference on Distributed Artificial …, 2019
22019
PS-Tree: A piecewise symbolic regression tree
H Zhang, A Zhou, H Qian, H Zhang
Swarm and Evolutionary Computation 71, 101061, 2022
12022
BBTv2: Pure Black-Box Optimization Can Be Comparable to Gradient Descent for Few-Shot Learning
T Sun, Z He, H Qian, X Huang, X Qiu
arXiv preprint arXiv:2205.11200, 2022
12022
Machine learning steered symbolic execution framework for complex software code
L Bu, Y Liang, Z Xie, H Qian, YQ Hu, Y Yu, X Chen, X Li
Formal Aspects of Computing 33 (3), 301-323, 2021
12021
Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games
RJ Qin, FM Luo, H Qian, Y Yu
arXiv preprint arXiv:2208.09452, 2022
2022
The Teaching Dimension of Regularized Kernel Learners
H Qian, XH Liu, CX Su, A Zhou, Y Yu
International Conference on Machine Learning, 17984-18002, 2022
2022
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