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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
Black-box tuning for language-model-as-a-service
T Sun, Y Shao, H Qian, X Huang, X Qiu
International Conference on Machine Learning, 20841-20855, 2022
1692022
Derivative-free optimization via classification
Y Yu, H Qian, YQ Hu
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
1012016
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
752017
Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings.
H Qian, YQ Hu, Y Yu
IJCAI, 1946-1952, 2016
722016
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
522017
Bbtv2: Towards a gradient-free future with large language models
T Sun, Z He, H Qian, Y Zhou, X Huang, X Qiu
arXiv preprint arXiv:2205.11200, 2022
492022
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
Proceedings of the 31st IEEE/ACM International Conference on Automated …, 2016
412016
Derivative-free reinforcement learning: a review
H Qian, Y Yu
Frontiers of Computer Science 15 (6), 156336, 2021
382021
Expensive multiobjective optimization by relation learning and prediction
H Hao, A Zhou, H Qian, H Zhang
IEEE Transactions on Evolutionary Computation 26 (5), 1157-1170, 2022
362022
PS-Tree: A piecewise symbolic regression tree
H Zhang, A Zhou, H Qian, H Zhang
Swarm and Evolutionary Computation 71, 101061, 2022
282022
Zoopt: Toolbox for derivative-free optimization
YR Liu, YQ Hu, H Qian, C Qian, Y Yu
arXiv preprint arXiv:1801.00329, 2017
282017
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
242016
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
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
112018
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
102022
On the opportunities of green computing: A survey
Y Zhou, X Lin, X Zhang, M Wang, G Jiang, H Lu, Y Wu, K Zhang, Z Yang, ...
arXiv preprint arXiv:2311.00447, 2023
92023
On sampling-and-classification optimization in discrete domains
H Qian, Y Yu
2016 IEEE Congress on Evolutionary Computation (CEC), 4374-4381, 2016
92016
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
62021
QCCDM: A Q-Augmented Causal Cognitive Diagnosis Model for Student Learning
S Liu, H Qian, M Li, A Zhou
Proceedings of the 26th European Conference on Artificial Intelligence (ECAI …, 2023
42023
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
42022
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