| 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 | 258 | 2022 |
| Derivative-free optimization via classification Y Yu, H Qian, YQ Hu Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 110 | 2016 |
| 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 | 85 | 2017 |
| 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 | 84 | 2022 |
| Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings. H Qian, YQ Hu, Y Yu IJCAI, 1946-1952, 2016 | 78 | 2016 |
| 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 | 69 | 2022 |
| 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 | 61 | 2017 |
| Derivative-free reinforcement learning: A review H Qian, Y Yu Frontiers of Computer Science 15 (6), 156336, 2021 | 49 | 2021 |
| PS-Tree: A piecewise symbolic regression tree H Zhang, A Zhou, H Qian, H Zhang Swarm and Evolutionary Computation 71, 101061, 2022 | 43 | 2022 |
| 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 | 43 | 2016 |
| Zoopt: Toolbox for derivative-free optimization YR Liu, YQ Hu, H Qian, C Qian, Y Yu arXiv preprint arXiv:1801.00329, 2017 | 36 | 2017 |
| 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 | 28 | 2016 |
| A comprehensive exploration of personalized learning in smart education: From student modeling to personalized recommendations S Wu, Y Cao, J Cui, R Li, H Qian, B Jiang, W Zhang arXiv preprint arXiv:2402.01666, 2024 | 21 | 2024 |
| Inductive cognitive diagnosis for fast student learning in web-based intelligent education systems S Liu, J Shen, H Qian, A Zhou Proceedings of the ACM Web Conference 2024, 4260-4271, 2024 | 19 | 2024 |
| 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 | 18 | 2023 |
| 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 | 15 | 2014 |
| Bi-objective evolutionary Bayesian network structure learning via skeleton constraint T Wu, H Qian, Z Liu, J Zhou, A Zhou Frontiers of Computer Science 17 (6), 176350, 2023 | 14 | 2023 |
| Noisy derivative-free optimization with value suppression H Wang, H Qian, Y Yu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 14 | 2018 |
| Symbolic cognitive diagnosis via hybrid optimization for intelligent education systems J Shen, H Qian, W Zhang, A Zhou Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14928 …, 2024 | 13 | 2024 |
| 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 | 12 | 2022 |
Prof. Aimin ZhouEast China Normal UniversityVerified email at cs.ecnu.edu.cn
