| Expressive power of parametrized quantum circuits Y Du, MH Hsieh, T Liu, D Tao Physical Review Research 2 (3), 033125, 2020 | 389 | 2020 |
| Experimental quantum generative adversarial networks for image generation HL Huang, Y Du, M Gong, Y Zhao, Y Wu, C Wang, S Li, F Liang, J Lin, ... Physical Review Applied 16 (2), 024051, 2021 | 237 | 2021 |
| Quantum circuit architecture search for variational quantum algorithms Y Du, T Huang, S You, MH Hsieh, D Tao npj Quantum Information 8 (1), 62, 2022 | 176* | 2022 |
| Quantum noise protects quantum classifiers against adversaries Y Du, MH Hsieh, T Liu, D Tao, N Liu Physical Review Research 3 (2), 023153, 2021 | 133 | 2021 |
| Efficient measure for the expressivity of variational quantum algorithms Y Du, Z Tu, X Yuan, D Tao Physical Review Letters 128 (8), 080506, 2022 | 131 | 2022 |
| Learnability of quantum neural networks Y Du, MH Hsieh, T Liu, S You, D Tao PRX quantum 2 (4), 040337, 2021 | 118 | 2021 |
| Recent advances for quantum neural networks in generative learning J Tian, X Sun, Y Du, S Zhao, Q Liu, K Zhang, W Yi, W Huang, C Wang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (10 …, 2023 | 80 | 2023 |
| Towards understanding the power of quantum kernels in the NISQ era X Wang, Y Du, Y Luo, D Tao Quantum 5, 531, 2021 | 77 | 2021 |
| QAOA-in-QAOA: solving large-scale MaxCut problems on small quantum machines Z Zhou, Y Du, X Tian, D Tao Physical Review Applied 19 (2), 024027, 2023 | 64 | 2023 |
| A grover-search based quantum learning scheme for classification Y Du, MH Hsieh, T Liu, D Tao new Journal of Physics 23 (2), 023020, 2021 | 57* | 2021 |
| Problem-dependent power of quantum neural networks on multiclass classification Y Du, Y Yang, D Tao, MH Hsieh Physical Review Letters 131 (14), 140601, 2023 | 42* | 2023 |
| Dyrep: Bootstrapping training with dynamic re-parameterization T Huang, S You, B Zhang, Y Du, F Wang, C Qian, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 40 | 2022 |
| The dilemma of quantum neural networks Y Qian, X Wang, Y Du, X Wu, D Tao IEEE Transactions on Neural Networks and Learning Systems, 1 - 13, 2022 | 39 | 2022 |
| Class-dependent label-noise learning with cycle-consistency regularization D Cheng, Y Ning, N Wang, X Gao, H Yang, Y Du, B Han, T Liu Advances in Neural Information Processing Systems 35, 11104-11116, 2022 | 38 | 2022 |
| Quantum differentially private sparse regression learning Y Du, MH Hsieh, T Liu, S You, D Tao IEEE Transactions on Information Theory 68 (8), 5217-5233, 2022 | 31 | 2022 |
| Symmetric Pruning in Quantum Neural Networks X Wang, J Liu, T Liu, Y Luo, Y Du, D Tao ICLR 2023, 2022 | 29 | 2022 |
| A distributed learning scheme for variational quantum algorithms Y Du, Y Qian, X Wu, D Tao IEEE Transactions on Quantum Engineering 3, 1-16, 2022 | 25* | 2022 |
| Efficient bipartite entanglement detection scheme with a quantum adversarial solver XF Yin, Y Du, YY Fei, R Zhang, LZ Liu, Y Mao, T Liu, MH Hsieh, L Li, ... Physical Review Letters 128 (11), 110501, 2022 | 25* | 2022 |
| On exploring the potential of quantum auto-encoder for learning quantum systems Y Du, D Tao IEEE Transactions on Neural Networks and Learning Systems, 2024 | 24* | 2024 |
| Unentangled quantum reinforcement learning agents in the openai gym JY Hsiao, Y Du, WY Chiang, MH Hsieh, HS Goan arXiv preprint arXiv:2203.14348, 2022 | 23 | 2022 |
Dacheng TaoNanyang Technological University在 ntu.edu.sg 的電子郵件地址已通過驗證
