| Understanding and utilizing deep neural networks trained with noisy labels P Chen, BB Liao, G Chen, S Zhang International conference on machine learning, 1062-1070, 2019 | 444 | 2019 |
| Any AND-OR formula of size N can be evaluated in time N^{1/2+o(1)} on a quantum computer A Ambainis, AM Childs, BW Reichardt, R Špalek, S Zhang SIAM Journal on Computing 39 (6), 2513-2530, 2010 | 245 | 2010 |
| Deepopf: A deep neural network approach for security-constrained dc optimal power flow X Pan, T Zhao, M Chen, S Zhang IEEE Transactions on Power Systems 36 (3), 1725-1735, 2020 | 182 | 2020 |
| Distributed rate allocation for inelastic flows H Prashanth, S Zhang, M Chiang Networking, IEEE/ACM Transactions on 15 (6), 1240-1253, 2007 | 176* | 2007 |
| Contextual combinatorial cascading bandits S Li, B Wang, S Zhang, W Chen International conference on machine learning, 1245-1253, 2016 | 150 | 2016 |
| Algorithms for Trip-Vehicle Assignment in Ride-Sharing X Bei, S Zhang The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018 | 149 | 2018 |
| Differentiable quantum architecture search SX Zhang, CY Hsieh, S Zhang, H Yao Quantum Science and Technology 7 (4), 045023, 2022 | 138 | 2022 |
| On the power of Ambainis lower bounds S Zhang Theoretical Computer Science 339 (2-3), 241-256, 2005 | 114 | 2005 |
| Rethinking the usage of batch normalization and dropout in the training of deep neural networks G Chen, P Chen, Y Shi, CY Hsieh, B Liao, S Zhang arXiv preprint arXiv:1905.05928, 2019 | 100 | 2019 |
| Distributed rate allocation for inelastic flows: Optimization frameworks, optimality conditions, and optimal algorithms M Chiang, S Zhang, P Hande Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and …, 2005 | 96 | 2005 |
| Asymptotically optimal circuit depth for quantum state preparation and general unitary synthesis X Sun, G Tian, S Yang, P Yuan, S Zhang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2023 | 90 | 2023 |
| Personalized fairness-aware re-ranking for microlending W Liu, J Guo, N Sonboli, R Burke, S Zhang Proceedings of the 13th ACM conference on recommender systems, 467-471, 2019 | 87 | 2019 |
| TensorCircuit: a quantum software framework for the nisq era SX Zhang, J Allcock, ZQ Wan, S Liu, J Sun, H Yu, XH Yang, J Qiu, Z Ye, ... Quantum 7, 912, 2023 | 86 | 2023 |
| Neural predictor based quantum architecture search SX Zhang, CY Hsieh, S Zhang, H Yao Machine Learning: Science and Technology 2 (4), 045027, 2021 | 85 | 2021 |
| Alchemy: A quantum chemistry dataset for benchmarking ai models G Chen, P Chen, CY Hsieh, CK Lee, B Liao, R Liao, W Liu, J Qiu, Q Sun, ... arXiv preprint arXiv:1906.09427, 2019 | 85 | 2019 |
| Nonlocality and conflicting interest games A Pappa, N Kumar, T Lawson, M Santha, S Zhang, E Diamanti, I Kerenidis Physical review letters 114 (2), 020401, 2015 | 81 | 2015 |
| Fourier sparsity, spectral norm, and the log-rank conjecture HY Tsang, CH Wong, N Xie, S Zhang 2013 IEEE 54th Annual Symposium on Foundations of Computer Science, 658-667, 2013 | 80 | 2013 |
| Semiquantum key distribution without invoking the classical party’s measurement capability X Zou, D Qiu, S Zhang, P Mateus Quantum Information Processing 14, 2981-2996, 2015 | 78 | 2015 |
| TrimNet: learning molecular representation from triplet messages for biomedicine P Li, Y Li, CY Hsieh, S Zhang, X Liu, H Liu, S Song, X Yao Briefings in Bioinformatics 22 (4), bbaa266, 2021 | 74 | 2021 |
| Quantum algorithms for feedforward neural networks J Allcock, CY Hsieh, I Kerenidis, S Zhang ACM Transactions on Quantum Computing 1 (1), 1-24, 2020 | 69 | 2020 |
Chang-Yu HsiehZhejiang UniversityVerified email at zju.edu.cn
