Deep reinforcement learning for automated stock trading: An ensemble strategy H Yang, XY Liu, S Zhong, A Walid Proceedings of the first ACM international conference on AI in finance, 1-8, 2020 | 226 | 2020 |
Practical deep reinforcement learning approach for stock trading Z Xiong, XY Liu, S Zhong, H Yang, A Walid arXiv preprint arXiv:1811.07522, 1-7, 2018 | 173 | 2018 |
A multiantenna RFID reader with blind adaptive beamforming S Chen, S Zhong, S Yang, X Wang IEEE Internet of Things Journal 3 (6), 986-996, 2016 | 41 | 2016 |
Practical deep reinforcement learning approach for stock trading XY Liu, Z Xiong, S Zhong, H Yang, A Walid arXiv preprint arXiv:1811.07522, 2018 | 38 | 2018 |
Decentralized model-free wind farm control via discrete adaptive filtering methods S Zhong, X Wang IEEE Transactions on Smart Grid 9 (4), 2529-2540, 2016 | 36 | 2016 |
Energy allocation and utilization for wirelessly powered IoT networks S Zhong, X Wang IEEE Internet of Things Journal 5 (4), 2781-2792, 2018 | 28 | 2018 |
Wireless power transfer by beamspace large-scale MIMO with lens antenna array S Zhong, X Wang IEEE Transactions on Wireless Communications 18 (2), 1390-1403, 2019 | 13 | 2019 |
Joint multicast and unicast beamforming for coded caching S Zhong, X Wang IEEE Transactions on Communications 66 (8), 3354-3367, 2018 | 13 | 2018 |
Joint energy-bandwidth allocation for multiuser channels with cooperating hybrid energy nodes V Aggarwal, MR Bell, A Elgabli, X Wang, S Zhong IEEE Transactions on Vehicular Technology 66 (11), 9880-9889, 2017 | 12 | 2017 |
Practical deep reinforcement learning approach for stock trading. arXiv 2018 Z Xiong, XY Liu, S Zhong, H Yang, A Walid arXiv preprint arXiv:1811.07522, 0 | 9 | |
Transmission scheduling for hybrid backscatter-HTT nodes S Zhong, X Wang IEEE Internet of Things Journal 8 (3), 1769-1782, 2020 | 5 | 2020 |
Signal Processing for Wireless Power and Information Transfer S Zhong Columbia University, 2019 | | 2019 |