| CDC: Compressive data collection for wireless sensor networks XY Liu, Y Zhu, L Kong, C Liu, Y Gu, MY Wu IEEE Transactions on Parallel and Distributed Systems, 2015 | 309 | 2015 |
| Data loss and reconstruction in sensor networks L Kong, M Xia, XY Liu, MY Wu, X Liu IEEE INFOCOM, 2013, 1654-1662, 2013 | 256 | 2013 |
| Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy H Yang, XY Liu, S Zhong, A Walid ACM International Conference on AI in Finance, 2020 | 250 | 2020 |
| Practical deep reinforcement learning approach for stock trading XY Liu, Z Xiong, S Zhong, H Yang, A Walid NIPS 2018 Workshop on Challenges and Opportunities for AI in Financial Services, 2018 | 215* | 2018 |
| Deep tensor admm-net for snapshot compressive imaging J Ma, XY Liu, Z Shou, X Yuan IEEE International Conference on Computer Vision (ICCV), 10223-10232, 2019 | 178 | 2019 |
| FinGPT: Open-Source Financial Large Language Models H Yang, XY Liu, CD Wang FinLLM at IJCAI, 2023 | 176 | 2023 |
| Unsupervised seismic facies analysis via deep convolutional autoencoders F Qian, M Yin, XY Liu, YJ Wang, C Lu, GM Hu Geophysics 83 (3), A39-A43, 2018 | 166 | 2018 |
| Public Vehicles for Future Urban Transportation Systems M Zhu, XY Liu, M Qiu, WS Shu, F Tang, R Shen, MY Wu IEEE Transactions on Intelligent Transportation Systems, 2016 | 153 | 2016 |
| Data loss and reconstruction in wireless sensor networks L Kong, M Xia, XY Liu, G Chen, Y Gu, MY Wu, X Liu IEEE Transactions on Parallel and Distributed Systems 25 (11), 2818-2828, 2014 | 144 | 2014 |
| FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance XY Liu, H Yang, Q Chen, R Zhang, L Yang, B Xiao, CD Wang Neural Information Processing Systems (NeurIPS), 2020 | 137 | 2020 |
| Low-tubal-rank tensor completion using alternating minimization XY Liu, S Aeron, V Aggarwal, X Wang IEEE Transactions on Information Theory 9848, 984809, 2019 | 137 | 2019 |
| Jointly Cross-and Self-Modal Graph Attention Network for Query-Based Moment Localization D Liu, X Qu, X Liu, J Dong, P Zhou, Z Xu ACM Multimedia, 2020 | 128 | 2020 |
| Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies C Li, M Qiu Book chapter 2 and 7, 2019 | 128 | 2019 |
| Adaptive Sampling of RF Fingerprints for Fine-grained Indoor Localization XY Liu, S Aeron, V Aggarwal, X Wang, MY Wu IEEE Transactions on Mobile Computing, 2016 | 112 | 2016 |
| Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning W Zhang, W Bao, XY Liu, K Yang, Q Lin, H Wen, R Ramezani WWW, 2775-2781, 2020 | 95 | 2020 |
| Surface coverage in sensor networks L Kong, M Zhao, XY Liu, J Lu, Y Liu, MY Wu, W Shu IEEE Transactions on Parallel and Distributed Systems 25 (1), 234-243, 2014 | 93 | 2014 |
| FinRL: Deep reinforcement learning framework to automate trading in quantitative finance XY Liu, H Yang, J Gao, CD Wang ACM ICAIF 2021, 2021 | 88 | 2021 |
| Privacy-Preserving Compressive Sensing for Crowdsensing based Trajectory Recovery L Kong, L He, XY Liu, Y Gu, MY Wu, X Liu IEEE ICDCS 2015, 2015 | 83 | 2015 |
| Low-tubal-rank Tensor Completion using Alternating Minimization XY Liu, S Aeron, V Aggarwal, X Wang IEEE Transactions on Information Theory, 2019 | 79 | 2019 |
| Hybrid overlay-underlay cognitive radio networks with energy harvesting K Zheng, XY Liu, X Liu, Y Zhu IEEE Transactions on Communications 67 (7), 4669-4682, 2019 | 70 | 2019 |
Linghe KongShanghai Jiao Tong UniversityE-mailová adresa ověřena na: sjtu.edu.cn
