| EA-LSTM: Evolutionary attention-based LSTM for time series prediction Y Li, Z Zhu, D Kong, H Han, Y Zhao Knowledge-Based Systems 181, 104785, 2019 | 372 | 2019 |
| Learning heterogeneous spatial-temporal representation for bike-sharing demand prediction Y Li, Z Zhu, D Kong, M Xu, Y Zhao Proceedings of the AAAI conference on artificial intelligence 33 (01), 1004-1011, 2019 | 77 | 2019 |
| From night to day: GANs based low quality image enhancement Y Meng, D Kong, Z Zhu, Y Zhao Neural Processing Letters 50, 799-814, 2019 | 35 | 2019 |
| To see in the dark: N2DGAN for background modeling in nighttime scene Z Zhu, Y Meng, D Kong, X Zhang, Y Guo, Y Zhao IEEE Transactions on Circuits and Systems for Video Technology 31 (2), 492-502, 2020 | 13 | 2020 |
| Self-Supervised Deep Low-Rank Assignment Model for Prototype Selection. X Zhang, Z Zhu, Y Zhao, D Kong IJCAI, 3141-3147, 2018 | 13 | 2018 |
| De-biased dart ensemble model for personalized recommendation D Kong, J Tang, Z Zhu, J Cheng, Y Zhao 2017 IEEE International Conference on Multimedia and Expo (ICME), 553-558, 2017 | 6 | 2017 |
| Sylvester Equation Induced Collaborative Representation Learning for Recommendation X Li, Z Zhu, S Zheng, Z Liu, Y Li, X Guo, D Kong, Y Zhao IEEE Transactions on Knowledge and Data Engineering 35 (9), 8811-8822, 2022 | | 2022 |
| Heterogenous Graph Mining for Measuring the Impact of Research Institutions Z Qiu, D Kong, Z Zhu, H Lu, J Cheng | | 2016 |
