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Deqiang Kong
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2020 – today
- 2023
- [j4]Xingyuan Li
, Zhenfeng Zhu
Sylvester Equation Induced Collaborative Representation Learning for Recommendation. IEEE Trans. Knowl. Data Eng. 35(9): 8811-8822 (2023) - 2021
- [j3]Zhenfeng Zhu
To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene. IEEE Trans. Circuits Syst. Video Technol. 31(2): 492-502 (2021)
2010 – 2019
- 2019
- [j2]Youru Li
EA-LSTM: Evolutionary attention-based LSTM for time series prediction. Knowl. Based Syst. 181 (2019) - [j1]Yingying Meng, Deqiang Kong, Zhenfeng Zhu, Yao Zhao:
From Night to Day: GANs Based Low Quality Image Enhancement. Neural Process. Lett. 50(1): 799-814 (2019) - [c3]Youru Li
Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction. AAAI 2019: 1004-1011 - [i2]Zhenfeng Zhu, Yingying Meng, Deqiang Kong, Xingxing Zhang, Yandong Guo, Yao Zhao:
To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene. CoRR abs/1912.06556 (2019) - 2018
- [c2]Xingxing Zhang, Zhenfeng Zhu, Yao Zhao, Deqiang Kong:
Self-Supervised Deep Low-Rank Assignment Model for Prototype Selection. IJCAI 2018: 3141-3147 - [i1]Youru Li, Zhenfeng Zhu, Deqiang Kong, Hua Han, Yao Zhao:
EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction. CoRR abs/1811.03760 (2018) - 2017
- [c1]Deqiang Kong, Jingyuan Tang, Zhenfeng Zhu, Jian Cheng, Yao Zhao:
De-biased dart ensemble model for personalized recommendation. ICME 2017: 553-558
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