De-biased dart ensemble model for personalized recommendation. - Deqiang Kong; Jingyuan Tang; Zhenfeng Zhu; Jian Cheng 001; Yao Zhao 001 (ICME, 2017)

Self-Supervised Deep Low-Rank Assignment Model for Prototype Selection. - Xingxing Zhang 001; Zhenfeng Zhu; Yao Zhao 001; Deqiang Kong (IJCAI, 2018)

Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction. - Youru Li; Zhenfeng Zhu; Deqiang Kong; Meixiang Xu; Yao Zhao 001 (AAAI, 2019)

EA-LSTM: Evolutionary attention-based LSTM for time series prediction. - Youru Li; Zhenfeng Zhu; Deqiang Kong; Hua Han 001; Yao Zhao 001 (Knowl. Based Syst., 2019)

From Night to Day: GANs Based Low Quality Image Enhancement. - Yingying Meng; Deqiang Kong; Zhenfeng Zhu; Yao Zhao 001 (Neural Process. Lett., 2019)

To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene. - Zhenfeng Zhu; Yingying Meng; Deqiang Kong; Xingxing Zhang 001; Yandong Guo; Yao Zhao 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Sylvester Equation Induced Collaborative Representation Learning for Recommendation. - Xingyuan Li 002; Zhenfeng Zhu; Shuai Zheng 005; Zhizhe Liu; Youru Li; Xiaobo Guo; Deqiang Kong; Yao Zhao 001 (IEEE Trans. Knowl. Data Eng., 2023)