Online Shopping Recommendation with Bayesian Probabilistic Matrix Factorization. - Jinming Wu; Zhong Liu 002; Guangquan Cheng; Qi Wang 005; Jincai Huang 001 (ICIS, 2017)

PAIRS: Prediction of Activation/Inhibition Regulation Signaling Pathway. - Tengjiao Wang 002; Yang-He Feng; Qi Wang 005 (Comput. Intell. Neurosci., 2017)

A Novel Ensemble Method for Imbalanced Data Learning: Bagging of Extrapolation-SMOTE SVM. - Qi Wang 005; ZhiHao Luo; JinCai Huang 001; Yang-He Feng; Zhong Liu 002 (Comput. Intell. Neurosci., 2017)

Addressing the Task of Rocket Recycling with Deep Reinforcement Learning. - Guangyin Jin; Jincai Huang 001; Yang-He Feng; Guangquan Cheng; Zhong Liu 002; Qi Wang 005 (ICIT, 2018)

The Mathematical Modeling of the Two-Echelon Ground Vehicle and Its Mounted Unmanned Aerial Vehicle Cooperated Routing Problem. - ZhiHao Luo; Zhong Liu 002; Jianmai Shi; Qi Wang 005; Tianren Zhou; Yao Liu (Intelligent Vehicles Symposium, 2018)

VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control. - Xingxing Liang; Qi Wang 005; Yang-He Feng; Zhong Liu 002; Jincai Huang 001 (CoRR, 2018)

Crime-GAN: A Context-based Sequence Generative Network for Crime Forecasting with Adversarial Loss. - Guangyin Jin; Qi Wang 005; Xia Zhao; Yanghe Feng; Qing Cheng 004; Jincai Huang 001 (IEEE BigData, 2019)

Urban Fire Situation Forecasting: Deep sequence learning with spatio-temporal dynamics. - Guangyin Jin; Qi Wang 005; Cunchao Zhu; Yanghe Feng; Jincai Huang 001; Xingchen Hu (Appl. Soft Comput., 2020)

CSAN: A neural network benchmark model for crime forecasting in spatio-temporal scale. - Qi Wang 005; Guangyin Jin; Xia Zhao; Yang-He Feng; Jincai Huang 001 (Knowl. Based Syst., 2020)

A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm. - Qi Wang 005; Yiqin Lv; Yang-He Feng; Zheng Xie; Jincai Huang 001 (NeurIPS, 2023)

Large-scale Generative Simulation Artificial Intelligence: the Next Hotspot in Generative AI. - Qi Wang 005; Yanghe Feng; Jincai Huang 001; Yiqin Lv; Zheng Xie; Xiaoshan Gao (CoRR, 2023)

Balanced Confidence Calibration for Graph Neural Networks. - Hao Yang 042; Min Wang 034; Qi Wang 005; Mingrui Lao; Yun Zhou 001 (KDD, 2024)

Group Distributionally Robust Optimization can Suppress Class Imbalance Effect in Network Traffic Classification. - Wumei Du; Qi Wang 005; Yiqin Lv; Dong Liang; Guanlin Wu; Xingxing Liang; Zheng Xie (CoRR, 2024)

Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning. - Yiqin Lv; Qi Wang 005; Dong Liang; Zheng Xie (CoRR, 2024)

Non-informative noise-enhanced stochastic neural networks for improving adversarial robustness. - Hao Yang 042; Min Wang 034; Qi Wang 005; Zhengfei Yu; Guangyin Jin; Chunlai Zhou; Yun Zhou 001 (Inf. Fusion, 2024)