MS-LSTM: A multi-scale LSTM model for BGP anomaly detection. - Min Cheng 003; Qian Xu 010; Jianming Lv; Wenyin Liu; Qing Li 001; Jianping Wang 001 (ICNP, 2016)

Financial Fraud Detection: a New Ensemble Learning Approach for Imbalanced Data. - Yiyang Bian; Min Cheng 003; Chen Yang 008; Yuan Yuan; Qing Li 001; J. Leon Zhao; Liang Liang 001 (PACIS, 2016)

Cross-Domain and Cross-Modality Transfer Learning for Multi-domain and Multi-modality Event Detection. - Zhenguo Yang; Min Cheng 003; Qing Li 001; Yukun Li; Zehang Lin; Wenyin Liu (WISE (1), 2017)

Dual graph regularized NMF model for social event detection from Flickr data. - Zhenguo Yang; Qing Li 001; Wenyin Liu; Yun Ma 001; Min Cheng 003 (World Wide Web, 2017)

Deep Modeling of Social Relations for Recommendation. - Wenqi Fan; Qing Li 001; Min Cheng 003 (AAAI, 2018)

MMED: A Multi-domain and Multi-modality Event Dataset. - Zhenguo Yang; Zehang Lin; Min Cheng 003; Qing Li 001; Wenyin Liu (CoRR, 2019)

Multi-Scale LSTM Model for BGP Anomaly Classification. - Min Cheng 003; Qing Li 001; Jianming Lv; Wenyin Liu; Jianping Wang 001 (IEEE Trans. Serv. Comput., 2021)

M-Denoiser: Unsupervised image denoising for real-world optical and electron microscopy data. - Xiaoya Chong; Min Cheng 003; Wenqi Fan; Qing Li 001; Howard Leung (Comput. Biol. Medicine, 2023)