M-estimation in Low-Rank Matrix Factorization: A General Framework. - Wei Tu; Peng Liu 048; Jingyu Zhao 001; Yi Liu 062; Linglong Kong; Guodong Li; Bei Jiang; Guangjian Tian; Hengshuai Yao (ICDM, 2019)

Compact Autoregressive Network. - Di Wang; Feiqing Huang; Jingyu Zhao 001; Guodong Li; Guangjian Tian (AAAI, 2020)

Do RNN and LSTM have Long Memory? - Jingyu Zhao 001; Feiqing Huang; Jia Lv; Yanjie Duan; Zhen Qin; Guodong Li; Guangjian Tian (ICML, 2020)

State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits. - Shuang Wu 005; Jingyu Zhao 001; Guangjian Tian; Jun Wang (IJCAI, 2021)

Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation. - Jingyu Zhao 001; Yanwen Fang; Guodong Li (NeurIPS, 2021)

Understanding and Mitigating Data Contamination in Deep Anomaly Detection: A Kernel-based Approach. - Shuang Wu 005; Jingyu Zhao 001; Guangjian Tian (IJCAI, 2022)

Cross-Layer Retrospective Retrieving via Layer Attention. - Yanwen Fang; Yuxi Cai; Jintai Chen; Jingyu Zhao 001; Guangjian Tian; Guodong Li (ICLR, 2023)