An Empirical Study on Ensemble Learning of Multimodal Machine Translation. - Liang Tan; Lin Li 001; Yifeng Han; Dong Li; Kaixi Hu; Dong Zhou 001; Peipei Wang (BigMM, 2020)

Text Description Generation from Videos via Deep Semantic Models. - Lin Li 001; Kaixi Hu (APSIPA ASC, 2021)

What is Next when Sequential Prediction Meets Implicitly Hard Interaction? - Kaixi Hu; Lin Li 001; Qing Xie 002; Jianquan Liu; Xiaohui Tao 001 (CIKM, 2021)

COOPNet: Multi-Modal Cooperative Gender Prediction in Social Media User Profiling. - Lin Li 001; Kaixi Hu; Yunpei Zheng; Jianquan Liu; Kong Aik Lee (ICASSP, 2021)

Multi-modal and Multi-perspective Machine Translation by Collecting Diverse Alignments. - Lin Li 001; Turghun Tayir; Kaixi Hu; Dong Zhou 001 (PRICAI (2), 2021)

DuroNet: A Dual-robust Enhanced Spatial-temporal Learning Network for Urban Crime Prediction. - Kaixi Hu; Lin Li 001; Jianquan Liu; Daniel Sun 004 (ACM Trans. Internet Techn., 2021)

Modeling Sequential Representation with Interaction Dynamics for Social Prediction. - Kaixi Hu; Lin Li 001 (BESC, 2022)

Noise-Robust Semi-supervised Multi-modal Machine Translation. - Lin Li 001; Kaixi Hu; Turghun Tayir; Jianquan Liu; Kong Aik Lee (PRICAI (2), 2022)

Information fusion in crime event analysis: A decade survey on data, features and models. - Kaixi Hu; Lin Li 001; Xiaohui Tao 001; Juan D. Velásquez 001; Patrick J. Delaney (Inf. Fusion, 2023)

CrimeAlarm: Towards Intensive Intent Dynamics in Fine-Grained Crime Prediction. - Kaixi Hu; Lin Li 001; Qing Xie 002; Xiaohui Tao 001; Guandong Xu (DASFAA (7), 2024)

Semantics and Geography Aware Hierarchical Learning for Sequential Crime Prediction. - Kaixi Hu; Lin Li 001; Xiaohui Tao 001; Jianwei Zhang 002 (IEEE Signal Process. Lett., 2024)

Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics. - Kaixi Hu; Lin Li 001; Qing Xie 002; Jianquan Liu; Xiaohui Tao 001; Guandong Xu (ACM Trans. Inf. Syst., 2024)