Learning and Distillating the Internal Relationship of Motion Features in Action Recognition. - Lu Lu; Siyuan Li; Niannian Chen; Lin Gao; Yong Fan; Yong Jiang; Ling Wu (ICONIP (4), 2020)

Simplified-Boosting Ensemble Convolutional Network for Text Classification. - Fang Zeng; Niannian Chen; Dan Yang; Zhigang Meng (Neural Process. Lett., 2022)

Understanding Social Relations with Graph-Based and Global Attention. - Hanqing Li; Niannian Chen (CSCWD, 2023)

Dynamic Balancing-Based Label Assignment for Object Detection. - Yue Liao; Zhaoyan Fang; Huan Li; Dong Jiang; Huadong Li; Niannian Chen (RICAI, 2023)

Shape reconstruction from depth gradient with artificially periodized boundaries. - Ling Wu; Conghai Wu; Yong Fan; Niannian Chen (Vis. Comput., 2023)

Pose Estimation for Weakly Textured Aircraft with Improved CDPN. - Mengting Tao; Ling Wu; Niannian Chen (CISP-BMEI, 2024)

SCNet: A Stress Calculation Neural Network in Digital Photoelastic Technique. - Xuejiao Zhang; Niannian Chen; Ling Wu; Yong Fan; Haoxing He; Chuan Qiu (CISP-BMEI, 2024)

Decouple and align classification and regression in one-stage object detection. - Zhaoyan Fang; Niannian Chen; Yong Jiang; Yong Fan (Vis. Comput., 2024)

EXtreme gradient boosting Mix-Fit-Standalone: A high-performance gradient boosting tree framework for Vertical federated learning. - Shimao Xie; Yun Che; Niannian Chen; Hang Mao; Sicheng Chen (Neurocomputing, 2025)