An object tracking method based on Mean Shift algorithm with HSV color space and texture features. - Jinhang Liu; Xian Zhong (Clust. Comput., 2019)

An emotion classification algorithm based on SPT-CapsNet. - Xian Zhong; Jinhang Liu; Lin Li 001; Shuqin Chen; Wei Lu; Yuyu Dong; Bingqing Wu; Luo Zhong (Neural Comput. Appl., 2020)

Innovative Evaluation Method of Academic Papers in Colleges and Universities Based on Deep Learning. - Jinhang Liu (AIAM (IEEE), 2021)

MPCM: Multi-modal User Portrait Classification Model Based on Collaborative Learning. - Jinhang Liu; Lin Li (Inf. Technol. Control., 2023)

Multi-level contrastive graph learning for academic abnormality prediction. - Yong Ouyang; Yuanlin Wang; Rong Gao; Yawen Zeng; Jinhang Liu; Zhiwei Ye (Neural Comput. Appl., 2024)

Quantitatively Interpreting Residents Happiness Prediction by Considering Factor-Factor Interactions. - Lin Li 001; Xiaohua Wu; Miao Kong; Jinhang Liu; Jianwei Zhang 002 (IEEE Trans. Comput. Soc. Syst., 2024)

Evidence Mining for Interpretable Charge Prediction via Prompt Learning. - Lin Li 001; Dan Liu; Lingyun Zhao 002; Jianwei Zhang 002; Jinhang Liu (IEEE Trans. Comput. Soc. Syst., 2024)

Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning. - Hai Zhang; Boyuan Zheng; Tianying Ji; Jinhang Liu; Anqi Guo; Junqiao Zhao; Lanqing Li (ICLR, 2025)