Deep Reinforcement Learning with Temporal-Awareness Network. - Ze-Yu Liu 011; Jian-Wei Liu 006; Weimin Li 001; Xin Zuo (ICONIP (2), 2020)

Universal Transformer Hawkes process. - Lu-Ning Zhang; Jian-Wei Liu 006; Zhi-Yan Song; Xin Zuo; Weimin Li 001; Ze-Yu Liu 011 (IJCNN, 2021)

Learning 3D-Craft Generation with Predictive Action Neural Network. - Ze-Yu Liu 011; Jian-Wei Liu 006; Xin Zuo; Weimin Li 001 (MMM (1), 2021)

Multi-scale iterative refinement network for RGB-D salient object detection. - Ze-Yu Liu 011; Jian-wei Liu 006; Xin Zuo; Ming-fei Hu (Eng. Appl. Artif. Intell., 2021)

Multi-peak Graph-based Multi-instance Learning for Weakly Supervised Object Detection. - Ruyi Ji; Zeyu Liu 011; Libo Zhang 001; Jianwei Liu 006; Xin Zuo; Yanjun Wu; Chen Zhao; Haofeng Wang; Lin Yang (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Learning Unsupervised Disentangled Capsule via Mutual Information. - Ming-fei Hu; Ze-Yu Liu 011; Jianwei Liu 006 (IJCNN, 2022)

Partially latent factors based multi-view subspace learning. - Runkun Lu; Jianwei Liu 006; Ze-Yu Liu 011; Jinzhong Chen (Comput. Intell., 2022)

Multi-scale attentional similarity guidance network for few-shot semantic segmentation. - Ze-Yu Liu 011; Jian-wei Liu 006 (Neural Comput. Appl., 2022)

Kernel-based similarity sorting and allocation for few-shot semantic segmentation. - Ze-Yu Liu 011; Jian-wei Liu 006 (Neural Comput. Appl., 2022)

Part-aware attention correctness for video salient object detection. - Ze-Yu Liu 011; Jian-Wei Liu 006 (Eng. Appl. Artif. Intell., 2023)

mcVAE: disentangling by mean constraint. - Ming-fei Hu; Ze-Yu Liu 011; Jian-wei Liu 006 (Vis. Comput., 2024)