An Adaptive Component Model for Autonomous Mobile Robots. - Jin-Hui Zhu; Huaqing Min; Yingju Liang; Mingjie Liang; Chang'an Yi; Mei Zhang; Junping Li (FIRA, 2011)

Local Consistent Alignment for 3D modeling with an RGB-D camera. - Mingjie Liang; Huaqing Min; Ronghua Luo; Jin-Hui Zhu; Chang'an Yi (ICARCV, 2012)

An incremental learning algorithm for autonomous mental development of robots. - Chang'an Yi; Huaqing Min; Ronghua Luo; Xiao-Wen Shen; Zhi-Peng Zhong; Ming-Jie Liang (ICMLC, 2012)

A novel formalization for robot cognition based on Affordance model. - Chang'an Yi; Huaqing Min; Ronghua Luo; Zhi-Peng Zhong; Xiao-Wen Shen (ROBIO, 2012)

CogRSim: A Robotic Simulator Software. - Yao Shi; Chang'an Yi; Yuguang Yan; Deqin Wang; Guixin Guo; Junsheng Chen; Huaqing Min (ICIRA (2), 2014)

Affordance matching from the shared information in multi-robot. - Chang'an Yi; Huaqing Min; Ronghua Luo (ROBIO, 2015)

Affordance discovery based on intrinsic motivation in robots. - Chang'an Yi; Huaqing Min; Jin-Hui Zhu; Pengshuai Yin (ROBIO, 2016)

Goal-directed affordance prediction at the subtask level. - Huaqing Min; Chang'an Yi; Ronghua Luo; Jin-Hui Zhu (Ind. Robot, 2016)

Affordance Research in Developmental Robotics: A Survey. - Huaqing Min; Chang'an Yi; Ronghua Luo; Jin-Hui Zhu; Sheng Bi (IEEE Trans. Cogn. Dev. Syst., 2016)

Affordance learning and inference based on vision-speech association in human-robot interactions. - Chang'an Yi; Huaqing Min; Jin-Hui Zhu; Xinshi Xu; Pengshuai Yin; Guofei Zheng (ROBIO, 2017)

Affordance triggering for arbitrary states based on robot exploring. - Chang'an Yi; Guofei Zheng; Sheng Bi; Ronghua Luo; Pengshuai Yin; Xinshi Xu; Huaqing Min (ROBIO, 2017)

A novel method to improve transfer learning based on mahalanobis distance. - Chang'an Yi; Jiangjie Zhen; Yang Li; Yang Yi; Pengshuai Yin; Huaqing Min (ROBIO, 2017)

A Novel Transfer Metric Learning Approach Based on Multi-Group. - Chang'an Yi; Yonghui Xu; Bo Xu 019; Jingtang Zhong; Zhen Zhu; Pengshuai Yin; Huaqing Min (ROBIO, 2018)

Multi-component transfer metric learning for handling unrelated source domain samples. - Chang'an Yi; Yonghui Xu; Han Yu 001; Yuguang Yan; Yang Liu 165 (Knowl. Based Syst., 2020)

Deep level set learning for optic disc and cup segmentation. - Pengshuai Yin; Yanwu Xu 001; Jinhui Zhu; Jiang Liu 001; Chang'an Yi; Huichou Huang; Qingyao Wu (Neurocomputing, 2021)

ATPL: Mutually enhanced adversarial training and pseudo labeling for unsupervised domain adaptation. - Chang'an Yi; Haotian Chen 002; Yonghui Xu; Yong Liu 020; Lei Jiang; Haishu Tan (Knowl. Based Syst., 2022)

Time-Aware Graph Embedding: A Temporal Smoothness and Task-Oriented Approach. - Yonghui Xu; Shengjie Sun; Huiguo Zhang; Chang'an Yi; Yuan Miao 001; Dong Yang; Xiaonan Meng; Yi Hu; Ke Wang 001; Huaqing Min; Hengjie Song; Chuanyan Miao (ACM Trans. Knowl. Discov. Data, 2022)

Model-Contrastive Federated Domain Adaptation. - Chang'an Yi; Haotian Chen 002; Yonghui Xu; Yifan Zhang 004 (CoRR, 2023)

A Critical Look at Classic Test-Time Adaptation Methods in Semantic Segmentation. - Chang'an Yi; Haotian Chen 002; Yifan Zhang 004; Yonghui Xu; Lizhen Cui (CoRR, 2023)

Multicomponent Adversarial Domain Adaptation: A General Framework. - Chang'an Yi; Haotian Chen 002; Yonghui Xu; Huanhuan Chen; Yong Liu 020; Haishu Tan; Yuguang Yan; Han Yu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

From Question to Exploration: Can Classic Test-Time Adaptation Strategies Be Effectively Applied in Semantic Segmentation? - Chang'an Yi; Haotian Chen 002; Yifan Zhang 004; Yonghui Xu; Yan Zhou; Lizhen Cui (ACM Multimedia, 2024)

GaFL: Geometric-aware Feature Learning for universal 3D models recognition. - Yan Zhou; Huajie Sun; Huaidong Zhang; Xuemiao Xu; Chang'an Yi; Dewang Ye; Yuexia Zhou; Xiangyu Liu (Pattern Recognit., 2024)

TADA: Temporal-aware Adversarial Domain Adaptation for patient outcomes forecasting. - Chang'an Yi; Haotian Chen 002; Yonghui Xu; Yan Zhou; Juan Du; Lizhen Cui; Haishu Tan (Expert Syst. Appl., 2024)

MMFEIR: Multi-attention Mutual Feature Enhance and Instance Reconstruction for category-level 6D object pose estimation. - Haotian Lei; Xiangyu Liu; Yan Zhou; Guo Niu; Chang'an Yi; Yuexia Zhou; Xiaofeng Liang; Fuhe Liu (Image Vis. Comput., 2025)

When Small Guides Large: Cross-Model Co-Learning for Test-Time Adaptation. - Chang'an Yi; Xiaohui Deng; Guohao Chen; Yan Zhou; Qinghua Lu 002; Shuaicheng Niu (CoRR, 2025)

FDAC: Federated Domain Adaptation via Dual Contrastive Learning. - Chang'an Yi; Haotian Chen 002; Yifan Zhang 004; Yonghui Xu; Yan Zhou; Lizhen Cui; Han Yu 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Tgcpn: two-level grid context propagation network for 3D small object detection. - Yan Zhou; Lei Pu; Xuemiao Xu; Chang'an Yi; Xinwei He; Yuexia Zhou; Yewen Xu (Pattern Anal. Appl., 2025)