Chang'an Yi

29 papers A* 1C 1Misc 1Journal 17Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Combining adaptive local aggregation average and test-time energy adaptation for federated learning.
Int. J. Mach. Learn. Cybern.
Juxin Liao, Chang'an Yi, Kai Chen, Qiaoyi Peng
2025 J jnl
FDAC: Federated Domain Adaptation via Dual Contrastive Learning.
IEEE Trans. Circuits Syst. Video Technol.
Chang'an Yi, Haotian Chen, Yifan Zhang, Yonghui Xu, Yan Zhou, Lizhen Cui, Han Yu
2025 J jnl
MMFEIR: Multi-attention Mutual Feature Enhance and Instance Reconstruction for category-level 6D object pose estimation.
Image Vis. Comput.
Haotian Lei, Xiangyu Liu, Yan Zhou, Guo Niu, Chang'an Yi, Yuexia Zhou, Xiaofeng Liang, Fuhe Liu
2025 J jnl
POEM: Explore Unexplored Reliable Samples to Enhance Test-Time Adaptation.
CoRR
Chang'an Yi, Xiaohui Deng, Shuaicheng Niu, Yan Zhou
2025 J jnl
Tgcpn: two-level grid context propagation network for 3D small object detection.
Pattern Anal. Appl.
Yan Zhou, Lei Pu, Xuemiao Xu, Chang'an Yi, Xinwei He, Yuexia Zhou, Yewen Xu
2025 J jnl
When Small Guides Large: Cross-Model Co-Learning for Test-Time Adaptation.
CoRR
Chang'an Yi, Xiaohui Deng, Guohao Chen, Yan Zhou, Qinghua Lu, Shuaicheng Niu
2024 A* conf
From Question to Exploration: Can Classic Test-Time Adaptation Strategies Be Effectively Applied in Semantic Segmentation?
ACM Multimedia
Chang'an Yi, Haotian Chen, Yifan Zhang, Yonghui Xu, Yan Zhou, Lizhen Cui
2024 J jnl
GaFL: Geometric-aware Feature Learning for universal 3D models recognition.
Pattern Recognit.
Yan Zhou, Huajie Sun, Huaidong Zhang, Xuemiao Xu, Chang'an Yi, Dewang Ye, Yuexia Zhou, Xiangyu Liu
2024 J jnl
TADA: Temporal-aware Adversarial Domain Adaptation for patient outcomes forecasting.
Expert Syst. Appl.
Chang'an Yi, Haotian Chen, Yonghui Xu, Yan Zhou, Juan Du, Lizhen Cui, Haishu Tan
2023 J jnl
A Critical Look at Classic Test-Time Adaptation Methods in Semantic Segmentation.
CoRR
Chang'an Yi, Haotian Chen, Yifan Zhang, Yonghui Xu, Lizhen Cui
2023 J jnl
Model-Contrastive Federated Domain Adaptation.
CoRR
Chang'an Yi, Haotian Chen, Yonghui Xu, Yifan Zhang
2023 J jnl
Multicomponent Adversarial Domain Adaptation: A General Framework.
IEEE Trans. Neural Networks Learn. Syst.
Chang'an Yi, Haotian Chen, Yonghui Xu, Huanhuan Chen, Yong Liu, Haishu Tan, Yuguang Yan, Han Yu
2022 J jnl
ATPL: Mutually enhanced adversarial training and pseudo labeling for unsupervised domain adaptation.
Knowl. Based Syst.
Chang'an Yi, Haotian Chen, Yonghui Xu, Yong Liu, Lei Jiang, Haishu Tan
2022 J jnl
Time-Aware Graph Embedding: A Temporal Smoothness and Task-Oriented Approach.
ACM Trans. Knowl. Discov. Data
Yonghui Xu, Shengjie Sun, Huiguo Zhang, Chang'an Yi, Yuan Miao, Dong Yang, Xiaonan Meng, Yi Hu, Ke Wang, Huaqing Min, Hengjie Song, Chuanyan Miao
2021 J jnl
Deep level set learning for optic disc and cup segmentation.
Neurocomputing
Pengshuai Yin, Yanwu Xu, Jinhui Zhu, Jiang Liu, Chang'an Yi, Huichou Huang, Qingyao Wu
2020 J jnl
Multi-component transfer metric learning for handling unrelated source domain samples.
Knowl. Based Syst.
Chang'an Yi, Yonghui Xu, Han Yu, Yuguang Yan, Yang Liu
2018 — conf
A Novel Transfer Metric Learning Approach Based on Multi-Group.
ROBIO
Chang'an Yi, Yonghui Xu, Bo Xu, Jingtang Zhong, Zhen Zhu, Pengshuai Yin, Huaqing Min
2017 — conf
A novel method to improve transfer learning based on mahalanobis distance.
ROBIO
Chang'an Yi, Jiangjie Zhen, Yang Li, Yang Yi, Pengshuai Yin, Huaqing Min
2017 — conf
Affordance learning and inference based on vision-speech association in human-robot interactions.
ROBIO
Chang'an Yi, Huaqing Min, Jin-Hui Zhu, Xinshi Xu, Pengshuai Yin, Guofei Zheng
2017 — conf
Affordance triggering for arbitrary states based on robot exploring.
ROBIO
Chang'an Yi, Guofei Zheng, Sheng Bi, Ronghua Luo, Pengshuai Yin, Xinshi Xu, Huaqing Min
2016 J jnl
Affordance Research in Developmental Robotics: A Survey.
IEEE Trans. Cogn. Dev. Syst.
Huaqing Min, Chang'an Yi, Ronghua Luo, Jin-Hui Zhu, Sheng Bi
2016 — conf
Affordance discovery based on intrinsic motivation in robots.
ROBIO
Chang'an Yi, Huaqing Min, Jin-Hui Zhu, Pengshuai Yin
2016 J jnl
Goal-directed affordance prediction at the subtask level.
Ind. Robot
Huaqing Min, Chang'an Yi, Ronghua Luo, Jin-Hui Zhu
2015 — conf
Affordance matching from the shared information in multi-robot.
ROBIO
Chang'an Yi, Huaqing Min, Ronghua Luo
2014 — conf
CogRSim: A Robotic Simulator Software.
ICIRA (2)
Yao Shi, Chang'an Yi, Yuguang Yan, Deqin Wang, Guixin Guo, Junsheng Chen, Huaqing Min
2012 — conf
A novel formalization for robot cognition based on Affordance model.
ROBIO
Chang'an Yi, Huaqing Min, Ronghua Luo, Zhi-Peng Zhong, Xiao-Wen Shen
2012 Misc conf
An incremental learning algorithm for autonomous mental development of robots.
ICMLC
Chang'an Yi, Huaqing Min, Ronghua Luo, Xiao-Wen Shen, Zhi-Peng Zhong, Ming-Jie Liang
2012 C conf
Local Consistent Alignment for 3D modeling with an RGB-D camera.
ICARCV
Mingjie Liang, Huaqing Min, Ronghua Luo, Jin-Hui Zhu, Chang'an Yi
2011 — conf
An Adaptive Component Model for Autonomous Mobile Robots.
FIRA
Jin-Hui Zhu, Huaqing Min, Yingju Liang, Mingjie Liang, Chang'an Yi, Mei Zhang, Junping Li