Houcheng Su

According to our database, Houcheng Su authored at least 19 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Learning few-shot semantic segmentation with error-filtered segment anything model.

Chen-Bin Feng, Qi Lai, Kangdao Liu, Houcheng Su, Hao Chen, Kaixi Luo, Chi-Man Vong

Vis. Comput., August, 2025

Graph Convolutional Mixture-of-Experts Learner Network for Long-Tailed Domain Generalization.

Mengzhu Wang, Houcheng Su, Sijia Wang, Shanshan Wang, Nan Yin, Li Shen, Long Lan, Liang Yang, Xiaochun Cao

IEEE Trans. Circuits Syst. Video Technol., July, 2025

Not Only Consistency: Enhance Test-Time Adaptation with Spatio-temporal Inconsistency for Remote Physiological Measurement.

Xiao Yang, Yuxuan Fan, Can Liu, Houcheng Su, Weichen Guo, Jiyao Wang, Dengbo He

CoRR, July, 2025

Unpaired to paired data synthesis and generative ensemble network for smudged image restoration.

Chen-Bin Feng, Kangdao Liu, Jian Sun, Qi Lai, Jiping Jin, Houcheng Su, Guangtai Wang, Chi-Man Vong

Appl. Soft Comput., 2025

Towards Fully Test-Time Adaptation via Variance Balancing and Semantic Augmentation.

Houcheng Su, Bingli Wang, Daixian Liu, Jiao Li, Chen-Bin Feng, Chi-Man Vong

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation.

Houcheng Su, Mengzhu Wang, Jiao Li, Nan Yin, Liang Yang, Li Shen

CoRR, 2024

GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation.

Mengzhu Wang, Jiao Li, Houcheng Su, Nan Yin, Liang Yang, Shen Li

CoRR, 2024

DiM: <i>f</i>-Divergence Minimization Guided Sharpness-Aware Optimization for Semi-supervised Medical Image Segmentation.

Bingli Wang, Houcheng Su, Nan Yin, Mengzhu Wang, Li Shen

CoRR, 2024

Open-World Test-Time Training: Self-Training with Contrast Learning.

Houcheng Su, Mengzhu Wang, Jiao Li, Bingli Wang, Daixian Liu, Zeheng Wang

CoRR, 2024

Boosting Few-Shot Semantic Segmentation Via Segment Anything Model.

Chen-Bin Feng, Qi Lai, Kangdao Liu, Houcheng Su, Chi-Man Vong

CoRR, 2024

Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization.

Houcheng Su, Weihao Luo, Daixian Liu, Mengzhu Wang, Jing Tang, Junyang Chen, Cong Wang, Zhenghan Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation.

Junyang Chen, Guoxuan Zou, Pan Zhou, Yirui Wu, Zhenghan Chen, Houcheng Su, Huan Wang, Zhiguo Gong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SDSCNet: an instance segmentation network for efficient monitoring of goose breeding conditions.

Jiao Li, Houcheng Su, Jianing Li, Tianyu Xie, Yijie Chen, Jianan Yuan, Kailin Jiang, Xuliang Duan

Appl. Intell., November, 2023

Singular Value Penalization and Semantic Data Augmentation for Fully Test-Time Adaptation.

Houcheng Su, Daixian Liu, Mengzhu Wang, Wei Wang

CoRR, 2023

Graph based Label Enhancement for Multi-instance Multi-label learning.

Houcheng Su, Jintao Huang, Daixian Liu, Rui Yan, Jiao Li, Chi-Man Vong

CoRR, 2023

A Closer Look at Classifier in Adversarial Domain Generalization.

Ye Wang, Junyang Chen, Mengzhu Wang, Hao Li, Wei Wang, Houcheng Su, Zhihui Lai, Wei Wang, Zhenghan Chen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2021

PlaneNet: an efficient local feature extraction network.

Bin Lin, Houcheng Su, Danyang Li, Ao Feng, Hongxiang Li, Jiao Li, Kailin Jiang, Hongbo Jiang, Xinyao Gong, Tao Liu

PeerJ Comput. Sci., 2021

A novel method for credit scoring based on feature transformation and ensemble model.

Hongxiang Li, Ao Feng, Bin Lin, Houcheng Su, Zixi Liu, Xuliang Duan, Haibo Pu, Yifei Wang

PeerJ Comput. Sci., 2021

2020

NDWI-DeepLabv3+: High-Precision Extraction of Water Bodies from Remote Sensing Images.

Yuhao Peng, Houcheng Su, Chao Xu, Ao Feng, Tao Liu

Proceedings of the MLMI 2020: The 3rd International Conference on Machine Learning and Machine Intelligence, 2020