Featured Publications


1. Feature Evaluating Learning

IEEE transactions on pattern analysis and machine intelligence 2017
sym
One-Pass Learning with Incremental and Decremental Features

C Hou, Z Zhou.

IEEE transactions on pattern analysis and machine intelligence 2018
sym
Safe Classification with Augmented Features

C Hou, L Zeng, D Hu.

IEEE transactions on pattern analysis and machine intelligence 2023
sym
Incremental Learning for Simultaneous Augmentation of Feature and Class

C Hou, S Gu, C Xu, Y Qian.

IEEE transactions on pattern analysis and machine intelligence 2023
sym
Adaptive Feature Selection With Augmented Attributes

C Hou, R Fan, L Zeng, D Hu.


2. Streaming Learning

IEEE transactions on pattern analysis and machine intelligence 2024
sym
Adaptive Learning for Dynamic Features and Noisy Labels

S Gu, C Xu, D Hu, C Hou.

IEEE Transactions on Knowledge and Data Engineering 2023
sym
Online Learning With Incremental Feature Space and Bandit Feedback

S Gu, T Luo, M He, C Hou.

IEEE Transactions on Knowledge and Data Engineering 2025
sym
Adaptive Learning in Imbalanced Data Streams With Unpredictable Feature Evolution

J Tu, X Tang, S Gu, Y Dai, R Fan, C Hou.


3. Weakly-supervised Learning

KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2024
sym
Label Shift Correction via Bidirectional Marginal Distribution Matching

R Fan, X Ouyang, H Tao, C Hou.

IEEE Conference on Computer Vision and Pattern Recognition (cvpr) 2025
sym
Label Shift Meets Online Learning: Ensuring Consistent Adaptation with Universal Dynamic Regret

Y Dai, S Gu, R Fan, C Xu, C Hou.

Journal of Machine Learning Research 2023
sym
Label distribution changing learning with sample space expanding

C Xu, H Tao, J Zhang, D Hu, C Hou.

IEEE Transactions on Neural Networks and Learning Systems 2025
sym
Confidence-Based PU Learning With Instance-Dependent Label Noise

X Tang, C Xu, H Tao, X Ma, C Hou.


4. Learning Theory & AI for Science

Applied Mathematics and Computation 2024
sym
An adaptive energy-based sequential method for training PINNs to solve gradient flow equations

J Guo, H Wang, C Hou.

KDD '25: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2025
sym

C Xu, X Tang. H Tao, C Hou.

IEEE Transactions on Knowledge and Data Engineering 2023
sym
Imbalanced Clustering With Theoretical Learning Bounds

J Zhang, H Tao, C Hou.


5. Multiview Learning

IEEE Transactions on Image Processing 2024
sym
Compound Weakly Supervised Clustering

H Tao, J Jiang, C Hou, T Luo, R Fan, J Zhang.

IEEE Transactions on Image Processing 2020
sym
Latent Complete Row Space Recovery for Multi-View Subspace Clustering

H Tao, C Hou, Y Qian, J Zhu, D Yi.


6. Feature Extraction/Selection

IEEE transactions on cybernetics 2013
sym
Joint embedding learning and sparse regression: A framework for unsupervised feature selection

C Hou, F Nie, X Li, D Yi, Y Wu.

Pattern Recognition 2010
sym
Multiple view semi-supervised dimensionality reduction

C Hou, C Zhang, Y Wu, F Nie.