Convex Sparse PCA for Unsupervised Feature Learning

Heng Huang , Xiaojun Chang , Chengqi Zhang , Feiping Nie
ACM Transactions on Knowledge Discovery From Data 11 ( 1) 3

58
2016
Balanced k-Means and Min-Cut Clustering

Zhigang Ma , Xiaojun Chang , Feiping Nie , Yi Yang
arXiv: Learning

25
2014
A convex formulation for semi-supervised multi-label feature selection

Heng Huang , Xiaojun Chang , Feiping Nie , Yi Yang
national conference on artificial intelligence 2 1171 -1177

265
2014
Semantic concept discovery for large-scale zero-shot event detection

Xiaojun Chang , Yi Yang , Alexander G Hauptmann , Eric P Xing
international conference on artificial intelligence 2234 -2240

69
2015
Avoiding optimal mean robust PCA/2DPCA with non-greedy L 1 -norm maximization

Alexander Hauptmann , Xiaojun Chang , Qinghua Zheng , Feiping Nie
international joint conference on artificial intelligence 1802 -1808

46
2016
Multi-view correlated feature learning by uncovering shared component

Bela Stantic , Xiaojun Chang , Sen Wang , Feiping Nie
national conference on artificial intelligence 2810 -2816

14
2017
Structure regularized unsupervised discriminant feature analysis

Dacheng Tao , Mingyu Fan , Xiaojun Chang
national conference on artificial intelligence 1870 -1876

18
2017
Probabilistic non-negative matrix factorization and its robust extensions for topic modeling

Alexander G. Hauptmann , Xiaojun Chang , Qinghua Zheng , Feiping Nie
national conference on artificial intelligence 2308 -2314

34
2017
Balanced Clustering via Exclusive Lasso: A Pragmatic Approach.

Zhigang Ma , Xiaojun Chang , Feiping Nie , Yi Yang
national conference on artificial intelligence 3596 -3603

4
2018
Semi-supervised Bayesian attribute learning for person re-identification

Xiaojun Chang , Ling Chen , Yi Yang , Wenhe Liu
national conference on artificial intelligence 7162 -7169

21
2018
MMALFM: Explainable Recommendation by Leveraging Reviews and Images

Mohan Kankanhalli , Zhiyong Cheng , Xiaojun Chang , Lei Zhu
arXiv: Information Retrieval

188
2018
Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction.

Mingkui Tan , Runhao Zeng , Xiaojun Chang , Fengda Zhu
arXiv: Learning

3
2019
A Convex Formulation for Spectral Shrunk Clustering

Zhigang Ma , Xiaofang Zhou , Xiaojun Chang , Feiping Nie
arXiv: Learning

47
2014
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations

Alexander Hauptmann , Po-Yao Huang , Xiaojun Chang
arXiv: Computation and Language

22
2019
Mining knowledge graphs for vision tasks

Zongyuan Ge , Minnan Luo , Xiaojun Chang , Xiaoran Bi
database systems for advanced applications 592 -594

2019
ZSTAD: Zero-Shot Temporal Activity Detection

Alexander Hauptmann , Sen Wang , Zongyuan Ge , Minnan Luo
arXiv: Computer Vision and Pattern Recognition

2020
Vision-Dialog Navigation by Exploring Cross-modal Memory

Xiaodan Liang , Jianbin Jiao , Xiaojun Chang , Yi Zhu
arXiv: Computer Vision and Pattern Recognition

38
2020
Inf@TRECVID 2019: Instance Search Task.

Alexander G. Hauptmann , Jiande Sun , Guoliang Kang , Wenhe Liu
TREC Video Retrieval Evaluation 2019

2019
MMVG-INF-Etrol@TRECVID 2019: Activities in Extended Video.

Xiaojun Chang , Wenhe Liu , Po-Yao Huang , Changlin Li
TREC Video Retrieval Evaluation 2019

5
2019