Mingming Gong

LogDet Metric-Based Domain Adaptation

Youfa Liu, Bo Du, Weiping Tu, Mingming Gong, Yuhong Guo, Dacheng Tao

Journal article  |  2020  |  IEEE Transactions on Neural Networks and Learning Systems (TNNLS; ERA Rank A*)

Domain adaptation has proven to be successful in dealing with the case where training and test samples are drawn from two kinds of..

Causal Discovery from Non-Identical Variable Sets

Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour

Conference Proceedings  |  2020  |  Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI; CORE Rank A*)

A number of approaches to causal discovery assume that there are no hidden confounders and are designed to learn a fixed causal mo..

Generative-Discriminative Complementary Learning

Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich

Conference Proceedings  |  2020  |  Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI; CORE Rank A*)

The majority of state-of-the-art deep learning methods are discriminative approaches, which model the conditional distribution of ..

Compressed Self-Attention for Deep Metric Learning

Chen Ziye, Mingming Gong, Yanwu Xu, Chaohui Wang, Kun Zhang, Bo Du

Conference Proceedings  |  2020  |  Thirty-Fourth Proceedings of the AAAI Conference on Artificial Intelligence

In this paper, we aim to enhance self-attention (SA) mechanism for deep metric learning in visual perception, by capturing richer ..

Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering

Biwei Huang, Kun Zhang, Pengtao Xie, Mingming Gong, Eric P Xing, Clark Glymour

Conference Proceedings  |  2020  |  Advances in Neural Information Processing Systems (NeurIPS; CORE Rank A*)

State-of-the-art approaches to causal discovery usually assume a fixed underlying causal model. However, it is often the case that..

Short-Term and Long-Term Context Aggregation Network for Video Inpainting

A Li, S Zhao, X Ma, M Gong, J Qi, R Zhang, D Tao, R Kotagiri

Conference Proceedings  |  2020  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Video inpainting aims to restore missing regions of a video and has many applications such as video editing and object removal. Ho..

Twin Auxilary Classifiers GAN

Mingming Gong, Yanwu Xu, Chunyuan Li, Kun Zhang, Kayhan Batmanghelich

Conference Proceedings  |  2020  |  Advances in Neural Information Processing Systems (NeurIPS; CORE Rank A*)

Conditional generative models enjoy remarkable progress over the past few years. One of the popular conditional models is Auxiliar..

Likelihood-Free Overcomplete ICA and Applications In Causal Discovery

DING Chenwei, Mingming Gong, Kun Zhang, Dacheng Tao

Conference Proceedings  |  2020  |  Advances in Neural Information Processing Systems (NeurIPS; CORE Rank A*)

Causal discovery witnessed significant progress over the past decades. In particular, many recent causal discovery methods make us..

Receptive Field Size vs. Model Depth for Single Image Super-resolution.

Ruxin Wang, Mingming Gong, Dacheng Tao

Journal article  |  2019  |  IEEE Transactions on Image Processing (TIP; ERA Rank A*)

The performance of single image super-resolution (SISR) has been largely improved by innovative designs of deep architectures. An ..

Low-Dimensional Density Ratio Estimation for Covariate Shift Correction

Petar Stojanov, Mingming Gong, Jaime Carbonell, Kun Zhang

Conference Proceedings  |  2019  |  The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS, CORE Rank A)