Mingming Gong

Research Fellow
Department of Biomedical Informatics
University of Pittsburgh
Cubicle 520c, 5607 Baum Bouevard, Pittsburgh, PA 15206

Email: gongmingnjuatgmaildotcom


Home              Research              Publications              CV



Preprints



Geometry-Consistent Adversarial Networks for Unsupervised Domain Mapping. [PDF]
Huan Fu*, Mingming Gong* , Chaohui Wang, Kayhan Batmanghelich, Kun Zhang, and Dacheng Tao.
arXiv:1809.05852.



Causal Generative Domain Adaptation Networks. [PDF]
Mingming Gong* , Kun Zhang*, Biwei Huang, Clark Glymour, Dacheng Tao, and Kayhan Batmanghelich.
arXiv:1804.04333.



Transfer Learning with Label Noise [PDF]
Xiyu Yu, Tongliang Liu, Mingming Gong, Kun Zhang, Kayhan Batmanghelich, and Dacheng Tao.
arXiv:1707.09724.


Journals



MoE-SPNet: A Mixture-of-Experts Scene Parsing Network. [PDF]
Huan Fu, Mingming Gong , Chaohui Wang, and Dacheng Tao.
Pattern Recognition 84: 226-236 (2018).



Large Cone Non-negative Matrix Factorization. [PDF]
Tongliang Liu, Mingming Gong , and Dacheng Tao.
IEEE Transactions on Neural Networks and Learning Systems 28(9): 2129-2142 (2017).



DERF: Distinctive Efficient Robust Features From the Biological Modeling of the P Ganglion Cells. [PDF]
Dawei Weng, Yunhong Wang, Mingming Gong , Dacheng Tao, Hui Wei, and Di Huang.
IEEE Transactions on Image Processing 24(8): 2287-2302 (2015).



Local Metric Learning for Exemplar-Based Object Detection. [PDF]
Xinge You, Qiang Li, Dacheng Tao, Weihua Ou, and Mingming Gong .
IEEE Transactions on Circuits and Systems for Video Technology: 1265-1276 (2014).



Spatial Pooling For Measuring Color Printing Quality Attributes. [PDF]
Mingming Gong and Marius Pedersen.
Journal of Visual Communication and Image Representation 23(5), pages: 685-696 (2012).



A Method Using Long Digital Straight Segments for Fingerprint Recognition. [PDF]
Xiubao Jiang, Xinge You, Yuan Yuan, and Mingming Gong .
Neurocomputing 77(1), pages: 28-35 (2012).


Conferences



Correcting the Triplet Selection Bias for Triplet Loss.
Baosheng Yu, Tongliang Liu, Mingming Gong , Changxing Ding, and Dacheng Tao.
Proceedings of 2018 European Conference on Computer Vision (ECCV 2018).



Deep Domain Generalization via Conditional Invariant Adversarial Networks.
Ya Li, Xinmei Tian, Mingming Gong , Yajing Liu, Tongliang Liu, Kun Zhang, and Dacheng Tao.
Proceedings of 2018 European Conference on Computer Vision (ECCV 2018).



Learning with Biased Complementary Labels.
Xiyu Yu, Tongliang Liu, Mingming Gong , and Dacheng Tao.
Proceedings of 2018 European Conference on Computer Vision (ECCV 2018). (Oral)



Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results. [PDF]
Kun Zhang, Mingming Gong , Joseph Ramsey, Kayhan Batmanghelich, Peter Spirtes, Clark Glymour​.
Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence (UAI 2018). (Oral)



Generative-Discriminative Approach from a Bag of Image Patches to a Vector. [PDF]
Sumedha Singla, Mingming Gong , Siamak Ravanbakhsh, Barnabas Poczos, and Kayhan Batmanghelich.
Proceedings of the 21th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018).



Deep Ordinal Regression Network for Monocular Depth Estimation. [PDF][Project Page]
Huan Fu, Mingming Gong , Chaohui Wang, Kayhan Batmanghelich, and Dacheng Tao.
Proceedings of 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018).



An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption. [PDF]
Xiyu Yu, Tongliang Liu, Mingming Gong , Kayhan Batmanghelich, and Dacheng Tao.
Proceedings of 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018).



Domain Generalization via Conditional Invariant Representations. [PDF][CODE]
Ya Li, Mingming Gong , Xinmei Tian, Tongliang Liu, and Dacheng Tao.
Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI 2018). (Oral)



A Coarse-Fine Network for Keypoint Localization. [PDF]
Shaoli Huang, Mingming Gong , and Dacheng Tao.
Proceedings of 2017 IEEE International Conference on Computer Vision (ICCV 2017). (Spotlight)



Causal Discovery from Temporally Aggregated Time Series. [PDF]
Mingming Gong , Kun Zhang, Bernhard Schölkopf, Clark Glymour, and Dacheng Tao.
Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence (UAI 2017).



Domain Adaptation with Conditional Transferable Components. [PDF][CODE]
Mingming Gong , Kun Zhang, Tongliang Liu, Dacheng Tao, Clark Glymour, and Bernhard Schölkopf.
Proceedings of the 33rd International Conference on Machine Learning (ICML 2016). (Oral)



Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components. [PDF][CODE]
Philipp Geiger, Kun Zhang, Mingming Gong , Bernhard Schölkopf, and Dominik Janzing.
Proceedings of the 32nd International Conference on Machine Learning (ICML 2015). (Oral)



Discovering Temporal Causal Relations from Subsampled Data. [PDF][CODE]
Mingming Gong *, Kun Zhang*, Bernhard Schölkopf, Dacheng Tao, and Philipp Geiger. (*Co-first author)
Proceedings of the 32nd International Conference on Machine Learning (ICML 2015). (Oral)



Multi-Source Domain Adaptation: A Causal View. [PDF][CODE]
Kun Zhang, Mingming Gong , and Bernhard Schölkopf.
Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015).