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2020 – today
- 2020
[j9]Ruxin Wang
, Mingming Gong, Dacheng Tao:
Receptive Field Size Versus Model Depth for Single Image Super-Resolution. IEEE Trans. Image Process. 29: 1669-1682 (2020)- [c34]Ziye Chen, Mingming Gong, Yanwu Xu, Chaohui Wang, Kun Zhang, Bo Du:
Compressed Self-Attention for Deep Metric Learning. AAAI 2020: 3561-3568 - [c33]Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich:
Generative-Discriminative Complementary Learning. AAAI 2020: 6526-6533 - [c32]Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour:
Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets. AAAI 2020: 10153-10161 - [c31]Ziye Chen, Mingming Gong, Lingjuan Ge, Bo Du:
Compressed Self-Attention for Deep Metric Learning with Low-Rank Approximation. IJCAI 2020: 2058-2064 - [c30]Mingming Gong:
Bridging Causality and Learning: How Do They Benefit from Each Other? IJCAI 2020: 5150-5153 - [i25]Kun Zhang, Mingming Gong, Petar Stojanov, Biwei Huang, Clark Glymour:
Domain Adaptation As a Problem of Inference on Graphical Models. CoRR abs/2002.03278 (2020) - [i24]Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Gang Niu, Masashi Sugiyama, Dacheng Tao:
Towards Mixture Proportion Estimation without Irreducibility. CoRR abs/2002.03673 (2020) - [i23]Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu:
Multi-Class Classification from Noisy-Similarity-Labeled Data. CoRR abs/2002.06508 (2020) - [i22]Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Jiankang Deng, Gang Niu, Masashi Sugiyama:
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning. CoRR abs/2006.07805 (2020) - [i21]Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu:
Class2Simi: A New Perspective on Learning with Label Noise. CoRR abs/2006.07831 (2020) - [i20]Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Mingming Gong, Haifeng Liu, Gang Niu, Dacheng Tao, Masashi Sugiyama:
Parts-dependent Label Noise: Towards Instance-dependent Label Noise. CoRR abs/2006.07836 (2020) - [i19]Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich:
Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN. CoRR abs/2008.01910 (2020) - [i18]Shanshan Zhao, Mingming Gong, Huan Fu, Dacheng Tao:
Adaptive Context-Aware Multi-Modal Network for Depth Completion. CoRR abs/2008.10833 (2020) - [i17]Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri:
Short-Term and Long-Term Context Aggregation Network for Video Inpainting. CoRR abs/2009.05721 (2020)
2010 – 2019
- 2019
- [j8]Zhifan Gao, Sitong Wu, Zhi Liu, Jianwen Luo, Heye Zhang, Mingming Gong, Shuo Li:
Learning the implicit strain reconstruction in ultrasound elastography using privileged information. Medical Image Anal. 58 (2019) - [c29]Petar Stojanov, Mingming Gong, Jaime G. Carbonell, Kun Zhang:
Low-Dimensional Density Ratio Estimation for Covariate Shift Correction. AISTATS 2019: 3449-3458 - [c28]Petar Stojanov, Mingming Gong, Jaime G. Carbonell, Kun Zhang:
Data-Driven Approach to Multiple-Source Domain Adaptation. AISTATS 2019: 3487-3496 - [c27]Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao:
Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping. CVPR 2019: 2427-2436 - [c26]Shanshan Zhao, Huan Fu, Mingming Gong, Dacheng Tao:
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation. CVPR 2019: 9788-9798 - [c25]Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour:
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models. ICML 2019: 2901-2910 - [c24]Mingming Gong, Yanwu Xu, Chunyuan Li, Kun Zhang, Kayhan Batmanghelich:
Twin Auxilary Classifiers GAN. NeurIPS 2019: 1328-1337 - [c23]Chenwei Ding, Mingming Gong, Kun Zhang, Dacheng Tao:
Likelihood-Free Overcomplete ICA and Applications In Causal Discovery. NeurIPS 2019: 6880-6890 - [c22]Biwei Huang, Kun Zhang, Pengtao Xie, Mingming Gong, Eric P. Xing, Clark Glymour:
Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering. NeurIPS 2019: 13510-13521 - [i16]Yanwu Xu, Mingming Gong, Tongliang Liu, Kayhan Batmanghelich, Chaohui Wang:
Robust Angular Local Descriptor Learning. CoRR abs/1901.07076 (2019) - [i15]Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich:
Generative-Discriminative Complementary Learning. CoRR abs/1904.01612 (2019) - [i14]Shanshan Zhao, Huan Fu, Mingming Gong, Dacheng Tao:
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation. CoRR abs/1904.01870 (2019) - [i13]Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour:
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models. CoRR abs/1905.10857 (2019) - [i12]Mingming Gong, Yanwu Xu, Chunyuan Li, Kun Zhang, Kayhan Batmanghelich:
Twin Auxiliary Classifiers GAN. CoRR abs/1907.02690 (2019) - [i11]Yipeng Mou, Mingming Gong, Huan Fu, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao:
Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach. CoRR abs/1907.06882 (2019) - [i10]Chenwei Ding, Mingming Gong, Kun Zhang, Dacheng Tao:
Likelihood-Free Overcomplete ICA and Applications in Causal Discovery. CoRR abs/1909.01525 (2019) - 2018
- [j7]Huan Fu, Mingming Gong, Chaohui Wang, Dacheng Tao:
MoE-SPNet: A mixture-of-experts scene parsing network. Pattern Recognit. 84: 226-236 (2018) - [c21]Ya Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao:
Domain Generalization via Conditional Invariant Representations. AAAI 2018: 3579-3587 - [c20]Yanwu Xu, Mingming Gong, Tongliang Liu, Kayhan Batmanghelich, Chaohui Wang:
Robust Angular Local Descriptor Learning. ACCV (5) 2018: 420-435 - [c19]Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Dacheng Tao:
Deep Ordinal Regression Network for Monocular Depth Estimation. CVPR 2018: 2002-2011 - [c18]Xiyu Yu, Tongliang Liu, Mingming Gong, Kayhan Batmanghelich, Dacheng Tao:
An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption. CVPR 2018: 4480-4489 - [c17]Xiyu Yu, Tongliang Liu, Mingming Gong, Dacheng Tao:
Learning with Biased Complementary Labels. ECCV (1) 2018: 69-85 - [c16]Baosheng Yu, Tongliang Liu, Mingming Gong, Changxing Ding, Dacheng Tao:
Correcting the Triplet Selection Bias for Triplet Loss. ECCV (6) 2018: 71-86 - [c15]Ya Li, Xinmei Tian, Mingming Gong, Yajing Liu, Tongliang Liu, Kun Zhang, Dacheng Tao:
Deep Domain Generalization via Conditional Invariant Adversarial Networks. ECCV (15) 2018: 647-663 - [c14]Yanwu Xu, Mingming Gong, Huan Fu, Dacheng Tao, Kun Zhang, Kayhan Batmanghelich:
Multi-scale Masked 3-D U-Net for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2018: 222-233 - [c13]Sumedha Singla, Mingming Gong, Siamak Ravanbakhsh, Frank C. Sciurba, Barnabás Póczos, Kayhan N. Batmanghelich:
Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector. MICCAI (1) 2018: 502-510 - [c12]Menghan Wang, Mingming Gong, Xiaolin Zheng, Kun Zhang:
Modeling Dynamic Missingness of Implicit Feedback for Recommendation. NeurIPS 2018: 6670-6679 - [c11]Kun Zhang, Mingming Gong, Joseph Ramsey, Kayhan Batmanghelich, Peter Spirtes, Clark Glymour:
Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results. UAI 2018: 1063-1072 - [i9]Mingming Gong, Kun Zhang, Biwei Huang, Clark Glymour, Dacheng Tao, Kayhan Batmanghelich:
Causal Generative Domain Adaptation Networks. CoRR abs/1804.04333 (2018) - [i8]Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Dacheng Tao:
Deep Ordinal Regression Network for Monocular Depth Estimation. CoRR abs/1806.02446 (2018) - [i7]Huan Fu, Mingming Gong, Chaohui Wang, Dacheng Tao:
MoE-SPNet: A Mixture-of-Experts Scene Parsing Network. CoRR abs/1806.07049 (2018) - [i6]Sumedha Singla, Mingming Gong, Siamak Ravanbakhsh, Frank C. Sciurba, Barnabás Póczos, Kayhan N. Batmanghelich:
Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector. CoRR abs/1806.11217 (2018) - [i5]Ya Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao:
Domain Generalization via Conditional Invariant Representation. CoRR abs/1807.08479 (2018) - [i4]Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao:
Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping. CoRR abs/1809.05852 (2018) - 2017
- [j6]Tongliang Liu, Mingming Gong, Dacheng Tao:
Large-Cone Nonnegative Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 28(9): 2129-2142 (2017) - [c10]Shaoli Huang, Mingming Gong, Dacheng Tao:
A Coarse-Fine Network for Keypoint Localization. ICCV 2017: 3047-3056 - [c9]Mingming Gong, Kun Zhang, Bernhard Schölkopf, Clark Glymour, Dacheng Tao:
Causal Discovery from Temporally Aggregated Time Series. UAI 2017 - [i3]Kun Zhang, Mingming Gong, Joseph Ramsey, Kayhan Batmanghelich, Peter Spirtes, Clark Glymour:
Causal Discovery in the Presence of Measurement Error: Identifiability Conditions. CoRR abs/1706.03768 (2017) - [i2]Huan Fu, Mingming Gong, Chaohui Wang, Dacheng Tao:
A Compromise Principle in Deep Monocular Depth Estimation. CoRR abs/1708.08267 (2017) - [i1]Xiyu Yu, Tongliang Liu, Mingming Gong, Dacheng Tao:
Learning with Biased Complementary Labels. CoRR abs/1711.09535 (2017) - 2016
- [j5]Jun Li, Chang Xu, Mingming Gong, Junliang Xing, Wankou Yang, Changyin Sun:
SERVE: Soft and Equalized Residual VEctors for image retrieval. Neurocomputing 207: 202-212 (2016) - [c8]Mingming Gong, Kun Zhang, Tongliang Liu, Dacheng Tao, Clark Glymour, Bernhard Schölkopf:
Domain Adaptation with Conditional Transferable Components. ICML 2016: 2839-2848 - 2015
- [j4]Dawei Weng, Yunhong Wang, Mingming Gong, Dacheng Tao, Hui Wei, Di Huang:
DERF: Distinctive Efficient Robust Features From the Biological Modeling of the P Ganglion Cells. IEEE Trans. Image Process. 24(8): 2287-2302 (2015) - [c7]Kun Zhang, Mingming Gong, Bernhard Schölkopf:
Multi-Source Domain Adaptation: A Causal View. AAAI 2015: 3150-3157 - [c6]Mingming Gong, Kun Zhang, Bernhard Schölkopf, Dacheng Tao, Philipp Geiger:
Discovering Temporal Causal Relations from Subsampled Data. ICML 2015: 1898-1906 - [c5]Philipp Geiger, Kun Zhang, Bernhard Schölkopf, Mingming Gong, Dominik Janzing:
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components. ICML 2015: 1917-1925 - 2014
- [j3]Xinge You, Qiang Li, Dacheng Tao, Weihua Ou, Mingming Gong:
Local Metric Learning for Exemplar-Based Object Detection. IEEE Trans. Circuits Syst. Video Technol. 24(8): 1265-1276 (2014) - 2012
- [j2]Xiubao Jiang, Xinge You, Yuan Yuan, Mingming Gong:
A method using long digital straight segments for fingerprint recognition. Neurocomputing 77(1): 28-35 (2012) - [j1]Mingming Gong, Marius Pedersen:
Spatial pooling for measuring color printing quality attributes. J. Vis. Commun. Image Represent. 23(5): 685-696 (2012) - [c4]Quanming Yao, Xiubao Jiang, Mingming Gong, Xinge You, Yu Liu, Duanquan Xu:
Efficient Group Learning with Hypergraph Partition in Multi-task Learning. CCPR 2012: 9-16 - [c3]Weihua Ou, Xinge You, Yiu-ming Cheung, Qinmu Peng, Mingming Gong, Xiubao Jiang:
Structured sparse coding for image representation based on L1-graph. ICPR 2012: 3220-3223 - 2011
- [c2]Wu Zeng, Long Zhou, Xiubao Jiang, Xinge You, Mingming Gong:
Clustering Based Image Denoising Using SURE-LET. CIS 2011: 1303-1307 - 2010
- [c1]Xiubao Jiang, Long Zhou, Mingming Gong, Xinge You:
Long digital straight segments for fingerprint matching. ICMLC 2010: 769-774
Coauthor Index
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