Mingming Gong


Publications


Preprints

  • Towards Mixture Proportion Estimation without Irreducibility. [PDF]
    Y. Yao, T. Liu, B. Han, M. Gong, G. Niu, M. Sugiyama, and D. Tao.
    arXiv:2002.03673.

  • Causal Generative Domain Adaptation Networks. [PDF]
    M. Gong*, K. Zhang*, B. Huang, C. Glymour, D. Tao, and K. Batmanghelich.
    arXiv:1804.04333.


Conference (* Equal Contribution)

  • Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?. [PDF] [CODE]
    P. Stojanov, Z. Li, M. Gong, R. Cai, J.G. Carbonell, and K. Zhang
    In NeurIPS, 2021.

  • Instance-dependent Label-noise Learning under a Structural Causal Model. [PDF] [CODE]
    Y. Yao, T. Liu, M. Gong, B. Han, G. Niu, and K. Zhang.
    In NeurIPS, 2021.

  • Unaligned Image-to-Image Translation by Learning to Reweight. [PDF]
    S. Xie, M. Gong, Y. Xu, and K. Zhang
    In ICCV, 2021.

  • Not All Operations Contribute Equally: Hierarchical Operation-adaptive Predictor for Neural Architecture Search.
    Z. Chen, Y. Zhan, B. Yu, M. Gong, and B. Du
    In ICCV, 2021.

  • Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels [PDF] [CODE]
    S. Wu*, X. Xia*, T. Liu, B. Han, M. Gong, N. Wang, H. Liu, and G. Niu
    In ICML, 2021.

  • Learning with Group Noise. [PDF][CODE]
    Q. Wang, J. Yao, C. Gong, T. Liu, M. Gong, H. Yang, and B. Han.
    In AAAI, 2021.

  • Domain Adaptation As a Problem of Inference on Graphical Models. [PDF][CODE]
    K. Zhang*, M. Gong*, P. Stojanov, B. Huang, Qingsong Liu, and C. Glymour.
    In NeurIPS, 2020.

  • Domain Generalization via Entropy Regularization. [PDF][CODE]
    S. Zhao, M. Gong, T. Liu, H. Fu, and D. Tao.
    In NeurIPS, 2020.

  • Parts-dependent Label Noise: Towards Instance-dependent Label Noise. [PDF][CODE]
    X. Xia, T. Liu, B. Han, N. Wang, M. Gong, H. Liu, G. Niu, D. Tao, and M. Sugiyama.
    In NeurIPS, 2020. (Spotlight)

  • Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning. [PDF][CODE]
    Y. Yao, T. Liu, B. Han, M. Gong, J. Deng, G. Niu, and M. Sugiyama.
    In NeurIPS, 2020.

  • Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning. [PDF][CODE]
    F. Fu*, S. Li*, R. Jia, M. Gong, B. Zhao, and D. Tao.
    In NeurIPS, 2020.

  • Short-Term and Long-Term Context Aggregation Network for Video Inpainting. [PDF]
    A. Li, S. Zhao, X. Ma, M. Gong, J. Qi, R. Zhang, D. Tao, and R. Kotagiri
    In ECCV, 2020. (Spotlight)

  • Sub-center ArcFace: Boosting Face Recognition by Large-scale Noisy Web Faces. [PDF][CODE]
    J. Deng, J. Guo, T. Liu, M. Gong, and S Zafeiriou.
    In ECCV, 2020.

  • Label-Noise Robust Domain Adaptation. [PDF]
    X. Yu, T. Liu, M. Gong, K. Zhang, K. Batmanghelich, and D. Tao.
    In ICML, 2020.

  • LTF: A Label Transformation Framework for Correcting Target Shift. [PDF][CODE]
    J. Guo, M. Gong, T. Liu, K. Zhang, and D. Tao.
    In ICML, 2020.

  • Compressed Self-Attention for Deep Metric Learning with Low-Rank Approximation. [PDF]
    Z. Chen, M. Gong, L. Ge, B. Du.
    In IJCAI, 2020.

  • Causal Discovery from Non-Identical Variable Sets. [PDF]
    B. Huang, K. Zhang, M. Gong, and C. Glymour.
    In AAAI, 2020.

  • Generative-Discriminative Complementary Learning. [PDF][CODE]
    Y. Xu*, M. Gong*, J. Chen, T. Liu, K. Zhang, and K. Batmanghelich.
    In AAAI, 2020.

  • Compressed Self-Attention for Deep Metric Learning. [PDF]
    Z. Chen, M. Gong, Y. Xu, C. Wang, K. Zhang, B. Du.
    In AAAI, 2020.

  • Twin Auxiliary Classifiers GAN. [PDF][CODE]
    M. Gong*, Y. Xu*, C. Li, K. Zhang, and K. Batmanghelich.
    In NeurIPS, 2019. (Spotlight, acceptance rate 2.4%)

  • Likelihood-Free Overcomplete ICA and Applications in Causal Discovery. [PDF][CODE]
    C. Ding, M. Gong, K. Zhang, and D. Tao.
    In NeurIPS, 2019. (Spotlight, acceptance rate 2.4%)

  • Specific and Shared Causal Relation Modeling and Mechanism-based Clustering. [PDF]
    B. Huang, K. Zhang, P. Xie, M. Gong, E. P. Xing, and C. Glymour.
    In NeurIPS, 2019.

  • Discovery and Forecasting in Nonstationary Environments with State-Space Models. [PDF][SUPP][CODE]
    B. Huang, K. Zhang, M. Gong, and C. Glymour.
    In ICML, 2019.

  • Geometry-Consistent Adversarial Networks for Unsupervised Domain Mapping. [PDF][CODE]
    H. Fu*, M. Gong*, C. Wang, K. Batmanghelich, K. Zhang, and D. Tao.
    In CVPR, 2019. (best paper finalist, top 1%)

  • Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation. [PDF][CODE]
    S. Zhao, H. Fu, M. Gong, and D. Tao.
    In CVPR, 2019.

  • Low-Dimensional Density Ratio Estimation for Covariate Shift Correction. [PDF]
    P. Stojanov, M. Gong, J. G. Carbonell, and K. Zhang.
    In AISTATS, 2019.

  • Data-Driven Approach to Multiple-Source Domain Adaptation. [PDF]
    P. Stojanov, M. Gong, J. G. Carbonell, and K. Zhang.
    In AISTATS, 2019.

  • Modeling Dynamic Missingness of Implicit Feedback for Recommendation. [PDF]
    M. Wang, M. Gong, X. Zheng, and K. Zhang.
    In NeurIPS, 2018.

  • Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results. [PDF]
    K. Zhang, M. Gong, J. Ramsey, K. Batmanghelich, P. Spirtes, and C. Glymour​.
    In UAI, 2018. (Oral, acceptance rate 8.9%)

  • Generative-Discriminative Approach from a Bag of Image Patches to a Vector. [PDF]
    S. Singla, M. Gong, S. Ravanbakhsh, B. Poczos, and K. Batmanghelich.
    In MICCAI, 2018.

  • Learning with Biased Complementary Labels. [PDF]
    X. Yu, T. Liu, M. Gong, and D. Tao.
    In ECCV, 2018. (Oral, acceptance rate 2.4%)

  • Correcting the Triplet Selection Bias for Triplet Loss. [PDF][CODE]
    B. Yu, T. Liu, M. Gong, C. Ding, and D. Tao.
    In ECCV, 2018.

  • Deep Domain Generalization via Conditional Invariant Adversarial Networks. [PDF][CODE]
    Y. Li, X. Tian, M. Gong, Y. Liu, T. Liu, K. Zhang, and D. Tao.
    In ECCV, 2018.

  • Deep Ordinal Regression Network for Monocular Depth Estimation. [PDF][CODE]
    H. Fu, M. Gong, C. Wang, K. Batmanghelich, and D. Tao.
    In CVPR, 2018.
    This algorithm won the 1st prize in single image depth prediction competition, Robust Vision Challenge 2018.

  • An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption. [PDF][CODE]
    X. Yu, T. Liu, M. Gong, K. Batmanghelich, and D. Tao.
    In CVPR, 2018.

  • Domain Generalization via Conditional Invariant Representations. [PDF][CODE]
    Y. Li, M. Gong, X. Tian, T. Liu, and D. Tao.
    In AAAI, 2018 (Oral, acceptance rate 11.0%)

  • Causal Discovery from Temporally Aggregated Time Series. [PDF]
    M. Gong, K. Zhang, B. Schölkopf, C. Glymour, and D. Tao.
    In UAI, 2017.

  • A Coarse-Fine Network for Keypoint Localization. [PDF]
    S. Huang, M. Gong, and D. Tao.
    In ICCV, 2017. (Spotlight, acceptance rate 2.6%)

  • Domain Adaptation with Conditional Transferable Components. [PDF][CODE]
    M. Gong, K. Zhang, T. Liu, D. Tao, C. Glymour, and B. Schölkopf.
    In ICML, 2016.

  • Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components. [PDF][CODE]
    P. Geiger, K. Zhang, M. Gong, B. Schölkopf, and D. Janzing.
    In ICML, 2015.

  • Discovering Temporal Causal Relations from Subsampled Data. [PDF][CODE]
    M. Gong*, K. Zhang*, B. Schölkopf, D. Tao, and P. Geiger.
    In ICML, 2015.

  • Multi-Source Domain Adaptation: A Causal View. [PDF][CODE]
    K. Zhang, M. Gong, and B. Schölkopf.
    In AAAI, 2015.


Journal

  • 3D-FUTURE: 3D Furniture shape with TextURE. [PDF]
    H. Fu, R. Jia, L. Gao, M. Gong, B. Zhao, S. Maybank, and D. Tao.
    IJCV, 129(12), 3313-3337 (2021).

  • Adaptive Context-Aware Multi-Modal Network for Depth Completion.
    S. Zhao, M. Gong, H. Fu, D. Tao
    IEEE T-IP, 30, 5264-5276 (2021).

  • HRSiam: High-Resolution Siamese Network, Towards Space-Borne Satellite Video Tracking.
    J. Shao, B. Du, C. Wu, M. Gong, T. Liu
    IEEE T-IP, 30, 3056-3068 (2021).

  • Unpaired Data Empowers Association Tests. [PDF]
    M. Gong, P. Liu, F. C. Sciurba, P. Stojanov, D. Tao, G. C. Tseng, K. Zhang, K. Batmanghelich
    Bioinformatics, 37, 785-792 (2021).

  • LogDet Metric-Based Domain Adaptation. [PDF]
    Y. Liu, B. Du, W. Tu, M. Gong, Y. Guo, and D. Tao.
    IEEE T-NNLS, 2129-2142 (2020).

  • Learning the Implicit Strain Reconstruction in Ultrasound Elastography using Privileged Information. [PDF]
    Z. Gao, S. Wu, Z. Liu, J. Luo, H. Zhang, M. Gong, and S. Li.
    Medical Image Analysis, 58, (2019).

  • Receptive Field Size Versus Model Depth for Single Image Super-Resolution. [PDF]
    R. Wang, M. Gong, D. Tao.
    IEEE T-IP, 29: 1669-1682 (2019).

  • Large Cone Non-negative Matrix Factorization. [PDF]
    T. Liu, M. Gong, and D. Tao.
    IEEE T-NNLS, 28(9): 2129-2142 (2017).

  • DERF: Distinctive Efficient Robust Features From the Biological Modeling of the P Ganglion Cells. [PDF]
    D. Weng, Y. Wang, M. Gong, D. Tao, H. Wei, and D. Huang.
    IEEE T-IP, 24(8): 2287-2302 (2015).