Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Counterfactual Fairness with Partially Known Causal Graph.

[BibT_eX]

[DOI]

Aoqi Zuo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Truncated Matrix Power Iteration for Differentiable DAG Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Sample-Efficient Kernel Mean Estimator with Marginalized Corrupted Data.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Research on ultra-wideband (UWB) indoor accurate positioning technology under signal interference.

[BibT_eX]

[DOI]

Mingming Gong

Zhiyang Li

Wuyungerile Li

Proceedings of the 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2022

Robust Weight Perturbation for Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Understanding Robust Overfitting of Adversarial Training and Beyond.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Adversarial Robustness Through the Lens of Causality.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Rethinking Class-Prior Estimation for Positive-Unlabeled Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Sample Selection with Uncertainty of Losses for Learning with Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Jiaxian Guo

Mingming Gong

Dacheng Tao

Proceedings of the Tenth International Conference on Learning Representations, 2022

Digging into Radiance Grid for Real-Time View Synthesis with Detail Preservation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Exploring Set Similarity for Dense Self-supervised Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CRIS: CLIP-Driven Referring Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Few-Shot Font Generation by Learning Fine-Grained Local Styles.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Fair Classification with Instance-dependent Label Noise.

[BibT_eX]

[DOI]

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

Adaptive Context-Aware Multi-Modal Network for Depth Completion.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

HRSiam: High-Resolution Siamese Network, Towards Space-Borne Satellite Video Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Dynamic Joint Distribution Alignment Network for Bearing Fault Diagnosis Under Variable Working Conditions.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2021

3D-FUTURE: 3D Furniture Shape with TextURE.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2021

Federated Causal Discovery.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2021

Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision.

[BibT_eX]

[DOI]

CoRR, 2021

Kernel Mean Estimation by Marginalized Corrupted Distributions.

[BibT_eX]

[DOI]

CoRR, 2021

Instance Correction for Learning with Open-set Noisy Labels.

[BibT_eX]

[DOI]

CoRR, 2021

Unpaired data empowers association tests.

[BibT_eX]

[DOI]

Bioinform., 2021

Instance-dependent Label-noise Learning under a Structural Causal Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Vecnet: A Spectral and Multi-Scale Spatial Fusion Deep Network for Pixel-Level Cloud Type Classification in Himawari-8 Imagery.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Disentangled Feature Network for Fine-Grained Recognition.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Dual-Regularization Complementary Learning for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Unaligned Image-to-Image Translation by Learning to Reweight.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Not All Operations Contribute Equally: Hierarchical Operation-adaptive Predictor for Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning with Group Noise.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

LogDet Metric-Based Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Receptive Field Size Versus Model Depth for Single Image Super-Resolution.

[BibT_eX]

[DOI]

Ruxin Wang

Mingming Gong

Dacheng Tao

IEEE Trans. Image Process., 2020

Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN.

[BibT_eX]

[DOI]

CoRR, 2020

Parts-dependent Label Noise: Towards Instance-dependent Label Noise.

[BibT_eX]

[DOI]

CoRR, 2020

Class2Simi: A New Perspective on Learning with Label Noise.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-Class Classification from Noisy-Similarity-Labeled Data.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Mixture Proportion Estimation without Irreducibility.

[BibT_eX]

[DOI]

CoRR, 2020

Domain Adaptation As a Problem of Inference on Graphical Models.

[BibT_eX]

[DOI]

CoRR, 2020

Domain Generalization via Entropy Regularization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Part-dependent Label Noise: Towards Instance-dependent Label Noise.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Domain Adaptation as a Problem of Inference on Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bridging Causality and Learning: How Do They Benefit from Each Other?

[BibT_eX]

[DOI]

Mingming Gong

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Compressed Self-Attention for Deep Metric Learning with Low-Rank Approximation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Label-Noise Robust Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

LTF: A Label Transformation Framework for Correcting Label Shift.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

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

[BibT_eX]

[DOI]

Ramamohanarao Kotagiri

Proceedings of the Computer Vision - ECCV 2020, 2020

Sub-center ArcFace: Boosting Face Recognition by Large-Scale Noisy Web Faces.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Generative-Discriminative Complementary Learning.

[BibT_eX]

[DOI]

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

Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets.

[BibT_eX]

[DOI]

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

Compressed Self-Attention for Deep Metric Learning.

[BibT_eX]

[DOI]

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

2019

Learning the implicit strain reconstruction in ultrasound elastography using privileged information.

[BibT_eX]

[DOI]

Medical Image Anal., 2019

Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach.

[BibT_eX]

[DOI]

CoRR, 2019

Twin Auxiliary Classifiers GAN.

[BibT_eX]

[DOI]

CoRR, 2019

Robust Angular Local Descriptor Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Twin Auxilary Classifiers GAN.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Likelihood-Free Overcomplete ICA and Applications In Causal Discovery.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Data-Driven Approach to Multiple-Source Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Low-Dimensional Density Ratio Estimation for Covariate Shift Correction.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

MoE-SPNet: A mixture-of-experts scene parsing network.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping.

[BibT_eX]

[DOI]

CoRR, 2018

Domain Generalization via Conditional Invariant Representation.

[BibT_eX]

[DOI]

CoRR, 2018

Causal Generative Domain Adaptation Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Modeling Dynamic Missingness of Implicit Feedback for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multi-scale Masked 3-D U-Net for Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector.

[BibT_eX]

[DOI]

Kayhan N. Batmanghelich

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Learning with Biased Complementary Labels.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Correcting the Triplet Selection Bias for Triplet Loss.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Domain Generalization via Conditional Invariant Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Ordinal Regression Network for Monocular Depth Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Robust Angular Local Descriptor Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2018, 2018

Domain Generalization via Conditional Invariant Representations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Causal and causally-inspired learning

[BibT_eX]

[DOI]

Mingming Gong

PhD thesis, 2017

Large-Cone Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Tongliang Liu

Mingming Gong

Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2017

A Compromise Principle in Deep Monocular Depth Estimation.

[BibT_eX]

[DOI]

CoRR, 2017

Causal Discovery in the Presence of Measurement Error: Identifiability Conditions.

[BibT_eX]

[DOI]

CoRR, 2017

Causal Discovery from Temporally Aggregated Time Series.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

A Coarse-Fine Network for Keypoint Localization.

[BibT_eX]

[DOI]

Shaoli Huang

Mingming Gong

Dacheng Tao

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

SERVE: Soft and Equalized Residual VEctors for image retrieval.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Domain Adaptation with Conditional Transferable Components.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

DERF: Distinctive Efficient Robust Features From the Biological Modeling of the P Ganglion Cells.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

Discovering Temporal Causal Relations from Subsampled Data.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Multi-Source Domain Adaptation: A Causal View.

[BibT_eX]

[DOI]

Kun Zhang

Mingming Gong

Bernhard Schölkopf

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Local Metric Learning for Exemplar-Based Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2014

2012

Spatial pooling for measuring color printing quality attributes.

[BibT_eX]

[DOI]

Mingming Gong

Marius Pedersen

J. Vis. Commun. Image Represent., 2012

A method using long digital straight segments for fingerprint recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2012

Structured sparse coding for image representation based on L1-graph.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Efficient Group Learning with Hypergraph Partition in Multi-task Learning.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - Chinese Conference, 2012

2011

Clustering Based Image Denoising Using SURE-LET.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

2010

Long digital straight segments for fingerprint matching.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Mingming Gong

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...