Bing Su

Orcid: 0000-0001-8560-1910

Affiliations:
  • Renmin University of China, Beijing, China
  • Chinese Academy of Sciences, Institute of Software, Beijing, China (former)
  • Tsinghua University, Beijing, China (PhD 2016)


According to our database1, Bing Su authored at least 62 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Instance-Specific Semantic Augmentation for Long-Tailed Image Classification.
IEEE Trans. Image Process., 2024

On the Causal Sufficiency and Necessity of Multi-Modal Representation Learning.
CoRR, 2024

Explicitly Modeling Universality into Self-Supervised Learning.
CoRR, 2024

Domain-adaptive and Subgroup-specific Cascaded Temperature Regression for Out-of-distribution Calibration.
CoRR, 2024

Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position-Aware Active Learning for Multi-Modal Entity Alignment.
Proceedings of the IEEE International Conference on Acoustics, 2024

Dynamic Prompt Optimizing for Text-to-Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity.
IEEE Trans. Knowl. Data Eng., July, 2023

Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning.
Int. J. Comput. Vis., May, 2023

Discriminative Self-Paced Group-Metric Adaptation for Online Visual Identification.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation.
IEEE Trans. Knowl. Data Eng., March, 2023

Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning.
CoRR, 2023

Toward Auto-evaluation with Confidence-based Category Relation-aware Regression.
CoRR, 2023

Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Cross-Modal Graph Attention Network for Entity Alignment.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Spatio-Temporal Branching for Motion Prediction using Motion Increments.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Temporal-enhanced Cross-modality Fusion Network for Video Sentence Grounding.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Exploring Temporal Concurrency for Video-Language Representation Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Decaying Contrast for Fine-Grained Video Representation Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Preformer: Predictive Transformer with Multi-Scale Segment-Wise Correlations for Long-Term Time Series Forecasting.
Proceedings of the IEEE International Conference on Acoustics, 2023

Task-Sensitive Discriminative Mutual Attention Network for Few-Shot Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Modeling Video as Stochastic Processes for Fine-Grained Video Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Self-Supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Linear and Deep Order-Preserving Wasserstein Discriminant Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning Meta-Distance for Sequences by Learning a Ground Metric via Virtual Sequence Regression.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

RHMC: Modeling consistent information from deep multiple views via Regularized and Hybrid Multiview Coding.
Knowl. Based Syst., 2022

Transductive distribution calibration for few-shot learning.
Neurocomputing, 2022

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language.
CoRR, 2022

Supporting Vision-Language Model Inference with Causality-pruning Knowledge Prompt.
CoRR, 2022

SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Log-Polar Space Convolution Layers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Interventional Contrastive Learning with Meta Semantic Regularizer.
Proceedings of the International Conference on Machine Learning, 2022

MetAug: Contrastive Learning via Meta Feature Augmentation.
Proceedings of the International Conference on Machine Learning, 2022

Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Optimal Partial Transport Based Sentence Selection for Long-form Document Matching.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Auxiliary task guided mean and covariance alignment network for adversarial domain adaptation.
Knowl. Based Syst., 2021

Log-Polar Space Convolution for Convolutional Neural Networks.
CoRR, 2021

Unsupervised Embedding Learning from Uncertainty Momentum Modeling.
CoRR, 2021

2020
Learning Low-Dimensional Temporal Representations with Latent Alignments.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Order-Preserving Optimal Transport for Distances between Sequences.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Learning Distance for Sequences by Learning a Ground Metric.
Proceedings of the 36th International Conference on Machine Learning, 2019

Order-Preserving Wasserstein Discriminant Analysis.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Heteroscedastic Max-Min Distance Analysis for Dimensionality Reduction.
IEEE Trans. Image Process., 2018

Discriminative Dimensionality Reduction for Multi-Dimensional Sequences.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Learning Low-Dimensional Temporal Representations.
Proceedings of the 35th International Conference on Machine Learning, 2018

Spatiotemporal Pyramid Pooling in 3D Convolutional Neural Networks for Action Recognition.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Feature Fusion Network for Scene Text Detection.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Unsupervised Hierarchical Dynamic Parsing and Encoding for Action Recognition.
IEEE Trans. Image Process., 2017

Discriminative Transformation for Multi-Dimensional Temporal Sequences.
IEEE Trans. Image Process., 2017

Order-Preserving Wasserstein Distance for Sequence Matching.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Hierarchical Dynamic Parsing and Encoding for Action Recognition.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Heteroscedastic max-min distance analysis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2013
A Novel Baseline-independent Feature Set for Arabic Handwriting Recognition.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

Cross-Language Sensitive Words Distribution Map: A Novel Recognition-Based Document Understanding Method for Uighur and Tibetan.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

Linear Sequence Discriminant Analysis: A Model-Based Dimensionality Reduction Method for Vector Sequences.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2011
SemiBoost-based Arabic character recognition method.
Proceedings of the Document Recognition and Retrieval XVIII, 2011


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