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ORCIDBing Su 0001
Person information
- affiliation: Renmin University of China, Beijing, China
- affiliation (former): Chinese Academy of Sciences, Institute of Software, Beijing, China
- affiliation (PhD 2016): Tsinghua University, Beijing, China
Other persons with the same name
- Bing Su — disambiguation page
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2020 – today
- 2024
[j16]Jiahao Chen
, Bing Su:
Instance-Specific Semantic Augmentation for Long-Tailed Image Classification. IEEE Trans. Image Process. 33: 2544-2557 (2024)- [c37]Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen, Qing Yang:
Dynamic Prompt Optimizing for Text-to-Image Generation. CVPR 2024: 26617-26626 - [c36]Baogui Xu, Yafei Lu, Bing Su, Xiaoran Yan:
Position-Aware Active Learning for Multi-Modal Entity Alignment. ICASSP 2024: 8215-8219 - [c35]Jinxia Yang, Bing Su, Xin Zhao, Ji-Rong Wen:
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training. ICML 2024 - [i23]Jiexin Wang, Jiahao Chen, Bing Su:
Domain-adaptive and Subgroup-specific Cascaded Temperature Regression for Out-of-distribution Calibration. CoRR abs/2402.09204 (2024) - [i22]Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen, Qing Yang:
Dynamic Prompt Optimizing for Text-to-Image Generation. CoRR abs/2404.04095 (2024) - [i21]Jingyao Wang, Wenwen Qiang, Zeen Song, Lingyu Si, Jiangmeng Li, Changwen Zheng, Bing Su:
Explicitly Modeling Universality into Self-Supervised Learning. CoRR abs/2405.01053 (2024) - [i20]Jinxia Yang, Bing Su, Wayne Xin Zhao, Ji-Rong Wen:
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training. CoRR abs/2405.19654 (2024) - [i19]Jingyao Wang, Wenwen Qiang, Jiangmeng Li, Lingyu Si, Changwen Zheng, Bing Su:
On the Causal Sufficiency and Necessity of Multi-Modal Representation Learning. CoRR abs/2407.14058 (2024) - 2023
- [j15]Wenwen Qiang, Jiangmeng Li, Bing Su, Jianlong Fu, Hui Xiong, Ji-Rong Wen:
Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning. Int. J. Comput. Vis. 131(5): 1211-1233 (2023) - [j14]Jiahuan Zhou, Bing Su, Ying Wu:
Discriminative Self-Paced Group-Metric Adaptation for Online Visual Identification. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4368-4383 (2023) - [j13]Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong:
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35(3): 3014-3029 (2023) - [j12]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Farid Razzak, Ji-Rong Wen, Hui Xiong:
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. IEEE Trans. Knowl. Data Eng. 35(7): 7220-7238 (2023) - [c34]Yujie Zhou, Haodong Duan, Anyi Rao, Bing Su, Jiaqi Wang:
Self-Supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences. AAAI 2023: 3825-3833 - [c33]Heng Zhang, Daqing Liu, Qi Zheng, Bing Su:
Modeling Video as Stochastic Processes for Fine-Grained Video Representation Learning. CVPR 2023: 2225-2234 - [c32]Jiahao Chen, Bing Su:
Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution. CVPR 2023: 19978-19987 - [c31]Baogui Xu, Chengjin Xu, Zhiwu Lu, Bing Su:
Task-Sensitive Discriminative Mutual Attention Network for Few-Shot Learning. ECAI 2023: 2784-2791 - [c30]Dazhao Du, Bing Su, Zhewei Wei:
Preformer: Predictive Transformer with Multi-Scale Segment-Wise Correlations for Long-Term Time Series Forecasting. ICASSP 2023: 1-5 - [c29]Heng Zhang, Bing Su:
Decaying Contrast for Fine-Grained Video Representation Learning. ICASSP 2023: 1-5 - [c28]Heng Zhang, Daqing Liu, Zezhong Lv, Bing Su, Dacheng Tao:
Exploring Temporal Concurrency for Video-Language Representation Learning. ICCV 2023: 15522-15532 - [c27]Zezhong Lv, Bing Su:
Temporal-enhanced Cross-modality Fusion Network for Video Sentence Grounding. ICME 2023: 1487-1492 - [c26]Baogui Xu, Chengjin Xu, Bing Su:
Cross-Modal Graph Attention Network for Entity Alignment. ACM Multimedia 2023: 3715-3723 - [c25]Zhao Yang, Bing Su, Ji-Rong Wen:
Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling. ACM Multimedia 2023: 3954-3964 - [c24]Jiexin Wang, Yujie Zhou, Wenwen Qiang, Ying Ba, Bing Su, Ji-Rong Wen:
Spatio-Temporal Branching for Motion Prediction using Motion Increments. ACM Multimedia 2023: 4290-4299 - [c23]Yujie Zhou, Wenwen Qiang, Anyi Rao, Ning Lin, Bing Su, Jiaqi Wang:
Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization. ACM Multimedia 2023: 5302-5310 - [c22]Zezhong Lv, Bing Su, Ji-Rong Wen:
Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization. ACM Multimedia 2023: 6539-6547 - [i18]Yujie Zhou, Haodong Duan, Anyi Rao, Bing Su, Jiaqi Wang:
Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences. CoRR abs/2302.09018 (2023) - [i17]Jiahao Chen, Bing Su:
Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution. CoRR abs/2304.06537 (2023) - [i16]Jiexin Wang, Jiahao Chen, Bing Su:
Toward Auto-evaluation with Confidence-based Category Relation-aware Regression. CoRR abs/2304.08288 (2023) - [i15]Jiahao Chen, Yurou Liu, Jiangmeng Li, Bing Su, Jirong Wen:
Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning. CoRR abs/2305.12618 (2023) - [i14]Zhao Yang, Bing Su, Ji-Rong Wen:
Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling. CoRR abs/2308.01850 (2023) - [i13]Yujie Zhou, Wenwen Qiang, Anyi Rao, Ning Lin, Bing Su, Jiaqi Wang:
Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization. CoRR abs/2308.03950 (2023) - [i12]Zezhong Lv, Bing Su, Ji-Rong Wen:
Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization. CoRR abs/2308.05648 (2023) - 2022
- [j11]Gang Li, Changwen Zheng, Bing Su:
Transductive distribution calibration for few-shot learning. Neurocomputing 500: 604-615 (2022) - [j10]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su:
RHMC: Modeling consistent information from deep multiple views via Regularized and Hybrid Multiview Coding. Knowl. Based Syst. 241: 108201 (2022) - [j9]Bing Su, Ying Wu:
Learning Meta-Distance for Sequences by Learning a Ground Metric via Virtual Sequence Regression. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 286-301 (2022) - [j8]Bing Su, Jiahuan Zhou, Ji-Rong Wen, Ying Wu:
Linear and Deep Order-Preserving Wasserstein Discriminant Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3123-3138 (2022) - [c21]Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong, Ji-Rong Wen:
Optimal Partial Transport Based Sentence Selection for Long-form Document Matching. COLING 2022: 2363-2373 - [c20]Bing Su, Ji-Rong Wen:
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification. ICLR 2022 - [c19]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong:
MetAug: Contrastive Learning via Meta Feature Augmentation. ICML 2022: 12964-12978 - [c18]Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong:
Interventional Contrastive Learning with Meta Semantic Regularizer. ICML 2022: 18018-18030 - [c17]Bing Su, Ji-Rong Wen:
Log-Polar Space Convolution Layers. NeurIPS 2022 - [c16]Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong:
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning. NeurIPS 2022 - [c15]Gang Li, Heliang Zheng, Daqing Liu, Chaoyue Wang, Bing Su, Changwen Zheng:
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders. NeurIPS 2022 - [i11]Dazhao Du, Bing Su, Zhewei Wei:
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting. CoRR abs/2202.11356 (2022) - [i10]Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong:
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation. CoRR abs/2203.04156 (2022) - [i9]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong:
MetAug: Contrastive Learning via Meta Feature Augmentation. CoRR abs/2203.05119 (2022) - [i8]Jiangmeng Li, Wenyi Mo, Wenwen Qiang, Bing Su, Changwen Zheng:
Supporting Vision-Language Model Inference with Causality-pruning Knowledge Prompt. CoRR abs/2205.11100 (2022) - [i7]Gang Li, Heliang Zheng, Daqing Liu, Chaoyue Wang, Bing Su, Changwen Zheng:
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders. CoRR abs/2206.10207 (2022) - [i6]Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong:
Interventional Contrastive Learning with Meta Semantic Regularizer. CoRR abs/2206.14702 (2022) - [i5]Bing Su, Dazhao Du, Zhao Yang, Yujie Zhou, Jiangmeng Li, Anyi Rao, Hao Sun, Zhiwu Lu, Ji-Rong Wen:
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language. CoRR abs/2209.05481 (2022) - [i4]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Farid Razzak, Ji-Rong Wen, Hui Xiong:
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. CoRR abs/2209.07811 (2022) - [i3]Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong:
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning. CoRR abs/2209.07902 (2022) - 2021
- [j7]Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su:
Auxiliary task guided mean and covariance alignment network for adversarial domain adaptation. Knowl. Based Syst. 223: 107066 (2021) - [i2]Jiahuan Zhou, Yansong Tang, Bing Su, Ying Wu:
Unsupervised Embedding Learning from Uncertainty Momentum Modeling. CoRR abs/2107.08892 (2021) - [i1]Bing Su, Ji-Rong Wen:
Log-Polar Space Convolution for Convolutional Neural Networks. CoRR abs/2107.11943 (2021) - 2020
- [j6]Bing Su, Ying Wu:
Learning Low-Dimensional Temporal Representations with Latent Alignments. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2842-2857 (2020) - [c14]Jiahuan Zhou, Bing Su, Ying Wu:
Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification. CVPR 2020: 2906-2915
2010 – 2019
- 2019
- [j5]Bing Su, Gang Hua:
Order-Preserving Optimal Transport for Distances between Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 41(12): 2961-2974 (2019) - [c13]Bing Su, Jiahuan Zhou, Ying Wu:
Order-Preserving Wasserstein Discriminant Analysis. ICCV 2019: 9884-9893 - [c12]Bing Su, Ying Wu:
Learning Distance for Sequences by Learning a Ground Metric. ICML 2019: 6015-6025 - 2018
- [j4]Bing Su, Xiaoqing Ding, Hao Wang, Ying Wu:
Discriminative Dimensionality Reduction for Multi-Dimensional Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 77-91 (2018) - [j3]Bing Su, Xiaoqing Ding, Changsong Liu, Ying Wu:
Heteroscedastic Max-Min Distance Analysis for Dimensionality Reduction. IEEE Trans. Image Process. 27(8): 4052-4065 (2018) - [c11]Jiahuan Zhou, Bing Su, Ying Wu:
Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints. CVPR 2018: 5373-5381 - [c10]Chenqin Cai, Pin Lv, Bing Su:
Feature Fusion Network for Scene Text Detection. ICIP 2018: 2755-2759 - [c9]Cheng Cheng, Pin Lv, Bing Su:
Spatiotemporal Pyramid Pooling in 3D Convolutional Neural Networks for Action Recognition. ICIP 2018: 3468-3472 - [c8]Bing Su, Ying Wu:
Learning Low-Dimensional Temporal Representations. ICML 2018: 4768-4777 - 2017
- [j2]Bing Su, Xiaoqing Ding, Changsong Liu, Hao Wang, Ying Wu:
Discriminative Transformation for Multi-Dimensional Temporal Sequences. IEEE Trans. Image Process. 26(7): 3579-3593 (2017) - [j1]Bing Su, Jiahuan Zhou, Xiaoqing Ding, Ying Wu:
Unsupervised Hierarchical Dynamic Parsing and Encoding for Action Recognition. IEEE Trans. Image Process. 26(12): 5784-5799 (2017) - [c7]Bing Su, Gang Hua:
Order-Preserving Wasserstein Distance for Sequence Matching. CVPR 2017: 2906-2914 - 2016
- [c6]Bing Su, Jiahuan Zhou, Xiaoqing Ding, Hao Wang, Ying Wu:
Hierarchical Dynamic Parsing and Encoding for Action Recognition. ECCV (4) 2016: 202-217 - 2015
- [c5]Bing Su, Xiaoqing Ding, Changsong Liu, Ying Wu:
Heteroscedastic max-min distance analysis. CVPR 2015: 4539-4547 - 2013
- [c4]Bing Su, Xiaoqing Ding:
Linear Sequence Discriminant Analysis: A Model-Based Dimensionality Reduction Method for Vector Sequences. ICCV 2013: 889-896 - [c3]Bing Su, Xiaoqing Ding, Liangrui Peng, Changsong Liu:
Cross-Language Sensitive Words Distribution Map: A Novel Recognition-Based Document Understanding Method for Uighur and Tibetan. ICDAR 2013: 255-259 - [c2]Bing Su, Xiaoqing Ding, Liangrui Peng, Changsong Liu:
A Novel Baseline-independent Feature Set for Arabic Handwriting Recognition. ICDAR 2013: 1250-1254 - 2011
- [c1]Bing Su, Liangrui Peng, Xiaoqing Ding:
SemiBoost-based Arabic character recognition method. DRR 2011: 787409
Coauthor Index
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