Bing Su

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 61

Top Topics

Sequence Matching

Discriminant Analysis

Spatial And Temporal Information

Action Recognition

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Jiexin Wang, Jiahao Chen, Bing Su
Domain-adaptive and Subgroup-specific Cascaded Temperature Regression for Out-of-distribution Calibration. CoRR (2024)
Jingyao Wang, Wenwen Qiang, Zeen Song, Lingyu Si, Jiangmeng Li, Changwen Zheng, Bing Su
Explicitly Modeling Universality into Self-Supervised Learning. CoRR (2024)
Jiahao Chen, Bing Su
Instance-Specific Semantic Augmentation for Long-Tailed Image Classification. IEEE Trans. Image Process. 33 (2024)
Jinxia Yang, Bing Su, Wayne Xin Zhao, Ji-Rong Wen
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training. CoRR (2024)
Jingyao Wang, Wenwen Qiang, Jiangmeng Li, Lingyu Si, Changwen Zheng, Bing Su
On the Causal Sufficiency and Necessity of Multi-Modal Representation Learning. CoRR (2024)
Baogui Xu, Yafei Lu, Bing Su, Xiaoran Yan
Position-Aware Active Learning for Multi-Modal Entity Alignment. ICASSP (2024)
Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen, Qing Yang
Dynamic Prompt Optimizing for Text-to-Image Generation. CoRR (2024)
Heng Zhang, Daqing Liu, Qi Zheng, Bing Su
Modeling Video as Stochastic Processes for Fine-Grained Video Representation Learning. CVPR (2023)
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) (2023)
Jiahao Chen, Yurou Liu, Jiangmeng Li, Bing Su, Jirong Wen
Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning. CoRR (2023)
Zezhong Lv, Bing Su, Ji-Rong Wen
Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization. ACM Multimedia (2023)
Zezhong Lv, Bing Su, Ji-Rong Wen
Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization. CoRR (2023)
Jiexin Wang, Yujie Zhou, Wenwen Qiang, Ying Ba, Bing Su, Ji-Rong Wen
Spatio-Temporal Branching for Motion Prediction using Motion Increments. CoRR (2023)
Yujie Zhou, Haodong Duan, Anyi Rao, Bing Su, Jiaqi Wang
Self-Supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences. AAAI (2023)
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) (2023)
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)
Baogui Xu, Chengjin Xu, Bing Su
Cross-Modal Graph Attention Network for Entity Alignment. ACM Multimedia (2023)
Zhao Yang, Bing Su, Ji-Rong Wen
Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling. ACM Multimedia (2023)
Zezhong Lv, Bing Su
Temporal-enhanced Cross-modality Fusion Network for Video Sentence Grounding. ICME (2023)
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 (2023)
Jiahuan Zhou, Bing Su, Ying Wu
Discriminative Self-Paced Group-Metric Adaptation for Online Visual Identification. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
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) (2023)
Dazhao Du, Bing Su, Zhewei Wei
Preformer: Predictive Transformer with Multi-Scale Segment-Wise Correlations for Long-Term Time Series Forecasting. ICASSP (2023)
Jiahao Chen, Bing Su
Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution. CVPR (2023)
Zhao Yang, Bing Su, Ji-Rong Wen
Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling. CoRR (2023)
Yujie Zhou, Haodong Duan, Anyi Rao, Bing Su, Jiaqi Wang
Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences. CoRR (2023)
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 (2022)
Gang Li, Changwen Zheng, Bing Su
Transductive distribution calibration for few-shot learning. Neurocomputing 500 (2022)
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 (2022)
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) (2022)
Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation. CoRR (2022)
Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong
MetAug: Contrastive Learning via Meta Feature Augmentation. ICML (2022)
Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong
Interventional Contrastive Learning with Meta Semantic Regularizer. CoRR (2022)
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 (2022)
Gang Li, Heliang Zheng, Daqing Liu, Chaoyue Wang, Bing Su, Changwen Zheng
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders. CoRR (2022)
Jiangmeng Li, Wenyi Mo, Wenwen Qiang, Bing Su, Changwen Zheng
Supporting Vision-Language Model Inference with Causality-pruning Knowledge Prompt. CoRR (2022)
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) (2022)
Bing Su, Ji-Rong Wen
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification. ICLR (2022)
Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong
Interventional Contrastive Learning with Meta Semantic Regularizer. ICML (2022)
Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong
MetAug: Contrastive Learning via Meta Feature Augmentation. CoRR (2022)
Bing Su, Ji-Rong Wen
Log-Polar Space Convolution Layers. NeurIPS (2022)
Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning. NeurIPS (2022)
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)
Jiangmeng Li, Wenwen Qiang, Hang Gao, Bing Su, Farid Razzak, Jie Hu, Changwen Zheng, Hui Xiong
Information Theory-Guided Heuristic Progressive Multi-View Coding. CoRR (2021)
Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su
Auxiliary task guided mean and covariance alignment network for adversarial domain adaptation. Knowl. Based Syst. 223 (2021)
Jiahuan Zhou, Yansong Tang, Bing Su, Ying Wu
Unsupervised Embedding Learning from Uncertainty Momentum Modeling. CoRR (2021)
Bing Su, Ying Wu
Learning Low-Dimensional Temporal Representations with Latent Alignments. IEEE Trans. Pattern Anal. Mach. Intell. 42 (11) (2020)
Jiahuan Zhou, Bing Su, Ying Wu
Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification. CVPR (2020)
Bing Su, Jiahuan Zhou, Ying Wu
Order-Preserving Wasserstein Discriminant Analysis. ICCV (2019)
Bing Su, Ying Wu
Learning Distance for Sequences by Learning a Ground Metric. ICML (2019)
Bing Su, Gang Hua
Order-Preserving Optimal Transport for Distances between Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 41 (12) (2019)
Bing Su, Xiaoqing Ding, Hao Wang, Ying Wu
Discriminative Dimensionality Reduction for Multi-Dimensional Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 40 (1) (2018)
Bing Su, Xiaoqing Ding, Changsong Liu, Ying Wu
Heteroscedastic Max-Min Distance Analysis for Dimensionality Reduction. IEEE Trans. Image Process. 27 (8) (2018)
Jiahuan Zhou, Bing Su, Ying Wu
Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints. CVPR (2018)
Bing Su, Ying Wu
Learning Low-Dimensional Temporal Representations. ICML (2018)
Cheng Cheng, Pin Lv, Bing Su
Spatiotemporal Pyramid Pooling in 3D Convolutional Neural Networks for Action Recognition. ICIP (2018)
Chenqin Cai, Pin Lv, Bing Su
Feature Fusion Network for Scene Text Detection. ICIP (2018)
Bing Su, Xiaoqing Ding, Changsong Liu, Hao Wang, Ying Wu
Discriminative Transformation for Multi-Dimensional Temporal Sequences. IEEE Trans. Image Process. 26 (7) (2017)
Bing Su, Gang Hua
Order-Preserving Wasserstein Distance for Sequence Matching. CVPR (2017)
Bing Su, Jiahuan Zhou, Xiaoqing Ding, Ying Wu
Unsupervised Hierarchical Dynamic Parsing and Encoding for Action Recognition. IEEE Trans. Image Process. 26 (12) (2017)
Bing Su, Jiahuan Zhou, Xiaoqing Ding, Hao Wang, Ying Wu
Hierarchical Dynamic Parsing and Encoding for Action Recognition. ECCV (4) (2016)
Bing Su, Xiaoqing Ding, Changsong Liu, Ying Wu
Heteroscedastic max-min distance analysis. CVPR (2015)
Bing Su, Xiaoqing Ding
Linear Sequence Discriminant Analysis: A Model-Based Dimensionality Reduction Method for Vector Sequences. ICCV (2013)
Bing Su, Xiaoqing Ding, Liangrui Peng, Changsong Liu
A Novel Baseline-independent Feature Set for Arabic Handwriting Recognition. ICDAR (2013)
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)
Bing Su, Liangrui Peng, Xiaoqing Ding
SemiBoost-based Arabic character recognition method. DRR (2011)