SemiBoost-based Arabic character recognition method. - Bing Su 001; Liangrui Peng; Xiaoqing Ding (DRR, 2011)

Linear Sequence Discriminant Analysis: A Model-Based Dimensionality Reduction Method for Vector Sequences. - Bing Su 001; Xiaoqing Ding (ICCV, 2013)

Cross-Language Sensitive Words Distribution Map: A Novel Recognition-Based Document Understanding Method for Uighur and Tibetan. - Bing Su 001; Xiaoqing Ding; Liangrui Peng; Changsong Liu (ICDAR, 2013)

A Novel Baseline-independent Feature Set for Arabic Handwriting Recognition. - Bing Su 001; Xiaoqing Ding; Liangrui Peng; Changsong Liu (ICDAR, 2013)

Heteroscedastic max-min distance analysis. - Bing Su 001; Xiaoqing Ding; Changsong Liu; Ying Wu 001 (CVPR, 2015)

Hierarchical Dynamic Parsing and Encoding for Action Recognition. - Bing Su 001; Jiahuan Zhou; Xiaoqing Ding; Hao Wang 005; Ying Wu 001 (ECCV (4), 2016)

Order-Preserving Wasserstein Distance for Sequence Matching. - Bing Su 001; Gang Hua 001 (CVPR, 2017)

Discriminative Transformation for Multi-Dimensional Temporal Sequences. - Bing Su 001; Xiaoqing Ding; Changsong Liu; Hao Wang 005; Ying Wu 001 (IEEE Trans. Image Process., 2017)

Unsupervised Hierarchical Dynamic Parsing and Encoding for Action Recognition. - Bing Su 001; Jiahuan Zhou; Xiaoqing Ding; Ying Wu 001 (IEEE Trans. Image Process., 2017)

Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints. - Jiahuan Zhou; Bing Su 001; Ying Wu 001 (CVPR, 2018)

Feature Fusion Network for Scene Text Detection. - Chenqin Cai; Pin Lv; Bing Su 001 (ICIP, 2018)

Spatiotemporal Pyramid Pooling in 3D Convolutional Neural Networks for Action Recognition. - Cheng Cheng; Pin Lv; Bing Su 001 (ICIP, 2018)

Learning Low-Dimensional Temporal Representations. - Bing Su 001; Ying Wu 001 (ICML, 2018)

Discriminative Dimensionality Reduction for Multi-Dimensional Sequences. - Bing Su 001; Xiaoqing Ding; Hao Wang 005; Ying Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Heteroscedastic Max-Min Distance Analysis for Dimensionality Reduction. - Bing Su 001; Xiaoqing Ding; Changsong Liu; Ying Wu 001 (IEEE Trans. Image Process., 2018)

Order-Preserving Wasserstein Discriminant Analysis. - Bing Su 001; Jiahuan Zhou; Ying Wu 001 (ICCV, 2019)

Learning Distance for Sequences by Learning a Ground Metric. - Bing Su 001; Ying Wu 001 (ICML, 2019)

Order-Preserving Optimal Transport for Distances between Sequences. - Bing Su 001; Gang Hua 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification. - Jiahuan Zhou; Bing Su 001; Ying Wu 001 (CVPR, 2020)

Learning Low-Dimensional Temporal Representations with Latent Alignments. - Bing Su 001; Ying Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Unsupervised Embedding Learning from Uncertainty Momentum Modeling. - Jiahuan Zhou; Yansong Tang; Bing Su 001; Ying Wu 001 (CoRR, 2021)

Log-Polar Space Convolution for Convolutional Neural Networks. - Bing Su 001; Ji-Rong Wen (CoRR, 2021)

Auxiliary task guided mean and covariance alignment network for adversarial domain adaptation. - Wenwen Qiang; Jiangmeng Li; Changwen Zheng; Bing Su 001 (Knowl. Based Syst., 2021)

Optimal Partial Transport Based Sentence Selection for Long-form Document Matching. - Weijie Yu 003; Liang Pang; Jun Xu 001; Bing Su 001; Zhenhua Dong; Ji-Rong Wen (COLING, 2022)

Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification. - Bing Su 001; Ji-Rong Wen (ICLR, 2022)

MetAug: Contrastive Learning via Meta Feature Augmentation. - Jiangmeng Li; Wenwen Qiang; Changwen Zheng; Bing Su 001; Hui Xiong 001 (ICML, 2022)

Interventional Contrastive Learning with Meta Semantic Regularizer. - Wenwen Qiang; Jiangmeng Li; Changwen Zheng; Bing Su 001; Hui Xiong 001 (ICML, 2022)

Log-Polar Space Convolution Layers. - Bing Su 001; Ji-Rong Wen (NeurIPS, 2022)

MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning. - Jiangmeng Li; Wenwen Qiang; Yanan Zhang; Wenyi Mo; Changwen Zheng; Bing Su 001; Hui Xiong 001 (NeurIPS, 2022)

SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders. - Gang Li; Heliang Zheng; Daqing Liu; Chaoyue Wang; Bing Su 001; Changwen Zheng (NeurIPS, 2022)

Supporting Vision-Language Model Inference with Causality-pruning Knowledge Prompt. - Jiangmeng Li; Wenyi Mo; Wenwen Qiang; Bing Su 001; Changwen Zheng (CoRR, 2022)

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language. - Bing Su 001; Dazhao Du; Zhao Yang 006; Yujie Zhou; Jiangmeng Li; Anyi Rao; Hao Sun 002; Zhiwu Lu 001; Ji-Rong Wen (CoRR, 2022)

Transductive distribution calibration for few-shot learning. - Gang Li; Changwen Zheng; Bing Su 001 (Neurocomputing, 2022)

RHMC: Modeling consistent information from deep multiple views via Regularized and Hybrid Multiview Coding. - Jiangmeng Li; Wenwen Qiang; Changwen Zheng; Bing Su 001 (Knowl. Based Syst., 2022)

Learning Meta-Distance for Sequences by Learning a Ground Metric via Virtual Sequence Regression. - Bing Su 001; Ying Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Linear and Deep Order-Preserving Wasserstein Discriminant Analysis. - Bing Su 001; Jiahuan Zhou; Ji-Rong Wen; Ying Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Self-Supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences. - Yujie Zhou; Haodong Duan; Anyi Rao; Bing Su 001; Jiaqi Wang 003 (AAAI, 2023)

Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution. - Jiahao Chen; Bing Su 001 (CVPR, 2023)

Modeling Video as Stochastic Processes for Fine-Grained Video Representation Learning. - Heng Zhang; Daqing Liu; Qi Zheng; Bing Su 001 (CVPR, 2023)

Task-Sensitive Discriminative Mutual Attention Network for Few-Shot Learning. - Baogui Xu; Chengjin Xu; Zhiwu Lu 001; Bing Su 001 (ECAI, 2023)

Preformer: Predictive Transformer with Multi-Scale Segment-Wise Correlations for Long-Term Time Series Forecasting. - Dazhao Du; Bing Su 001; Zhewei Wei (ICASSP, 2023)

Toward Auto-Evaluation With Confidence-Based Category Relation-Aware Regression. - Jiexin Wang; Jiahao Chen; Bing Su 001 (ICASSP, 2023)

Decaying Contrast for Fine-Grained Video Representation Learning. - Heng Zhang; Bing Su 001 (ICASSP, 2023)

Exploring Temporal Concurrency for Video-Language Representation Learning. - Heng Zhang; Daqing Liu; Zezhong Lv; Bing Su 001; Dacheng Tao (ICCV, 2023)

Temporal-enhanced Cross-modality Fusion Network for Video Sentence Grounding. - Zezhong Lv; Bing Su 001 (ICME, 2023)

Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization. - Zezhong Lv; Bing Su 001; Ji-Rong Wen (ACM Multimedia, 2023)

Spatio-Temporal Branching for Motion Prediction using Motion Increments. - Jiexin Wang; Yujie Zhou; Wenwen Qiang; Ying Ba; Bing Su 001; Ji-Rong Wen (ACM Multimedia, 2023)

Cross-Modal Graph Attention Network for Entity Alignment. - Baogui Xu; Chengjin Xu; Bing Su 001 (ACM Multimedia, 2023)

Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling. - Zhao Yang 006; Bing Su 001; Ji-Rong Wen (ACM Multimedia, 2023)

Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization. - Yujie Zhou; Wenwen Qiang; Anyi Rao; Ning Lin; Bing Su 001; Jiaqi Wang 003 (ACM Multimedia, 2023)

Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning. - Jiahao Chen; Yurou Liu; Jiangmeng Li; Bing Su 001; Jirong Wen (CoRR, 2023)

Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation. - Wenwen Qiang; Jiangmeng Li; Changwen Zheng; Bing Su 001; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

Discriminative Self-Paced Group-Metric Adaptation for Online Visual Identification. - Jiahuan Zhou; Bing Su 001; Ying Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning. - Wenwen Qiang; Jiangmeng Li; Bing Su 001; Jianlong Fu; Hui Xiong 001; Ji-Rong Wen (Int. J. Comput. Vis., 2023)

Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. - Jiangmeng Li; Wenwen Qiang; Changwen Zheng; Bing Su 001; Farid Razzak; Ji-Rong Wen; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

Dynamic Prompt Optimizing for Text-to-Image Generation. - Wenyi Mo; Tianyu Zhang; Yalong Bai; Bing Su 001; Ji-Rong Wen; Qing Yang 033 (CVPR, 2024)

Domain-Adaptive and Subgroup-Specific Cascaded Temperature Regression for Out-of-Distribution Calibration. - Jiexin Wang; Jiahao Chen; Bing Su 001 (ICASSP, 2024)

Position-Aware Active Learning for Multi-Modal Entity Alignment. - Baogui Xu; Yafei Lu; Bing Su 001; Xiaoran Yan (ICASSP, 2024)

Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training. - Jinxia Yang; Bing Su 001; Xin Zhao 018; Ji-Rong Wen (ICML, 2024)

Explicitly Modeling Universality into Self-Supervised Learning. - Jingyao Wang; Wenwen Qiang; Zeen Song; Lingyu Si; Jiangmeng Li; Changwen Zheng; Bing Su 001 (CoRR, 2024)

On the Causal Sufficiency and Necessity of Multi-Modal Representation Learning. - Jingyao Wang; Wenwen Qiang; Jiangmeng Li; Lingyu Si; Changwen Zheng; Bing Su 001 (CoRR, 2024)

Instance-Specific Semantic Augmentation for Long-Tailed Image Classification. - Jiahao Chen; Bing Su 001 (IEEE Trans. Image Process., 2024)

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction. - Jiexin Wang; Yiju Guo; Bing Su 001 (ICASSP, 2025)

Temporal Dynamics Decoupling with Inverse Processing for Enhancing Human Motion Prediction. - Jiexin Wang; Yiju Guo; Bing Su 001 (ICASSP, 2025)

Regulatory DNA Sequence Design with Reinforcement Learning. - Zhao Yang 006; Bing Su 001; Chuan Cao; Ji-Rong Wen (ICLR, 2025)

DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training. - Yurou Liu; Jiahao Chen; Rui Jiao; Jiangmeng Li; Wenbing Huang 001; Bing Su 001 (ICLR, 2025)

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing. - Wenyi Mo; Tianyu Zhang; Yalong Bai; Bing Su 001; Ji-Rong Wen (WACV, 2025)

Supporting vision-language model few-shot inference with confounder-pruned knowledge prompt. - Jiangmeng Li; Wenyi Mo; Fei Song; Chuxiong Sun; Wenwen Qiang; Bing Su 001; Changwen Zheng (Neural Networks, 2025)

Interpretable Enzyme Function Prediction via Residue-Level Detection. - Zhao Yang 006; Bing Su 001; Jiahao Chen; Ji-Rong Wen (CoRR, 2025)

Rethinking the Bias of Foundation Model under Long-tailed Distribution. - Jiahao Chen; Bin Qin 001; Jiangmeng Li; Hao Chen; Bing Su 001 (CoRR, 2025)

Large Language-Geometry Model: When LLM meets Equivariance. - Zongzhao Li; Jiacheng Cen; Bing Su 001; Wenbing Huang 001; Tingyang Xu; Yu Rong 001; Deli Zhao (CoRR, 2025)

Enhancing Human Motion Prediction via Multi-range Decoupling Decoding with Gating-adjusting Aggregation. - Jiexin Wang; Wenwen Qiang; Zhao Yang 006; Bing Su 001 (CoRR, 2025)

LumosFlow: Motion-Guided Long Video Generation. - Jiahao Chen; Hangjie Yuan; Yichen Qian; Jingyun Liang; Jiazheng Xing; Pengwei Liu; Weihua Chen; Fan Wang; Bing Su 001 (CoRR, 2025)

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment. - Ying Ba; Tianyu Zhang; Yalong Bai; Wenyi Mo; Tao Liang; Bing Su 001; Ji-Rong Wen (CoRR, 2025)

Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks. - Shuang Cui; Yi Li; Jiangmeng Li; Xiongxin Tang; Bing Su 001; Fanjiang Xu; Hui Xiong 001 (Int. J. Comput. Vis., 2025)