Bing Su - RankMe

107 papers A* 30A 6B 3Misc 7Journal 59Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Controlled LLM Training on Spectral Sphere. CoRR Tian Xie, Haoming Luo, Haoyu Tang, Yiwen Hu, Jason Klein Liu, Qingnan Ren, Yang Wang, Wayne Xin Zhao, Rui Yan, Bing Su, Chong Luo, Baining Guo
2026	J	`jnl`	D3LM: A Discrete DNA Diffusion Language Model for Bidirectional DNA Understanding and Generation. CoRR Zhao Yang, Hengchang Liu, Chuan Cao, Bing Su
2026	J	`jnl`	Diffusion LMs Can Approximate Optimal Infilling Lengths Implicitly. CoRR Hengchang Liu, Zhao Yang, Bing Su
2026	J	`jnl`	Extending Sequence Length is Not All You Need: Effective Integration of Multimodal Signals for Gene Expression Prediction. CoRR Zhao Yang, Yi Duan, Jiwei Zhu, Ying Ba, Chuan Cao, Bing Su
2026	J	`jnl`	Uniformity Preserving Transfer for Visual Prompt Tuning under Long-tailed Distribution. Int. J. Comput. Vis. Jiahao Chen, Hao Chen, Bin Qin, Jiangmeng Li, Jindong Wang, Bing Su
2025	J	`jnl`	Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks. CoRR Shuang Cui, Yi Li, Jiangmeng Li, Xiongxin Tang, Bing Su, Fanjiang Xu, Hui Xiong
2025	J	`jnl`	Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks. Int. J. Comput. Vis. Shuang Cui, Yi Li, Jiangmeng Li, Xiongxin Tang, Bing Su, Fanjiang Xu, Hui Xiong
2025	A*	`conf`	DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training. ICLR Yurou Liu, Jiahao Chen, Rui Jiao, Jiangmeng Li, Wenbing Huang, Bing Su
2025	A	`conf`	Enhancing Human Motion Prediction via Multi-range Decoupling Decoding with Gating-adjusting Aggregation. ICME Jiexin Wang, Wenwen Qiang, Zhao Yang, Bing Su
2025	J	`jnl`	Enhancing Human Motion Prediction via Multi-range Decoupling Decoding with Gating-adjusting Aggregation. CoRR Jiexin Wang, Wenwen Qiang, Zhao Yang, Bing Su
2025	J	`jnl`	Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment. CoRR Ying Ba, Tianyu Zhang, Yalong Bai, Wenyi Mo, Tao Liang, Bing Su, Ji-Rong Wen
2025	J	`jnl`	Interpretable Enzyme Function Prediction via Residue-Level Detection. CoRR Zhao Yang, Bing Su, Jiahao Chen, Ji-Rong Wen
2025	A*	`conf`	Large Language-Geometry Model: When LLM meets Equivariance. ICML Zongzhao Li, Jiacheng Cen, Bing Su, Tingyang Xu, Yu Rong, Deli Zhao, Wenbing Huang
2025	J	`jnl`	Large Language-Geometry Model: When LLM meets Equivariance. CoRR Zongzhao Li, Jiacheng Cen, Bing Su, Wenbing Huang, Tingyang Xu, Yu Rong, Deli Zhao
2025	J	`jnl`	LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios. CoRR Zhiyuan Huang, Jiahao Chen, Yurou Liu, Bing Su
2025	J	`jnl`	LumosFlow: Motion-Guided Long Video Generation. CoRR Jiahao Chen, Hangjie Yuan, Yichen Qian, Jingyun Liang, Jiazheng Xing, Pengwei Liu, Weihua Chen, Fan Wang, Bing Su
2025	A*	`conf`	Regulatory DNA Sequence Design with Reinforcement Learning. ICLR Zhao Yang, Bing Su, Chuan Cao, Ji-Rong Wen
2025	J	`jnl`	Regulatory DNA sequence Design with Reinforcement Learning. CoRR Zhao Yang, Bing Su, Chuan Cao, Ji-Rong Wen
2025	A*	`conf`	Rethinking the Bias of Foundation Model under Long-tailed Distribution. ICML Jiahao Chen, Bin Qin, Jiangmeng Li, Hao Chen, Bing Su
2025	J	`jnl`	Rethinking the Bias of Foundation Model under Long-tailed Distribution. CoRR Jiahao Chen, Bin Qin, Jiangmeng Li, Hao Chen, Bing Su
2025	A*	`conf`	SPACE: Your Genomic Profile Predictor is a Powerful DNA Foundation Model. ICML Zhao Yang, Jiwei Zhu, Bing Su
2025	J	`jnl`	SPACE: Your Genomic Profile Predictor is a Powerful DNA Foundation Model. CoRR Zhao Yang, Jiwei Zhu, Bing Su
2025	Misc	`conf`	Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction. ICASSP Jiexin Wang, Yiju Guo, Bing Su
2025	J	`jnl`	Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction. CoRR Jiexin Wang, Yiju Guo, Bing Su
2025	J	`jnl`	Supporting vision-language model few-shot inference with confounder-pruned knowledge prompt. Neural Networks Jiangmeng Li, Wenyi Mo, Fei Song, Chuxiong Sun, Wenwen Qiang, Bing Su, Changwen Zheng
2025	Misc	`conf`	Temporal Dynamics Decoupling with Inverse Processing for Enhancing Human Motion Prediction. ICASSP Jiexin Wang, Yiju Guo, Bing Su
2025	J	`jnl`	Temporal Dynamics Decoupling with Inverse Processing for Enhancing Human Motion Prediction. CoRR Jiexin Wang, Yiju Guo, Bing Su
2025	A	`conf`	Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing. WACV Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen
2024	Misc	`conf`	Domain-Adaptive and Subgroup-Specific Cascaded Temperature Regression for Out-of-Distribution Calibration. ICASSP Jiexin Wang, Jiahao Chen, Bing Su
2024	J	`jnl`	Domain-adaptive and Subgroup-specific Cascaded Temperature Regression for Out-of-distribution Calibration. CoRR Jiexin Wang, Jiahao Chen, Bing Su
2024	A*	`conf`	Dynamic Prompt Optimizing for Text-to-Image Generation. CVPR Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen, Qing Yang
2024	J	`jnl`	Dynamic Prompt Optimizing for Text-to-Image Generation. CoRR Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen, Qing Yang
2024	J	`jnl`	Explicitly Modeling Universality into Self-Supervised Learning. CoRR Jingyao Wang, Wenwen Qiang, Zeen Song, Lingyu Si, Jiangmeng Li, Changwen Zheng, Bing Su
2024	J	`jnl`	Instance-Specific Semantic Augmentation for Long-Tailed Image Classification. IEEE Trans. Image Process. Jiahao Chen, Bing Su
2024	J	`jnl`	On the Causal Sufficiency and Necessity of Multi-Modal Representation Learning. CoRR Jingyao Wang, Wenwen Qiang, Jiangmeng Li, Lingyu Si, Changwen Zheng, Bing Su
2024	Misc	`conf`	Position-Aware Active Learning for Multi-Modal Entity Alignment. ICASSP Baogui Xu, Yafei Lu, Bing Su, Xiaoran Yan
2024	J	`jnl`	Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing. CoRR Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen
2024	A*	`conf`	Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training. ICML Jinxia Yang, Bing Su, Xin Zhao, Ji-Rong Wen
2024	J	`jnl`	Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training. CoRR Jinxia Yang, Bing Su, Wayne Xin Zhao, Ji-Rong Wen
2023	J	`jnl`	Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning. CoRR Jiahao Chen, Yurou Liu, Jiangmeng Li, Bing Su, Jirong Wen
2023	A*	`conf`	Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization. ACM Multimedia Zezhong Lv, Bing Su, Ji-Rong Wen
2023	J	`jnl`	Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization. CoRR Zezhong Lv, Bing Su, Ji-Rong Wen
2023	A*	`conf`	Cross-Modal Graph Attention Network for Entity Alignment. ACM Multimedia Baogui Xu, Chengjin Xu, Bing Su
2023	Misc	`conf`	Decaying Contrast for Fine-Grained Video Representation Learning. ICASSP Heng Zhang, Bing Su
2023	J	`jnl`	Discriminative Self-Paced Group-Metric Adaptation for Online Visual Identification. IEEE Trans. Pattern Anal. Mach. Intell. Jiahuan Zhou, Bing Su, Ying Wu
2023	A*	`conf`	Exploring Temporal Concurrency for Video-Language Representation Learning. ICCV Heng Zhang, Daqing Liu, Zezhong Lv, Bing Su, Dacheng Tao
2023	J	`jnl`	Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning. Int. J. Comput. Vis. Wenwen Qiang, Jiangmeng Li, Bing Su, Jianlong Fu, Hui Xiong, Ji-Rong Wen
2023	J	`jnl`	Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. IEEE Trans. Knowl. Data Eng. Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Farid Razzak, Ji-Rong Wen, Hui Xiong
2023	A*	`conf`	Modeling Video as Stochastic Processes for Fine-Grained Video Representation Learning. CVPR Heng Zhang, Daqing Liu, Qi Zheng, Bing Su
2023	Misc	`conf`	Preformer: Predictive Transformer with Multi-Scale Segment-Wise Correlations for Long-Term Time Series Forecasting. ICASSP Dazhao Du, Bing Su, Zhewei Wei
2023	J	`jnl`	Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation. IEEE Trans. Knowl. Data Eng. Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong
2023	A*	`conf`	Self-Supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences. AAAI Yujie Zhou, Haodong Duan, Anyi Rao, Bing Su, Jiaqi Wang
2023	J	`jnl`	Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences. CoRR Yujie Zhou, Haodong Duan, Anyi Rao, Bing Su, Jiaqi Wang
2023	A*	`conf`	Spatio-Temporal Branching for Motion Prediction using Motion Increments. ACM Multimedia Jiexin Wang, Yujie Zhou, Wenwen Qiang, Ying Ba, Bing Su, Ji-Rong Wen
2023	A*	`conf`	Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling. ACM Multimedia Zhao Yang, Bing Su, Ji-Rong Wen
2023	J	`jnl`	Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling. CoRR Zhao Yang, Bing Su, Ji-Rong Wen
2023	A	`conf`	Task-Sensitive Discriminative Mutual Attention Network for Few-Shot Learning. ECAI Baogui Xu, Chengjin Xu, Zhiwu Lu, Bing Su
2023	A	`conf`	Temporal-enhanced Cross-modality Fusion Network for Video Sentence Grounding. ICME Zezhong Lv, Bing Su
2023	Misc	`conf`	Toward Auto-Evaluation With Confidence-Based Category Relation-Aware Regression. ICASSP Jiexin Wang, Jiahao Chen, Bing Su
2023	J	`jnl`	Toward Auto-evaluation with Confidence-based Category Relation-aware Regression. CoRR Jiexin Wang, Jiahao Chen, Bing Su
2023	A*	`conf`	Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution. CVPR Jiahao Chen, Bing Su
2023	J	`jnl`	Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution. CoRR Jiahao Chen, Bing Su
2023	A*	`conf`	Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization. ACM Multimedia Yujie Zhou, Wenwen Qiang, Anyi Rao, Ning Lin, Bing Su, Jiaqi Wang
2023	J	`jnl`	Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization. CoRR Yujie Zhou, Wenwen Qiang, Anyi Rao, Ning Lin, Bing Su, Jiaqi Wang
2022	J	`jnl`	A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language. CoRR Bing Su, Dazhao Du, Zhao Yang, Yujie Zhou, Jiangmeng Li, Anyi Rao, Hao Sun, Zhiwu Lu, Ji-Rong Wen
2022	A*	`conf`	Interventional Contrastive Learning with Meta Semantic Regularizer. ICML Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong
2022	J	`jnl`	Interventional Contrastive Learning with Meta Semantic Regularizer. CoRR Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong
2022	J	`jnl`	Learning Meta-Distance for Sequences by Learning a Ground Metric via Virtual Sequence Regression. IEEE Trans. Pattern Anal. Mach. Intell. Bing Su, Ying Wu
2022	J	`jnl`	Linear and Deep Order-Preserving Wasserstein Discriminant Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Bing Su, Jiahuan Zhou, Ji-Rong Wen, Ying Wu
2022	A*	`conf`	Log-Polar Space Convolution Layers. NeurIPS Bing Su, Ji-Rong Wen
2022	A*	`conf`	MetAug: Contrastive Learning via Meta Feature Augmentation. ICML Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong
2022	J	`jnl`	MetAug: Contrastive Learning via Meta Feature Augmentation. CoRR Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong
2022	A*	`conf`	MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning. NeurIPS Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong
2022	J	`jnl`	MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning. CoRR Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong
2022	J	`jnl`	Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. CoRR Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Farid Razzak, Ji-Rong Wen, Hui Xiong
2022	B	`conf`	Optimal Partial Transport Based Sentence Selection for Long-form Document Matching. COLING Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong, Ji-Rong Wen
2022	J	`jnl`	Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting. CoRR Dazhao Du, Bing Su, Zhewei Wei
2022	J	`jnl`	RHMC: Modeling consistent information from deep multiple views via Regularized and Hybrid Multiview Coding. Knowl. Based Syst. Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su
2022	J	`jnl`	Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation. CoRR Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong
2022	A*	`conf`	SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders. NeurIPS Gang Li, Heliang Zheng, Daqing Liu, Chaoyue Wang, Bing Su, Changwen Zheng
2022	J	`jnl`	SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders. CoRR Gang Li, Heliang Zheng, Daqing Liu, Chaoyue Wang, Bing Su, Changwen Zheng
2022	J	`jnl`	Supporting Vision-Language Model Inference with Causality-pruning Knowledge Prompt. CoRR Jiangmeng Li, Wenyi Mo, Wenwen Qiang, Bing Su, Changwen Zheng
2022	A*	`conf`	Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification. ICLR Bing Su, Ji-Rong Wen
2022	J	`jnl`	Transductive distribution calibration for few-shot learning. Neurocomputing Gang Li, Changwen Zheng, Bing Su
2021	J	`jnl`	Auxiliary task guided mean and covariance alignment network for adversarial domain adaptation. Knowl. Based Syst. Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su
2021	J	`jnl`	Log-Polar Space Convolution for Convolutional Neural Networks. CoRR Bing Su, Ji-Rong Wen
2021	J	`jnl`	Unsupervised Embedding Learning from Uncertainty Momentum Modeling. CoRR Jiahuan Zhou, Yansong Tang, Bing Su, Ying Wu
2020	J	`jnl`	Learning Low-Dimensional Temporal Representations with Latent Alignments. IEEE Trans. Pattern Anal. Mach. Intell. Bing Su, Ying Wu
2020	A*	`conf`	Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification. CVPR Jiahuan Zhou, Bing Su, Ying Wu
2019	A*	`conf`	Learning Distance for Sequences by Learning a Ground Metric. ICML Bing Su, Ying Wu
2019	J	`jnl`	Order-Preserving Optimal Transport for Distances between Sequences. IEEE Trans. Pattern Anal. Mach. Intell. Bing Su, Gang Hua
2019	A*	`conf`	Order-Preserving Wasserstein Discriminant Analysis. ICCV Bing Su, Jiahuan Zhou, Ying Wu
2018	J	`jnl`	Discriminative Dimensionality Reduction for Multi-Dimensional Sequences. IEEE Trans. Pattern Anal. Mach. Intell. Bing Su, Xiaoqing Ding, Hao Wang, Ying Wu
2018	A*	`conf`	Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints. CVPR Jiahuan Zhou, Bing Su, Ying Wu
2018	B	`conf`	Feature Fusion Network for Scene Text Detection. ICIP Chenqin Cai, Pin Lv, Bing Su
2018	J	`jnl`	Heteroscedastic Max-Min Distance Analysis for Dimensionality Reduction. IEEE Trans. Image Process. Bing Su, Xiaoqing Ding, Changsong Liu, Ying Wu
2018	A*	`conf`	Learning Low-Dimensional Temporal Representations. ICML Bing Su, Ying Wu
2018	B	`conf`	Spatiotemporal Pyramid Pooling in 3D Convolutional Neural Networks for Action Recognition. ICIP Cheng Cheng, Pin Lv, Bing Su
2017	J	`jnl`	Discriminative Transformation for Multi-Dimensional Temporal Sequences. IEEE Trans. Image Process. Bing Su, Xiaoqing Ding, Changsong Liu, Hao Wang, Ying Wu
2017	A*	`conf`	Order-Preserving Wasserstein Distance for Sequence Matching. CVPR Bing Su, Gang Hua
2017	J	`jnl`	Unsupervised Hierarchical Dynamic Parsing and Encoding for Action Recognition. IEEE Trans. Image Process. Bing Su, Jiahuan Zhou, Xiaoqing Ding, Ying Wu
2016	—	`conf`	Hierarchical Dynamic Parsing and Encoding for Action Recognition. ECCV (4) Bing Su, Jiahuan Zhou, Xiaoqing Ding, Hao Wang, Ying Wu
2015	A*	`conf`	Heteroscedastic max-min distance analysis. CVPR Bing Su, Xiaoqing Ding, Changsong Liu, Ying Wu
2013	A	`conf`	A Novel Baseline-independent Feature Set for Arabic Handwriting Recognition. ICDAR Bing Su, Xiaoqing Ding, Liangrui Peng, Changsong Liu
2013	A	`conf`	Cross-Language Sensitive Words Distribution Map: A Novel Recognition-Based Document Understanding Method for Uighur and Tibetan. ICDAR Bing Su, Xiaoqing Ding, Liangrui Peng, Changsong Liu
2013	A*	`conf`	Linear Sequence Discriminant Analysis: A Model-Based Dimensionality Reduction Method for Vector Sequences. ICCV Bing Su, Xiaoqing Ding
2011	—	`conf`	SemiBoost-based Arabic character recognition method. DRR Bing Su, Liangrui Peng, Xiaoqing Ding