| 2025 | AAAI | A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes. | Qingmei Wang, Yuxin Wu, Yujie Long, Jing Huang, Fengyuan Ran, Bing Su, Hongteng Xu |
| 2025 | CVPR | STOP: Integrated Spatial-Temporal Dynamic Prompting for Video Understanding. | Zichen Liu, Kunlun Xu, Bing Su, Xu Zou, Yuxin Peng, Jiahuan Zhou |
| 2025 | ICASSP | Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction. | Jiexin Wang, Yiju Guo, Bing Su |
| 2025 | ICASSP | Temporal Dynamics Decoupling with Inverse Processing for Enhancing Human Motion Prediction. | Jiexin Wang, Yiju Guo, Bing Su |
| 2025 | ICCV | Enhancing Reward Models for High-Quality Image Generation: Beyond Text-Image Alignment. | Ying Ba, Tianyu Zhang, Yalong Bai, Wenyi Mo, Tao Liang, Bing Su, Ji-Rong Wen |
| 2025 | ICLR | Regulatory DNA Sequence Design with Reinforcement Learning. | Zhao Yang, Bing Su, Chuan Cao, Ji-Rong Wen |
| 2025 | ICLR | DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training. | Yurou Liu, Jiahao Chen, Rui Jiao, Jiangmeng Li, Wenbing Huang, Bing Su |
| 2025 | ICML | SPACE: Your Genomic Profile Predictor is a Powerful DNA Foundation Model. | Zhao Yang, Jiwei Zhu, Bing Su |
| 2025 | ICML | Rethinking the Bias of Foundation Model under Long-tailed Distribution. | Jiahao Chen, Bin Qin, Jiangmeng Li, Hao Chen, Bing Su |
| 2025 | ICML | Large Language-Geometry Model: When LLM meets Equivariance. | Zongzhao Li, Jiacheng Cen, Bing Su, Tingyang Xu, Yu Rong, Deli Zhao, Wenbing Huang |
| 2025 | KSEM | Federated Rank Learning with Dimensionality Reduction and Clustering for Electricity Load Forecasting. | Lei Li, Bing Su, Shichao Zhang, Yuchong Liu, Jianchao Zheng, Chuan Zhang, Liehuang Zhu |
| 2025 | WACV | Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing. | Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen |
| 2024 | COCOON | Improved Approximation Algorithms for Multiprocessor Indivisible Coflow Scheduling. | Mingyang Gong, Guohui Lin, Bing Su |
| 2024 | CVPR | Dynamic Prompt Optimizing for Text-to-Image Generation. | Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen, Qing Yang |
| 2024 | ICASSP | Domain-Adaptive and Subgroup-Specific Cascaded Temperature Regression for Out-of-Distribution Calibration. | Jiexin Wang, Jiahao Chen, Bing Su |
| 2024 | ICASSP | Position-Aware Active Learning for Multi-Modal Entity Alignment. | Baogui Xu, Yafei Lu, Bing Su, Xiaoran Yan |
| 2024 | ICML | Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training. | Jinxia Yang, Bing Su, Xin Zhao, Ji-Rong Wen |
| 2024 | TrustCom | Trusted and Spectrum-Efficient Crowd Computing in Massive MIMO Cellular Networks. | Pengfeng Zhang, Lei Li, Xin Liu, Rui Wang, Donglan Liu, Bing Su, Yuntao Wang, Yiliang Liu, Zhou Su |
| 2023 | AAAI | Self-Supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences. | Yujie Zhou, Haodong Duan, Anyi Rao, Bing Su, Jiaqi Wang |
| 2023 | CVPR | Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution. | Jiahao Chen, Bing Su |
| 2023 | CVPR | Modeling Video as Stochastic Processes for Fine-Grained Video Representation Learning. | Heng Zhang, Daqing Liu, Qi Zheng, Bing Su |
| 2023 | ECAI | Task-Sensitive Discriminative Mutual Attention Network for Few-Shot Learning. | Baogui Xu, Chengjin Xu, Zhiwu Lu, Bing Su |
| 2023 | ICASSP | Preformer: Predictive Transformer with Multi-Scale Segment-Wise Correlations for Long-Term Time Series Forecasting. | Dazhao Du, Bing Su, Zhewei Wei |
| 2023 | ICASSP | Toward Auto-Evaluation With Confidence-Based Category Relation-Aware Regression. | Jiexin Wang, Jiahao Chen, Bing Su |
| 2023 | ICASSP | Decaying Contrast for Fine-Grained Video Representation Learning. | Heng Zhang, Bing Su |
| 2023 | ICCV | Exploring Temporal Concurrency for Video-Language Representation Learning. | Heng Zhang, Daqing Liu, Zezhong Lv, Bing Su, Dacheng Tao |
| 2022 | COLING | Optimal Partial Transport Based Sentence Selection for Long-form Document Matching. | Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong, Ji-Rong Wen |
| 2022 | ICLR | Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification. | Bing Su, Ji-Rong Wen |
| 2022 | ICML | MetAug: Contrastive Learning via Meta Feature Augmentation. | Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong |
| 2022 | ICML | Interventional Contrastive Learning with Meta Semantic Regularizer. | Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong |
| 2022 | ICTAI | Convolutional Transformer with Similarity-based Boundary Prediction for Action Segmentation. | Dazhao Du, Bing Su, Yu Li, Zhongang Qi, Lingyu Si, Ying Shan |
| 2020 | CVPR | Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification. | Jiahuan Zhou, Bing Su, Ying Wu |
| 2019 | FAW | A Local Search 4/3-approximation Algorithm for the Minimum 3-path Partition Problem. | Yong Chen, Randy Goebel, Guohui Lin, Longcheng Liu, Bing Su, Weitian Tong, Yao Xu, An Zhang |
| 2019 | ICCV | Order-Preserving Wasserstein Discriminant Analysis. | Bing Su, Jiahuan Zhou, Ying Wu |
| 2019 | ICML | Learning Distance for Sequences by Learning a Ground Metric. | Bing Su, Ying Wu |
| 2019 | ISAAC | A 21/16-Approximation for the Minimum 3-Path Partition Problem. | Yong Chen, Randy Goebel, Bing Su, Weitian Tong, Yao Xu, An Zhang |
| 2018 | COCOON | An Approximation Framework for Bounded Facility Location Problems. | Wenchang Luo, Bing Su, Yao Xu, Guohui Lin |
| 2018 | CVPR | Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints. | Jiahuan Zhou, Bing Su, Ying Wu |
| 2018 | ICIP | Feature Fusion Network for Scene Text Detection. | Chenqin Cai, Pin Lv, Bing Su |
| 2018 | ICIP | Spatiotemporal Pyramid Pooling in 3D Convolutional Neural Networks for Action Recognition. | Cheng Cheng, Pin Lv, Bing Su |
| 2018 | ICML | Learning Low-Dimensional Temporal Representations. | Bing Su, Ying Wu |
| 2018 | KSEM | W-Shaped Selection for Light Field Super-Resolution. | Bing Su, Hao Sheng, Shuo Zhang, Da Yang, Nengcheng Chen, Wei Ke |
| 2017 | CVPR | Order-Preserving Wasserstein Distance for Sequence Matching. | Bing Su, Gang Hua |
| 2016 | ECCV | Hierarchical Dynamic Parsing and Encoding for Action Recognition. | Bing Su, Jiahuan Zhou, Xiaoqing Ding, Hao Wang, Ying Wu |
| 2015 | CVPR | Heteroscedastic max-min distance analysis. | Bing Su, Xiaoqing Ding, Changsong Liu, Ying Wu |
| 2015 | ICA3PP | Multitask Oriented GPU Resource Sharing and Virtualization in Cloud Environment. | Xingfang Zhao, Yujie Zhang, Bing Su |
| 2014 | AAIM | On the Exact Block Cover Problem. | Haitao Jiang, Bing Su, Mingyu Xiao, Yinfeng Xu, Farong Zhong, Binhai Zhu |
| 2013 | ICCV | Linear Sequence Discriminant Analysis: A Model-Based Dimensionality Reduction Method for Vector Sequences. | Bing Su, Xiaoqing Ding |
| 2013 | ICDAR | Cross-Language Sensitive Words Distribution Map: A Novel Recognition-Based Document Understanding Method for Uighur and Tibetan. | Bing Su, Xiaoqing Ding, Liangrui Peng, Changsong Liu |
| 2013 | ICDAR | A Novel Baseline-independent Feature Set for Arabic Handwriting Recognition. | Bing Su, Xiaoqing Ding, Liangrui Peng, Changsong Liu |
| 2013 | TAMC | Minimax Regret 1-Sink Location Problems in Dynamic Path Networks. | Siu-Wing Cheng, Yuya Higashikawa, Naoki Katoh, Guanqun Ni, Bing Su, Yinfeng Xu |
| 2010 | CLOUD | Comet: batched stream processing for data intensive distributed computing. | Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, Bing Su, Wei Lin, Lidong Zhou |
| 2009 | HotOS | Wave Computing in the Cloud. | Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, Wei Lin, Bing Su, Hongyi Wang, Lidong Zhou |
| 2008 | COCOA | A Risk-Reward Competitive Analysis for the Recoverable Canadian Traveller Problem. | Bing Su, Yinfeng Xu, Peng Xiao, Lei Tian |
| 2007 | COCOA | Finding the Anti-block Vital Edge of a Shortest Path Between Two Nodes. | Bing Su, Qingchuan Xu, Peng Xiao |
| 1995 | ISCAS | A Novel Closed Contour Extractor, Principle and Algorithm. | A. Nabout, Bing Su, Hassan A. Nour Eldin |