Su, Bing

29 publications

AAAI 2025 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

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, Bing Su

ICCV 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, Ji-Rong Wen

ICLRW 2025 Interpretable Enzyme Function Prediction via Residue-Level Detection Zhao Yang, Bing Su, Jiahao Chen, Ji-Rong Wen

ICML 2025 Large Language-Geometry Model: When LLM Meets Equivariance Zongzhao Li, Jiacheng Cen, Bing Su, Tingyang Xu, Yu Rong, Deli Zhao, Wenbing Huang

ICLR 2025 Regulatory DNA Sequence Design with Reinforcement Learning Zhao Yang, Bing Su, Chuan Cao, Ji-Rong Wen

ICML 2025 Rethinking the Bias of Foundation Model Under Long-Tailed Distribution Jiahao Chen, Bin Qin, Jiangmeng Li, Hao Chen, Bing Su

ICML 2025 SPACE: Your Genomic Profile Predictor Is a Powerful DNA Foundation Model Zhao Yang, Jiwei Zhu, Bing Su

ICLRW 2025 SPACE: Your Genomic Profile Predictor Is a Powerful DNA Foundation Model Jiwei Zhu, Zhao Yang, Bing Su

CVPR 2025 STOP: Integrated Spatial-Temporal Dynamic Prompting for Video Understanding Zichen Liu, Kunlun Xu, Bing Su, Xu Zou, Yuxin Peng, Jiahuan Zhou

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

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

ICML 2024 Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-Training Jinxia Yang, Bing Su, Xin Zhao, Ji-Rong Wen

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

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

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

CVPR 2023 Transfer Knowledge from Head to Tail: Uncertainty Calibration Under Long-Tailed Distribution Jiahao Chen, Bing Su

ICML 2022 Interventional Contrastive Learning with Meta Semantic Regularizer Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong

NeurIPS 2022 Log-Polar Space Convolution Layers Bing Su, Ji-Rong Wen

ICML 2022 MetAug: Contrastive Learning via Meta Feature Augmentation Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong

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

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

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

ICML 2019 Learning Distance for Sequences by Learning a Ground Metric Bing Su, Ying Wu

ICML 2018 Learning Low-Dimensional Temporal Representations Bing Su, Ying Wu

CVPR 2017 Order-Preserving Wasserstein Distance for Sequence Matching Bing Su, Gang Hua

ECCV 2016 Hierarchical Dynamic Parsing and Encoding for Action Recognition Bing Su, Jiahuan Zhou, Xiaoqing Ding, Hao Wang, Ying Wu

CVPR 2015 Heteroscedastic Max-Min Distance Analysis Bing Su, Xiaoqing Ding, Changsong Liu, Ying Wu

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