← Authors

Bing Su

30 papers · 2013–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (55) πŸ† Keyword Champion (4) πŸ‘‘ Triple Crown πŸ† Grand Slam ⚑ Prolific Year (9) πŸ’Ž Century Club (30) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (114)

Conferences

CVPR (8) ICML (8) ICCV (4) ICLR (3) NIPS (3) AAAI (2) COLING (1) WACV (1)

Top co-authors

Ji-Rong Wen (8) Ying Wu (6) Jiangmeng Li (5) Jiahuan Zhou (4) Wenyi Mo (4) Changwen Zheng (4) Tianyu Zhang (3) Wenwen Qiang (3) Hui Xiong (3) Yalong Bai (3)

Keywords

self-supervised learning (5) contrastive learning (5) sequence classification (4) metric learning (4) dimensionality reduction (4) representation learning (4) optimal transport (3) wasserstein distance (2) action recognition (2) stochastic process (2) dynamic time warping (2) discriminant analysis (2) person re-identification (2) linear discriminant analysis (2) diffusion model (2) online learning (1) image generation (1) temporal modeling (1) reinforcement learning (1) temporal reasoning (1)

Papers

Regulatory DNA Sequence Design with Reinforcement Learning ICLR 2025
DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training ICLR 2025
Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing WACV 2025
SPACE: Your Genomic Profile Predictor is a Powerful DNA Foundation Model ICML 2025
Large Language-Geometry Model: When LLM meets Equivariance ICML 2025
Rethinking the Bias of Foundation Model under Long-tailed Distribution ICML 2025
STOP: Integrated Spatial-Temporal Dynamic Prompting for Video Understanding CVPR 2025
Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment ICCV 2025
A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes AAAI 2025
Dynamic Prompt Optimizing for Text-to-Image Generation CVPR 2024
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training ICML 2024
Exploring Temporal Concurrency for Video-Language Representation Learning ICCV 2023
Modeling Video As Stochastic Processes for Fine-Grained Video Representation Learning CVPR 2023
Self-Supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences AAAI 2023
Transfer Knowledge From Head to Tail: Uncertainty Calibration Under Long-Tailed Distribution CVPR 2023
Log-Polar Space Convolution Layers NIPS 2022
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders NIPS 2022
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning NIPS 2022
Optimal Partial Transport Based Sentence Selection for Long-form Document Matching COLING 2022
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification ICLR 2022
MetAug: Contrastive Learning via Meta Feature Augmentation ICML 2022
Interventional Contrastive Learning with Meta Semantic Regularizer ICML 2022
Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification CVPR 2020
Learning Distance for Sequences by Learning a Ground Metric ICML 2019
Order-Preserving Wasserstein Discriminant Analysis ICCV 2019
Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints CVPR 2018
Learning Low-Dimensional Temporal Representations ICML 2018
Order-Preserving Wasserstein Distance for Sequence Matching CVPR 2017
Heteroscedastic Max-Min Distance Analysis CVPR 2015
Linear Sequence Discriminant Analysis: A Model-Based Dimensionality Reduction Method for Vector Sequences ICCV 2013