Bing Su
30 papers · 2013–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (11)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(55)
π
Keyword Champion
(4)
π
Triple Crown
π
Grand Slam
β‘
Prolific Year
(9)
π
Century Club
(30)
π
Conference Pioneer
ποΈ
Keyword Collector
(114)
Conferences
CVPR (8)
ICML (8)
ICCV (4)
ICLR (3)
NIPS (3)
AAAI (2)
COLING (1)
WACV (1)
Top co-authors
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