Shuang Yang
16 papers · 2013–2025 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (39) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
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Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(89)
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(10)
Core AI
(9)
Learning Types Β· Machine Learning
(9)
Optimization & Theory
(9)
Deep Learning
(7)
Core Methods
(5)
Computer Vision
(4)
Analysis
(4)
Mathematics & Optimization
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Optimization
(3)
Speech & Audio
(2)
Application Areas
(2)
Keywords
combinatorial optimization
(3)
black-box attack
(3)
query efficiency
(3)
multimodal learning
(3)
reinforcement learning
(3)
adversarial attack
(3)
multi-task learning
(2)
action recognition
(2)
graph neural network
(2)
lip reading
(2)
neural network
(2)
gradient estimation
(2)
gibbs sampling
(2)
boundary attack
(2)
scene reconstruction
(1)
face recognition
(1)
bayesian inference
(1)
cross-modal learning
(1)
representation learning
(1)
speech recognition
(1)
Papers
CogCM: Cognition-Inspired Contextual Modeling for Audio-Visual Speech Enhancement
ICCV 2025
Global-Guided Focal Neural Radiance Field for Large-Scale Scene Rendering
WACV 2025
Not Only Vision: Evolve Visual Speech Recognition via Peripheral Information
ICCV 2025
UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own Reasoning
ICML 2025
ES3: Evolving Self-Supervised Learning of Robust Audio-Visual Speech Representations
CVPR 2024
Unpaired Multi-domain Attribute Translation of 3D Facial Shapes with a Square and Symmetric Geometric Map
ICCV 2023
Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation
AISTATS 2022
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs
NeurIPS 2021
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks
AISTATS 2021
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation
ICML 2021
A Learning-based Iterative Method for Solving Vehicle Routing Problems
ICLR 2020
Bandit Samplers for Training Graph Neural Networks
NeurIPS 2020
Learning for Graph Matching and Related Combinatorial Optimization Problems
IJCAI 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack
CVPR 2020
Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition
CVPR 2015
Multi-task Sparse Learning with Beta Process Prior for Action Recognition
CVPR 2013