Hao Yan
14 papers · 2020–2026 · 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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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (40) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
π§
Keyword Pioneer
ποΈ
Keyword Collector
(79)
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(7)
Architectures
(4)
Core Methods
(4)
Artificial Intelligence
(3)
Computer Vision
(3)
Mathematics & Optimization
(3)
Application Areas
(3)
Core AI
(3)
Learning Types Β· Deep Learning
(3)
Mathematics
(3)
Natural Language Processing
(2)
Applications
(2)
Domain-Specific
(2)
Learning Types Β· Machine Learning
(2)
Keywords
graph neural network
(3)
text-attributed graph
(2)
low-rank matrix
(2)
domain generalization
(2)
interactive learning
(1)
autonomous driving
(1)
reinforcement learning
(1)
graph classification
(1)
semi-supervised learning
(1)
knowledge distillation
(1)
semantic parsing
(1)
document understanding
(1)
domain adaptation
(1)
trajectory prediction
(1)
visual reasoning
(1)
motion forecasting
(1)
unsupervised domain adaptation
(1)
eigenvalue estimation
(1)
graph regularization
(1)
variational inference
(1)
Papers
D-Convexity: A Unified Differentiable Convex Shape Prior via Quasi-Concavity for Data-driven Image Segmentation
CVPR 2026
DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding
CVPR 2026
A Relaxed Symmetric Non-negative Matrix Factorization Approach for Community Discovery (Extended Abstract)
IJCAI 2025
A Unified Framework for Heterogeneous Semi-supervised Learning
CVPR 2025
Improved dependence on coherence in eigenvector and eigenvalue estimation error bounds
AISTATS 2025
Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models
NeurIPS 2024
DS-NeRV: Implicit Neural Video Representation with Decomposed Static and Dynamic Codes
CVPR 2024
Local and Global Flatness for Federated Domain Generalization
ECCV 2024
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking
NeurIPS 2023
Learning on Large-scale Text-attributed Graphs via Variational Inference
ICLR 2023
Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing
ACL 2023
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks
NeurIPS 2023
WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction
AAAI 2023
Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction
AAAI 2020