Hao Yuan
11 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (29) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
ποΈ
Keyword Collector
(58)
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Trend Setter
π
Century Club Β· Bronze
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Conference Pioneer
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(7)
Deep Learning
(7)
Learning Types
(7)
Architectures
(6)
Core AI
(6)
Mathematics & Optimization
(3)
Core Methods
(3)
Optimization
(3)
Knowledge & Reasoning
(2)
Representation
(2)
Techniques
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Learning Paradigms
(1)
Keywords
graph neural network
(3)
self-supervised learning
(2)
entity alignment
(2)
model interpretability
(2)
reinforcement learning
(2)
branch and bound
(2)
mixed integer programming
(2)
knowledge graph
(2)
transfer learning
(1)
attention mechanism
(1)
imitation learning
(1)
graph matching
(1)
graph representation learning
(1)
graph generation
(1)
natural language processing
(1)
few-shot learning
(1)
feature attribution
(1)
neural network interpretability
(1)
graph representation
(1)
structured prediction
(1)
Papers
HDR-VLM: HDR-Domain Adaptation of VLMs and Preference-Aligned Quality Assessment for HDR Video Color Grading
CVPR 2026
BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP
ICLR 2025
ReactGPT: Understanding of Chemical Reactions via In-Context Tuning
AAAI 2025
Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach
ICLR 2024
An Effective and Efficient Entity Alignment Decoding Algorithm via Third-Order Tensor Isomorphism
ACL 2022
A Simple Temporal Information Matching Mechanism for Entity Alignment between Temporal Knowledge Graphs
COLING 2022
DIG: A Turnkey Library for Diving into Graph Deep Learning Research
JMLR 2021
On Explainability of Graph Neural Networks via Subgraph Explorations
ICML 2021
Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents
NAACL 2021
StructPool: Structured Graph Pooling via Conditional Random Fields
ICLR 2020
Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods
AAAI 2019