Jiachen Yang
15 papers · 2017–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Pioneer
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Grand Slam
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Triple Crown
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Conference Pioneer
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Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(79)
Top co-authors
Research topics
Artificial Intelligence
(9)
Machine Learning
(7)
Deep Learning
(6)
Core AI
(6)
Reinforcement Learning
(5)
Learning Types Β· Machine Learning
(5)
Methods
(5)
Optimization & Theory
(5)
Computer Vision
(4)
Mathematics & Optimization
(3)
Learning Paradigms
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Optimization
(3)
Core Methods
(2)
Keywords
reinforcement learning
(2)
symbolic regression
(2)
evolutionary algorithm
(2)
multi-agent reinforcement learning
(2)
deep learning
(2)
generative model
(2)
inverse reinforcement learning
(2)
domain adaptation
(1)
interpretability
(1)
variational inference
(1)
curriculum learning
(1)
sequential decision making
(1)
hybrid algorithm
(1)
preference alignment
(1)
hierarchical planning
(1)
maximum entropy
(1)
neural network analysis
(1)
graph structure
(1)
community detection
(1)
policy gradient
(1)
Papers
Automatic Translational Correction of Multi-View Coronary Angiography Based on Auto-Annotation Data Generation
AAAI 2026
BeautyGRPO: Aesthetic Alignment for Face Retouching via Dynamic Path Guidance and Fine-Grained Preference Modeling
CVPR 2026
Agent S: An Open Agentic Framework that Uses Computers Like a Human
ICLR 2025
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces
AAAI 2025
Inner Information Analysis Algorithm for Deep Neural Network based on Community
ICLR 2025
Variance as a Catalyst: Efficient and Transferable Semantic Erasure Adversarial Attack for Customized Diffusion Models
ICML 2025
Generative Model Perception Rectification Algorithm for Trade-Off between Diversity and Quality
AAAI 2024
Reinforcement Learning for Adaptive Mesh Refinement
AISTATS 2023
A Unified Framework for Deep Symbolic Regression
NeurIPS 2022
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
ICLR 2020
GraphOpt: Learning Optimization Models of Graph Formation
ICML 2020
Learning to Incentivize Other Learning Agents
NeurIPS 2020
Single Episode Policy Transfer in Reinforcement Learning
ICLR 2020
Learning Deep Mean Field Games for Modeling Large Population Behavior
ICLR 2018
Fake News Mitigation via Point Process Based Intervention
ICML 2017