Yinchuan Li
17 papers · 2022–2026 · 9 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (47) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Grand Slam
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
ποΈ
Keyword Collector
(93)
Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(12)
Deep Learning
(12)
Core AI
(9)
Application Areas
(6)
Reinforcement Learning
(5)
Architectures
(5)
Learning Types
(5)
Models
(5)
Learning Paradigms Β· Artificial Intelligence
(4)
Methods
(4)
Robotics
(3)
Capabilities
(3)
Core Methods
(3)
Learning Paradigms Β· Machine Learning
(3)
Keywords
federated learning
(4)
generative flow network
(3)
graph neural network
(3)
imitation learning
(2)
flow matching loss
(2)
reinforcement learning
(2)
gui agent
(2)
generative model
(2)
neural network
(2)
large language model
(2)
knowledge distillation
(2)
variational inference
(1)
probabilistic modeling
(1)
bayesian inference
(1)
active learning
(1)
vision transformer
(1)
keyword spotting
(1)
adversarial learning
(1)
unsupervised learning
(1)
model aggregation
(1)
Papers
Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation
AAAI 2026
Personalized Federated Learning with Bidirectional Communication Compression via One-Bit Random Sketching
AAAI 2026
3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds
ICLR 2025
Ergodic Generative Flows
ICML 2025
GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent
ACL 2025
Less is More: Empowering GUI Agent with Context-Aware Simplification
ICCV 2025
Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation
CVPR 2025
STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization
ICML 2025
A Theory of Non-acyclic Generative Flow Networks
AAAI 2024
CFlowNets: Continuous Control with Generative Flow Networks
ICLR 2023
DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks
ICLR 2023
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs
IJCAI 2023
Universal Domain Adaptation via Compressive Attention Matching
ICCV 2023
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again
NeurIPS 2022
Avoid Overfitting User Specific Information in Federated Keyword Spotting
Interspeech 2022
Federated Learning With Position-Aware Neurons
CVPR 2022
Personalized Federated Learning via Variational Bayesian Inference
ICML 2022