Shan Yu
14 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (41) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint
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Mega-Team Β· Squad
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Renaissance Researcher
(6)
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Research topics
Machine Learning
(11)
Deep Learning
(10)
Artificial Intelligence
(9)
Core AI
(8)
Core Methods
(7)
Models
(6)
Computer Vision
(4)
Learning Types Β· Machine Learning
(4)
Computer Science
(3)
Analysis
(3)
Application Areas
(3)
Learning Types Β· Deep Learning
(3)
Systems
(3)
Interdisciplinary
(2)
Reinforcement Learning
(2)
Keywords
reinforcement learning
(2)
policy learning
(2)
latent space
(2)
neural decoding
(1)
catastrophic forgetting
(1)
multi-task learning
(1)
domain generalization
(1)
probabilistic modeling
(1)
distributed computing
(1)
computer vision
(1)
visual cortex
(1)
self-supervised learning
(1)
autoregressive generation
(1)
multimodal learning
(1)
point cloud
(1)
image generation
(1)
class-incremental learning
(1)
feature disentanglement
(1)
3d reconstruction
(1)
deep reinforcement learning
(1)
Papers
Energy-based Autoregressive Generation for Neural Population Dynamics
AAAI 2026
Multi-dimensional Neural Decoding with Orthogonal Representations for Brain-Computer Interfaces
AAAI 2026
Prism: Cost-Efficient Multi-LLM Serving via GPU Memory Ballooning
OSDI 2026
Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder
AAAI 2025
Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis
AAAI 2025
Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment
ICML 2025
Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding
AAAI 2024
DRust: Language-Guided Distributed Shared Memory with Fine Granularity, Full Transparency, and Ultra Efficiency
OSDI 2024
Learning from Pattern Completion: Self-supervised Controllable Generation
NeurIPS 2024
Nonparametric Regression for 3D Point Cloud Learning
JMLR 2024
Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos
NeurIPS 2024
BigDL 2.0: Seamless Scaling of AI Pipelines From Laptops to Distributed Cluster
CVPR 2022
DeepCollaboration: Collaborative Generative and Discriminative Models for Class Incremental Learning
AAAI 2021
Progressive Relation Learning for Group Activity Recognition
CVPR 2020