Shan Yu
13 papers · 2020–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Cross-Pollinator (13)
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Academic Marathon
(5)
πΊοΈ
Taxonomy Completionist
(40)
π
Cross-Pollinator
(13)
π₯
Mega-Team
(26)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(88)
π
Century Club
(11)
Conferences
AAAI (6)
CVPR (2)
NIPS (2)
ICML (1)
JMLR (1)
OSDI (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(2)
latent space
(2)
policy learning
(2)
neural decoding
(1)
catastrophic forgetting
(1)
multi-task learning
(1)
computer vision
(1)
domain generalization
(1)
domain randomization
(1)
visual cortex
(1)
self-supervised learning
(1)
autoregressive generation
(1)
point cloud
(1)
multi-modal learning
(1)
feature disentanglement
(1)
image generation
(1)
distributed computing
(1)
brain-computer interface
(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
Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder
AAAI 2025
Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment
ICML 2025
Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis
AAAI 2025
Learning from Pattern Completion: Self-supervised Controllable Generation
NIPS 2024
Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos
NIPS 2024
Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding
AAAI 2024
Nonparametric Regression for 3D Point Cloud Learning
JMLR 2024
DRust: Language-Guided Distributed Shared Memory with Fine Granularity, Full Transparency, and Ultra Efficiency
OSDI 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