Yuhang Song
19 papers · 2018–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (41) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π€
Dynamic Duo
(13)
π
Grand Slam
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
π
Trend Setter
ποΈ
Keyword Collector
(81)
Top co-authors
Research topics
Deep Learning
(14)
Machine Learning
(11)
Artificial Intelligence
(10)
Core AI
(8)
Architectures
(7)
Optimization & Theory
(7)
Learning Types Β· Deep Learning
(6)
Reinforcement Learning
(5)
Methods
(5)
Learning Types Β· Machine Learning
(4)
Interdisciplinary
(3)
Cognitive Science
(3)
Computer Vision
(2)
Applications
(2)
Bayesian & Probabilistic
(2)
Keywords
predictive coding
(8)
neural network
(5)
deep reinforcement learning
(3)
associative memory
(3)
hierarchical generative model
(2)
biologically plausible learning
(2)
neuroscience-inspired learning
(2)
hopfield network
(2)
reinforcement learning
(2)
variational inference
(1)
autonomous driving
(1)
preference optimization
(1)
object removal
(1)
shadow detection
(1)
multi-task learning
(1)
multi-agent reinforcement learning
(1)
chain-of-thought reasoning
(1)
neural network dynamics
(1)
video generation
(1)
skill discovery
(1)
Papers
CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models
ACL 2026
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
ICLR 2024
A Theoretical Framework for Inference and Learning in Predictive Coding Networks
ICLR 2023
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning
ICLR 2023
Learning to Terminate in Object Navigation
ACML 2023
Learning on Arbitrary Graph Topologies via Predictive Coding
NeurIPS 2022
Predictive Coding beyond Gaussian Distributions
NeurIPS 2022
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?
IJCAI 2022
Reverse Differentiation via Predictive Coding
AAAI 2022
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models
ICML 2022
Associative Memories via Predictive Coding
NeurIPS 2021
LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution
CVPR 2021
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
AAAI 2020
AutoRemover: Automatic Object Removal for Autonomous Driving Videos
AAAI 2020
Can the Brain Do Backpropagation? --- Exact Implementation of Backpropagation in Predictive Coding Networks
NeurIPS 2020
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards
AAAI 2020
Multi-level Wavelet-based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video
ECCV 2020
Diversity-Driven Extensible Hierarchical Reinforcement Learning
AAAI 2019
Contextual-based Image Inpainting: Infer, Match, and Translate
ECCV 2018