Yuhang Song
19 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (7)
π
Cross-Pollinator
(7)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(33)
π
Keyword Champion
(2)
π€
Dynamic Duo
(13)
π
Grand Slam
ποΈ
Keyword Collector
(63)
π₯
Unstoppable
(7)
π
Century Club
(18)
π
Conference Pioneer
β
The Questioner
(2)
β‘
Prolific Year
(5)
Conferences
AAAI (5)
NIPS (4)
ICLR (3)
ECCV (2)
ACL (1)
ACML (1)
CVPR (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
predictive coding
(6)
deep reinforcement learning
(3)
associative memory
(3)
neural network
(3)
hopfield network
(2)
hierarchical generative model
(2)
biologically plausible learning
(2)
neuroscience-inspired learning
(2)
reinforcement learning
(2)
local learning
(1)
shadow detection
(1)
object removal
(1)
hierarchical reinforcement learning
(1)
game playing
(1)
image restoration
(1)
multi-agent reinforcement learning
(1)
autonomous driving
(1)
preference optimization
(1)
biologically plausible
(1)
neural network dynamics
(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
Learning to Terminate in Object Navigation
ACML 2023
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning
ICLR 2023
A Theoretical Framework for Inference and Learning in Predictive Coding Networks
ICLR 2023
Predictive Coding beyond Gaussian Distributions
NIPS 2022
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?
IJCAI 2022
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models
ICML 2022
Learning on Arbitrary Graph Topologies via Predictive Coding
NIPS 2022
Reverse Differentiation via Predictive Coding
AAAI 2022
Associative Memories via Predictive Coding
NIPS 2021
LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution
CVPR 2021
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards
AAAI 2020
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
NIPS 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