Yujia Li
24 papers · 2013–2025 · 10 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Conference Polyglot (9) π Academic Marathon (12) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Cross-Pollinator
(8)
πΊοΈ
Taxonomy Completionist
(38)
π
Conference Polyglot
(9)
π
Triple Crown
π
Grand Slam
π₯
Unstoppable
(7)
π
Century Club
(23)
π
Conference Pioneer
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(92)
Conferences
ICML (6)
NIPS (6)
ICLR (3)
IJCAI (2)
MICCAI (2)
AAAI (1)
CVPR (1)
MIDL (1)
NAACL (1)
WACV (1)
Top co-authors
Keywords
graph neural network
(6)
structured output
(2)
graph generation
(2)
image segmentation
(2)
representation learning
(2)
link prediction
(1)
computer vision
(1)
sequence generation
(1)
image restoration
(1)
transfer learning
(1)
reinforcement learning
(1)
visual perception
(1)
similarity learning
(1)
graph matching
(1)
attention mechanism
(1)
semi-supervised learning
(1)
medical imaging
(1)
graph representation learning
(1)
language modeling
(1)
embedding learning
(1)
Papers
Causal PETS: Causality-Informed PET Synthesis from Multi-modal Data
MIDL 2025
NeRF-based CBCT Reconstruction needs Normalization and Initialization
MICCAI 2025
Unsupervised Quality Control and Enhancement of Polyp Segmentation in Colonoscopy Videos using Spatiotemporal Consistency
MICCAI 2025
MS-Glance: Bio-Inspired Non-Semantic Context Vectors and their Applications in Supervising Image Reconstruction
WACV 2025
Large Language Models as Analogical Reasoners
ICLR 2024
Transformers Meet Directed Graphs
ICML 2023
TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning
IJCAI 2022
WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset
NAACL 2021
Computer-Aided Design as Language
NIPS 2021
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer
AAAI 2020
Scalable Deep Generative Modeling for Sparse Graphs
ICML 2020
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs
ICLR 2020
CompILE: Compositional Imitation Learning and Execution
ICML 2019
Deep reinforcement learning with relational inductive biases
ICLR 2019
Efficient Graph Generation with Graph Recurrent Attention Networks
NIPS 2019
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
ICML 2019
Learning Transferable Graph Exploration
NIPS 2019
Imagination-Augmented Agents for Deep Reinforcement Learning
NIPS 2017
Dualing GANs
NIPS 2017
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
NIPS 2016
Generative Moment Matching Networks
ICML 2015
High Order Regularization for Semi-Supervised Learning of Structured Output Problems
ICML 2014
Celebrity Recommendation with Collaborative Social Topic Regression
IJCAI 2013
Exploring Compositional High Order Pattern Potentials for Structured Output Learning
CVPR 2013