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Yujia Li

23 papers · 2013–2025 · 9 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (10) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8) πŸ—ΊοΈ Taxonomy Completionist (38) 🌍 Conference Polyglot (9) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (23) πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (92)

Conferences

ICML (6) NIPS (6) ICLR (3) IJCAI (2) MICCAI (2) AAAI (1) CVPR (1) NAACL (1) WACV (1)

Top co-authors

Oriol Vinyals (5) Richard Zemel (4) Pushmeet Kohli (4) Peter Battaglia (3) Hanjun Dai (3) Razvan Pascanu (2) David Reichert (2) S. Kevin Zhou (2) Vinicius Zambaldi (2) Raquel Urtasun (2)

Keywords

graph neural network (6) image segmentation (2) graph generation (2) representation learning (2) structured output (2) metric learning (1) visual perception (1) link prediction (1) computer vision (1) image reconstruction (1) image restoration (1) similarity learning (1) graph matching (1) embedding learning (1) graph representation learning (1) transfer learning (1) attention mechanism (1) language modeling (1) medical imaging (1) semi-supervised learning (1)

Papers

MS-Glance: Bio-Inspired Non-Semantic Context Vectors and their Applications in Supervising Image Reconstruction WACV 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
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
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs ICLR 2020
Scalable Deep Generative Modeling for Sparse Graphs ICML 2020
Learning Transferable Graph Exploration NIPS 2019
Deep reinforcement learning with relational inductive biases ICLR 2019
Efficient Graph Generation with Graph Recurrent Attention Networks NIPS 2019
CompILE: Compositional Imitation Learning and Execution ICML 2019
Graph Matching Networks for Learning the Similarity of Graph Structured Objects ICML 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