Li Jing
9 papers · 2017–2026 · 7 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🏆 Grand Slam
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Topic Evolution
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Architectures
(4)
Core Methods
(4)
Learning Types · Machine Learning
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Natural Language Processing
(2)
Application Areas
(2)
Applications
(2)
Core AI · Artificial Intelligence
(2)
Techniques
(2)
Analysis
(1)
Core AI · Computer Vision
(1)
Learning Types · Deep Learning
(1)
Keywords
representation learning
(3)
contrastive learning
(3)
self-supervised learning
(2)
image classification
(2)
information extraction
(1)
embedding learning
(1)
embedding space
(1)
redundancy reduction
(1)
relation extraction
(1)
document-level extraction
(1)
efficient computing
(1)
neural machine translation
(1)
text generation
(1)
language modeling
(1)
model architecture
(1)
document understanding
(1)
attention mechanism
(1)
model pruning
(1)
image generation
(1)
model compression
(1)
Papers
MMUIE: Massive Multi-Domain Universal Information Extraction for Long Documents
EACL 2026
Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks
COLING 2024
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations
ICLR 2022
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
ICLR 2022
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
ICML 2021
We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale
AAAI 2021
Implicit Rank-Minimizing Autoencoder
NeurIPS 2020
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications
EMNLP 2020
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs
ICML 2017