Li Jing

9 papers · 2017–2026 · 7 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (6) 🏃 Academic Marathon (7) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (19) 🧭 Keyword Pioneer 🏆 Grand Slam

Conferences

ICLR (2) ICML (2) AAAI (1) COLING (1) EACL (1) EMNLP (1) NIPS (1)

Top co-authors

Rumen Dangovski (4) Marin Soljacic (4) Yann LeCun (4) Preslav Nakov (3) Yichen Shen (2) Jure Zbontar (2) Yuandong Tian (1) Desislava Tsvetkova (1) Max Tegmark (1) Charlotte Loh (1)

Keywords

model compression (1) representation learning (1) image classification (1) contrastive learning (1) image generation (1) embedding learning (1) self-supervised learning (1) attention mechanism (1) relation extraction (1) document-level extraction (1) information extraction (1) neural machine translation (1) text generation (1) language modeling (1) document understanding (1) model architecture (1) efficient computing (1) model pruning (1) redundancy reduction (1) rank minimization (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

We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale AAAI 2021

Barlow Twins: Self-Supervised Learning via Redundancy Reduction ICML 2021

Implicit Rank-Minimizing Autoencoder NIPS 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