Jie Ji
9 papers · 2023–2025 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(15)
👑
Triple Crown
⚡
Prolific Year · Productive
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory · Machine Learning
(5)
Deep Learning
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Core AI
(2)
Core Methods
(2)
Techniques
(2)
Computer Science
(1)
Computer Vision
(1)
Architectures
(1)
Learning Paradigms
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Processing
(1)
Keywords
model compression
(3)
neural network
(2)
dynamic sparse training
(2)
representation learning
(1)
optimal transport
(1)
knowledge distillation
(1)
epistemic uncertainty
(1)
model unlearning
(1)
video super-resolution
(1)
sharpness-aware minimization
(1)
neural network optimization
(1)
loss landscape
(1)
neural information processing
(1)
network optimization
(1)
diffusion model
(1)
bilevel optimization
(1)
in-context learning
(1)
model generalization
(1)
sparse training
(1)
uncertainty quantification
(1)
Papers
Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing
ICCV 2025
Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization
ICCV 2025
To PRI or Not To PRI, That's the question
OSDI 2025
Advancing Dynamic Sparse Training by Exploring Optimization Opportunities
ICML 2024
A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training
NeurIPS 2024
Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design
ECCV 2024
NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization
ICLR 2024
Uncertainty Quantification for In-Context Learning of Large Language Models
NAACL 2024
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting
CVPR 2023