Lin Ning
5 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Deep Learning
(3)
Core AI
(3)
Optimization & Theory · Machine Learning
(3)
Natural Language Processing
(1)
Application Areas
(1)
Architectures
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
model compression
(2)
federated learning
(1)
deep reinforcement learning
(1)
reinforcement learning
(1)
multi-task learning
(1)
knowledge distillation
(1)
distribution shift
(1)
fault tolerance
(1)
convolutional neural network
(1)
parameter-efficient fine-tuning
(1)
low-rank adaptation
(1)
error correction code
(1)
downstream task
(1)
mixture of expert
(1)
multi-task adaptation
(1)
generalization gap
(1)
mixed-precision quantization
(1)
memory protection
(1)
error correction
(1)
large language model
(1)
Papers
MoDE: Effective Multi-task Parameter Efficient Fine-Tuning with a Mixture of Dyadic Experts
NAACL 2025
RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs
AAAI 2025
What Do We Mean by Generalization in Federated Learning?
ICLR 2022
Simple Augmentation Goes a Long Way: ADRL for DNN Quantization
ICLR 2021
In-Place Zero-Space Memory Protection for CNN
NeurIPS 2019