Long Jin
12 papers · 2016–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Half
π§
Keyword Pioneer
π
Trend Setter
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(67)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(7)
Architectures
(5)
Optimization & Theory Β· Machine Learning
(4)
Core Methods
(3)
Artificial Intelligence
(2)
Computer Science
(2)
Natural Language Processing
(2)
Application Areas
(2)
Applications
(2)
Learning Types
(2)
Optimization & Theory Β· Deep Learning
(2)
Resources & Methods
(2)
Computer Vision
(1)
Reinforcement Learning
(1)
Keywords
graph neural network
(3)
structured data
(2)
convolutional neural network
(2)
neural network optimization
(2)
large language model
(2)
question answering
(2)
bayesian inference
(1)
network architecture
(1)
reinforcement learning
(1)
graph structure
(1)
knowledge graph
(1)
error detection
(1)
hierarchical reinforcement learning
(1)
message passing
(1)
link prediction
(1)
lifelong learning
(1)
static analysis
(1)
data augmentation
(1)
fault tolerance
(1)
label noise
(1)
Papers
Self-Correction Distillation for Structured Data Question Answering
AAAI 2026
A Method for Enhancing Generalization of Adam by Multiple Integrations
AAAI 2025
DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics
ACL 2025
TrustUQA: A Trustful Framework for Unified Structured Data Question Answering
AAAI 2025
Leveraging LLM Reasoning Enhances Personalized Recommender Systems
ACL 2024
NodeMixup: Tackling Under-Reaching for Graph Neural Networks
AAAI 2024
Zero Stability Well Predicts Performance of Convolutional Neural Networks
AAAI 2022
Decoupling the Depth and Scope of Graph Neural Networks
NeurIPS 2021
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
NeurIPS 2021
Introspective Classification with Convolutional Nets
NeurIPS 2017
Introspective Neural Networks for Generative Modeling
ICCV 2017
Early Detection of Configuration Errors to Reduce Failure Damage
OSDI 2016