Jie-Jing Shao
12 papers · 2021–2026 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Keyword Champion
(2)
π€
Dynamic Duo
(10)
ποΈ
Keyword Collector
(69)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(12)
Learning Types Β· Machine Learning
(9)
Artificial Intelligence
(7)
Core AI
(7)
Optimization & Theory
(4)
Deep Learning
(3)
Knowledge & Reasoning
(3)
Application Areas
(3)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Reasoning
(2)
Representation
(2)
Learning Paradigms Β· Artificial Intelligence
(1)
Learning Paradigms Β· Machine Learning
(1)
Models
(1)
Keywords
domain adaptation
(3)
abductive learning
(3)
symbolic reasoning
(2)
semi-supervised learning
(2)
large language model
(2)
neuro-symbolic system
(2)
ensemble learning
(1)
knowledge representation
(1)
reinforcement learning
(1)
weakly supervised learning
(1)
open-set classification
(1)
out-of-distribution generalization
(1)
variational inference
(1)
constraint satisfaction
(1)
bilevel optimization
(1)
maximum likelihood estimation
(1)
generalization error
(1)
graphical model
(1)
generalization guarantee
(1)
curriculum learning
(1)
Papers
Step Back to Leap Forward: Self-Backtracking for Symbolic Reasoning and Planning in Language Models
AAAI 2026
Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models
IJCAI 2025
Curriculum Abductive Learning for Mitigating Reasoning Shortcuts
IJCAI 2025
Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models
IJCAI 2025
Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible
ICML 2025
Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts
ICML 2024
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
ICML 2024
Safe Abductive Learning in the Presence of Inaccurate Rules
AAAI 2024
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions
ICML 2023
LOG: Active Model Adaptation for Label-Efficient OOD Generalization
NeurIPS 2022
Robust Semi-Supervised Learning when Not All Classes have Labels
NeurIPS 2022
Towards Robust Model Reuse in the Presence of Latent Domains
IJCAI 2021