Yuan Jiang
47 papers · 2013–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (17) π Renaissance Researcher (5) π Interdisciplinary Bridge π£ Hot Topic Early Bird
π
Conference Polyglot
(11)
πΊοΈ
Taxonomy Completionist
(17)
π§
Keyword Pioneer
π€
Dynamic Duo
(18)
π
Grand Slam
ποΈ
Keyword Collector
(188)
π
Trend Setter
π
Conference Pioneer
π₯
Unstoppable
(13)
β‘
Prolific Year
(6)
π
Century Club
(47)
Conferences
IJCAI (16)
AAAI (9)
NIPS (6)
ACML (4)
ICML (4)
AISTATS (2)
INTERSPEECH (2)
CVPR (1)
ICCV (1)
ICLR (1)
UAI (1)
Top co-authors
Keywords
abductive learning
(6)
symbolic reasoning
(4)
multi-modal learning
(4)
generalization bound
(3)
metric learning
(3)
distribution shift
(3)
logical reasoning
(3)
neuro-symbolic learning
(3)
vehicle routing problem
(3)
semi-supervised learning
(3)
domain knowledge
(2)
sequential decision
(2)
mahalanobis distance
(2)
knowledge graph
(2)
decision tree
(2)
matrix factorization
(2)
voice conversion
(2)
unsupervised learning
(2)
anomaly detection
(2)
speech synthesis
(2)
Papers
Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection
AAAI 2025
QA-MDT: Quality-aware Masked Diffusion Transformer for Enhanced Music Generation
IJCAI 2025
Avoiding Undesired Future with Sequential Decisions
IJCAI 2025
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
AAAI 2025
DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning
IJCAI 2025
Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection (Extended Abstract)
IJCAI 2025
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees
AAAI 2024
MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information
AAAI 2024
Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images
ICML 2024
Enabling Knowledge Refinement upon New Concepts in Abductive Learning
AAAI 2023
Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent
NIPS 2023
Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift
NIPS 2023
On the Consistency Rate of Decision Tree Learning Algorithms
AISTATS 2023
Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning
ICLR 2023
Enabling Abductive Learning to Exploit Knowledge Graph
IJCAI 2023
Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data
IJCAI 2023
Multi-view graph contrastive learning for solving vehicle routing problems
UAI 2023
Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks
NIPS 2022
Learning to Solve Routing Problems via Distributionally Robust Optimization
AAAI 2022
Fast Abductive Learning by Similarity-based Consistency Optimization
NIPS 2021
Isolation Graph Kernel
AAAI 2021
Abductive Learning with Ground Knowledge Base
IJCAI 2021
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data
ICML 2020
A Simple Approach for Non-stationary Linear Bandits
AISTATS 2020
Learning with Feature and Distribution Evolvable Streams
ICML 2020
Provably Robust Metric Learning
NIPS 2020
Deep Robust Unsupervised Multi-Modal Network
AAAI 2019
Multi-View Anomaly Detection: Neighborhood in Locality Matters
AAAI 2019
Comprehensive Semi-Supervised Multi-Modal Learning
IJCAI 2019
WaveNet Vocoder with Limited Training Data for Voice Conversion
INTERSPEECH 2018
Rectify Heterogeneous Models with Semantic Mapping
ICML 2018
Semi-Supervised Multi-Modal Learning with Incomplete Modalities
IJCAI 2018
Instance Specific Discriminative Modal Pursuit: A Serialized Approach
ACML 2017
Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing
IJCAI 2017
Modal Consistency based Pre-Trained Multi-Model Reuse
IJCAI 2017
Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps
IJCAI 2017
Multimodal Linear Discriminant Analysis via Structural Sparsity
IJCAI 2017
Multi-Stage Multi-Recursive-Input Fully Convolutional Networks for Neuronal Boundary Detection
ICCV 2017
Learning Feature Aware Metric
ACML 2016
Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side Outputs
CVPR 2016
Learning by Actively Querying Strong Modal Features
IJCAI 2016
The USTC System for Voice Conversion Challenge 2016: Neural Network Based Approaches for Spectrum, Aperiodicity and F0Conversion
INTERSPEECH 2016
What Makes Objects Similar: A Unified Multi-Metric Learning Approach
NIPS 2016
Auxiliary Information Regularized Machine for Multiple Modality Feature Learning
IJCAI 2015
Preference Relation-based Markov Random Fields for Recommender Systems
ACML 2015
Learning with Augmented Multi-Instance View
ACML 2014
Multi-Instance Multi-Label Learning with Weak Label
IJCAI 2013