← Authors

Yuan Jiang

47 papers · 2013–2025 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (7) πŸƒ Academic Marathon (12) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (11) πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🀝 Dynamic Duo (18) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (188) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (13) ⚑ Prolific Year (6) πŸ’Ž 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

Zhi-Hua Zhou (18) De-Chuan Zhan (13) Yang Yang (8) Wang-Zhou Dai (7) Han-Jia Ye (6) Yu-Xuan Huang (5) Zhiguang Cao (4) Yaoxin Wu (3) Xue-Min Si (3) Jie Zhang (3)

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