Yuan Jiang

Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent JMLR 2026 Avoiding Undesired Future with Sequential Decisions IJCAI 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 AAAI 2025 Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection (Extended Abstract) IJCAI 2025 GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs AAAI 2025 QA-MDT: Quality-aware Masked Diffusion Transformer for Enhanced Music Generation 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 Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent NeurIPS 2023 Enabling Abductive Learning to Exploit Knowledge Graph IJCAI 2023 Enabling Knowledge Refinement upon New Concepts in Abductive Learning AAAI 2023 Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift NeurIPS 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 On the Consistency Rate of Decision Tree Learning Algorithms AISTATS 2023 Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning ICLR 2023 Learning to Solve Routing Problems via Distributionally Robust Optimization AAAI 2022 Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks NeurIPS 2022 Abductive Learning with Ground Knowledge Base IJCAI 2021 Fast Abductive Learning by Similarity-based Consistency Optimization NeurIPS 2021 Isolation Graph Kernel AAAI 2021 A Simple Approach for Non-stationary Linear Bandits AISTATS 2020 Learning with Feature and Distribution Evolvable Streams ICML 2020 Provably Robust Metric Learning NeurIPS 2020 Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data ICML 2020 Comprehensive Semi-Supervised Multi-Modal Learning IJCAI 2019 Deep Robust Unsupervised Multi-Modal Network AAAI 2019 Multi-View Anomaly Detection: Neighborhood in Locality Matters AAAI 2019 Rectify Heterogeneous Models with Semantic Mapping ICML 2018 Semi-Supervised Multi-Modal Learning with Incomplete Modalities IJCAI 2018 WaveNet Vocoder with Limited Training Data for Voice Conversion Interspeech 2018 Instance Specific Discriminative Modal Pursuit: A Serialized Approach ACML 2017 Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps IJCAI 2017 Modal Consistency based Pre-Trained Multi-Model Reuse 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 Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing IJCAI 2017 Learning by Actively Querying Strong Modal Features IJCAI 2016 Learning Feature Aware Metric ACML 2016 Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side Outputs CVPR 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 NeurIPS 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