Jie Song

Orcid: 0000-0003-3671-6521

Affiliations:

Zhejiang University, College of Software Technology, Hangzhou, China

According to our database¹, Jie Song authored at least 66 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

A Survey of Deep Learning for Low-shot Object Detection.

[BibT_eX]

[DOI]

ACM Comput. Surv., May, 2024

Powerformer: A Section-adaptive Transformer for Power Flow Adjustment.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., December, 2023

Constituent Attention for Vision Transformers.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., December, 2023

Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2023

HSDN: A High-Order Structural Semantic Disentangled Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2023

Distribution Knowledge Embedding for Graph Pooling.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., August, 2023

Knowledge Amalgamation for Object Detection With Transformers.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?

[BibT_eX]

[DOI]

CoRR, 2023

Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation.

[BibT_eX]

[DOI]

CoRR, 2023

Recent advances in artificial intelligence for retrosynthesis.

[BibT_eX]

[DOI]

CoRR, 2023

Lookaround Optimizer: k steps around, 1 step average.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Schema Inference for Interpretable Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ModelGiF: Gradient Fields for Model Functional Distance.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Spot-Adaptive Knowledge Distillation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Learn decision trees with deep visual primitives.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2022

Hierarchical gate network for fine-grained visual recognition.

[BibT_eX]

[DOI]

Ying Chen

Jie Song

Mingli Song

Neurocomputing, 2022

Is ProtoPNet Really Explainable? Evaluating and Improving the Interpretability of Prototypes.

[BibT_eX]

[DOI]

CoRR, 2022

A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges.

[BibT_eX]

[DOI]

CoRR, 2022

A Survey of Neural Trees.

[BibT_eX]

[DOI]

CoRR, 2022

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition.

[BibT_eX]

[DOI]

CoRR, 2022

Federated Selective Aggregation for Knowledge Amalgamation.

[BibT_eX]

[DOI]

CoRR, 2022

Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework.

[BibT_eX]

[DOI]

CoRR, 2022

Root-aligned SMILES for Molecular Retrosynthesis Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

Explainable Fragment-Based Molecular Property Attribution.

[BibT_eX]

[DOI]

Adv. Intell. Syst., 2022

Chemical Property Relation Guided Few-Shot Molecular Property Prediction.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Learning Domain Adaptive Object Detection with Probabilistic Teacher.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Learning with Recoverable Forgetting.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Attention Diversification for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Meta-attention for ViT-backed Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Slimmable Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Label Matching Semi-Supervised Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Safe Distillation Box.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Up to 100x Faster Data-Free Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Survey of Deep Learning for Low-Shot Object Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Distribution Knowledge Embedding for Graph Pooling.

[BibT_eX]

[DOI]

CoRR, 2021

Contrastive Model Inversion for Data-Free Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2021

Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Contrastive Model Invertion for Data-Free Knolwedge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Tree-Like Branching Network for Multi-class Classification.

[BibT_eX]

[DOI]

ICO, 2021

Self-born Wiring for Neural Trees.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Tree-Like Decision Distillation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Training Generative Adversarial Networks in One Stage.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Progressive Network Grafting for Few-Shot Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Impression Space from Deep Template Network.

[BibT_eX]

[DOI]

CoRR, 2020

DEPARA: Deep Attribution Graph for Deep Knowledge Transferability.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Faster Self-adaptive Deep Stereo.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Data-Free Adversarial Distillation.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Model Transferability from Attribution Maps.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Amalgamating Knowledge towards Comprehensive Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Intra-class Structure Aware Networks for Screen Defect Detection.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Selective Zero-Shot Classification with Augmented Attributes.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Transductive Unbiased Embedding for Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Value-Aware Resampling and Loss for Imbalanced Classification.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on Computer Science and Application Engineering, 2018

2017

Towards Deeper Insights into Deep Learning from Imbalanced Data.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

Jie Song

Timeline

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