Mengmeng Jing

Orcid: 0000-0002-0693-2197

According to our database¹, Mengmeng Jing authored at least 51 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

Stable Spike: Dual Consistency Optimization via Bitwise AND Operations for Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, March, 2026

Learning spatio-temporal consistency in spiking neural networks by self-distillation.

[BibT_eX]

[DOI]

Pattern Recognit., 2026

Instruction-Guided Cross-Modal Clustering for Training-Free Visual Token Pruning in Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Visual residual aggregation network for visual-language prompt tuning.

[BibT_eX]

[DOI]

Appl. Intell., October, 2025

Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., July, 2025

An Advanced Model Predictive Control Method Based on Discrete Space Vector Modulation for Reduced Switch Counts Three-Level Converter.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., April, 2025

SWAT: Sliding Window Adversarial Training for Gradual Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, January, 2025

Multi-Granularity Relation Enhancement Network for Tiny Defect Detection on Printed Circuit Board.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2025

Adaptive recognition of flexible objects via hierarchical deformable graph network.

[BibT_eX]

[DOI]

Inf. Sci., 2025

Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Bridging Inter-Class Ambiguity and Spatial Variability in Flexible Object Recognition via Graph Distillation.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Chain-of-Thought Guided Semantic Debiasing for Low-Shot Vision-Language Tasks.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

A Semantic-Enhanced Heterogeneous Graph Learning Method for Flexible Objects Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Bayesian-Inspired Cross-Spectral Fusion Network for Robust Depth Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Diffusion-Driven Source Consistency for Gradual Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Rethinking Spiking Neural Networks from an Ensemble Learning Perspective.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Multi-bit Mechanism: Towards Ultra-Low Time Steps for Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Learning Latent Representations with Codebook Priors for Single-Image Flare Removal.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Prelude echoes Finale: Video Domain Adaptation with Fine-grained Temporal Consistency.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Alleviation of Leakage Current and Neutral Point Voltage Deviation for Using an Eight-Switch Inverter.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., August, 2024

Visually Source-Free Domain Adaptation via Adversarial Style Matching.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

Temporal Reversed Training for Spiking Neural Networks with Generalized Spatio-Temporal Representation.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-Bit Mechanism: A Novel Information Transmission Paradigm for Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Network.

[BibT_eX]

[DOI]

CoRR, 2024

Graph Neural Network-Based Structured Scene Graph Generation for Efficient Wildfire Detection.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Open Set Domain Adaptation via Joint Alignment and Category Separation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Adversarial Mixup Ratio Confusion for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Order-preserving Consistency Regularization for Domain Adaptation and Generalization.

[BibT_eX]

[DOI]

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

2022

Faster Domain Adaptation Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Investigating the Bilateral Connections in Generative Zero-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Variational Model Perturbation for Source-Free Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Adaptive Component Embedding for Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Challenging tough samples in unsupervised domain adaptation.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Balanced Open Set Domain Adaptation via Centroid Alignment.

[BibT_eX]

[DOI]

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

2020

Learning explicitly transferable representations for domain adaptation.

[BibT_eX]

[DOI]

Neural Networks, 2020

Joint metric and feature representation learning for unsupervised domain adaptation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Multi-source domain adaptation with graph embedding and adaptive label prediction.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2020

Learning Modality-Invariant Latent Representations for Generalized Zero-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Incomplete Cross-modal Retrieval with Dual-Aligned Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

Locality Preserving Joint Transfer for Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Alleviating Feature Confusion for Generative Zero-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Agile Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Adaptive Component Embedding for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

A Domain Adaptation Approach for Multistream Classification.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2019

Leveraging the Invariant Side of Generative Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

From Zero-Shot Learning to Cold-Start Recommendation.

[BibT_eX]

[DOI]

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

2018

Learning Distribution-Matched Landmarks for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2018

Mengmeng Jing

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...