Mengmeng Jing

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 37

Top Topics

Object Recognition

Domain Adaptation

Spiking Neural Networks

Document Classification

Top Venues

IEEE Trans. Cybern.

Publications

Lin Zuo, Kunshan Yang, Xianlong Tian, Kunbin He, Yongqi Ding, Mengmeng Jing
Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition. CoRR (2024)
Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Yongjun Xiao
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Network. CoRR (2024)
Mengmeng Jing, Jingjing Li, Ke Lu, Lei Zhu, Heng Tao Shen
Visually Source-Free Domain Adaptation via Adversarial Style Matching. IEEE Trans. Image Process. 33 (2024)
Yongjun Xiao, Xianlong Tian, Yongqi Ding, Pei He, Mengmeng Jing, Lin Zuo
Multi-Bit Mechanism: A Novel Information Transmission Paradigm for Spiking Neural Networks. CoRR (2024)
Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Yongjun Xiao
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks. AAAI (2024)
Lin Zuo, Yongqi Ding, Mengmeng Jing, Kunshan Yang, Yunqian Yu
Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks. CoRR (2024)
Chuangping Wen, Xiangyang Xing, Mengmeng Jing, Bo Sun, Chang Liu, Frede Blaabjerg
Alleviation of Leakage Current and Neutral Point Voltage Deviation for Using an Eight-Switch Inverter. IEEE Trans. Ind. Electron. 71 (8) (2024)
Yanning Ye, Shimin Luo, Mengmeng Jing, Yongqi Ding, Kunbin He, Lin Zuo
Graph Neural Network-Based Structured Scene Graph Generation for Efficient Wildfire Detection. ICIC (3) (2024)
Mengmeng Jing, Lichao Meng, Jingjing Li, Lei Zhu, Heng Tao Shen
Adversarial Mixup Ratio Confusion for Unsupervised Domain Adaptation. IEEE Trans. Multim. 25 (2023)
Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees Snoek
Order-preserving Consistency Regularization for Domain Adaptation and Generalization. CoRR (2023)
Jieyan Liu, Mengmeng Jing, Jingjing Li, Ke Lu, Heng Tao Shen
Open Set Domain Adaptation via Joint Alignment and Category Separation. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek
Order-preserving Consistency Regularization for Domain Adaptation and Generalization. ICCV (2023)
Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek
Variational Model Perturbation for Source-Free Domain Adaptation. CoRR (2022)
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen
Investigating the Bilateral Connections in Generative Zero-Shot Learning. IEEE Trans. Cybern. 52 (8) (2022)
Jingjing Li, Mengmeng Jing, Hongzu Su, Ke Lu, Lei Zhu, Heng Tao Shen
Faster Domain Adaptation Networks. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees Snoek
Variational Model Perturbation for Source-Free Domain Adaptation. NeurIPS (2022)
Lin Zuo, Mengmeng Jing, Jingjing Li, Lei Zhu, Ke Lu, Yang Yang
Challenging tough samples in unsupervised domain adaptation. Pattern Recognit. 110 (2021)
Mengmeng Jing, Jidong Zhao, Jingjing Li, Lei Zhu, Yang Yang, Heng Tao Shen
Adaptive Component Embedding for Domain Adaptation. IEEE Trans. Cybern. 51 (7) (2021)
Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang
Balanced Open Set Domain Adaptation via Centroid Alignment. AAAI (2021)
Jingjing Li, Mengmeng Jing, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang
Learning Modality-Invariant Latent Representations for Generalized Zero-shot Learning. ACM Multimedia (2020)
Ao Ma, Fuming You, Mengmeng Jing, Jingjing Li, Ke Lu
Multi-source domain adaptation with graph embedding and adaptive label prediction. Inf. Process. Manag. 57 (6) (2020)
Mengmeng Jing, Jingjing Li, Lei Zhu, Ke Lu, Yang Yang, Zi Huang
Incomplete Cross-modal Retrieval with Dual-Aligned Variational Autoencoders. ACM Multimedia (2020)
Yue Xie, Zhekai Du, Jingjing Li, Mengmeng Jing, Erpeng Chen, Ke Lu
Joint metric and feature representation learning for unsupervised domain adaptation. Knowl. Based Syst. 192 (2020)
Mengmeng Jing, Jingjing Li, Ke Lu, Lei Zhu, Yang Yang
Learning explicitly transferable representations for domain adaptation. Neural Networks 130 (2020)
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang
Alleviating Feature Confusion for Generative Zero-shot Learning. ACM Multimedia (2019)
Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang
Leveraging the Invariant Side of Generative Zero-Shot Learning. CVPR (2019)
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang
Alleviating Feature Confusion for Generative Zero-shot Learning. CoRR (2019)
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang
From Zero-Shot Learning to Cold-Start Recommendation. AAAI (2019)
Mengmeng Jing, Jingjing Li, Ke Lu, Jieyan Liu, Zi Huang
Adaptive Component Embedding for Unsupervised Domain Adaptation. ICME (2019)
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang
From Zero-Shot Learning to Cold-Start Recommendation. CoRR (2019)
Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang
Leveraging the Invariant Side of Generative Zero-Shot Learning. CoRR (2019)
Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang
Agile Domain Adaptation. CoRR (2019)
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen
Locality Preserving Joint Transfer for Domain Adaptation. CoRR (2019)
Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang
Agile Domain Adaptation. IJCNN (2019)
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen
Locality Preserving Joint Transfer for Domain Adaptation. IEEE Trans. Image Process. 28 (12) (2019)
Yue Xie, Jingjing Li, Mengmeng Jing, Ke Lu, Zi Huang
A Domain Adaptation Approach for Multistream Classification. DASFAA (3) (2019)
Mengmeng Jing, Jingjing Li, Jidong Zhao, Ke Lu
Learning Distribution-Matched Landmarks for Unsupervised Domain Adaptation. DASFAA (2) (2018)