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Mengmeng Jing
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2020 – today
- 2024
- [j12]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): 8793-8807 (2024) - [j11]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: 1032-1044 (2024) - [c14]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: 11811-11819 - [c13]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: 356-367 - [i13]Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Yongjun Xiao:
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Network. CoRR abs/2401.01912 (2024) - [i12]Lin Zuo, Yongqi Ding, Mengmeng Jing, Kunshan Yang, Yunqian Yu:
Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks. CoRR abs/2406.07862 (2024) - [i11]Lin Zuo, Kunshan Yang, Xianlong Tian, Kunbin He, Yongqi Ding, Mengmeng Jing:
Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition. CoRR abs/2406.18585 (2024) - [i10]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 abs/2407.05739 (2024) - [i9]Lin Zuo, Yongqi Ding, Wenwei Luo, Mengmeng Jing, Xianlong Tian, Kunshan Yang:
Temporal Reversed Training for Spiking Neural Networks with Generalized Spatio-Temporal Representation. CoRR abs/2408.09108 (2024) - [i8]Yongqi Ding, Lin Zuo, Mengmeng Jing, Kunshan Yang, Biao Chen, Yunqian Yu:
Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks. CoRR abs/2408.11067 (2024) - 2023
- [j10]Mengmeng Jing, Lichao Meng, Jingjing Li, Lei Zhu, Heng Tao Shen:
Adversarial Mixup Ratio Confusion for Unsupervised Domain Adaptation. IEEE Trans. Multim. 25: 2559-2572 (2023) - [j9]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): 6186-6199 (2023) - [c12]Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek:
Order-preserving Consistency Regularization for Domain Adaptation and Generalization. ICCV 2023: 18870-18881 - [i7]Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees Snoek:
Order-preserving Consistency Regularization for Domain Adaptation and Generalization. CoRR abs/2309.13258 (2023) - 2022
- [j8]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): 8167-8178 (2022) - [j7]Jingjing Li, Mengmeng Jing, Hongzu Su, Ke Lu, Lei Zhu, Heng Tao Shen:
Faster Domain Adaptation Networks. IEEE Trans. Knowl. Data Eng. 34(12): 5770-5783 (2022) - [c11]Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees Snoek:
Variational Model Perturbation for Source-Free Domain Adaptation. NeurIPS 2022 - [i6]Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek:
Variational Model Perturbation for Source-Free Domain Adaptation. CoRR abs/2210.10378 (2022) - 2021
- [j6]Lin Zuo, Mengmeng Jing, Jingjing Li, Lei Zhu, Ke Lu, Yang Yang:
Challenging tough samples in unsupervised domain adaptation. Pattern Recognit. 110: 107540 (2021) - [j5]Mengmeng Jing, Jidong Zhao, Jingjing Li, Lei Zhu, Yang Yang, Heng Tao Shen:
Adaptive Component Embedding for Domain Adaptation. IEEE Trans. Cybern. 51(7): 3390-3403 (2021) - [c10]Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang:
Balanced Open Set Domain Adaptation via Centroid Alignment. AAAI 2021: 8013-8020 - 2020
- [j4]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): 102367 (2020) - [j3]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: 105222 (2020) - [j2]Mengmeng Jing, Jingjing Li, Ke Lu, Lei Zhu, Yang Yang:
Learning explicitly transferable representations for domain adaptation. Neural Networks 130: 39-48 (2020) - [c9]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: 1348-1356 - [c8]Mengmeng Jing, Jingjing Li, Lei Zhu, Ke Lu, Yang Yang, Zi Huang:
Incomplete Cross-modal Retrieval with Dual-Aligned Variational Autoencoders. ACM Multimedia 2020: 3283-3291
2010 – 2019
- 2019
- [j1]Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen:
Locality Preserving Joint Transfer for Domain Adaptation. IEEE Trans. Image Process. 28(12): 6103-6115 (2019) - [c7]Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang:
From Zero-Shot Learning to Cold-Start Recommendation. AAAI 2019: 4189-4196 - [c6]Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang:
Leveraging the Invariant Side of Generative Zero-Shot Learning. CVPR 2019: 7402-7411 - [c5]Yue Xie, Jingjing Li, Mengmeng Jing, Ke Lu, Zi Huang:
A Domain Adaptation Approach for Multistream Classification. DASFAA (3) 2019: 343-347 - [c4]Mengmeng Jing, Jingjing Li, Ke Lu, Jieyan Liu, Zi Huang:
Adaptive Component Embedding for Unsupervised Domain Adaptation. ICME 2019: 1660-1665 - [c3]Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang:
Agile Domain Adaptation. IJCNN 2019: 1-8 - [c2]Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang:
Alleviating Feature Confusion for Generative Zero-shot Learning. ACM Multimedia 2019: 1587-1595 - [i5]Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang:
Leveraging the Invariant Side of Generative Zero-Shot Learning. CoRR abs/1904.04092 (2019) - [i4]Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen:
Locality Preserving Joint Transfer for Domain Adaptation. CoRR abs/1906.07441 (2019) - [i3]Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang:
From Zero-Shot Learning to Cold-Start Recommendation. CoRR abs/1906.08511 (2019) - [i2]Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang:
Agile Domain Adaptation. CoRR abs/1907.04978 (2019) - [i1]Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang:
Alleviating Feature Confusion for Generative Zero-shot Learning. CoRR abs/1909.07615 (2019) - 2018
- [c1]Mengmeng Jing, Jingjing Li, Jidong Zhao, Ke Lu:
Learning Distribution-Matched Landmarks for Unsupervised Domain Adaptation. DASFAA (2) 2018: 491-508
Coauthor Index
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last updated on 2024-09-26 01:56 CEST by the dblp team
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