Mengmeng Jing - RankMe

63 papers A* 14A 4B 1Misc 1Journal 37Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models. AAAI Biao Chen, Lin Zuo, Mengmeng Jing, Kunbin He, Yuchen Wang
2026	A*	`conf`	Instruction-Guided Cross-Modal Clustering for Training-Free Visual Token Pruning in Vision-Language Models. AAAI Yunqian Yu, Biao Chen, Yunya Zhang, Tonglan Xie, Mengmeng Jing, Lin Zuo
2026	J	`jnl`	Learning spatio-temporal consistency in spiking neural networks by self-distillation. Pattern Recognit. Lin Zuo, Yongqi Ding, Mengmeng Jing, Kunshan Yang, Hanpu Deng
2026	J	`jnl`	Stable Spike: Dual Consistency Optimization via Bitwise AND Operations for Spiking Neural Networks. CoRR Yongqi Ding, Kunshan Yang, Linze Li, Yiyang Zhang, Mengmeng Jing, Lin Zuo
2025	A	`conf`	A Semantic-Enhanced Heterogeneous Graph Learning Method for Flexible Objects Recognition. ICME Kunshan Yang, Wenwei Luo, Yuguo Hu, Jiafu Yan, Mengmeng Jing, Lin Zuo
2025	J	`jnl`	A Semantic-Enhanced Heterogeneous Graph Learning Method for Flexible Objects Recognition. CoRR Kunshan Yang, Wenwei Luo, Yuguo Hu, Jiafu Yan, Mengmeng Jing, Lin Zuo
2025	J	`jnl`	Adaptive recognition of flexible objects via hierarchical deformable graph network. Inf. Sci. Kunshan Yang, Lin Zuo, Mengmeng Jing, Yongqi Ding, Haoran Peng, Xianlong Tian
2025	J	`jnl`	An Advanced Model Predictive Control Method Based on Discrete Space Vector Modulation for Reduced Switch Counts Three-Level Converter. IEEE Trans. Ind. Electron. Mengmeng Jing, Zhiyuan Chen, Xiangyang Xing, Alian Chen, Chenghui Zhang, Frede Blaabjerg
2025	A	`conf`	Bayesian-Inspired Cross-Spectral Fusion Network for Robust Depth Estimation. ICME Jiafu Yan, Wenwei Luo, Yuguo Hu, Changhua Zhang, Mengmeng Jing, Lin Zuo
2025	A*	`conf`	Bridging Inter-Class Ambiguity and Spatial Variability in Flexible Object Recognition via Graph Distillation. ACM Multimedia Lin Zuo, Kunshan Yang, Mengmeng Jing, Xiangxu Zhao, Jiaqiao Chen
2025	A*	`conf`	Chain-of-Thought Guided Semantic Debiasing for Low-Shot Vision-Language Tasks. ACM Multimedia Biao Chen, Kunbin He, Zhikun Zheng, Mengmeng Jing, Lin Zuo
2025	A	`conf`	Diffusion-Driven Source Consistency for Gradual Domain Adaptation. ICME Wenwei Luo, Yuguo Hu, Jiafu Yan, Mengmeng Jing, Lin Zuo
2025	J	`jnl`	Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models. CoRR Biao Chen, Lin Zuo, Mengmeng Jing, Kunbin He, Yuchen Wang
2025	J	`jnl`	Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition. IEEE Trans. Circuits Syst. Video Technol. Kunshan Yang, Lin Zuo, Mengmeng Jing, Xianlong Tian, Kunbin He, Yongqi Ding
2025	—	`conf`	Learning Latent Representations with Codebook Priors for Single-Image Flare Removal. ICIC (3) Shimin Luo, Yunya Zhang, Yuchen Wang, Hanpu Deng, Mengmeng Jing, Lin Zuo
2025	J	`jnl`	Multi-Granularity Relation Enhancement Network for Tiny Defect Detection on Printed Circuit Board. IEEE Trans. Instrum. Meas. Feng Guo, Zhongshu Chen, Biao Chen, Mengmeng Jing, Lin Zuo
2025	—	`conf`	Multi-bit Mechanism: Towards Ultra-Low Time Steps for Spiking Neural Networks. ICIC (21) Yongjun Xiao, Pei He, Hanpu Deng, Tonglan Xie, Mengmeng Jing, Lin Zuo
2025	Misc	`conf`	Prelude echoes Finale: Video Domain Adaptation with Fine-grained Temporal Consistency. ICASSP Shuxian Wang, Mengmeng Jing, Xianlong Tian, Yuguo Hu, Lin Zuo
2025	A*	`conf`	Rethinking Spiking Neural Networks from an Ensemble Learning Perspective. ICLR Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Hanpu Deng
2025	J	`jnl`	Rethinking Spiking Neural Networks from an Ensemble Learning Perspective. CoRR Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Hanpu Deng
2025	J	`jnl`	SWAT: Sliding Window Adversarial Training for Gradual Domain Adaptation. CoRR Zixi Wang, Yubo Huang, Wenwei Luo, Tonglan Xie, Mengmeng Jing, Lin Zuo
2025	J	`jnl`	Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers. CoRR Yongqi Ding, Lin Zuo, Mengmeng Jing, Kunshan Yang, Pei He, Tonglan Xie
2025	—	`conf`	Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks. KDD (2) Lin Zuo, Yongqi Ding, Mengmeng Jing, Kunshan Yang, Biao Chen, Yunqian Yu
2025	J	`jnl`	Visual residual aggregation network for visual-language prompt tuning. Appl. Intell. Yunqian Yu, Feng Guo, Xianlong Tian, Biao Chen, Mengmeng Jing, Lin Zuo
2024	J	`jnl`	Alleviation of Leakage Current and Neutral Point Voltage Deviation for Using an Eight-Switch Inverter. IEEE Trans. Ind. Electron. Chuangping Wen, Xiangyang Xing, Mengmeng Jing, Bo Sun, Chang Liu, Frede Blaabjerg
2024	J	`jnl`	Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition. CoRR Lin Zuo, Kunshan Yang, Xianlong Tian, Kunbin He, Yongqi Ding, Mengmeng Jing
2024	—	`conf`	Graph Neural Network-Based Structured Scene Graph Generation for Efficient Wildfire Detection. ICIC (3) Yanning Ye, Shimin Luo, Mengmeng Jing, Yongqi Ding, Kunbin He, Lin Zuo
2024	J	`jnl`	Multi-Bit Mechanism: A Novel Information Transmission Paradigm for Spiking Neural Networks. CoRR Yongjun Xiao, Xianlong Tian, Yongqi Ding, Pei He, Mengmeng Jing, Lin Zuo
2024	J	`jnl`	Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks. CoRR Lin Zuo, Yongqi Ding, Mengmeng Jing, Kunshan Yang, Yunqian Yu
2024	J	`jnl`	Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Network. CoRR Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Yongjun Xiao
2024	A*	`conf`	Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks. AAAI Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Yongjun Xiao
2024	J	`jnl`	Temporal Reversed Training for Spiking Neural Networks with Generalized Spatio-Temporal Representation. CoRR Lin Zuo, Yongqi Ding, Wenwei Luo, Mengmeng Jing, Xianlong Tian, Kunshan Yang
2024	J	`jnl`	Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks. CoRR Yongqi Ding, Lin Zuo, Mengmeng Jing, Kunshan Yang, Biao Chen, Yunqian Yu
2024	J	`jnl`	Visually Source-Free Domain Adaptation via Adversarial Style Matching. IEEE Trans. Image Process. Mengmeng Jing, Jingjing Li, Ke Lu, Lei Zhu, Heng Tao Shen
2023	J	`jnl`	Adversarial Mixup Ratio Confusion for Unsupervised Domain Adaptation. IEEE Trans. Multim. Mengmeng Jing, Lichao Meng, Jingjing Li, Lei Zhu, Heng Tao Shen
2023	J	`jnl`	Open Set Domain Adaptation via Joint Alignment and Category Separation. IEEE Trans. Neural Networks Learn. Syst. Jieyan Liu, Mengmeng Jing, Jingjing Li, Ke Lu, Heng Tao Shen
2023	A*	`conf`	Order-preserving Consistency Regularization for Domain Adaptation and Generalization. ICCV Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek
2023	J	`jnl`	Order-preserving Consistency Regularization for Domain Adaptation and Generalization. CoRR Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees Snoek
2022	J	`jnl`	Faster Domain Adaptation Networks. IEEE Trans. Knowl. Data Eng. Jingjing Li, Mengmeng Jing, Hongzu Su, Ke Lu, Lei Zhu, Heng Tao Shen
2022	J	`jnl`	Investigating the Bilateral Connections in Generative Zero-Shot Learning. IEEE Trans. Cybern. Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen
2022	A*	`conf`	Variational Model Perturbation for Source-Free Domain Adaptation. NeurIPS Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees Snoek
2022	J	`jnl`	Variational Model Perturbation for Source-Free Domain Adaptation. CoRR Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek
2021	J	`jnl`	Adaptive Component Embedding for Domain Adaptation. IEEE Trans. Cybern. Mengmeng Jing, Jidong Zhao, Jingjing Li, Lei Zhu, Yang Yang, Heng Tao Shen
2021	A*	`conf`	Balanced Open Set Domain Adaptation via Centroid Alignment. AAAI Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang
2021	J	`jnl`	Challenging tough samples in unsupervised domain adaptation. Pattern Recognit. Lin Zuo, Mengmeng Jing, Jingjing Li, Lei Zhu, Ke Lu, Yang Yang
2020	A*	`conf`	Incomplete Cross-modal Retrieval with Dual-Aligned Variational Autoencoders. ACM Multimedia Mengmeng Jing, Jingjing Li, Lei Zhu, Ke Lu, Yang Yang, Zi Huang
2020	J	`jnl`	Joint metric and feature representation learning for unsupervised domain adaptation. Knowl. Based Syst. Yue Xie, Zhekai Du, Jingjing Li, Mengmeng Jing, Erpeng Chen, Ke Lu
2020	A*	`conf`	Learning Modality-Invariant Latent Representations for Generalized Zero-shot Learning. ACM Multimedia Jingjing Li, Mengmeng Jing, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang
2020	J	`jnl`	Learning explicitly transferable representations for domain adaptation. Neural Networks Mengmeng Jing, Jingjing Li, Ke Lu, Lei Zhu, Yang Yang
2020	J	`jnl`	Multi-source domain adaptation with graph embedding and adaptive label prediction. Inf. Process. Manag. Ao Ma, Fuming You, Mengmeng Jing, Jingjing Li, Ke Lu
2019	—	`conf`	A Domain Adaptation Approach for Multistream Classification. DASFAA (3) Yue Xie, Jingjing Li, Mengmeng Jing, Ke Lu, Zi Huang
2019	A	`conf`	Adaptive Component Embedding for Unsupervised Domain Adaptation. ICME Mengmeng Jing, Jingjing Li, Ke Lu, Jieyan Liu, Zi Huang
2019	B	`conf`	Agile Domain Adaptation. IJCNN Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang
2019	J	`jnl`	Agile Domain Adaptation. CoRR Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang
2019	A*	`conf`	Alleviating Feature Confusion for Generative Zero-shot Learning. ACM Multimedia Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang
2019	J	`jnl`	Alleviating Feature Confusion for Generative Zero-shot Learning. CoRR Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang
2019	A*	`conf`	From Zero-Shot Learning to Cold-Start Recommendation. AAAI Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang
2019	J	`jnl`	From Zero-Shot Learning to Cold-Start Recommendation. CoRR Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang
2019	A*	`conf`	Leveraging the Invariant Side of Generative Zero-Shot Learning. CVPR Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang
2019	J	`jnl`	Leveraging the Invariant Side of Generative Zero-Shot Learning. CoRR Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang
2019	J	`jnl`	Locality Preserving Joint Transfer for Domain Adaptation. CoRR Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen
2019	J	`jnl`	Locality Preserving Joint Transfer for Domain Adaptation. IEEE Trans. Image Process. Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen
2018	—	`conf`	Learning Distribution-Matched Landmarks for Unsupervised Domain Adaptation. DASFAA (2) Mengmeng Jing, Jingjing Li, Jidong Zhao, Ke Lu