Learning Distribution-Matched Landmarks for Unsupervised Domain Adaptation. - Mengmeng Jing; Jingjing Li 001; Jidong Zhao; Ke Lu 001 (DASFAA (2), 2018)

From Zero-Shot Learning to Cold-Start Recommendation. - Jingjing Li 001; Mengmeng Jing; Ke Lu 001; Lei Zhu 002; Yang Yang 002; Zi Huang (AAAI, 2019)

Leveraging the Invariant Side of Generative Zero-Shot Learning. - Jingjing Li 001; Mengmeng Jing; Ke Lu 001; Zhengming Ding; Lei Zhu 002; Zi Huang (CVPR, 2019)

A Domain Adaptation Approach for Multistream Classification. - Yue Xie; Jingjing Li 001; Mengmeng Jing; Ke Lu 001; Zi Huang (DASFAA (3), 2019)

Adaptive Component Embedding for Unsupervised Domain Adaptation. - Mengmeng Jing; Jingjing Li 001; Ke Lu 001; Jieyan Liu; Zi Huang (ICME, 2019)

Agile Domain Adaptation. - Jingjing Li 001; Mengmeng Jing; Yue Xie; Ke Lu 001; Zi Huang (IJCNN, 2019)

Alleviating Feature Confusion for Generative Zero-shot Learning. - Jingjing Li 001; Mengmeng Jing; Ke Lu 001; Lei Zhu 002; Yang Yang 002; Zi Huang (ACM Multimedia, 2019)

Locality Preserving Joint Transfer for Domain Adaptation. - Jingjing Li 001; Mengmeng Jing; Ke Lu 001; Lei Zhu 002; Heng Tao Shen (IEEE Trans. Image Process., 2019)

Incomplete Cross-modal Retrieval with Dual-Aligned Variational Autoencoders. - Mengmeng Jing; Jingjing Li 001; Lei Zhu 002; Ke Lu 001; Yang Yang 002; Zi Huang (ACM Multimedia, 2020)

Learning Modality-Invariant Latent Representations for Generalized Zero-shot Learning. - Jingjing Li 001; Mengmeng Jing; Lei Zhu 002; Zhengming Ding; Ke Lu 001; Yang Yang 002 (ACM Multimedia, 2020)

Multi-source domain adaptation with graph embedding and adaptive label prediction. - Ao Ma; Fuming You; Mengmeng Jing; Jingjing Li 001; Ke Lu 001 (Inf. Process. Manag., 2020)

Joint metric and feature representation learning for unsupervised domain adaptation. - Yue Xie; Zhekai Du; Jingjing Li 001; Mengmeng Jing; Erpeng Chen; Ke Lu 001 (Knowl. Based Syst., 2020)

Learning explicitly transferable representations for domain adaptation. - Mengmeng Jing; Jingjing Li 001; Ke Lu 001; Lei Zhu 002; Yang Yang 002 (Neural Networks, 2020)

Balanced Open Set Domain Adaptation via Centroid Alignment. - Mengmeng Jing; Jingjing Li 001; Lei Zhu 002; Zhengming Ding; Ke Lu 001; Yang Yang 002 (AAAI, 2021)

Challenging tough samples in unsupervised domain adaptation. - Lin Zuo; Mengmeng Jing; Jingjing Li 001; Lei Zhu 002; Ke Lu 001; Yang Yang 002 (Pattern Recognit., 2021)

Adaptive Component Embedding for Domain Adaptation. - Mengmeng Jing; Jidong Zhao; Jingjing Li 001; Lei Zhu 002; Yang Yang 002; Heng Tao Shen (IEEE Trans. Cybern., 2021)

Variational Model Perturbation for Source-Free Domain Adaptation. - Mengmeng Jing; Xiantong Zhen; Jingjing Li 001; Cees Snoek (NeurIPS, 2022)

Investigating the Bilateral Connections in Generative Zero-Shot Learning. - Jingjing Li 001; Mengmeng Jing; Ke Lu 001; Lei Zhu 002; Heng Tao Shen (IEEE Trans. Cybern., 2022)

Faster Domain Adaptation Networks. - Jingjing Li 001; Mengmeng Jing; Hongzu Su; Ke Lu 001; Lei Zhu 002; Heng Tao Shen (IEEE Trans. Knowl. Data Eng., 2022)

Order-preserving Consistency Regularization for Domain Adaptation and Generalization. - Mengmeng Jing; Xiantong Zhen; Jingjing Li 001; Cees G. M. Snoek (ICCV, 2023)

Adversarial Mixup Ratio Confusion for Unsupervised Domain Adaptation. - Mengmeng Jing; Lichao Meng; Jingjing Li 001; Lei Zhu 002; Heng Tao Shen (IEEE Trans. Multim., 2023)

Open Set Domain Adaptation via Joint Alignment and Category Separation. - Jieyan Liu; Mengmeng Jing; Jingjing Li 001; Ke Lu 001; Heng Tao Shen (IEEE Trans. Neural Networks Learn. Syst., 2023)

Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks. - Yongqi Ding; Lin Zuo; Mengmeng Jing; Pei He; Yongjun Xiao (AAAI, 2024)

Graph Neural Network-Based Structured Scene Graph Generation for Efficient Wildfire Detection. - Yanning Ye; Shimin Luo; Mengmeng Jing; Yongqi Ding; Kunbin He; Lin Zuo (ICIC (3), 2024)

Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Network. - Yongqi Ding; Lin Zuo; Mengmeng Jing; Pei He; Yongjun Xiao (CoRR, 2024)

Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks. - Lin Zuo; Yongqi Ding; Mengmeng Jing; Kunshan Yang; Yunqian Yu (CoRR, 2024)

Multi-Bit Mechanism: A Novel Information Transmission Paradigm for Spiking Neural Networks. - Yongjun Xiao; Xianlong Tian; Yongqi Ding; Pei He; Mengmeng Jing; Lin Zuo (CoRR, 2024)

Temporal Reversed Training for Spiking Neural Networks with Generalized Spatio-Temporal Representation. - Lin Zuo; Yongqi Ding; Wenwei Luo; Mengmeng Jing; Xianlong Tian; Kunshan Yang (CoRR, 2024)

Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks. - Yongqi Ding; Lin Zuo; Mengmeng Jing; Kunshan Yang; Biao Chen; Yunqian Yu (CoRR, 2024)

Visually Source-Free Domain Adaptation via Adversarial Style Matching. - Mengmeng Jing; Jingjing Li 001; Ke Lu 001; Lei Zhu 002; Heng Tao Shen (IEEE Trans. Image Process., 2024)

Alleviation of Leakage Current and Neutral Point Voltage Deviation for Using an Eight-Switch Inverter. - Chuangping Wen; Xiangyang Xing; Mengmeng Jing; Bo Sun; Chang Liu 118; Frede Blaabjerg (IEEE Trans. Ind. Electron., 2024)

Prelude echoes Finale: Video Domain Adaptation with Fine-grained Temporal Consistency. - Shuxian Wang; Mengmeng Jing; Xianlong Tian; Yuguo Hu; Lin Zuo (ICASSP, 2025)

Learning Latent Representations with Codebook Priors for Single-Image Flare Removal. - Shimin Luo; Yunya Zhang; Yuchen Wang; Hanpu Deng; Mengmeng Jing; Lin Zuo (ICIC (3), 2025)

Multi-bit Mechanism: Towards Ultra-Low Time Steps for Spiking Neural Networks. - Yongjun Xiao; Pei He; Hanpu Deng; Tonglan Xie; Mengmeng Jing; Lin Zuo (ICIC (21), 2025)

Rethinking Spiking Neural Networks from an Ensemble Learning Perspective. - Yongqi Ding; Lin Zuo; Mengmeng Jing; Pei He; Hanpu Deng (ICLR, 2025)

Adaptive recognition of flexible objects via hierarchical deformable graph network. - Kunshan Yang; Lin Zuo; Mengmeng Jing; Yongqi Ding; Haoran Peng; Xianlong Tian (Inf. Sci., 2025)

SWAT: Sliding Window Adversarial Training for Gradual Domain Adaptation. - Zixi Wang; Yubo Huang; Wenwei Luo; Tonglan Xie; Mengmeng Jing; Lin Zuo (CoRR, 2025)

A Semantic-Enhanced Heterogeneous Graph Learning Method for Flexible Objects Recognition. - Kunshan Yang; Wenwei Luo; Yuguo Hu; Jiafu Yan; Mengmeng Jing; Lin Zuo (CoRR, 2025)

An Advanced Model Predictive Control Method Based on Discrete Space Vector Modulation for Reduced Switch Counts Three-Level Converter. - Mengmeng Jing; Zhiyuan Chen; Xiangyang Xing; Alian Chen; Chenghui Zhang; Frede Blaabjerg (IEEE Trans. Ind. Electron., 2025)

Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition. - Kunshan Yang; Lin Zuo; Mengmeng Jing; Xianlong Tian; Kunbin He; Yongqi Ding (IEEE Trans. Circuits Syst. Video Technol., 2025)