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)

Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation. - Zhekai Du; Jingjing Li 001; Hongzu Su; Lei Zhu 002; Ke Lu 001 (CVPR, 2021)

Learning Transferrable and Interpretable Representations for Domain Generalization. - Zhekai Du; Jingjing Li 001; Ke Lu 001; Lei Zhu 002; Zi Huang (ACM Multimedia, 2021)

CMRD-Net: An Improved Method for Underwater Image Enhancement. - Fengjie Xu; Chang-Hua Zhang; Zhongshu Chen; Zhekai Du; Lei Han; Lin Zuo (MMAsia, 2021)

Adversarial Energy Disaggregation for Non-intrusive Load Monitoring. - Zhekai Du; Jingjing Li 001; Lei Zhu 002; Ke Lu 001; Heng Tao Shen (CoRR, 2021)

Local-Global Attentive Adaptation for Object Detection. - Dan Zhang; Jingjing Li 001; Xingpeng Li; Zhekai Du; Lin Xiong; Mao Ye 001 (Eng. Appl. Artif. Intell., 2021)

Adversarial Energy Disaggregation. - Zhekai Du; Jingjing Li 001; Lei Zhu 002; Ke Lu 001; Heng Tao Shen (Trans. Data Sci., 2021)

Interpretable Open-Set Domain Adaptation via Angular Margin Separation. - Xinhao Li 002; Jingjing Li 001; Zhekai Du; Lei Zhu 002; Wen Li 001 (ECCV (34), 2022)

Towards Distributed Communication and Control in Real-World Multi-Agent Reinforcement Learning. - Jieyan Liu; Yi Liu; Zhekai Du; Ke Lu 001 (ICC, 2022)

Energy-Based Domain Generalization for Face Anti-Spoofing. - Zhekai Du; Jingjing Li 001; Lin Zuo; Lei Zhu 002; Ke Lu 001 (ACM Multimedia, 2022)

Source-Free Active Domain Adaptation via Energy-Based Locality Preserving Transfer. - Xinyao Li; Zhekai Du; Jingjing Li 001; Lei Zhu 002; Ke Lu 001 (ACM Multimedia, 2022)

Divergence-Agnostic Unsupervised Domain Adaptation by Adversarial Attacks. - Jingjing Li 001; Zhekai Du; Lei Zhu 002; Zhengming Ding; Ke Lu 001; Heng Tao Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Resource-Efficient Distributed Deep Neural Networks Empowered by Intelligent Software-Defined Networking. - Ke Lu 001; Zhekai Du; Jingjing Li 001; Geyong Min (IEEE Trans. Netw. Serv. Manag., 2022)

Cross-Domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction. - Hongzu Su; Zhekai Du; Jingjing Li 001; Lei Zhu 002; Ke Lu 001 (AAAI, 2023)

Exploring Low-Dimensional Manifolds of Deep Neural Network Parameters for Improved Model Optimization. - Ke Lu 001; Xiaotong He; Ze Qin; Xinyao Li; Zhekai Du (CIKM, 2023)

Noise-Robust Continual Test-Time Domain Adaptation. - Zhiqi Yu; Jingjing Li 001; Zhekai Du; Fengling Li 001; Lei Zhu 002; Yang Yang 002 (ACM Multimedia, 2023)

Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation. - Zhekai Du; Jingjing Li 001 (NeurIPS, 2023)

Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual Alignment. - Jinghan Ru; Jun Tian; Zhekai Du; Chengwei Xiao; Jingjing Li 001; Heng Tao Shen (CoRR, 2023)

Alleviating the generalization issue in adversarial domain adaptation networks. - Zhe Xiao; Zhekai Du; Chunwei Lou; Jingjing Li 001 (Image Vis. Comput., 2023)

Online continual learning with declarative memory. - Zhe Xiao; Zhekai Du; Ruijin Wang; Ruimeng Gan; Jingjing Li 001 (Neural Networks, 2023)

Unsupervised Domain Adaptation - Recent Advances and Future Perspectives - Jingjing Li; Lei Zhu; Zhekai Du (Springer, 2024)

Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation. - Zhekai Du; Xinyao Li; Fengling Li 001; Ke Lu 001; Lei Zhu 002; Jingjing Li 001 (CVPR, 2024)

Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation. - Xinyao Li; Yuke Li; Zhekai Du; Fengling Li 001; Ke Lu 001; Jingjing Li 001 (CVPR, 2024)

Domain-Adaptive Energy-Based Models for Generalizable Face Anti-Spoofing. - Dan Zhang; Zhekai Du; Jingjing Li 001; Lei Zhu 002; Heng Tao Shen (IEEE Trans. Multim., 2024)

Adaptive online continual multi-view learning. - Yang Yu; Zhekai Du; Lichao Meng; Jingjing Li 001; Jiang Hu (Inf. Fusion, 2024)

Cross-domain Recommendation via Dual Adversarial Adaptation. - Hongzu Su; Jingjing Li 001; Zhekai Du; Lei Zhu 002; Ke Lu 001; Heng Tao Shen (ACM Trans. Inf. Syst., 2024)

A Comprehensive Survey on Source-Free Domain Adaptation. - Jingjing Li 001; Zhiqi Yu; Zhekai Du; Lei Zhu 002; Heng Tao Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning. - Zhekai Du; Yinjie Min; Jingjing Li; Ke Lu; Changliang Zou; Liuhua Peng; Tingjin Chu; Mingming Gong (ICLR, 2025)

Unified modality separation: A vision-language framework for unsupervised domain adaptation. - Xinyao Li; Jingjing Li 001; Zhekai Du; Lei Zhu 002; Heng Tao Shen (CoRR, 2025)

Fourier-Based Frequency Space Disentanglement and Augmentation for Generalizable Face Anti-Spoofing. - Yang Yu; Zhekai Du; Heng Luo; Chengwei Xiao; Jiang Hu (IEEE J. Biomed. Health Informatics, 2025)