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2020 – today
- 2025
[i7]Zhekai Du, Yinjie Min, Jingjing Li, Ke Lu, Changliang Zou, Liuhua Peng, Tingjin Chu, Mingming Gong:
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning. CoRR abs/2502.06820 (2025)- 2024
- [b1]Jingjing Li, Lei Zhu, Zhekai Du:
Unsupervised Domain Adaptation - Recent Advances and Future Perspectives. Springer 2024, ISBN 978-981-97-1024-9, pp. 1-223 - [j11]Yang Yu, Zhekai Du, Lichao Meng, Jingjing Li
, Jiang Hu:
Adaptive online continual multi-view learning. Inf. Fusion 103: 102020 (2024) - [j10]Jingjing Li, Zhiqi Yu, Zhekai Du, Lei Zhu, Heng Tao Shen:
A Comprehensive Survey on Source-Free Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5743-5762 (2024) - [j9]Dan Zhang, Zhekai Du, Jingjing Li, Lei Zhu, Heng Tao Shen:
Domain-Adaptive Energy-Based Models for Generalizable Face Anti-Spoofing. IEEE Trans. Multim. 26: 10474-10488 (2024) - [j8]Hongzu Su, Jingjing Li, Zhekai Du, Lei Zhu, Ke Lu, Heng Tao Shen:
Cross-domain Recommendation via Dual Adversarial Adaptation. ACM Trans. Inf. Syst. 42(3): 83:1-83:26 (2024) - [c13]Xinyao Li, Yuke Li, Zhekai Du, Fengling Li, Ke Lu, Jingjing Li:
Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation. CVPR 2024: 23364-23374 - [c12]Zhekai Du, Xinyao Li, Fengling Li, Ke Lu, Lei Zhu, Jingjing Li:
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation. CVPR 2024: 23375-23384 - [i6]Zhekai Du, Xinyao Li, Fengling Li, Ke Lu, Lei Zhu, Jingjing Li:
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation. CoRR abs/2403.02899 (2024) - [i5]Xinyao Li, Yuke Li, Zhekai Du, Fengling Li, Ke Lu, Jingjing Li:
Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation. CoRR abs/2403.06946 (2024) - 2023
- [j7]Zhe Xiao, Zhekai Du, Chunwei Lou, Jingjing Li:
Alleviating the generalization issue in adversarial domain adaptation networks. Image Vis. Comput. 135: 104695 (2023) - [j6]Zhe Xiao, Zhekai Du, Ruijin Wang, Ruimeng Gan, Jingjing Li:
Online continual learning with declarative memory. Neural Networks 163: 146-155 (2023) - [c11]Hongzu Su, Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu:
Cross-Domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction. AAAI 2023: 4605-4613 - [c10]Ke Lu, Xiaotong He, Ze Qin, Xinyao Li, Zhekai Du:
Exploring Low-Dimensional Manifolds of Deep Neural Network Parameters for Improved Model Optimization. CIKM 2023: 1667-1676 - [c9]Zhiqi Yu, Jingjing Li, Zhekai Du, Fengling Li, Lei Zhu, Yang Yang:
Noise-Robust Continual Test-Time Domain Adaptation. ACM Multimedia 2023: 2654-2662 - [c8]Zhekai Du, Jingjing Li:
Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation. NeurIPS 2023 - [i4]Zhiqi Yu, Jingjing Li, Zhekai Du, Lei Zhu, Heng Tao Shen:
A Comprehensive Survey on Source-free Domain Adaptation. CoRR abs/2302.11803 (2023) - [i3]Jinghan Ru, Jun Tian, Zhekai Du, Chengwei Xiao, Jingjing Li, Heng Tao Shen:
Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual Alignment. CoRR abs/2303.04393 (2023) - 2022
- [j5]Jingjing Li, Zhekai Du, Lei Zhu, Zhengming Ding, Ke Lu, Heng Tao Shen:
Divergence-Agnostic Unsupervised Domain Adaptation by Adversarial Attacks. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8196-8211 (2022) - [j4]Ke Lu, Zhekai Du, Jingjing Li, Geyong Min:
Resource-Efficient Distributed Deep Neural Networks Empowered by Intelligent Software-Defined Networking. IEEE Trans. Netw. Serv. Manag. 19(4): 4069-4081 (2022) - [c7]Xinhao Li, Jingjing Li, Zhekai Du, Lei Zhu, Wen Li:
Interpretable Open-Set Domain Adaptation via Angular Margin Separation. ECCV (34) 2022: 1-18 - [c6]Jieyan Liu, Yi Liu, Zhekai Du, Ke Lu:
Towards Distributed Communication and Control in Real-World Multi-Agent Reinforcement Learning. ICC 2022: 4974-4979 - [c5]Zhekai Du, Jingjing Li, Lin Zuo, Lei Zhu, Ke Lu:
Energy-Based Domain Generalization for Face Anti-Spoofing. ACM Multimedia 2022: 1749-1757 - [c4]Xinyao Li, Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu:
Source-Free Active Domain Adaptation via Energy-Based Locality Preserving Transfer. ACM Multimedia 2022: 5802-5810 - 2021
- [j3]Dan Zhang, Jingjing Li, Xingpeng Li, Zhekai Du, Lin Xiong, Mao Ye:
Local-Global Attentive Adaptation for Object Detection. Eng. Appl. Artif. Intell. 100: 104208 (2021) - [j2]Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen:
Adversarial Energy Disaggregation. Trans. Data Sci. 2(4): 27:1-27:16 (2021) - [c3]Zhekai Du, Jingjing Li, Hongzu Su, Lei Zhu, Ke Lu:
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation. CVPR 2021: 3937-3946 - [c2]Zhekai Du, Jingjing Li, Ke Lu, Lei Zhu, Zi Huang:
Learning Transferrable and Interpretable Representations for Domain Generalization. ACM Multimedia 2021: 3340-3349 - [c1]Fengjie Xu, Chang-Hua Zhang, Zhongshu Chen, Zhekai Du, Lei Han, Lin Zuo:
CMRD-Net: An Improved Method for Underwater Image Enhancement. MMAsia 2021: 51:1-51:5 - [i2]Zhekai Du, Jingjing Li, Hongzu Su, Lei Zhu, Ke Lu:
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation. CoRR abs/2106.04151 (2021) - [i1]Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen:
Adversarial Energy Disaggregation for Non-intrusive Load Monitoring. CoRR abs/2108.01998 (2021) - 2020
- [j1]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)
Coauthor Index
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