Zhekai Du

41 papers A* 13A 1Journal 23Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
FAST: Foreground-aware active self-training for domain adaptive object detection.
Neural Networks
Dan Zhang, Hongmin Deng, Hailin Wang, Zhekai Du, Guisong Liu, Jingjing Li, Mao Ye
2026 A* conf
Generalizing Vision-Language Models with Dedicated Prompt Guidance.
AAAI
Xinyao Li, Yinjie Min, Hongbo Chen, Zhekai Du, Fengling Li, Jingjing Li
2026 A* conf
Sharpness-Consistent Cross-Domain Recommendation for Cold-Start Items.
WWW
Ke Fei, Jingjing Li, Zhekai Du, Hongbo Chen
2025 J jnl
Fourier-Based Frequency Space Disentanglement and Augmentation for Generalizable Face Anti-Spoofing.
IEEE J. Biomed. Health Informatics
Yang Yu, Zhekai Du, Heng Luo, Chengwei Xiao, Jiang Hu
2025 J jnl
Generalizing Vision-Language Models with Dedicated Prompt Guidance.
CoRR
Xinyao Li, Yinjie Min, Hongbo Chen, Zhekai Du, Fengling Li, Jingjing Li
2025 A* conf
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning.
ICLR
Zhekai Du, Yinjie Min, Jingjing Li, Ke Lu, Changliang Zou, Liuhua Peng, Tingjin Chu, Mingming Gong
2025 J jnl
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning.
CoRR
Zhekai Du, Yinjie Min, Jingjing Li, Ke Lu, Changliang Zou, Liuhua Peng, Tingjin Chu, Mingming Gong
2025 A* conf
PatAug: Augmentation of Augmentation for Test-Time Adaptation.
ACM Multimedia
Xinyao Li, Dan Zhang, Zhekai Du, Lei Zhu, Zhi Chen, Jingjing Li
2025 J jnl
Unified Modality Separation: A Vision-Language Framework for Unsupervised Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
Xinyao Li, Jingjing Li, Zhekai Du, Lei Zhu, Heng Tao Shen
2025 J jnl
Unified modality separation: A vision-language framework for unsupervised domain adaptation.
CoRR
Xinyao Li, Jingjing Li, Zhekai Du, Lei Zhu, Heng Tao Shen
2024 J jnl
A Comprehensive Survey on Source-Free Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
Jingjing Li, Zhiqi Yu, Zhekai Du, Lei Zhu, Heng Tao Shen
2024 J jnl
Adaptive online continual multi-view learning.
Inf. Fusion
Yang Yu, Zhekai Du, Lichao Meng, Jingjing Li, Jiang Hu
2024 J jnl
Cross-domain Recommendation via Dual Adversarial Adaptation.
ACM Trans. Inf. Syst.
Hongzu Su, Jingjing Li, Zhekai Du, Lei Zhu, Ke Lu, Heng Tao Shen
2024 J jnl
Domain-Adaptive Energy-Based Models for Generalizable Face Anti-Spoofing.
IEEE Trans. Multim.
Dan Zhang, Zhekai Du, Jingjing Li, Lei Zhu, Heng Tao Shen
2024 A* conf
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation.
CVPR
Zhekai Du, Xinyao Li, Fengling Li, Ke Lu, Lei Zhu, Jingjing Li
2024 J jnl
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation.
CoRR
Zhekai Du, Xinyao Li, Fengling Li, Ke Lu, Lei Zhu, Jingjing Li
2024 A* conf
Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation.
CVPR
Xinyao Li, Yuke Li, Zhekai Du, Fengling Li, Ke Lu, Jingjing Li
2024 J jnl
Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation.
CoRR
Xinyao Li, Yuke Li, Zhekai Du, Fengling Li, Ke Lu, Jingjing Li
2024 — book
Unsupervised Domain Adaptation - Recent Advances and Future Perspectives
Jingjing Li, Lei Zhu, Zhekai Du
2023 J jnl
A Comprehensive Survey on Source-free Domain Adaptation.
CoRR
Zhiqi Yu, Jingjing Li, Zhekai Du, Lei Zhu, Heng Tao Shen
2023 J jnl
Alleviating the generalization issue in adversarial domain adaptation networks.
Image Vis. Comput.
Zhe Xiao, Zhekai Du, Chunwei Lou, Jingjing Li
2023 A* conf
Cross-Domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction.
AAAI
Hongzu Su, Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu
2023 A* conf
Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation.
NeurIPS
Zhekai Du, Jingjing Li
2023 A conf
Exploring Low-Dimensional Manifolds of Deep Neural Network Parameters for Improved Model Optimization.
CIKM
Ke Lu, Xiaotong He, Ze Qin, Xinyao Li, Zhekai Du
2023 J jnl
Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual Alignment.
CoRR
Jinghan Ru, Jun Tian, Zhekai Du, Chengwei Xiao, Jingjing Li, Heng Tao Shen
2023 A* conf
Noise-Robust Continual Test-Time Domain Adaptation.
ACM Multimedia
Zhiqi Yu, Jingjing Li, Zhekai Du, Fengling Li, Lei Zhu, Yang Yang
2023 J jnl
Online continual learning with declarative memory.
Neural Networks
Zhe Xiao, Zhekai Du, Ruijin Wang, Ruimeng Gan, Jingjing Li
2022 J jnl
Divergence-Agnostic Unsupervised Domain Adaptation by Adversarial Attacks.
IEEE Trans. Pattern Anal. Mach. Intell.
Jingjing Li, Zhekai Du, Lei Zhu, Zhengming Ding, Ke Lu, Heng Tao Shen
2022 A* conf
Energy-Based Domain Generalization for Face Anti-Spoofing.
ACM Multimedia
Zhekai Du, Jingjing Li, Lin Zuo, Lei Zhu, Ke Lu
2022 — conf
Interpretable Open-Set Domain Adaptation via Angular Margin Separation.
ECCV (34)
Xinhao Li, Jingjing Li, Zhekai Du, Lei Zhu, Wen Li
2022 J jnl
Resource-Efficient Distributed Deep Neural Networks Empowered by Intelligent Software-Defined Networking.
IEEE Trans. Netw. Serv. Manag.
Ke Lu, Zhekai Du, Jingjing Li, Geyong Min
2022 A* conf
Source-Free Active Domain Adaptation via Energy-Based Locality Preserving Transfer.
ACM Multimedia
Xinyao Li, Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu
2022 — conf
Towards Distributed Communication and Control in Real-World Multi-Agent Reinforcement Learning.
ICC
Jieyan Liu, Yi Liu, Zhekai Du, Ke Lu
2021 J jnl
Adversarial Energy Disaggregation for Non-intrusive Load Monitoring.
CoRR
Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen
2021 J jnl
Adversarial Energy Disaggregation.
Trans. Data Sci.
Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen
2021 — conf
CMRD-Net: An Improved Method for Underwater Image Enhancement.
MMAsia
Fengjie Xu, Chang-Hua Zhang, Zhongshu Chen, Zhekai Du, Lei Han, Lin Zuo
2021 A* conf
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation.
CVPR
Zhekai Du, Jingjing Li, Hongzu Su, Lei Zhu, Ke Lu
2021 J jnl
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation.
CoRR
Zhekai Du, Jingjing Li, Hongzu Su, Lei Zhu, Ke Lu
2021 A* conf
Learning Transferrable and Interpretable Representations for Domain Generalization.
ACM Multimedia
Zhekai Du, Jingjing Li, Ke Lu, Lei Zhu, Zi Huang
2021 J jnl
Local-Global Attentive Adaptation for Object Detection.
Eng. Appl. Artif. Intell.
Dan Zhang, Jingjing Li, Xingpeng Li, Zhekai Du, Lin Xiong, Mao Ye
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