Zhekai Du - RankMe

41 papers A* 13A 1Journal 23Unranked 3

Year	Rank	Type	Title / 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