Zhou, Joey

Contrastive Clustering

Li, Y., Hu, P., Liu, Z., Peng, D., Zhou, J. T., & Peng, X. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Clustering Algorithms ResearchDomain Adaptation and Few-Shot Learning

Cited by 714

A deep learning framework for hybrid heterogeneous transfer learning

Zhou, J. T., Pan, S. J., & Tsang, I. W. (2019) · Artificial Intelligence

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 53

Transfer learning for cross-language text categorization through active correspondences construction

Zhou, J., Pan, S., Tsang, I., & Ho, S.-S. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence

Domain Adaptation and Few-Shot LearningText and Document Classification Technologies

Cited by 50

Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges

Liu, P., Tao, Q., & Zhou, J. T. (2024) · arXiv

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 6

Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Xie, T., Gao, Z., Ren, Q., Luo, H., Hong, Y., Dai, B., Zhou, J., Qiu, K., Wu, Z., & Luo, C. (2025) · arXiv

Topic ModelingLogic, Reasoning, and Knowledge

Cited by 6

Robust Deepfake Detection by Addressing Generalization and Trustworthiness Challenges: A Short Survey

Liu, P., Tao, Q., & Zhou, J. (2024) · Proceedings of the 1st ACM Multimedia Workshop on Multi-modal Misinformation Governance in the Era of Foundation Models

Digital Media Forensic DetectionAdversarial Robustness in Machine Learning

Cited by 3

One-shot Entropy Minimization

Gao, Z., Chen, L., Luo, H., Zhou, J., & Dai, B. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0