Wang, Keze

Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection

Wang, K., Yan, X., Zhang, D., Zhang, L., & Lin, L. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Machine Learning and AlgorithmsAdvanced Neural Network Applications

Cited by 127

A Deep Structured Model with Radius–Margin Bound for 3D Human Activity Recognition

Lin, L., Wang, K., Zuo, W., Wang, M., Luo, J., & Zhang, L. (2016) · International Journal of Computer Vision

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 104

Solving Inefficiency of Self-supervised Representation Learning

Wang, G., Wang, K., Wang, G., Torr, P. H. S., & Lin, L. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 65

Cost-Effective Object Detection: Active Sample Mining With Switchable Selection Criteria

Wang, K., Lin, L., Yan, X., Chen, Z., Zhang, D., & Zhang, L. (2019) · IEEE Transactions on Neural Networks and Learning Systems

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 38

Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs

Tang, Z., Wang, R., Chen, W., Zheng, Y., Chen, Z., Liu, Y., Wang, K., Chen, T., & Lin, L. (2023) · arXiv

Logic, Reasoning, and KnowledgeTopic Modeling

Cited by 4

DrDiff: Dynamic Routing Diffusion with Hierarchical Attention for Breaking the Efficiency-Quality Trade-off

Zhang, J., Fan, Y., Cai, K., Huang, Z., Sun, X., Wang, J., Tang, C., & Wang, K. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Generative Adversarial Networks and Image SynthesisTopic Modeling

Cited by 1