Chen, Bo

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Howard, A. G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Andreetto, M., & Adam, H. (2017) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 19,015

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

Jacob, B., Kligys, S., Chen, B., Zhu, M., Tang, M., Howard, A., Adam, H., & Kalenichenko, D. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 4,114

How Can Recommender Systems Benefit from Large Language Models: A Survey

Lin, J., Dai, X., Xi, Y., Liu, W., Chen, B., Zhang, H., Liu, Y., Wu, C., Li, X., Zhu, C., et al. (2025) · ACM Transactions on Information Systems

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 242

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators

Xiong, Y., Liu, H., Gupta, S., Akin, B., Bender, G., Wang, Y., Kindermans, P.-J., Tan, M., Singh, V., & Chen, B. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 193

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey

Zhu, J., Zhu, M., Rui, R., Shan, R., Zheng, C., Chen, B., Xi, Y., Lin, J., Liu, W., Tang, R., et al. (2025) · arXiv

Speech and dialogue systemsArtificial Intelligence Applications

Cited by 0