Chen, Zhuo

Towards wearable cognitive assistance

Ha, K., Chen, Z., Hu, W., Richter, W., Pillai, P., & Satyanarayanan, M. (2014) · Proceedings of the 12th annual international conference on Mobile systems, applications, and services

Context-Aware Activity Recognition SystemsIoT and Edge/Fog Computing

Cited by 476

Edge analytics in the internet of things

Satyanarayanan, M., Simoens, P., Xiao, Y., Pillai, P., Chen, Z., Ha, K., Hu, W., & Amos, B. (2015) · IEEE Pervasive Computing

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 430

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Wang, C., Chen, S., Wu, Y., Zhang, Z., Zhou, L., Liu, S., Chen, Z., Liu, Y., Wang, H., Li, J., et al. (2023) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 250

An empirical study of latency in an emerging class of edge computing applications for wearable cognitive assistance

Chen, Z., Hu, W., Wang, J., Zhao, S., Amos, B., Wu, G., Ha, K., Elgazzar, K., Pillai, P., Klatzky, R., et al. (2017) · Proceedings of the Second ACM/IEEE Symposium on Edge Computing

IoT and Edge/Fog ComputingContext-Aware Activity Recognition Systems

Cited by 213

Quantifying the Impact of Edge Computing on Mobile Applications

Hu, W., Gao, Y., Ha, K., Wang, J., Amos, B., Chen, Z., Pillai, P., & Satyanarayanan, M. (2016) · Proceedings of the 7th ACM SIGOPS Asia-Pacific Workshop on Systems

IoT and Edge/Fog ComputingMobile and Web Applications

Cited by 171

Cloudlets: at the Leading Edge of Mobile-Cloud Convergence

Satyanarayanan, M., Chen, Z., Ha, K., Hu, W., Richter, W., & Pillai, P. (2014) · Proceedings of the 6th International Conference on Mobile Computing, Applications and Services

IoT and Edge/Fog ComputingCloud Computing and Remote Desktop Technologies

Cited by 165

MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Ma, Z., Ma, Y., Zhu, Y., Yang, C., Chao, Y.-W., Xu, R., Chen, W., Chen, Y., Chen, Z., Cong, J., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsMusic and Audio Processing

Cited by 4