Zhang, Aston

DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing

Yao, S., Hu, S., Zhao, Y., Zhang, A., & Abdelzaher, T. (2017) · Proceedings of the 26th International Conference on World Wide Web

Context-Aware Activity Recognition SystemsInertial Sensor and Navigation

Cited by 667

Automatic Chain of Thought Prompting in Large Language Models

Zhang, Z., Zhang, A., Li, M., & Smola, A. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 274

DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework

Yao, S., Zhao, Y., Zhang, A., Su, L., & Abdelzaher, T. (2017) · Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 188

Text Style Transfer: A Review and Experimental Evaluation

Hu, Z., Lee, R. K.-W., Aggarwal, C. C., & Zhang, A. (2022) · ACM SIGKDD Explorations Newsletter

Authorship Attribution and ProfilingTopic Modeling

Cited by 54

SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework

Yao, S., Zhao, Y., Shao, H., Zhang, C., Zhang, A., Hu, S., Liu, D., Liu, S., Su, L., & Abdelzaher, T. (2018) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 54

Let's (not) just put things in Context: Test-Time Training for Long-Context LLMs

Bansal, R., Zhang, A., Tiwari, R., Madaan, L., Duvvuri, S. S., Khatri, D., Brandfonbrener, D., Alvarez-Melis, D., Bhargava, P., Kale, M. S., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0