Tang, Hanlin

Communication Compression for Decentralized Training

Tang, H., Gan, S., Zhang, C., Zhang, T., & Liu, J. (2018) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 206

MLPerf Training Benchmark

Mattson, P., Cheng, C., Coleman, C., Diamos, G., Micikevicius, P., Patterson, D., Tang, H., Wei, G.-Y., Bailis, P., Bittorf, V., et al. (2019) · arXiv

Parallel Computing and Optimization TechniquesCloud Computing and Resource Management

Cited by 206

MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance

Mattson, P., Reddi, V. J., Cheng, C., Coleman, C., Diamos, G., Kanter, D., Micikevicius, P., Patterson, D., Schmuelling, G., Tang, H., et al. (2020) · IEEE Micro

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 171

ATRW: A Benchmark for Amur Tiger Re-identification in the Wild

Li, S., Li, J., Tang, H., Qian, R., & Lin, W. (2020) · Proceedings of the 28th ACM International Conference on Multimedia

Video Surveillance and Tracking MethodsHuman Pose and Action Recognition

Cited by 121

SpaceNet MVOI: A Multi-View Overhead Imagery Dataset

Weir, N., Lindenbaum, D., Bastidas, A., Etten, A., Kumar, V., Mcpherson, S., Shermeyer, J., & Tang, H. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Automated Road and Building ExtractionAdvanced Neural Network Applications

Cited by 95

Central Server Free Federated Learning over Single-sided Trust Social Networks

He, C., Tan, C., Tang, H., Qiu, S., & Liu, J. (2019) · arXiv

Privacy-Preserving Technologies in DataDistributed Control Multi-Agent Systems

Cited by 60

Distributed learning over unreliable networks

Yu, C., Tang, H., Renggli, C., Kassing, S., Singla, A., Alistarh, D., Zhang, C., & Liu, J. (2018) · arXiv

Stochastic Gradient Optimization TechniquesDistributed systems and fault tolerance

Cited by 45

Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks

Cambier, L., Bhiwandiwalla, A., Gong, T., Nekuii, M., Elibol, O. H., & Tang, H. (2020) · arXiv

Numerical Methods and AlgorithmsAdvanced Neural Network Applications

Cited by 23

Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend

Zhao, Y., Yu, C., Zhao, P., Tang, H., Qiu, S., & Liu, J. (2019) · arXiv

Advanced Bandit Algorithms ResearchPrivacy-Preserving Technologies in Data

Cited by 16

Implementing Generative AI Agent Game to Support Reading of Classical Chinese Literature: A Needs Analysis

Lin, H., Xiong, Z., Tang, H., Jiang, S., Wei, W., & Fang, K. (2024) · 2024 4th International Conference on Educational Technology (ICET)

Educational Games and GamificationArtificial Intelligence in Education

Cited by 2