Yihan Jiang

According to our database, Yihan Jiang authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DeepIC+: Learning Codes for Interference Channels.

Karl Chahine, Yihan Jiang, Joonyoung Cho, Hyeji Kim

IEEE Trans. Wirel. Commun., April, 2024

2023

Application of artificial neural network in daily prediction of bleeding in ICU patients treated with anti-thrombotic therapy.

Daonan Chen, Rui Wang, Yihan Jiang, Zijian Xing, Qiuyang Sheng, Xiaoqing Liu, Ruilan Wang, Hui Xie, Lina Zhao

BMC Medical Informatics Decis. Mak., December, 2023

Compressed Error HARQ: Feedback Communication on Noise-Asymmetric Channels.

Sravan Kumar Ankireddy, S. Ashwin Hebbar, Yihan Jiang, Pramod Viswanath, Hyeji Kim

Proceedings of the IEEE International Symposium on Information Theory, 2023

2022

Bottleneck Analysis of Dynamic Graph Neural Network Inference on CPU and GPU.

Hanqiu Chen, Yahya Alhinai, Yihan Jiang, Eunjee Na, Cong Hao

Proceedings of the IEEE International Symposium on Workload Characterization, 2022

Turbo Autoencoder with a Trainable Interleaver.

Karl Chahine, Yihan Jiang, Pooja Nuti, Hyeji Kim, Joonyoung Cho

Proceedings of the IEEE International Conference on Communications, 2022

2020

Targeting brain functions from the scalp: Transcranial brain atlas based on large-scale fMRI data synthesis.

Yihan Jiang, Zheng Li, Yang Zhao, Xiang Xiao, Wei Zhang, Peipei Sun, Yihong Yang, Chaozhe Zhu

NeuroImage, 2020

Deepcode: Feedback Codes via Deep Learning.

Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

IEEE J. Sel. Areas Inf. Theory, 2020

LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks.

Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

IEEE J. Sel. Areas Inf. Theory, 2020

Deepcode and Modulo-SK are Designed for Different Settings.

Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

CoRR, 2020

Joint Channel Coding and Modulation via Deep Learning.

Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Feedback Turbo Autoencoder.

Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sewoong Oh, Sreeram Kannan, Pramod Viswanath

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

BOAssembler: A Bayesian Optimization Framework to Improve RNA-Seq Assembly Performance.

Shunfu Mao, Yihan Jiang, Edwin Basil Mathew, Sreeram Kannan

Proceedings of the Algorithms for Computational Biology, 2020

2019

Improving Federated Learning Personalization via Model Agnostic Meta Learning.

Yihan Jiang, Jakub Konecný, Keith Rush, Sreeram Kannan

CoRR, 2019

DEEPTURBO: Deep Turbo Decoder.

Yihan Jiang, Sreeram Kannan, Hyeji Kim, Sewoong Oh, Himanshu Asnani, Pramod Viswanath

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

MIND: Model Independent Neural Decoder.

Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels.

Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Auditable zerocoin scheme with user awareness.

Yihan Jiang, Yong Li, Yan Zhu

Proceedings of the 3rd International Conference on Cryptography, Security and Privacy, 2019

2018

Communication Algorithms via Deep Learning.

Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

Proceedings of the 6th International Conference on Learning Representations, 2018