Communication Algorithms via Deep Learning. - Hyeji Kim; Yihan Jiang; Ranvir Rana; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (ICLR (Poster), 2018)

Auditable zerocoin scheme with user awareness. - Yihan Jiang; Yong Li 002; Yan Zhu 010 (ICCSP, 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 (NeurIPS, 2019)

MIND: Model Independent Neural Decoder. - Yihan Jiang; Hyeji Kim; Himanshu Asnani; Sreeram Kannan (SPAWC, 2019)

DEEPTURBO: Deep Turbo Decoder. - Yihan Jiang; Sreeram Kannan; Hyeji Kim; Sewoong Oh; Himanshu Asnani; Pramod Viswanath (SPAWC, 2019)

Improving Federated Learning Personalization via Model Agnostic Meta Learning. - Yihan Jiang; Jakub Konecný; Keith Rush; Sreeram Kannan (CoRR, 2019)

BOAssembler: A Bayesian Optimization Framework to Improve RNA-Seq Assembly Performance. - Shunfu Mao; Yihan Jiang; Edwin Basil Mathew; Sreeram Kannan (AlCoB, 2020)

Feedback Turbo Autoencoder. - Yihan Jiang; Hyeji Kim; Himanshu Asnani; Sewoong Oh; Sreeram Kannan; Pramod Viswanath (ICASSP, 2020)

Joint Channel Coding and Modulation via Deep Learning. - Yihan Jiang; Hyeji Kim; Himanshu Asnani; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (SPAWC, 2020)

Deepcode and Modulo-SK are Designed for Different Settings. - Hyeji Kim; Yihan Jiang; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (CoRR, 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: Feedback Codes via Deep Learning. - Hyeji Kim; Yihan Jiang; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (IEEE J. Sel. Areas Inf. Theory, 2020)

Targeting brain functions from the scalp: Transcranial brain atlas based on large-scale fMRI data synthesis. - Yihan Jiang; Zheng Li 004; Yang Zhao; Xiang Xiao; Wei Zhang; Peipei Sun; Yihong Yang; Chaozhe Zhu (NeuroImage, 2020)

Turbo Autoencoder with a Trainable Interleaver. - Karl Chahine; Yihan Jiang; Pooja Nuti; Hyeji Kim; Joonyoung Cho (ICC, 2022)

Bottleneck Analysis of Dynamic Graph Neural Network Inference on CPU and GPU. - Hanqiu Chen; Yahya Alhinai; Yihan Jiang; Eunjee Na; Cong Hao (IISWC, 2022)

Compressed Error HARQ: Feedback Communication on Noise-Asymmetric Channels. - Sravan Kumar Ankireddy; S. Ashwin Hebbar; Yihan Jiang; Pramod Viswanath; Hyeji Kim (ISIT, 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., 2023)

Influence Level Assessment in Suppressing the Spread of Undesirable Information in Online Social Networks. - Shan Liu; Yihan Jiang; Wangzhu Chen (CISP-BMEI, 2024)

DeepIC+: Learning Codes for Interference Channels. - Karl Chahine; Yihan Jiang; Joonyoung Cho; Hyeji Kim (IEEE Trans. Wirel. Commun., 2024)

Open Deep Search: Democratizing Search with Open-source Reasoning Agents. - Salaheddin Alzubi; Creston Brooks; Purva Chiniya; Edoardo Contente; Chiara von Gerlach; Lucas Irwin; Yihan Jiang; Arda Kaz; Windsor Nguyen; Sewoong Oh; Himanshu Tyagi; Pramod Viswanath (CoRR, 2025)

Circinus: Efficient Query Planner for Compound ML Serving. - Banruo Liu; Wei-Yu Lin; Minghao Fang; Yihan Jiang; Fan Lai (CoRR, 2025)

Automatic Robustness Stress Testing of LLMs as Mathematical Problem Solvers. - Yutao Hou; Zeguan Xiao; Fei Yu; Yihan Jiang; Xuetao Wei; Hailiang Huang; Yun Chen 007; Guanhua Chen 001 (CoRR, 2025)