Yihan Jiang

According to our database, Yihan Jiang authored at least 27 papers between 2018 and 2026.

Collaborative distances:

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

2026

FinSafetyBench: Evaluating LLM Safety in Real-World Financial Scenarios.

Yutao Hou, Yihan Jiang, Yuhan Xie, Jian Yang, Liwen Zhang, Hailiang Huang, Guanhua Chen, Yun Chen

CoRR, May, 2026

AutoScout: Structured Optimization for Automating ML System Configuration.

Jimmy Shong, Yuhan Ding, Yihan Jiang, Liheng Jing, Haonan Chen, Gaokai Zhang, Aditya Akella, Fan Lai

CoRR, March, 2026

Fair AI in educational predictions: A multi-group fairness approach using reinforcement learning.

Fan Zhang, Wanli Xing, Chenglu Li, Yihan Jiang

Internet High. Educ., 2026

Exploring the Use of LLMs for Assessing Creativity in Student Programming Artifacts.

Zifeng Liu, Yihan Jiang, Wanli Xing

Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2, 2026

2025

Leveraging contrastive learning to improve group and individual fairness in predictive analytics for online learning.

Zifeng Liu, Wanli Xing, Yihan Jiang, Chenglu Li, Taehyun Kim, Hai Li

J. Comput. High. Educ., December, 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, Guanhua Chen

CoRR, June, 2025

Circinus: Efficient Query Planner for Compound ML Serving.

Banruo Liu, Wei-Yu Lin, Minghao Fang, Yihan Jiang, Fan Lai

CoRR, April, 2025

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, March, 2025

2024

DeepIC+: Learning Codes for Interference Channels.

Karl Chahine, Yihan Jiang, Joonyoung Cho, Hyeji Kim

IEEE Trans. Wirel. Commun., April, 2024

Influence Level Assessment in Suppressing the Spread of Undesirable Information in Online Social Networks.

Shan Liu, Yihan Jiang, Wangzhu Chen

Proceedings of the 17th International Congress on Image and Signal Processing, 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 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

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

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

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018

Deepcode: Feedback Codes via Deep Learning.

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

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 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