Diagnosing network disruptions with network-wide analysis. - Yiyi Huang; Nick Feamster; Anukool Lakhina; Jun (Jim) Xu (SIGMETRICS, 2007)

Practical issues with using network tomography for fault diagnosis. - Yiyi Huang; Nick Feamster; Renata Teixeira (Comput. Commun. Rev., 2008)

Application and simulation of imaging Fabry-Perot interferometers to observe the upper atmosphere - Yiyi Huang (2012)

Design of dual-phase lock-in amplifier used for weak signal detection. - Chao Qi; Yiyi Huang; Wensheng Zhang; Di Zhou; Yanmin Wang; Min Zhu (IECON, 2016)

Jagged-time-step technique improving convergence order of Fernandez's Explicit Robin-Neumann scheme for the coupling of incompressible fluid with thin-walled structure. - Yiyi Huang (CoRR, 2020)

Multi-Task Deep Learning Based Spatiotemporal Arctic Sea Ice Forecasting. - Eliot Kim; Peter Kruse; Skylar Lama; Jamal Bourne; Michael Hu; Sahara Ali; Yiyi Huang; Jianwu Wang 001 (IEEE BigData, 2021)

A Generic Knowledge Based Medical Diagnosis Expert System. - Xin Huang 005; Xuejiao Tang; Wenbin Zhang 002; Ji Zhang 001; Mingli Zhang; Wensheng Gan; Shichao Pei; Zhen Liu 017; Yiyi Huang (iiWAS, 2021)

Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery. - Pei Guo; Yiyi Huang; Jianwu Wang 001 (Big Data Res., 2021)

LSTM Based Sentiment Analysis for Cryptocurrency Prediction. - Xin Huang 005; Wenbin Zhang 002; Yiyi Huang; Xuejiao Tang; Mingli Zhang; Jayachander Surbiryala; Vasileios Iosifidis; Zhen Liu 017; Ji Zhang 001 (CoRR, 2021)

Sea Ice Forecasting using Attention-based Ensemble LSTM. - Sahara Ali; Yiyi Huang; Xin Huang 005; Jianwu Wang 001 (CoRR, 2021)

A Generic Knowledge Based Medical Diagnosis Expert System. - Xin Huang 005; Xuejiao Tang; Wenbin Zhang 002; Shichao Pei; Ji Zhang 001; Wensheng Gan; Mingli Zhang; Zhen Liu 017; Ruijun Chen; Yiyi Huang (CoRR, 2021)

Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere. - Yiyi Huang; Matthäus Kleindessner; Alexey A. Munishkin; Debvrat Varshney; Pei Guo; Jianwu Wang 001 (Frontiers Big Data, 2021)

Downscaling Building Energy Consumption Carbon Emissions by Machine Learning. - Zhuoqun Zhao 002; Xuchao Yang; Han Yan; Yiyi Huang; Guoqin Zhang; Tao Lin 009; Hong Ye (Remote. Sens., 2021)

Exploring the Relationship between the Spatial Distribution of Different Age Populations and Points of Interest (POI) in China. - Yiyi Huang; Tao Lin 009; Guoqin Zhang; Wei Zhu; Nicholas A. S. Hamm; Yuqin Liu; Junmao Zhang; Xia Yao (ISPRS Int. J. Geo Inf., 2022)

Long-Term Spatiotemporal Characteristics and Impact Factors of Land Surface Temperature of Inhabited Islands with Different Urbanization Levels. - Junmao Zhang; Tao Lin 009; Caige Sun; Meixia Lin; Yulin Zhan; Yuan Chen; Hong Ye; Xia Yao; Yiyi Huang; Guoqin Zhang; Yuqin Liu (Remote. Sens., 2022)

Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference. - Sahara Ali; Omar Faruque; Yiyi Huang; Md. Osman Gani; Aneesh Subramanian; Nicole-Jeanne Schlegel; Jianwu Wang 001 (ICMLA, 2023)

InstructPipe: Building Visual Programming Pipelines with Human Instructions. - Zhongyi Zhou; Jing Jin; Vrushank Phadnis; Xiuxiu Yuan; Jun Jiang; Xun Qian; Jingtao Zhou; Yiyi Huang; Zheng Xu 002; Yinda Zhang 001; Kristen Wright; Jason Mayes; et al. (CoRR, 2023)

Experiencing InstructPipe: Building Multi-modal AI Pipelines via Prompting LLMs and Visual Programming. - Zhongyi Zhou; Jing Jin; Vrushank Phadnis; Xiuxiu Yuan; Jun Jiang; Xun Qian; Jingtao Zhou; Yiyi Huang; Zheng Xu 002; Yinda Zhang 001; Kristen Wright; Jason Mayes; et al. (CHI Extended Abstracts, 2024)

Causality for Earth Science - A Review on Time-series and Spatiotemporal Causality Methods. - Sahara Ali; Uzma Hasan; Xingyan Li; Omar Faruque; Akila Sampath; Yiyi Huang; Md. Osman Gani; Jianwu Wang 001 (CoRR, 2024)

Compositional Structures as Substrates for Human-AI Co-creation Environment: A Design Approach and A Case Study. - Yining Cao; Yiyi Huang; Anh Truong; Hijung Valentina Shin; Haijun Xia (CHI, 2025)

InstructPipe: Generating Visual Blocks Pipelines with Human Instructions and LLMs. - Zhongyi Zhou; Jing Jin; Vrushank Phadnis; Xiuxiu Yuan; Jun Jiang; Xun Qian; Kristen Wright; Mark Sherwood; Jason Mayes; Jingtao Zhou; Yiyi Huang; Zheng Xu 002; et al. (CHI, 2025)

Physics-informed causal learning network for fault diagnosis of rotating machinery under unseen operating conditions. - Yiyi Huang; Baoping Tang; Qichao Yang; Zhen Ming (Neurocomputing, 2025)