Design of InP Segmented-collector DHBTs with Reduced Collector Transit Time τc for Large Power Bandwidth Power Amplifiers. - Yihao Fang; Jonathan P. Sculley; Miguel E. Urteaga; Andy D. Carter; Paul D. Yoder; Mark J. W. Rodwell (DRC, 2018)

Logographic Subword Model for Neural Machine Translation. - Yihao Fang; Rong Zheng 001; Xiaodan Zhu 001 (CoRR, 2018)

Monte Carlo Investigation of Traveling Accumulation Layers in InP Heterojunction Bipolar Transistor Power Amplifiers. - Jonathan P. Sculley; Brian Markman; Utku Soylu; Yihao Fang; Miguel E. Urteaga; Andy D. Carter; Mark J. W. Rodwell; Paul D. Yoder (BCICTS, 2019)

$W_{e}=100 mathrm{nm}$ InP/lnGaAs DHBT with Self-aligned MOCVD Regrown p-GaAs Extrinsic Base Exhibiting $1 Omega- mu mathrm{m}^{2}$ Base Contact Resistivity. - Yihao Fang; Hsin-Ying Tseng; Mark J. W. Rodwell (DRC, 2019)

First Principles Study of Collector Transit Time Modulation in Double Heterojunction Bipolar Transistors. - Jonathan P. Sculley; Yihao Fang; Brian Markman; Miguel E. Urteaga; Andy D. Carter; Mark J. W. Rodwell; Paul D. Yoder (DRC, 2019)

InP MOSFETs Exhibiting Record 70 mV/dec Subthreshold Swing. - Hsin-Ying Tseng; Yihao Fang; Shibo Zhong; Mark J. W. Rodwell (DRC, 2019)

TeamNet: A Collaborative Inference Framework on the Edge. - Yihao Fang; Ziyi Jin; Rong Zheng 001 (ICDCS, 2019)

Optimization of Graph Neural Networks with Natural Gradient Descent. - Mohammad Rasool Izadi; Yihao Fang; Robert Stevenson; Lizhen Lin (IEEE BigData, 2020)

CacheNet: A Model Caching Framework for Deep Learning Inference on the Edge. - Yihao Fang; Shervin Manzuri Shalmani; Rong Zheng 001 (CoRR, 2020)

A 30-GHz CMOS SOI Outphasing Power Amplifier With Current Mode Combining for High Backoff Efficiency and Constant Envelope Operation. - Kang Ning 002; Yihao Fang; Navid Hosseinzadeh; James F. Buckwalter (IEEE J. Solid State Circuits, 2020)

Training Graph Neural Networks by Graphon Estimation. - Ziqing Hu; Yihao Fang; Lizhen Lin (IEEE BigData, 2021)

Transistors for 100-300GHz Wireless. - Mark J. W. Rodwell; Brian Markman; Yihao Fang; Logan Whitaker; Hsin-Ying Tseng; Ahmed S. H. Ahmed (ESSDERC, 2021)

Exploring Robustness of Prefix Tuning in Noisy Data: A Case Study in Financial Sentiment Analysis. - Sudhandar Balakrishnan; Yihao Fang; Xioadan Zhu (CoRR, 2022)

Extrinsic Bayesian Optimizations on Manifolds. - Yihao Fang; Mu Niu; Pokman Cheung; Lizhen Lin (CoRR, 2022)

Intrinsic and extrinsic deep learning on manifolds. - Yihao Fang; Ilsang Ohn; Vijay Gupta 001; Lizhen Lin (CoRR, 2023)

ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection. - Yihao Fang; Xianzhi Li; Stephen W. Thomas; Xiaodan Zhu 001 (CoRR, 2023)

Extrinsic Bayesian Optimization on Manifolds. - Yihao Fang; Mu Niu; Pokman Cheung; Lizhen Lin (Algorithms, 2023)

HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation. - Yihao Fang; Stephen W. Thomas; Xiaodan Zhu 001 (CoRR, 2024)

Associations between forest vertical structure and habitat preferences of black-and-white snub-nosed monkeys (Rhinopithecus bieti) in high-elevation environments. - Zhi-Pang Huang; Yuling Chen 005; Haitao Yang; Yihao Fang; Kai Cheng; Hongcan Guan; Cyril C. Grueter; Wen Xiao; Qinghua Guo 002 (Ecol. Informatics, 2025)