Kevin He

52 papers A* 9A 1B 1C 1Misc 1Journal 34Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
GenAI for Systems: Recurring Challenges and Design Principles from Software to Silicon.
CoRR
Arya Tschand, Chenyu Wang, Zishen Wan, Andrew Cheng, Ioana Cristescu, Kevin He, Howard Huang, Alexander Ingare, Akseli Kangaslahti, Sara Kangaslahti, Theo Lebryk, Hongjin Lin, Jeffrey Jian Ma, Alexandru Meterez, Clara Mohri, Depen Morwani, Sunny Qin, Roy Rinberg, Paula Rodriguez Diaz, Alyssa Mia Taliotis, Pernille Undrum Fathi, Rosie Zhao, Todd Zhou, Vijay Janapa Reddi
2025 J jnl
AI as a Teaching Partner: Early Lessons from Classroom Codesign with Secondary Teachers.
CoRR
Alex Liu, Lief Esbenshade, Shawon Sarkar, Zewei Tian, Min Sun, Zachary Zhang, Thomas Han, Yulia Lapicus, Kevin He
2025 J jnl
Controlled Social Learning: Altruism vs. Bias.
CoRR
Raghu Arghal, Kevin He, Shirin Saeedi Bidokhti, Saswati Sarkar
2025 — conf
DEMOTIC: A Differentiable Sampler for Multi-Level Digital Circuits.
ASP-DAC
Arash Ardakani, Minwoo Kang, Kevin He, Qijing Huang, Vighnesh M. Iyer, Suhong Moon, John Wawrzynek
2025 J jnl
DEMOTIC: A Differentiable Sampler for Multi-Level Digital Circuits.
CoRR
Arash Ardakani, Minwoo Kang, Kevin He, Qijing Huang, Vighnesh M. Iyer, Suhong Moon, John Wawrzynek
2025 J jnl
Decoding Instructional Dialogue: Human-AI Collaborative Analysis of Teacher Use of AI Tool at Scale.
CoRR
Alex Liu, Lief Esbenshade, Shawon Sarkar, Victor Tian, Zachary Zhang, Kevin He, Min Sun
2025 J jnl
Emerging Patterns of GenAI Use in K-12 Science and Mathematics Education.
CoRR
Lief Esbenshade, Shawon Sarkar, Drew Nucci, Ann Edwards, Sarah Nielsen, Joshua M. Rosenberg, Alex Liu, Zewei Tian, Min Sun, Zachary Zhang, Thomas Han, Yulia Lapicus, Kevin He
2025 A conf
High-Throughput SAT Sampling.
DATE
Arash Ardakani, Minwoo Kang, Kevin He, Qijing Huang, John Wawrzynek
2025 J jnl
High-Throughput SAT Sampling.
CoRR
Arash Ardakani, Minwoo Kang, Kevin He, Qijing Huang, John Wawrzynek
2025 A* conf
Human Misperception of Generative-AI Alignment: A Laboratory Experiment.
EC
Kevin He, Ran I. Shorrer, Mengjia Xia
2025 J jnl
Human Misperception of Generative-AI Alignment: A Laboratory Experiment.
CoRR
Kevin He, Ran I. Shorrer, Mengjia Xia
2025 J jnl
Implementation Considerations for Automated AI Grading of Student Work.
CoRR
Zewei Tian, Alex Liu, Lief Esbenshade, Shawon Sarkar, Zachary Zhang, Kevin He, Min Sun
2025 J jnl
Misspecified learning and evolutionary stability.
CoRR
Kevin He, Jonathan Libgober
2025 J jnl
Misspecified learning and evolutionary stability.
J. Econ. Theory
Kevin He, Jonathan Libgober
2025 — conf
Recurrent CircuitSAT Sampling for Sequential Circuits.
MLCAD
Arash Ardakani, Kevin He, John Wawrzynek
2025 J jnl
Recurrent CircuitSAT Sampling for Sequential Circuits.
CoRR
Arash Ardakani, Kevin He, John Wawrzynek
2025 J jnl
Training-Aware Risk Control for Intensity Modulated Radiation Therapies Quality Assurance with Conformal Prediction.
CoRR
Kevin He, David Adam, Sarah Han-Oh, Anqi Liu
2024 C conf
A Distributed Stealth Address Generation Protocol for Threshold Signatures.
ISPA
Yujue Wang, Lin Zhong, Jun Du, Yudi Zou, Kevin He, Andrew Zhang
2024 J jnl
Competing Risk Modeling with Bivariate Varying Coefficients to Understand the Dynamic Impact of COVID-19.
J. Comput. Graph. Stat.
Wenbo Wu, John D. Kalbfleisch, Jeremy M. G. Taylor, Jian Kang, Kevin He
2024 A* conf
Late Breaking Results: Differential and Massively Parallel Sampling of SAT Formulas.
DAC
Arash Ardakani, Minwoo Kang, Kevin He, Vighnesh M. Iyer, Suhong Moon, John Wawrzynek
2024 A* conf
Learning from Viral Content.
EC
Krishna Dasaratha, Kevin He
2024 — conf
Training-Aware Risk Control for Intensity Modulated Radiation Therapies Quality Assurance with Conformal Prediction.
ML4H@NeurIPS
Kevin He, David Adam, Sarah Han-Oh, Anqi Liu
2024 J jnl
surtvep: An R package for estimating time-varying effects.
J. Open Source Softw.
Lingfeng Luo, Wenbo Wu, Jeremy M. G. Taylor, Jian Kang, Michael J. Kleinsasser, Kevin He
2023 Misc conf
Direct Collocation for Quantum Optimal Control.
QCE
Aaron Trowbridge, Aditya Bhardwaj, Kevin He, David I. Schuster, Zachary Manchester
2023 B conf
Distributed Key Derivation for Multi-Party Management of Blockchain Digital Assets.
ICPADS
Lin Zhong, Yujue Wang, Yong Ding, Jun Du, Kevin He, Andrew Zhang
2023 — conf
Fast 2-out-of-n ECDSA Threshold Signature.
ISPA/BDCloud/SocialCom/SustainCom
Lin Zhong, Yujue Wang, Jun Du, Daji Liang, Ziyuan Zhong, Kevin He, Andrew Zhang
2022 J jnl
Learning from Viral Content.
CoRR
Krishna Dasaratha, Kevin He
2022 J jnl
Observability, dominance, and induction in learning models.
J. Econ. Theory
Daniel Clark, Drew Fudenberg, Kevin He
2022 A* conf
Private Private Information.
EC
Kevin He, Fedor Sandomirskiy, Omer Tamuz
2022 A* conf
Screening p-Hackers: Dissemination Noise as Bait.
EC
Federico Echenique, Kevin He
2021 J jnl
Advancement in predicting interactions between drugs used to treat psoriasis and its comorbidities by integrating molecular and clinical resources.
J. Am. Medical Informatics Assoc.
Matthew T. Patrick, Redina Bardhi, Kalpana Raja, Kevin He, Lam C. Tsoi
2021 A* conf
Aggregative Efficiency of Bayesian Learning in Networks.
EC
Krishna Dasaratha, Kevin He
2021 J jnl
An experiment on network density and sequential learning.
Games Econ. Behav.
Krishna Dasaratha, Kevin He
2021 J jnl
Cox-nnet v2.0: improved neural-network-based survival prediction extended to large-scale EMR data.
Bioinform.
Di Wang, Zheng Jing, Kevin He, Lana X. Garmire
2021 A* conf
Evolutionarily Stable (Mis)specifications: Theory and Applications.
EC
Kevin He, Jonathan Libgober
2021 — conf
Kullback-Leibler-Based Discrete Relative Risk Models for Integration of Published Prediction Models with New Dataset.
SPACA
Di Wang, Wen Ye, Kevin He
2021 J jnl
Network structure and social learning.
SIGecom Exch.
Krishna Dasaratha, Kevin He
2021 J jnl
Player-compatible learning and player-compatible equilibrium.
J. Econ. Theory
Drew Fudenberg, Kevin He
2021 J jnl
Private Private Information.
CoRR
Kevin He, Fedor Sandomirskiy, Omer Tamuz
2020 A* conf
An Experiment on Network Density and Sequential Learning.
EC
Krishna Dasaratha, Kevin He
2020 J jnl
Generalized linear mixed models with Gaussian mixture random effects: Inference and application.
J. Multivar. Anal.
Lanfeng Pan, Yehua Li, Kevin He, Yanming Li, Yi Li
2020 J jnl
Payoff information and learning in signaling games.
Games Econ. Behav.
Drew Fudenberg, Kevin He
2020 J jnl
SurvBoost: An R Package for High-Dimensional Variable Selection in the Stratified Proportional Hazards Model via Gradient Boosting.
R J.
Emily Morris, Kevin He, Yanming Li, Yi Li, Jian Kang
2019 J jnl
An Experiment on Network Density and Sequential Learning.
CoRR
Krishna Dasaratha, Kevin He
2019 J jnl
Covariance-insured screening.
Comput. Stat. Data Anal.
Kevin He, Jian Kang, Hyokyoung Grace Hong, Ji Zhu, Yanming Li, Huazhen Lin, Han Xu, Yi Li
2019 J jnl
Speed of Rational Social Learning in Networks with Gaussian Information.
CoRR
Krishna Dasaratha, Kevin He
2018 J jnl
Covariance-Insured Screening.
CoRR
Kevin He, Jian Kang, Hyokyoung Grace Hong, Ji Zhu, Yanming Li, Huazhen Lin, Han Xu, Yi Li
2018 J jnl
Mislearning from Censored Data: Gambler's Fallacy in a Search Problem.
CoRR
Kevin He
2017 J jnl
Network Structure and Naive Sequential Learning.
CoRR
Krishna Dasaratha, Kevin He
2016 J jnl
Classification with Ultrahigh-Dimensional Features.
CoRR
Yanming Li, Hyokyoung Grace Hong, Jian Kang, Kevin He, Ji Zhu, Yi Li
2016 J jnl
Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates.
Bioinform.
Kevin He, Yanming Li, Ji Zhu, Hongliang Liu, Jeffrey E. Lee, Christopher I. Amos, Terry Hyslop, Jiashun Jin, Huazhen Lin, Qinyi Wei, Yi Li
2014 A* conf
Differentially private and incentive compatible recommendation system for the adoption of network goods.
EC
Kevin He, Xiaosheng Mu