Huaxiu Yao

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Zhenhui Jessie LiYunqi Academy of EngineeringE-mail confirmado em illinois.edu
Chelsea FinnStanford University, Physical IntelligenceE-mail confirmado em cs.stanford.edu
Yiyang ZhouPh.D. Student, UNC Chapel Hill CSE-mail confirmado em cs.unc.edu
James ZouStanford UniversityE-mail confirmado em stanford.edu
Linjun ZhangAssociate Professor of Statistics, Rutgers UniversityE-mail confirmado em rutgers.edu
Zhaorun ChenPh.D. Student, UChicago CSE-mail confirmado em uchicago.edu
Yoonho LeePhD Student, Stanford UniversityE-mail confirmado em stanford.edu
Mohit BansalParker Distinguished Professor, Computer Science, UNC Chapel HillE-mail confirmado em cs.unc.edu
Jaehong YoonPostdoc, UNC Chapel HillE-mail confirmado em cs.unc.edu
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityE-mail confirmado em stanford.edu
Eric Anthony MitchellPhD Candidate, Stanford UniversityE-mail confirmado em stanford.edu
Peng XiaPhD student, Department of Computer Science, UNC Chapel HillE-mail confirmado em cs.unc.edu
Wenhao ZhengThe University of North Carolina at Chapel HillE-mail confirmado em unc.edu
Zhaoyang WangUniversity of North Carolina at Chapel HillE-mail confirmado em cs.unc.edu
Ananya KumarResearch Scientist, OpenAIE-mail confirmado em cs.stanford.edu
Cihang XieAssistant Professor, University of California, Santa CruzE-mail confirmado em ucsc.edu
Allan ZhouGoogle DeepMindE-mail confirmado em stanford.edu
Zhun DengAssistant Professor, CS@UNC Chapel HillE-mail confirmado em unc.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityE-mail confirmado em cs.stanford.edu
Hongtu ZhuProfessor of Biostatistics, The University of North Carolina at Chapel HillE-mail confirmado em email.unc.edu

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Huaxiu Yao

Assistant Professor of Computer Science and Data Science, UNC Chapel Hill

E-mail confirmado em cs.unc.edu - Página inicial

Machine Learning Foundation Models AI Alignment Multimodal AI Robot Learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction H Yao, F Wu, J Ke, X Tang, Y Jia, S Lu, P Gong, J Ye, Z Li AAAI Conference on Artificial Intelligence (AAAI), 2018	1395	2018
Holistic evaluation of language models P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ... Transactions on Machine Learning Research (TMLR Outstanding Paper), 2023	1286	2023
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction H Yao, X Tang, H Wei, G Zheng, Z Li AAAI Conference on Artificial Intelligence (AAAI), 2019	1064*	2019
Intellilight: A reinforcement learning approach for intelligent traffic light control H Wei, G Zheng, H Yao, Z Li ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD), 2496-2505, 2018	765	2018
Position: TrustLLM: Trustworthiness in Large Language Models Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ... International Conference on Machine Learning (ICML), 2024	317*	2024
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction H Yao, Y Liu, Y Wei, X Tang, Z Li The World Wide Web Conference (WWW), 2181-2191, 2019	267	2019
Hierarchically Structured Meta-learning H Yao, Y Wei, J Huang, Z Li International Conference on Machine Learning (ICML), 7045-7054, 2019	263	2019
Just ask for calibration: Strategies for eliciting calibrated confidence scores from language models fine-tuned with human feedback K Tian, E Mitchell, A Zhou, A Sharma, R Rafailov, H Yao, C Finn, ... Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023	248	2023
Few-Shot Knowledge Graph Completion C Zhang, H Yao, C Huang, M Jiang, Z Li, NV Chawla AAAI Conference on Artificial Intelligence (AAAI), 2020	241	2020
Surgical fine-tuning improves adaptation to distribution shifts Y Lee, AS Chen, F Tajwar, A Kumar, H Yao, P Liang, C Finn International Conference on Learning Representations (ICLR), 2023	208	2023
Improving Out-of-Distribution Robustness via Selective Augmentation H Yao, Y Wang, S Li, L Zhang, W Liang, J Zou, C Finn International Conference on Machine Learning (ICML), 25407-25437, 2022	206	2022
Transferring Robustness for Graph Neural Network Against Poisoning Attacks X Tang, Y Li, Y Sun, H Yao, P Mitra, S Wang ACM International Conference on Web Search and Data Mining (WSDM), 2020	205*	2020
Graph Few-shot Learning via Knowledge Transfer H Yao, C Zhang, Y Wei, M Jiang, S Wang, J Huang, NV Chawla, Z Li AAAI Conference on Artificial Intelligence (AAAI), 2020	202	2020
MetaLight: Value-based Meta-reinforcement Learning for Traffic Signal Control X Zang, H Yao, G Zheng, N Xu, K Xu, Z Li AAAI Conference on Artificial Intelligence (AAAI), 2020	201	2020
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Y Zhou, C Cui, J Yoon, L Zhang, Z Deng, C Finn, M Bansal, H Yao International Conference on Learning Representations (ICLR), 2024	197	2024
Investigating and Mitigating Degree-Related Biases in Graph Convolutional Networks X Tang, H Yao, Y Sun, Y Wang, J Tang, C Aggarwal, P Mitra, S Wang ACM International Conference on Information and Knowledge Management (CIKM), 2020	164	2020
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values X Tang, H Yao, Y Sun, C Aggarwal, P Mitra, S Wang AAAI Conference on Artificial Intelligence (AAAI), 2020	156	2020
Fine-tuning language models for factuality K Tian, E Mitchell, H Yao, CD Manning, C Finn International Conference on Learning Representations (ICLR), 2024	147	2024
Automated Relational Meta-learning H Yao, X Wu, Z Tao, Y Li, B Ding, R Li, Z Li International Conference on Learning Representations (ICLR), 2020	117	2020
Orderliness predicts academic performance: Behavioural analysis on campus lifestyle Y Cao, J Gao, D Lian, Z Rong, J Shi, Q Wang, Y Wu, H Yao, T Zhou Journal of the Royal Society Interface 15 (146), 2018	114	2018

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