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Huaxiu Yao
Huaxiu Yao
Assistant Professor of Computer Science and Data Science, UNC Chapel Hill
Verified email at cs.unc.edu - Homepage
Title
Cited by
Cited by
Year
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
12392018
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
932*2019
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 Featured), 2023
8232023
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
6572018
Hierarchically Structured Meta-learning
H Yao, Y Wei, J Huang, Z Li
International Conference on Machine Learning (ICML), 7045-7054, 2019
2472019
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
2312019
Few-Shot Knowledge Graph Completion
C Zhang, H Yao, C Huang, M Jiang, Z Li, NV Chawla
AAAI Conference on Artificial Intelligence (AAAI), 2020
2002020
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
176*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
1732020
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
1612022
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
1612020
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
1452023
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
1392020
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
1302020
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
1102018
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
1072020
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
1062023
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, ...
Forty-first International Conference on Machine Learning, 2024
103*2024
Improving Generalization in Meta-learning via Task Augmentation
H Yao, L Huang, L Zhang, Y Wei, L Tian, J Zou, J Huang, Z Li
International Conference on Machine Learning (ICML), 2021
872021
Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement
Y Lee, H Yao, C Finn
International Conference on Learning Representations (ICLR), 2023
82*2023
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