| 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 | 1074 | 2018 |
| 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 | 804* | 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 | 575 | 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 Featured), 2023 | 322 | 2023 |
| Hierarchically Structured Meta-learning H Yao, Y Wei, J Huang, Z Li International Conference on Machine Learning (ICML), 7045-7054, 2019 | 225 | 2019 |
| 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 | 197 | 2019 |
| Few-Shot Knowledge Graph Completion C Zhang, H Yao, C Huang, M Jiang, Z Li, NV Chawla AAAI Conference on Artificial Intelligence (AAAI), 2020 | 161 | 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 | 147 | 2020 |
| 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 | 145* | 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 | 133 | 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 | 101 | 2020 |
| 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 | 95 | 2020 |
| 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 | 91 | 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 | 90 | 2018 |
| 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 | 82 | 2022 |
| 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 | 73 | 2021 |
| Predicting Academic Performance for College Students: A Campus Behavior Perspective H Yao, D Lian, Y Cao, Y Wu, T Zhou ACM Transactions on Intelligent Systems and Technology (TIST) 10 (3), 21, 2019 | 64 | 2019 |
| 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 | 57 | 2023 |
| Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement Y Lee, H Yao, C Finn International Conference on Learning Representations (ICLR), 2023 | 47* | 2023 |
| Non-Stationary Model for Crime Rate Inference Using Modern Urban Data H Wang, H Yao, D Kifer, C Graif, Z Li IEEE Transactions on Big Data (TBD) 5 (2), 180-194, 2017 | 47 | 2017 |
Zhenhui (Jessie) LiYunqi Academy of EngineeringVerified email at illinois.edu
