| 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 | 488 | 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 | 304* | 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 | 205 | 2018 |
| Hierarchically Structured Meta-learning H Yao, Y Wei, J Huang, Z Li International Conference on Machine Learning (ICML), 7045-7054, 2019 | 82 | 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 | 59 | 2019 |
| 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 | 58* | 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 | 48 | 2018 |
| 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 | 33 | 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 | 30 | 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 | 28 | 2020 |
| Few-Shot Knowledge Graph Completion C Zhang, H Yao, C Huang, M Jiang, Z Li, NV Chawla AAAI Conference on Artificial Intelligence (AAAI), 2020 | 25 | 2020 |
| 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 | 23 | 2017 |
| 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 | 21 | 2019 |
| Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference X Tang, B Gong, Y Yu, H Yao, Y Li, H Xie, X Wang The World Wide Web Conference (WWW), 1806-1817, 2019 | 19 | 2019 |
| Predicting Academic Performance via Semi-supervised Learning with Constructed Campus Social Network H Yao, M Nie, H Su, H Xia, D Lian Conference on Database Systems for Advanced Applications (DASFAA), 597-609, 2017 | 16 | 2017 |
| 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 | 12 | 2020 |
| Representation learning for large-scale dynamic networks Y Yu, H Yao, H Wang, X Tang, Z Li Conference on Database Systems for Advanced Applications (DASFAA), 526-541, 2018 | 10 | 2018 |
| 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 | 8* | 2020 |
| Learning with Small Data Z Li, H Yao, F Ma ACM Conference on Web Search and Data Mining (WSDM tutorial), 884-887, 2020 | 5 | 2020 |
| Online Structured Meta-learning H Yao, Y Zhou, M Mahdavi, Z Li, R Socher, C Xiong Advances in Neural Information Processing Systems (NeurIPS), 2020 | 5 | 2020 |
Zhenhui (Jessie) LiPenn State UniversityVerified email at ist.psu.edu
