Stebėti
Zhenhui Jessie Li
Zhenhui Jessie Li
Yunqi Academy of Engineering
Patvirtintas el. paštas illinois.edu - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
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
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
13762018
Generalized fisher score for feature selection
Q Gu, Z Li, J Han
arXiv preprint arXiv:1202.3725, 2012
10932012
Revisiting spatial-temporal similarity: A deep learning framework for traffic prediction
H Yao, X Tang, H Wei, G Zheng, Z Li
Proceedings of the AAAI conference on artificial intelligence 33 (01), 5668-5675, 2019
1056*2019
DRN: A deep reinforcement learning framework for news recommendation
G Zheng, F Zhang, Z Zheng, Y Xiang, NJ Yuan, X Xie, Z Li
Proceedings of the 2018 world wide web conference, 167-176, 2018
8902018
Intellilight: A reinforcement learning approach for intelligent traffic light control
H Wei, G Zheng, H Yao, Z Li
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
7642018
Swarm: Mining relaxed temporal moving object clusters
Z Li, B Ding, J Han, R Kays
Proceedings of the VLDB Endowment 3 (1-2), 723-734, 2010
4832010
Colight: Learning network-level cooperation for traffic signal control
H Wei, N Xu, H Zhang, G Zheng, X Zang, C Chen, W Zhang, Y Zhu, K Xu, ...
Proceedings of the 28th ACM international conference on information and …, 2019
4132019
Toward a thousand lights: Decentralized deep reinforcement learning for large-scale traffic signal control
C Chen, H Wei, N Xu, G Zheng, M Yang, Y Xiong, K Xu, Z Li
Proceedings of the AAAI conference on artificial intelligence 34 (04), 3414-3421, 2020
3982020
Presslight: Learning max pressure control to coordinate traffic signals in arterial network
H Wei, C Chen, G Zheng, K Wu, V Gayah, K Xu, Z Li
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
3922019
Mining periodic behaviors for moving objects
Z Li, B Ding, J Han, R Kays, P Nye
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
3842010
Cityflow: A multi-agent reinforcement learning environment for large scale city traffic scenario
H Zhang, S Feng, C Liu, Y Ding, Y Zhu, Z Zhou, W Zhang, Y Yu, H Jin, Z Li
The world wide web conference, 3620-3624, 2019
3192019
A survey on traffic signal control methods
H Wei, G Zheng, V Gayah, Z Li
arXiv preprint arXiv:1904.08117, 2019
3072019
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, 2181-2191, 2019
2672019
A simple baseline for travel time estimation using large-scale trip data
H Wang, X Tang, YH Kuo, D Kifer, Z Li
ACM Transactions on Intelligent Systems and Technology (TIST) 10 (2), 1-22, 2019
2662019
Hierarchically structured meta-learning
H Yao, Y Wei, J Huang, Z Li
International conference on machine learning, 7045-7054, 2019
2612019
Learning phase competition for traffic signal control
G Zheng, Y Xiong, X Zang, J Feng, H Wei, H Zhang, Y Li, K Xu, Z Li
Proceedings of the 28th ACM international conference on information and …, 2019
2572019
Joint feature selection and subspace learning
Q Gu, Z Li, J Han
Twenty-second international joint conference on artificial intelligence, 2011
2562011
Few-shot knowledge graph completion
C Zhang, H Yao, C Huang, M Jiang, Z Li, NV Chawla
Proceedings of the AAAI conference on artificial intelligence 34 (03), 3041-3048, 2020
2412020
Crime Rate Inference with Big Data
H Wang, Z Li, D Kifer, C Graif
KDD '16 Proceedings of the 22nd ACM SIGKDD International Conference on …, 2016
2312016
Incremental clustering for trajectories
Z Li, JG Lee, X Li, J Han
International conference on database systems for advanced applications, 32-46, 2010
2302010
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