Articles with public access mandates - Zhenhui (Jessie) LiLearn more
Not available anywhere: 1
App2Vec: Context-aware application usage prediction
H Wang, Y Li, M Du, Z Li, D Jin
ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (6), 1-21, 2021
Mandates: National Natural Science Foundation of China
Available somewhere: 50
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
Hierarchically structured meta-learning
H Yao, Y Wei, J Huang, Z Li
International conference on machine learning, 7045-7054, 2019
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation, US National Institutes of Health
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
Mandates: US National Science Foundation, US Department of Defense
Graph few-shot learning via knowledge transfer
H Yao, C Zhang, Y Wei, M Jiang, S Wang, J Huang, N Chawla, Z Li
Proceedings of the AAAI conference on artificial intelligence 34 (04), 6656-6663, 2020
Mandates: US National Science Foundation, US Department of Defense
Metalight: Value-based meta-reinforcement learning for traffic signal control
X Zang, H Yao, G Zheng, N Xu, K Xu, Z Li
Proceedings of the AAAI conference on artificial intelligence 34 (01), 1153-1160, 2020
Mandates: US National Science Foundation
Recent advances in reinforcement learning for traffic signal control: A survey of models and evaluation
H Wei, G Zheng, V Gayah, Z Li
ACM SIGKDD Explorations Newsletter 22 (2), 12-18, 2021
Mandates: US National Science Foundation
Region representation learning via mobility flow
H Wang, Z Li
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
Mandates: US National Science Foundation
Improving generalization in meta-learning via task augmentation
H Yao, LK Huang, L Zhang, Y Wei, L Tian, J Zou, J Huang
International conference on machine learning, 11887-11897, 2021
Mandates: US National Science Foundation
Big groundwater data sets reveal possible rare contamination amid otherwise improved water quality for some analytes in a region of Marcellus shale development
T Wen, X Niu, M Gonzales, G Zheng, Z Li, SL Brantley
Environmental science & technology 52 (12), 7149-7159, 2018
Mandates: US National Science Foundation
Publication and funding information is determined automatically by a computer program