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ORCIDDavid S. Rosenblum
- > Home > Persons > David S. Rosenblum
Publications
- 2022
[j50]Ye Liu
, Yuxuan Liang, Kun Ouyang, Shuming Liu, David S. Rosenblum, Yu Zheng:
Predicting Urban Water Quality With Ubiquitous Data - A Data-Driven Approach. IEEE Trans. Big Data 8(2): 564-578 (2022)- [j49]Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum:
Fine-Grained Urban Flow Inference. IEEE Trans. Knowl. Data Eng. 34(6): 2755-2770 (2022) - 2020
- [j47]Hui Li, Ye Liu, Nikos Mamoulis, David S. Rosenblum:
Translation-Based Sequential Recommendation for Complex Users on Sparse Data. IEEE Trans. Knowl. Data Eng. 32(8): 1639-1651 (2020) - [c86]Kun Ouyang, Yuxuan Liang, Ye Liu, David S. Rosenblum, Wenzhuo Yang:
Unsupervised Learning of Disentangled Location Embeddings. IJCNN 2020: 1-8 - [c84]Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum:
Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics. ECML/PKDD (1) 2020: 578-594 - [i12]Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum:
Fine-Grained Urban Flow Inference. CoRR abs/2002.02318 (2020) - 2019
- [c82]Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum:
MMKG: Multi-modal Knowledge Graphs. ESWC 2019: 459-474 - [c81]Nirandika Wanigasekara, Yuxuan Liang, Siong Thye Goh, Ye Liu, Joseph Jay Williams, David S. Rosenblum:
Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking. IJCAI 2019: 3835-3841 - [c80]Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng:
UrbanFM: Inferring Fine-Grained Urban Flows. KDD 2019: 3132-3142 - [i9]Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng:
UrbanFM: Inferring Fine-Grained Urban Flows. CoRR abs/1902.05377 (2019) - [i8]Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum:
MMKG: Multi-Modal Knowledge Graphs. CoRR abs/1903.05485 (2019) - 2016
- [j40]Ye Liu, Liqiang Nie, Li Liu, David S. Rosenblum:
From action to activity: Sensor-based activity recognition. Neurocomputing 181: 108-115 (2016) - [c71]Ye Liu, Luming Zhang, Liqiang Nie, Yan Yan, David S. Rosenblum:
Fortune Teller: Predicting Your Career Path. AAAI 2016: 201-207 - [c70]Li Liu, Li Cheng, Ye Liu, Yongpo Jia, David S. Rosenblum:
Recognizing Complex Activities by a Probabilistic Interval-Based Model. AAAI 2016: 1266-1272 - [c67]Ye Liu, Yu Zheng, Yuxuan Liang, Shuming Liu, David S. Rosenblum:
Urban Water Quality Prediction Based on Multi-Task Multi-View Learning. IJCAI 2016: 2576-2581 - [i4]Ye Liu, Yuxuan Liang, Shuming Liu, David S. Rosenblum, Yu Zheng:
Predicting Urban Water Quality with Ubiquitous Data. CoRR abs/1610.09462 (2016) - [i3]Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, David S. Rosenblum:
Action2Activity: Recognizing Complex Activities from Sensor Data. CoRR abs/1611.01872 (2016) - 2015
- [c63]Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, David S. Rosenblum:
Action2Activity: Recognizing Complex Activities from Sensor Data. IJCAI 2015: 1617-1623
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