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ORCIDYe Liu 0002
Person information
- affiliation: National University of Singapore, School of Computing
- affiliation (former): Peking University, Key Laboratory of Machine Perception, Beijing, China
Other persons with the same name
- Ye Liu — disambiguation page
- Ye Liu 0001
![[0000-0001-7610-586X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7610-586X")
— University of Oxford, Department of Engineering Science, UK (and 3 more) - Ye Liu 0003 — Nagoya University, Graduate School of Informatics, Japan
- Ye Liu 0004 — Nanjing Agricultural University, College of Engineering, China (and 1 more)
- Ye Liu 0005 — Nanjing University of Posts and Telecommunications, School of Automation, China (and 1 more)
- Ye Liu 0006 — University of Illinois at Chicago, IL, USA
- Cathy Liu 0001 (aka: Cathy Ye Liu, Ye Liu 0007) — LSI Logic Corporation, Milpitas, CA, USA (and 1 more)
- Ye Liu 0008 — Shanghai Jiao Tong University, Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, China
- Ye Liu 0009 — Ulm University, Ulm, Germany (and 1 more)
- Ye Liu 0010 — Chinese Academy of Sciences, State Key Laboratory of Brain and Cognitive Science, Beijing, China (and 1 more)
- Ye Liu 0011 — University of Science and Technology of China, China and State Key Laboratory of Cognitive Intelligence, Hefei, China
- Ye Liu 0012 — Nanyang Technological University, NTU, School of Computer Science and Engineering, Singapore
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2020 – today
- 2022
[j9]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)- [j8]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
- [j7]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) - [c11]Kun Ouyang, Yuxuan Liang, Ye Liu, David S. Rosenblum, Wenzhuo Yang:
Unsupervised Learning of Disentangled Location Embeddings. IJCNN 2020: 1-8 - [c10]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 - [i5]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)
2010 – 2019
- 2019
- [j6]Teng Li, Lingling Li, Yuan Wu, Li Liu, Ye Liu, Aamir Khan, Ammarah Hashmi:
An Intelligent Wellness Assessment System for the Elderly Healthcare. J. Medical Imaging Health Informatics 9(8): 1725-1731 (2019) - [j5]Jing Zhang, Zhengnan Li, Peiguang Jing, Ye Liu, Yuting Su:
Tensor-driven low-rank discriminant analysis for image set classification. Multim. Tools Appl. 78(4): 4001-4020 (2019) - [j4]Yuan Wu, Lingling Li, Li Liu, Ye Liu:
Nondestructive measurement of internal quality attributes of apple fruit by using NIR spectroscopy. Multim. Tools Appl. 78(4): 4179-4195 (2019) - [c9]Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum:
MMKG: Multi-modal Knowledge Graphs. ESWC 2019: 459-474 - [c8]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 - [c7]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 - [i4]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) - [i3]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) - 2017
- [j3]Yonggang Lu, Ye Wei, Li Liu, Jun Zhong, Letian Sun, Ye Liu:
Towards unsupervised physical activity recognition using smartphone accelerometers. Multim. Tools Appl. 76(8): 10701-10719 (2017) - [c6]Daniel Preotiuc-Pietro, Ye Liu, Daniel Hopkins, Lyle H. Ungar:
Beyond Binary Labels: Political Ideology Prediction of Twitter Users. ACL (1) 2017: 729-740 - 2016
- [j2]Ye Liu, Liqiang Nie, Li Liu, David S. Rosenblum:
From action to activity: Sensor-based activity recognition. Neurocomputing 181: 108-115 (2016) - [c5]Ye Liu, Luming Zhang, Liqiang Nie, Yan Yan, David S. Rosenblum:
Fortune Teller: Predicting Your Career Path. AAAI 2016: 201-207 - [c4]Li Liu, Li Cheng, Ye Liu, Yongpo Jia, David S. Rosenblum:
Recognizing Complex Activities by a Probabilistic Interval-Based Model. AAAI 2016: 1266-1272 - [c3]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 - [i2]Ye Liu, Yuxuan Liang, Shuming Liu, David S. Rosenblum, Yu Zheng:
Predicting Urban Water Quality with Ubiquitous Data. CoRR abs/1610.09462 (2016) - [i1]Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, David S. Rosenblum:
Action2Activity: Recognizing Complex Activities from Sensor Data. CoRR abs/1611.01872 (2016) - 2015
- [c2]Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, David S. Rosenblum:
Action2Activity: Recognizing Complex Activities from Sensor Data. IJCAI 2015: 1617-1623 - 2013
- [j1]Jinshi Cui, Ye Liu, Yuandong Xu, Huijing Zhao, Hongbin Zha:
Tracking Generic Human Motion via Fusion of Low- and High-Dimensional Approaches. IEEE Trans. Syst. Man Cybern. Syst. 43(4): 996-1002 (2013) - 2012
- [c1]Ye Liu, Jinshi Cui, Huijing Zhao, Hongbin Zha:
Fusion of low-and high-dimensional approaches by trackers sampling for generic human motion tracking. ICPR 2012: 898-901
Coauthor Index
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