Ye Liu

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 20

Top Topics

Personalized Ranking

Top Venues

Multim. Tools Appl.

Publications

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) (2022)
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) (2022)
Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum
Fine-Grained Urban Flow Inference. CoRR (2020)
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) (2020)
Kun Ouyang, Yuxuan Liang, Ye Liu, David S. Rosenblum, Wenzhuo Yang
Unsupervised Learning of Disentangled Location Embeddings. IJCNN (2020)
Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum
MMKG: Multi-Modal Knowledge Graphs. CoRR (2019)
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)
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) (2019)
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)
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) (2019)
Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum
MMKG: Multi-modal Knowledge Graphs. ESWC (2019)
Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng
UrbanFM: Inferring Fine-Grained Urban Flows. CoRR (2019)
Daniel Preotiuc-Pietro, Ye Liu, Daniel Hopkins, Lyle H. Ungar
Beyond Binary Labels: Political Ideology Prediction of Twitter Users. ACL (1) (2017)
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) (2017)
Ye Liu, Yuxuan Liang, Shuming Liu, David S. Rosenblum, Yu Zheng
Predicting Urban Water Quality with Ubiquitous Data. CoRR (2016)
Ye Liu, Liqiang Nie, Li Liu, David S. Rosenblum
From action to activity: Sensor-based activity recognition. Neurocomputing 181 (2016)
Ye Liu, Luming Zhang, Liqiang Nie, Yan Yan, David S. Rosenblum
Fortune Teller: Predicting Your Career Path. AAAI (2016)
Ye Liu, Yu Zheng, Yuxuan Liang, Shuming Liu, David S. Rosenblum
Urban Water Quality Prediction Based on Multi-Task Multi-View Learning. IJCAI (2016)
Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, David S. Rosenblum
Action2Activity: Recognizing Complex Activities from Sensor Data. CoRR (2016)
Li Liu, Li Cheng, Ye Liu, Yongpo Jia, David S. Rosenblum
Recognizing Complex Activities by a Probabilistic Interval-Based Model. AAAI (2016)
Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, David S. Rosenblum
Action2Activity: Recognizing Complex Activities from Sensor Data. IJCAI (2015)
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) (2013)
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)