Fusion of low-and high-dimensional approaches by trackers sampling for generic human motion tracking. - Ye Liu 002; Jinshi Cui; Huijing Zhao; Hongbin Zha (ICPR, 2012)

Tracking Generic Human Motion via Fusion of Low- and High-Dimensional Approaches. - Jinshi Cui; Ye Liu 002; Yuandong Xu; Huijing Zhao; Hongbin Zha (IEEE Trans. Syst. Man Cybern. Syst., 2013)

Action2Activity: Recognizing Complex Activities from Sensor Data. - Ye Liu 002; Liqiang Nie; Lei Han; Luming Zhang; David S. Rosenblum (IJCAI, 2015)

Recognizing Complex Activities by a Probabilistic Interval-Based Model. - Li Liu 001; Li Cheng 001; Ye Liu 002; Yongpo Jia; David S. Rosenblum (AAAI, 2016)

Fortune Teller: Predicting Your Career Path. - Ye Liu 002; Luming Zhang; Liqiang Nie; Yan Yan 002; David S. Rosenblum (AAAI, 2016)

Urban Water Quality Prediction Based on Multi-Task Multi-View Learning. - Ye Liu 002; Yu Zheng 004; Yuxuan Liang; Shuming Liu 002; David S. Rosenblum (IJCAI, 2016)

Predicting Urban Water Quality with Ubiquitous Data. - Ye Liu 002; Yuxuan Liang; Shuming Liu 002; David S. Rosenblum; Yu Zheng 004 (CoRR, 2016)

From action to activity: Sensor-based activity recognition. - Ye Liu 002; Liqiang Nie; Li Liu 001; David S. Rosenblum (Neurocomputing, 2016)

Beyond Binary Labels: Political Ideology Prediction of Twitter Users. - Daniel Preotiuc-Pietro; Ye Liu 002; Daniel Hopkins; Lyle H. Ungar (ACL (1), 2017)

Towards unsupervised physical activity recognition using smartphone accelerometers. - Yonggang Lu; Ye Wei; Li Liu 001; Jun Zhong; Letian Sun; Ye Liu 002 (Multim. Tools Appl., 2017)

MMKG: Multi-modal Knowledge Graphs. - Ye Liu 002; Hui Li 057; Alberto García-Durán; Mathias Niepert; Daniel Oñoro-Rubio; David S. Rosenblum (ESWC, 2019)

Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking. - Nirandika Wanigasekara; Yuxuan Liang; Siong Thye Goh; Ye Liu 002; Joseph Jay Williams; David S. Rosenblum (IJCAI, 2019)

UrbanFM: Inferring Fine-Grained Urban Flows. - Yuxuan Liang; Kun Ouyang; Lin Jing; Sijie Ruan; Ye Liu 002; Junbo Zhang; David S. Rosenblum; Yu Zheng 004 (KDD, 2019)

An Intelligent Wellness Assessment System for the Elderly Healthcare. - Teng Li; Lingling Li; Yuan Wu 002; Li Liu 001; Ye Liu 002; Aamir Khan; Ammarah Hashmi (J. Medical Imaging Health Informatics, 2019)

Nondestructive measurement of internal quality attributes of apple fruit by using NIR spectroscopy. - Yuan Wu 002; Lingling Li; Li Liu 001; Ye Liu 002 (Multim. Tools Appl., 2019)

Tensor-driven low-rank discriminant analysis for image set classification. - Jing Zhang 038; Zhengnan Li; Peiguang Jing; Ye Liu 002; Yuting Su 001 (Multim. Tools Appl., 2019)

Unsupervised Learning of Disentangled Location Embeddings. - Kun Ouyang; Yuxuan Liang; Ye Liu 002; David S. Rosenblum; Wenzhuo Yang (IJCNN, 2020)

Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics. - Yuxuan Liang; Kun Ouyang; Yiwei Wang 001; Ye Liu 002; Junbo Zhang; Yu Zheng 004; David S. Rosenblum (ECML/PKDD (1), 2020)

Translation-Based Sequential Recommendation for Complex Users on Sparse Data. - Hui Li 057; Ye Liu 002; Nikos Mamoulis; David S. Rosenblum (IEEE Trans. Knowl. Data Eng., 2020)

Predicting Urban Water Quality With Ubiquitous Data - A Data-Driven Approach. - Ye Liu 002; Yuxuan Liang; Kun Ouyang; Shuming Liu 002; David S. Rosenblum; Yu Zheng 004 (IEEE Trans. Big Data, 2022)

Fine-Grained Urban Flow Inference. - Kun Ouyang; Yuxuan Liang; Ye Liu 002; Zekun Tong; Sijie Ruan; Yu Zheng 004; David S. Rosenblum (IEEE Trans. Knowl. Data Eng., 2022)