Haichun Liu

Fragment virtual screening based on Bayesian categorization for discovering novel VEGFR-2 scaffolds

Shuai Lu, Jing Pan, Yu Jiao, 2015, Molecular Diversity.

In silico Prediction of Inhibitory Constant of Thrombin Inhibitors Using Machine Learning.

Lu Zhu, Yuchen Wang, Haichun Liu, 2018, Combinatorial chemistry & high throughput screening.

Spatiotemporal Big Data Analysis for Smart Grids Based on Random Matrix Theory

Robert C. Qiu, Lei Chu, Haichun Liu, 2018 .

Individual Recognition in Schizophrenia using Deep Learning Methods with Random Forest and Voting Classifiers: Insights from Resting State EEG Streams pdf

Robert C. Qiu, Xin Shi, Lei Chu, 2017, ArXiv.

An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images pdf

Zhijian Jin, Robert C. Qiu, Lei Chu, 2018, CSEE Journal of Power and Energy Systems.

An Integrated Virtual Screening Approach for VEGFR-2 Inhibitors

Tao Lu, Shuai Lu, Yu Jiao, 2013, J. Chem. Inf. Model..

A combined drug discovery strategy based on machine learning and molecular docking

Shuai Lu, Lu Zhu, Tao Lu, 2019, Chemical biology & drug design.

A Big Data Architecture Design for Smart Grids Based on Random Matrix Theory

Qian Ai, Wentao Huang, Robert C. Qiu, 2015, IEEE Transactions on Smart Grid.

Novel Strategy for Three-Dimensional Fragment-Based Lead Discovery

Jian Wang, Tao Lu, Weiwei Zhang, 2011, J. Chem. Inf. Model..

Fragment-based strategy for structural optimization in combination with 3D-QSAR

Tao Lu, Shuai Lu, Yanmin Zhang, 2013, Journal of Computer-Aided Molecular Design.

Predicting human mobility based on location data modeled by Markov chains

Genke Yang, Changchun Pan, Haichun Liu, 2016, 2016 Fourth International Conference on Ubiquitous Positioning, Indoor Navigation and Location Based Services (UPINLBS).