Longbo Huang. Optimal Sleep-Wake Scheduling for Energy Harvesting Smart Mobile Devices. IEEE Transactions on Mobile Computing (TMC), vol. 16, issue 5, pp 1394-1407, May 2017.
Zhixuan Fang, Longbo Huang, Adam Wierman. Prices and Subsidies in the Sharing Economy. Proceedings of World Wide Web (WWW) (full paper), April 2017.
Kechao Cai, Kun Chen, Longbo Huang, John C.S. Lui. Multi-level Feedback Web Links Selection Problem: Learning and Optimization. Proceedings of IEEE International Conference on Data Mining series (ICDM) (short paper), November 2017.
Kalathil, Dileep, Chenye Wu, Kameshwar Poolla, and Pravin Varaiya. The Sharing Economy for the Electricity Storage. IEEE Transactions on Smart Grid,Volume: PP, Issue: 99,pp.1 - 1.
Wu, Chenye, Gabriela Hug, and Soummya Kar. Distributed voltage regulation in distribution power grids: Utilizing the photovoltaics inverters. In American Control Conference (ACC 2017), pp. 2725-2731. IEEE, 2017.
Chen, Qixin, Peng Zou, Chenye Wu, Junliu Zhang, Ming Li, Qing Xia, and Chongqing Kang. A Nash-Cournot approach to assessing flexible ramping products. Applied Energy 206,pp.42-50,2017.
Jianyu Zhou, Shining Ma, Dongfang Wang, Jianyang Zeng, Tao Jiang. FreePSI: an alignment-free approach to estimating exon-inclusion ratios without a reference transcriptome. Nucleic Acids Research, gkx1059, 09 November 2017.
Guangxiang Zhu, Wenxuan Deng, Hailin Hu, Rui Ma, Sai Zhang, Jinglin Yang, Jian Peng, Tommy Kaplan, Jianyang Zeng. GEM: A manifold learning based framework for reconstructing spatial organizations of chromosomes. Nucleic Acids Research. Minor revision. 2017.
Zhenhai Du, Hui Zheng, Bo Huang, Rui Ma, Jingyi Wu, Xianglin Zhang, Jing He, Yunlong Xiang, Qiujun Wang, Yuanyuan Li, Jing Ma, Xu Zhang, Ke Zhang, Yang Wang, Michael Q. Zhang, Juntao Gao, Jesse R. Dixon, Xiaowo Wang, Jianyang Zeng, Wei Xie. Allelic reprogramming of 3D chromatin architecture during early mammalian development. Nature. 12;547(7662):232-235,July 2017.
Sai Zhang, Hailin Hu, Tao Jiang, Lei Zhang, and Jianyang Zeng. TITER: Predicting translation initiation sites by deep learning. ISMB/ECCB. Bioinformatics,vol.33,14,pp.I234-I242,2017.
Dapeng Xiong, Jianyang Zeng, Haipeng Gong. A deep learning framework for improving long-range residue-residue contact prediction using a hierarchical strategy. Bioinformatics, Volume 33, Issue 17, pp.2675–2683, September 1st 2017.
Sai Zhang, Hailin Hu, Jingtian Zhou, Xuan He, Tao Jiang, Jianyang Zeng. Analysis of ribosome stalling and translation elongation dynamics by deep learning. Cell Systems 5, pp.212–220, September 27, 2017.
Yunan Luo, Xinbin Zhao, Jingtian Zhou, Jinling Yang, Yanqing Zhang, Wenhua Kuang, Jian Peng, Ligong Chen, Jianyang Zeng. A Network Integration Approach for Drug-Target Interaction Prediction and Computational Drug Repositioning from Heterogeneous Information. RECOMB 2017.
Sai Zhang, Muxuan Liang, Zhongjun Zhou, Chen Zhang, Ning Chen, Ting Chen and Jianyang Zeng. Elastic Restricted Boltzmann Machines for Cancer Data Analysis. Quant Biol 5, pp.159-172,2017.
Yi Li, Yitao Duan, Wei Xu. PEM: A Practical Differentially Private System for Large-Scale Cross-Institutional Data Mining. European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, Cham, 2017.
Li Hang, Gao Xun, Xin Tao, Yung Man-Hong, Long Guilu. Experimental study of Forrelation in nuclear spins. Science Bulletin, v 62, n 7, p 497-502, 2017.
Shengyan Liu, Tongcang Li, Zhang-qi Yin. Coupling the librational and translational motion of a levitated nano-particle with an optical cavity. Journal of the Optical Society of America B 34, C8 ,2017.
Zhang-Qi Yin, Tongcang Li. Bringing quantum mechanics to life: from Schrödinger's cat to Schrödinger 's microbe. Contemporary Physics 58, 119,2017.