A BP Neural Network Prediction Model of the Urban Air Quality Based on Rough Set. - Zhifang Jiang; Xiangxu Meng; Chenglei Yang; Guansong Li (ICNC (1), 2008)

An air quality forecast model based on the BP neural network of the samples self-organization clustering. - Zhifang Jiang; Bingq Mao; Xiangxu Meng; Xiaoliang Du; Shucheng Liu; Shenfang Li (ICNC, 2010)

The research of the regional pollutant concentration visualization based on the particles. - Zhifang Jiang; Miaomiao Li; Xiangxu Meng; Yan Huang 003; Shenfang Li (VINCI, 2010)

NCBI Epigenomics: a new public resource for exploring epigenomic data sets. - Ian M. Fingerman; Lee McDaniel; Xuan Zhang; Walter Ratzat; Tarek Hassan; Zhifang Jiang; Robert F. Cohen; Gregory D. Schuler (Nucleic Acids Res., 2011)

Research of the Urban Air Quality Forecast Method Based on Resource Allocation Network. - Zhifang Jiang; Shanxiang Zhang; Ruobo Xin; Shenghui Cheng; Ning Li (AICI, 2012)

The shape coordinates system in visualization space. - Zhifang Jiang; Shenghui Cheng; Ruobo Xin; Xiangxu Meng (VINCI, 2012)

Air pollution data visualization based on the shape of a tree. - Xiaoting Bi; Zhifang Jiang; Shenghui Cheng; Xiangxu Meng (VINCI, 2013)

A method of hierarchical time-series data visualization. - Ning Li; Zhifang Jiang; Zixiang Liu; Xiangxu Meng (VINCI, 2013)

Hyperbolic Tree + Time Disc: Visualizing Hierarchical Time-series Data. - Ning Li; Zhifang Jiang; Zixiang Liu; Haoxin Sun (VINCI, 2014)

StreamVisND: Visualizing relationships in streaming multivariate data. - Shenghui Cheng; Yue Wang; Dan Zhang; Zhifang Jiang; Klaus Mueller 001 (VAST, 2015)

Achievable rates for full-duplex massive MIMO systems with low-resolution ADCs/DACs under imperfect CSI environment. - Juan Liu; Jianxin Dai; Jiangzhou Wang; Xiaohui Yin; Zhifang Jiang; Jin-Yuan Wang (EURASIP J. Wirel. Commun. Netw., 2018)

Full-duplex massive MIMO relaying systems with low-resolution ADCs over Rician fading channels. - Xingcheng Yu; Jianxin Dai; Xiaohui Yin; Zhifang Jiang (IET Commun., 2019)

From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. - Ruichu Cai; Zhifang Jiang; Zijian Li 001; Weilin Chen 001; Xuexin Chen; Zhifeng Hao; Yifan Shen 004; Guangyi Chen 002; Kun Zhang 001 (CoRR, 2024)

Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting. - Ruichu Cai; Haiqin Huang; Zhifang Jiang; Zijian Li 001; Changze Zhou; Yuequn Liu; Yuming Liu; Zhifeng Hao (CoRR, 2025)