Guiding the Data Learning Process with Physical Model in Air Pollution Inference. - Rui Ma 014; Xiangxiang Xu 001; Yue Wang 007; Hae Young Noh; Pei Zhang 001; Lin Zhang 001 (IEEE BigData, 2018)

Generative Model Based Fine-Grained Air Pollution Inference for Mobile Sensing Systems. - Rui Ma 014; Xiangxiang Xu 001; Hae Young Noh; Pei Zhang 001; Lin Zhang 001 (SenSys, 2018)

PiMi: two-month indoor/outdoor PM2.5 concentrations along with behavior labels through large-scale participatory sensing. - Rui Ma 014; Lin Zhang 001 (DATA@SenSys, 2018)

A Hybrid Air Pollution Reconstruction by Adaptive Interpolation Method. - Min Wu; Jiayi Huang; Ning Liu; Rui Ma 014; Yue Wang 007; Lin Zhang 001 (SenSys, 2018)

Inferring fine-grained air pollution map via a spatiotemporal super-resolution scheme. - Ning Liu; Rui Ma 014; Yue Wang 007; Lin Zhang 001 (UbiComp/ISWC Adjunct, 2019)

A deep autoencoder model for pollution map recovery with mobile sensing networks. - Rui Ma 014; Ning Liu; Xiangxiang Xu 001; Yue Wang 007; Hae Young Noh; Pei Zhang 001; Lin Zhang 001 (UbiComp/ISWC Adjunct, 2019)

Understanding air pollution patterns in city based on minute-level event detection: poster abstract. - Jiayi Huang; Ning Liu; Rui Ma 014; Xinyu Liu 003; Yue Wang 007; Lin Zhang 001 (SenSys, 2019)

Enhanced air quality inference with mobile sensing attention mechanism: poster abstract. - Ning Liu; Yue Wang 007; Jiayi Huang; Rui Ma 014; Lin Zhang 001 (SenSys, 2019)

RCH: robust calibration based on historical data for low-cost air quality sensor deployments. - Guodong Li; Rui Ma 014; Xinyu Liu 003; Yue Wang 007; Lin Zhang 001 (UbiComp/ISWC Adjunct, 2020)

Enhancing the Data Learning With Physical Knowledge in Fine-Grained Air Pollution Inference. - Rui Ma 014; Ning Liu; Xiangxiang Xu 001; Yue Wang 007; Hae Young Noh; Pei Zhang 001; Lin Zhang 001 (IEEE Access, 2020)

Fine-Grained Air Pollution Inference with Mobile Sensing Systems: A Weather-Related Deep Autoencoder Model. - Rui Ma 014; Ning Liu; Xiangxiang Xu 001; Yue Wang 007; Hae Young Noh; Pei Zhang 001; Lin Zhang 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

CAEN: A Hierarchically Attentive Evolution Network for Item-Attribute-Change-Aware Recommendation in the Growing E-commerce Environment. - Rui Ma 014; Ning Liu; Jingsong Yuan; Huafeng Yang; Jiandong Zhang (RecSys, 2022)

Finding What Users Look for by Attribute-Aware Personalized Item Comparison in Relevant Recommendation. - Rui Ma 014; Dike Sun; Jincheng Xu; Jingsong Yuan; Jiandong Zhang (WWW (Companion Volume), 2024)