chenmeng 山东大学主页平台管理系统--Home

陈勐

Associate Professor
Supervisor of Master's Candidates

Gender:Male
Alma Mater:山东大学
Education Level:Postgraduate (Postdoctoral)
Degree:Doctoral Degree in Engineering
Status:Employed
School/Department:软件学院
Date of Employment:2018-09-10
Contact Information:mchen@sdu.edu.cn

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Current position: Home >> Scientific Research >> Paper Publications

Paper Publications

2020-04-13
[1] chenmeng. CEM: A Convolutional Embedding Model for Predicting Next Locations. IEEE Transactions on Intelligent Transportation Systems, 2020.
2019-05-28
[2] chenmeng. Eating healthier: Exploring nutrition information for healthier recipe recommendation. Information Processing and Management, 2019.
2019-03-31
[3] chenmeng. TraLFM: Latent Factor Modeling of Traffic Trajectory Data. IEEE Transactions on Intelligent Transportation Systems, 2019.
2019-06-10
[4] chenmeng and 刘庆杰. TTDM: A Travel Time Difference Model for Next Location Prediction. 2019.
2019-07-25
[5] chenmeng and 杨敏. Scalable Distributed kNN Processing on Clustered Data Streams. IEEE Access , 2019.
2017-06-01
[6] chenmeng. Weighted Co-Training for Cross-Domain Image Sentiment Classification. 计算机科学技术学报（英文版）, 32, 714, 2017.
[7] Eating healthier: Exploring nutrition information for healthier recipe recommendation. Information Processing & Management,
2017-06-01
[8] chenmeng. Weighted Co-Training for Cross-Domain Image Sentiment Classification. 计算机科学技术学报（英文版）, 32, 714, 2017.
2018-11-22
[9] PCNN: Deep Convolutional Networks for Short-Term Traffic Congestion Prediction. IEEE Transactions on Intelligent Transportation Systems, 2018.
2018-11-22
[10] MPE: a mobility pattern embedding model for predicting next locations. World Wide Web, 2018.
2014-11-22
[11] Nlpmm: A next location predictor with markov modeling. Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2014.
2015-11-22
[12] Mining moving patterns for predicting next location. Information Systems, 2015.
2015-11-22
[13] Predicting next locations with object clustering and trajectory clustering. Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2015.
2016-11-22
[14] Mining Object Similarity for Predicting Next Locations. Journal of Computer Science and Technology, 2016.
2016-11-22
[15] 基于时序特征的移动模式挖掘. 中国科学: 信息科学, 2016.
2016-11-22
[16] 基于深度表示模型的移动模式挖掘. 计算机应用, 2016.
2017-11-22
[17] Weighted Co-Training for Cross-Domain Image Sentiment Classification. Journal of Computer Science and Technology, 2017.
2018-11-22
[18] Short-term Traffic Flow Forecasting Using Transfer Ratio and Road Similarity. International Joint Conference on Neural Networks (IJCNN), 2018.
2017-11-22
[19] LCE: A Location Category Embedding Model for Predicting the Category Labels of POIs. International Conference on Neural Information Processing, 2017.
2016-11-22
[20] CoDS: Co-training with Domain Similarity for Cross-Domain Image Sentiment Classification. Asia-Pacific Web Conference, 2016.

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