Mingjie Qian

According to our database, Mingjie Qian authored at least 20 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation.

Yongsen Zheng, Ruilin Xu, Ziliang Chen, Guohua Wang, Mingjie Qian, Jinghui Qin, Liang Lin

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

HutCRS: Hierarchical User-Interest Tracking for Conversational Recommender System.

Mingjie Qian, Yongsen Zheng, Jinghui Qin, Liang Lin

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

Multimodal Data and Multiscale Kernel-Based Multistream CNN for Fine Classification of a Complex Surface-Mined Area.

Mingjie Qian, Song Sun, Xianju Li

Remote. Sens., 2021

2018

Comparative Performances of Airborne LiDAR Height and Intensity Data for Leaf Area Index Estimation.

Shezhou Luo, Jing M. Chen, Cheng Wang, Alemu Gonsamo, Xiaohuan Xi, Yi Lin, Mingjie Qian, Dailiang Peng, Sheng Nie, Haiming Qin

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

2017

Retrieving aboveground biomass of wetland Phragmites australis (common reed) using a combination of airborne discrete-return LiDAR and hyperspectral data.

Shezhou Luo, Cheng Wang, Xiaohuan Xi, Feifei Pan, Mingjie Qian, Dailiang Peng, Sheng Nie, Haiming Qin, Yi Lin

Int. J. Appl. Earth Obs. Geoinformation, 2017

Temporal reflected logistic regression for probabilistic heart failure survival score prediction.

Mingjie Qian, Jyotishman Pathak, Naveen L. Pereira, Chengxiang Zhai

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2015

Unsupervised feature analysis for high dimensional big data

Mingjie Qian

PhD thesis, 2015

Joint adaptive loss and l2/l0-norm minimization for unsupervised feature selection.

Mingjie Qian, ChengXiang Zhai

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Structured Sparse Regression for Recommender Systems.

Mingjie Qian, Liangjie Hong, Yue Shi, Suju Rajan

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Text-Image Topic Discovery for Web News Data.

Mingjie Qian

Proceedings of the Advances in Information Retrieval, 2014

Unsupervised Feature Selection for Multi-View Clustering on Text-Image Web News Data.

Mingjie Qian, ChengXiang Zhai

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Robust Unsupervised Feature Selection.

Mingjie Qian, Chengxiang Zhai

Proceedings of the IJCAI 2013, 2013

2010

How about utilizing ordinal information from the distribution of unlabeled data.

Mingjie Qian, Bo Chen, Hongzhi Xu, Hongwei Qi

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

A speed-up algorithm for Poisson Propagation.

Bing Liu, Mingjie Qian

Proceedings of the International Joint Conference on Neural Networks, 2009

Probabilistic Labeled Semi-supervised SVM.

Mingjie Qian, Feiping Nie, Changshui Zhang

Proceedings of the ICDM Workshops 2009, 2009

Sparse Norm-Regularized Reconstructive Coefficients Learning.

Bin Liu, Shuo Chen, Mingjie Qian, Changshui Zhang

Proceedings of the ICDM 2009, 2009

Kernel K-means Based Framework for Aggregate Outputs Classification.

Shuo Chen, Bin Liu, Mingjie Qian, Changshui Zhang

Proceedings of the ICDM Workshops 2009, 2009

Analyses on Changes of Land Use in Three Gorges Based on Quantitative Research.

Yingui Cao, Chun Yuan, Wei Zhou, Mingjie Qian, Tao Yuan

Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

Efficient multi-class unlabeled constrained semi-supervised SVM.

Mingjie Qian, Feiping Nie, Changshui Zhang

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Instance- and bag-level manifold regularization for aggregate outputs classification.

Shuo Chen, Bin Liu, Mingjie Qian, Changshui Zhang

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009