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2020 – today
- 2024
[c16]Yongsen Zheng, Ruilin Xu, Ziliang Chen, Guohua Wang, Mingjie Qian, Jinghui Qin, Liang Lin:
HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation. ACL (1) 2024: 2526-2537- 2023
- [c15]Mingjie Qian, Yongsen Zheng, Jinghui Qin, Liang Lin:
HutCRS: Hierarchical User-Interest Tracking for Conversational Recommender System. EMNLP 2023: 10281-10290 - 2021
- [j3]Mingjie Qian, Song Sun
, Xianju Li:
Multimodal Data and Multiscale Kernel-Based Multistream CNN for Fine Classification of a Complex Surface-Mined Area. Remote. Sens. 13(24): 5052 (2021)
2010 – 2019
- 2018
- [j2]Shezhou Luo, Jing M. Chen, Cheng Wang, Alemu Gonsamo, Xiaohuan Xi, Yi Lin, Mingjie Qian, Dailiang Peng, Sheng Nie, Haiming Qin:
Comparative Performances of Airborne LiDAR Height and Intensity Data for Leaf Area Index Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(1): 300-310 (2018) - 2017
- [j1]Shezhou Luo, Cheng Wang, Xiaohuan Xi, Feifei Pan, Mingjie Qian, Dailiang Peng, Sheng Nie, Haiming Qin, Yi Lin:
Retrieving aboveground biomass of wetland Phragmites australis (common reed) using a combination of airborne discrete-return LiDAR and hyperspectral data. Int. J. Appl. Earth Obs. Geoinformation 58: 107-117 (2017) - [c14]Mingjie Qian, Jyotishman Pathak, Naveen L. Pereira, Chengxiang Zhai:
Temporal reflected logistic regression for probabilistic heart failure survival score prediction. BIBM 2017: 410-416 - 2015
- [b1]Mingjie Qian:
Unsupervised feature analysis for high dimensional big data. University of Illinois Urbana-Champaign, USA, 2015 - [c13]Mingjie Qian, Liangjie Hong, Yue Shi, Suju Rajan:
Structured Sparse Regression for Recommender Systems. CIKM 2015: 1895-1898 - [c12]Mingjie Qian, ChengXiang Zhai:
Joint adaptive loss and l2/l0-norm minimization for unsupervised feature selection. IJCNN 2015: 1-8 - 2014
- [c11]Mingjie Qian, ChengXiang Zhai:
Unsupervised Feature Selection for Multi-View Clustering on Text-Image Web News Data. CIKM 2014: 1963-1966 - [c10]Mingjie Qian:
Text-Image Topic Discovery for Web News Data. ECIR 2014: 675-680 - 2013
- [c9]Mingjie Qian, Chengxiang Zhai:
Robust Unsupervised Feature Selection. IJCAI 2013: 1621-1627 - 2010
- [c8]Mingjie Qian, Bo Chen, Hongzhi Xu, Hongwei Qi:
How about utilizing ordinal information from the distribution of unlabeled data. CIKM 2010: 289-298
2000 – 2009
- 2009
- [c7]Shuo Chen, Bin Liu, Mingjie Qian, Changshui Zhang:
Instance- and bag-level manifold regularization for aggregate outputs classification. CIKM 2009: 1593-1596 - [c6]Mingjie Qian, Feiping Nie, Changshui Zhang:
Efficient multi-class unlabeled constrained semi-supervised SVM. CIKM 2009: 1665-1668 - [c5]Yingui Cao, Chun Yuan, Wei Zhou, Mingjie Qian, Tao Yuan:
Analyses on Changes of Land Use in Three Gorges Based on Quantitative Research. FSKD (2) 2009: 193-197 - [c4]Shuo Chen, Bin Liu, Mingjie Qian, Changshui Zhang:
Kernel K-means Based Framework for Aggregate Outputs Classification. ICDM Workshops 2009: 356-361 - [c3]Mingjie Qian, Feiping Nie, Changshui Zhang:
Probabilistic Labeled Semi-supervised SVM. ICDM Workshops 2009: 394-399 - [c2]Bin Liu, Shuo Chen, Mingjie Qian, Changshui Zhang:
Sparse Norm-Regularized Reconstructive Coefficients Learning. ICDM 2009: 854-859 - [c1]Bing Liu, Mingjie Qian:
A speed-up algorithm for Poisson Propagation. IJCNN 2009: 1843-1848
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