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Qingyao Wu
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Publications
- 2024
- [j71]Lvlong Lai, Jian Chen, Qingyao Wu:
Zero-Shot Single-View Point Cloud Reconstruction via Cross-Category Knowledge Transferring. IEEE Trans. Multim. 26: 1448-1459 (2024) - 2023
- [c54]Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu:
A Tensor-based Markov Chain Model for Heterogeneous Information Network Collective Classification : Extended abstract. ICDE 2023: 3885-3886 - 2022
- [j63]Lvlong Lai, Jian Chen, Chi Zhang, Zehong Zhang, Guosheng Lin, Qingyao Wu:
Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation. Knowl. Based Syst. 253: 109508 (2022) - [j59]Wenjun Wang, Lvlong Lai, Jian Chen, Qingyao Wu:
CAM-based non-local attention network for weakly supervised fire detection. Serv. Oriented Comput. Appl. 16(2): 133-142 (2022) - [j54]Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu:
A Tensor-Based Markov Chain Model for Heterogeneous Information Network Collective Classification. IEEE Trans. Knowl. Data Eng. 34(9): 4063-4076 (2022) - 2021
- [c44]Fangyuan Xie, Pengshuai Yin, Zehui Ke, Ruizhou Sun, Ke Ding, Jian Chen, Qingyao Wu:
Vehicle Segmentation with Coarse Distance Estimation Based on Monocular Vision. ICEBE 2021: 16-20 - [c41]Lvlong Lai, Jian Chen, Huichou Huang, Qingyao Wu:
Exploring A CAM - Based Approach for Weakly Supervised Fire Detection Task. ICEBE 2021: 134-138 - [c35]Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Min Yang, Yang Sun, Guoxiao Zhang:
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking. SIGIR 2021: 357-366 - 2020
- [j38]Qi Chen, Qi Wu, Jian Chen, Qingyao Wu, Anton van den Hengel, Mingkui Tan:
Scripted Video Generation With a Bottom-Up Generative Adversarial Network. IEEE Trans. Image Process. 29: 7454-7467 (2020) - [c32]Zhenhao He, Yuhong He, Qingyao Wu, Jian Chen:
Fg2seq: Effectively Encoding Knowledge for End-To-End Task-Oriented Dialog. ICASSP 2020: 8029-8033 - [i9]Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan:
Double Forward Propagation for Memorized Batch Normalization. CoRR abs/2010.04947 (2020) - [i8]Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Chengming Li, Min Yang, Yang Sun, Guoxiao Zhang:
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking. CoRR abs/2012.07598 (2020) - 2019
- [j27]Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan:
Auto-Embedding Generative Adversarial Networks For High Resolution Image Synthesis. IEEE Trans. Multim. 21(11): 2726-2737 (2019) - [i7]Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan:
Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis. CoRR abs/1903.11250 (2019) - 2018
- [c23]Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan:
Double Forward Propagation for Memorized Batch Normalization. AAAI 2018: 3134-3141 - 2017
- [c12]Chao Han, Qingyao Wu, Michael K. Ng, Jiezhang Cao, Mingkui Tan, Jian Chen:
Tensor Based Relations Ranking for Multi-relational Collective Classification. ICDM 2017: 901-906 - [c10]Jinxia Li, Yihan Zheng, Chao Han, Qingyao Wu, Jian Chen:
Extremely Randomized Forest with Hierarchy of Multi-label Classifiers. IScIDE 2017: 450-460 - 2016
- [j16]Chao Han, Yun-Kun Tan, Jin-Hui Zhu, Yong Guo, Jian Chen, Qingyao Wu:
Online Feature Selection of Class Imbalance via PA Algorithm. J. Comput. Sci. Technol. 31(4): 673-682 (2016) - [j15]Qingyao Wu, Mingkui Tan, Hengjie Song, Jian Chen, Michael K. Ng:
ML-FOREST: A Multi-Label Tree Ensemble Method for Multi-Label Classification. IEEE Trans. Knowl. Data Eng. 28(10): 2665-2680 (2016) - [c7]Yongxin Liao, Shenxi Yuan, Jian Chen, Qingyao Wu, Bin Li:
Joint Classification with Heterogeneous Labels Using Random Walk with Dynamic Label Propagation. PAKDD (1) 2016: 3-13 - [i1]Yong Guo, Mingkui Tan, Qingyao Wu, Jian Chen, Anton van den Hengel, Qinfeng Shi:
The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs. CoRR abs/1611.01773 (2016) - 2015
- [j13]Qingyao Wu, Jian Chen, Shen-Shyang Ho, Xutao Li, Huaqing Min, Chao Han:
Multi-Label Regularized Generative Model for Semi-Supervised Collective Classification in Large-Scale Networks. Big Data Res. 2(4): 187-201 (2015) - [j10]Chao Han, Jian Chen, Qingyao Wu, Shuai Mu, Huaqing Min:
Sparse Markov chain-based semi-supervised multi-instance multi-label method for protein function prediction. J. Bioinform. Comput. Biol. 13(5): 1543001:1-1543001:20 (2015)
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last updated on 2024-03-27 20:27 CET by the dblp team
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