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Chunru Dong
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2020 – today
- 2025
- [j14]Xi-Cheng Li, Feng Zhang, Qiang Hua, Chun-Ru Dong:
A deep spatiotemporal interaction network for multimodal sentimental analysis and emotion recognition. Inf. Sci. 690: 121515 (2025) - 2023
- [j13]Qiang Hua, Pan Li, Jiashuai Zhang, Feng Zhang, Chunru Dong:
Reparametric Sampling for Small Object Image Recognition. Asia Pac. J. Oper. Res. 40(4): 2340009:1-2340009:18 (2023) - [j12]Qiang Hua, Liyou Chen, Chunru Dong, Pan Li, Feng Zhang:
Deep Time-Aware Attention Neural Network for Sequential Recommendation. Asia Pac. J. Oper. Res. 40(5): 2340020:1-2340020:22 (2023) - 2022
- [j11]Feng Zhang, Zi Wei Liu, Chee Peng Lim, Chun-Ru Dong, Qiang Hua:
A model with pseudo-label correction and distribution alignment for image clustering. Comput. Electr. Eng. 104(Part): 108457 (2022) - [j10]Feng Zhang, Xi-Cheng Li, Chee Peng Lim, Qiang Hua, Chun-Ru Dong, Jun-Hai Zhai:
Deep Emotional Arousal Network for Multimodal Sentiment Analysis and Emotion Recognition. Inf. Fusion 88: 296-304 (2022) - [j9]Feng Zhang, Lin Li, Qiang Hua, Chun-Ru Dong, Boon-Han Lim:
Improved deep clustering model based on semantic consistency for image clustering. Knowl. Based Syst. 253: 109507 (2022) - 2020
- [j8]Qiang Hua, Liangliang Wei, Chunru Dong, Feng Zhang:
Improved variational inference with dynamic routing flow. Int. J. Mach. Learn. Cybern. 11(2): 301-312 (2020)
2010 – 2019
- 2018
- [j7]Qiang Hua, Chunru Dong, Feng Zhang:
A Novel Approach to Face Verification Based on Second-Order Face-Pair Representation. Complex. 2018: 2861695:1-2861695:10 (2018) - 2015
- [j6]Dingzhu Lu, Shoubin Dong, Ming Tao, Chunru Dong, Bingcheng Qiu:
A velocity and neighbor density-based broadcast scheme in mobile ad hoc networks. J. High Speed Networks 21(3): 221-235 (2015) - [j5]Ai-Min Fu, Chunru Dong, Lai-Sheng Wang:
An experimental study on stability and generalization of extreme learning machines. Int. J. Mach. Learn. Cybern. 6(1): 129-135 (2015) - [j4]Xizhao Wang, Hong-Jie Xing, Yan Li, Qiang Hua, Chun-Ru Dong, Witold Pedrycz:
A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning. IEEE Trans. Fuzzy Syst. 23(5): 1638-1654 (2015) - 2014
- [j3]Chunru Dong, Wing W. Y. Ng, Xi-Zhao Wang, Patrick P. K. Chan, Daniel S. Yeung:
An improved differential evolution and its application to determining feature weights in similarity-based clustering. Neurocomputing 146: 95-103 (2014) - 2013
- [c8]Chun-Ru Dong, Daniel S. Yeung, Xi-Zhao Wang:
An improved differential evolution and its application to determining feature weights in similarity based clustering. ICMLC 2013: 831-838 - 2011
- [c7]Chunru Dong, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung:
A survey of the initialization of centers and widths in radial basis function network for classification. ICMLC 2011: 1082-1087 - 2010
- [c6]Chunru Dong, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung:
2-Stage instance selection algorithm for KNN based on Nearest Unlike Neighbors. ICMLC 2010: 134-140 - [c5]Xiao-Dong Dai, Lin-Qing Gao, Chun-Ru Dong:
Self-adaptive fuzzification in fuzzy decision tree induction. ICMLC 2010: 296-301
2000 – 2009
- 2009
- [j2]Xi-Zhao Wang, Chun-Ru Dong:
Improving Generalization of Fuzzy IF-THEN Rules by Maximizing Fuzzy Entropy. IEEE Trans. Fuzzy Syst. 17(3): 556-567 (2009) - 2008
- [c4]Chun-Ru Dong, Ran Wang, Xi-Zhao Wang:
Parametric tuning of rule-based systems by maximum fuzzy entropy. SMC 2008: 433-438 - 2007
- [j1]Xizhao Wang, Chunru Dong, Tie-Gang Fan:
Training T-S norm neural networks to refine weights for fuzzy if-then rules. Neurocomputing 70(13-15): 2581-2587 (2007) - [c3]Xi-Zhao Wang, Jian-Hui Yan, Ran Wang, Chun-Ru Dong:
A sample selection algorithm in fuzzy decision tree induction and its theoretical analyses. SMC 2007: 3621-3626 - 2005
- [c2]Degang Chen, Qiang He, Chunru Dong, Xizhao Wang:
A Method to Construct the Mapping to the Feature Space for the Dot Product Kernels. ICMLC 2005: 918-929 - 2004
- [c1]Xizhao Wang, Chunru Dong, Daniel S. Yeung:
A study on generalization capability of weighted fuzzy production rules with maximum entropy. SMC (4) 2004: 3181-3186
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