- 蔡瑞初,谢伟浩,郝志峰,王丽娟,温雯.基于多尺度时间递归神经网络的人群异常检测.软件学报,2015,26(11):2884-2896
- Ruichu Cai, Zhenjie Zhang, Anthony Tung, Chenyun Dai, Zhifeng Hao. A General Framework of Hierarchical Clustering and Its Applications[J]. Information Science, 2014: 272, 29-48 (SCI一区)
- Zhifeng Hao, Ganzhao Yuan, Bernard Ghanem: BILGO: Bilateral greedy optimization for large scale semidefinite programming. Neurocomputing 127: 247-257 (2014)
- Lifang He, Xiangnan Kong, Philip S. Yu, Xiaowei Yang, Ann B. Ragin, Zhifeng Hao: DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages. SDM 2014: 127-135
- Ruichu Cai, Chang Yuan, Zhifeng Hao, Wen Wen, Lijuan Wang, Weiqi Chen, Zhihao Li. A Causal Model for Disease Pathway Discovery. Neural Information Processing. 2014,8834: 350-357.
- 谢光强,章云,李杨,田建峰,曾安.多智能体一致性协议可视化仿真平台的设计与实现.计算机科学,2014,41(1):146-151.
- Mei Liu, Ruichu Cai, Yong Hu, ME Matheny, Jianchuan Sun, Jun Hu. Determining molecular predictors of adverse drug reactions with causality analysis based on structure learning[J]. Journal of the American Medical Informatics Association, 2013, 21(2):245-51 (SCI 一区)
- Ganzhao Yuan, Zhenjie Zhang, Bernard Ghanem, Zhifeng Hao: Low-rank quadratic semidefinite programming. Neurocomputing 106: 51-60 (2013)
- Sen Zhao, Zhifeng Hao, Han Huang, Yang Tan: Multi-objective Differential Evolution Algorithm based on Adaptive Mutation and Partition Selection. JCP 8(10): 2695-2700 (2013)
- Lifang He, Xiaowei Yang, Zhifeng Hao: An adaptive class pairwise dimensionality reduction algorithm. Neural Computing and Applications 23(2): 299-310 (2013)
- Zhifeng Hao, Hongfei Wang, Ruichu Cai, Wen Wen: Product named entity recognition for Chinese query questions based on a skip-chain CRF model. Neural Computing and Applications 23(2): 371-379 (2013)
- Ruichu Cai, Zhenjie Zhang, Zhifeng Hao: Causal gene identification using combinatorial V-structure search. Neural Networks 43: 63-71 (2013)
- Zhifeng Hao, Lifang He, Bingqian Chen, Xiaowei Yang: A Linear Support Higher-Order Tensor Machine for Classification. IEEE Transactions on Image Processing 22(7): 2911-2920 (2013)
- Zhifeng Hao, Jinlong Huang, Ruichu Cai, Wen Wen: A Hybrid Approach for Large Scale Causality Discovery. ICIC (3) 2013: 1-6
- Zhifeng Hao, Jie Cheng, Ruichu Cai, Wen Wen, Lijuan Wang: Chinese Sentiment Classification Based on the Sentiment Drop Point. ICIC (3) 2013: 55-60
- 李杨,郝志峰,温雯,谢光强. 差分隐私保护k-means聚类方法研究. 计算机科学, 2013, (03):
- Ruichu Cai, Zhifeng Hao, Wen Wen, Lijuan Wang: Regularized Gaussian Mixture Model based discretization for gene expression data association mining. Appl. Intell. 39(3): 607-613
- Haixiang Yao, Yongzeng Lai, Zhifeng Hao: Uncertain exit time multi-period mean-variance portfolio selection with endogenous liabilities and Markov jumps. Automatica 49(11): 3258-3269 (2013)
- Zhifeng Hao, Ganzhao Yuan, Xiaowei Yang, Zijie Chen: A primal method for multiple kernel learning. Neural Computing and Applications 23(3-4): 975-987 (2013)
- Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu: MODS: Multiple One-class Data Streams Learning from Homogeneous Data. SDM 2013: 722-730
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