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2020 – today
- 2021
[j107]Yiyang Yang, Sucheng Deng
, Juan Lu, Yuhong Li, Zhiguo Gong, Leong Hou U, Zhifeng Hao:
GraphLSHC: Towards large scale spectral hypergraph clustering. Inf. Sci. 544: 117-134 (2021)- 2020
- [j106]Zhifeng Hao, Wei-Chang Yeh, Cheng-Feng Hu, Neal N. Xiong, Yi-Zhu Su, Chia-Ling Huang:
A Novel Convolution-Based Algorithm for the Acyclic Network Symbolic Reliability Function Problem. IEEE Access 8: 99337-99345 (2020) - [j105]Min-fan He, Zhifeng Hao, Wei-Chang Yeh, Chia-Chen Kuo, Neal N. Xiong, Yeou-Ren Shiue:
Quickest Multistate Flow Networks With the Deterioration Effect. IEEE Access 8: 145535-145541 (2020) - [j104]Jian Zhu, Zhuo Yang, Hanqiu Sun, Enhua Wu, Ruichu Cai, Zhifeng Hao:
Detail-preserving smoke simulation using an efficient high-order numerical scheme. Sci. China Inf. Sci. 63(6) (2020) - [j103]Lijuan Wang, Jiawen Huang, Ming Yin, Ruichu Cai, Zhifeng Hao:
Block diagonal representation learning for robust subspace clustering. Inf. Sci. 526: 54-67 (2020) - [j102]Jian Zhu, Silong Li, Ruichu Cai, Zhifeng Hao, Guoheng Huang, Bin Sheng, Enhua Wu:
Animating turbulent fluid with a robust and efficient high-order advection method. Comput. Animat. Virtual Worlds 31(4-5) (2020) - [j101]Wei Chen, Ruichu Cai, Zhifeng Hao, Chang Yuan, Feng Xie:
Mining hidden non-redundant causal relationships in online social networks. Neural Comput. Appl. 32(11): 6913-6923 (2020) - [j100]Biao Wu, Wen Wen, Zhifeng Hao, Ruichu Cai:
Multi-context aware user-item embedding for recommendation. Neural Networks 124: 86-94 (2020) - [j99]Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Liang Ou, Ruihui Huang:
A causal discovery algorithm based on the prior selection of leaf nodes. Neural Networks 124: 130-145 (2020) - [j98]Ruichu Cai, Jincheng Ye, Jie Qiao, Huiyuan Fu, Zhifeng Hao:
FOM: Fourth-order moment based causal direction identification on the heteroscedastic data. Neural Networks 124: 193-201 (2020) - [j97]Zhifeng Hao, Wei-Chang Yeh, Ming Zuo, Jing Wang:
Multi-distribution multi-commodity multistate flow network model and its reliability evaluation algorithm. Reliab. Eng. Syst. Saf. 193: 106668 (2020) - [j96]Zhifeng Hao, Wei-Chang Yeh, Zhenyao Liu, Majid Forghani-elahabad:
General multi-state rework network and reliability algorithm. Reliab. Eng. Syst. Saf. 203: 107048 (2020) - [j95]Guizhen Mai, Yinghan Hong, Shen Fu, Yingqing Lin, Zhifeng Hao, Han Huang, Yuanhao Zhu:
Optimization of Lennard-Jones clusters by particle swarm optimization with quasi-physical strategy. Swarm Evol. Comput. 57: 100710 (2020) - [j94]Xueming Yan, Han Huang, Zhifeng Hao, Jiahai Wang:
A Graph-Based Fuzzy Evolutionary Algorithm for Solving Two-Echelon Vehicle Routing Problems. IEEE Trans. Evol. Comput. 24(1): 129-141 (2020) - [j93]Han Huang, Junpeng Su, Yushan Zhang, Zhifeng Hao:
An Experimental Method to Estimate Running Time of Evolutionary Algorithms for Continuous Optimization. IEEE Trans. Evol. Comput. 24(2): 275-289 (2020) - [j92]Xiao-Peng Yang, Zhifeng Hao:
Supereigenvalue Problem to Addition-Min Fuzzy Matrix With Application in P2P File Sharing System. IEEE Trans. Fuzzy Syst. 28(8): 1640-1651 (2020) - [j91]Feng Xie, Ruichu Cai, Yan Zeng, Jiantao Gao, Zhifeng Hao:
An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1667-1680 (2020) - [j90]Ruichu Cai, Jiahao Li, Zhenjie Zhang, Xiaoyan Yang, Zhifeng Hao:
DACH: Domain Adaptation Without Domain Information. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5055-5067 (2020) - [c89]Yajun Huang, Jingbin Zhang, Yiyang Yang, Zhiguo Gong, Zhifeng Hao:
GNNVis: Visualize Large-Scale Data by Learning a Graph Neural Network Representation. CIKM 2020: 545-554 - [c88]Feng Xie, Ruichu Cai, Biwei Huang, Clark Glymour, Zhifeng Hao, Kun Zhang:
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs. NeurIPS 2020 - [i12]Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao:
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. CoRR abs/2009.09176 (2020) - [i11]Feng Xie, Ruichu Cai, Biwei Huang, Clark Glymour, Zhifeng Hao, Kun Zhang:
Generalized Independent Noise Condition for Estimating Linear Non-Gaussian Latent Variable Graphs. CoRR abs/2010.04917 (2020) - [i10]Zhifeng Hao, Di Lv, Zijian Li, Ruichu Cai, Wen Wen, Boyan Xu:
Semi-Supervised Disentangled Framework for Transferable Named Entity Recognition. CoRR abs/2012.11805 (2020) - [i9]Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao:
Learning Disentangled Semantic Representation for Domain Adaptation. CoRR abs/2012.11807 (2020)
2010 – 2019
- 2019
- [j89]Bingfeng Chen, Zhifeng Hao, Xiaofeng Cai, Ruichu Cai, Wen Wen, Jian Zhu, Guangqiang Xie:
Embedding Logic Rules Into Recurrent Neural Networks. IEEE Access 7: 14938-14946 (2019) - [j88]Boyan Xu, Ruichu Cai, Zhenjie Zhang, Xiaoyan Yang, Zhifeng Hao, Zijian Li, Zhihao Liang:
NADAQ: Natural Language Database Querying Based on Deep Learning. IEEE Access 7: 35012-35017 (2019) - [j87]Yaling Zhang, Zhifeng Hao, Shangping Wang:
A Differential Privacy Support Vector Machine Classifier Based on Dual Variable Perturbation. IEEE Access 7: 98238-98251 (2019) - [j86]Yihui Liang, Han Huang, Zhaoquan Cai, Zhifeng Hao, Kay Chen Tan:
Deep infrared pedestrian classification based on automatic image matting. Appl. Soft Comput. 77: 484-496 (2019) - [j85]Yushan Zhang, Han Huang, Hongyue Wu, Zhifeng Hao:
Theoretical analysis of the convergence property of a basic pigeon-inspired optimizer in a continuous search space. Sci. China Inf. Sci. 62(7): 70207:1-70207:9 (2019) - [j84]Peng Shi, Wanyuan Wang, Yifeng Zhou, Jiuchuan Jiang, Yichuan Jiang, Zhifeng Hao, Jianyong Yu:
Practical POMDP-based test mechanism for quality assurance in volunteer crowdsourcing. Enterp. Inf. Syst. 13(7-8): 979-1001 (2019) - [j83]Zhifeng Hao, Wei-Chang Yeh, Jing Wang, Gai-Ge Wang, Bin Sun:
A Quick Inclusion-Exclusion technique. Inf. Sci. 486: 20-30 (2019) - [j82]Fuhan Yan, Jiuchuan Jiang, Kai Di, Yichuan Jiang, Zhifeng Hao:
Multiagent Pursuit-Evasion Problem with the Pursuers Moving at Uncertain Speeds. J. Intell. Robotic Syst. 95(1): 119-135 (2019) - [j81]Wen Wen, Zetian Lin, Ruichu Cai, Zhifeng Hao, Lijuan Wang:
基于嵌入学习的用户动态偏好预测 (Predicting User's Dynamic Preference Based on Embedding Learning). 计算机科学 46(10): 32-38 (2019) - [j80]Peng Shi, Manyu Zhao, Wanyuan Wang, Yifeng Zhou, Jiuchuan Jiang, Jinyu Zhang, Yichuan Jiang, Zhifeng Hao:
Best of both worlds: Mitigating imbalance of crowd worker strategic choices without a budget. Knowl. Based Syst. 163: 1020-1031 (2019) - [j79]Zhifeng Hao, Biao Wu, Wen Wen, Ruichu Cai:
A subgraph-representation-based method for answering complex questions over knowledge bases. Neural Networks 119: 57-65 (2019) - [j78]Yingchao Cheng, Zhifeng Hao, Ruichu Cai:
Auto-scaling for real-time stream analytics on HPC cloud. Serv. Oriented Comput. Appl. 13(2): 169-183 (2019) - [j77]Han Huang, Liang Lv, Shujin Ye, Zhifeng Hao:
Particle swarm optimization with convergence speed controller for large-scale numerical optimization. Soft Comput. 23(12): 4421-4437 (2019) - [j76]Bi Li, Yan Wu, Zhifeng Hao, Xueming Yan, Boyu Chen:
The effects of trust on life satisfaction in the context of WeChat use. Telematics Informatics 42 (2019) - [j75]Yihui Liang, Han Huang, Zhaoquan Cai, Zhifeng Hao:
Multiobjective Evolutionary Optimization Based on Fuzzy Multicriteria Evaluation and Decomposition for Image Matting. IEEE Trans. Fuzzy Syst. 27(5): 1100-1111 (2019) - [j74]Han Huang, Yihui Liang, Xiaowei Yang, Zhifeng Hao:
Pixel-Level Discrete Multiobjective Sampling for Image Matting. IEEE Trans. Image Process. 28(8): 3739-3751 (2019) - [j73]Wanyuan Wang, Zhanpeng He, Peng Shi, Weiwei Wu, Yichuan Jiang, Bo An, Zhifeng Hao, Bing Chen:
Strategic Social Team Crowdsourcing: Forming a Team of Truthful Workers for Crowdsourcing in Social Networks. IEEE Trans. Mob. Comput. 18(6): 1419-1432 (2019) - [j72]Zhifeng Hao, Wei-Chang Yeh, Cheng-Feng Hu:
A Novel Multistate Minimal Cut Vectors Problem and Its Algorithm. IEEE Trans. Reliab. 68(1): 291-301 (2019) - [c87]Yushan Zhang, Han Huang, Zhifeng Hao, Zhou Hong:
Runtime Analysis of Pigeon-Inspired Optimizer Based on Average Gain Model. CEC 2019: 1165-1169 - [c86]Jiaying Chen, Xiaocong Liu, Hang Wei, Qinqun Chen, Jiaming Hong, Qiongna Li, Zhifeng Hao:
Imbalanced Cardiotocography Multi-classification for Antenatal Fetal Monitoring Using Weighted Random Forest. ICSH 2019: 75-85 - [c85]Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery with Cascade Nonlinear Additive Noise Model. IJCAI 2019: 1609-1615 - [c84]Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao:
Learning Disentangled Semantic Representation for Domain Adaptation. IJCAI 2019: 2060-2066 - [c83]Feng Xie, Ruichu Cai, Yan Zeng, Zhifeng Hao:
Causal Discovery of Linear Non-Gaussian Acyclic Model with Small Samples. IScIDE (2) 2019: 381-393 - [c82]Ruichu Cai, Feng Xie, Clark Glymour, Zhifeng Hao, Kun Zhang:
Triad Constraints for Learning Causal Structure of Latent Variables. NeurIPS 2019: 12863-12872 - [i8]Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery with Cascade Nonlinear Additive Noise Models. CoRR abs/1905.09442 (2019) - [i7]Zhifeng Hao, Wei-Chang Yeh, Zhenyao Liu:
General Multi-State Rework Network and Reliability Algorithm. CoRR abs/1912.03309 (2019) - 2018
- [j71]Gang Li, Zhifeng Hao, Han Huang, Hang Wei:
Maximizing Algebraic Connectivity via Minimum Degree and Maximum Distance. IEEE Access 6: 41249-41255 (2018) - [j70]Zhifeng Hao, Yibang Ruan, Yanshan Xiao, Bo Liu:
A multi-task-based classification framework for multi-instance distance metric learning. Neurocomputing 275: 418-429 (2018) - [j69]Yinghan Hong, Zhifeng Hao, Guizhen Mai, Han Huang:
Causal feature selection method based on extended Markov blanket. Int. J. Wirel. Mob. Comput. 15(4): 310-317 (2018) - [j68]Wen Wen, Ying Chen, Ruichu Cai, Zhifeng Hao, Lijuan Wang:
基于多视角多标签学习的读者情绪分类 (Emotion Classification for Readers Based on Multi-view Multi-label Learning). 计算机科学 45(8): 191-197 (2018) - [j67]Jian Zhu, Yu Luo, Xiaohua Ren, Ruichu Cai, Zhifeng Hao, Hanqiu Sun, Enhua Wu:
Synthetic fluid details for the vorticity loss in advection. Comput. Animat. Virtual Worlds 29(3-4) (2018) - [j66]Bo Liu, Yanshan Xiao, Zhifeng Hao:
A Selective Multiple Instance Transfer Learning Method for Text Categorization Problems. Knowl. Based Syst. 141: 178-187 (2018) - [j65]Jinyu Zhang, Xuechun Luo, Yao Zhou, Weiwei Ruan, Y. Jiang, Zhifeng Hao:
Two-way negotiation for intelligent hotel reservation based on multiagent: The model and system. Knowl. Based Syst. 161: 78-89 (2018) - [j64]Xueming Yan, Zhifeng Hao, Han Huang:
Alpha matting with image pixel correlation. Int. J. Mach. Learn. Cybern. 9(4): 621-627 (2018) - [j63]Yushan Zhang, Han Huang, Zhiyong Lin, Zhifeng Hao, Guiwu Hu:
Running-time analysis of evolutionary programming based on Lebesgue measure of searching space. Neural Comput. Appl. 30(2): 617-626 (2018) - [j62]Han Huang, Shujin Ye, Zhun Fan, Zhiyong Lin, Liang Lv, Zhifeng Hao:
Evolutionary programming with a simulated-conformist mutation strategy. Soft Comput. 22(2): 659-676 (2018) - [j61]Jiuchuan Jiang, Bo An, Yichuan Jiang, Donghui Lin, Zhan Bu, Jie Cao, Zhifeng Hao:
Understanding Crowdsourcing Systems from a Multiagent Perspective and Approach. ACM Trans. Auton. Adapt. Syst. 13(2): 8:1-8:32 (2018) - [j60]Han Huang, Fangqing Liu, Zhongming Yang, Zhifeng Hao:
Automated Test Case Generation Based on Differential Evolution With Relationship Matrix for iFogSim Toolkit. IEEE Trans. Ind. Informatics 14(11): 5005-5016 (2018) - [j59]Ruichu Cai, Zhenjie Zhang, Zhifeng Hao, Marianne Winslett:
Sophisticated Merging Over Random Partitions: A Scalable and Robust Causal Discovery Approach. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3623-3635 (2018) - [j58]Yanshan Xiao, Bo Liu, Zhifeng Hao:
Multiple-Instance Ordinal Regression. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4398-4413 (2018) - [c81]Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao:
SELF: Structural Equational Likelihood Framework for Causal Discovery. AAAI 2018: 1787-1794 - [c80]Yao Chen, Libo Huang, Jiong He, Kunyao Zhao, Ruichu Cai, Zhifeng Hao:
HASS: High Accuracy Spike Sorting with Wavelet Package Decomposition and Mutual Information. BIBM 2018: 831-838 - [c79]Zhihao Ye, Ruichu Cai, Zhaohui Liao, Zhifeng Hao, Jinfen Li:
Generating Natural Answers on Knowledge Bases and Text by Sequence-to-Sequence Learning. ICANN (1) 2018: 447-455 - [c78]Ruichu Cai, Qiqi Zhen, Zhifeng Hao:
Identification of Causality Among Gene Mutations Through Local Causal Association Rule Discovery. ICONIP (7) 2018: 465-477 - [c77]Yingchao Cheng, Zhifeng Hao, Ruichu Cai, Wen Wen:
HPC2-ARS: An Architecture for Real-Time Analytic of Big Data Streams. ICWS 2018: 319-322 - [c76]Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery from Discrete Data using Hidden Compact Representation. NeurIPS 2018: 2671-2679 - [c75]Yingchao Cheng, Zhifeng Hao, Ruichu Cai, Wen Wen, Lijuan Wang, Zhongrun Zhou:
Resource-Aware Stream Processing in High Performance Cloud Environment. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 381-388 - 2017
- [j57]Fangqing Liu, Han Huang, Xueqiang Li, Zhifeng Hao:
Automated test data generation based on particle swarm optimisation with convergence speed controller. CAAI Trans. Intell. Technol. 2(2): 73-79 (2017) - [j56]Han Huang, Fangqing Liu, Xiaoyan Zhuo, Zhifeng Hao:
Differential Evolution Based on Self-Adaptive Fitness Function for Automated Test Case Generation. IEEE Comput. Intell. Mag. 12(2): 46-55 (2017) - [j55]Wen Wen, Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Yang Li:
Recognizing activities from partially observed streams using posterior regularized conditional random fields. Neurocomputing 260: 294-301 (2017) - [j54]Han Huang, Hongyue Wu, Yushan Zhang, Zhiyong Lin, Zhifeng Hao:
Running-time Analysis of Ant System Algorithms with Upper-bound Comparison. Int. J. Swarm Intell. Res. 8(4): 1-17 (2017) - [j53]Yanshan Xiao, Bo Liu, Jie Yin, Zhifeng Hao:
A multiple-instance stream learning framework for adaptive document categorization. Knowl. Based Syst. 120: 198-210 (2017) - [j52]Yanshan Xiao, Bo Liu, Zhifeng Hao:
A Sphere-Description-Based Approach for Multiple-Instance Learning. IEEE Trans. Pattern Anal. Mach. Intell. 39(2): 242-257 (2017) - [j51]Ruichu Cai, Zhenjie Zhang, Zhifeng Hao, Marianne Winslett:
Understanding Social Causalities Behind Human Action Sequences. IEEE Trans. Neural Networks Learn. Syst. 28(8): 1801-1813 (2017) - [c74]Fangqing Liu, Han Huang, Zhifeng Hao:
Evolutionary algorithm with convergence speed controller for automated software test data generation problem. CEC 2017: 869-875 - [c73]Zhifeng Hao, Ruichu Cai, Yiyang Yang, Wen Wen, Lixin Liang:
A Dynamic Conditional Random Field Based Framework for Sentence-Level Sentiment Analysis of Chinese Microblog. CSE/EUC (1) 2017: 135-142 - [c72]Yinghan Hong, Zhifeng Hao, Guizhen Mai, Bingfeng Chen, Rui Xie:
An Approach for Inferring Causal Directions from Multi-Dimensional Networks. CSE/EUC (1) 2017: 388-392 - [c71]Xueming Yan, Zhifeng Hao, Han Huang, Hongyue Wu:
Ant colony optimization with human-computer cooperative strategy for two-echelon vehicle routing problem. GECCO (Companion) 2017: 1443-1446 - [c70]Yiyang Yang, Zhiguo Gong, Qing Li, Leong Hou U, Ruichu Cai, Zhifeng Hao:
A Robust Noise Resistant Algorithm for POI Identification from Flickr Data. IJCAI 2017: 3294-3300 - [c69]Ruichu Cai, Feng Xie, Wei Chen, Zhifeng Hao:
An efficient kurtosis-based causal discovery method for linear non-Gaussian acyclic data. IWQoS 2017: 1-6 - [c68]Gang Li, Zhifeng Hao, Hang Wei, Han Huang:
A Construction Graph-Based Evolutionary Algorithm for Traveling Salesman Problem. SEAL 2017: 656-667 - [i6]Ruichu Cai, Zhenjie Zhang, Zhifeng Hao:
SADA: A General Framework to Support Robust Causation Discovery with Theoretical Guarantee. CoRR abs/1707.01283 (2017) - 2016
- [j50]Yushan Zhang, Han Huang, Zhifeng Hao, Guiwu Hu:
First hitting time analysis of continuous evolutionary algorithms based on average gain. Clust. Comput. 19(3): 1323-1332 (2016) - [j49]Zijie Chen, Zhifeng Hao:
A unified multi-label classification framework with supervised low-dimensional embedding. Neurocomputing 171: 1563-1575 (2016) - [j48]Yunzhi Jiang, Wei-Chang Yeh, Zhifeng Hao, Zhenlun Yang:
A cooperative honey bee mating algorithm and its application in multi-threshold image segmentation. Inf. Sci. 369: 171-183 (2016) - [j47]Weiqi Chen, Zhifeng Hao, Ruichu Cai, Xiangzhou Zhang, Yong Hu, Mei Liu:
Multiple-cause discovery combined with structure learning for high-dimensional discrete data and application to stock prediction. Soft Comput. 20(11): 4575-4588 (2016) - [j46]Yanshan Xiao, Bo Liu, Zhifeng Hao:
A Maximum Margin Approach for Semisupervised Ordinal Regression Clustering. IEEE Trans. Neural Networks Learn. Syst. 27(5): 1003-1019 (2016) - [c67]Bingfeng Chen, Zhifeng Hao, Ruichu Cai, Wen Wen, Shenzhi Du:
Sentiment Target Extraction Based on CRFs with Multi-features for Chinese Microblog. APWeb Workshops 2016: 29-41 - [c66]Hang Wei, Zhifeng Hao, Han Huang, Gang Li, Qinqun Chen:
A Real Adjacency Matrix-Coded Differential Evolution Algorithm for Traveling Salesman Problems. BIC-TA (2) 2016: 135-140 - [c65]Xiaoqi Peng, Zhifeng Hao, Han Huang, Hongyue Wu, Fangqing Liu:
Evolutionary Process: Parallelism Analysis of Differential Evolution Algorithm Based on Graph Theory. BIC-TA (2) 2016: 151-162 - [c64]Xueming Yan, Zhifeng Hao, Han Huang, Gang Li:
Human-computer cooperative brain storm optimization algorithm for the two-echelon vehicle routing problem. CEC 2016: 2676-2681 - [c63]Xueming Yan, Han Huang, Zhifeng Hao, Gang Li:
A human-machine cooperative approach for combinatorial optimization problem. ICMLC 2016: 838-843 - [c62]Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao:
Convex Optimization for Linear Query Processing under Approximate Differential Privacy. KDD 2016: 2005-2014 - [c61]Ruichu Cai, Zhenjie Zhang, Srinivasan Parthasarathy, Anthony K. H. Tung, Zhifeng Hao, Wen Zhang:
Multi-Domain Manifold Learning for Drug-Target Interaction Prediction. SDM 2016: 18-26 - [i5]Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao:
Optimal Linear Aggregate Query Processing under Approximate Differential Privacy. CoRR abs/1602.04302 (2016) - 2015
- [j45]Zhifeng Hao, Hao Zhang, Ruichu Cai, Wen Wen, Zhihao Li:
Causal discovery on high dimensional data. Appl. Intell. 42(3): 594-607 (2015) - [j44]Ruichu Cai, Zhifeng Hao, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhenjie Zhang, Shuigeng Zhou:
Deterministic identification of specific individuals from GWAS results. Bioinform. 31(11): 1701-1707 (2015) - [j43]Lijuan Wang, Zhifeng Hao, Ruichu Cai, Wen Wen:
Enhanced soft subspace clustering through hybrid dissimilarity. J. Intell. Fuzzy Syst. 29(4): 1395-1405 (2015) - [j42]Yanshan Xiao, Bo Liu, Philip S. Yu, Zhifeng Hao:
A robust one-class transfer learning method with uncertain data. Knowl. Inf. Syst. 44(2): 407-438 (2015) - [j41]Yunzhi Jiang, Pohsiang Tsai, Zhifeng Hao, Longbing Cao:
Automatic multilevel thresholding for image segmentation using stratified sampling and Tabu Search. Soft Comput. 19(9): 2605-2617 (2015) - [j40]Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao:
Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy. ACM Trans. Database Syst. 40(2): 11:1-11:47 (2015) - [j39]Zhifeng Hao, Li-Juan Wang, Ruichu Cai, Wen Wen:
An improved clustering ensemble method based link analysis. World Wide Web 18(2): 185-195 (2015) - [c60]Wen Wen, Zhifeng Hao, Ruichu Cai:
Mining the Discriminative Word Sets for Bag-of-Words Model Based on Distributional Similarity Graph. APWeb Workshops 2015: 54-70 - [c59]Zhifeng Hao, Yingchao Cheng, Ruichu Cai, Wen Wen, Lijuan Wang:
A Semi-supervised Solution for Cold Start Issue on Recommender Systems. APWeb 2015: 805-817 - [i4]Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao:
Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy. CoRR abs/1502.07526 (2015) - 2014
- [j38]Yanshan Xiao, Bo Liu, Zhifeng Hao, Longbing Cao:
A K-Farthest-Neighbor-based approach for support vector data description. Appl. Intell. 41(1): 196-211 (2014) - [j37]Zhifeng Hao, Ganzhao Yuan, Bernard Ghanem:
BILGO: Bilateral greedy optimization for large scale semidefinite programming. Neurocomputing 127: 247-257 (2014) - [j36]Ruichu Cai, Zhenjie Zhang, Anthony K. H. Tung, Chenyun Dai, Zhifeng Hao:
A general framework of hierarchical clustering and its applications. Inf. Sci. 272: 29-48 (2014) - [j35]Xiaolan Liu, Shaohua Pan, Zhifeng Hao, Zhiyong Lin:
Graph-based semi-supervised learning by mixed label propagation with a soft constraint. Inf. Sci. 277: 327-337 (2014) - [j34]Aimin Hou, Qingqi Zhong, Yurou Chen, Zhifeng Hao:
A Practical Graph Isomorphism Algorithm with Vertex Canonical Labeling. J. Comput. 9(10): 2467-2474 (2014) - [j33]Bo Liu, Yanshan Xiao, Philip S. Yu, Zhifeng Hao, Longbing Cao:
An efficient orientation distance-based discriminative feature extraction method for multi-classification. Knowl. Inf. Syst. 39(2): 409-433 (2014) - [j32]Han Huang, Weijia Lin, Zhiyong Lin, Zhifeng Hao, Andrew Lim:
An evolutionary algorithm based on constraint set partitioning for nurse rostering problems. Neural Comput. Appl. 25(3-4): 703-715 (2014) - [j31]Yanshan Xiao, Bo Liu, Zhifeng Hao, Longbing Cao:
A Similarity-Based Classification Framework for Multiple-Instance Learning. IEEE Trans. Cybern. 44(4): 500-515 (2014) - [j30]