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Zhihai Wang
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2020 – today
- 2024
- [j43]Shengbo Chen, Jidong Yuan, Zhihai Wang, Yongqi Sun:
Local perturbation-based black-box federated learning attack for time series classification. Future Gener. Comput. Syst. 158: 488-500 (2024) - [j42]Yusong Liu, Zhihai Wang, Jichuan Huang, Liyan Zhang
:
Robust Point Cloud Registration for Aircraft Engine Pipeline Systems. Sensors 24(11): 3358 (2024) - [j41]Jiusheng Han
, Yunhe Cao
, Tat Soon Yeo
, Luo Zuo, Yuefei Yan
, Daoyi Su
, Zhihai Wang
, Wenzhi Wu, Congsi Wang
:
Simultaneous Scene Imaging and GMTI Scheme With Multiple Beamforming for Hypersonic Vehicle-Borne Dive-Trajectory MC-SAR. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [c56]Haotian Ling, Zhihai Wang, Jie Wang:
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming. AAAI 2024: 20759-20767 - [i8]Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao:
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. CoRR abs/2401.05960 (2024) - [i7]Haotian Ling, Zhihai Wang, Jie Wang:
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming. CoRR abs/2401.17527 (2024) - [i6]Jie Wang, Zhihai Wang, Xijun Li, Yufei Kuang, Zhihao Shi, Fangzhou Zhu, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu:
Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming. CoRR abs/2404.12638 (2024) - 2023
- [j40]Shilei Hao, Zhihai Wang, Jidong Yuan:
Local morphological patterns for time series classification. Intell. Data Anal. 27(3): 653-674 (2023) - [j39]Chixuan Wei, Zhihai Wang, Jidong Yuan, Chuanming Li, Shengbo Chen:
Time-frequency based multi-task learning for semi-supervised time series classification. Inf. Sci. 619: 762-780 (2023) - [j38]Shilei Hao
, Zhihai Wang, Afanasiev D. Alexander
, Jidong Yuan
, Wei Zhang:
MICOS: Mixed supervised contrastive learning for multivariate time series classification. Knowl. Based Syst. 260: 110158 (2023) - [j37]Zhengjiang Feng, Zhihai Wang
, Xiaoqin Liu
, Jiahui Li:
Rolling Bearing Performance Degradation Assessment with Adaptive Sensitive Feature Selection and Multi-Strategy Optimized SVDD. Sensors 23(3): 1110 (2023) - [j36]Jiahui Li, Zhihai Wang
, Xiaoqin Liu
, Zhengjiang Feng:
Remaining Useful Life Prediction of Rolling Bearings Using GRU-DeepAR with Adaptive Failure Threshold. Sensors 23(3): 1144 (2023) - [j35]Pengying Xu
, Jiusheng Han
, Yan Wang
, Yuefei Yan
, Zhaoyang Xing
, Zhihai Wang
, Kunpeng Yu
, Dengfeng Wang
, Tat Soon Yeo
, Congsi Wang
:
A Novel HLAPAA Sensor Placement Method With Adaptive Double Population Gray Wolf Optimizer. IEEE Trans. Instrum. Meas. 72: 1-17 (2023) - [c55]Zhihai Wang, Taoxing Pan, Qi Zhou, Jie Wang:
Efficient Exploration in Resource-Restricted Reinforcement Learning. AAAI 2023: 10279-10287 - [c54]Jingjing Xiao, Fenfen Guo, Yuhui Zhang, Zhihai Wang, Zan Liu, Qingyu Xue, Zhengquan Li:
An Exploration of Operational Image Recognition Application for Agricultural Meteorological Observation Based on YOLO5 Framework. Agro-Geoinformatics 2023: 1-5 - [c53]Shilei Hao, Zhihai Wang, Chixuan Wei:
TCHA: Contrastive Learning via Hybrid Granularities and Adaptive Sampling for Multivariate Time Series. HPCC/DSS/SmartCity/DependSys 2023: 687-695 - [c52]Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu:
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. ICLR 2023 - [i5]Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu:
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. CoRR abs/2302.00244 (2023) - [i4]Zhihai Wang, Lei Chen, Jie Wang, Xing Li, Yinqi Bai, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu:
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design. CoRR abs/2309.03208 (2023) - [i3]Yufei Kuang, Xijun Li, Jie Wang, Fangzhou Zhu, Meng Lu, Zhihai Wang, Jia Zeng, Houqiang Li, Yongdong Zhang, Feng Wu:
Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning. CoRR abs/2310.11845 (2023) - 2022
- [j34]Xiaole Ma
, Zhihai Wang, Shaohai Hu, Shichao Kan:
Multi-Focus Image Fusion Based on Multi-Scale Generative Adversarial Network. Entropy 24(5): 582 (2022) - [j33]Jidong Yuan
, Mohan Shi, Zhihai Wang, Haiyang Liu, Jinyang Li:
Random pairwise shapelets forest: an effective classifier for time series. Knowl. Inf. Syst. 64(1): 143-174 (2022) - [j32]Xiaoxian Xu
, Pengying Xu
, Yan Wang
, Zhihai Wang
, Kunpeng Yu
, Haitao Shi
, Dongming Ge
, Xiaofei Ma
, Guojun Leng
, Meng Wang
, Congsi Wang
:
Intelligent Design of Reconfigurable Microstrip Antenna Based on Adaptive Immune Annealing Algorithm. IEEE Trans. Instrum. Meas. 71: 1-14 (2022) - [c51]Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li:
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic. AAAI 2022: 8612-8620 - [c50]Song Zixuan, Zhihai Wang, Xi Chen, Jingang Gui, Yaohong Wang:
Alginate hydrogel microcapsules produced by coaxial electrohydrodynamic method. NEMS 2022: 44-47 - [i2]Zhihai Wang, Taoxing Pan, Qi Zhou, Jie Wang:
Efficient Exploration in Resource-Restricted Reinforcement Learning. CoRR abs/2212.06988 (2022) - 2021
- [j31]Haiqi Wang
, Liuke Li
, Lei Che, Haoran Kong, Qiong Wang, Zhihai Wang, Jianbo Xu:
Geospatial Least Squares Support Vector Regression Fused with Spatial Weight Matrix. ISPRS Int. J. Geo Inf. 10(11): 714 (2021) - [j30]Xiaole Ma
, Zhihai Wang, Shaohai Hu:
Multi-focus image fusion based on multi-scale sparse representation. J. Vis. Commun. Image Represent. 81: 103328 (2021) - [j29]Haiqi Wang
, Haoran Kong
, Bin Yan, Liuke Li, Jianbo Xu, Zhihai Wang, Qiong Wang:
A New MSGSA-Optimized Dynamic Window of Spatiotemporal Scan Statistics for Disease Outbreak Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 10821-10834 (2021) - [c49]Jingjing Xiao, Chong Chen, Yuhui Zhang, Zhihai Wang, Fenfen Guo, Yiping Yao, Zhengquan Li:
Design and Implementation of Intelligent Agricultural Meteorological App*. Agro-Geoinformatics 2021: 1-4 - [c48]Weijie Bao, Shengnan Sun, Zhihai Wang, Yaohong Wang:
Micro-droplet of Particulate Suspension Generated by a Pneumatic Ejection System. NEMS 2021: 904-908 - [c47]Yue Zhang, Zhihai Wang, Jidong Yuan:
A Proximity Forest for Multivariate Time Series Classification. PAKDD (1) 2021: 766-778 - [i1]Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li:
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic. CoRR abs/2112.10504 (2021) - 2020
- [j28]Bai Yan
, Qi Zhao
, J. Andrew Zhang
, Zhihai Wang:
Multi-Objective Sparse Reconstruction With Transfer Learning and Localized Regularization. IEEE Access 8: 184920-184933 (2020) - [j27]Wei Zhang
, Zhihai Wang, Jidong Yuan
, Shilei Hao:
Discriminative Dictionary Learning for Time Series Classification. IEEE Access 8: 185032-185044 (2020) - [j26]Wei Zhang
, Zhihai Wang, Jidong Yuan
, Shilei Hao:
Shapelet Discovery by Lazy Time Series Classification. Comput. Intell. Neurosci. 2020: 1978310:1-1978310:19 (2020) - [j25]Haiyang Liu, Zhihai Wang, Yange Sun:
Stacking model of multi-label classification based on pruning strategies. Neural Comput. Appl. 32(22): 16763-16774 (2020) - [j24]Dongxiao Wang
, Xiaoqin Liu, Xing Wu, Zhihai Wang:
Reconstruction of Periodic Band Limited Signals from Non-Uniform Samples with Sub-Nyquist Sampling Rate. Sensors 20(21): 6246 (2020)
2010 – 2019
- 2019
- [j23]Yashu Liu
, Yu-Kun Lai, Zhihai Wang, Han-Bing Yan:
A New Learning Approach to Malware Classification Using Discriminative Feature Extraction. IEEE Access 7: 13015-13023 (2019) - [j22]Yange Sun, Zhihai Wang, Jidong Yuan, Wei Zhang:
Tracking recurring concepts from evolving data streams using ensemble method. Int. Arab J. Inf. Technol. 16(6): 1044-1052 (2019) - [j21]Jidong Yuan
, Ahlame Douzal Chouakria, Saeed Varasteh Yazdi, Zhihai Wang:
A large margin time series nearest neighbour classification under locally weighted time warps. Knowl. Inf. Syst. 59(1): 117-135 (2019) - [c46]Jidong Yuan, Qianhong Lin, Wei Zhang, Zhihai Wang:
Locally Slope-based Dynamic Time Warping for Time Series Classification. CIKM 2019: 1713-1722 - [c45]Bai Yan
, Qi Zhao
, J. Andrew Zhang
, Yonghui Li, Zhihai Wang:
Convergence Acceleration for Multiobjective Sparse Reconstruction via Knowledge Transfer. EMO 2019: 475-487 - [c44]Xi Chen, Yiwei Wang, Weijie Bao, Can Wang, Zhihai Wang, Jingang Gui:
Cell Printing by a Hybrid Pneumatic-electrohydrodynamic Method. ICBBS 2019: 130-134 - [c43]Yiwen Liu, Qingqing Ji, Quankai Zheng, Huaiyu Wu, Zhihai Wang, Gang Xiong
:
Security Assessment of a Partially Decentralized Blockchain System. SOLI 2019: 242-247 - [c42]Yiwen Liu, Xiuqin Shang, Zhen Shen, Bin Hu, Zhihai Wang, Gang Xiong
:
3D Deep Learning for 3D Printing of Tooth Model. SOLI 2019: 274-279 - 2018
- [j20]Yange Sun
, Zhihai Wang
, Yang Bai, Honghua Dai, Saeid Nahavandi:
A Classifier Graph Based Recurring Concept Detection and Prediction Approach. Comput. Intell. Neurosci. 2018: 4276291:1-4276291:13 (2018) - [j19]Jidong Yuan, Zhihai Wang, Yange Sun, Wei Zhang, Jingjing Jiang:
An effective pattern-based Bayesian classifier for evolving data stream. Neurocomputing 295: 17-28 (2018) - [j18]Bai Yan
, Qi Zhao
, Zhihai Wang, J. Andrew Zhang
:
Adaptive decomposition-based evolutionary approach for multiobjective sparse reconstruction. Inf. Sci. 462: 141-159 (2018) - [j17]Zhidong Zhang, Zhihai Wang, Haiyang Liu, Yange Sun:
一种基于树型贝叶斯网络的集成多标记分类算法 (Ensemble Multi-label Classification Algorithm Based on Tree-Bayesian Network). 计算机科学 45(3): 189-195 (2018) - [j16]Congsi Wang
, Shuai Yuan
, Xiaodong Yang
, Wei Gao, Cheng Zhu, Zhihai Wang, Shaoxi Wang
, Xuelin Peng:
Position Tolerance Design Method for Array Antenna in Internet of Things. Wirel. Commun. Mob. Comput. 2018 (2018) - [c41]Fenfen Guo, Yiping Yao, Jingjing Xiao, Zhifeng Jin, Dehui Yuan, Zhihai Wang:
The System Supervising and Warning the Agricultural Meteorological Disaster of Zhejiang Based on WebGIS* Sponsored by Zhejiang science and technology plan project (2015C02048, 2015C33055), "12th Five-Year" National Science and technology support program topic (2012BAD20B02) and China Meteorological Administration climate change special issue (CCSF201427). Agro-Geoinformatics 2018: 1-5 - [c40]Shirui Li, Zhihai Wang, Jingfeng Huang:
Evaluation of Tea Frost Risk in Zhejiang Province Based on GIS. Agro-Geoinformatics 2018: 1-4 - [c39]Jingjing Xiao, Yi-Ping Yao, Zhifeng Jin, Fenfen Guo, Zhihai Wang, Dehui Yuan, Han Zhang:
Design and Implementation of Agricultural Meteorological Service Platform of Zhejiang Province Based on WebGIS* Sponsored by Zhejiang science and technology plan project (2015C02048, 2015C33055), "12th Five-Year" National Science and technology support program topic (2012BAD20B02), China Meteorological Administration climate change special issue (CCSF201427). Agro-Geoinformatics 2018: 1-5 - [c38]Yashu Liu, Zhihai Wang, Shu Tian:
Security Against Network Attacks on Web Application System. CNCERT 2018: 145-152 - [c37]Haiyang Liu, Zhihai Wang, Phillip Benachour
, Philip Tubman
:
A Time Series Classification Method for Behaviour-Based Dropout Prediction. ICALT 2018: 191-195 - [c36]Meng Wang, Zhihai Wang, Can Wang, Fei Wang, Xi Chen:
Bioprinting: The Influence of Pneumatic Microdrop-on-Demand Printing Process on Cell Viability. ICBET 2018: 89-95 - [c35]Fei Wang, Jiangeng Li, Yiwei Wang, Weijie Bao, Zhixuan Er, Xiaoyi Wang, Keyan Ren, Zhihai Wang:
Prediction of Ejection State for a Pneumatic Valve-Controlled Micro-Droplet Generator by a BP Neural Network. ICMLA 2018: 977-982 - [c34]Fei Wang, Jiangeng Li, Yiwei Wang, Weijie Bao, Xiao Chen, Hui Zhang, Zhihai Wang:
Feedback control of ejection state of a pneumatic valve-controlled micro-droplet generator through machine vision. ICMV 2018: 110410L - [c33]Wei Zhang, Zhihai Wang, Jidong Yuan, Shilei Hao:
An Effective Lazy Shapelet Discovery Algorithm for Time Series Classification. ICONIP (6) 2018: 46-55 - [c32]Mohan Shi, Zhihai Wang, Jidong Yuan, Haiyang Liu:
Random Pairwise Shapelets Forest. PAKDD (1) 2018: 68-80 - [c31]Zhuoya Ju, Zhihai Wang, Shiqiang Wang:
A Lazy One-Dependence Classification Algorithm Based on Selective Patterns. PRICAI 2018: 113-120 - 2017
- [j15]Jingjing Jiang, Zhihai Wang, Jidong Yuan:
一种基于数据流模式表示的半懒惰式分类算法 (Partially-lazy Learning Classification Algorithm Based on Representation of Data Stream Model). 计算机科学 44(7): 167-174 (2017) - [j14]Yange Sun, Zhihai Wang, Dan Huang:
基于时间的局部低秩张量分解的协同过滤推荐算法 (Time-based Local Collaborative Filtering Recommendation Algorithm on Tensor Factorization). 计算机科学 44(7): 227-231 (2017) - [j13]Bai Yan
, Qi Zhao, Zhihai Wang, Xinyuan Zhao:
A hybrid evolutionary algorithm for multiobjective sparse reconstruction. Signal Image Video Process. 11(6): 993-1000 (2017) - [c30]Manli Hou, Zhihai Wang:
Genetic Algorithm Based on Attribute Correlation for Multi-label Classification. ICMLSC 2017: 88-92 - [c29]Jidong Yuan, Zhihai Wang, Yange Sun, Wei Zhang, Jingjing Jiang:
A Pattern-Based Bayesian Classifier for Data Stream. ICONIP (4) 2017: 868-877 - 2016
- [j12]Yange Sun
, Zhihai Wang, Haiyang Liu, Chao Du, Jidong Yuan:
Online Ensemble Using Adaptive Windowing for Data Streams with Concept Drift. Int. J. Distributed Sens. Networks 12(5): 4218973:1-4218973:9 (2016) - 2015
- [j11]Meng Han, Zhihai Wang, Jidong Yuan:
Mining closed and multi-supports-based sequential pattern in high-dimensional dataset. Int. Arab J. Inf. Technol. 12(4): 360-369 (2015) - [j10]Jidong Yuan, Zhihai Wang, Meng Han, Yange Sun:
A lazy associative classifier for time series. Intell. Data Anal. 19(5): 983-1002 (2015) - [j9]Jidong Yuan, Zhihai Wang:
时间序列的表示与分类算法综述 (Review of Time Series Representation and Classification Techniques). 计算机科学 42(3): 1-7 (2015) - [c28]Zhihai Wang, Weidong Chen:
A Simple Local Search Algorithm for Minimizing Interference in Wireless Sensor Networks. ICA3PP (Workshops and Symposiums) 2015: 791-799 - [c27]Bin Fu, Guandong Xu, Longbing Cao
, Zhihai Wang, Zhiang Wu:
Coupling Multiple Views of Relations for Recommendation. PAKDD (2) 2015: 732-743 - 2014
- [j8]Jidong Yuan, Zhihai Wang, Meng Han:
A Discriminative Shapelets Transformation for Time Series Classification. Int. J. Pattern Recognit. Artif. Intell. 28(6) (2014) - [j7]Meng Han, Zhihai Wang, Yashu Liu:
Selecting One Dependency Estimators in Bayesian Network Using Different MDL Scores and Overfitting Criterion. J. Inf. Sci. Eng. 30(2): 371-385 (2014) - [j6]Meng Han, Zhihai Wang, Jidong Yuan:
Efficient Method for Mining Patterns from Highly Similar and Dense Database based on Prefix-Frequent-Items. J. Softw. 9(8): 2080-2086 (2014) - [j5]Bin Fu, Zhihai Wang, Guandong Xu, Longbing Cao
:
Multi-label learning based on iterative label propagation over graph. Pattern Recognit. Lett. 42: 85-90 (2014) - 2013
- [j4]Meng Han, Zhihai Wang, Jidong Yuan:
Closed Sequential Pattern Mining in High Dimensional Sequences. J. Softw. 8(6): 1368-1373 (2013) - [c26]Bin Fu, Guandong Xu, Zhihai Wang, Longbing Cao
:
Leveraging Supervised Label Dependency Propagation for Multi-label Learning. ICDM 2013: 1061-1066 - 2012
- [c25]Bin Fu, Zhihai Wang, Rong Pan, Guandong Xu, Peter Dolog
:
An Integrated Pruning Criterion for Ensemble Learning Based on Classification Accuracy and Diversity. KMO 2012: 47-58 - [c24]Bin Fu, Zhihai Wang, Rong Pan, Guandong Xu, Peter Dolog
:
Learning Tree Structure of Label Dependency for Multi-label Learning. PAKDD (1) 2012: 159-170 - 2010
- [c23]Zhongfeng Wang, Zhihai Wang, Bin Fu:
Learning Robust Bayesian Network Classifiers in the Space of Markov Equivalent Classes. ICDM Workshops 2010: 891-898 - [c22]Zhongfeng Wang, Zhihai Wang, Bin Fu:
Learning Restricted Bayesian Network Classifiers with Mixed Non-i.i.d. Sampling. ICDM Workshops 2010: 899-904 - [c21]Zhigang Li, Zhihai Wang, Weijia Guo:
Shortages of the Traditional Calculation of Interference Intensity of the Control Rules. ICICA (LNCS) 2010: 17-24
2000 – 2009
- 2009
- [c20]Song Wang, Fan Min
, Zhihai Wang, Tianyu Cao:
OFFD: Optimal Flexible Frequency Discretization for Naïve Bayes Classification. ADMA 2009: 704-712 - [c19]Lujie Shao, Zhihai Wang, Shiqiang Wang:
A Smart Design for the TAN Classifier. WKDD 2009: 72-75 - 2008
- [j3]Yongqi Sun, Yuansheng Yang, Zhihai Wang:
The planar Ramsey numbers PR(K4-e, Kk-e). Ars Comb. 88 (2008) - [c18]Yi Ouyang, Yun Ling, Zhihai Wang:
A Parallel Algorithm For Image Semantic Information Searching. ICNC (5) 2008: 304-308 - 2007
- [j2]Wenqian Shang, Houkuan Huang, Haibin Zhu
, Yongmin Lin, Youli Qu, Zhihai Wang:
A novel feature selection algorithm for text categorization. Expert Syst. Appl. 33(1): 1-5 (2007) - [c17]Fengzhan Tian, Haisheng Li, Zhihai Wang:
Learning Bayesian Networks with the Combination of Evolutionary Algorithm and EMI Method. Artificial Intelligence and Pattern Recognition 2007: 435-442 - [c16]Fengzhan Tian, Haisheng Li, Zhihai Wang, Jian Yu:
Learning Bayesian Networks Based on a Mutual Information Scoring Function and EMI Method. ISNN (2) 2007: 414-423 - [c15]Fengzhan Tian, Yanfeng Zhang, Zhihai Wang, Houkuan Huang:
Learning Bayesian Networks Using Evolutionary Algorithm and a Variant of MDL Score. KES (3) 2007: 166-173 - [c14]Fengzhan Tian, Feng Liu, Zhihai Wang, Jian Yu:
Learning Bayesian Networks with Combination of MRMR Criterion and EMI Method. PAKDD 2007: 801-808 - 2006
- [c13]Lianwei Zhao, Siwei Luo, Yanchang Zhao, Lingzhi Liao, Zhihai Wang:
Regularized Semi-supervised Classification on Manifold. PAKDD 2006: 20-29 - 2005
- [j1]Geoffrey I. Webb
, Janice R. Boughton, Zhihai Wang:
Not So Naive Bayes: Aggregating One-Dependence Estimators. Mach. Learn. 58(1): 5-24 (2005) - [c12]Wenqian Shang, Houkuan Huang, Haibin Zhu
, Yongmin Lin, Zhihai Wang, Youli Qu:
An Improved kNN Algorithm - Fuzzy kNN. CIS (1) 2005: 741-746 - [c11]Fengzhan Tian, Zhihai Wang, Jian Yu, Houkuan Huang:
Learning TAN from Incomplete Data. ICIC (1) 2005: 495-504 - 2004
- [c10]Zhihai Wang, Geoffrey I. Webb, Fei Zheng:
Selective Augmented Bayesian Network Classifiers Based on Rough Set Theory. PAKDD 2004: 319-328 - 2003
- [c9]Zhihai Wang, Geoffrey I. Webb, Fei Zheng:
Adjusting Dependence Relations for Semi-Lazy TAN Classifiers. Australian Conference on Artificial Intelligence 2003: 453-465 - [c8]Hongbo Shi, Zhihai Wang, Geoffrey I. Webb
, Houkuan Huang:
A New Restricted Bayesian Network Classifier. PAKDD 2003: 265-270 - [c7]Hongbo Shi, Zhihai Wang, Houkuan Huang:
Improving Classification Performance by Combining Multiple TANClassifiers. RSFDGrC 2003: 631-634 - 2002
- [c6]Zhihai Wang, Geoffrey I. Webb:
A Heuristic Lazy Bayesian Rule Algorithm. AusDM 2002: 57-64 - [c5]Geoffrey I. Webb, Janice R. Boughton, Zhihai Wang:
Averaged One-Dependence Estimators: Preliminary Results. AusDM 2002: 65-74 - [c4]Zhihai Wang, Geoffrey I. Webb:
Comparison of Lazy Bayesian Rule and Tree-Augmented Bayesian Learning. ICDM 2002: 490-497 - 2001
- [c3]Pei-Li Zhou, Zhihai Wang:
A General Tolerance Information System. SCAI 2001: 167-169
1990 – 1999
- 1999
- [c2]Zhihai Wang, Pei-Li Zhou, Zongtian Liu:
Rule Extraction Algorithms Based on Concept Lattice. IC-AI 1999: 38-44 - [c1]Pei-Li Zhou, X. Y. Lin, N. Craske, Zhihai Wang:
Programming with Knowledge Objects. IC-AI 1999: 265-269
Coauthor Index
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