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2020 – today
- 2024
[j54]Keming Mao, Xin Jing, Gao Wang, Yachen Chang, Jiale Liu, Yuhai Zhao, Shiyu Yu, Jingyu Liu:
A novel open-source CADs platform for 3D CT pulmonary analysis. Comput. Biol. Medicine 169: 107878 (2024)- [j53]Yejiang Wang
, Yuhai Zhao, Zhengkui Wang, Chengqi Zhang, Xingwei Wang:
Robust Multi-Graph Multi-Label Learning With Dual-Granularity Labeling. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6509-6524 (2024) - [j52]Ying Yin, Yucen Shi, Yuhai Zhao, Fazal Wahab:
Multi-graph learning-based software defect location. J. Softw. Evol. Process. 36(4) (2024) - [j51]Changyong Yu, Tianmei Ren, Wenyu Li, Huimin Liu, Haitao Ma, Yuhai Zhao:
BL: An Efficient Index for Reachability Queries on Large Graphs. IEEE Trans. Big Data 10(2): 108-121 (2024) - [j50]Changyong Yu, Yuhai Zhao, Chu Zhao, Jianyu Jin, Keming Mao, Guoren Wang:
MiniDBG: A Novel and Minimal De Bruijn Graph for Read Mapping. IEEE ACM Trans. Comput. Biol. Bioinform. 21(1): 129-142 (2024) - [c44]Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Wen Shan, Xingwei Wang:
Limited-Supervised Multi-Label Learning with Dependency Noise. AAAI 2024: 15662-15670 - [c43]Yuan Li, Qingxin Kong, Wei Song, Guoli Yang, Yuhai Zhao:
Robust Local Community Search over Large Heterogeneous Information Networks. APWeb/WAIM (3) 2024: 259-276 - [c42]Guozhang Sun, Yuhai Zhao, Yuan Li:
FABLE: Approximate Butterfly Counting in Bipartite Graph Stream with Duplicate Edges. CIKM 2024: 2158-2167 - [c41]Chu Zhao, Shengjie Dong, Yuhai Zhao, Yuan Li:
NeutronCache: An Efficient Cache-Enhanced Distributed Graph Neural Network Training System. CIKM 2024: 3310-3319 - [c40]Yuan Li, Xiuxu Chen, Yuhai Zhao, Wen Shan, Zhengkui Wang, Guoli Yang, Guoren Wang:
Self-Training GNN-based Community Search in Large Attributed Heterogeneous Information Networks. ICDE 2024: 2765-2778 - [c39]Ling Li, Yuhai Zhao, Siqiang Luo, Guoren Wang, Zhengkui Wang:
Efficient Community Search in Edge-Attributed Graphs (Extended Abstract). ICDE 2024: 5731-5732 - [c38]Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Wen Shan, Miaomiao Huang, Meixia Wang, Min Huang, Xingwei Wang:
Towards Robust Multi-Label Learning against Dirty Label Noise. IJCAI 2024: 5581-5589 - 2023
- [j49]Meixia Wang, Yuhai Zhao, Yejiang Wang, Tongze Xu, Yiming Sun:
Image emotion multi-label classification based on multi-graph learning. Expert Syst. Appl. 231: 120641 (2023) - [j48]Hangxu Ji, Su Jiang, Yuhai Zhao, Gang Wu, Guoren Wang, George Y. Yuan:
BS-Join: A novel and efficient mixed batch-stream join method for spatiotemporal data management in Flink. Future Gener. Comput. Syst. 141: 67-80 (2023) - [j47]Hangxu Ji, Gang Wu, Yuhai Zhao, Shiye Wang, Guoren Wang, George Y. Yuan:
joinTree: A novel join-oriented multivariate operator for spatio-temporal data management in Flink. GeoInformatica 27(1): 107-132 (2023) - [j46]Miaomiao Huang, Yuhai Zhao, Yejiang Wang, Fazal Wahab, Yiming Sun, Chen Chen:
Multi-graph multi-label learning with novel and missing labels. Knowl. Based Syst. 276: 110753 (2023) - [j45]Ying Yin, Yuhai Zhao, Yiming Sun, Chen Chen:
Automatic Code Review by Learning the Structure Information of Code Graph. Sensors 23(5): 2551 (2023) - [j44]Changyong Yu, Huimin Liu, Fazal Wahab, Zihan Ling, Tianmei Ren, Haitao Ma, Yuhai Zhao:
Global triangle estimation based on first edge sampling in large graph streams. J. Supercomput. 79(13): 14079-14116 (2023) - [j43]Ling Li, Yuhai Zhao, Siqiang Luo, Guoren Wang, Zhengkui Wang:
Efficient Community Search in Edge-Attributed Graphs. IEEE Trans. Knowl. Data Eng. 35(10): 10790-10806 (2023) - [j42]Xinming Gao, Yongshun Gong, Tiantian Xu, Jinhu Lü, Yuhai Zhao, Xiangjun Dong:
Toward Better Structure and Constraint to Mine Negative Sequential Patterns. IEEE Trans. Neural Networks Learn. Syst. 34(2): 571-585 (2023) - [j41]Ping Qiu, Yongshun Gong, Yuhai Zhao, Longbing Cao, Chengqi Zhang, Xiangjun Dong:
An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1864-1878 (2023) - [j40]Hangxu Ji, Gang Wu, Yuhai Zhao, Liuguo Wei, Guoren Wang, Yuchen Fan:
A fault-tolerant optimization mechanism for spatiotemporal data analysis in flink. World Wide Web (WWW) 26(3): 867-887 (2023) - [c37]Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Meixia Wang:
Robust Self-Supervised Multi-Instance Learning with Structure Awareness. AAAI 2023: 10218-10225 - [c36]Ling Li, Siqiang Luo, Yuhai Zhao, Caihua Shan, Zhengkui Wang, Lu Qin:
COCLEP: Contrastive Learning-based Semi-Supervised Community Search. ICDE 2023: 2483-2495 - [c35]Jing Lu, Yuhai Zhao, Zhengkui Wang, Guoren Wang:
Skyline Micro-Cluster Query: A Novel and Practical Spatial Query. ICDE 2023: 2686-2698 - [c34]Yejiang Wang, Yuhai Zhao, Daniel Zhengkui Wang, Ling Li:
GALOPA: Graph Transport Learning with Optimal Plan Alignment. NeurIPS 2023 - [i2]Qisen Ma, Keming Mao, Gao Wang, Lisheng Xu, Yuhai Zhao:
LCAUnet: A skin lesion segmentation network with enhanced edge and body fusion. CoRR abs/2305.00837 (2023) - 2022
- [j39]Changyong Yu, Pengxi Lin, Yuhai Zhao, Tianmei Ren, Guoren Wang:
A fast and efficient path elimination algorithm for large-scale multiple common longest sequence problems. BMC Bioinform. 23(1): 366 (2022) - [j38]Yanyu Hu, Long Zhao, Zhao Li, Xiangjun Dong, Tiantian Xu, Yuhai Zhao:
Classifying the multi-omics data of gastric cancer using a deep feature selection method. Expert Syst. Appl. 200: 116813 (2022) - [j37]Xue He, Tiancheng Zhang, Minghe Yu, Ge Yu, Yuhai Zhao:
An Extensible Heterogeneous Network Embedding Framework for Knowledge Tracing. Int. J. Softw. Informatics 12(4): 501-515 (2022) - [j36]Boxin Guan, Tiantian Xu, Yuhai Zhao, Yuan Li, Xiangjun Dong:
A random grouping-based self-regulating artificial bee colony algorithm for interactive feature detection. Knowl. Based Syst. 243: 108434 (2022) - [j35]Ling Li, Yuhai Zhao, Yuan Li, Fazal Wahab, Zhengkui Wang:
The most active community search in large temporal graphs. Knowl. Based Syst. 250: 109101 (2022) - [j34]Boxin Guan, Yuhai Zhao, Ying Yin, Yuan Li:
Detecting Disease-Associated SNP-SNP Interactions Using Progressive Screening Memetic Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 878-887 (2022) - [j33]Changyong Yu, Keming Mao, Yuhai Zhao, Cheng Chang, Guoren Wang:
StLiter: A Novel Algorithm to Iteratively Build the Compacted de Bruijn Graph From Many Complete Genomes. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2471-2483 (2022) - [j32]Changyong Yu, Yuhai Zhao, Chu Zhao, Haitao Ma, Guoren Wang:
DiagAF: A More Accurate and Efficient Pre-Alignment Filter for Sequence Alignment. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3404-3415 (2022) - [j31]Jing Lu, Yuhai Zhao, Kian-Lee Tan, Zhengkui Wang:
Distributed Density Peaks Clustering Revisited. IEEE Trans. Knowl. Data Eng. 34(8): 3714-3726 (2022) - [c33]Fangting Li, Yuhai Zhao, Boxin Guan, Yuan Li:
A Distributed Evolutionary Framework for Large-scale SNP-SNP Interaction Detection. BIBM 2022: 212-219 - [c32]Haojie Tao, Keming Mao, Yuhai Zhao:
DBT-UNETR: Double Branch Transformer with Cross Fusion for 3D Medical Image Segmentation. BIBM 2022: 1213-1218 - [c31]Changyong Yu, Peng Liu, Yudi Liu, Haitao Ma, Yuhai Zhao:
TsRss: A Practical Stream data Cleaning Method based on Local Shape Feature. CACML 2022: 796-803 - [c30]Chuanhou Sun, Xiaoqi Jiang, Xiangjun Dong, Tiantian Xu, Long Zhao, Zhao Li, Yuhai Zhao:
Mining Negative Sequential Rules from Negative Sequential Patterns. DASFAA (1) 2022: 459-475 - [c29]Yucen Shi, Ying Yin, Zhengkui Wang, David Lo, Tao Zhang, Xin Xia, Yuhai Zhao, Bowen Xu:
How to better utilize code graphs in semantic code search? ESEC/SIGSOFT FSE 2022: 722-733 - 2021
- [j30]Xiaolin Fan, Yuan Li, Jing Sun, Yuhai Zhao, Guoren Wang:
Effective and Efficient Steiner Maximum Path-Connected Subgraph Search in Large Social Internet of Things. IEEE Access 9: 72820-72834 (2021) - [j29]Boxin Guan, Yuhai Zhao, Yuan Li:
An improved ant colony optimization with an automatic updating mechanism for constraint satisfaction problems. Expert Syst. Appl. 164: 114021 (2021) - [j28]Boxin Guan, Yuhai Zhao, Ying Yin, Yuan Li:
A differential evolution based feature combination selection algorithm for high-dimensional data. Inf. Sci. 547: 870-886 (2021) - [j27]Ying Yin, Yuhai Zhao, He Li, Xiangjun Dong:
Multi-objective evolutionary clustering for large-scale dynamic community detection. Inf. Sci. 549: 269-287 (2021) - [j26]Yuan Li, Jinsheng Liu, Huiqun Zhao, Jing Sun, Yuhai Zhao, Guoren Wang:
Efficient continual cohesive subgraph search in large temporal graphs. World Wide Web 24(5): 1483-1509 (2021) - [c28]Xiaofei Yue, Lan Shi, Yuhai Zhao, Hangxu Ji, Guoren Wang:
Online Runtime Prediction Method for Distributed Iterative Jobs. WISA 2021: 156-168 - [c27]Hangxu Ji, Gang Wu, Yuhai Zhao, Ye Yuan, Guoren Wang:
Multi-job Merging Framework and Scheduling Optimization for Apache Flink. DASFAA (1) 2021: 20-36 - [c26]Jing Lu, Yuhai Zhao, Kian-Lee Tan, Zhengkui Wang:
Distributed Density Peaks Clustering Revisited (Extended Abstract). ICDE 2021: 2352-2353 - [c25]Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Chengqi Zhang:
Multi-graph Multi-label Learning with Dual-granularity Labeling. KDD 2021: 2327-2337 - [c24]Yanjie Jiang, Hui Liu, Yuxia Zhang, Nan Niu, Yuhai Zhao, Lu Zhang:
Which abbreviations should be expanded? ESEC/SIGSOFT FSE 2021: 578-589 - [c23]Jie Dai, Yuan Li, Xiaolin Fan, Jing Sun, Yuhai Zhao:
Finding Early Bursting Cohesive Subgraphs in Large Temporal Networks. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021: 264-271 - 2020
- [j25]Changyong Yu, Xin Qi, Haitao Ma, Xin He, Cuirong Wang, Yuhai Zhao:
LLR: Learning learning rates by LSTM for training neural networks. Neurocomputing 394: 41-50 (2020) - [j24]Yuhai Zhao, Xiangjun Dong, Ying Yin:
Effective and Efficient Dense Subgraph Query in Large-Scale Social Internet of Things. IEEE Trans. Ind. Informatics 16(4): 2726-2736 (2020) - [j23]Yuan Li, Guoren Wang, Yuhai Zhao, Feida Zhu, Yubao Wu:
Towards k-vertex connected component discovery from large networks. World Wide Web 23(2): 799-830 (2020) - [c22]Yuan Li, Xiaolin Fan, Jing Sun, Yuhai Zhao, Guoren Wang:
Detecting Statistically Significant Events in Large Heterogeneous Attribute Graphs via Densest Subgraphs. KSEM (1) 2020: 107-120 - [i1]Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Chengqi Zhang:
Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning. CoRR abs/2012.10650 (2020)
2010 – 2019
- 2019
- [j22]Boxin Guan, Yuhai Zhao, Yuan Li:
DESeeker: Detecting Epistatic Interactions Using a Two-Stage Differential Evolution Algorithm. IEEE Access 7: 69604-69613 (2019) - [j21]Changyong Yu, Xin He, Haitao Ma, Xin Qi, Jiarui Lu, Yuhai Zhao:
S-DenseNet: A DenseNet Compression Model Based on Convolution Grouping Strategy Using Skyline Method. IEEE Access 7: 183604-183613 (2019) - [j20]Boxin Guan, Yuhai Zhao, Yuan Li:
An Ant Colony Optimization Based on Information Entropy for Constraint Satisfaction Problems. Entropy 21(8): 766 (2019) - [j19]Yuan Li, Yuhai Zhao, Guoren Wang, Zhanghui Wang, Min Gao:
ELM-Based Large-Scale Genetic Association Study via Statistically Significant Pattern. IEEE Trans. Syst. Man Cybern. Syst. 49(10): 2175-2188 (2019) - 2018
- [j18]Boxin Guan, Yuhai Zhao, Wenjuan Sun:
Ant colony optimization with an automatic adjustment mechanism for detecting epistatic interactions. Comput. Biol. Chem. 77: 354-362 (2018) - [j17]Jun Pang, Yuhai Zhao, Jia Xu, Yu Gu, Ge Yu:
Super-Graph Classification Based on Composite Subgraph Features and Extreme Learning Machine. Cogn. Comput. 10(6): 922-936 (2018) - [j16]Zixuan Zhu, Yuhai Zhao:
Multi-Graph Multi-Label Learning Based on Entropy. Entropy 20(4): 245 (2018) - 2017
- [j15]Yuan Li, Yuhai Zhao, Guoren Wang, Xiaofeng Zhu, Xiang Zhang, Zhanghui Wang, Jun Pang:
Finding susceptible and protective interaction patterns in large-scale genetic association study. Frontiers Comput. Sci. 11(3): 541-554 (2017) - [j14]Yaxin Yu, Yuhai Zhao, Ge Yu, Guoren Wang:
Mining coterie patterns from Instagram photo trajectories for recommending popular travel routes. Frontiers Comput. Sci. 11(6): 1007-1022 (2017) - [j13]Ying Yin, Yuhai Zhao, Bin Zhang, Chenguang Li, Song Guo:
Enhancing ELM by Markov Boundary based feature selection. Neurocomputing 261: 57-69 (2017) - [j12]Zhanghui Wang, Yuhai Zhao, Ye Yuan, Guoren Wang, Lei Chen:
Extreme Learning Machine for large-scale graph classification based on MapReduce. Neurocomputing 261: 106-114 (2017) - [c21]Yuan Li, Yuhai Zhao, Guoren Wang, Feida Zhu, Yubao Wu, Shengle Shi:
Effective k-Vertex Connected Component Detection in Large-Scale Networks. DASFAA (2) 2017: 404-421 - 2016
- [j11]Yuhai Zhao, Guoren Wang, Ying Yin, Yuan Li, Zhanghui Wang:
Improving ELM-based microarray data classification by diversified sequence features selection. Neural Comput. Appl. 27(1): 155-166 (2016) - [c20]Ying Yin, Liang Chen, Yuhai Zhao, He Li, Bin Zhang, Yongming Yan:
An Efficient and Effective Overlapping Communities Discovery Based on Agglomerative Graph. ICWS 2016: 708-711 - 2015
- [j10]Yuhai Zhao, Yuan Li, Ying Yin, Gang Sheng:
Finding Top-k Covering Irreducible Contrast Sequence Rules for Disease Diagnosis. Comput. Math. Methods Medicine 2015: 353146:1-353146:11 (2015) - [j9]Zhanghui Wang, Yuhai Zhao, Guoren Wang, Yuan Li, Xue Wang:
On extending extreme learning machine to non-redundant synergy pattern based graph classification. Neurocomputing 149: 330-339 (2015) - [c19]Zhanghui Wang, Yuhai Zhao, Guoren Wang, Yurong Cheng:
Large-Scale Graph Classification Based on Evolutionary Computation with MapReduce. APWeb 2015: 227-243 - [c18]Ying Yin, Yuhai Zhao, Bin Zhang:
GDC: An efficient tag recommendation algorithm. FSKD 2015: 1382-1387 - 2014
- [j8]Yuhai Zhao, Guoren Wang, Xiang Zhang, Jeffrey Xu Yu, Zhanghui Wang:
Learning Phenotype Structure Using Sequence Model. IEEE Trans. Knowl. Data Eng. 26(3): 667-681 (2014) - [j7]Junchang Xin, Zhiqiong Wang, Chen Chen, LinLin Ding, Guoren Wang, Yuhai Zhao:
ELM ∗ : distributed extreme learning machine with MapReduce. World Wide Web 17(5): 1189-1204 (2014) - [c17]Hao Cheng, Yuhai Zhao, Ying Yin, Li-Jun Zhang:
An Incremental Updating Based Fast Phenotype Structure Learning Algorithm. ICIC (3) 2014: 92-103 - 2013
- [c16]Ying Yin, Tiancheng Zhang, Bin Zhang, Gang Sheng, Yuhai Zhao, Ming Li:
An Active Service Reselection Triggering Mechanism. APWeb 2013: 621-628 - [c15]Zesheng Sun, Yuhai Zhao, Dengke Meng, He Pan:
An efficient projected partition algorithm based on the order among genes. FSKD 2013: 700-707 - [c14]Baiyou Qiao, Kai Zhang, Yanpeng Guo, Yutong Li, Yuhai Zhao, Guoren Wang:
Weight Based Live Migration of Virtual Machines. PAKDD Workshops 2013: 543-554 - 2011
- [j6]Xiangguo Zhao, Guoren Wang, Xin Bi, Peizhen Gong, Yuhai Zhao:
XML document classification based on ELM. Neurocomputing 74(16): 2444-2451 (2011) - [c13]Yuhai Zhao, Guoren Wang, Yuan Li, Zhanghui Wang:
Finding Novel Diagnostic Gene Patterns Based on Interesting Non-redundant Contrast Sequence Rules. ICDM 2011: 972-981 - 2010
- [j5]Guoren Wang, Yuhai Zhao, Xiangguo Zhao, Botao Wang, Baiyou Qiao:
Efficiently mining local conserved clusters from gene expression data. Neurocomputing 73(7-9): 1425-1437 (2010) - [j4]Guoren Wang, Linjun Yin, Yuhai Zhao, Keming Mao:
Efficiently Mining Time-Delayed Gene Expression Patterns. IEEE Trans. Syst. Man Cybern. Part B 40(2): 400-411 (2010) - [c12]Changyong Yu, Guoren Wang, Yuhai Zhao, Keming Mao:
A Multi-stage Spectral Alignment Strategy for Unrestrictive PTM Peptide Identification. BIBE 2010: 7-13
2000 – 2009
- 2009
- [j3]Guoren Wang, Ge Yu, Junchang Xin, Yuhai Zhao, Ende Zhang:
Fast filtering false active subspaces for efficient high dimensional similarity processing. Sci. China Ser. F Inf. Sci. 52(2): 286-294 (2009) - [c11]Ying Yin, Bin Zhang, Xizhe Zhang, Yuhai Zhao:
A self-healing composite Web service model. APSCC 2009: 307-312 - [c10]Changyong Yu, Guoren Wang, Yuhai Zhao, Keming Mao, Junjie Wu, Wendan Zhai:
Generating Peptide Sequence Tags for Peptide Identification via Tandem Mass Spectrometry. BIBE 2009: 200-207 - 2008
- [j2]Yuhai Zhao, Jeffrey Xu Yu, Guoren Wang, Lei Chen, Bin Wang, Ge Yu:
Maximal Subspace Coregulated Gene Clustering. IEEE Trans. Knowl. Data Eng. 20(1): 83-98 (2008) - 2007
- [j1]Yuhai Zhao, Guoren Wang, Ying Yin, Guangyu Xu:
A Novel Approach to Revealing Positive and Negative Co-Regulated Genes. J. Comput. Sci. Technol. 22(2): 261-272 (2007) - [c9]Zhipeng Wang, Yuhai Zhao, Ying Yin:
A Novel Local Features-Based Approach for Clustering Microarray Data. CIS 2007: 186-190 - [c8]Ying Yin, Yuhai Zhao, Bin Zhang:
Identifying Synchronous and Asynchronous Co-regulations from Time Series Gene Expression Data. PAKDD 2007: 1046-1054 - [c7]Ying Yin, Yuhai Zhao, Bin Zhang, Guoren Wang:
Mining Time-Shifting Co-regulation Patterns from Gene Expression Data. APWeb/WAIM 2007: 62-73 - 2006
- [c6]Yuhai Zhao, Guoren Wang, Ying Yin, Guangyu Xu:
Mining Maximal Local Conserved Gene Clusters from Microarray Data. ADMA 2006: 356-363 - [c5]Linjun Yin, Guoren Wang, Keming Mao, Yuhai Zhao:
Mining Time-Delayed Coherent Patterns in Time Series Gene Expression Data. ADMA 2006: 711-722 - [c4]Yifei Ma, Guoren Wang, Yongguang Li, Yuhai Zhao:
EDAM: An Efficient Clique Discovery Algorithm with Frequency Transformation for Finding Motifs. APBC 2006: 119-128 - [c3]Yuhai Zhao, Guoren Wang, Ying Yin, Ge Yu:
Mining Positive and Negative Co-regulation Patterns from Microarray Data. BIBE 2006: 86-93 - [c2]Ying Yin, Bin Zhang, Yuhai Zhao, Guoren Wang:
Mining the Most Interesting Patterns from Multiple Phenotypes Medical Data. RSCTC 2006: 696-705 - [c1]Yuhai Zhao, Ying Yin, Guoren Wang:
Mining Biologically Significant Co-regulation Patterns from Microarray Data. RSKT 2006: 408-414
Coauthor Index
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