Mining Time-Delayed Coherent Patterns in Time Series Gene Expression Data. - Linjun Yin; Guoren Wang; Keming Mao; Yuhai Zhao (ADMA, 2006)

Mining Maximal Local Conserved Gene Clusters from Microarray Data. - Yuhai Zhao; Guoren Wang; Ying Yin; Guangyu Xu (ADMA, 2006)

EDAM: An Efficient Clique Discovery Algorithm with Frequency Transformation for Finding Motifs. - Yifei Ma; Guoren Wang; Yongguang Li; Yuhai Zhao (APBC, 2006)

Mining Positive and Negative Co-regulation Patterns from Microarray Data. - Yuhai Zhao; Guoren Wang; Ying Yin; Ge Yu 001 (BIBE, 2006)

Mining the Most Interesting Patterns from Multiple Phenotypes Medical Data. - Ying Yin; Bin Zhang 001; Yuhai Zhao; Guoren Wang (RSCTC, 2006)

Mining Biologically Significant Co-regulation Patterns from Microarray Data. - Yuhai Zhao; Ying Yin; Guoren Wang (RSKT, 2006)

A Novel Local Features-Based Approach for Clustering Microarray Data. - Zhipeng Wang; Yuhai Zhao; Ying Yin (CIS, 2007)

Identifying Synchronous and Asynchronous Co-regulations from Time Series Gene Expression Data. - Ying Yin; Yuhai Zhao; Bin Zhang 001 (PAKDD, 2007)

Mining Time-Shifting Co-regulation Patterns from Gene Expression Data. - Ying Yin; Yuhai Zhao; Bin Zhang 001; Guoren Wang (APWeb/WAIM, 2007)

A Novel Approach to Revealing Positive and Negative Co-Regulated Genes. - Yuhai Zhao; Guoren Wang; Ying Yin; Guangyu Xu (J. Comput. Sci. Technol., 2007)

Maximal Subspace Coregulated Gene Clustering. - Yuhai Zhao; Jeffrey Xu Yu; Guoren Wang; Lei Chen 002; Bin Wang 015; Ge Yu 001 (IEEE Trans. Knowl. Data Eng., 2008)

A self-healing composite Web service model. - Ying Yin; Bin Zhang 001; Xizhe Zhang; Yuhai Zhao (APSCC, 2009)

Generating Peptide Sequence Tags for Peptide Identification via Tandem Mass Spectrometry. - Changyong Yu; Guoren Wang; Yuhai Zhao; Keming Mao; Junjie Wu; Wendan Zhai (BIBE, 2009)

Fast filtering false active subspaces for efficient high dimensional similarity processing. - Guoren Wang; Ge Yu 001; Junchang Xin; Yuhai Zhao; Ende Zhang (Sci. China Ser. F Inf. Sci., 2009)

A Multi-stage Spectral Alignment Strategy for Unrestrictive PTM Peptide Identification. - Changyong Yu; Guoren Wang; Yuhai Zhao; Keming Mao (BIBE, 2010)

Efficiently mining local conserved clusters from gene expression data. - Guoren Wang; Yuhai Zhao; Xiangguo Zhao; Botao Wang; Baiyou Qiao (Neurocomputing, 2010)

Efficiently Mining Time-Delayed Gene Expression Patterns. - Guoren Wang; Linjun Yin; Yuhai Zhao; Keming Mao (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Finding Novel Diagnostic Gene Patterns Based on Interesting Non-redundant Contrast Sequence Rules. - Yuhai Zhao; Guoren Wang; Yuan Li 008; Zhanghui Wang (ICDM, 2011)

XML document classification based on ELM. - Xiangguo Zhao; Guoren Wang; Xin Bi; Peizhen Gong; Yuhai Zhao (Neurocomputing, 2011)

An Active Service Reselection Triggering Mechanism. - Ying Yin; Tiancheng Zhang 001; Bin Zhang 001; Gang Sheng; Yuhai Zhao; Ming Li (APWeb, 2013)

An efficient projected partition algorithm based on the order among genes. - Zesheng Sun; Yuhai Zhao; Dengke Meng; He Pan (FSKD, 2013)

Weight Based Live Migration of Virtual Machines. - Baiyou Qiao; Kai Zhang; Yanpeng Guo; Yutong Li; Yuhai Zhao; Guoren Wang (PAKDD Workshops, 2013)

An Incremental Updating Based Fast Phenotype Structure Learning Algorithm. - Hao Cheng; Yuhai Zhao; Ying Yin; Li-Jun Zhang (ICIC (3), 2014)

Learning Phenotype Structure Using Sequence Model. - Yuhai Zhao; Guoren Wang; Xiang Zhang 001; Jeffrey Xu Yu; Zhanghui Wang (IEEE Trans. Knowl. Data Eng., 2014)

ELM ∗ : distributed extreme learning machine with MapReduce. - Junchang Xin; Zhiqiong Wang; Chen Chen 014; LinLin Ding; Guoren Wang; Yuhai Zhao (World Wide Web, 2014)

Large-Scale Graph Classification Based on Evolutionary Computation with MapReduce. - Zhanghui Wang; Yuhai Zhao; Guoren Wang; Yurong Cheng (APWeb, 2015)

GDC: An efficient tag recommendation algorithm. - Ying Yin; Yuhai Zhao; Bin Zhang 001 (FSKD, 2015)

Finding Top-k Covering Irreducible Contrast Sequence Rules for Disease Diagnosis. - Yuhai Zhao; Yuan Li 008; Ying Yin; Gang Sheng (Comput. Math. Methods Medicine, 2015)

On extending extreme learning machine to non-redundant synergy pattern based graph classification. - Zhanghui Wang; Yuhai Zhao; Guoren Wang; Yuan Li 008; Xue Wang 005 (Neurocomputing, 2015)

An Efficient and Effective Overlapping Communities Discovery Based on Agglomerative Graph. - Ying Yin; Liang Chen; Yuhai Zhao; He Li; Bin Zhang 001; Yongming Yan (ICWS, 2016)

Improving ELM-based microarray data classification by diversified sequence features selection. - Yuhai Zhao; Guoren Wang; Ying Yin; Yuan Li 008; Zhanghui Wang (Neural Comput. Appl., 2016)

Effective k-Vertex Connected Component Detection in Large-Scale Networks. - Yuan Li 008; Yuhai Zhao; Guoren Wang; Feida Zhu 001; Yubao Wu; Shengle Shi (DASFAA (2), 2017)

Finding susceptible and protective interaction patterns in large-scale genetic association study. - Yuan Li 008; Yuhai Zhao; Guoren Wang; Xiaofeng Zhu 003; Xiang Zhang 001; Zhanghui Wang; Jun Pang 001 (Frontiers Comput. Sci., 2017)

Mining coterie patterns from Instagram photo trajectories for recommending popular travel routes. - Yaxin Yu; Yuhai Zhao; Ge Yu 001; Guoren Wang (Frontiers Comput. Sci., 2017)

Extreme Learning Machine for large-scale graph classification based on MapReduce. - Zhanghui Wang; Yuhai Zhao; Ye Yuan 001; Guoren Wang; Lei Chen 002 (Neurocomputing, 2017)

Enhancing ELM by Markov Boundary based feature selection. - Ying Yin; Yuhai Zhao; Bin Zhang 001; Chenguang Li; Song Guo (Neurocomputing, 2017)

Ant colony optimization with an automatic adjustment mechanism for detecting epistatic interactions. - Boxin Guan; Yuhai Zhao; Wenjuan Sun (Comput. Biol. Chem., 2018)

Super-Graph Classification Based on Composite Subgraph Features and Extreme Learning Machine. - Jun Pang 002; Yuhai Zhao; Jia Xu 005; Yu Gu 002; Ge Yu 001 (Cogn. Comput., 2018)

Multi-Graph Multi-Label Learning Based on Entropy. - Zixuan Zhu; Yuhai Zhao (Entropy, 2018)

DESeeker: Detecting Epistatic Interactions Using a Two-Stage Differential Evolution Algorithm. - Boxin Guan; Yuhai Zhao; Yuan Li 008 (IEEE Access, 2019)

S-DenseNet: A DenseNet Compression Model Based on Convolution Grouping Strategy Using Skyline Method. - Changyong Yu; Xin He; Haitao Ma; Xin Qi 004; Jiarui Lu; Yuhai Zhao (IEEE Access, 2019)

An Ant Colony Optimization Based on Information Entropy for Constraint Satisfaction Problems. - Boxin Guan; Yuhai Zhao; Yuan Li 008 (Entropy, 2019)

ELM-Based Large-Scale Genetic Association Study via Statistically Significant Pattern. - Yuan Li 008; Yuhai Zhao; Guoren Wang; Zhanghui Wang; Min Gao (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Detecting Statistically Significant Events in Large Heterogeneous Attribute Graphs via Densest Subgraphs. - Yuan Li 008; Xiaolin Fan; Jing Sun 009; Yuhai Zhao; Guoren Wang (KSEM (1), 2020)

Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning. - Yejiang Wang; Yuhai Zhao; Zhengkui Wang; Chengqi Zhang (CoRR, 2020)

LLR: Learning learning rates by LSTM for training neural networks. - Changyong Yu; Xin Qi 004; Haitao Ma; Xin He; Cuirong Wang; Yuhai Zhao (Neurocomputing, 2020)

Effective and Efficient Dense Subgraph Query in Large-Scale Social Internet of Things. - Yuhai Zhao; Xiangjun Dong 001; Ying Yin (IEEE Trans. Ind. Informatics, 2020)

Towards k-vertex connected component discovery from large networks. - Yuan Li 008; Guoren Wang; Yuhai Zhao; Feida Zhu 001; Yubao Wu (World Wide Web, 2020)

Online Runtime Prediction Method for Distributed Iterative Jobs. - Xiaofei Yue; Lan Shi; Yuhai Zhao; Hangxu Ji; Guoren Wang (WISA, 2021)

Multi-job Merging Framework and Scheduling Optimization for Apache Flink. - Hangxu Ji; Gang Wu 007; Yuhai Zhao; Ye Yuan 001; Guoren Wang (DASFAA (1), 2021)

Distributed Density Peaks Clustering Revisited (Extended Abstract). - Jing Lu; Yuhai Zhao; Kian-Lee Tan; Zhengkui Wang (ICDE, 2021)

Multi-graph Multi-label Learning with Dual-granularity Labeling. - Yuhai Zhao; Yejiang Wang; Zhengkui Wang; Chengqi Zhang (KDD, 2021)

Which abbreviations should be expanded? - Yanjie Jiang; Hui Liu 003; Yuxia Zhang; Nan Niu; Yuhai Zhao; Lu Zhang 023 (ESEC/SIGSOFT FSE, 2021)

Finding Early Bursting Cohesive Subgraphs in Large Temporal Networks. - Jie Dai; Yuan Li 008; Xiaolin Fan; Jing Sun 009; Yuhai Zhao (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI, 2021)

Effective and Efficient Steiner Maximum Path-Connected Subgraph Search in Large Social Internet of Things. - Xiaolin Fan; Yuan Li 008; Jing Sun 009; Yuhai Zhao; Guoren Wang (IEEE Access, 2021)

An improved ant colony optimization with an automatic updating mechanism for constraint satisfaction problems. - Boxin Guan; Yuhai Zhao; Yuan Li 008 (Expert Syst. Appl., 2021)

A differential evolution based feature combination selection algorithm for high-dimensional data. - Boxin Guan; Yuhai Zhao; Ying Yin; Yuan Li 008 (Inf. Sci., 2021)

Multi-objective evolutionary clustering for large-scale dynamic community detection. - Ying Yin; Yuhai Zhao; He Li; Xiangjun Dong 001 (Inf. Sci., 2021)

Efficient continual cohesive subgraph search in large temporal graphs. - Yuan Li 008; Jinsheng Liu; Huiqun Zhao; Jing Sun 009; Yuhai Zhao; Guoren Wang (World Wide Web, 2021)

A Distributed Evolutionary Framework for Large-scale SNP-SNP Interaction Detection. - Fangting Li; Yuhai Zhao; Boxin Guan; Yuan Li 008 (BIBM, 2022)

DBT-UNETR: Double Branch Transformer with Cross Fusion for 3D Medical Image Segmentation. - Haojie Tao; Keming Mao; Yuhai Zhao (BIBM, 2022)

TsRss: A Practical Stream data Cleaning Method based on Local Shape Feature. - Changyong Yu; Peng Liu; Yudi Liu; Haitao Ma; Yuhai Zhao (CACML, 2022)

Mining Negative Sequential Rules from Negative Sequential Patterns. - Chuanhou Sun; Xiaoqi Jiang; Xiangjun Dong 001; Tiantian Xu 002; Long Zhao 002; Zhao Li; Yuhai Zhao (DASFAA (1), 2022)

How to better utilize code graphs in semantic code search? - Yucen Shi; Ying Yin; Zhengkui Wang; David Lo 001; Tao Zhang 001; Xin Xia 001; Yuhai Zhao; Bowen Xu (ESEC/SIGSOFT FSE, 2022)

A fast and efficient path elimination algorithm for large-scale multiple common longest sequence problems. - Changyong Yu; Pengxi Lin; Yuhai Zhao; Tianmei Ren; Guoren Wang (BMC Bioinform., 2022)

Classifying the multi-omics data of gastric cancer using a deep feature selection method. - Yanyu Hu; Long Zhao 002; Zhao Li; Xiangjun Dong 001; Tiantian Xu 002; Yuhai Zhao (Expert Syst. Appl., 2022)

An Extensible Heterogeneous Network Embedding Framework for Knowledge Tracing. - Xue He; Tiancheng Zhang 001; Minghe Yu; Ge Yu 001; Yuhai Zhao (Int. J. Softw. Informatics, 2022)

A random grouping-based self-regulating artificial bee colony algorithm for interactive feature detection. - Boxin Guan; Tiantian Xu 002; Yuhai Zhao; Yuan Li; Xiangjun Dong 001 (Knowl. Based Syst., 2022)

The most active community search in large temporal graphs. - Ling Li; Yuhai Zhao; Yuan Li 008; Fazal Wahab; Zhengkui Wang (Knowl. Based Syst., 2022)

Detecting Disease-Associated SNP-SNP Interactions Using Progressive Screening Memetic Algorithm. - Boxin Guan; Yuhai Zhao; Ying Yin; Yuan Li 008 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

StLiter: A Novel Algorithm to Iteratively Build the Compacted de Bruijn Graph From Many Complete Genomes. - Changyong Yu; Keming Mao; Yuhai Zhao; Cheng Chang; Guoren Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

DiagAF: A More Accurate and Efficient Pre-Alignment Filter for Sequence Alignment. - Changyong Yu; Yuhai Zhao; Chu Zhao; Haitao Ma; Guoren Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Distributed Density Peaks Clustering Revisited. - Jing Lu; Yuhai Zhao; Kian-Lee Tan; Zhengkui Wang (IEEE Trans. Knowl. Data Eng., 2022)

Robust Self-Supervised Multi-Instance Learning with Structure Awareness. - Yejiang Wang; Yuhai Zhao; Zhengkui Wang; Meixia Wang (AAAI, 2023)

COCLEP: Contrastive Learning-based Semi-Supervised Community Search. - Ling Li; Siqiang Luo; Yuhai Zhao; Caihua Shan; Zhengkui Wang; Lu Qin 001 (ICDE, 2023)

Skyline Micro-Cluster Query: A Novel and Practical Spatial Query. - Jing Lu; Yuhai Zhao; Zhengkui Wang; Guoren Wang (ICDE, 2023)

GALOPA: Graph Transport Learning with Optimal Plan Alignment. - Yejiang Wang; Yuhai Zhao; Daniel Zhengkui Wang; Ling Li (NeurIPS, 2023)

LCAUnet: A skin lesion segmentation network with enhanced edge and body fusion. - Qisen Ma; Keming Mao; Gao Wang; Lisheng Xu; Yuhai Zhao (CoRR, 2023)

joinTree: A novel join-oriented multivariate operator for spatio-temporal data management in Flink. - Hangxu Ji; Gang Wu 007; Yuhai Zhao; Shiye Wang; Guoren Wang; George Y. Yuan (GeoInformatica, 2023)

Multi-graph multi-label learning with novel and missing labels. - Miaomiao Huang; Yuhai Zhao; Yejiang Wang; Fazal Wahab; Yiming Sun; Chen Chen (Knowl. Based Syst., 2023)

Toward Better Structure and Constraint to Mine Negative Sequential Patterns. - Xinming Gao; Yongshun Gong; Tiantian Xu 002; Jinhu Lü; Yuhai Zhao; Xiangjun Dong 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Automatic Code Review by Learning the Structure Information of Code Graph. - Ying Yin; Yuhai Zhao; Yiming Sun; Chen Chen (Sensors, 2023)

BS-Join: A novel and efficient mixed batch-stream join method for spatiotemporal data management in Flink. - Hangxu Ji; Su Jiang; Yuhai Zhao; Gang Wu 007; Guoren Wang; George Y. Yuan (Future Gener. Comput. Syst., 2023)

An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints. - Ping Qiu; Yongshun Gong; Yuhai Zhao; Longbing Cao; Chengqi Zhang; Xiangjun Dong 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

A fault-tolerant optimization mechanism for spatiotemporal data analysis in flink. - Hangxu Ji; Gang Wu 007; Yuhai Zhao; Liuguo Wei; Guoren Wang; Yuchen Fan (World Wide Web (WWW), 2023)

Global triangle estimation based on first edge sampling in large graph streams. - Changyong Yu; Huimin Liu; Fazal Wahab; Zihan Ling; Tianmei Ren; Haitao Ma; Yuhai Zhao (J. Supercomput., 2023)

Efficient Community Search in Edge-Attributed Graphs. - Ling Li; Yuhai Zhao; Siqiang Luo; Guoren Wang; Zhengkui Wang (IEEE Trans. Knowl. Data Eng., 2023)

Image emotion multi-label classification based on multi-graph learning. - Meixia Wang; Yuhai Zhao; Yejiang Wang; Tongze Xu; Yiming Sun (Expert Syst. Appl., 2023)

Limited-Supervised Multi-Label Learning with Dependency Noise. - Yejiang Wang; Yuhai Zhao; Zhengkui Wang; Wen Shan; Xingwei Wang 001 (AAAI, 2024)

Robust Local Community Search over Large Heterogeneous Information Networks. - Yuan Li 008; Qingxin Kong; Wei Song 004; Guoli Yang; Yuhai Zhao (APWeb/WAIM (3), 2024)

A Novel Automatic Prompt Tuning Method for Polyp Segmentation. - Xin Jing; Heyang Zhou; Keming Mao; Yuhai Zhao; Liangyu Chu (BIBM, 2024)

FABLE: Approximate Butterfly Counting in Bipartite Graph Stream with Duplicate Edges. - Guozhang Sun; Yuhai Zhao; Yuan Li 008 (CIKM, 2024)

NeutronCache: An Efficient Cache-Enhanced Distributed Graph Neural Network Training System. - Chu Zhao; Shengjie Dong; Yuhai Zhao; Yuan Li 008 (CIKM, 2024)

Self-Training GNN-based Community Search in Large Attributed Heterogeneous Information Networks. - Yuan Li 008; Xiuxu Chen; Yuhai Zhao; Wen Shan; Zhengkui Wang; Guoli Yang; Guoren Wang (ICDE, 2024)

Efficient Community Search in Edge-Attributed Graphs (Extended Abstract). - Ling Li; Yuhai Zhao; Siqiang Luo; Guoren Wang; Zhengkui Wang (ICDE, 2024)

Towards Robust Multi-Label Learning against Dirty Label Noise. - Yuhai Zhao; Yejiang Wang; Zhengkui Wang; Wen Shan; Miaomiao Huang; Meixia Wang; Min Huang 001; Xingwei Wang 001 (IJCAI, 2024)

dwMLCS: An Efficient MLCS Algorithm Based on Dynamic and Weighted Directed Acyclic Graph. - Changyong Yu; Dekuan Gao; Xu Guo; Haitao Ma; Yuhai Zhao; Guoren Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

MiniDBG: A Novel and Minimal De Bruijn Graph for Read Mapping. - Changyong Yu; Yuhai Zhao; Chu Zhao; Jianyu Jin; Keming Mao; Guoren Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

A novel open-source CADs platform for 3D CT pulmonary analysis. - Keming Mao; Xin Jing; Gao Wang; Yachen Chang; Jiale Liu; Yuhai Zhao; Shiyu Yu; Jingyu Liu (Comput. Biol. Medicine, 2024)

Multi-graph learning-based software defect location. - Ying Yin; Yucen Shi; Yuhai Zhao; Fazal Wahab (J. Softw. Evol. Process., 2024)

BL: An Efficient Index for Reachability Queries on Large Graphs. - Changyong Yu; Tianmei Ren; Wenyu Li; Huimin Liu; Haitao Ma; Yuhai Zhao (IEEE Trans. Big Data, 2024)

Robust Multi-Graph Multi-Label Learning With Dual-Granularity Labeling. - Yejiang Wang; Yuhai Zhao; Zhengkui Wang; Chengqi Zhang; Xingwei Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Graph Contrastive Learning with Progressive Augmentations. - Yuhai Zhao; Yejiang Wang; Zhengkui Wang; Wen Shan; Miaomiao Huang; Xingwei Wang 001 (KDD (1), 2025)

A skin lesion segmentation network with edge and body fusion. - Gao Wang; Qisen Ma; Yiyang Li; Keming Mao; Lisheng Xu; Yuhai Zhao (Appl. Soft Comput., 2025)

A ranked filter-based three-way clustering strategy for intrusion detection in highly secure IoT networks. - Fazal Wahab; Shengjun Ma; Xuze Liu; Yuhai Zhao; Anwar Shah; Bahar Ali (Comput. Electr. Eng., 2025)

I/O efficient core maintenance in large graphs. - Jie Dai; Yixiao Liu; Yuan Li 008; Fazal Wahab; Yuhai Zhao (Expert Syst. Appl., 2025)

Multi-graph multi-instance multi-label learning via disentangled information mining. - Miaomiao Huang; Yuhai Zhao; Yejiang Wang; Meixia Wang; Xingwei Wang 001 (Expert Syst. Appl., 2025)

Finding local influential communities in large weighted networks. - Yuan Li 008; Yi Guo; Yuhai Zhao; Guoli Yang; Guoren Wang (Expert Syst. Appl., 2025)

A probabilistic optimizer for binary neural networks. - Xue He; Xue Geng; Tiancheng Zhang 001; Minghe Yu; Min Wu; Ge Yu 001; Yuhai Zhao (Neurocomputing, 2025)

An explainable three-way neural network approach for intrusion detection in IoT ecosystem. - Fazal Wahab; Shengjun Ma; Yuhai Zhao; Anwar Shah (Internet Things, 2025)

Dual-granularity multi-instance multi-label learning with variational autoencoder. - Meixia Wang; Yuhai Zhao; Yejiang Wang; Miaomiao Huang; Xuze Liu; Xingwei Wang 001 (Knowl. Based Syst., 2025)

Missing traffic data imputation with a conditional diffusion framework. - Jie Li; Dun Lan; Yongshun Gong; Long Zhao 002; Wenpeng Lu; Yuhai Zhao; Xiangjun Dong 001; Xiaoming Wu (Expert Syst. Appl., 2026)