J. Guan

M. A. Aziz-Alaoui, Cyrille Bertelle, Xing Li, 2015, 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom).

GANs for Molecule Generation in Drug Design and Discovery

J. Guan, Shuigeng Zhou, L. Shi, 2022, Intelligent Systems Reference Library.

Distributed Web GIS

Shuigeng Zhou, Jihong Guan, Jiaogen Zhou, 2007 .

A new hybrid method for learning bayesian networks: Separation and reunion

Hui Liu, Wai Lam, Shuigeng Zhou, 2017, Knowl. Based Syst..

A new method for enhancer prediction based on deep belief network

Yanglan Gan, J. Guan, Shuigeng Zhou, 2017, BMC Bioinformatics.

Privacy and efficiency guaranteed social subgraph matching

Xiaofang Zhou, J. Guan, Shuigeng Zhou, 2021, VLDB J..

Recursive weighted treelike networks

Shuigeng Zhou, Jihong Guan, Yichao Zhang, 2007, 0704.2951.

Anomalous behavior of trapping on a fractal scale-free network

Shuigeng Zhou, Jihong Guan, Zhongzhi Zhang, 2009, EPL (Europhysics Letters).

Exact solution for mean first-passage time on a pseudofractal scale-free web.

Shuigeng Zhou, Jihong Guan, Zhongzhi Zhang, 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

Fusion analysis of resting-state networks and its application to Alzheimer's disease

Shuigeng Zhou, Jihong Guan, Shengbing Pei, 2019, Tsinghua Science and Technology.

Building Web Services in P2P Networks

Shuigeng Zhou, Jihong Guan, Jiaogen Zhou, 2007 .

Average distance in a hierarchical scale-free network: an exact solution

Shuigeng Zhou, Jihong Guan, Zhongzhi Zhang, 2009, 0910.5349.

Detecting potential collusive cliques in futures markets based on trading behaviors from real data

Shuigeng Zhou, Jihong Guan, Junjie Wang, 2012, Neurocomputing.

Detecting Collusive Cliques in Futures Markets Based on Trading Behaviors from Real Data pdf

Shuigeng Zhou, Jihong Guan, Junjie Wang, 2011, ArXiv.

Classifying early and late mild cognitive impairment stages of Alzheimer’s disease by fusing default mode networks extracted with multiple seeds

J. Guan, Shuigeng Zhou, Shengbing Pei, 2018, BMC Bioinformatics.

Divide-and-conquer Tournament on Social Networks

J. Guan, Shuigeng Zhou, Yichao Zhang, 2017, Scientific Reports.

PredHS: a web server for predicting protein–protein interaction hot spots by using structural neighborhood properties

Zhigang Chen, Shuigeng Zhou, Jihong Guan, 2014, Nucleic Acids Res..

A Feature Space Alignment Learning Algorithm

Jihong Guan, Chao Tan, J. Guan, 2012, PRICAI.

An effective approach to detecting both small and large complexes from protein-protein interaction networks

J. Guan, Shuigeng Zhou, Yang Wang, 2017, BMC Bioinformatics.

PredUs: a web server for predicting protein interfaces using structural neighbors

Jihong Guan, Lei Deng, Qiangfeng Cliff Zhang, 2011, Nucleic Acids Res..

A Novel Method for Flux Distribution Computation in Metabolic Networks

Shuigeng Zhou, Jihong Guan, Da Jiang, 2007, BIRD.

A Unified Framework for Predicting KPIs of On-Demand Transport Services

Shuigeng Zhou, Weili Wang, Jihong Guan, 2018, IEEE Access.

CPP: Towards comprehensive privacy preserving for query processing in information networks

Shuigeng Zhou, Jihong Guan, Yuzhe Tang, 2018, Inf. Sci..

Improving compound-protein interaction prediction by building up highly credible negative samples.

J. Guan, Shuigeng Zhou, Hui Liu, 2015, Bioinformatics.

Effective drug–target interaction prediction with mutual interaction neural network

J. Guan, Shuigeng Zhou, Ziqiao Zhang, 2022, Bioinform..

Effectively Identifying Compound-Protein Interactions by Learning from Positive and Unlabeled Examples

Hui Liu, Yang Wang, Shuigeng Zhou, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

TOP: A Deep Mixture Representation Learning Method for Boosting Molecular Toxicity Prediction.

Shuigeng Zhou, Jihong Guan, Yuzhong Peng, 2020, Methods.

Molecular property prediction by semantic-invariant contrastive learning

J. Guan, Shuigeng Zhou, Ailin Xie, 2023, Bioinformatics.

A Chaotic Ant Colony Optimized Link Prediction Algorithm

Guanghui Wen, Shuigeng Zhou, Jihong Guan, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

RBA-CenterNet: Feature Enhancement by Rotated Border Alignment for Oriented Object Detection

J. Guan, Shuigeng Zhou, Yang Wang, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

HiREN: Towards Higher Supervision Quality for Better Scene Text Image Super-Resolution

J. Guan, Minyi Zhao, Shuigeng Zhou, 2023, 2307.16410.

Mining frequent closed itemsets from a landmark window over online data streams

Xuejun Liu, Jihong Guan, Ping Hu, 2009, Comput. Math. Appl..

Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities

J. Guan, Shuigeng Zhou, Wengen Li, 2023, ArXiv.

Revisiting topological properties of protein-protein interaction networks from the perspective of dataset evolution

Shuigeng Zhou, Jihong Guan, Mingyu Shao, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Measuring Conditional Independence by Independent Residuals for Causal Discovery

Hao Zhang, Shuigeng Zhou, Jihong Guan, 2019, ACM Trans. Intell. Syst. Technol..

Dynamic epigenetic mode analysis using spatial temporal clustering

Jihong Guan, Han Tao, Guobing Zou, 2016, BMC Bioinformatics.

Effectively classifying short texts by structured sparse representation with dictionary filtering

Shuigeng Zhou, Jihong Guan, Longwen Gao, 2015, Inf. Sci..

A new and effective hierarchical overlay structure for Peer-to-Peer networks

Shuigeng Zhou, Jihong Guan, Ming Xu, 2011, Comput. Commun..

HiGRN: A Hierarchical Graph Recurrent Network for Global Sea Surface Temperature Prediction

J. Guan, Shuigeng Zhou, Siyun Hou, 2023, ACM Trans. Intell. Syst. Technol..

PCGAN: a generative approach for protein complex identification from protein interaction networks

J. Guan, Shuigeng Zhou, Yang Wang, 2023, Bioinform..

CPredictor 4.0: effectively detecting protein complexes in weighted dynamic PPI networks

Shuigeng Zhou, Jihong Guan, Heng Yao, 2018, Int. J. Data Min. Bioinform..

From Function to Interaction: A New Paradigm for Accurately Predicting Protein Complexes Based on Protein-to-Protein Interaction Networks

Bin Xu, Jihong Guan, J. Guan, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

gTRICLUSTER: A More General and Effective 3D Clustering Algorithm for Gene-Sample-Time Microarray Data

Shuigeng Zhou, Jihong Guan, Ying Zheng, 2006, BioDM.

A Novel Wavelet-Based Approach for Predicting Nucleosome Positions Using DNA Structural Information

Jihong Guan, Guobing Zou, Yanglan Gan, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Exploiting Twitter Moods to Boost Financial Trend Prediction Based on Deep Network Models

Yang Wang, Kai Huang, Shuigeng Zhou, 2016, ICIC.

Unfavorable Individuals in Social Gaming Networks

Zhongzhi Zhang, Shuigeng Zhou, Guanrong Chen, 2015, Scientific Reports.

Adapting Skyline Computation to the MapReduce Framework: Algorithms and Experiments

Shuigeng Zhou, Jihong Guan, Boliang Zhang, 2011, DASFAA Workshops.

Structural features based genome-wide characterization and prediction of nucleosome organization

Weixiong Zhang, Shuigeng Zhou, Jihong Guan, 2012, BMC Bioinformatics.

Characteristics of real futures trading networks

Shuigeng Zhou, Jihong Guan, Junjie Wang, 2010, 1004.4402.

Classification of Marine Plankton Based on Few-shot Learning

Jihong Guan, Jin Guo, J. Guan, 2021, Arabian Journal for Science and Engineering.

Local Nash Equilibrium in Social Networks

Jihong Guan, M. A. Aziz-Alaoui, Cyrille Bertelle, 2014, Scientific Reports.

Active learning for protein function prediction in protein-protein interaction networks

Wei Xiong, Shuigeng Zhou, Jihong Guan, 2013, Neurocomputing.

Effectively predicting protein functions by collective classification — An extended abstract

Wei Xiong, Hui Liu, Shuigeng Zhou, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops.

Boosting Financial Trend Prediction with Twitter Mood Based on Selective Hidden Markov Models

Kai Huang, Shuigeng Zhou, Jihong Guan, 2015, DASFAA.

Role of Individual Activity in Rumor Spreading in Scale-free Networks

Shuigeng Zhou, Jihong Guan, Yichao Zhang, 2017, UCC.

Protein function prediction by collective classification with explicit and implicit edges in protein-protein interaction networks

Wei Xiong, Hui Liu, Shuigeng Zhou, 2013, BMC Bioinformatics.

Robustly Recognizing Irregular Scene Text by Rectifying Principle Irregularities

J. Guan, Changsheng Xu, Shuigeng Zhou, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Combined cause inference: Definition, model and performance

Jihong Guan, Shuigeng Zhou, Chuanxu Yan, 2021, Inf. Sci..

Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance

J. Guan, Shuigeng Zhou, Hao Zhang, 2023, AAAI.

Conceptual Modeling for Advanced Application Domains

Tok Wang Ling, Shan Wang, Shuigeng Zhou, 2004, Lecture Notes in Computer Science.

The centrality of cancer proteins in human protein-protein interaction network: a revisit

Wei Xiong, Hui Liu, Shuigeng Zhou, 2014, Int. J. Comput. Biol. Drug Des..

Self-supervised learning with chemistry-aware fragmentation for effective molecular property prediction

J. Guan, Shuigeng Zhou, Ailin Xie, 2023, Briefings Bioinform..

Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance

Yi Xu, Kai Tian, Shuigeng Zhou, 2020, AAAI.

Latent feature reconstruction for unsupervised anomaly detection

J. Guan, Shuigeng Zhou, Yifan He, 2023, Applied Intelligence.

Learning Competitive and Discriminative Reconstructions for Anomaly Detection pdf

Jianping Fan, Shuigeng Zhou, Jihong Guan, 2019, AAAI.

Classifying early and late mild cognitive impairment stages of Alzheimer’s disease by fusing default mode networks extracted with multiple seeds

Shuigeng Zhou, Jihong Guan, Shengbing Pei, 2018, BMC Bioinformatics.

Molecular property prediction by contrastive learning with attention-guided positive sample selection

J. Guan, Shuigeng Zhou, Jinxian Wang, 2023, Bioinformatics.

Traffic Fluctuations on Weighted Networks

Guanrong Chen, J. Guan, Shuigeng Zhou, 2009, IEEE Circuits and Systems Magazine.

Transition from fractal to non-fractal scalings in growing scale-free networks

J. Guan, Shuigeng Zhou, Zhongzhi Zhang, 2008, The European Physical Journal B.

STRUCTBASE: a structure based Chinese text database system

Shuigeng Zhou, Jihong Guan, Yuzhen Li, 2004, The Fourth International Conference onComputer and Information Technology, 2004. CIT '04..

Finding overlapping communities in networks using evolutionary method pdf

Jihong Guan, Guang Jin, Huahui Chen, 2013, ArXiv.

Link Prediction based on Quantum-Inspired Ant Colony Optimization

Shuigeng Zhou, Jihong Guan, Yichao Zhang, 2018, Scientific Reports.

Towards a Secure Medium Access Control Protocol for Cluster-Based Underwater Wireless Sensor Networks

Jihong Guan, Guangzhong Liu, Ming Xu, 2015, Int. J. Distributed Sens. Networks.

A self-index GML storage approach based on element coding

Weili Wang, Jihong Guan, Long Zhang, 2011, 2011 19th International Conference on Geoinformatics.

Storing and querying GML in object-relational databases

Shuigeng Zhou, Jihong Guan, Jiaogen Zhou, 2006, GIS '06.

Choosing appropriate models for protein-protein interaction networks: a comparison study

Yi Yang, Shuigeng Zhou, Jihong Guan, 2014, Briefings Bioinform..

Meta-ZSDETR: Zero-shot DETR with Meta-learning

J. Guan, Shuigeng Zhou, Jiajia Zhao, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

A new and effective two-step clustering approach for single cell RNA sequencing data

J. Guan, Ruiyi Li, Shuigeng Zhou, 2022, BMC Genomics.

Probabilistic Time-Constrained Paths Search over Uncertain Road Networks

Jiannong Cao, Xiang Lian, Shuigeng Zhou, 2018, IEEE Transactions on Services Computing.

A new taxonomy-based protein fold recognition approach based on autocross-covariance transformation

Q. Dong, J. Guan, Shuigeng Zhou, 2009, Bioinform..

Properly and Automatically Naming Java Methods: A Machine Learning Based Approach

Jihong Guan, Shusi Yu, Ruichang Zhang, 2012, ADMA.

Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test

Shuigeng Zhou, Jihong Guan, Hao Zhang, 2019, AAAI.

scRNA-seq Data Clustering by Cluster-aware Iterative Contrastive Learning

J. Guan, Shuigeng Zhou, Weikang Jiang, 2023, ArXiv.

iHMS: a database integrating human histone modification data across developmental stages and tissues

Shuigeng Zhou, Jihong Guan, Han Tao, 2017, BMC Bioinformatics.