期刊论文
[1] Chang Jin, Han Peng, Hanchen Yang, Wengen Li, Jihong Guan. On Evaluating the Predictability of Sea Surface Temperature Using Entropy. Remote Sensing, 15(8):1956. 2023.
[2] Shuyu Wang, Wengen Li, Siyun Hou, Jihong Guan, Jiamin Yao. STA-GAN: A Spatio-Temporal Attention Generative Adversarial Network for Missing Value Imputation in Satellite Data. Remote Sensing, 15(1):88. 2023.
期刊论文
[1] Yanglan Gan, Xingyu Huang, Guobing Zou, Shuigeng Zhou, and Jihong Guan. Deep structural clustering for single-cell RNA-seq data jointly through autoencoder and graph neural network. Briefings in Bioinformatics, 23(2), 2022.
[2] Yanglan Gan, Ning Li, Cheng Guo, Guobing Zou, Jihong Guan, and Shuigeng Zhou. TiC2D: Trajectory Inference From Single-Cell RNA-Seq Data Using Consensus Clustering. IEEE/ACM Transactions on Computational Biology and Bioinformatics,19(4): 2512–2522, 2022.
[3] Zhiwei Cao, Yichao Zhang, Jihong Guan, Shuigeng Zhou and Guanrong Chen. Link Weight Prediction Using Weight Perturbation and Latent Factor. IEEE Transactions on Cybernetics, 52(3): 1785-1797, 2022.
[4] Siyun Hou, Wengen Li, Tianying Liu, Shuigeng Zhou, Jihong Guan, Rufu Qin, and Zhenfeng Wang. MIMO: A Unified Spatio-Temporal Model for Multi-Scale Sea Surface Temperature Prediction. Remote Sensing, 14(10):2371-2381, 2022.
[5] Kai Huang, Haibo Hu, Shuigeng Zhou, Jihong Guan, Qingqing Ye, and Xiaofang Zhou. Privacy and efficiency guaranteed social subgraph matching. The VLDB Journal, 31(3):581–602, 2022.
[6] Fei Li, Ziqiao Zhang, Jihong Guan, and Shuigeng Zhou. Effective drug–target interaction prediction with mutual interaction neural network. Bioinformatics, 38(14):3582–3589, 2022.
[7] Weixia Xu, Yunfeng Dong, Jihong Guan, and Shuigeng Zhou. Identifying essential proteins from protein–protein interaction networks based on influence maximization. BMC Bioinformatics, 23(S8): 339-347, 2022.
[8] Yi Yang, Shuigeng Zhou, Jihong Guan, and Chuansheng Shen. The Complexities of Random-Turn Hex, Square, and Triangle Games. IEEE Transactions on Games, 14(2):180–190, 2022.
[9] Jin Guo, Wengen Li, Jihong Guan. SIM: an improved few-shot image classification model with multi-task learning. Journal of Electronic Imaging, 31(3): 33-44, 2022
[10] Jin Guo, Wengen Li, Jihong Guan. CDFM: A cross‐domain few‐shot model for marine plankton classification[J]. IET Computer Vision, 2022.
会议论文
[11] Minyi Zhao, Lu Zhang, Yi Xu, Jiandong Ding, Jihong Guan, and Shuigeng Zhou. EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACI 2022), 4742 – 4752, July 10-15, Seattle, USA.
[12] Lu Zhang, Yang Wang, Jiaogen Zhou, Chenbo Zhang, Yinglu Zhang, Jihong Guan, Yatao Bian, and Shuigeng Zhou. Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method. In Proceedings of the 30th ACM International Conference on Multimedia (MM 2022), 2002–2011, October 10–14, New York, NY, USA.
[13] Hao Zhang, Shuigeng Zhou, Kun Zhang, and Jihong Guan. Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2022), 5942–5949, February 22–March 1, 2022, held virtually.
[14] Wanyang Xu, Wengen Li, Jihong Guan, and Shuigeng Zhou. 2022. BidH: A Bidirectional Hierarchical Model for Nested Named Entity Recognition. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM 2022), 4600–4604, October 17-21, 2022, Atlanta GA USA.
[15] Changsheng Xu, Zhenlong Xu, Yifan He, Shuigeng Zhou, and Jihong Guan. Multi-Modal Learning with Text Merging for TEXTVQA. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), 1985–1989, 2022, Singapore, Singapore.
[16] Changsheng Xu, Yang Wang, Fan Bai, Jihong Guan, and Shuigeng Zhou. Robustly Recognizing Irregular Scene Text by Rectifying Principle Irregularities. In 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2022), 1332–1339, 2022, Waikoloa, HI, USA.
[17] Siyuan Guo, Tianying Liu, Wengen Li, Jihong Guan, and Shuigeng Zhou. Fusing Geometric and Scene Information for Cross-View Geo-Localization. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM 2022), 3978–3982, October 17-21, 2022, Atlanta GA USA.
期刊论文
[1] Ziqiao Zhang, Jihong Guan, Shuigeng Zhou. FraGAT: A fragment-oriented multi-scale graph attention model for molecular property prediction. Bioinformatics, 37(18): 2981-2987, 2021.
[2] Ruiyi Li, Jihong Guan, Shuigeng Zhou. Boosting scRNA-seq data clustering by cluster-aware feature weighting. BMC Bioinformatics, 22-S(6): 130, 2021.
[3] Weixia Xu, Yangyun Gao, Yang Wang, Jihong Guan. Protein-protein interaction prediction based on ordinal regression and recurrent convolutional neural networks. BMC Bioinformatics, 22-S(6): 485, 2021.
[4] Chaobin Liu, Shixi Chen, Shuigeng Zhou, Jihong Guan, Yao Ma. A general framework for privacy-preserving of data publication based on randomized response techniques. Information Systems, 96: 101648, 2021.
[5] Hao Zhang, Chuanxu Yan, Shuigeng Zhou, Jihong Guan, Ji Zhang. Combined cause inference: Definition, model and performance. Information Sciences, 574: 431-443, 2021.
[6] Zhiwei Cao, Yichao Zhang, Jihong Guan, Shuigeng Zhou, Guanghui Wen. A chaotic ant colony optimized link prediction algorithm. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(9): 5274-5288, 2021.
[7] Kai Huang, Haibo Hu, Shuigeng Zhou, Jihong Guan, Qingqing Ye, Xiaofang Zhou. Privacy and efficiency guaranteed social subgraph matching. The International Journal on Very Large Data Bases, 1-22, 2021.
[8] Ruiyi Li, Zhiye Wang, Jihong Guan, Shuigeng Zhou. Effectively clustering single cell RNA sequencing data by sparse representation. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021.
[9] Shengbing Pei, Jihong Guan. Classifying cognitive normal and early mild cognitive impairment of alzheimer’s disease by applying restricted boltzmann machine to fMRI data. Current Bioinformatics, 16(2): 252-260, 2021.
[10] Siyun Hou, Wengen Li, Tianying Liu, Shuigeng Zhou, Jihong Guan, Rufu Qin, Zhenfeng Wang. D2CL: A dense dilated convolutional LSTM model for sea surface temperature prediction. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021.
[11] Yanglan Gan, Ning Li, Cheng Guo, Guobing Zou, Jihong Guan, Shuigeng Zhou. TiC2D: Trajectory inference from single-cell RNA-seq data based on consensus clustering. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021.
[12] Yuliang Pan, Jihong Guan, Heng Yao, Yunjia Shi, Shuigeng Zhou. Computational methods for protein complex prediction: A survey. Journal of Frontiers of Computer Science and Technology, 1-23, 2021.
[13] Jin Guo, Jihong Guan. Classification of Marine Plankton Based on Few-shot Learning. Arabian Journal for Science and Engineering, 46(9): 9253-9262, 2021.
[14] Jiaogen Zhou, Wei Xiong, Yang Wang, Jihong Guan. Protein Function Prediction Based on PPI Networks: Network Reconstruction vs Edge Enrichment. Frontiers in Genetics, 12:1-12, 2021.
会议论文
[15] Hao Zhang, Kun Zhang, Shuigeng Zhou, Jihong Guan, Ji Zhang. Testing independence between linear combinations for causal discovery. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 6538-6546, February 2-9, 2021, Virtual.
[16] Yuxi Mi, Yutong Mu, Shuigeng Zhou, Jihong Guan. FedMDR: Federated model distillation with robust aggregation. Web and Big Data - 5th International Joint Conference (APWeb-WAIM 2021), Springer, 18-32, August 23-25, 2021, Guangzhou, China.
[17] Tianying Liu, Yang Wang, Siyun Hou, Wengen Li, Jihong Guan, Shuigeng Zhou, Rufu Qin. RBA-CenterNet: Feature enhancement by rotated border alignment for oriented object detection. International Joint Conference on Neural Networks (IJCNN 2021), 1-8, July 18-22, 2021, Shenzhen, China.
[18] Lu Zhang, Shuigeng Zhou, Jihong Guan, Ji Zhang. Accurate few-shot object detection with support-query mutual guidance and hybrid loss. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), 14424-14432, June 19-25, 2021, Virtual.
期刊论文
[1] Yuliang Pan, Shuigeng Zhou and Jihong Guan. Computationally Identifying Hot Spots in Protein-DNA Binding Interfaces Using An Ensemble Approach. BMC Bioinformatics, 21-S(13):384, 2020.
[2] Heng Yao, Yunjia Shi, Jihong Guan and Shuigeng Zhou. Accurately Detecting Protein Complexes by Graph Embedding and Combining Functions with Interactions. IEEE/ACMTransactions on Computational Biology and Bioinformatics, 17(3): 777-787, 2020.
[3] Jihong Guan, Ruiyi Li and Jiasheng Wang. GRACE: A Graph-Based Cluster Ensemble Approach for Single-Cell RNA-Seq Data Clustering. IEEE Access, 8: 166730-166741, 2020.
[4] Weihua Zhan, Lei Deng, Jihong Guan, Jun Niu and Dechao Sun. Revealing Dynamic Communities in Networks Using Genetic Algorithm with Merge and Split Operators. Physica A-Statistical Mechanics and ITS Applications, 558 (early access), 2020.
[5] Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang, Ji Zhang and Jun Huan. Learning Causal Structures Based on Divide and Conquer. IEEE Transactions on Cybernetics, pp: 1-1. (early access), 2020.
[6] Yuzhong Peng, Ziqiao Zhang, Qizhi Jiang, Jihong Guan and Shuigeng Zhou. TOP: A Deep Mixture Representation Learning Method for Boosting Molecular Toxicity Prediction. Methods, 179:55-64, 2020.
[7] Heng Yao, Jihong Guan and Tianying Liu. Denoising Protein-Protein Interaction Network via Variational Graph Auto-Encoder for Protein Complex Detection. Journal of Bioinformatics and Computational Biology, 18(3)-SI, 2020.
[8] Ruiyi Li, Jihong Guan and Shuigeng Zhou. Single-cell RNA-seq Data Clustering: A Survey with Performance Comparison Study. Journal of Bioinformatics and Computational Biology, 18(4), 2020.
会议论文
[9] Zekun Ye, Weijie Deng, Shuigeng Zhou, Yi Xu and Jihong Guan. Optimal Trade Execution Based on Deep Deterministic Policy Gradient. Database Systems for Advanced Applications - 25th International Conference (DASFAA 2020). Springer, pp. 638-654, September 24-27, 2020, Jeju, South Korea.
[10] Ruiyi Li, Jihong Guan, Zhiye Wang and Shuigeng Zhou. A New and Effective Two-step Clustering Approach for Single Cell RNA Sequencing Data. 16th International Symposium on Bioinformatics Research and Applications (ISBRA 2020), December 1-4, 2020, Online.
[11] Ruiyi Li, Jihong Guan, Zhiye Wang and Shuigeng Zhou. Boosting scRNA-seq Data Clustering by Cluster-aware Feature Weighting. 19th International Conference on Bioinformatics (InCoB 2020), November 25-29, 2020, Online.
[12] Kai Tian, Yi Xu, Jihong Guan, and Shuigeng Zhou. Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance. To appear in Proceedings of AAAI 2020, Jan. 2020.
[13] Yuliang Pan, Shuigeng Zhou, Jihong Guan. Computationally Identifying Hot Spots in Protein-DNA Binding Interface Using an Ensemble Approach. Accepted by the 18th Asia Pacific Bioinformatics Conference, Seoul, Korea, Feb 12-14, 2020.
期刊论文
[1] Chaobin Liu, Shixi Chen, Shuigeng Zhou, Jihong Guan and Yao Ma. A Novel Privacy Preserving Method for Data Publication. Information Sciences, 501: 421-435, 2019.
[2] Shengbin Pei, Jihong Guan and Shuigeng Zhou. Fusion analysis of resting-state networks and its application to Alzheimer's disease. Tsinghua Science and Technology, 24(4): 456-467, 2019.
[3] Huidong Chen, Luca Albergante, Jonathan Y. Hsu, Caleb A. Lareau, Giosue Lo Bosco, Jihong Guan, Shuigeng Zhou, Alexander N. Gorban, Daniel E. Bauer, Martin J. Aryee, David M Langenau, Anderei Zinovyev, Jason D. Buenrostro, Guocheng Yuan and Luca Pinello. Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM. Nature Communications, 10(1): 1903, 2019.
[4] Tiansheng Zhu, Jihong Guan, Hui Liu and Shuigeng Zhou. RMDB: An Integrated Database of Single-cytosine-resolution DNA Methylation in Oryza sativa. Current Bioinformatics, 14(6): 524-531, 2019.
[5] Xia Zhang, Yanglan Gan, Guobing Zou, Jihong Guan, Shuigeng Zhou. Genome-wide analysis of epigenetic dynamics across human developmental stages and tissues. BMC Genomics, 20(2): 221, 2019.
[6] Yichao Zhang, Guanghui Wen, Guanrong Chen, Jiasheng Wang, Minmin Xiong, Jihong Guan and Shuigeng Zhou. Gaming Temporal Networks. IEEE Transactions on Circuits and Systems II: Express Briefs, 66(4), 672-676, 2019.
[7] Bin Xu, Jihong Guan, Yang Wang and Zewei Wang. Essential Protein Detection by Random Walk on Weighted Protein-Protein Interaction Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 16(2), 377-387. 2019.
[8] Hao Zhang, Shuigeng Zhou, Jihong Guan and Jun Huan. Measuring Conditional Independence by Independent Residuals for Causal Discovery. ACM Transactions on Intelligent Systems and Technology, 10(5): 50:1-50:19, 2019.
[9] Wengen Li, Jiannong Cao, Jihong Guan, Shuigeng Zhou, Guanqing Liang, Winnie K. Y So. and Michal Szczecinski. A General Framework for Unmet Demand Prediction in On-Demand Transport Services. IEEE Transactions on Intelligent Transportation Systems, 20(8), 2820-2830, 2019.
[10] Wengen Li, Jihong Guan, Xiang Lian, Shuigeng Zhou, Jiannong Cao. Probabilistic Time-Constrained Paths Search over Uncertain Road Networks. IEEE Transactions on Services Computing, 11(2): 399-414, 2018. ISSN: 1939-1374.
[11] Wengen Li, Jiannong Cao, Jihong Guan, Shuigeng Zhou, Guanqing Liang, Winnie K. Y So., Michal Szczecinski. A General Framework for Unmet Demand Prediction in On-Demand Transport Services. IEEE Transactions on Intelligent Transportation Systems, 19 October 2018. ISSN: 1524-9050.
[12] Yichao Zhang, Guanghui Wen, Guanrong Chen, Jiasheng Wang, Minmin Xiong, Jihong Guan, Shuigeng Zhou. Gaming Temporal Networks. IEEE Transactions on Circuits and Systems II: Express Briefs, July 30, 2018. ISSN: 1549-7747.
[13] Hongda Bu, Jiaqi Hao, Jihong Guan, Shuigeng Zhou. Predicting Enhancers from Multiple Cell Lines and Tissues across Different Developmental Stages Based On SVM Method. Current Bioinformatics, 13(6): 655-660, 2018. ISSN: 1574-8936.
[14] Jihong Guan, Weili Wang, Wengen Li, Shuigeng Zhou. A Unified Framework for Predicting KPIs of On-Demand Transport Services. IEEE Access, 6: 32005-32014, 2018. ISSN: 2169-3536.
[15] Yunjia Shi, Heng Yao, Jihong Guan, Shuigeng Zhou. CPredictor 4.0: effectively detecting protein complexes in weighted dynamic PPI networks. International Journal of Data Mining and Bioinformatics, 20(4): 303-319, 2018. ISSN: 1748-5673.
[16] Zhiwei Cao, Yichao Zhang, Jihong Guan, Shuigeng Zhou. Link Prediction based on Quantum-Inspired Ant Colony Optimization. Scientific Reports, 8(1): 13389, 2018. ISSN: 2045-2322.
[17] Hui Liu, Libo Luo, Zhanzhan Cheng, Jianjiang Sun, Jihong Guan, Jie Zheng, Shuigeng Zhou. Group-sparse Modeling Drug-kinase Networks for Predicting Combinatorial Drug Sensitivity in Cancer Cells. Current Bioinformatics, 13(5): 437-443, 2018. ISSN: 1574-8936.
[18] Yifeng Luo, Junshi Guo, Jiaye Zhu, Jihong Guan, Shuigeng Zhou. Towards efficiently supporting database as a service with QoS guarantees. Journal of Systems and Software, 139: 51-63, 2018. ISSN: 0164-1212.
[19] Chaobin Liu, Shuigeng Zhou, Haibo Hu, Yuzhe Tang, Jihong Guan, Yao Ma. CPP: Towards comprehensive privacy preserving for query processing in information networks. Information Sciences, 467: 296-311, 2018. ISSN: 0020-0255.
[20] Wengen Li, Jiannong Cao, Jihong Guan, Man Lung Yiu, and Shuigeng Zhou. Efficient Retrieval of Bounded-Cost Informative Routes. IEEE Transactions on Knowledge and Data Engineering, 29(10):2182-2196, 2017.
[21] YanglanGan, Han Tao, Jihong Guan, Shuigeng Zhou. iHMS: a database integrating human histone modification data across developmental stages and tissues. BMC Bioinformatics, 18(1): 103:1-103:9, 2017.
[22] Hongda Bu, YanglanGan, Yang Wang, Shuigeng Zhou, Jihong Guan. A new method for enhancer prediction based on deep belief network. BMC Bioinformatics, 18(S-12): 99-105, 2017.
[23] Bin Xu, Yang Wang, Zewei Wang, Jiaogen Zhou, Shuigeng Zhou, Jihong Guan. An effective approach to detecting both small and large complexes from protein-protein interaction networks. BMC Bioinformatics, 18(S-12): 19-28, 2017.
[24] Bin Xu, Jihong Guan, Yang Wang, Zewei Wang. Essential Protein Detection by Random Walk on Weighted Protein-Protein Interaction Networks[J]. IEEE Transactions on Computational Biology and Bioinformatics, 2017, PP(99):1-1.
[25] Xiaoxiong Zheng, Yang Wang, Kai Tian, Jiaogen Zhou, Jihong Guan, Libo Luo, Shuigeng Zhou. Fusing multiple protein-protein similarity networks to effectively predict lncRNA-protein interactions. BMC Bioinformatics, 18(S-12): 11-18, 2017.
[26] Zhanzhan Cheng, Kai Huang, Yang Wang, Hui Liu, Jihong Guan, Shuigeng Zhou*. Selecting high-quality negative samples for effectively predicting protein-RNA interactions. BMC Systems Biology, 11(S-2): 9:1-9:11, 2017.
[27] Yichao Zhang, Xing Li, M. A. Aziz-Alaoui, Cyrille Bertelle, Jihong Guan, Shuigeng Zhou. Knowledge diffusion in complex networks. Concurrency and Computation: Practice and Experience, volume 29, issue 3, 2017. DOI: 10.1002/cpe.3791
[28] Hui Liu, Shuigeng Zhou*, Wai Lam, Jihong Guan. A new hybrid method for learning bayesian networks: Separation and reunion. Knowledge.-Based Systems, 121: 185-197, 2017.
[29] Weihua Zhan, Jihong Guan, Zhongzhi Zhang. A New Method for Extracting the Hierarchical Organization of Networks[J]. International Journal of Information Technology and Decision Making, 16(5): 1359-1386, 2017.
[30] Jiasheng Wang, Yichao Zhang,Jihong Guan, Shuigeng Zhou. Divide-and-conquer Tournament on Social Networks. Scientific Reports[J], 2017.
[31] Zhanzhan Cheng, Shuigeng Zhou, Yang Wang, Hui Liu, Jihong Guan, and Yi-Ping Phoebe Chen. Effectively Identifying Compound-Protein Interactions by Learning from Positive and Unlabeled Examples. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 18 May 2016. DOI: 10.1109/TCBB.2016.2570211
[32] Qiuyang Wu, Jihong Guan*, and Shuigeng Zhou. Histone Modification Patterns in Highly Differentiation Cells. Neurocomputing, 206: 42-49, 2016.
[33] Yun Lu, YanglanGan, Jihong Guan*, and Shuigeng Zhou. An integrative analysis of nucleosome occupancy and positioning using diverse sequence dependent properties. Neurocomputing, 206: 35-41, 2016.
[34] Kai Tian, Mingyu Shao, Yang Wang, Jihong Guan, Shuigeng Zhou. Boosting compound-protein interaction prediction by deep learning. Methods, volume 110, Pages 64–72, 1 November 2016.
[35] Yanglan Gan, Han Tao, Guobing Zou, Cairong Yan, Jihong Guan. Dynamic epigenetic mode analysis using spatial temporal clustering. BMC Bioinformatics 17(S-17): 213-220 (2016)
[36] Hui Liu, Yinglong Song, Jihong Guan, Libo Luo, Ziheng Zhuang. Inferring new indications for approved drugs via random walk on drug-disease heterogenous networks. BMC Bioinformatics 17(S-17): 269-277 (2016)
[37] Hui Liu, Mengmeng Guo, Ting Xue, Jihong Guan, Libo Luo, Ziheng Zhuang. Screening lifespan-extending drugs in Caenorhabditis elegans via label propagation on drug-protein networks. BMC Systems Biology10(4): 509-519 (2016)
[38] Xin Geng, Jiaogen Zhou, Jihong Guan. Side-chain dynamics analysis of KE07 series. Computational Biology and Chemistry 65: 148-153 (2016)
[39] Huidong Chen, Jihong Guan*, and Shuigeng Zhou. DPNuc: Identifying Nucleosome Positions Based on the Dirichlet Process Mixture Model, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 12(6): 1236-1247, 2015
[40] XiaojingXie, Shuigeng Zhou*, and Jihong Guan. CoGI: Towards Compressing Genomes as an Image. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 12(6): 1275-1285,2015.
[41] Hui Liu, Jianjiang Sun, Jihong Guan, Jie Zheng and Shuigeng Zhou*. Improving compound-protein interaction prediction by building up highly credible negative samples. Bioinformatics,31(12): 221-229,2015.
[42] LongwenGao, Shuigeng Zhou and Jihong Guan. Effectively classifying short texts by structured sparse representation with dictionary filtering. Information Sciences, 323:130-142, 2015.
[43] Zhanzhan Cheng, Shuigeng Zhou*, Jihong Guan. Computationally predicting protein-RNA interactions using only positive and unlabeled examples. Journal of Bioinformatics and Computational Biology, volume 13, issue 3, 2015.
[44] Mingyu Shao, Shuigeng Zhou* and Jihong Guan. Revisiting topological properties and models of protein–protein interaction networks from the perspective of dataset evolution. IET Systems Biology,9(4):113-119, 2015.
[45] Yifeng Luo, Shuigeng Zhou* and Jihong Guan. LAYER: A Cost-Efficient Mechanism to Support Multi-Tenant Database as a Service in Cloud. Journal of Systems and Software, 101:86-96, 2015.
[46] XiaojingXie, Jihong Guan and Shuigeng Zhou*. Similarity Evaluation of DNA Sequences Based on Frequent Patterns and Entropy. BMC Genomics, 16(S3):S5, 2015.
[47] Ruichang Zhang, Zhanzhan Cheng, Jihong Guan and Shuigeng Zhou*. Exploiting Topic Modeling to Boost Metagenomic Sequences Binning. BMC Bioinformatics, 16(S5): S2, 2015.
[48] Yichao Zhang, Guanrong Chen, Jihong Guan, Zhongzhi Zhang, and Shuigeng Zhou. Unfavorable Individuals in Social Gaming Networks, Scientific Reports, volume 5: 17481, DOI: 10.1038/srep17481, DEC 9 2015
[49] Ling Li, Jihong Guan. Determining average path length and average trapping time on generalized dual dendrimer. International Journal of Modern Physics B, 2015, Vol. 29(12): 155007.
[50] Ling Li, Jihong Guan, and Shuigeng Zhou. Efficiency-Controllable Random Walks on a Class of Recursive Scale-Free Trees with a Deep Trap. Chinese Physics Letters, 32(3): 030501, DOI: 10.1088/0256-307X/32/3/030501, MAR 2015.
[51] Ming Xu, Guangzhong Liu, Jihong Guan. Towards a Secure Medium Access Control Protocol for Cluster-Based Underwater Wireless Sensor Networks. IJDSN 11: 325474:1-325474:11 (2015)
[52] Bin Xu, Jihong Guan*. From Function to Interaction: A New Paradigm for Accurately Predicting Protein Complexes Based on Protein-to-Protein Interaction Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 11, no. 4, pp. 616-627, July-Aug. 2014, doi:10.1109/TCBB.2014.2306825
[53] Yichao Zhang, M. A. Aziz-Alaoui, CyrilleBertelle, and Jihong Guan*. Local Nash Equilibrium in Social Networks. Scientific Reports, 4: 6224 (2014).
[54] Hui Liu, Ting Jin, Jihong Guan and Shuigeng Zhou*. Histone modifications involve in cassette exon inclusions: a quantitative and interpretable analysis. BMC Genomics, 15:1148, 2014.
[55] Hui Liu, Ruichang Zhang, Wei Xiong, Jihong Guan, Zhiheng Zhuang, Shuigeng Zhou*. A comparative evaluation on prediction methods of nucleosome positioning. Briefings in Bioinformatics, 15(6): 1014-1027, 2014.
[56] Mingyu Shao, Yi Yang, Jihong Guan and Shuigeng Zhou*. Choosing appropriate models for modeling protein-protein interaction networks: a comparison study. Briefings in Bioinformatics, 15(5):823-838, 2014.
[57] Ruiqi Liao, Yifan Zhang, Jihong Guan, and Shuigeng Zhou*. CloudNMF: a MapReduce implementation of nonnegative matrix factorization for large scale biological datasets. Genomics, Protemics and Bioinformatics, 12(1): 48-51, 2014.
[58] Lei Deng, Qiangfeng Cliff Zhang, Zhigang Chen, Yang Meng, Jihong Guan* and Shuigeng Zhou*. PredHS: a web server for predicting protein–protein interaction hot spots by using structural neighborhood properties. Nucleic Acids Research, 42(Webserver-Issue): 290-295, 2014.
[59] Wei Xiong, Luyu Xie, Shuigeng Zhou*, Jihong Guan. Active Learning for Protein Function Prediction in Protein-protein Interaction Networks. Neurocomputing, 145:44–52, 2014.
[60] Ruiqi Liao, Ruichang Zhang, Jihong Guan, and Shuigeng Zhou*. A New Unsupervised Binning Approach for Metagenomic Sequences Based on N-grams and Automatic Feature Weighting. IEEE Transactions on Computational Biology and Bioinformatics, 11(1): 42-54, 2014.
[61] Yanglan Gan, Jihong Guan*, Shuigeng Zhou, and Weixiong Zhang. Identifying cis-regulatory elements and modules using Conditional Random Fields. IEEE Transactions on Computational Biology and Bioinformatics, 11(1): 73-82, 2014.
[62] Wei Xiong, Luyu Xie and Shuigeng Zhou*, Hui Liu, Jihong Guan. The centrality of cancer proteins in human protein-protein interaction network: a revisit. International Journal of Computational Biology and Drug Design, 7(2/3): 146-156, 2014.
[63] Zhili Song, Shuigeng Zhou, and Jihong Guan*. A novel image registration algorithm for remote sensing under affine transformation. IEEE Transactions on Geoscience and Remote Sensing, 52(8): 4895-4912, 2014.
[64] Ling Li, Jihong Guan*, and Shuigeng Zhou. Mean first passage time for random walk on dual structure of dendrimer. Physica A. 415:463-472, 2014.
[65] Qingting Wei, Jihong Guan*, Shuigeng Zhou, and Xin Wang. A New and Effective Approach to GML Documents Compression. The Computer Journal, 57(11):1723-1740, 2014.
[66] Lei Deng, Jihong Guan*, Xiaoming Wei, Bin Xu, Qiangfeng Cliff Zhang, and Shuigeng Zhou*. Boosting Prediction Performance of Protein-Protein Interaction Hot Spots by Using Structural Neighborhood Properties (An extended version of our RECOMB 2013 paper). Journal of Computational Biology, 20(11): 878-891, 2013.
[67] Shuigeng Zhou*, Ruiqi Liao, and Jihong Guan. When Cloud Computing Meets Bioinformatics: A Review. Journal of Computational Biology and Bioinformatics, Volume 5, Issue 3, 2013.
[68] Wei Xiong, Hui Liu, Jihong Guan, and Shuigeng Zhou*. Protein Function Prediction by Collective Classification with Explicit and Implicit Edges in Protein-protein Interaction Networks (An extended version of our BIBM 2012 Workshop paper). BMC Bioinformatics, 14(S12), 2013.
[69] Yanwei Xu, Jihong Guan*, Fengrong Li, Shuigeng Zhou. Scalable continual top-k keyword search in relational databases. Data and Knowledge Engineering, 86: 206-223, 2013.
[70] Hui Liu, Shuigeng Zhou*, and Jihong Guan*. Identifying Mammalian MicroRNA Targets Based on Supervised Distance Metric Learning. IEEE Journal of Biomedical and Health Informatics (previously IEEE Transactions on Information Technology in Biomedicine),17(2):427-435, March 2013.
[71] Yichao Zhang, Shi Zhou, Zhongzhi Zhang, Jihong Guan*, Shuigeng Zhou. Rumor Evolution in Social Networks, Physical Review E, 87, 032133, March 15, 2013.
[72] Yifeng Luo, Shuigeng Zhou*, and Jihong Guan. A RAMCloud Storage System Based on HDFS: Architecture, Implementation and Evaluation. Journal of Systems and Software, 86(3): 744-750, 2013
[73] Bin Xu, Xiaomin Wei, Lei Deng, Jihong Guan*, Shuigeng Zhou*. A Semi-supervised Boosting SVM for Predicting Hot Spots at Protein-protein Interfaces. BMC Systems Biology, 6(S2), 2012.
[74] Jiandong Ding, Shuigeng Zhou* and Jihong Guan. Finding MicroRNA Targets in Plants: Current Status and Perspectives. Genomics, Protemics and Bioinformatics, 10: 264-275, 2012.
[75] Linxia Wan, Jiandong Ding, Ting Jin, Jihong Guan and Shuigeng Zhou*. Automatically clustering large-scale miRNA sequences: methods and experiments. BMC Genomics, 13(S8), 2012.
[76] Jiandong Ding, Danqing Li, Uwe Ohler, Jihong Guan, Shuigeng Zhou*, Genome-wide search for miRNA-target interactions in Arabidopsis thaliana with an integrated approach, BMC Genomics, 13:S3, 2012.
[77] Hui Liu, Ting Jin, Ruiqi Liao, Linxia Wan, Bin Xu, Shuigeng Zhou* and Jihong Guan. miRFANs: an integrated database for Arabidopsis thaliana microRNA function annotations. BMC Plant Biology,12:68, 2012.
[78] Yanglan Gan, Jihong Guan*, Shuigeng Zhou*. A Comparison Study on Feature Selection of DNA Structural Properties for Promoter Prediction, BMC Bioinformatics, 13:4, 2012.
[79] Yanglan Gan, Jihong Guan*, Shuigeng Zhou and Weixiong Zhang. Structural features based genome-wide characterization and prediction of nucleosome organization. BMC Bioinformatics, 13:49, 2012.
[80] Junjie Wang, Shuigeng Zhou*, and Jihong Guan. Detecting Potential Collusive Cliques in Futures Markets Based on Trading Behaviors from Real Data. Neurocomputing, 92: 44-53, 2012.
[81] Xin Geng, Jihong Guan*, Qiwen Dong, and Shuigeng Zhou. An Improved Genetic Algorithm for Statistical Potential Function Design and Protein Structure Prediction. International Journal of Data Mining and Bioinformatics, 6(2): 162-177, 2012.
[82] Ming Xu, Shuigeng Zhou*, and Jihong Guan. Enhancing Routing Robustness of Unstructured Peer-to-Peer Networks Using Mobile Agents. Journal of Network and Systems Management, Springer, 20(3): 309-352, 2012.
[83] Yichao Zhang, Shi Zhou, Zhongzhi Zhang, Jihong Guan, Shuigeng Zhou, and Guanrong Chen. Traffic fluctuations on weighted networks. IEEE Circuits and Systems Magazine, first quarter 2012, pages 33-44, February 2012 (Feature article).
[84] Weihua Zan, Zhongzhi Zhang, Jihong Guan, and Shuigeng Zhou. Evolutionary method for finding communities in bipartite networks. Physical Review E, 83: 066120, 2011.
[85] Xiangwei Chu, Zhongzhi Zhang, Jihong Guan*, Shuigeng Zhou. Epidemic Spreading with Nonlinear Infectivity in Weighted Scale-free Networks. Physica A: Statistical Mechanics and its Applications, 2011, 390(3):471-481
[86] Yichao Zhang, Zhongzhi Zhang, Jihong Guan*, Shuigeng Zhou. Diffusion-Annihilation Processes in Weighted Scale-free Networks with an Identical Degree Sequence. Journal of Statistical Mechanics: Theory and Experiment. 2011, 10: P10001.
[87] Jiandong Ding, Shuigeng Zhou and Jihong Guan. miRFam: an effective automatic miRNA classification method based on n-grams and a multiclass SVM. BMC Bioinformatics, 12:216, 2011.
[88] Lei Deng, Jihong Guan*, Qiwen Dong and Shuigeng Zhou, SemiHS: An Iterative Semi-supervised Approach for Predicting Protein-protein Interaction Hot Spots, Protein & Peptide letters, 18(9):896-905, 2011.
[89] Ming Xu, Shuigeng Zhou, Jihong Guan. A new and effective hierarchical overlay structure for Peer-to-Peer networks. Computer Communications, 34(7):862-874, 2011.
[90] Junjie Wang, Shuigeng Zhou, Jihong Guan, Characteristics of Real Futures Trading Networks, Physica A, 390(2): 398–409, 2011.
[91] Jiandong Ding, Shuiggeng Zhou and Jihong Guan. MiRenSVM: towards better prediction of microRNA precursors using an ensemble SVM classifier with multi-loop features. BMC Bioinformatics, 11: S11, 2010.
[92] Hui Liu, Shuigeng Zhou, Jihong Guan. Detecting Microarray Data Supported MicroRNA-mRNA Interactions. International Journal of Data Mining and Bioinformatics, 4(6): 639-655, 2010.
[93] Shuigeng Zhou, Ming Xu, and Jihong Guan. LESSON: A System for Lecture Notes Searching and Sharing over Internet. Journal of Systems and Software, 83:1851-1863, 2010.
[94] Ming Xu, Shuigeng Zhou, Jihong Guan, Xiaohua Hu. A Path-traceable Query Routing Mechanism for Search in Unstructured Peer-to-Peer Networks. Journal of Network and Computer Applications, 33(2): 115-127, 2010.
[95] Qiwen Dong, Shuigeng Zhou, Lei Deng and Jihong Guan. Gene ontology-based protein function prediction by using sequence composition information. Protein & Peptide letters, 17(6): 789-795, 2010.
[96] Junjie Wang, Shuigeng Zhou, Jihong Guan, Characteristics of Real Futures Trading Networks, Physica A, 390(2): 398–409, 2010.
[97] Lei Deng, Jihong Guan*, Qiwen Dong, and Shuigeng Zhou, Prediction of protein-protein interaction sites using an ensemble method. BMC Bioinformatics, 10:426, Dec. 2009.
[98] Qiwen Dong, Shuigeng Zhou, and Jihong Guan. A new taxonomy-based protein fold recognition approach based on auto-cross covariance transformation. Bioinformatics, 25(20):2655-2662, 2009.
[99] Yanglan Gan, Jihong Guan*, and Shuigeng Zhou. A pattern-based nearest neighbor search approach for promoter prediction using DNA structural profiles. Bioinformatics, 25 (16): 2006-2012, 2009
[100] Zhongzhi Zhang, Shuigeng Zhou, Tao Zou, Lichao Chen, Jihong Guan. Different thresholds of bond percolation in scale-free networks with identical degree sequence. Physical Review E, 79, 031110, 2009.
[101] Zhongzhi Zhang, Yi Qi, Shuigeng Zhou, Wenlei Xie and Jihong Guan. Exact solution for mean first-passage time on a pseudofractal scale-free web, Physical Review E, 79, 021127, 2009.
[102] Zhongzhi Zhang, Yichao Zhang, Shuigeng Zhou, Ming Yin and Jihong Guan. Influences of Degree Inhomogeneity on Average Path Length and Random Walks in Disassortative Scale-free Networks, Journal of Mathematical Physics, 50, 033514, 2009.
[103] Zhongzhi Zhang, Lichao Chen, Lujun Fang, Shuigeng Zhou, Yichao Zhang and Jihong Guan. The rigorous solution for the average distance of a Sierpinski network. Journal of Statistical Mechanics: Theory and Experiment, P02034, 2009.
[104] Jihong Guan, Shuigeng Zhou, and Yan Chen. An Effective GML Documents Compressor. IEICE Transactions on Information and Systems, Vol.E91-D, No.7, pp.1982-1990, Jul. 2008.
[105] Guobiao Hu, Shuigeng Zhou, Jihong Guan, and Xiaohua Hu, Towards Effective Document Clustering: A Constrained K-means Based Approach. Information Processing and Management, 44(4):1397–1409, 2008.
[106] Zhongzhi Zhang, Lichao Chen, Shuigeng Zhou, Lujun Fang, Jihong Guan, and Tao Zou. Exact analytical solution of average path length for Apollonian networks. Physical Review E, 77, 017102, 2008.
[107] Zhongzhi Zhang, Shuigeng Zhou, Zhan Su, Tao Zou, and Jihong Guan. Random Sierpinski network with scale-free small world and modular structure. European Physical Journal B, 65(1):141–147, 2008.
[108] Zhongzhi Zhang, Shuigeng Zhou, Lichao Chen, and Jihong Guan. Transition from fractal to non-fractal scalings in growing scale-free networks. European Physical Journal B, 64(2): 277–283, 2008.
[109] Zhongzhi Zhang, Shuigeng Zhou, Yi Qi, and Jihong Guan. Topologies and Laplacian spectra of a deterministic uniform recursive tree. European Physical Journal B, 63(4): 507–513, 2008.
[110] Zhang Zhongzhi, Zhou Shuigeng, Zhao Shanghong, Guan Jihong. Degree and component size distributions in generalized uniform recursive tree. Journal of Physics A: Mathematical and Theoretical, 41(18), 185101, 8pp, 2008.
[111] Zhang Zhongzhi, Zhou Shuigeng, Fang Lujun, Guan Jihong, Zhang Yichao. Maximal planar scale-free Sierpinski networks with small-world effect and power-law strength-degree correlation. Europhysics Letters, 79(3), 38007, 6pp, 2007.
[112] Zhongzhi Zhang, Shuigeng Zhou, Tao Zou, Lichao Chen, and Jihong Guan. Incompatibility networks as models of scale-free small-world graphs. European Physical Journal B, 60(2):259-264, 2007.
[113] Zhongzhi Zhang, Lili Rong, Bing Wang, Shuigeng Zhou, Jihong Guan. Local-world evolving networks with tunable clustering. Physica A, 380(1): 639–650, 2007.
会议论文
[1] Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan and Xin Wang. Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test. The thirty-third AAAI Conference on Artificial Intelligence (AAAI 2019). Vol. 33, pp. 3108-3115, Jan 27-Feb 1, 2019, Hawaii, USA.
[2] Fan Wu, Shuigeng Zhou, Kang Wang, Jihong Guan and Xin Wang. Simple Is Better: A Global Semantic Consistency Based End-to-End Framework for Effective Zero-Shot Learning. Pacific Rim International Conference on Artificial Intelligence (PRICAI 2019). Springer, pp. 98-112, Aug 26-30, 2019, Fiji.
[3] Kai Tian, Shuigeng Zhou, Jianping Fan and Jihong Guan. Learning Competitive and Discriminative Reconstructions for Anomaly Detection. The thirty-third AAAI Conference on Artificial Intelligence (AAAI 2019). Vol. 33, pp. 5167-5174, Jan 27-Feb 1, 2019, Hawaii, USA.
[4] Kai Tian, Yi Xu, Shuigeng Zhou and Jihong Guan. Versatile Multiple Choice Learning and Its Application to Vision Computing. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR2019). pp. 6349-6357, Jun 16-20, 2019, CA, USA.
[5] Hao Zhang, Shuigeng Zhou*, and Jihong Guan. Measuring Conditional Independence by Independent Residuals: Theoretical Results and Application in Causal Discovery. In: The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), pages 2029-2036, February 2nd-7th, 2018, New Orleans, Louisiana, USA.
[6] Wengen Li, Jiannong Cao, Jihong Guan, Man Lung Yiu, Shuigeng Zhou. Efficient Retrieval of Bounded-Cost Informative Routes. The 34th IEEE International Conference on Data Engineering (ICDE 2018), pages 1811-1812, April 16th-19th, 2018, Paris, France.
[7] Heng Yao, Yunjia Shi, Jihong Guan and Shuigeng Zhou. Accurately Detecting Protein Complexes by Graph Embedding and Combining Functions with Interactions. The 29th International Conference on Genome Informatics (GIW 2018), paper ID: 128, Dec 3rd-5th,2018, Kunming, China.
[8] Yanglan Gan, Ning Li, Guobing Zou, Yongchang Xin and Jihong Guan. Identification of cancersubtypes from single-cell RNA-seq data using a consensus clustering method. The 29th International Conference on Genome Informatics (GIW 2018), paper ID: 130, Dec 3rd-5th,2018, Kunming, China.
[9] Shengbing Pei, Jihong Guan and Shuigeng Zhou. Classifying Early and LateMild Cognitive Impairment Stages of Alzheimer's Disease by Fusing DefaultMode Networks Extracted with Multiple Seeds. The 29th International Conference on Genome Informatics (GIW 2018), paper ID: 131, Dec 3rd-5th,2018, Kunming, China.
[10] Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan. Causal Discovery Using Regression-Based Conditional Independence Tests. In: Proceedings of TheThirty-First AAAI Conference on Artificial Intelligence(AAAI 2017), pages 1250-1256, February 4th-9th, 2017, San Francisco, USA.
[11] Kai Tian, Shuigeng Zhou, and Jihong Guan. DeepCluster: A General Clustering Framework based on Deep Learning. In: Proceedings of ECML/PKDD 2017, September 2017.
[12] Yifeng Luo, Junshi Guo, Jiaye Zhu, Jihong Guan and Shuigeng Zhou. Supporting Cost-Efficient Multi-tenant Database Services with Service Level Objectives (SLOs). In: Proceedings of The 22nd International Conference on Database Systems for Advanced Applications(DASFAA 2017), pages 592-606, March 27th-30th, 2017, Suzhou, China..
[13] Zekun Ye, Kai Huang, Shuigeng Zhou and Jihong Guan. Gaussian Weighting Reversion Strategy for Accurate On-line Portfolio Selection. To appear in Proceedings of 29th IEEE International Conference on Tools with Artificial Intelligence (ICTAI2017), 2017.
[14] Jia Shi, Yifeng Luo, Shuigeng Zhou, Jihong Guan. A Graph Matching Based Method for Dynamic Passenger-Centered Ridesharing. In: Proceedings of the 27th International Conference on Database and Expert Systems Applications(DEXA 2017), volume 1, pages 49-64, Auguest 28th-31th, 2017, Lyon, France..
[15] Ying Xu, Jiaogen Zhou,Shuigeng Zhou and Jihong Guan. CPredictor3.0: Effectively detecting protein complexes from PPI networks with expression data and functional annotations[C]. //The 16th International Conference on Bioinformatics(InCoB 2017), paper ID: 46, September 20th-22th, 2017, Shenzhen, China.
[16] Yunjia Shi, Heng Yao, Jihong Guan, Shuigeng Zhou.Effectively Detecting Protein Complexes in Weighted Dynamic PPI Networks[C]. //The 2nd CCF Bioinformatics Conference(CBC 2017), paper ID: 89, October 13th-15th,2017, Changsha, China.
[17] Shengbing Pei, Jihong Guan, Shuigeng Zhou. Fusion Analysis of Resting State Networks And Its Application to Alzheimer's Disease[C].//The 2nd CCF Bioinformatics Conference(CBC 2017), paper ID: 91, October 13th-15th, 2017, Changsha, China.
[18] Jiaye Zhu, Yinglong Song, Jihong Guan, Shuigeng Zhou. Alignment of Dynamic Protein-Protein Interaction Networks Based on Segment Tree Optimization [C]. //The 2nd CCF Bioinformatics Conference(CBC 2017), paper ID: 88, October 13th-15th, 2017, Changsha, China.
[19] Wengen Li, Jiannong Cao, Jihong Guan, Man Lung Yiu, Shuigeng Zhou. Retrieving Routes of Interest over Road Networks. In: Proceedings of WAIM 2016, Part I, LNCS vol. 9658, pages 109-123, Springer, 2016.
[20] Yifu Huang, Kai Huang, Yang Wang, Hao Zhang, Jihong Guan, Shuigeng Zhou. Exploiting Twitter Moods to Boost Financial Trend Prediction Based on Deep Network Models. In: Proceedings of 2016 International Conference on Intelligent Computation (ICIC’16), LNCS vol. 9773, pages 449-460, Springer, 2016.
[21] Kai Tian, Mingyu Huang, Shuigeng Zhou, and Jihong Guan. Boosting Compound-Protein Interaction Prediction by Deep Learning. In Proceedings of 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2015), pp.29-34, Washington D. C., USA, Nov. 9-12, 2015.
[22] Hui Liu, Jianjiang Sun, Jihong Guan, Jie Zheng and Shuigeng Zhou*. Improving compound-protein interaction prediction by building up highly credible negative samples. In ISMB 2015, full paper in Bioinformatics, 2015.
[23] Yifu Huang, Shuigeng Zhou, Kai Huang, Jihong Guan. Boosting Financial Trend Prediction with Twitter Mood Based on Selective Hidden Markov Models. In: Proceedings of DASFAA 2015, pp. 435-451, Hanoi, Vietnam,April 20-23, 2015.
[24 [24] Zhong Xu, Jihong Guan, Jiaogen Zhou. A distributed inverse distance weighted interpolation algorithm based on the cloud computing platform of Hadoop and its implementation. FSKD 2015: 2412-2416
[25 [25] Chao Tan, Jihong Guan, Shuigeng Zhou. IKLTSA: An Incremental Kernel LTSA Method. MLDM 2015: 70-83
[26 [26] Yichao Zhang, M. A. Aziz-Alaoui, Cyrille Bertelle, Jihong Guan, Shuigeng Zhou. Knowledge Diffusion in Complex Networks. UIC/ATC/ScalCom 2015: 1139-1143
[27] Weili Wang, Jihong Guan, Wengen Li, Long Zhang. GR-tree: An efficient index structure for GML. In: Proceedings of 2014 Geoinformatics, pages 1-6, 2014.
[28] Yi Yang, Jihong Guan and Shuigeng Zhou. Calculating the Crossing Probability on the Square Tessellation of a Connection Game with Random Move Order: The Algorithm and Its Complexity. In: Proceedings of the 8th International Frontiers of Algorithmics Workshop (FAW 2014), LNCS 8497, pages 288–297, Springer. June 28-30, 2014, Zhangjiajie, China.
[29] Xiaojing Xie, Jihong Guan and Shuigeng Zhou. Similarity Analysis of DNA Sequences Based on Frequent Patterns and Entropy. In: Proceedings of the 10th International Symposium on Bioinformatics Research and Applications (ISBRA 2014), LNCS 8492, page 388, Springer. June 28-30, 2014, Zhangjiajie, China.
[30] Ruichang Zhang, Zhanzhan Cheng, Jihong Guan and Shuigeng Zhou. Exploiting Topic Modeling to Boost Metagenomic Sequences Binning. In: Proceedings of the 10th International Symposium on Bioinformatics Research and Applications (ISBRA 2014), LNCS 8492, page 389, Springer. June 28-30, 2014, Zhangjiajie, China.
[31] Siqiang Luo,Yifeng Luo,Shuigeng Zhou,Gao Cong,Jihong Guan,Zheng Yong. Distributed Spatial Keyword Querying on Road Networks. In: Proceedings of EDBT’14, pages 235-246, March 2014.
[32] Wengen Li, Jihong Guan, and Shuigeng Zhou. Efficiently Evaluating Range-Constrained Spatial Keyword Query on Road Networks. In: Proceedings of DASFAA 2014 Workshops, pages 283-295, April 2014.
[33] Mingyu Shao, Shuigeng Zhou, and Jihong Guan. Revisiting Topological Properties and Models of Protein-Protein Interaction Networks from the Perspective of Dataset Evolution. To appear in Proceedings of BIBM 2014 Workshops, IEEE, November 2-5, 2014, Belfast, UK.
[34] Lei Deng, Jihong Guan, Xiaoming Wei, Yuan Yi, and Shuigeng Zhou. Boosting Prediction Performance of Protein-Protein Interaction Hot Spots by Using Structural Neighborhood Properties. In: Proceedings of RECOMB 2013, pp. 333-344, Beijing, China, April 7-10, 2013.
[35] Wei Xiong, Luyu Xie, Jihong Guan, and Shuigeng Zhou. Active Learning for Protein Function Prediction in Protein-Protein Interaction Networks. In: Proceedings of 8th IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2013), pp. 172-183, June 19-20, Nice, France.
[36] Siqiang Luo, Yifeng Luo, Shuigeng Zhou, Gao Cong, Jihong Guan: DISKs: A System for Distributed Spatial Group Keyword Search on Road Networks. PVLDB, 5(12): 1966-1969, 2012.
[37] Mingyu Shao, Yi Yang, Jihong Guan, and Shuigeng Zhou. A Comparison Study on Protein-protein Interaction Network Models. In: Proceedings of IEEE BIBM 2012, pages 491-494, Philadelphia, USA, October 2012.
[38] Yuan Yi, Jihong Guan, Shuigeng Zhou, Effective Clustering of MicroRNA Sequences by N-grams and Feature Weighting. In: Proceedings of 6th IEEE International Conference on Systems Biology (ISB’12), pages 203-210, Xi'an, China, August 18-20, 2012.
[39] Wei Xiong, Hui Liu, Jihong Guan, Shuigeng Zhou. Effectively Predicting Protein Functions by Collective Classification (An Extended Abstract). In: Proceedings of 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, page 634-639, Philadelphia, USA, October 2012.
[40] Jiandong Ding, Shusi Yu, Uwe Ohler, Jihong Guan, and Shuigeng Zhou. imiRTP: an integrated method to identifying miRNA-target interactions in Arabidopsis thaliana. In: Proceedings of BIBM 2011, November 2011.
[41] Boliang Zhang, Shuigeng Zhou, Jihong Guan. Adapting Skyline Computation to the MapReduce Framework: Algorithms and Experiments. In: Proceedings of DASFAA Workshops 2011, 403-414, Springer, 2011.
[42] Yifeng Luo, Jihong Guan, and Shuigeng Zhou: Towards Efficient Subgraph Search in Cloud Computing Environments. In: Proceedings of DASFAA Workshops 2011, pages 2-13, Springer, 2011.
[43] Qiwen Dong, Xin Geng, Shuigeng Zhouand Jihong Guan. Empirical probability function derived from dihedral angles for protein structure prediction. In: Proceedings of IEEE BIBE 2009, pp. 146-152, June 2009.
[44] Jihong Guan, Shuigeng Zhou, GPress: Towards Effective GML Documents Compresssion. In: Proceedings of ICDE 2007, pp. 1473-1474, IEEE CS, 2007. (demo)
[45] Hekang Chen, Shuigeng Zhou, and Jihong Guan. Towards Energy-Efficient Skyline Monitoring in Wireless Sensor Networks. Proceedings of 4th European Conference on Wireless Sensor Networks (EWSN 2007), LNCS, vol. 4373, pp.101-116, Springer, Jan. 2007.
[46] Fubao Zhu, Jihong Guan, and Shuigeng Zhou. Constraints-preserving GML Storage in Object-Relational Databases. Proceedings of ACM-GIS 2007, pp. 348-351, November 2007.
[1] 邓磊，关佶红，基于机器学习的蛋白质相互作用与功能预测，同济大学出版社，2018年5月
[2] 甘杨兰，关佶红，面向基因组分析的数据挖掘算法研究，同济大学出版社，2018年6月
[3] 张毅超、关佶红，加权网络的建模与随机扩散，同济大学出版社，2019年2月
（1）申请专利
[1] 关佶红等，一种高性能GML多文档流压缩信息处理方法。201110004067.9
[2] 关佶红等，一种模式无关的GML文档存储方法。201110003486.0
[3] 关佶红等，一种基于区间编码的GML文档索引方法。201110003475.2
[4] 关佶红等，一种高性能GML流压缩方法. 2010101483805
[5] 关佶红等，一种基于坐标分离的GML文档存储与查询方法. 201010148350.4
[6] 关佶红等，一种基于文档模式的GML压缩方法. 201010148374.X
[7] 关佶红等，一种新的空间信息发布样式表处理器的转换方法, 200410061185.3
[8] 关佶红等，基于移动Agent和GML的分布式GIS空间信息集成装置，200410061184.9
[9] 周水庚，叶泽坤，关佶红. 一种金融市场在线投资组合选择方法，2017106891427，20170814
[10] 周水庚，刘超斌，关佶红. 一种大数据查询处理的隐私保护方法，201710689147X，20170814
[11] 周水庚，王俊杰，关佶红，张浩. 一种金融交易网络演化建模方法，2017107033705，20170816
[12] 周水庚，王俊杰，关佶红. 一种金融领域关联交易的检测方法，2017107158838，20170821
[13] 周水庚，袁梓峰，孙志丹，关佶红, 一种基于疾病本体的疾病相似度计算方法, 201811255993.1，2019/10/26
[14] 周水庚，张浩，关佶红，一种基于因果分割的递归式因果推断方法，201811265052.6，2018/10/29
[15] 周水庚，关佶红，刘朝斌，一种基于条件概率分布的隐私保护数据发布方法，201811265074.2， 2018/10/29
[16] 周水庚，田凯，关佶红，一种基于深度神经网络的高置信度的多选择学习方法，201811333067.1，2018/11/09
[17] 周水庚，田凯，关佶红，一种基于竞争重构学习的半监督异常检测方法，201811317051.1， 2018/11/07
[18] 周水庚，黄凯，胡海波，关佶红，一种高效的隐私保护子图查询处理方法，201811329958.X，2018/11/09
[19] 周水庚，刘朝斌，陈世熹，关佶红，基于随机应答技术的通用数据发布隐私保护方法，201910558380.3，2019/06/26
[20] 周水庚，叶泽坤，邓维杰，关佶红，基于深度强化学习的金融市场最优交易方法，201910558312.7，2019/06/26
[21] 关佶红, 魏畅, 刘天颖, 杨涵晨, 张毅超, 周水庚. 一种俯视图像的目标计数方法、系统及存储介质, 202111496641.7, 2021/12/09
[22] 关佶红, 田雨竹, 叔宇楼, 杨涵晨, 李文根, 周永庚. 社交媒体数据多模态态度分析方法, 202111506605.4, 2021/12/10
[23] 张毅超, 杨玥, 刘甜甜, 关佶红, 李文根, 周水庚. 一种跨社交网络用户身份匹配的方法, 202111505497.9, 2021/12/10
[24] 关佶红, 郭思远, 刘天颖, 李文根, 张毅超, 周永庚. 全景图像的空间感知地理定位方法与系统, 202111541040.3, 2021/12/10
[25] 张毅超, 庄湟新, 关佶红, 李文根, 周水庚. 社交网络信息扩散预测模型, 202210247062.7, 2022/03/14.
[26] 关佶红，潘玉亮，吕刘正浩，李文根，张毅超，周水庚. 一种高效构建人类蛋白质复合物图谱的方法与系统，202210330089.2, 2022/03/22
[27] 关佶红，孔令百，杨涵晨，李文根，张毅超. 面向交通拥堵预测的可解释性时空分析方法, 202211094177.3, 2022/09/08
[28] 关佶红，王家祺，邢婷，孙会峰，魏小敏，李文根，邵冰清，付宠洁。一种面向产业知识图谱的企业上下游关系预测方法，202211318411.6, 2022/10/24
[29] 关佶红, 王淑玉, 杨涵晨，李文根，张毅超. 基于图注意力网络的海洋遥感缺失数据智能补全方法, 202211045506.5, 2022/12/13
[30] 关佶红, 李辉, 李文根, 张毅超. 一种双编码半监督非靶向食品污染物检测方法, 202211152644.3, 2022/12/30.
（2）登记软著
[1] 周水庚，叶泽坤，关佶红. 在线投资组合选择集成系统[简称OnlinePS] V1.0，2017SR482158
[2] 同济大学：关佶红, 李睿祎, 王志业, 贾英奇. scRNA-Seq数据共享与聚类方法集成平台软件[简称：scClust]V2.0, 2021SR0653833