Cancan Li, Fei Su, Juan Liu*, Audio-Visual Wake-up Word Spotting Under Noisy and Multi-person Scenarios. In: Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, CL., Bhattacharya, S., Pal, U. (eds) Pattern Recognition. ICPR 2024. Lecture Notes in Computer Science, vol 15333. pp. 170-184. Springer, Cham.DOI: https://doi.org/10.1007/978-3-031-80136-5_12

Yaolong Zhu, Ding Zhu and Juan Liu*. RA-LENet:R-Wave Attention and Local Enhancement for Noise Reduction in ECG Signals. 2024 International Joint Conference on Neural Networks (IJCNN) (2024). DOI: Yokohama, Japan, 2024, pp. 1-9

Yuqi Chen, Juan Liu*, Lang Wang, Peng Jiang, Baochuan Pang, Dehua Cao. Predicting breast cancer molecular subtypes from H &E-stained histopathological images using a spatial-transcriptomics-based patch filter. Multimed Tools Application, 2024 (2024). DOI: https://doi.org/10.1007/s11042-024-20160-8

Weihong Huang, Feng Yang, Qiang Zhang, Juan Liu*. A dual-scale fused hypergraph convolution-based hyperedge prediction model for predicting missing reactions in genome-scale metabolic networks. Briefings in Bioinformatics, 25(5): bbae383, 2024 (2024). DOI: https://doi.org/10.1093/bib/bbae383

Wensi Duan, Juan Liu*, Lang Wang, Yu Jin, Peng Jiang, Cheng Li, Dehua Cao, Baochuan Pang. BS2CL: Balanced Self-Supervised Contrastive Learning for Thyroid Cytology Whole Slide Image Multi-Classification. In D.-S. Huang et al. (Eds.): ICIC 2024, LNCS 14868, pp. 41–52, 2024. Springer (2024). DOI: https://doi.org/10.1007/978-981-97-5600-1_4

Yuxiao Wang, Ding Zhu, Juan Liu*. A Multi-Scale Multivariate Time Series Classification Method Based on Bag of Patterns. In D.-S. Huang et al. (Eds.): LNAI 14876, pp. 269-280, 2024. Springer. (2024). DOI: https://doi.org/10.1007/978-981-97-5666-7_23

Hayat Ali Shah, Juan Liu*, Zhihui Yang. GTIE-RT: A Comprehensive Graph Learning Model for Predicting Drugs Target Metabolic Pathways in Humam. Journal of Bioinformatics and Computational Biology (JBCB), 2024, 22(3):2450010 (2024). DOI: https://dx.doi.org/10.1142/S0219720024500100

Tianqi Teng, Feng Yang, Qiang Zhang, Juan Liu*. Variable-length Promoter Strength Prediction based on Graph Convolution. In W. Peng et al. (Eds.): ISBRA 2024, LNBI 14954, pp. 310-321, 2024. (2024). DOI: https://doi.org/10.1007/978-981-97-5128-0_25

Xiaolei Zhang, Juan Liu*, Feng Yang, Qiang Zhang, Zhihui Yang, Hayat Ali Shah. Planning biosynthetic pathways of target molecules based on metabolic reaction prediction and AND-OR tree search. Computational Biology and Chemistry, 111 (2024): 108106 (2024). The 21 st Asia Pacific Bioinformatics Conference (APBC2023), April14-16, 2023, Changsha, China (2023). (2024). DOI: https://doi.org/10.1016/j.compbiolchem.2024.108106

Peng Jiang, Juan Liu∗, Jing Feng, Hua Chen, Yuqi Chen, Cheng Li, Baochuan Pang, Dehua Cao. Interpretable detector for cervical cytology using self-attention and cell origin group guidance. Engineering Applications of Artificial Intelligence 134 (2024) 108661 (2024). DOI: https://doi.org/10.1016/j.engappai.2024.108661

Tian Tian, Jie Zhang, Xiang Lin, Zhi Wei, Hakon Hakonarson. Dependency-aware deep generative models for multitasking analysis of spatial omics data. Nature Methods (2024). DOI: https://doi.org/10.1038/s41592-024-02257-y

Yuqi Chen, Juan Liu*, Peng Jiang, Yu Jin.. A novel multilevel iterative training strategy for the ResNet50 based mitotic cell classifier. Computational Biology and Chemistry 110 (2024) 108092 (2024). The 21 st Asia Pacific Bioinformatics Conference (APBC2023), April14-16, 2023, Changsha, China (2023) (2024). DOI: https://doi.org/10.1016/j.compbiolchem.2024.108092

Yucong Zhang, Juan Liu*, Yao Tian, Haifeng Liu, Ming Li*. A Dual-Path Framework with Frequency-and-Time Excited Network for Anomalous Sound Detection. ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 1266-1270 (2024). DOI: 10.1109/ICASSP48485.2024.10448126

Lang Wang; Peng Jiang; Wensi Duan; Dehua Cao; Baochuan Pang; Juan Liu*. Coupling Self-Supervised and Supervised Contrastive Learning for Multiple Classification of Cervical Cytological Whole Slide Images. ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Soul, Kroea, 14-19 April 2024 pp. 2315-19. (2024). DOI: 10.1109/ICASSP48485.2024.10446708

Zhihui Yang, Juan Liu∗ , Feng Yang, Xiaolei Zhang, Qiang Zhang, Xuekai Zhu, Peng Jiang. Advancing Drug-Target Interaction prediction with BERT and subsequence embedding. Computational Biology and Chemistry 110 (2024) 108058. The 21 st Asia Pacific Bioinformatics Conference (APBC2023), April14-16, 2023, Changsha, China (2023) (2024). DOI: https://doi.org/10.1016/j.compbiolchem.2024.108058

Yu Jin, Juan Liu*, Yuanyuan Zhou, Rong Chen, Hua Chen, Wensi Duan, Yuqi Chen and Xiaolian Zhang. CRDet: A circle representation detector for lung granulomas based on multi-scale attention features with center point calibration. Computerized Medical Imaging and Graphics, 113 (2024) 102354 (2024). DOI: 10.1016/j.compmedimag.2024.102354

Qiang Zhang, Juan Liu*, Wen Zhang*, Feng Yang, Zhihui Yang, Xiaolei Zhang. multi-stream network for retrosynthesis prediction. Frontiers of Computer Science, 18(2): 182906 (2024). DOI: 10.1007/s11704-023-3103-z

左志群;刘娟;陈玉琦;肖笛;庞宝川;曹德华. 用于组织病理图像分类的端到端注意力池化方法. 武汉大学学报 ( 信息科学版) (2024). DOI: 2024, 49(7): 1070-1078.

Qiang Zhang, Juan Liu*, Feng Yang, Zhihui Yang, Jing Feng. SLPFA: Protein Structure-Label Embedding Attention Network for Protein Function Annotation. 2023 IEEE International Conference on Bioinformatics and Biomedicine （BIBM2023），82-87，December 5-8, 2023,Istanbul, Turkey, pp.82-87. (2023). DOI: 10.1109/BIBM58861.2023.10385633

Jianghang Liu, Juan Liu*, Zhihui Yang, Feng Yang, Qiang Zhang. AMTL-RFC:A multi-task learning based method for evaluating the feasibility of enzymatic reactions. 2023 IEEE International Conference on Bioinformatics and Biomedicine （BIBM2023），82-87，December 5-8, 2023,Istanbul, Turkey, pp.574-579. (2023). DOI: 10.1109/BIBM58861.2023.10385975

Hua Chen, Juan Liu*, Peng Jiang, Yu Jin, Jing Feng, Baochuan Pang, Dehua Cao, Cheng Li. MSCCNet: Multi-Scale Convolution-Capsule Network for Cervical Cell Classificatioin. 2023 IEEE International Conference on Bioinformatics and Biomedicine （BIBM2023），82-87，December 5-8, 2023,Istanbul, Turkey, pp.1842-1845. (2023). DOI: 10.1109/BIBM58861.2023.10385911

Ting Long, Juan Liu*, Hua Chen, Tingguan Sun, Zhijun Sun. Predicting Tertiary Lymphoid Structures in Head and Neck Contrast-Enhanced CT Images using a 3D CNN. 2023 IEEE International Conference on Bioinformatics and Biomedicine （BIBM2023），82-87，December 5-8, 2023,Istanbul, Turkey, pp.3535-3541. (2023). DOI: 10.1109/BIBM58861.2023.10385942

Na Zhang, Juan Liu*. Pyramid Shape-aware Semi-supervised Learning for Thyroid Nodules Segmentation in Ultrasound Images. The 6th Chinese Conference on Pattern Recognition and Computer Vision (PRCV2023), Oct.13-15, 2023, Xiamen, China, pp.407-418. (2023). DOI: 10.1007/978-981-99-8469-5_32

Peng Jiang, Xuekong Li, Hui Shen, Yuqi Chen, Lang Wang, Hua Chen, Jing Feng, Juan Liu*. A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis. Artificial Intelligence Review (2023). DOI: 10.1007/s10462-023-10588-z

Hayat Ali Shah, Juan Liu*, Zhihui Yang, Feng Yang, Qiang Zhang, Jing Feng. Predicting Compounds Presence in Pathway Modules and Classifying into Module Classes Using Deep Neural Networks Based on Molecular Properties. Journal of Bioinformatics and Computational Biology,21(4):2023 (2023). DOI: 10.1142/S0219720023500178

Hayat Ali Shah, Juan Liu*, Zhihui Yang, Jing Feng. DeepMAT: Predicting Metabolic Pathways of Compounds Using a Message Passing and Attention-Based Neural Networks. In: Huang, DS., Premaratne, P., Jin, B., Qu, B., Jo, KH., Hussain, A. (eds) Advanced Intelligent Computing Technology and Applications. ICIC 2023. Lecture Notes in Computer Science, vol 14088. Springer, Singapore. (2023). DOI: 10.1007/978-981-99-4749-2_37

Peng Jiang; Juan Liu*; Yuqi Chen; Hua Chen; Baochuan Pang; Dehua Cao. Medical Knowledge Guided Intra-Specimen Reference Network for Cervical Cell Classification. 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), Cartagena, Colombia, 2023, pp. 1-5 (2023). DOI: 10.1109/ISBI53787.2023.10230444

Na Zhang, Juan Liu*, Yu Jin, Wensi Duan, Ziling Wu, Zhaohui Cai* and Meng Wu*. An adaptive multi-modal hybrid model for thyroid nodules diagnosis using ultrasound images and infrared thermal images. BMC Bioinformatics，24:315 ，2023 (2023). DOI: 10.1186/s12859-023-05446-2

Xuekai Zhu, Jian Guan, Minlie Huang, Juan Liu. StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14803–14819, Toronto, Canada. Association for Computational Linguistics. 2023 (2023). DOI: 10.18653/v1/2023.acl-long.827

Lang Wang, Juan Liu*, Peng Jiang, Dehua Cao, Baochuan Pang. DDN: Dynamic Aggregation Enhanced Dual-Stream Network for Medical Image Classification. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5 (2023). DOI: 10.1109/ICASSP49357.2023.10094736

Lang Wang, Juan Liu*, Peng Jiang, Dehua Cao, Baochuan Pang. LGVIT: Local-Global Vision Transformer for Breast Cancer Histopathological Image Classification. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5 (2023). DOI: 10.1109/ICASSP49357.2023.10096781

Yuqi Chen, Juan Liu*, Zhiqun Zuo, Peng Jiang, Yu Jin, Guangsheng Wu. Classifying Pathological Images Based on Multi-Instance Learning and End-to-End Attention Pooling. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5 (2023). DOI: 10.1109/ICASSP49357.2023.10094946

Yu Jin, Juan Liu*, Hua Chen, Wensi Duan, Dehua Cao, Baochuan Pang. MASKED-AP: Attention Pyramid Convolutional Neural Network with Mask for Cervical Cell Classification. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5 (2023). DOI: 10.1109/ICASSP49357.2023.10095992

Hua Chen, Juan Liu, Yu Jin, Baochuan Pang, Dehua Cao and Di Xiao. DSCC: a data set of cervical cell images for cervical cytology screening. International Journal of Data Mining and Bioinformatics vol.27,issue 1-3 (2023). DOI: 10.1504/ijdmb.2022.130325

Peng Jiang, Juan Liu*, Hua Chen, Cheng Li, Baochuan Pang, Dehua Cao. Channel Spatial Collaborative Attention Network for Fine-Grained Classification of Cervical Cells. . In: M. Tanveer et al. (Eds.): ICONIP2022, Neural Information Processing. vol. 1793, pp. 540–551, 2023. Springer, Singapore. (2023). DOI: 10.1007/978-981-99-1645-0_45

Peng Jiang, Juan Liu*, Qiang Luo. Baochuan Pang, Di Xiao, Dehua Cao. Development of Automatic Portable Pathology Scanner and Its Evaluation for Clinical Practice. Journal of Digital Imaging 36, 1110–1122. (2023). DOI: 10.1007/s10278-022-00761-1

Zhihui Yang, Juan Liu*, Xuekai Zhu, Feng Yang, Qiang Zhang, Hayat Ali Shah. FragDPI: A Novel Drug–Protein Interaction Prediction Model Based on Fragment Understanding and Unified Coding. Frontiers of Computer Science, 17(5): 175903 (2023). DOI: 10.1007/s11704-022-2163-9

X. Zhu, J. Liu*, J. Zhang, Z. Yang, F. Yang and X. Zhang. FingerDTA: A Fingerprint-Embedding Framework for Drug-Target Binding Affinity Prediction. Big Data Mining and Analytics, 6(1):1-10 (2023). DOI: 10.26599/BDMA.2022.9020005

Yuqi Chen, Juan Liu*, Peng Jiang and Yu Jin. A novel multilevel iterative training strategy for the ResNet50 based mitotic cell classifier. The 21 st Asia Pacific Bioinformatics Conference (APBC2023), April14-16, 2023,Changsha, China (2023). DOI:

Xiaolei Zhang, Juan Liu*, Feng Yang, Qiang Zhang, Zhihui Yang and Hayat Ali Shah. Planning Biosynthetic Pathways of Target Molecules Based on Metabolic Reaction Prediction and AND-OR Tree Search. The 21 st Asia Pacific Bioinformatics Conference (APBC2023), April14-16, 2023, Changsha, China (2023). DOI:

Yuqi Chen, Juan Liu*, Peng Jiang, Jing Feng*, Dehua Cao, and Baochuan Pang. A Context-guided Attention Method for Integrating Features of Histopathological Patches. in 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, NV, USA, 2022 pp. 2281-2286 (2022). DOI: 10.1109/BIBM55620.2022.9995300

Peng Jiang, Juan Liu*, Lang Wang, Jing Feng*, Dehua Cao, and Baochuan Pang. Classifying Cervical Histopathological Whole Slide Images via Deep Multi-Instance Transfer Learning. in 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, NV, USA, 2022 pp. 2302-2307 (2022). DOI: 10.1109/BIBM55620.2022.9995014

Yuqi Chen, Juan Liu*, Peng Jiang, Lang Wang, Baochuan Pang, Dehua Cao. Predicting Tumor Mutation Burden of TNBC Based on Nuclei Scores of Histopathological Images. in 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, NV, USA, 2022 pp. 936-941 (2022). DOI: 10.1109/BIBM55620.2022.9995061

Lele Li, Ziling Wu, Juan Liu*, Lang Wang, Yu Jin, Peng Jiang, Meng Wu. Cross-Attention Based Multi-Scale Feature Fusion Vision Transformer For Breast Ultrasound Image Classification. in 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, NV, USA, 2022 pp. 1616-1619. (2022). DOI: 10.1109/BIBM55620.2022.9994966

Wensi Duan†, Lili Gao†,Juan Liu*, Cheng Li,Peng Jiang, Lang Wang, Hua Chen, Xiaorong Sun, Dehua Cao, Baochuan Pang, Rong Li and Sai Liu. Computer-Assisted Fine-Needle Aspiration Cytology of Thyroid Using Two-Stage Refined Convolutional Neural Network. Electronics, 11(24), 4089 (2022). DOI: 10.3390/electronics11244089

Peng Jiang, Juan Liu*, Lang Wang, Zhihui Yang, Hongyu Dong, Jing Feng. Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification. arXiv:2209.13844, (2022). DOI: 10.48550/arXiv.2209.13844

Zhihui Yang, Juan Liu* , Hayat Ali Shah and Jing Feng. A novel hybrid framework for metabolic pathways prediction based on the graph attention network. BMC Bioinformatics,23:329 (2022). DOI: 10.1186/s12859-022-04856-y

Yuru Chen, Jing Feng*, Juan Liu, Baochuan Pang, Dehua Cao, Cheng Li. Detection and Classification of Lung Cancer Cells Using Swin Transformer. Journal of Cancer Therapy 13.7 (2022): 464-475. (2022). DOI: 10.4236/jct.2022.137041

Feng Yang, Juan Liu*, Qiang Zhang, Zhihui Yang and Xiaolei Zhang. CNN-based two-branch multi-scale feature extraction network for retrosynthesis prediction. BMC Bioinformatics, 23:362 (2022). DOI: 10.1186/s12859-022-04904-7

Peng Jiang, Juan Liu*, Di Xiao, Paochuan Pang, Zongjie Hao, Dehua Cao. A Novel IoMT System for Pathological Diagnosis based on Intelligent Mobile Scanner and Whole Slide Image Stitching Method. ICIC2022, LNAI 13395, pp. 463–472, 2022 (2022). DOI: 10.1007/978-3-031-13832-4_38

Hua Chen, Juan Liu*, Chunbing Hua, Jing Feng, Baochuan Pang, Dehua Cao and Cheng Li. Accurate classification of white blood cells by coupling pre‑trained ResNet and DenseNet with SCAM mechanism. BMC Bioinformatics 23:282 (2022). DOI: 10.1186/s12859-022-04824-6

Hayat Ali Shah, Juan Liu*, Zhihui Yang, Xiaolei Zhang, Jing Feng. DeepRF: A deep learning method for predicting metabolic pathways in organisms based on annotated genomes. Computers in Biology and Medicine, 147: 105756, Aug, 2022 (2022). DOI: 10.1016/j.compbiomed.2022.105756

Chang Hu . Lu Li . Weipeng Huang . Tong Wu . Qiancheng Xu. Juan Liu* . Bo Hu*. Interpretable Machine Learning for Early Prediction of Prognosis in Sepsis: A Discovery and Validation Study. Infectious Diseases and Therapy (2022). DOI: 10.1007/s40121-022-00628-6

Zi-Kang Chai, Liang Mao, Hua Chen, Ting-Guan Sun, Xue-Meng Shen, Juan Liu* and Zhi-Jun Sun*. Improved Diagnostic Accuracy of Ameloblastoma and Odontogenic Keratocyst on Cone-Beam CT by Artificial Intelligence. Frontiers in Oncology (2022). DOI: 10.3389/fonc.2021.793417

Jing Feng,Wenbo Chen,Xin Dong,Jun Wang,Xiangfei Mei,Jin Deng,Siqi Yang, Chenjian Zhuo,Xiaoyu Huang,Lin Shao,Rongyu Zhang,Jing Guo,Ronghui Ma,Juan Liu,Feng Li,Ying Wu,Leng Han,and Chunjiang He. CSCD2: an integrated interactional database of cancer-specific circular RNAs. Nucleic Acids Res. 2022 Jan 7;50(D1):D1179-D1183. (2022). DOI: 10.1093/nar/gkab830

Hua Chen, Juan Liu*, Chunbing Hua, Zhiqun Zuo, Jing Feng, Baochuan Pang, and Di Xiao. TransMixNet: An Attenion Based Double-Branch Model for White Blood Cell Classification and Its Training with the Fuzzified Training Data. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2021). DOI: 10.1109/BIBM52615.2021.9669587

Yaoran Chen, Yuanyuan Zhu*, Ming Zhong, and Juan Liu*. COMNA: Core-attachment based protein complex detection via multiple network alignment. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2021). DOI: 10.1109/BIBM52615.2021.9669342

Fangfang Zhu, Jiang Li, Juan Liu and Wenwen Min. Network-based cancer genomic data integration for pattern discovery. BMC Genomic Data (2021). DOI: 10.1186/s12863-021-01004-y

Hua Chen, Juan Liu*, Qing-Man Wen, Zhi-Qun Zuo, Jia-Sheng Liu, Jing Feng , Bao-Chuan Pang, and Di Xiao. CytoBrain: Cervical Cancer Screening System Based on Deep Learning Technology. Journal of Computer Science & Technology (2021). DOI: 10.1007/s11390-021-0849-3

Hayat Ali Shah, Juan Liu*, Zhihui Yang, Jing Feng. Review of Machine Learning Methods for the Prediction and Reconstruction of Metabolic Pathways. Frontiers in Molecular Biosciences (2021). DOI: 10.3389/fmolb.2021.634141

Wenwen Min, Juan Liu*, Shihua Zhang. Group-sparse SVD models and their applications in biological data. IEEE Transactions on Knowledge and Data Engineering(TKDE) (2021). DOI: 10.1109/tkde.2019.293206

陆林，张加尧,....刘娟.... 新型冠状病毒肺炎疫情防控期间智能医学专家共识. 中华实验外科杂志, 37( 2): 393-398 (2020). DOI: 10.3760/cma.j.issn.1001-9030.2020.02.058

夏建业, 田锡炜, 刘娟, 庄英萍. 人工智能时代的智能生物制造. 生物加工过程，18(1): 13-20 (2020). DOI: 10.3969/j.issn.1672-3678.2020.01.002

Zhihui Yang, Juan Liu*, Zeyu Wang, Yufan Wang, Jing Feng. Multi-Class Metabolic Pathway Prediction by Graph Attention-Based Deep Learning Method. 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2020). DOI: 10.1109/bibm49941.2020.9313298

Yaoran Chen, Yuanyuan Zhu*, Ming Zhong, Rong Peng, Juan Liu*. GPPIAL: A New Global PPI Network Aligner Based on Orthologs. 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2020). DOI: 10.1109/bibm49941.2020.9313552

Zhang Jian, Liu Juan*, Li Pei-Fang, Feng Jing. DAAT: A New Method to Train Convolutional Neural Network on Atrial Fibrillation Detection. Intelligent Computing Methodologies (2020). DOI: 10.1007/978-3-030-60796-8_24

Heling Bao, Hui Bi, Xiaosong Zhang, Yun Zhao, Yan Dong, Xiping Luo, Deping Zhou, Zhixue You, Yinglan Wu, Zhaoyang Liu, Yuping Zhang, Juan Liu, Liwen Fang, Linhong Wang. Artificial intelligence-assisted cytology for detection of cervical intraepithelial neoplasia or invasive cancer: A multicenter, clinical-based, observational study. Gynecologic Oncology (2020). DOI: 10.1016/j.ygyno.2020.07.099

Juan Liu*, Zhiqun Zuo, Guangsheng Wu. Link Prediction Only With Interaction Data and its Application on Drug Repositioning. IEEE Transactions on NanoBioscience (2020). DOI: 10.1109/tnb.2020.2990291

Jiasheng Liu, Juan Liu*, Yuqi Chen, Chunbing Hua, Zhuoyu Li, Zhiqun Zuo. A Robust Approach to Locate HER2 and CEN17 Signals in Varied FISH Images. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2019). DOI: 10.1109/bibm47256.2019.8983204

Guangsheng Wu, Juan Liu*. Predicting drug-disease treatment associations based on topological similarity and singular value decomposition. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2019). DOI: 10.1109/bibm47256.2019.8983205

Fangfang Zhu, Juan Liu, Wenwen Min. Gene Functional Module Discovery via Integrating Gene Expression and PPI Network Data. International Conference on Intelligent Computing (2019). DOI: 10.1007/978-3-030-26969-2_11

Guangsheng Wu, Juan Liu*, Xiang Yue. Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition. BMC Bioinformatics (2019). DOI: 10.1186/s12859-019-2644-5

Huifang Duan, Juan Liu*. Mitosis detection in breast tissue pathological images by combining additional features into the densenet. Journal of Wuhan University(Natural Science Edition) (2019). DOI: 10.14188/j.1671-8836.2019.05.003

Wenwen Min, Juan Liu*, Shihua Zhang*. Sparse Weighted Canonical Correlation Analysis. Chinese Journal of Electronics (2019). DOI: 10.1049/cje.2017.08.004

Wenwen Min, Juan Liu*, Shihua Zhang*. Edge-group sparse PCA for network-guided high dimensional data analysis. Bioinformatics (2018). DOI: 10.1093/bioinformatics/bty362

Yuanyuan Zhu*, Yuezhi Li, Juan Liu*, Lu Qin, Jeffrey Xu Yu. Discovering large conserved functional components in global network alignment by graph matching. BMC Genomics (2018). DOI: 10.1186/s12864-018-5027-9

郑群花,段慧芳,沈尧,刘娟*,袁静萍. 基于卷积神经网络和迁移学习的乳腺癌病理图像分类. 计算机应用与软件 (2018). DOI: CNKI:SUN:JYRJ.0.2018-07-044

王帅,刘娟*,毕姚姚,陈哲,郑群花,段慧芳. 基于两步聚类和随机森林的乳腺腺管自动识别方法. 计算机科学 (2018). DOI: CNKI:SUN:JSJA.0.2018-03-039

Guangsheng Wu, Juan Liu*, Wenwen Min. Prediction of drug-disease treatment relations based on positive and unlabeled samples. Journal of Intelligent & Fuzzy Systems (2018). DOI: 10.3233/JIFS-169679

Wenwen Min, Juan Liu*, Shihua Zhang*. Network-regularized sparse logistic regression models for clinical risk prediction and biomarker discovery. IEEE/ACM Transactions on Computational Biology and Bioinformatics (2018). DOI: 10.1109/TCBB.2016.2640303

Guangsheng Wu, Juan Liu*, Caihua Wang. Predicting drug-disease interactions by semi-supervised graph cut algorithm and three-layer data integration. BMC Medical Genomics (2017). DOI: 10.1186/s12920-017-0311-0

Yuanyuan Zhu*, Yuezhi Li, Juan Liu*, Lu Qin, Jeffrey Xu Yu. GMAlign: A new network aligner for revealing large conserved functional components. 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2017). DOI: 10.1109/BIBM.2017.8217636

Qianqian Shi, Chuanchao Zhang, Minrui Peng, Xiangtian Yu, Tao Zeng*, Juan Liu*, Luonan Chen*. Pattern fusion analysis by adaptive alignment of multiple heterogeneous omics data. Bioinformatics (2017). DOI: 10.1093/bioinformatics/btx176

Qianqian Shi, Chuanchao Zhang, Weifeng Guo, Tao Zeng, Lina Lu, Zhonglin Jiang, Ziming Wang, Juan Liu, Luonan Chen*. Local network component analysis for quantifying transcription factor activities. Methods (2017). DOI: 10.1016/j.ymeth.2017.06.018

蒋万伟, 刘娟*. 基于条件随机场的词结构分析方法. 武汉大学学报（理学版） (2017). DOI: 10.14188/j.1671-8836.2017.03.010

Caihua Wang, Juan Liu*, Wenwen Min, Aiping Qu. A novel sparse penalty for singular value decomposition. Chinese Journal of Electronics (2017). DOI: 10.1049/cje.2017.01.025

Jia-Mei Chen, Yan Li*, Jun Xu*, Lei Gong, Lin-Wei Wang, Wen-Lou Liu, Juan Liu. Computer-aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review. Tumor Biology (2017). DOI: 10.1177/1010428317694550

Weizhong Tu, Shaozhen Ding, Ling Wu, Zhe Deng, Hui Zhu, Xiaotong Xu, Chen Lin, Chaonan Ye, Minlu Han, Mengna Zhao, Juan Liu, Zixin Deng, Junni Chen, Dong-Qing Wei, Qian-Nan Hu*. SynBioEcoli: a comprehensive metabolism network of engineered E. coli in three dimensional visualization. Quantitative Biology (2017). DOI: 10.1007/s40484-017-0098-1

Chuanchao Zhang, Juan Liu*, Qianqian Shi, Tao Zeng*, Luonan Chen*. Comparative network stratification analysis for identifying functional interpretable network biomarkers. BMC Bioinformatics (2017). DOI: 10.1186/s12859-017-1462-x

Chuanchao Zhang, Juan Liu*, Qianqian Shi, Tao Zeng*, Luonan Chen*. Comparative network stratification analysis for identifying functional interpretable network biomarkers. BMC Bioinformatics (2017). DOI: 10.1186/s12859-017-1462-x

周炫余, 刘娟*, 卢笑, 邵鹏, 罗飞. 一种联合文本和图像信息的行人检测方法. 电子学报 (2017). DOI: CNKI:SUN:DZXU.0.2017-01-020

Chuanchao Zhang, Juan Liu*, Qianqian Shi, Tao Zeng*, Luonan Chen*. Differential function analysis: identifying structure and activation variations in dysregulated pathways. Science China Information Sciences (2017). DOI: 10.1007/s11432-016-0030-6

Caihua Wang, Juan Liu*, Fei Luo, Qian-Nan Hu*. Multi-fields model for predicting target–ligand interaction. Neurocomputing (2016). DOI: 10.1016/j.neucom.2016.03.079

Chuanchao Zhang, Jiguang Wang, Chao Zhang, Juan Liu*, Dong Xu*, Luonan Chen*. Network stratification analysis for identifying function-specific network layers. Molecular BioSystems (2016). DOI: 10.1039/C5MB00782H

Chuanchao Zhang, Juan Liu*, Qianqian Shi, Xiangtian Yu, Tao Zeng*, Luonan Chen*. Integration of multiple heterogeneous omics data. 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2016). DOI: 10.1109/BIBM.2016.7822582

Wenwen Min, Juan Liu*, Fei Luo, Shihua Zhang*. A two-stage method to identify joint modules from matched microRNA and mRNA expression data. IEEE Transactions on NanoBioscience (2016). DOI: 10.1109/TNB.2016.2556744

Guangsheng Wu, Juan Liu*, Caihua Wang. Semi-supervised graph cut algorithm for drug repositioning by integrating drug, disease and genomic associations. 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2016). DOI: 10.1109/BIBM.2016.7822522

Lin-Wei Wang, Ai-Ping Qu, Wen-Lou Liu, Jia-Mei Chen, Jing-Ping Yuan, Han Wu, Yan Li*, Juan Liu*. Quantum dots-based double imaging combined with organic dye imaging to establish an automatic computerized method for cancer Ki67 measurement. Scientific Reports (2016). DOI: 10.1038/srep20564

周炫余, 刘娟*, 邵鹏, 卢笑, 罗飞. 基于测度优化Laplacian SVM 的中文指代消解方法. 电子学报 (2016). DOI: 10.3969/j.issn.0372-2112.2016.12.035

Caihua Wang, Juan Liu*, Fei Luo, Zixing Deng, Qian-Nan Hu*. Predicting target-ligand interactions using protein ligand-binding site and ligand substructures. BMC Systems Biology (2015). DOI: 10.1186/1752-0509-9-S1-S2

AiPing Qu, JiaMei Chen, LinWei Wang, JingPing Yuan, Fang Yang, QingMing Xiang, Ninu Maskey, GuiFang Yang, Juan Liu*, Yan Li*. Segmentation of Hematoxylin-Eosin stained breast cancer histopathological images based on pixel-wise SVM classifier. Science China Information Sciences (2015). DOI: 10.1007/s11432-014-5277-3

Junfei Guo, Juan Liu*, Qi Han, Xianlong Chen, Yi Zhao. Domain mining for machine translation. Journal of Intelligent & Fuzzy Systems (2015). DOI: 10.3233/IFS-151981

Lida Zhu, Juan Liu*. Integration of a prognostic gene module with a drug sensitivity module to identify drugs that could be repurposed for breast Cancer therapy. Computers in Biology and Medicine (2015). DOI: 10.1016/j.compbiomed.2014.12.019

Ye Yang, Juan Liu*. JVM: Java Visual Mapping Tool for Next Generation Sequencing Read. Advances in Experimental Medicine and Biology (2015). DOI: 10.1007/978-94-017-9245-5_2

Wen-Lou Liu, Lin-Wei Wang, Jia-Mei Chen, Jing-Ping Yuan, Qing-Ming Xiang, Gui-Fang Yang, Ai-Ping Qu, Juan Liu, Yan Li*. Application of multispectral imaging in quantitative immunohistochemistry study of breast cancer: a comparative study. Tumor Biology (2015). DOI: 10.1007/s13277-015-4327-9

Weizhong Tu, Haoran Zhang, Juan Liu, Qian-Nan Hu*. BioSynther: A Customized Biosynthetic Potential Explorer. Bioinformatics (2015). DOI: 10.1093/bioinformatics/btv599

Jia-Mei Chen, Ai-Ping Qu, Lin-Wei Wang, Jing-Ping Yuan, Fang Yang, Qing-Ming Xiang, Ninu Maskey, Gui-Fang Yang, Juan Liu*, Yan Li*. New breast cancer prognostic factors identified by computer-aided image analysis of HE stained histopathology images. Scientific Reports (2015). DOI: 10.1038/srep10690

Shuhua Chen, Juan Liu*, TaoZeng. Measuring the quality of linear patterns in biclusters. Methods (2015). DOI: 10.1016/j.ymeth.2015.04.005

Jing Ping Yuan , Lin Wei Wang , Ai Ping Qu, Jia Mei Chen, Qing Ming Xiang, Chuang Chen, Sheng-Rong Sun, Dai-Wen Pang, Juan Liu, Yan Li*. Quantum Dots-Based Quantitative and In Situ Multiple Imaging on Ki67 and Cytokeratin to Improve Ki67 Assessment in Breast Cancer. PLoS ONE (2015). DOI: 10.1371/journal.pone.0122734

Guangjun Li, Xiaoqun Wu*, Juan Liu*, Jun-an Lu, Chi Guo. Recovering network topologies via Taylor expansion and compressive sensing. Chaos: An Interdisciplinary Journal of Nonlinear Science (2015). DOI: 10.1063/1.4916788

Juan Liu*, Wen Zhang. Databases for B-cell epitopes. In: De R., Tomar N. (eds) Immunoinformatics. Methods in Molecular Biology (Methods and Protocols) (2014). DOI: 10.1007/978-1-4939-1115-8_7

Qian-Nan Hu*, Z Deng, W Tu, X Yang, Z-B Meng, Z-X Deng, Juan Liu*. VNP: Interactive Visual Network Pharmacology of Diseases, Targets, and Drugs. CPT: Pharmacometrics & Systems Pharmacology (2014). DOI: 10.1038/psp.2014.1

Caihua Wang, Juan Liu*, Fei Luo, Yafang Tan, Zixin Deng, Qian-Nan Hu*. Pairwise input neural network for target-ligand interaction prediction. 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2014). DOI: 10.1109/BIBM.2014.6999129

Aiping Qu, Jiamei Chen, Linwei Wang, Jingping Yuan, Fang Yang, Qingming Xiang, Ninu Maskey, Guifang Yang, Juan Liu*, Yan Li*. Two-step segmentation of Hematoxylin-Eosin stained histopathological images for prognosis of breast cancer. 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2014). DOI: 10.1109/BIBM.2014.6999158

Xionghui Zhou, Juan Liu*. A computational model to predict bone metastasis in breast cancer by integrating the dysregulated pathways. BMC Cancer (2014). DOI: 10.1186/1471-2407-14-618

Xionghui Zhou, Juan Liu*. Construction and investigation of breast-cancer-specific ceRNA network based on the mRNA and miRNA expression data. IET Systems Biology (2014). DOI: 10.1049/iet-syb.2013.0025

Wei Wang, Juan Liu*, Xionghui Zhou. Identification of single-stranded and double-stranded DNA binding proteins based on protein structure. BMC Bioinformatics (2014). DOI: 10.1186/1471-2105-15-S12-S4

Wei Wang, Juan Liu*, Yi Xiong, Lida Zhu, Xionghui Zhou. Analysis and classification of DNA-binding sites in single-stranded and double-stranded DNA-binding proteins using protein information. IET Systems Biology (2014). DOI: 10.1049/iet-syb.2013.0048

Lida Zhu, Juan Liu*, Fengji Liang, Simon Rayner*, Jianghui Xiong*. Predicting Response to Preoperative Chemotherapy Agents by Identifying Drug Action on Modeled MicroRNA Regulation Networks. PLoS ONE (2014). DOI: 10.1371/journal.pone.0098140

Xionghui Zhou, Juan Liu*. Inferring Gene Dependency Network Specific to Phenotypic Alteration Based on Gene Expression Data and Clinical Information of Breast Cancer. PLoS ONE (2014). DOI: 10.1371/journal.pone.0092023

Junfei Guo, Juan Liu*, Qi Han, Andreas Maletti. A Tunable Language Model for Statistical Machine Translation. Proceedings of AMTA (2014). DOI:

Tao He, Juan Liu*. Product Name Recognition for Informal Text: Exploring Features. Applied Mechanics and Materials (2014). DOI: 10.4028/www.scientific.net/AMM.551.617

Tao He, Juan Liu*. Brand Classification using Distributed Representation. Advanced Materials Research (2014). DOI: 10.4028/www.scientific.net/amr.950.361

Aiping Qu, Juan Liu*. The convergence rate of a three-term HS method with restart strategy for unconstrained optimization problems. Optimization (2014). DOI: 10.1080/02331934.2012.717622

Aiping Qu, Min Li, Yue Xiao, Juan Liu*. A modified Polak–Ribi‘ere–Polyak descent method for unconstrained optimization. Optimization Methods and Software (2014). DOI: 10.1080/10556788.2012.755182

Junpeng Chen, Shuai Feng, Juan Liu*. Topic sense induction from social tags based on non-negative matrix factorization. Information Sciences (2014). DOI: 10.1016/j.ins.2014.04.048

Fang-Xiang Wu*, Lin Wu, Jianxin Wang, Juan Liu, Luonan Chen*. Transittability of complex networks and its applications to regulatory biomolecular networks. Scientific Reports (2014). DOI: 10.1038/srep04819

Tao Zeng, Chuan-chao Zhang, Wanwei Zhang, Rui Liu, Juan Liu*, Luonan Chen*. Deciphering early development of complex diseases by progressive module network. Methods (2014). DOI: 10.1016/j.ymeth.2014.01.021

Tao Zeng, Xuan Guo, Juan Liu*. Negative correlation based gene markers identification in integrative gene expression data. International Journal of Data Mining and Bioinformatics (2014). DOI: 10.1504/IJDMB.2014.062889

王伟, 刘娟*, 孟志斌. 基于时序遥感卫星云图的对流云团动态追踪预测. 电子学报 (2014). DOI: CNKI:SUN:DZXU.0.2014-04-028

Juan Liu*, Xinghuo Ye, Fang-Xiang Wu*. Characterizing dynamic regulatory programs in mouse lung development and their potential association with tumourigenesis via miRNA-TF-mRNA circuits. BMC Systems Biology (2013). DOI: 10.1186/1752-0509-7-S2-S11

Bolin Chen, Weiwei Fan, Juan Liu*, Fang-Xiang Wu*. Identifying protein complexes and functional modules–from static PPI networks to dynamic PPI networks. Briefings in Bioinformatics (2013). DOI: 10.1093/bib/bbt039

Fei Luo, Yangyang Gao, Yongqiong Zhu, Juan Liu*. Integrating peptides' sequence and energy of contact residues information improves prediction of peptide and HLA-I binding with unknown alleles. BMC Bioinformatics (2013). DOI: 10.1186/1471-2105-14-S8-S1

Lin-Wei Wang, Ai-Ping Qu, Jing-Ping Yuan, Chuang Chen, Sheng-Rong Sun, Ming-Bai Hu, Juan Liu*, Yan Li*. Computer-Based Image Studies on Tumor Nests Mathematical Features of Breast Cancer and Their Clinical Prognostic Value. PLoS ONE (2013). DOI: 10.1371/journal.pone.0082314

Wen Zhang*, Juan Liu, Yi Xiong, Meng Ke, Ke Zhang. Predicting immunogenic T-cell epitopes by combining various sequence-derived features. 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2013). DOI: 10.1109/BIBM.2013.6732451

Bo Guo, Juan Liu*. Real-Time Tracking with Online Constrained Compressive Learning. IEICE TRANSACTIONS on Information and Systems (2013). DOI: 10.1587/transinf.E96.D.988

Bo Guo, Juan Liu*. Real-time keypoint-based object tracking via online learning. 2013 IEEE Third International Conference on Information Science and Technology (ICIST) (2013). DOI: 10.1109/ICIST.2013.6747687

Junfe Guo, Juan Liu*, Michael Walsh, Helmut Schmid. Class-Based Language Models for Chinese-English Parallel Corpus. CICLing 2013: Computational Linguistics and Intelligent Text Processing (2013). DOI: 10.1007/978-3-642-37256-8_22

Wei Wang, Juan Liu*. Distinguishing single-stranded and double-stranded DNA binding proteins based on structural information. 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2013). DOI: 10.1109/BIBM.2013.6732568

Aiping Qu, Juan Liu*, Min Li. Rate of convergence of a restarted CG-DESCENT method. Numerical Functional Analysis and Optimization (2013). DOI: 10.1080/01630563.2012.760590

Aiping Qu, Juan Liu*, Min Li. A modified CG-DESCENT and DPR algorithm for unconstrained optimization. Pacific Journal of Optimization (2013). DOI: 10.1287/opre.2013.1181

Wen Zhang*, Yanqing Niu, Yi Xiong, Meng Zhao, Rongwei Yu, Juan Liu. Computational Prediction of Conformational B-Cell Epitopes from Antigen Primary Structures by Ensemble Learning. PLoS ONE (2012). DOI: 10.1371/journal.pone.0043575

Wen Zhang*, Juan Liu*, Meng Zhao, Qingjiao Li. Predicting linear B-cell epitopes by using sequence-derived structural and physicochemical features. International Journal of Data Mining and Bioinformatics (2012). DOI: 10.1504/IJDMB.2012.049298

Chao Dai, Wenyuan Li, Juan Liu, Xianghong Jasmine Zhou*. Integrating many co-splicing networks to reconstruct splicing regulatory modules. BMC Systems Biology (2012). DOI: 10.1186/1752-0509-6-S1-S17

Yi Xiong, Juan Liu*, Wen Zhang, Tao Zeng. Prediction of heme binding residues from protein sequences with integrative sequence profiles. Proteome Science (2012). DOI: 10.1186/1477-5956-10-S1-S20

Xian-gan Chen, Juan Liu*, Haihua Liu. Will scene information help realistic action recognition?. Proceedings of the 10th World Congress on Intelligent Control and Automation (2012). DOI: 10.1109/WCICA.2012.6359337

Bo Guo, Juan Liu*, Junpeng Chen. Iterative Appearance Learning with Online Multiple Instance Learning. ICONIP 2012: Neural Information Processing (2012). DOI: 10.1007/978-3-642-34500-5_36

Fei Luo, Yangyang Gao, Yongqiong Zhu, Juan Liu. Predicting Binding-Peptide of HLA-I on Unknown Alleles by Integrating Sequence Information and Energies of Contact Residues. ICIC 2012: Emerging Intelligent Computing Technology and Applications (2012). DOI: 10.1007/978-3-642-31837-5_23

Xinghuo Ye, Juan Liu*, Fang-Xiang Wu*. Dynamic miRNA-TF-mRNA circuits in mouse lung development. 2012 IEEE 6th International Conference on Systems Biology (ISB) (2012). DOI: 10.1109/ISB.2012.6314146

Xionghui Zhou, Juan Liu*, Jianghui Xiong. Predicting distant metastasis in breast cancer using ensemble classifier based on context-specific miRNA regulation modules. 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2012). DOI: 10.1109/BIBM.2012.6392717

Tao He, Juan Liu, Kai Li, Meini Yang. Automatically Extracting Chinese Aliases of Prohibited Items Based on Web Searching. In book: Practical Applications of Intelligent Systems (2012). DOI: 10.1007/978-3-642-25658-5_39

Ayad Abbas, Juan Liu. Designing an Intelligent Recommender System Using Partial Credit Model and Bayesian Rough Set. International Arab Journal of Information Technology (2012). DOI:

谌先敢, 刘娟*, 高智勇, 刘海华. 基于累积边缘图像的现实人体动作识别. 自动化学报 (2012). DOI: 10.3724/SP.J.1004.2012.01380

Shihua Zhang*, Qingjiao Li, Juan Liu, Xianghong Jasmine Zhou*. A novel computational framework for simultaneous integration of multiple types of genomic data to identify microRNA-gene regulatory modules. Bioinformatics (2011). DOI: 10.1093/bioinformatics/btr206

Wen Zhang*, Yi Xiong, Meng Zhao, Hua Zou, Xinghuo Ye, Juan Liu*. Prediction of conformational B-cell epitopes from 3D structure by random forests with a distant-based feature. BMC Bioinformatics (2011). DOI: 10.1186/1471-2105-12-341

Yi Xiong, Juan Liu*, Dong-Qing Wei*. An accurate feature-based method for identifying DNA-binding residues on protein surfaces. Proteins: Structure, Function, and Bioinformatics (2011). DOI: 10.1002/prot.22898

Junpeng Chen, Juan Liu*. Combining ConceptNet and WordNet for Word Sense Disambiguation. Proceedings of the 5th International Joint Conference on Natural Language Processing (2011). DOI: 10.1007/s10462-012-9331-5

Tao Zeng, Jinyan Li, Juan Liu*. Distinct interfacial biclique patterns between ssDNA‐binding proteins and those with dsDNAs. Proteins: Structure, Function, and Bioinformatics (2011). DOI: 10.1002/prot.22908

Xionghui Zhou, Juan Liu*, Changning Liu, Simon Rayner, Fengji Liang, Jingfang Ju, Yinghui Li, Shanguang Chen, Jianghui Xiong*. Context-specific miRNA regulation network predicts cancer prognosis. 2011 IEEE International Conference on Systems Biology (ISB) (2011). DOI: 10.1109/ISB.2011.6033159

Guoqiang Ma, Juan Liu*, Bin Ni. Probability of a unique crypto key generation based on finger's different images with two scanners. The First Asian Conference on Pattern Recognition (2011). DOI: 10.1109/ACPR.2011.6166527

Lida Zhu, Fengji Liang, Juan Liu*, Simon Rayner, Yinghui Li, Shanguang Chen, Jianghui Xiong*. Dynamic remodeling of context-specific miRNAs regulation networks facilitate in silico cancer drug screening. 2011 IEEE International Conference on Systems Biology (ISB) (2011). DOI: 10.1109/ISB.2011.6033168

Yi Xiong, Wen Zhang, Tao Zeng, Juan Liu*. Prediction of Heme Binding Sites in Heme Proteins Using an Integrative Sequence Profile Coupling Evolutionary Information with Physicochemical Properties. 2011 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2011). DOI: 10.1109/BIBM.2011.8

Tao He, Juan Liu*, Kai Li, Meini Yang. Automatically Extracting Chinese Aliases of Prohibited Items Based on Web Searching. Practical Applications of Intelligent Systems (2011). DOI: 10.1007/978-3-642-25658-5_39

Yi Xiong, Junfeng Xia, Wen Zhang, Juan Liu*. Exploiting a Reduced Set of Weighted Average Features to Improve Prediction of DNA-Binding Residues from 3D Structures. PLoS ONE (2011). DOI: 10.1371/journal.pone.0028440

Guoqiang Ma, Juan Liu*. Breed Genetic Algorithm and Application of Motion Blurred Image Restoration. Proceedings of 14th Youth Conference on Communication (2011). DOI: 10.3963/j.issn.1671-4431.2009.18.041

Chao Dai, Wenyuan Li, Juan Liu, Xianghong Jasmine Zhou*. Systematic reconstruction of splicing regulatory modules by integrating many RNA-seq datasets. 2011 IEEE International Conference on Systems Biology (ISB) (2011). DOI: 10.1109/ISB.2011.6033164

Guangjun Li*, Juan Liu. Rowing data analysis based on time series pattern. 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) (2011). DOI: 10.1109/FSKD.2011.6020020

Juan Liu*, Qing-Jiao Li, Wen Zhang. A novel locally linear embedding and wavelet transform based encoding method for prediction of MHC-II binding affinity. Interdisciplinary Sciences: Computational Life Sciences (2010). DOI: 10.1007/s12539-010-0075-0

Juan Liu*, Lian Wang, Shanfeng Zhu. SVR-PAIRWISE method to predict MHC-II binding peptides. International Journal of Bioinformatics Research and Applications (2010). DOI: 10.1504/IJBRA.2010.031292

Fei Luo*, Juan Liu, Jinyan Li*. Discovering conditional co-regulated protein complexes by integrating diverse data sources. BMC Systems Biology (2010). DOI: 10.1186/1752-0509-4-S2-S4

Jianghui Xiong* , Juan Liu* , Simon Rayner, Ze Tian, Yinghui Li, Shanguang Chen. Pre-Clinical Drug Prioritization via Prognosis-Guided Genetic Interaction Networks. PLoS ONE (2010). DOI: 10.1371/journal.pone.0013937

Jianghui Xiong*, Juan Liu*, Simon Rayner, Yinghui Li, Shanguang Chen. Protein-protein Interaction Reveals Synergistic Discrimination of Cancer Phenotype. Cancer informatics (2010). DOI: 10.4137/CIN.S3899

Guoqiang Ma, Juan Liu*. Fingerprint Image Segmentation Method Based on Gray Vision Parameter. Proceedings of the 2010 WASE International Conference on Information Engineering (2010). DOI: 10.1109/ICIE.2010.44

Guoqiang Ma, Juan Liu*, Zhaoyu Wei. The Portable Personal Health Records: Storage on SD Card and Network, Only for One's Childhood. International Conference on Electrical and Control Engineering (ICECE) (2010). DOI: 10.1109/iCECE.2010.1168

Wen Zhang*, Juan Liu*, Yanqing Niu. Quantitative prediction of MHC-II binding affinity using particle swarm optimization. Artificial intelligence in medicine (2010). DOI: 10.1109/ICCET.2010.5486025

Wen Zhang*, Juan Liu, Yanqing Niu, Qingjiao Li, Zijing Hui. Predicting cleavage sites in exogenous antigen using weighted SVM. 2010 2nd International Conference on Computer Engineering and Technology (2010). DOI: 10.1109/ICCET.2010.5486025

Tao Zeng, Xuan Guo, Juan Liu*. Discovering negative correlated gene sets from integrative gene expression data for cancer prognosis. 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2010). DOI: 10.1109/BIBM.2010.5706615

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