最新成果 | Publications

Papers in machine learning

  • Shuai Yuan, Yanan Sun, Weifeng He, Qianrong Gu, Shi Xu, Zhigang Mao, Shikui Tu. "MSLM-RF: A Spatial Feature Enhanced Random Forest for On-Board Hyperspectral Image Classification." IEEE Transactions on Geoscience and Remote Sensing (TGARS), vol. 60, pp. 1-17, 26 July 2022. (CCF-B期刊)
  • Wenjing Huang, Shikui Tu*, and Lei Xu*, "Box-FaceS: A Bidirectional Method for Box-Guided Face Component Editing." In Proceedings of the 30th ACM International Conference on Multimedia (MM2022), October 10–14, 2022, Lisboa, Portugal. (CCF-A会议)
  • Dengwei Zhao, Shikui Tu*, and Lei Xu*, "Efficient Learning for AlphaZero via Path Consistency". In Proceedings of the 39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, PMLR 162:26971-26981, 2022 (CCF-A会议)
  • 臧思聪, 涂仕奎*, 徐雷*. “IA-pix2seq:一个实现简笔画可控生成的深度双向学习方法”, 计算机学报, 2022
  • Peiying Li, Shikui Tu*, and Lei Xu*, “Deep Rival Penalized Competitive Learning for Low-resolution Face Recognition”, Neural Networks, vol. 148, pp. 183-193, April 2022, doi: 10.1016/j.neunet.2022.01.009. (CCF-B期刊)
  • Boheng Cao, Shikui Tu*, and Lei Xu*. “Flexible-CLmser: Regularized Feedback Connections for Biomedical Image Segmentation,” in 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 829-835, 9-12 Dec. 2021 (CCF-B会议)
  • Qingjie Sheng, Shikui Tu*, and Lei Xu*. "A Consistency Enhanced Deep Lmser Network for Face Sketch Synthesis." Pacific Rim International Conference on Artificial Intelligence. pp. 127-138, LNCS, vol. 13031, Springer, Cham, 25 October 2021
  • Sicong Zang, Shikui Tu*, and Lei Xu*, “Controllable stroke-based sketch synthesis from a self-organized latent space,” Neural Networks, vol. 137, pp. 138–150, May 2021, doi: 10.1016/j.neunet.2021.01.006. (CCF-B期刊)
  • Kaixuan Zhao, Shikui Tu*, and Lei Xu*, “IA-GM: A deep bidirectional learning method for graph matching,” in Proceedings of the 35th AAAI Conference on Artificial Intelligence, AAAI-21, 2021, Feb.02-09 (CCF-A会议)
  • Zhicheng Wang, Biwei Huang, Shikui Tu*, Kun Zhang, and Lei Xu*, “DeepTrader: A Deep Reinforcement Learning Approach to Risk-Return Balanced Portfolio Management with Market Conditions Embedding,” in Proceedings of the 35th AAAI Conference on Artificial Intelligence, AAAI-21, 2021, Feb.02-09 (CCF-A会议)
  • Zhihao Xing, Shikui Tu*, “A Graph Neural Network Assisted Monte Carlo Tree Search Approach to Traveling Salesman Problem,” IEEE Access, vol. 8, pp. 108418–108428, 2020
  • Wenjing Huang, Shikui Tu, and Lei Xu, “Deep CNN Based Lmser and Strengths of Two Built-In Dualities,” Neural Processing Letters, vol. 8, pp. 108418–108428, 2020
  • Lei Xu,Learning deep IA bidirectional intelligence. Frontiers Inf. Technol. Electron. Eng. 21(4): 558-562 (2020)
  • Peiying Li, Shikui Tu, and Lei Xu, "GAN Flexible Lmser for Super-resolution." In Proceedings of the 27th ACM International Conference on Multimedia (MM2019), pp. 756-764. ACM, 2019 (CCF-A会议)
  • Lei Xu,An overview and perspectives on bidirectional intelligence: Lmser duality, double IA harmony, and causal computation. IEEE CAA J. Autom. Sinica 6(4): 865-893 (2019)
  • Lei Xu,Deep IA-BI and Five Actions in Circling. IScIDE (1) 2019: 1-21
  • Zhiwen Qiang, Shikui Tu*, and Lei Xu*, “A k-Dense-UNet for Biomedical Image Segmentation,” in Intelligence Science and Big Data Engineering (IScIDE 2019), Cham, 2019, pp. 552–562, doi: 10.1007/978-3-030-36189-1_46.
  • Minchao Li, Shikui Tu*, and Lei Xu*, “Computational Decomposition of Style for Controllable and Enhanced Style Transfer,” in Intelligence Science and Big Data Engineering (IScIDE 2019). Cham, 2019, pp. 15–39, doi: 10.1007/978-3-030-36204-1_2.
  • Wenjing Huang, Shikui Tu*, and Lei Xu*, “Revisit Lmser from a Deep Learning Perspective,” in Intelligence Science and Big Data Engineering (IScIDE 2019), Cham, 2019, pp. 197–208, doi: 10.1007/978-3-030-36204-1_16.
  • Han-Chen Huang, Xianzi Wen, Shikui Tu, Jiafu Ji, Runsheng Chen, Lei Xu,An Enviro-Geno-Pheno State Analysis Framework for Biomarker Study. IScIDE 2018: 663-671
  • Minchao Li, Shikui Tu, Lei Xu,Computational Decomposition of Style for Controllable and Enhanced Style Transfer. CoRR abs/1811.08668 (2018)
  • Yajing Chen, Shikui Tu, Yuqi Yi, Lei Xu. "Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories." arXiv:1709.04121, 2017
  • Weijian Long, Shikui Tu, Lei Xu,A Comparative Study on Lagrange Ying-Yang Alternation Method in Gaussian Mixture-Based Clustering. IDEAL 2017: 489-499
  • Kai-Ming Jiang, Ya-Jing Chen, Jin-Xiong Lv, Bao-Liang Lu, Lei Xu,Bootstrapping integrative hypothesis test for identifying biomarkers that differentiates lung cancer and chronic obstructive pulmonary disease. Neurocomputing 269: 40-46 (2017)
  • Weijian Long, Shikui Tu, and Lei Xu, “A Comparative Study on Lagrange Ying-Yang Alternation Method in Gaussian Mixture-Based Clustering,” in Intelligent Data Engineering and Automated Learning – IDEAL 2017, pp. 489–499, 2017

Papers in bioinformatics, computational health

  • Wenjun Chen, Jordan S. Brown, Tao He, Wei-Sheng Wu, Shikui Tu, Zhiping Weng, Donglei Zhang, Heng-Chi Lee. "GLH/VASA helicases promote germ granule formation to ensure the fidelity of piRNA-mediated transcriptome surveillance. Nature Communications 13, 5306 (2022)
  • Rui Ma, Shikui Tu*, Peiying Li, Jiafeng Zhou, Bing Zhao, Jieqing Wan, and Lei Xu*. “Enriching computed tomography images by projection for robust automated cerebral aneurysm detection and segmentation,” in 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1026-1031, 9-12 Dec. 2021 (CCF-B会议)
  • Fucheng Deng, Shikui Tu*, and Lei Xu*. “Multi-source unsupervised domain adaptation for ECG classification,” in 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 854-859, 9-12 Dec. 2021 (CCF-B会议)
  • Haodong Nie, Shikui Tu*, and Lei Xu*. “RecSleepNet: An Automatic Sleep Staging Model Based on Feature Reconstruction,” in 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1458-1461, 9-12 Dec. 2021 (CCF-B会议)
  • Peng Zhang, Shikui Tu*. “DeepBSI: a multimodal deep learning framework for predicting the transcription factor binding site and intensity,” in 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 785-788, 9-12 Dec. 2021 (CCF-B会议)
  • Jinxiong Lv, Shikui Tu*, Lei Xu*. "Detection of Phenotype-related Mutations of COVID-19 via the Whole Genomic Data." IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 2021 Jan 8; PP. doi: 10.1109/TCBB.2021.3049836. (CCF-B期刊)
  • Qingsong Xie, Shikui Tu*, Guoxing Wang, Yong Lian, and Lei Xu*, “Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from Electrocardiogram,” in Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI-20, 2020, pp. 4403–4409 (CCF-A会议)
  • Jinxiong Lv, Shikui Tu, and Lei Xu, “Two-variate phenotype-targeted tests for detecting phenotypic biomarkers in cancers,” International Journal of Data Mining and Bioinformatics, IJDMB, 2020 Vol.24 No.1, pp.38-57
  • Jinxiong Lv, Shikui Tu, and Lei Xu, “A two-variate phenotype-targeted test for detection of phenotypic biomarkers on breast cancer,” in 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Nov. 2019, pp. 840–845 (CCF-B会议)
  • Qingsong Xie, Shikui Tu*, Guoxing Wang, Yonglian, and Lei Xu*, “Feature Enrichment Based Convolutional Neural Network for Heartbeat Classification from Electrocardiogram,” IEEE Access, vol. 7, pp. 153751-153760, 2019
  • Yongjie Wang, Lin Zeng, Chao Liang, Rui Zan, Weiping Ji, Zhichang Zhang, Yuxuan Wei, Shikui Tu*, and Yang Dong*. "Integrated analysis of transcriptome-wide m6A methylome of osteosarcoma stem cells enriched by chemotherapy." Epigenomics (2019) Oct. 25.
  • Gen Zhang#, Shikui Tu#, Tianxiong Yu, Xiao-Ou Zhang, Swapnil S. Parhad, Zhiping Weng, William E. Theurkauf. “Co-dependent Assembly of Drosophila piRNA Precursor Complexes and piRNA Cluster Heterochromatin,” Cell Reports, vol. 24, no. 13, pp. 3413–3422.e4, Sep. 2018. (#co-first author)
  • Gregory M Davis#, Shikui Tu#, Joshua WT Anderson#, Rhys N Colson, Menachem J Gunzburg, Michelle A Francisco, Debashish Ray, Sean P Shrubsole, Julia A Sobotka, Uri Seroussi, Robert X Lao, Tuhin Maity, Monica Z Wu, Katherine McJunkin, Quaid D Morris, Timothy R Hughes, Jacqueline A Wilce, Julie M Claycomb, Zhiping Weng, and Peter R Boag. "The TRIM-NHL protein NHL-2 is a co-factor in the nuclear and somatic RNAi pathways in C. elegans." eLife 2018; 7:e35478 (#co-first author)
  • Jin-Xiong Lv, and Shikui Tu*. "Integration of Data-Space and Statistics-Space Boundary-Based Test to Control the False Positive Rate." In International Conference on Intelligent Computing Methodologies (ICIC), D.-S. Huang, M.M. Gromiha, K. Han, and A. Hussain, eds. (Springer International Publishing), pp. 628–638, 2018
  • Enzhi Shen, Hao Chen, Ahmet R. Ozturk, Shikui Tu, Masaki Shirayama, Wen Tang, Yue-He Ding, Si-Yuan Dai, Zhiping Weng, and Craig C. Mello. "Identification of piRNA Binding Sites Reveals the Argonaute Regulatory Landscape of the C. elegans Germline." Cell 172(5), 937–951.e18, 22 February 2018
  • Donglei Zhang#, Shikui Tu#, Michael Stubna, Wei-Sheng Wu, Wei-Che Huang, Zhiping Weng, Heng-Chi Lee. "The rules for piRNA targeting reveal resistance of endogenous genes to piRNA silencing in C. elegans." Science, Vol. 359, Issue 6375, pp. 587-592, 2 February 2018 (#co-first author)
  • Yajing Chen, Shikui Tu, and Lei Xu. "The Prognostic Role of Genes with Skewed Expression Distribution in Lung Adenocarcinoma." In: Sun Y., Lu H., Zhang L., Yang J., Huang H. (eds) Intelligence Science and Big Data Engineering (IScIDE 2017). Lecture Notes in Computer Science, vol 10559. Springer
  • Yajing Chen, Shikui Tu, and Lei Xu. "Survival-Expression Map and Essential Forms of Survival-Expression Relations for Genes." In: Sun Y., Lu H., Zhang L., Yang J., Huang H. (eds) Intelligence Science and Big Data Engineering (IScIDE 2017). Lecture Notes in Computer Science, vol 10559. Springer, Cham
  • Jin-Xiong Lv, Han-Chen Huang, Runsheng Chen, Lei Xu,A comparison study on multivariate methods for joint-SNVs association analysis. BIBM 2016: 1771-1776
  • Jin-Xiong Lv, Shikui Tu, and Lei Xu. "A Comparative Study of Joint-SNVs Analysis Methods and Detection of Susceptibility Genes for Gastric Cancer in Korean Population." In: Sun Y., Lu H., Zhang L., Yang J., Huang H. (eds) Intelligence Science and Big Data Engineering (IScIDE 2017). Lecture Notes in Computer Science, vol 10559. Springer, Cham