Representative Publications

 

 

2023

·       Peiying Li, Yongchang Liu, Jiafeng Zhou, Jieqing Wan, Yunjun Yang, Lei Xu, A deep-learning method for the end-to-end prediction of intracranial aneurysm rupture risk, Patterns (2023), Patterns 4, Cell press, May 12, 2023,https://doi.org/10.1016/j.patter.2023.100709

·      Yao Zhou, Ruidan Su, Shikui Tu and Lei Xu A Deep Temporal Factor Analysis Method for Large Scale Financial Portfolio Selection 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Paper Id: ICASSP2023-4350 (Accepted)

·      Weijing Huang, Shikui Tu*, and Lei Xu*. "IA-FaceS: A bidirectional method for semantic face editing." Neural Networks, 2023, 158: 272-292.

·      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2023年第46卷第3

·      Wenqi Guo, Lin Zhang, Shikui Tu, Lei Xu,"Self-Supervised Bidirectional Learning for Graph Matching", AAAI2023(Accepted)

·      Sicong Zang, Shikui Tu and Lei Xu,"Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation" AAAI2023(Accepted)

 

2022

·       Lin Zhang, Yangxin Zhu, Shikui Tu, Lei Xu, “A Feature Polymerized Based Two-Level Ensemble Model for Respiratory Sound Classification”, 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2022/10/13, pp238-242.

·      Wenjing Huang, Shikui Tu, Lei Xu, “Deep CNN based Lmser and strengths of two built-in dualities”, Neural Processing Letters, (4), 2022, pp3565-3581

·       盛庆杰, 苏锐丹, 涂仕奎, & 徐雷. 基于 Lmser-in-Lmser 双向网络的人脸素描图像生成方法. 模式识别与人工智能, 35(7), 589-601.

·      Xiangzhe Guo, Shikui Tu, Lei Xu, “Learning to Generate Textual Adversarial Examples”, Artificial Neural Networks and Machine Learning–ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part I, pp195-206

·      Ma, Q., Zeng, L., Tu, S., & Xu, L. (2022, December). Kernel Mean Matching with Mahalanobis Distance for Causal Inference of Time-to-event Outcome. In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 509-514). IEEE.

·      Hao Qian, Cheng Lin, Dengwei Zhao, Shikui Tu*, Lei Xu*. "AlphaDrug: Protein target specific de novo molecular generation." PNAS Nexus, 1(4), pgac227, 07 October 2022

·      Tianxiang Qin, Shikui Tu*, and Lei Xu*. "IA-NGM: A bidirectional learning method for neural graph matching with feature fusion." Machine Learning, November 01, 2022.  pp 1-27

·      Dengwei Zhao, Shikui Tu, Lei Xu, "Efficient Learning for AlphaZero via Path Consistency." Proceedings of the 39th International Conference on Machine Learning, PMLR 162:26971-26981, 2022.

·       Wenjing Huang, Shikui Tu, and Lei Xu. 2022. Box-FaceS: A Bidirectional Method for Box-Guided Face Component Editing. In Proceedings of the 30th ACM International Conference on Multimedia (MM '22), 2022/10/10, pp 6061-6071.

·      Peng Zhang, Shikui Tu*, Wen Zhang*, Lei Xu. "Predicting cell line-specific synergistic drug combinations through a relational graph convolutional network with attention mechanism." Briefings in Bioinformatics (BIB), vol. 23, issue 6, 22 Sep. 2022, bbac403

·      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

·      Lin Zeng, Haoran Ma, Long Xiang, Shikui Tu, Ying Wang, Liebin Zhao, and Lei Xu,"VentSR: A Self-Rectifying Deep Learning Method for Extubation Readiness Prediction" 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) pp. 1369-1374, Dec. 6, 2022

·      Peiying Li, Boheng Cao, Shikui Tu, and Lei Xu,"RecurPocket: Recurrent Lmser Network with Gating Mechanism for Protein Binding Site Detection" 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) pp. 334-339, Dec. 6, 2022

 

2021

·       Zhicheng Wang, Biwei Huang, Shikui Tu*, Kun Zhang*, Lei Xu*, DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, No. 1, pp. 643-650)

·       Kaixuan Zhao, Shikui Tu*, and Lei Xu*. IA-GM: A Deep Bidirectional Learning Method for Graph Matching. In Proceedings of the AAAI Conference on Artificial Intelligence(Vol. 35, No. 4, pp. 3474-3482).

·       Sicong Zang; Shikui Tu*, and Lei Xu*.  Controllable stroke-based sketch synthesis from a self-organized latent space. Neural Networks, 2021, 137: 138-150.

·      Xie, Q., Tu, S., Wang, G., Lian, Y., & Xu, L. (2021). Discrete biorthogonal wavelet transform based convolutional neural network for atrial fibrillation diagnosis from electrocardiogram. In Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence (pp. 4403-4409).

·      Sheng, Q., Tu, S., & Xu, L. (2021). A Consistency Enhanced Deep Lmser Network for Face Sketch Synthesis. In Pacific Rim International Conference on Artificial Intelligence (pp. 127-138). , November  2021, Springer, Cham.

·       Boheng Cao, Shikui Tu, and Lei Xu, Flexible-CLmser: Regularized Feedback Connections for Biomedical Image Segmentation, Regular Paper,  I2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, pp. 829-835, doi: 10.1109/BIBM52615.2021.9669446, Dec. 9-12, 2021

·      Fucheng Deng, Shikui Tu, and Lei Xu, Multi-source unsupervised domain adaptation for ECG classification, Regular Paper, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, pp. 854-859, doi: 10.1109/BIBM52615.2021.9669755, Dec. 9-12, 2021  

·      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, Regular Paper, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, pp. 1026-1031, doi: 10.1109/BIBM52615.2021.9669853, Dec. 9-12, 2021

·      Haodong Nie, Shikui Tu, Lei Xu, RecSleepNet: An Automatic Sleep Staging Model Based on Feature Reconstruction, Short Paper, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Dec. 9-12, 2021, pp. 1458-1461, doi: 10.1109/BIBM52615.2021.9669687

·       Jinxiong LV, Shikui Tu*, and Lei Xu*. Detection of Phenotype-related Mutations of COVID-19 via the Whole Genomic Data. IEEE/ACM transactions on computational biology and bioinformatics (Early Access), DOI: 10.1109/TCBB.2021.3049836, online: 08 January 2021

 

 

2020

 

·       Lei Xu: Learning deep IA bidirectional intelligence. Frontiers Inf. Technol. Electron. Eng. 21(4): 558-562 (2020)

·       Qingsong XieShikui Tu, Guoxing Wang, Yong Lian, Lei Xu:
Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from Electrocardiogram. IJCAI 2020: 4403-4409

·       Zhihao Xing, Shikui Tu, Lei Xu:
Solve Traveling Salesman Problem by Monte Carlo Tree Search and Deep Neural Network. CoRR abs/2005.06879 (2020)

·       K. Kuang, L. Li, Z. Geng, Lei. Xu, K. Zhang, B. Liao, H. Huang, P. Ding, W. Miao, Z.Jiang (2020), Causal Inference,  Engineering 2020 20(3): Pages 253-263

 

2019

·       Lei Xu (2019), Deep IA-BI and five actions in circling, In: Cui, Z., Pan, J., Zhang, S., Xiao, L., Yang, J. (Eds.),  Lecture Notes in Computer Science, Vol 11935, pp1-15. Springer.

·       Lei Xu (2019), “An overview and perspectives on bidirectional intelligence: Lmser duality, double IA harmony, and causal computation,” IEEE/CAA J. Automatic Sinica, vol. 6, no. 4, pp. 865–893, Jul. 2019.

·       Xie, Q., Tu, S., Wang, G., Lian, Y., & Xu, L. (2019). Feature enrichment based convolutional neural network for heartbeat classification from electrocardiogram. IEEE Access7, 153751-153760.

·       Li, P., Tu, S., & Lei Xu (2019),  GAN flexible Lmser for super-resolution, Proc. the 27th ACM International Conference on Multimedia (pp. 756-764). ACM.

·       Jin-Xiong Lv, Shikui Tu, & Lei Xu (2019),  A two-variate phenotype-targeted test for detection of phenotypic biomarkers on breast cancer’. In Bioinformatics and Biomedicine (BIBM), 2019 IEEE International Conference on (pp. 840-845),  Nov.18-21, 019, San Diego, CA

·       Z. Qiang,  X. Gao, S. Tu, and L. Xu (2019), “A k-Dense-UNet for Biomedical Image Segmentation”, In: Cui, Z., Pan, J., Zhang, S., Xiao, L., Yang, J. (Eds.),  Lecture Notes in Computer Science, Vol 11935, pp. 552-562, Springer.

·       Li, M., Tu, S., & Xu, L. (2019). “Computational Decomposition of Style for Controllable and Enhanced Style Transfer”, In: Cui, Z., Pan, J., Zhang, S., Xiao, L., Yang, J. (Eds.), Lecture Notes in Computer Science, Vol 11936, pp. 15-39 Springer.

·       W. Huang, S. Tu, and L. Xu, “Revisit Lmser from a deep learning perspective”, In: Cui, Z., Pan, J., Zhang, S., Xiao, L., Yang, J. (Eds.),  Lecture Notes in Computer Science, Vol 11936, pp. 197-208, Springer.

·       Huang, H. C., Wen, X. Z., Xue, H., Chen, R. S., Ji,J. F., & Xu, L. (2019). Phosphoglucose isomerase gene expression as a prognostic biomarker of gastric cancer. Chinese Journal of Cancer Research, 31(5), 771-+.

·       徐雷、吴飞、孙凌云涂仕奎、卢策吾2.2.3 综合推理与创意人工智能,《中国人工智能2.0发展战略研究》, 浙江大学出版社, 2019年出版。

 

2018

·      Lei Xu (2018), Machine learning and causal analyses for modelling financial and economic data, Springer Nature OA Journal, Applied Informatics, 2018, 5:11, 42 pages https://doi.org/10.1186/s40535-018-0058-5

·      Lei Xu (2018) “Deep bidirectional intelligence: AlphaZero, deep IA-search, deep IA-infer, and TPC causal learning”, Springer Nature Open Journal, Applied Informatics, 2018 5:5 38pages, https://doi.org/10.1186/s40535-018-0052-y

·      Huang, H. C., Wen, X. Z., Tu, S. K., Ji, J. F., Chen, R. S., & Xu, L. An enviro-geno-pheno state analysis framework for biomarker study. IScIDE 2018, LNCS 11266 (pp 663-671), Springer, 2018. https://link.springer.com/chapter/10.1007/978-3-030-02698-1_58

 

2017

·       Long, W., Tu, S., & Xu L.  (2017). A Comparative Study on Lagrange Ying-Yang Alternation Method in Gaussian Mixture-Based Clustering. Lecture Notes in Computer Science, IScIDE 2017, Vol 10585,pp. 489-499. Springer, Cham.

·      Chen Y., Tu S., Xu L. (2017) 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, pp. 641-649. Springer, Cham

·      Chen Y., Tu S., Xu L. (2017) 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, pp 631-640. Springer, Cham

·      Lv J., Tu S., Xu L. (2017) 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, pp. 619-630. Springer, Cham

·      Lv, J. X., Huang, H. C., Chen, R. S., & Xu, L. (2017). Comparative studies on multivariate tests for joint-SNVs analysis and detection for bipolar disorder susceptibility genes. International Journal of Data Mining and Bioinformatics17(4), 2017, pp341-358.

·      Jiang, K. M., Chen, Y. J., Lv, J. X., Lu, B. L., & Xu, L. (2017). Bootstrapping Integrative Hypothesis Test for Identifying Biomarkers that Differentiates Lung Cancer and Chronic Obstructive Pulmonary Disease. Neurocomputing, Elsevier B.V. , Volume 269,  2017, Pages 40-46.

·      徐雷. 人工智能第三次浪潮以及若干. 科学, 上海科学技出版社, 2017 31-5页。

·       H. C., Chen, Xu, L,  “Covariate-time Survival Profiling: A New Perspective for Survival Analysis”, Proc. of BIT’s 2nd International Congress of Genetics-2017,  April 25-27, 2017,  Xi'an, China, p116.

·       徐雷, 信息科学 “金三角” 的故事——纪念常迥先生和程民德先生百年诞辰. 科学, 上海科学技术出版社, 2017年 第155-56页。

 

 2016

·       Lv, J. X., Huang, H. C., Chen, R. S., & Xu, L. A comparison study on multivariate methods for joint-SNVs association analysis. In Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference on (pp. 1771-1776), 15-18 Dec. 2016, Shenzhen, China

·       L Xu,A New Multiple Testing Method for Discovering Cancer Biomarkers”,  Proc. of BIT's 9th International Symposium of Cancer Immunotherapy, Nov.16-18, 2016, Nanjing, China, p170.

·       L Xu,Enviro-geno-pheno state approach and state based biomarkers for differentiation, prognosis, subtypes, and staging”, SpringerOpen Journal, Applied Informatics 2016, 3:4  DOI: 10.1186/s40535-016-0020-3 

 

2015 

 

2014

 

 

2013

 

2012

 

2011

 

2010

 

2009

 

2008

·       Qing Shi GaoXiao Yu Gao, Lei Xu:
A Probability Theory Perspective on the Zadeh Fuzzy System. Data Mining: Foundations and Practice 2008: 125-137

 

2007

 

2006

 

        An, Y.J., Hu, X.L.,  and Lei Xu (2006), ``A Comparative Investigation on Model Selection in Independent Factor Analysis" Journal of Mathematical Modeling and Algorithms 5,   pp.447–473.

        Zhi-Yong Liu, Hong Qiao, and Lei Xu, (2006), `` Multisets mixture learning-based ellipse detection ", Pattern Recognition 39, pp731-735, 2006.

 

 

2005

 

 

2004

 

 

2003

 

 

2002

 

·       Chuangyin Dang, Lei Xu:
A Lagrange Multiplier and Hopfield-Type Barrier Function Method for the Traveling Salesman Problem.Neural Comput. 14(2): 303-324 (2002)

 

2001

 

 

2000

 

 

1999

 

 

1998

 

 

1997

 

 

1996

 

 

1995

 

 

1994

 

 

1993

 

 

1992

 

 

1991

 

1990

 

 

1989