路建伟 LU JIANWEI 研究员、博士生导师
实验室网页： http://www.tj-ilab.cn 邮箱： jwlu33@gmail.com

研究方向：1. 智能视觉机器人
2. 大数据挖掘
3. 医学图像处理


导师简介
1997年自清华大学毕业。1999年赴新加坡国立大学从事技术开发研究。2000年赴美国洛杉矶的南加州大学(University of Southern California)，并于2006年先后获得计算机科学硕士学位与计算视觉博士学位。之后进入美国纽约从事科研工作，担任计算视觉科学家。其代表性研发工作获得包括美国最大报纸《华尔街日报》等十余家美国主流媒体报道。2009年起在纽约飞康软件上市公司担任高级工程师。2012年起担任同济大学研究员、博士生导师，承担与参与多项科技部重大项目，包括：科技部973重大科学研究计划课题组长；科技部863项目课题骨干；科技部重大国际合作项目课题骨干。主要研究方向为智能视觉机器人和大数据挖掘。
实验室欢迎有兴趣的学生报考博士生与硕士生并加入实验室，欢迎对相关研究有兴趣的本科生加入实验室进行课题研究。实验室对研究生与本科生的培养优势：具有广泛的研究方向可自由选择，有国际领先的教授团队直接培养，研究方向均为本领域的国际前沿，提供无相关学术基础的学生由浅入深的学术培训，辅助学生毕业后的良好就业、提供毕业后去美国深造渠道。目前实验室在智能视觉机器人、计算机视觉、互联网数据挖掘、视频监控等方向拟招收多名学生从事相应课题研究，并提供科研补贴。实验室并与微软，甲骨文等公司达成了学生创新创业培养合作，学生在读期间可直接选择这些公司的高管作为校外导师进行创新创业项目研发。有兴趣加入实验室、报考实验室研究生或博士生请联系路建伟老师，email：jwlu33@hotmail.com，或jwlu33@126.com。
部分论文简介
Lu J*, Lu Y*, Ding Y*, Xiao Q, Liu L, Cai Q, Kong Y, Bai Y， Yu T, DNLC: Differential Network Local Consistency Analysis. in BMC Bioinfomatics. (Accepted, SCI )第一作者
Guokai Zhang, Xiaoang Shen, Sirui Chen, Lipeng Liang, Ye Luo*, Jie Yu*, and Jianwei Lu*, “DSM: A Deep Supervised Multi-scale Network Learning for Skin Cancer Segmentation”, in IEEE Access, 2019, Vol.7(1), pages 140936-140945. (SCI)通讯作者
Guokai Zhang, Weigang Wang, Dinghao Yang, Jihao Luo, Pengcheng He, Yongtong Wang, Ye Luo*, Binghui Zhao*, and Jianwei Lu*, “A Bi-Attention Adversarial Network for Prostate Cancer Segmentation”, in IEEE Access, 2019, Vol.7(1), pages 131448-131458. (SCI)通讯作者
Defang Zhao, Dandan Zhu, J. Lu*, Ye Luo*, Guokai Zhang, "Synthetic Medical Images Using F&BGAN for Improved Lung Nodules Classification by Multi-Scale VGG16," in Symmetry, Vol. 10(10), pp. 519:1-16, 2018.(SCI)通讯作者
Ke Chen, Dandan Zhu, J. Lu*, Ye Luo*, "An Adversarial and Densely Dilated Network for Connectomes Segmentation, " in Symmetry, Vol. 10(10), pp. 467:1-18, 2018.(SCI)通讯作者
Dandan Zhu, Lei Dai, Ye Luo*, Guokai Zhang, Xuan Shao, Laurent Itti, J. Lu*, "Multi-Scale Adversarial Feature Learning for Saliency Detection, " in Symmetry, Vol. 10(10), pp. 457:1-14, 2018.(SCI)通讯作者
Guokai Zhang, Xiao Liu, Dandan Zhu, Pengcheng He, Lipeng Liang, Ye Luo*, J. Lu*, "3D Spatial Pyramid Dilated Network for Pulmonary Nodule Classification, " in Symmetry, Vol. 10(9), pp. 376:1-16, 2018.(SCI)通讯作者
Dandan Zhu,Ye Luo*,Lei Dai,Xuan Shao, Qiangqiang Zhou, Laurent Itti, J. Lu*, "Salient Object Detection via a Local and Global Method based onDeep Residual Network,"inJournalof Visual Communicationand Image Representation (JVCI), Vol. 54, pp. 1-9, 2018.(SCI, IF: 2.164)通讯作者
D. Zhu, L. Dai, X. Shao, Q. Zhou, L. Itti, J. Lu and Y. Luo, Salient Object Detection via a Local and Global Method based on Deep Residual Network, Journal of Visual Communication and Image Representation, accepted, SCI
L. Cheng, P. Yao, J. Lu*, K. Hao* and Z. Zhang*, A Dynamic Pooling Approach to Extract Complete Allele Signal Information in Somatic Copy Number Alternations Detection, ICBCB 2018, EI 通讯作者
P. Yao, L. Cheng, J. Lu*, K. Hao* and Z. Zhang*, A Computational Framework to Simultaneously Quantify DNA methylation, Somatic Copy Number Alternation and DNA Heterogeneity from Low Coverage Plasma Circulating DNA sequencing, ICBCB, 2018, EI, 通讯作者
D. Zhu, Y. Luo, X. Shao, L. Itti, J. Lu*. Saliency Prediction Based on New Deep Multi-layer Convolution Neural Network. IEEE International Conference on Image Processing (ICIP), 2017.(EI, CCF-C) 通讯作者
D. Zhu, Y. Luo*, L. Dai, X. Shao, L. Itti, J. Lu. Deep Salient Object Detection via Hierarchical Network Learning. International Conference on Neural Information Processing (ICONIP), 2017. (EI, CCF-C)
D. Zhu, Y. Luo*, L. Dai, X. Shao, Q. Zhou, L. Itti, J. Lu*. Image Salient Object Detection with Refined Deep Features via Convolution Neural Network. Journal of Electronic Imaging (JEI), accept with minor revision, 2017. (SCI) 通讯作者
L. Ou, Z. Chen, J. Lu, Y. Luo*. Regularizing CNN via Feature Augmentation. In: International Conference on Neural Information Processing (ICONIP), 2017. (EI, CCF-C)
X. Shao, Y. Luo*, D. Zhu, S. Li, L. Itti, J. Lu. Scanpath Prediction Based on High-level Features and Memory Bias. International Conference on Neural Information Processing (ICONIP), 2017. (EI, CCF-C)
X. Liu, Y. Luo, Y. Ye, and J. Lu*. MC-DCNN: Dilated Convolutional Neural Network for Computing Stereo Matching Cost. International Conference on Neural Information Processing (ICONIP), 2017. (EI, CCF-C) 通讯作者
Y. Xu, Y. Luo, Y. Li, G, Zhang, J. Lu*. A Hybrid Model: DGnet-SVM for the Classification of Pulmonary Nodules. International Conference on Neural Information Processing (ICONIP), 2017. (EI, CCF-C) 通讯作者
Y. Yan，S. Qiu，Z. Jin，S. Gong，Y. Bai*，J. Lu*，T. Yu*，Detecting subnetwork-level dynamic correlations, Bioinformatics, 2017,33(2):256-266 (SCI/IF:5.7)，通讯作者
H. Liu，P. Li，M. Zhu，X. Wang，J. Lu*，T. Yu*，Nonlinear Network Reconstruction from Gene Expression Data Using Marginal Dependencies Measured by DCOL，PLoS One, 2016, 11(7):e**，(SCI/IF:3.2)，通讯作者
L. Liu，Y. Lu，Y. Luo*，R. Zhang*，L. Itti，J. Lu*，Detecting "Smart" Spammers On Social Network: A Topic Model Approach，NAACL-HLT2016:10.18653，(EI/CCF-C类会议)，通讯作者
X. Yang*，H. Ding， J. Lu*，Feedback from Visual Cortical Area 7 to Areas 17 and 18 in Cats, Neuroscience，2016，Vol312:190-200，（SCI/IF:3.3），通讯作者
X.Ge, X.Liu, F.Lin, P.Li, K.Liu, R.Geng, C.Dai, Y.Lin, W. Tang, Z.Wu, J.Chang, J. Lu*, J. Li*, MicroRNA-421 regulated by HIF-1α promotes metastasis, inhibits apoptosis, and induces cisplatin resistance by targeting E-cadherin and caspase-3 in gastric cancer, Oncotarget, 2016, 7(17):24466-82, (SCI/IF:6.3), 通讯作者
K. Wang，Q. Zhao，J. Lu*，T. Yu*，K-Profiles: A Nonlinear Clustering Method for Pattern Detection in High Dimensional Data, Biomed Research International，2015，2015:918954，(SCI/IF:2.3)，通讯作者
H. Peng， J. Ma， Y. Bai*，J. Lu*，T. Yu*，MeDiA: Mean Distance Association and its Applications in Nonlinear Gene Set Analysis，PLoS One，2015，10(4):e**，(SCI/IF:3.2)，通讯作者
X. Yang，B. Gong，J. Lu*，Dominant Frequency Might Act As Possible Communication Signal Between Retina and V1，International Journal of Ophthalmology, 2015, Vol.8, No.6:1107-1111，(SCI/IF:0.9)，通讯作者
G. Xiao, G. Xu, X. Liu, J. Xu, F. Wang, L. Li, L. Itti and J. Lu, Feature-based attention is independent of object appearance, Journal of Vision, Vol. 14, No. 1, pp.1-11, Jan 2014
K. Wang, Q. Zhao, J. Lu*, T. Yu*, K-profiles nonlinear clustering, Biomed Research International （accepted）
Narzo, H. Cheng, J. Lu*, K. Hao*, Meta-eQTL: a tool set for flexible eQTL meta-analysis, BMC Bioinformatics (accepted)
Lin Zhang, Zhixuan Ding, Hongyu Li, Ying Shen, and Jianwei Lu, 3D face recognition based on multiple keypoint descriptors and sparse representation, PLoS One, vol. 9, no. 6, pp. e100120:1-9, 2014
Xueyabo Liu, Lin Zhang*, Hongyu Li, and Jianwei Lu, Integrating visual saliency information into objective quality assessment of tone-mapped images, in: Proc. ICIC, pp. 376-386, 2014/li>
J. Lu, L. Itti, Perceptual consequences of feature-based attention, Journal of Vision, Vol. 5, No. 7, pp. 622-631, Aug 2005.
A. Arditi, J. Lu, Accessible web browser interface design for users with low vision, Proceedings of the Human Factors and Ergonomics Society 2008, Sep. 2008
GB Xiao, GT Xu and J. Lu, iBrowse: Software for Low Vision to Access Internet, Proceedings of International Conference on BioMedical Engineering and Informatics 2010, Oct. 2010
YL Ma, XJ Pan, GB Xiao, S. Yang, J. Lu , GT Xu, CSCB: China stem cell bank information management system - An intelligent system for managing china stem cell bank and standard quality control, Proceedings of Second WRI Global Congress on Intelligent Systems, Dec. 2010.