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文杰,博士(后),湖北荆州市人,助理教授,硕士生导师,深圳市视觉目标检测与判识重点实验室副主任,中微半导-哈工大(深圳)人工智能芯片实验室主任,深圳市高层次人才。曾获评为“中国博士后创新人才支持计划”(#2019年)、深圳市优秀博士后(#2020年)及哈尔滨工业大学(深圳)首届优秀博士后(#2021年)。入选2022 & 2023 年斯坦福大学发布的全球前2%顶尖科学家榜单,IEEE/CCF Senior Member。 于2019年获得哈尔滨工业大学博士学位,博士学位论文获评为哈尔滨工业大学优秀博士学位论文。从事机器学习、数据挖掘、模式识别及计算机视觉的研究,在IEEE TCYB、IEEE TMM、IEEE TNNLS、IEEE TIP、IEEE TSMC-S、IEEE TCSVT、Information Fusion、Pattern Recognition等人工智能和模式识别领域国际顶级期刊和人工智能顶级会议CVPR、AAAI、IJCAI、ACM MM、ECCV上发表论文一百多篇。主持国家自然科学基金青年基金、中国博士后创新人才支持计划、博士后面上基金、广东省粤深青年基金及深圳市基础研究项目等多个项目。担任国际期刊《mathematics》和《International Journal of Image and Graphics》编委,担任包括IEEE TPAMI、TNNLS、TIP、TMM、NIPS、AAAI、IJCAI、CVPR、ICCV等三十多个国际期刊和会议审稿人,会议ACM MM(#2021、#2022)领域主席,会议ACAIT(#2021)广东省区域主席。一篇本人通讯的会议论文获得CCF A类会议AAAI 2023的Distinguished paper. 教育和工作经历 2021.04-至今 哈尔滨工业大学(深圳)计算机科学与技术学院 助理教授 2019.05-2021.04 哈尔滨工业大学(深圳)计算机科学与技术学院 博士后 2015.09-2019.04 哈尔滨工业大学计算机科学与技术专业 工学博士 2012.09-2015.03 哈尔滨工程大学检测技术与自动化专业 工学硕士 奖励与荣誉 CCF A类会议AAAI Distinguished paper(大会优秀论文)一篇 2021年获得深圳市高层次专业人才 2019年度中国博士后创新人才支持计划(哈工大计算机学科首次,19年全国计算机学科仅16人) 深圳市优秀博士后(哈工大(深圳)唯一一位,深圳市在站博后共10人),2020.12 哈尔滨工业大学(深圳)首届优秀博士后,2021.04 哈尔滨工业大学优秀博士学位论文,2020.7 “哈尔滨工业大学百年校庆”深圳校区百篇优秀研究生学位论文,2020.6 2018年度博士研究生国家奖学金 2014年度硕士研究生国家奖学金 2019届哈尔滨工业大学优秀毕业生 哈尔滨工业大学2019-2020年度五四表彰“抗疫志愿服务奖”,2020.5 第三届亚洲人工智能技术大会(ACAIT会议)最佳学生论文奖,2019.7 主持和参与科研项目 国家自然科学基金面上项目,2024-1-2027-12,主持 国家自然科学基金青年基金,2021.1-2023.12,主持,在研 深圳市高等院校稳定支持项目,2022-2025,主持,在研 中国人工智能学会-华为MindSpore学术奖励基金研究课题,2022-2023,主持,在研 深圳市优秀科技创新人才培养项目——博士基础研究启动项目,2022.4-2024.4,主持,在研 中微半导-哈工大深圳联合实验室项目,2021.7-2024.7,主持,在研 广东省区域联合基金青年基金,2020.1-2021.12,主持(已结题) 深圳市基础研究项目,2020.5-2023.5,主持(已结题) 博士后创新人才支持计划,2019.05-2021.04,主持(已结题) 中国博士后科学基金面上资助,2020.11-2021.04,主持(已结题) 海军十三五项目,2019.5-2020.12,副负责人 国家自然科学基金面上项目:图像目标检测的深度特征提取方案设计与实验, 2019.01-2022.12,参与

研究领域

机器学习、数据挖掘、模式识别、计算机视觉

近期论文

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期刊论文 Jie Wen, Yong Xu, Hong Liu, Incomplete Multiview Spectral Clustering with Adaptive Graph Learning. IEEE Transactions on Cybernetics, 2020, 50(4): 1418-1429. (中科院一区TOP期刊) Jie Wen, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu, Zhao Zhang, Jinxing Li, A Survey on Incomplete Multi-view Clustering, IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, 2022, accepted. 【code link 1】 【code link 2】 (中科院一区TOP期刊) Jie Wen, Zheng Zhang, Zhao Zhang, et al., Generalized Incomplete Multi-view Clustering With Flexible Locality Structure Diffusion, IEEE Transactions on Cybernetics, 2021. 51(1): 101-114. (中科院一区TOP期刊) Jie Wen, Na Han, et al., Low-rank Preserving Projection Via Graph Regularized Reconstruction. IEEE Transactions on Cybernetics, 2019, 49(4):1279-1291. (中科院一区TOP期刊) J. Wen, S. Deng, L. Fei, Z. Zhang, B. Zhang, Z. Zhang, Y. J. I. T. o. N. N. Xu, and L. Systems, “Discriminative Regression With Adaptive Graph Diffusion,” IEEE Transactions on Neural Networks and Learning Systems, 2022. S. Deng, J Wen*(通讯), et al. Projective incomplete multi-view clustering, IEEE Transactions on Neural Networks and Learning Systems, 2023. Jinrong Cui, Yulu Fu, Cheng Huang, Jie Wen, Low-Rank Graph Completion-Based Incomplete Multiview Clustering, IEEE Transactions on Neural Networks and Learning Systems, 2022. L Fei, S Zhao, W Jia, B Zhang, J Wen*, Y Xu, Toward efficient palmprint feature extraction by learning a single-layer convolution network, IEEE Transactions on Neural Networks and Learning Systems, 2022. C Huang, J Wen, Y Xu, Q Jiang, J Yang, Y Wang, D Zhang, Self-Supervised Attentive Generative Adversarial Networks for Video Anomaly Detection, IEEE Transactions on Neural Networks and Learning Systems, 2022. Z Fu, Y Zhao, D Chang, Y Wang, J Wen, Latent low-rank representation with weighted distance penalty for clustering, IEEE Transactions on Cybernetics, 2022. Jie Wen, Ke Yan, Zheng Zhang, et al., Adaptive Graph Completion Based Incomplete Multi-view Clustering. IEEE Transactions on Multimedia, 2020. DOI: 10.1109/TMM.2020.3013408 (中科院一区TOP期刊,多媒体领域顶刊) Jie Wen, Xiaozhao Fang, Jinrong Cui, Lunke Fei, et al., Robust Sparse Linear Discriminant Analysis. IEEE Transactions on Circuits and Systems for Video Technology, 2019, 29(2): 390-403. (中科院一区TOP期刊,ESI高被引论文) Jie Wen, Zuofeng Zhong, Zheng Zhang, Lunke Fei, et al., Adaptive Locality Preserving Regression. IEEE Transactions on Circuits and Systems for Video Technology, 2020, 30(1): 75–88. (中科院一区TOP期刊) Jie Wen, Bob Zhang, Yong Xu, et al., Adaptive Weighted Nonnegative Low-rank Representation. Pattern Recognition, 2018, 81: 326-340. (中科院一区TOP期刊) Jie Wen, Yong Xu, Zuoyong Li, et al., Inter-class Sparsity Based Discriminative Least Square Regression. Neural Networks, 2018, 102: 36-47. (ESI高被引论文) Jie Wen, Huijie Sun, Lunke Fei, et al., Consensus Guided Incomplete Multi-view Spectral Clustering, Neural Networks, 2021, 133, 207-219. Jie Wen, Xiaozhao Fang, Yong Xu, et al., Low-rank Representation With Adaptive Graph Regularization. Neural Networks, 2018, 108: 83-96. Zhongli Ma, Jie Wen (通讯作者), et al, An Effective Fusion Defogging Approach for Single Sea Fog Image. Neurocomputing, 2016, 173: 1257-1267. (中科院二区) Ke Yan, Jie Wen (共同一作), Yong Xu, et al., MLDH-Fold: Protein Fold Recognition Based on Multi-view Learning Low-rank Modeling, Neurocomputing, 2021,421: 127-139. (中科院二区) Na Han, Jigang Wu, Xiaozhao Fang, Jie Wen, Shanhua Zhan, et al., Transferable Linear Discriminant Analysis. IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(12): 5630-5638. (中科院一区TOP期刊) Lunke Fei, Bob Zhang, Yong Xu, Zhenhua Guo, Jie Wen, Wei Jia. Learning Discriminant Direction Binary Palmprint Descriptor. IEEE Transactions on Image Processing, 2019, 28(8): 3808-3820. (中科院一区TOP期刊,CCF A类推荐期刊) Ke Yan, Jie Wen, Yong Xu, et al., Protein Fold Recognition Based on Auto-Weighted Multi-view Graph Embedding Learning Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020. Doi: 10.1109/TCBB.2020.2991268 Ke Yan, Jie Wen, Jin-Xing Liu, et al. Protein fold recognition by combining support vector machines and pairwise sequence similarity scores. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020. Doi: 10.1109/TCBB.2020.2966450 Fei L, Zhang B, Jia W, Wen J, et al. Feature extraction for 3-D palmprint recognition: A survey[J]. IEEE Transactions on Instrumentation and Measurement, 2020, 69(3): 645-656. Zhan S, Wu J, Han N, Wen J, et al. Group low-rank representation-based discriminant linear regression[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2019, 30(3): 760-770. Fei L, Zhang B, Zhang L, Jia W, Wen J, Wu J. Learning compact multifeature codes for palmprint recognition from a single training image per palm[J]. IEEE Transactions on Multimedia, 2020. Wong W K, Han N, Fang X, Zhan S, Wen J. Clustering Structure-Induced Robust Multi-View Graph Recovery[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2019, 30(10): 3584-3597. Huang C, Yang Z, Wen J, et al. Self-Supervision-Augmented Deep Autoencoder for Unsupervised Visual Anomaly Detection[J]. IEEE Transactions on Cybernetics, 2021. Wu Z, Wen J, Xu Y, et al. Multiple Instance Detection Networks with Adaptive Instance Refinement[J]. IEEE Transactions on Multimedia, 2021. 会议论文 Chengliang Liu, Jie Wen*(Corresponding author), Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu, DICNet: Deep Instance-Level Contrastive Network for Double IncompleteMulti-View Multi-Label Classification, AAAI Conference on Artificial Intelligence, 2023. (CCF A, Distinguished paper) Shuping Zhao, Jie Wen (Co-first author), Lunke Fei, Bob Zhang, Tensorized Incomplete Multi-view Clustering with Intrinsic Graph Completion, AAAI Conference on Artificial Intelligence, 2023. (CCF A) Jie Wen, Zheng Zhang, Zhao Zhang, Lei Zhu, Lunke Fei, Bob Zhang, Yong Xu, Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring, AAAI Conference on Artificial Intelligence, 2021. (CCF A 人工智能顶会) Jie Wen, Zheng Zhang, Yong Xu, et al., Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering. AAAI Conference on Artificial Intelligence, 2019, 5393-5400. (CCF A 人工智能顶会) Jie Wen, Zheng Zhang, Yong Xu, et al., CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network. International Joint Conference on Artificial Intelligence, 2020, 3230-3236. (CCF A人工智能顶会) Jie Wen, Zheng Zhang, Zhao Zhang, et al., DIMC-net: Deep Incomplete Multi-view Clustering Network. ACM International Conference on Multimedia, 2020. DOI: 10.1145/3394171.3413807 (CCF A多媒体分析顶会) C. Huang, C. Liu, Z. Zhang, Z. Wu, J. Wen, Q. Jiang, Y. Xu, Pixel- Level Anomaly Detection via Uncertainty-aware Prototypical Transformer, in Proc. of The 30th ACM International Conference on Multimedia (ACM MM), 2022. (CCF A) C. Huang, Y. Liu, Z. Zhang, C. Liu, J. Wen, Y. Xu, Y. Wang, Hierarchical Graph Embedded Pose Regularity Learning via Spatio-Temporal Transformer for Abnormal Behavior Detection, in Proc. of The 30th ACM International Conference on Multimedia (ACM MM), 2022. (CCF A) Z Fu, Y Zhao, D Chang, Y Wang, J Wen, X Zhang, G Guo, One-step Low-Rank Representation for Clustering, in Proc. of The 30th ACM International Conference on Multimedia (ACM MM), 2022. (CCF A) J Wen, Z Wu, Z Zhang, L Fei, B Zhang, Y Xu, Structural Deep Incomplete Multi-view Clustering Network, The 30th ACM International Conference on Information and Knowledge Management (CIKM), 2021. (CCF B) Jie Wen, Zheng Zhang, Yong Xu, Zuofeng Zhong, Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization. European Conference on Computer Vision Workshops (ECCV workshops), 2018, 593-608. (ECCV是CCF B计算机视觉三大顶会之一) Jie Wen, Lunke Fei, Zhihui Lai, Zheng Zhang, et al., Adaptive Locality Preserving based Discriminative Regression. International Conference on Pattern Recognition (ICPR), 2018, 535-540. (CCF C,模式识别权威国际会议) Runze Chen, Jie Wen, Xiaoyue Chen, Yong Xu, Graph Embedded Incomplete Multi-view Clustering Method With Proximity Relation Estimation, Asian Conference on Artificial Intelligence Technology (ACAIT), 2020, 2020 (13): 647-652. (最佳学生论文奖) J Yin, C Liu, J Jiang, J Wen* (Corresponding author), L Yang, S Zhu, Normal Distribution Function on Descriptor Extraction, International Conference on Image and Graphics 2021. Lunke Fei, Jie Wen, Zheng Zhang, et al. Local multiple directional pattern of palmprint image. International Conference on Pattern Recognition (ICPR). IEEE, 2016: 3013-3018. (CCF C,模式识别权威国际会议) Qin J, Fei L, Zhu J, Wen J, et al. Scalable Discriminative Discrete Hashing For Large-Scale Cross-Modal Retrieval[C]//ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021: 4330-4334. (CCF B) Z Wu, C Liu, C Huang, J Wen, Y Xu, DEEP OBJECT DETECTION WITH EXAMPLE ATTRIBUTE BASED PREDICTION MODULATION, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022. (CCF B) Fei L, Qin J, Liu P, Wen J, et al. Jointly Learning Multiple Curvature Descriptor for 3D Palmprint Recognition[C]//2020 25th International Conference on Pattern Recognition (ICPR). IEEE, 2021: 302-308.(CCF C,模式识别权威国际会议) Sun L, Wen J, Wang J, et al. Classification of Mammography based on Semi-supervised Learning[C]//2020 IEEE International Conference on Progress in Informatics and Computing (PIC). IEEE, 2020: 104-111.

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