• 其他栏目

    邵杰

    • 教授 博士生导师
    • 性别：男
    • 毕业院校：昆士兰大学
    • 学历：博士研究生毕业
    • 学位：工学博士学位
    • 在职信息：在岗
    • 所在单位：计算机科学与工程学院（网络空间安全学院）
    • 学科：计算机科学与技术
    • 办公地点：主楼B1-204（清水河校区）
    • 电子邮箱：

    访问量：

    开通时间：..

    最后更新时间：..

    个人简介

    邵杰是四川省特聘专家，四川省人工智能研究院（宜宾）常务副院长。在人工智能的多媒体、大数据等方向发表高水平学术论文百余篇并编辑出版论文集4本。在DASFAA 2012国际会议上获最佳论文奖，在PCM 2017国际会议上获最佳论文提名奖。主持和承担国家自然科学基金面上项目、重点项目，科技部科技创新2030—新一代人工智能重大项目，四川省重点研发项目、新一代人工智能重大科技专项，以及腾讯、华为、铁道科学研究院等企业委托开发项目。曾任International Journal of Systems and Service-Oriented Engineering、Pattern Recognition Letters和World Wide Web Journal客座编辑，以及重要国际会议如ACM KDD、ACM MM、IEEE ICDE、IEEE CVPR、IEEE ICCV、IJCAI、AAAI和ACL等的程序委员会委员，2019年担任中国计算机学会大数据领域推荐国际会议APWeb-WAIM的程序委员会主席。获2021年四川省科技进步二等奖。 所指导的多名研究生获得四川省优秀毕业生称号，1人入选华为“天才少年”。所指导的4名在读研究生获批四川省科技创新创业苗子工程项目重点项目, 2研究生入选腾讯犀牛鸟精英人才培养计划，2名研究生入选获得之江实验室国际青年人才基金。


    近五年代表性期刊论文
  • Feiyu Chen, Jie Shao, Anjie Zhu, Deqiang Ouyang, Xueliang Liu, and Heng Tao Shen, "Modelling Hierarchical Uncertainty for Multimodal Emotion Recognition in Conversation", IEEE Transactions on Cybnetics (TCYB), 2022.
  • Shuang Liang, Anjie Zhu, Jiasheng Zhang, and Jie Shao, "Hyper-node Relational Graph Attention Network for Multi-modal Knowledge Graph Completion", ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 2022.
  • Anjie Zhu, Feiyu Chen, Hui Xu, Deqiang Ouyang, and Jie Shao, "Empowering the Diversity and Individuality of Option: Residual Soft Option Critic Framework", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.
  • Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, and Bin Cui, "DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.
  • Xiaoyang Tian, Jie Shao, Deqiang Ouyang, and Heng Tao Shen, "UAV-Satellite View Synthesis for Cross-view Geo-Localization", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 32(7): 4804-4815, 2022.
  • Jipeng Zhang, Jie Shao, Rui Cao, Lianli Gao, Xing Xu, and Heng Tao Shen, "Action-Centric Relation Transformer Network for Video Question Answering", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 32(1): 63-74, 2022.
  • Xin Man, Deqiang Ouyang, Xiangpeng Li, Jingkuan Song, and Jie Shao, "Scenario-Aware Recurrent Transformer for Goal-Directed Video Captioning", ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 18(4): Article 104, 17 pages, 2022.
  • Anjie Zhu, Deqiang Ouyang, Shuang Liang, and Jie Shao, "Step by Step: A Hierarchical Framework for Multi-hop Knowledge Graph Reasoning with Reinforcement Learning", Knowledge-based Systems (KBS), 248: 108843, 2022.
  • Jiasheng Zhang, Shuang Liang, Yongpan Sheng, and Jie Shao, "Temporal Knowledge Graph Representation Learning with Local and Global Evolutions", Knowledge-based Systems (KBS), 251: 109234, 2022.
  • Dongyang Zhang, Jie Shao, Zhenwen Liang, Xueliang Liu, and Heng Tao Shen, "Multi-branch Networks for Video Super-Resolution with Dynamic Reconstruction Strategy", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 31(10): 3954-3966, 2021.
  • Feiyu Chen, Jie Shao, Yonghui Zhang, Xing Xu, and Heng Tao Shen, "Interclass-Relativity-Adaptive Metric Learning for Cross-Modal Matching and Beyond", IEEE Transactions on Multimedia (TMM), 23: 3073-3084, 2021.
  • Dongyang Zhang, Jie Shao, Zhenwen Liang, Lianli Gao, and Heng Tao Shen, "Large Factor Image Super-Resolution with Cascaded Convolutional Neural Networks", IEEE Transactions on Multimedia (TMM), 23: 2172-2184, 2021.
  • Dongyang Zhang, Jie Shao, Xinyao Li, and Heng Tao Shen, "Remote Sensing Image Super-Resolution via Mixed High-Order Attention Network", IEEE Transactions on Geoscience and Remote Sensing (TGRS), 59(6): 5183-5196, 2021.
  • Waqar Ali, Rajesh Kumar, Zhiyi Deng, Yansong Wang, and Jie Shao, "A Federated Learning Approach for Privacy Protection in Context-aware Recommender Systems", The Computer Journal, 64(7): 1016–1027, 2021.
  • Hui Xu, Jiaxing Wang, Hao Li, Deqiang Ouyang, and Jie Shao, "Unsupervised Meta-learning for Few-shot Learning", Pattern Recognition (PR), 116: 107951, 2021.
  • Lianli Gao, Daiyuan Chen, Zhou Zhao, Jie Shao, and Heng Tao Shen, "Lightweight Dynamic Conditional GAN with Pyramid Attention for Text-to-Image Synthesis", Pattern Recognition (PR), 110: 107384, 2021.
  • Deqiang Ouyang, Jie Shao, Haijun Jiang, Shiping Wen, and Sing Kiong Nguang, "Finite-time Stability of Coupled Impulsive Neural Networks with Time-varying Delays", Neurocomputing, 453: 590-598, 2021.
  • Xing Xu, Jialin Tian, Kaiyi Lin, Huimin Lu, and Jie Shao, and Heng Tao Shen, "Zero-Shot Cross-Modal Retrieval by Assembling AutoEncoder and Generative Adversarial Network", ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 17(1s): Article 3, 17 pages, 2021.
  • Heng Tao Shen, Xiaofeng Zhu, Zheng Zhang, Shui-Hua Wang, Yi Chen, Xing Xu, and Jie Shao, "Heterogenous Data Fusion for Predicting Mild Cognitive Impairment Conversion", Information Fusion (IF), 66: 54-63, 2021.
  • Dongyang Zhang, Jie Shao, and Heng Tao Shen, "Kernel Attention Network for Single Image Super-Resolution", ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 16(3): Article 90, 15 pages, 2020.
  • Deqiang Ouyang, Jie Shao, Haijun Jiang, Sing Kiong Nguang, and Heng Tao Shen, "Impulsive Synchronization of Coupled Delayed Neural Networks with Actuator Saturation and Its Application to Image Encryption", Neural Networks (NN), 128: 158-171, 2020.
  • Chengkun He, Jie Shao, Jiasheng Zhang, and Xiangmin Zhou, "Clustering-based Multiple Instance Learning with Multi-view Feature", Expert Systems with Applications (ESWA), 162: 113027, 2020.
  • Zhenwen Liang, Jie Shao, Dongyang Zhang, and Lianli Gao, "Traffic Sign Detection and Recognition based on Pyramidal Convolutional Networks", Neural Computing and Applications (NCAA), 32(11): 6533-6543, 2020.
  • Deqiang Ouyang, Jie Shao, and Cheng Hu, "Stability Property of Impulsive Inertial Neural Networks with Unbounded Time Delay and Saturating Actuators", Neural Computing and Applications (NCAA), 32(11): 6571-6580, 2020.
  • Dongyang Zhang, Zhenwen Liang, and Jie Shao, "Joint Image Deblurring and Super-resolution with Attention Dual Supervised Network", Neurocomputing, 412: 187-196, 2020.
  • Zuohua Song, Keyu Wu, and Jie Shao, "Destination Prediction Using Deep Echo State Network", Neurocomputing, 406: 343-353, 2020.
  • Lianli Gao, Liangfu Cao, Xing Xu, Jie Shao, and Jingkuan Song, "Question-Led Object Attention for Visual Question Answering", Neurocomputing, 391: 227-233, 2020.
  • Lianli Gao, Yiyue Zhang, Fuhao Zou, Jie Shao, and Junyu Lai, "Unsupervised Urban Scene Segmentation via Domain Adaptation", Neurocomputing, 406: 295-301, 2020.
  • Jie Shao, Gang Hu, Jingkuan Song, Xueliang Liu, and Heng Tao Shen, "Towards Accurate Georeferenced Video Search with Camera Field of View Modeling", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 29(6): 1844-1855, 2019.
  • Yan Dai, Jie Shao, Gang Hu, and Long Guo, "A Resource-aware Approach for Authenticating Privacy Preserving GNN Queries", World Wide Web Journal (WWWJ), 22(2): 437-454, 2019.
  • Gang Hu, Jie Shao, Zhiyang Ni, and Dongxiang Zhang, "A Graph Based Method for Constructing Popular Routes with Check-ins", World Wide Web Journal (WWWJ), 21(6): 1689-1703, 2018.
  • Yan Dai, Jie Shao, Chengbo Wei, Dongxiang Zhang, and Heng Tao Shen, "Personalized Semantic Trajectory Privacy Preservation through Trajectory Reconstruction", World Wide Web Journal (WWWJ), 21(4): 875-914, 2018.
  • Huimin Wu, Jie Shao, Xing Xu, Yanli Ji, Fumin Shen, and Heng Tao Shen, "Recognition and Detection of Two-person Interactive Actions Using Automatically Selected Skeleton Features", IEEE Transactions on Human-Machine Systems (THMS), 48(3): 304-310, 2018.
  • Dongxiang Zhang, Yuchen Li, Xin Cao, Jie Shao, and Heng Tao Shen, "Augmented Keyword Search on Spatial Entity Databases", The VLDB Journal, 27(2): 225-244, 2018.
  • Gang Hu, Jie Shao, Fenglin Liu, Yuan Wang, and Heng Tao Shen, "IF-Matching: Towards Accurate Map-Matching with Information Fusion", IEEE Transactions on Knowledge and Data Engineering (TKDE), 29(1): 114-127, 2017.
  • Dongxiang Zhang, Long Guo, Liqiang Nie, Jie Shao, Sai Wu, and Heng Tao Shen, "Targeted Advertising in Public Transportation Systems with Quantitative Evaluation", ACM Transactions on Information Systems (TOIS), 35(3): Article 20, 29 pages, 2017.
  • Chengkun He, Jie Shao, Xing Xu, Deqiang Ouyang, and Lianli Gao, "Exploiting Score Distribution for Heterogenous Feature Fusion in Image Classfication", Neurocomputing, 253: 70-76, 2017.

    • 近五年代表性会议论文
  • Feiyu Chen, Junjie Wang, Yinwei Wei, Hai-Tao Zheng, and Jie Shao, "Breaking Isolation: Multimodal Graph Fusion for Multimedia Recommendation by Edge-wise Modulation", In Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), October 10-14 2022, Lisbon, Portugal.
  • Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, and Bin Cui, "DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion (Extended Abstract)", In Proceedings of the 38th IEEE International Conference on Data Engineering (ICDE), pages 1499-1500, May 9-12 2022, Kuala Lumpur, Malaysia.
  • Yan Zhang, Changyu Li, Ivor Tsang, Hui Xu, Lixin Duan, Hongzhi Yin, Wen Li, and Jie Shao, "Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations", In Proceedings of the 38th IEEE International Conference on Data Engineering (ICDE), pages 2942-2955, May 9-12 2022, Kuala Lumpur, Malaysia.
  • Zhiyi Deng, Changyu Li, Shujin Liu, Waqar Ali, and Jie Shao, "Knowledge-Aware Group Representation Learning for Group Recommendation", In Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE), pages 1571-1582, April 19-23 2021, Chania, Greece.
  • Feiyu Chen, Zhengxiao Sun, Deqiang Ouyang, Xueliang Liu, and Jie Shao, "Learning What and When to Drop: Adaptive Multimodal and Contextual Dynamics for Emotion Recognition in Conversation", In Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), pages 1064-1073, October 20-24 2021, Chengdu, China.
  • Dongyang Zhang, Changyu Li, Ning Xie, Guoqing Wang, and Jie Shao, "PFFN: Progressive Feature Fusion Network for Lightweight Image Super-Resolution", In Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), pages 3682-3690, October 20-24 2021, Chengdu, China.
  • Sitong Su, Lianli Gao, Junchen Zhu, Jie Shao, and Jingkuan Song, "Fully Functional Image Manipulation Using Scene Graphs in A Bounding-Box Free Way", In Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), pages 1784-1792, October 20-24 2021, Chengdu, China.
  • Jingran Zhang, Xing Xu, Fumin Shen, Yazhou Yao, Jie Shao, and Xiaofeng Zhu "Video Representation Learning with Graph Contrastive Augmentation", In Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), pages 3043-3051, October 20-24 2021, Chengdu, China.
  • Chuanyi Zhang, Yazhou Yao, Xing Xu, Jie Shao, Jingkuan Song, Zichao Li, and Zhenmin Tang, "Extracting Useful Knowledge form Noisy Web Images via Data Purification for Fine-Grained Recognition", In Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), pages 4063-4072, October 20-24 2021, Chengdu, China.
  • Hui Xu, Chong Zhang, Jiaxing Wang, Deqiang Ouyang, Yu Zheng, and Jie Shao, "Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning", In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI), pages 3153-3159, July 11-17 2020, Yokohama, Japan.
  • Jipeng Zhang, Roy Ka-Wei Lee, Ee-peng Lim, Wei Qin, Lei Wang, Jie Shao, and Qianru Sun, "Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem", In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI), pages 4011-4017, July 11-17 2020, Yokohama, Japan.
  • Jipeng Zhang, Lei Wang, Roy Ka-Wei Lee, Yi Bin, Yan Wang, Jie Shao, and Ee-Peng Lim, "Graph-to-Tree Learning for Solving Math Word Problems", In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), pages 3928-3937, July 5-10 2020, Seattle, WA, USA.
  • Wei Wang, Sheng Wang, Jinyang Gao, Meihui Zhang, Gang Chen, Teck Khim Ng, Beng Chin Ooi, Jie Shao, and Moaz Reyad, "Rafiki: Machine Learning as an Analytics Service System", In Proceedings of the 33rd International Conference on Very Large Data Bases (VLDB), pages 128-140, August 26-30 2019, Los Angeles, CA, USA.
  • Deqiang Ouyang, Jie Shao, Yonghui Zhang, Yang Yang, and Heng Tao Shen, "Video-based Person Re-identification via Self-Paced Learning and Deep Reinforcement Learning Framework", In Proceedings of the 26th ACM International Conference on Multimedia (ACM MM), pages 1562-1570, October 22-26 2018, Seoul, Korea.
  • Dongxiang Zhang, Long Guo, Xiangnan He, Jie Shao, Sai Wu, and Heng Tao Shen, "A Graph-Theoretic Fusion Framework for Unsupervised Entity Resolution", In Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE), pages 713-724, April 16-19 2018, Paris, France.
  • Gang Hu, Jie Shao, Dongxiang Zhang, Yang Yang, and Heng Tao Shen, "Preserving-Ignoring Transformation based Index for Approximate k Nearest Neighbor Search", In Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE), pages 91-94, April 19-22 2017, San Diego, CA, USA.
  • Gang Hu, Jie Shao, Fenglin Liu, Yuan Wang, and Heng Tao Shen, "IF-Matching: Towards Accurate Map-Matching with Information Fusion (Extended Abstract)", In Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE), pages 9-10, April 19-22 2017, San Diego, CA, USA.
  • Gang Hu, Jie Shao, Fumin Shen, Zi Huang, and Heng Tao Shen, "Unifying Multi-Source Social Media Data for Personalized Travel Route Planning", In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pages 893-896, August 7-11 2017, Tokyo, Japan.
  • Huimin Wu, Jie Shao, Xing Xu, Fumin Shen, and Heng Tao Shen, "A System for Spatiotemporal Anomaly Localization in Surveillance Videos", In Proceedings of the 25th ACM International Conference on Multimedia (ACM MM), pages 1225-1226, October 23-27 2017, Mountain View, CA USA.
  • Lianli Gao, Peng Wang, Jingkuan Song, Zi Huang, Jie Shao, and Heng Tao Shen, "Event Video Mashup: from Hundreds of Videos to Minutes of Skeleton", In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), pages 1223-1330, February 4-9 2017, San Francisco, CA, USA.

    • 其他联系方式

    Telphone :

    Mobile :

    邮箱 :

    教育经历

    2000.9 -- 2004.6
    东南大学       计算机科学与技术       大学本科毕业       工学学士学位

    2005.5 -- 2009.1
    昆士兰大学       计算机科学       博士研究生毕业       工学博士学位

    工作经历

    2014.5 -- 至今

    电子科技大学计算机科学与工程学院      特聘教授

    2012.6 -- 2014.5

    新加坡国立大学计算机学院      研究员(Research Fellow)

    2011.8 -- 2012.5

    昆士兰大学信息技术与电气工程学院      研究员(Research Fellow)

    2008.11 -- 2011.7

    墨尔本大学计算机科学与软件工程系      研究员(Research Fellow)

    2004.8 -- 2005.5

    中国民生银行南京分行科技开发部      软件开发岗

    研究方向

  • 多媒体，大数据，人工智能


    • 清水河校区：成都市高新区（西区）西源大道2006号　邮编： 611731  
    沙河校区：成都市建设北路二段四号　邮编：610054
    蜀ICP备 05006379 号   I　川公网安备 51019002000280 号
  • 电子科技大学