计算机科学与工程学院


 
导师代码: 11789
导师姓名: 邵杰
性    别:
特    称:
职    称: 教授
学    位: 工学博士学位
属    性: 专职
电子邮件: shaojie @ uestc.edu.cn

学术经历:   教育经历:2004年6月,获东南大学工学学士学位。2009年1月,获澳大利亚昆士兰大学计算机科学博士学位。研究工作经历:2008年11月-2014年5月,在澳大利亚墨尔本大学、昆士兰大学和新加坡国立大学任研究员(Research Fellow),从事科研和教学工作。2014年6月入选电子科技大学“百人计划”回国工作,任计算机科学与工程学院教授、博士生导师。

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。 更多信息,详见个人主页:http://cfm.uestc.edu.cn/~shaojie/

科研项目:  
  • 社会化媒体中的移动轨迹语义增强和挖掘推荐研究,国家自然科学基金面上项目(批准号:61672133),2017-2020,主持
  • 移动交互环境下的大媒体内容分析与检索,国家自然科学基金重点项目(批准号:61632007),2017-2021,主研
  • 新型数据管理系统,国家自然科学基金重点项目(批准号:61832001),2019-2023,合作单位负责人
  • 地空协作的重大灾害监测搜救平台主动认知技术研究,科技部科技创新2030-“新一代人工智能”重大项目(批准号:2018AAA0102200),2019-2023,参与
  • 四川新一代人工智能产业应用关键技术研发及示范,四川省科技厅重点研发项目(批准号:2019YFG0535),2019-2021,主持
  • 轨迹数据的管理挖掘及面向社交媒体的应用,中央高校基本科研业务费基础研究项目(批准号:ZYGX2015J058),2016-2017,主持
  • 情境感知的移动视频检索关键技术和应用,中央高校基本科研业务费重点培育项目(批准号:ZYGX2014Z007),2015-2017,主研

  • 研究成果:   期刊论文
  • 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), 2021.
  • Waqar Ali, Jay Kumar, and Jie Shao, "Inferring Context with Reliable Collaborators: A Novel Similarity Estimation Method for Recommender Systems", Applied Intelligence (APIN), 2021.
  • 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.
  • Abdullah Aman Khan and Jie Shao, "SPNet: A Deep Network for Broadcast Sports Video Highlight Generation", Computers and Electrical Engineering (CAEE), 99: 107779, 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.
  • Wen Zhang, Yonghui Zhang, Yanjun She, and Jie Shao, "Stereo Feature Enhancement and Temporal Information Extraction Network for Automatic Music Transcription", IEEE Signal Processing Letters (SPL), 28: 1500-1504, 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.
  • Gang Hu, Yi Qin, and Jie Shao, "Personalized Travel Route Recommendation from Multi-source Social Media Data", Multimedia Tools and Applications (MTAP), 79(45-46): 33365–33380, 2020.
  • Abdullah Aman Khan, Jie Shao, Waqar Ali, and Saifullah Tumrani, "Content-aware Summarization of Broadcast Sports Videos: An Audio-Visual Feature Extraction Approach", Neural Processing Letters (NPL), 52(3): 1945-1968, 2020.
  • Saifullah Tumrani, Zhiyi Deng, Haoyang Lin, and Jie Shao, "Partial Attention and Multi-attribute Learning for Vehicle Re-identification", Pattern Recognition Letters (PRL), 138: 290-297, 2020.
  • Jie Chen, Jie Shao, and Chengkun He, "Movie Fill in the Blank by Joint Learning from Video and Text with Adaptive Temporal Attention", Pattern Recognition Letters (PRL), 132: 62-68, 2020.
  • Waqar Ali, Salah Ud Din, Abdullah Aman Khan, Saifullah Tumrani, Xiaochen Wang, and Jie Shao, "Context-Aware Collaborative Filtering Framework for Rating Prediction Based on Novel Similarity Estimation", Computers, Materials & Continua (CMC), 63(2): 1065-1078, 2020.
  • Jie Li, Xing Xu, Lianli Gao, Zheng Wang, and Jie Shao, "Cognitive Visual Anomaly Detection with Constrained Latent Representations for Industrial Inspection Robot", Applied Soft Computing (ASC), 95: 106539, 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.
  • Jiayu Sun, Jie Shao, and Chengkun He, "Abnormal Event Detection for Video Surveillance Using Deep One-class Learning", Multimedia Tools and Applications (MTAP), 78(3): 3633-3647, 2019.
  • Deqiang Ouyang, Yonghui Zhang, and Jie Shao, "Video-based Person Re-identification via Spatio-temporal Attentional and Two-stream Fusion Convolutional Networks", Pattern Recognition Letters (PRL), 117: 153-160, 2019.
  • Chengkun He, Jie Shao, and Jiayu Sun, "An Anomaly-introduced Learning Method for Abnormal Event Detection", Multimedia Tools and Applications (MTAP), 77(22): 29573-29588, 2018.
  • 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.
  • Jiayu Sun, Xinzhou Wang, Naoxue Xiong, and Jie Shao, "Learning Sparse Representation with Variational Auto-Encoder for Anomaly Detection", IEEE Access, 6(1): 33353-33361, 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.
  • Xiangpeng Li, Lianli Gao, Xing Xu, Jie Shao, Fumin Shen, and Jingkuan Song, "Kernel based Latent Semantic Sparse Hashing for Large-scale Retrieval from Heterogeneous Data Sources", Neurocomputing, 253: 89-86, 2017.
  • Lianli Gao, Jingkuan Song, Xingyi Liu, Junming Shao, Jiajun Liu, and Jie Shao, "Learning in High-dimensional Multimedia Data: The-State-of-the-art", Multimedia Systems, 23(3): 303-313, 2017.
  • Shengsheng Qian, Tianzhu Zhang, Changsheng Xu, and Jie Shao, "Multi-modal Event Topic Model for Social Event Analysis", IEEE Transactions on Multimedia (TMM), 18(2): 233-246, 2016.
  • Fumin Shen, Yang Yang, Xiang Zhou, Xianglong Liu, and Jie Shao, "Face Identification with Second-order Pooling in Single-layer Networks", Neurocomputing, 187: 11-18, 2016.
  • Fuhao Zou, Yu Liu, Hua Wang, Jingkuan Song, Jie Shao, Ke Zhou, and Sheng Zheng, "Multi-view Multi-label Learning for Image Annotation", Multimedia Tools and Applications (MTAP), 75(20): 12627-12644, 2016.
  • Long Guo, Jie Shao, Htoo Htet Aung, and Kian-Lee Tan, "Efficient Continuous Top-k Spatial Keyword Queries on Road Networks", Geoinformatica, 19(1): 29-60, 2015.
  • Litao Yu, Jie Shao, Xin-Shun Xu, and Heng Tao Shen, "Max-Margin Adaptive Model for Complex Video Pattern Recognition", Multimedia Tools and Applications (MTAP), 74(2): 505-521, 2015.
  • Sarana Nutanong, Egemen Tanin, Jie Shao, Rui Zhang, and Kotagiri Ramamohanarao, "Continuous Detour Queries in Spatial Networks", IEEE Transactions on Knowledge and Data Engineering (TKDE), 24(7): 1501-1515, 2012.
  • Jie Shao, Heng Tao Shen, Zi Huang, and Xiaofang Zhou, "Exploring Distributional Discrepancy for Multidimensional Point Set Retrieval", IEEE Transactions on Multimedia (TMM), 13(1): 71-81, 2011.
  • Alex Hindle, Jie Shao, Dan Lin, Jiaheng Lu, and Rui Zhang, "Clustering Web Video Search Results based on Integration of Multiple Features", World Wide Web Journal (WWWJ), 14(1): 53-73, 2011.
  • Zi Huang, Heng Tao Shen, Jie Shao, Bin Cui, and Xiaofang Zhou, "Practical Online Near-duplicate Subsequence Detection for Continuous Video Streams", IEEE Transactions on Multimedia (TMM), 12(5): 386-398, 2010.
  • Zi Huang, Heng Tao Shen, Jie Shao, Xiaofang Zhou, and Bin Cui, "Bounded Coordinate System Indexing for Real-time Video Clip Search", ACM Transactions on Information Systems (TOIS), 27(3): Article 17, 33 pages, 2009.
  • Heng Tao Shen, Jie Shao, Zi Huang, and Xiaofang Zhou, "Effective and Efficient Query Processing for Video Subsequence Identification", IEEE Transactions on Knowledge and Data Engineering (TKDE), 21(3): 321-334, 2009.
  • Jie Shao, Zi Huang, Heng Tao Shen, Xiaofang Zhou, Ee-Peng Lim, and Yijun Li, "Batch Nearest Neighbour Search for Video Retrieval", IEEE Transactions on Multimedia (TMM), 10(3): 409-420, 2008.
  • 会议论文
  • 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), 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), May 9-12 2022, Kuala Lumpur, Malaysia.
  • Xiaoyang Tian, Jie Shao, Deqiang Ouyang, Anjie Zhu, and Feiyu Chen, "SMDT: Cross-View Geo-Localization with Image Alignment and Transformer", In Proceedings of the 2022 IEEE International Conference on Multimedia and Expo (ICME), July 18-22 2022, Taipei, Taiwan.
  • 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.
  • Jiasheng Zhang, Shuang Liang, Zhiyi Deng, and Jie Shao, "Spatial-Temporal Attention Network for Temporal Knowledge Graph Completion", In Proceedings of the 26th International Conference on Database Systems for Advanced Applications (DASFAA), pages 207-223, April 11-14 2021, Taipei, Taiwan.
  • Wen Zhang and Jie Shao, "Multi-Attention Audio-Visual Fusion Network for Audio Spatialization", In Proceedings of the 11th ACM International Conference on Multimedia Retrieval (ICMR), pages 394-401, August 21-24 2021, Taipei, Taiwan.
  • Kuntao Cao, Xi Huang, and Jie Shao, "Aggregation Architecture and All-to-One Network for Real-time Semantic Segmentation", In Proceedings of the 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 2330-2334, June 6-11 2021, Toronto, Canada.
  • Peng Zhang, Deqiang Ouyang, Chunlin Jiang, and Jie Shao, "Language Person Search with Pair-based Weighting Loss", In Proceedings of the 27th International Conference on Multimedia Modeling (MMM), pages 227-239, June 22-24 2021, Prague, Czech Republic.
  • Shujin Liu, Derong Chen, and Jie Shao, "ADA: Adaptive Depth Attention Model for Click-Through Rate Prediction", In Proceedings of the 2021 International Joint Conference on Neural Network (IJCNN), July 18-22 2021, Shenzhen, China.
  • Xi Huang, Chengkun He, and Jie Shao, "Attention-guided Progressive Partition Network for Human Parsing", In Proceedings of the 2021 International Joint Conference on Neural Network (IJCNN), July 18-22 2021, Shenzhen, China.
  • Jianbo Liu, Zhiqiang Hu, Jiasheng Zhang, Roy Ka-Wei Lee, and Jie Shao, "A Syntax-Aware Encoder for Authorship Attribution", In Proceedings of the 22nd International Conference on Web Information Systems Engineering (WISE), pages 403-411, October 26-29 2021, Melbourne, Australia.
  • Changyu Li, Dongyang Zhang, Chunlin Jiang, Ning Xie, and Jie Shao, "Learning Multi-dimensional Parallax Prior for Stereo Image Super-Resolution", In Proceedings of the 28th International Conference on Neural Information Processing (ICONIP), pages 718-727, December 8-12 2021, Bali, Indonesia.
  • Changyu Li, Dongyang Zhang, Ning Xie, and Jie Shao, "Efficient Spatio-Temporal Network with Gated Fusion for Video Super-Resolution", In Proceedings of the 30th International Conference on Artificial Neural Networks (ICANN), pages 640-651, September 14-17 2021, Bratislava, Slovakia.
  • Xiaochen Wang, Tingsong Xiao, and Jie Shao, "EMRM: Enhanced Multi-source Review-based Model for Rating Prediction", In Proceedings of the 14th International Conference on Knowledge Science, Engineering and Management (KSEM), pages 487-499, August 14-16 2021, Tokyo, Japan.
  • Peng Zhang, Deqiang Ouyang, Feiyu Chen, and Jie Shao, "Multiplicative Angular Margin Loss for Text-Based Person Search", In Proceedings of the 2nd ACM International Conference on Multimedia in Asia (MM Asia), March 7-9 2021, Singapore.
  • Abdullah Aman Khan, Saifullah Tumrani, Chunlin Jiang, and Jie Shao, "RICAPS: Residual Inception and Cascaded Capsule Network for Broadcast Sports Video Classification", In Proceedings of the 2nd ACM International Conference on Multimedia in Asia (MM Asia), March 7-9 2021, Singapore.
  • 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.
  • Xinyao Li, Dongyang Zhang, Zhenwen Liang, Deqiang Ouyang, and Jie Shao, "Fused Recurrent Network via Channel Attention for Remote Sensing Satellite Image Super-Resolution", In Proceedings of the 2020 IEEE International Conference on Multimedia and Expo (ICME), July 6-10 2020, London, United Kingdom.
  • Xiaochen Wang, Tingsong Xiao, Jie Tan, Deqiang Ouyang, and Jie Shao, "MRMRP: Multi-source Review-based Model for Rating Prediction", In Proceedings of the 25th International Conference on Database Systems for Advanced Applications (DASFAA), pages 20-35, September 24-27 2020, Jeju, South Korea.
  • Jiasheng Zhang, Yongpan Sheng, Zheng Wang, and Jie Shao, "TKGFrame: A Two-Phase Framework for Temporal-Aware Knowledge Graph Completion", In Proceedings of the 4th Asia Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data (APWeb-WAIM), pages 196-211, September 18-20 2020, Tianjin, China.
  • Kuntao Cao, Xi Huang, and Jie Shao, "Adaptive Feature Enhancement Network for Semantic Segmentation", In Proceedings of the 27th International Conference on Neural Information Processing (ICONIP), pages 302-311, November 18-22 2020, Bangkok, Thailand.
  • Abdullah Aman Khan, Haoyang Lin, Saifullah Tumrani, Zheng Wang, and Jie Shao, "Detection and Localization of Scorebox in Long Duration Broadcast Sports Videos", In Proceedings of the 5th International Symposium on Artificial Intelligence and Robotics (ISAIR), August 8-10 2020, Kitakyushu, Japan.
  • 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.
  • Zhenwen Liang, Dongyang Zhang, and Jie Shao, "Jointly Solving Deblurring and Super-Resolution Problems with Dual Supervised Network", In Proceedings of the 2019 IEEE International Conference on Multimedia and Expo (ICME), pages 790-795, July 8-12 2019, Shanghai, China.
  • Junming Chen, Jie Shao, Dongyang Zhang, and Xuehui Wu, "A Fast End-to-End Method with Style Transfer for Room Layout Estimation", In Proceedings of the 2019 IEEE International Conference on Multimedia and Expo (ICME), pages 964-969, July 8-12 2019, Shanghai, China.
  • Xuehui Wu, Jie Shao, Dongyang Zhang, and Junming Chen, "Unsupervised Facial Image Synthesis using Two-discriminator Adversarial Autoencoder Network", In Proceedings of the 2019 IEEE International Conference on Multimedia and Expo (ICME), pages 1162-1167, July 8-12 2019, Shanghai, China.
  • Xi Huang, Keyu Wu, Gang Hu, and Jie Shao, "Multi-class Human Body Parsing with Edge-Enhancement Network", In Proceedings of the 26th International Conference on Neural Information Processing (ICONIP), pages 466-477, December 12-15 2019, Sydney, Australia.
  • Xinyao Li, Dongyang Zhang, and Jie Shao, "Dual-Path Recurrent Network for Image Super-Resolution", In Proceedings of the 26th International Conference on Neural Information Processing (ICONIP), pages 99-108, December 12-15 2019, Sydney, Australia.
  • 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.
  • Bingqing Ke, Jie Shao, Zi Huang, and Heng Tao Shen, "Feature Reconstruction by Laplacian Eigenmaps for Efficient Instance Search", In Proceedings of the 8th ACM International Conference on Multimedia Retrieval (ICMR), pages 231-239, June 11-14 2018, Yokohama, Japan.
  • Yonghui Zhang, Jie Shao, Deqiang Ouyang, and Heng Tao Shen, "Person Re-identification Using Two-Stage Convolutional Neural Network", In Proceedings of 24th International Conference on Pattern Recognition (ICPR), pages 3341-3346, August 20-24 2018, Beijing, China.
  • Xuehui Wu, Jie Shao, Lianli Gao, and Heng Tao Shen, "Unpaired Image-to-Image Translation from Shared Deep Space", In Proceedings of 25th IEEE International Conference on Image Processing (ICIP), pages 2127-2131, October 7-10 2018, Athens, Greece.
  • Zhenwen Liang, Jie Shao, Dongyang Zhang, and Lianli Gao, "Small Object Detection Using Deep Feature Pyramid Networks", In Proceedings of the 19th Pacific-Rim Conference on Multimedia (PCM), pages 554-564, September 21-22 2018, Hefei, China.
  • 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.
  • Jie Chen, Jie Shao, Fumin Shen, Chengkun He, Lianli Gao, and Heng Tao Shen, "Movie Fill in the Blank with Adaptive Temporal Attention and Description Update", In Proceedings of the 26th International Conference on Information and Knowledge Management (CIKM), pages 1039-1048, November 6-10 2017, Singapore.
  • Bingqing Ke, Jie Shao, and Dongxiang Zhang, "An Efficient Online Approach for Direction-Preserving Trajectory Simplification with Interval Bounds", In Proceedings of the 18th IEEE International Conference on Mobile Data Management (MDM), pages 50-55, May 29 - June 1 2017, KAIST, Daejeon, South Korea.
  • Xing Xu, Fumin Shen, Yang Yang, Jie Shao, and Zi Huang, "Transductive Visual-Semantic Embedding for Zero-shot Learning", In Proceedings of the 7th ACM International Conferenceon Multimedia Retrieval (ICMR), pages 41-49, June 6-9 2017, Bucharest, Romania.
  • 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.
  • Bo Wang, Jie Shao, Chengkun He, Gang Hu, and Xing Xu "Spatial Verification via Compact Words for Mobile Instance Search", In Proceedings of the 23rd International Conference on Multimedia Modelling (MMM), pages 356-367, January 4-6 2017, Reykjavik, Iceland.
  • Dongyang Zhang, Jie Shao, Gang Hu, and Lianli Gao, "Sharp and Real Image Super-Resolution Using Generative Adversarial Network", In Proceedings of the 24th International Conference on Neural Information Processing (ICONIP), pages 217-226, November 14-18 2017, Guangzhou, China.
  • Yan Dai and Jie Shao, "An Enhanced Method of Trajectory Privacy Preservation through Trajectory Reconstruction", In Proceedings of the 3rd International Conference on Cloud Computing and Security (ICCCS), pages 230-243, June 16-18 2017, Nanjing, China.
  • Jiancong Ge, Xueliang Liu, Richang Hong, Jie Shao, and Meng Wang, "Deep Graph Laplacian Hashing for Image Retrieval", In Proceedings of the 18th Pacific-Rim Conference on Multimedia (PCM), pages 3-13, September 28-29 2017, Harbin, China. (Best Paper Finalist)
  • Jie Chen, Chengkun He, Gang Hu, and Jie Shao, "SELSH: A Hashing Scheme for Approximate Similarity Search with Early Stop Condition", In Proceedings of the 22nd International Conference on Multimedia Modelling (MMM), pages 104-115, January 4-6 2016, Miami, FL, USA.
  • Yang Yang, Yandan Luo, Weilun Chen, Fumin Shen, Jie Shao, and Heng Tao Shen, "Zero-Shot Hashing Via Transferring Supervised Knowledge", In Proceedings of the 24th ACM International Conference on Multimedia (ACM MM), pages 1286-1295, October 15-19 2016, Amsterdam, The Netherlands.
  • Zhao Guo, Lianli Gao, Jingkuan Song, Xing Xu, Jie Shao, and Heng Tao Shen, "Attention-based LSTM with Semantic Consistency for Videos Captioning", In Proceedings of the 24th ACM International Conference on Multimedia (ACM MM), pages 357-361, October 15-19 2016, Amsterdam, The Netherlands.
  • Bingqing Ke, Jie Shao, Yi Zhang, Dongxiang Zhang, and Yang Yang, "An Online Approach for Direction-Based Trajectory Compression with Error Bound Guarantee", In Proceedings of the 18th Asia-Pacific Web Conference (APWeb), pages 79-91, September 23-25 2016, Suzhou, China.
  • Xiu Huang, Yang Yang, Yue Hu, Fumin Shen, and Jie Shao, "Dynamic User Attribute Discovery on Social Media", In Proceedings of the 18th Asia-Pacific Web Conference (APWeb), pages 256-267, September 23-25 2016, Suzhou, China.
  • Kecai Wu, Xueliang Liu, Jie Shao, Richang Hong, and Tao Yang, "Retrieving Images by Multiple Samples via Fusing Deep Features", In Proceedings of the 17th Pacific-Rim Conference on Multimedia (PCM), pages 221-230, September 15-16 2016, Xi'an, China.
  • Gang Hu, Jie Shao, Lianli Gao, and Yang Yang, "Exploring Viewable Angle Information in Georeferenced Video Search", In Proceedings of the 23rd ACM International Conference on Multimedia (ACM MM), pages 839-842, October 26-30, 2015 Brisbane, Australia.
  • Lianli Gao, Jingkuan Song, Fuhao Zou, Dongxiang Zhang, and Jie Shao, "Scalable Multimedia Retrieval by Deep Learning Hashing with Relative Similarity Learning", In Proceedings of the 23rd ACM International Conference on Multimedia (ACM MM), pages 903-906, October 26-30 2015, Brisbane, Australia.
  • Mengqiu Hu, Yang Yang, Hanwang Zhang, Fumin Shen, Jie Shao, and Fuhao Zou, "Multi-view Semi-supervised Learning for Web Image Annotation", In Proceedings of the 23rd ACM International Conference on Multimedia (ACM MM), pages 947-950, October 26-30 2015, Brisbane, Australia.
  • Jie Shao, Lars Kulik, Egemen Tanin, and Long Guo, "Travel Distance versus Navigation Complexity: A Study on Different Spatial Queries on Road Networks", In Proceedings of the 23rd International Conference on Information and Knowledge Management (CIKM), pages 1791-1794, November 3-7 2014, Shanghai, China.
  • Long Guo, Jie Shao, Kian-Lee Tan, and Yang Yang, "WhereToGo: Personalized Travel Recommendation for Individuals and Groups", In Proceedings of the 15th IEEE International Conference on Mobile Data Management (MDM), pages 49-58, July 14-18 2014, Brisbane, Australia.
  • Yang Yang, Yue Gao, Hanwang Zhang, Jie Shao, and Tat-Seng Chua, "Image Tagging with Social Assistance", In Proceedings of the 4th ACM International Conference on Multimedia Retrieval (ICMR), pages 81-88, April 1-4 2014, Glasgow, Scotland (UK).
  • Hongyun Cai, Zi Huang, Jie Shao, and Xue Li, "Context Sensitive Tag Expansion with Information Inference", In Proceedings of the 17th International Conference on Database Systems for Advanced Applications (DASFAA), pages 440-454, April 15-18 2012, Busan, South Korea. (Best Paper Award)
  • Elizabeth Antoine, Kotagiri Ramamohanarao, Jie Shao, and Rui Zhang, "Accelerating Spatial Join Operations using Bit-Indices", In Proceedings of the 22nd Australasian Database Conference (ADC), pages 123-132, January 17-20 2011, Perth, Australia.
  • Jie Shao, Lars Kulik, and Egemen Tanin, "Easiest-to-Reach Neighbor Search", In Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS), pages 360-369, November 2-5 2010, San Jose, California, USA.
  • Elizabeth Antoine, Kotagiri Ramamohanarao, Jie Shao, and Rui Zhang, "Recursive Partitioning Method for Trajectory Indexing", In Proceedings of the 21st Australasian Database Conference (ADC), pages 37-46, January 19-21 2010, Brisbane, Australia.
  • Zi Huang, Liping Wang, Heng Tao Shen, Jie Shao, and Xiaofang Zhou, "Online Near-Duplicate Video Clip Detection and Retrieval: An Accurate and Fast System", In Proceedings of the 25th IEEE International Conference on Data Engineering (ICDE), pages 1511-1514, March 29-April 2 2009, Shanghai, China (demo).
  • Jie Shao, Zi Huang, Heng Tao Shen, Jialie Shen, and Xiaofang Zhou, "Distribution-based Similarity Measures for Multi-dimensional Point Set Retrieval Applications", In Proceedings of the 16th ACM International Conference on Multimedia (ACM MM), pages 429-438, October 27-31 2008, Vancouver, Canada.
  • Zi Huang, Heng Tao Shen, Jie Shao, Stefan Ruger, and Xiaofang Zhou, "Locality Condensation: A New Dimensionality Reduction Method for Image Retrieval", In Proceedings of the 16th ACM International Conference on Multimedia (ACM MM), pages 219-228, October 27-31 2008, Vancouver, Canada.
  • Jie Shao, Heng Tao Shen, and Xiaofang Zhou, "Challenges and Techniques for Effective and Efficient Similarity Search in Large Video Databases", In Proceedings of the 34th International Conference on Very Large Data Bases (VLDB), pages 1598-1603, August 23-28 2008, Auckland, New Zealand (PhD workshop).
  • Jie Shao, Zi Huang, Heng Tao Shen, Xiaofang Zhou, and Yijun Li, "Dynamic Batch Nearest Neighbour Search in Video Retrieval", In Proceedings of the 23rd IEEE International Conference on Data Engineering (ICDE), pages 1395-1399, April 15-20 2007, Istanbul, Turkey (short paper).
  • Heng Tao Shen, Xiaofang Zhou, Zi Huang, Jie Shao, and Xiangmin Zhou, "UQLIPS: A Real-time Near-duplicate Video Clip Detection System", In Proceedings of the 33rd International Conference on Very Large Data Bases (VLDB), pages 1374-1377, September 23-28 2007, Vienna, Austria (demo).
  • Heng Tao Shen, Xiaofang Zhou, Zi Huang, and Jie Shao, "Statistical Summarization of Content Features for Fast Near-duplicate Video Detection", In Proceedings of the 15th ACM International Conference on Multimedia (ACM MM), pages 164-165, September 24-29 2007, Augsburg, Germany (demo).
  • Zi Huang, Heng Tao Shen, Xiaofang Zhou, and Jie Shao, "Dual Dimensionality Reduction for Efficient Video Similarity Search", In Proceedings of the 9th International Conference on Data Warehousing and Knowledge Discovery (DaWaK), pages 397-406, September 3-7 2007, Regensburg, Germany.

  • 专业研究方向:  
    专业名称 研究方向 招生类别
    081200计算机科学与技术 02机器智能与模式识别 博士
    081200计算机科学与技术 03数字媒体技术 博士
    081200计算机科学与技术 06云计算与大数据处理 博士
    085400电子信息 12不区分研究方向 博士
    081200计算机科学与技术 02机器智能与模式识别 硕士
    081200计算机科学与技术 03数字媒体技术 硕士
    081200计算机科学与技术 06云计算与大数据处理 硕士


    学院列表
    01  信息与通信工程学院
    02  电子科学与工程学院
    03  材料与能源学院
    04  机械与电气工程学院
    05  光电科学与工程学院
    06  自动化工程学院
    07  资源与环境学院
    08  计算机科学与工程学院
    09  信息与软件工程学院
    10  航空航天学院
    11  数学科学学院
    12  物理学院
    13  医学院
    14  生命科学与技术学院
    15  经济与管理学院
    16  公共管理学院
    17  外国语学院
    18  马克思主义学院
    21  基础与前沿研究院
    22  通信抗干扰技术国家级重点实验室
    23  电子科学技术研究院
    28  深圳高等研究院