个人简介
郝世杰于2002年考入合肥工业大学计算机与信息学院，分别于2006、2009、2012年获得学士、硕士与博士学位。2013年1月起在合肥工业大学计算机与信息学院从事教学与科研工作，媒体计算实验室(LMC)团队一员。受国家留学基金委资助，15-16年赴美国北卡大学教堂山分校医学院IDEA实验室从事学术研究，合作导师为Dinggang Shen教授(IEEE/SPIE/MICCAI Fellow、现为上海科技大学特聘教授、生物医学工程学院创院院长)。
在教学方面，主要从事数字信号处理方向教学。在科研方面，主要从事数字图像处理与分析、多媒体信息处理等方向研究，已发表或录用论文60余篇。目前主持国家自然科学基金面上项目一项、安徽省创协协同项目一项、国家重点研发计划子课题一项，参与在研国家自然科学基金重点项目一项。主持完成国家自然科学基金面上项目一项、青年项目一项，中国博士后基金一项，校青年教师创新项目、博士专项科研资助基金项目各一项；参与完成国家自然科学基金两项、科技部863项目一项。指导硕士研究生9名，协助指导博士/硕士研究生9名。
担任International Journal of Intelligent Systems期刊特刊客座编委，担任知名学术期刊IEEE TPAMI、IEEE TIP、IEEE TCSVT、IEEE TCYB、IEEE TMM、IEEE TIE、IEEE JSTSP、ACM CSUR、ACM TOMM、Artificial Intelligence in Medicine、Information Fusion、Information Sciences、International Journal of Intelligent Systems、IET Image Processing、Signal Processing和知名学术会议CVPR、ICCV、ECCV、ACM Multimedia、AAAI、IJCAI、ICASSP、BMVC、ICME、MMM等期刊与会议审稿人。
教学工作：
课堂教学：数字信号处理
创新创业：与汪萌教授、洪日昌教授共同指导学院本科生于2019年--2021年连续三年获得中国大学生计算机设计大赛全国一等奖；指导学院各个专业本科生获得各类本科学生竞赛省级奖十余项。指导历届电子信息工程专业同学开展国家级、省级和校级大创项目研究，多个项目结题评价为优秀。指导2011级、2014级、2016级、2017级、2018级、2019级多位本科生以第一作者在国内外期刊发表论文7篇。
指导学生围绕“终端视觉”完成多个安卓手机APP作品，如“智拍”（获2019年度中国大学生计算机设计大赛一等奖）、“画中人”（获2020年度中国大学生计算机设计大赛一等奖）、“妙笔生画”（获2020年度安徽省数字媒体技术大赛一等奖）、“AI作画”（获2021年度中国大学生计算机设计大赛一等奖）。
获2018年度本科毕设优秀指导教师，2018年度学校优秀班主任，2019年合肥工业大学优秀共产党员，2020年合肥工业大学立德树人奖，2020年中国大学生计算机设计大赛优秀指导教师。2021-2022学年、2022-2023学年获得“学生评教优秀奖”。
科研工作：
1 终端视觉：暗光照增强、细节增强等终端视觉算法探索，并向移动端移植优化*部分终端视觉算法已集成进安卓手机APP，安装文件下载链接：
https://drive.google.com/file/d/1n2ABS-MyldIFvMxFWdEiJjfTuE0pfh1M/view?usp=sharing
https://drive.google.com/file/d/1bnxzygK4yfZr5uDLUb4icPZ1RBa8PEj7/view?usp=sharing
2 半监督学习：基于图(Graph)结构的数据表示与关联，研究基于图的半监督学习算法，使之用于大规模视觉媒体分类等应用
3 脑影像分析：研究婴儿脑曲面分析中的关键技术环节，即在婴儿脑皮层曲面重构过程中，自动检测与修正因图像分割误差带来的曲面拓扑错误
发表/录用论文：
82. Tao Chen, Yanrong Guo*, Shijie Hao, Richang Hong. Leaving None Behind: Data-Free Domain Incremental Learning for Major Depressive Disorder Detection. IEEE Transactions on Affective Computing, 2024
81. Jingyao Zhang, Shijie Hao*, Yuan Rao. Pre-trained Low-light Image Enhancement Transformer. IET Image Processing, 2024
80. Tao Chen, Yanrong Guo*, Shijie Hao, Richang Hong. Semi-supervised Domain Adaptation for Major Depressive Disorder Detection, IEEE Transactions on Multimedia, 2024.
79. Dian Xie, Huajun Xing, Liangyu Chen, Shijie Hao*. A Lightness-aware Loss for Low-light Image Enhancement, Pattern Recognition Letters, 2024. (第一作者为2019级本科生，第三作者为2020级本科生)
78. Linlin Hu, Shijie Hao*, Yanrong Guo, Richang Hong, Meng Wang. Low-Light Image Enhancement Based on Mutual Guidance Between Enhancing Strength and Image Appearance. PRCV, 2023
77. Yanrong Guo, Jilong Liu, Lei Wang, Wei Qin, Shijie Hao, Richang Hong*. A Prompt-Based Topic-Modeling Method for Depression Detection on Low-Resource Data. IEEE Transactions on Computational Social Systems, 2023
76. Yuan Zhou, Yanrong Guo*, Shijie Hao, Richang Hong, Jiebo Luo. Few-shot Multi-view Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
75. Yueyuan Xu, Zhenzhen Hu*, Yuanen Zhou, Shijie Hao, Richang Hong. CITE: Compact interactive transformer for multilingual image captioning. In: Proceedings of International Conference on Image and Graphics Processing, 2023
74. 高仁，郝世杰*，郭艳蓉. 一种自适应去噪保真的无监督暗光图像增强模型. 计算机科学, 2023
73. Tao Chen, Yanrong Guo*, Shijie Hao, Richang Hong. Exploring Self-Attention Graph Pooling With EEG-Based Topological Structure and Soft Label for Depression Detection. IEEE Transactions on Affective Computing, 2022
72. Zhiyuan Zhou, Yanrong Guo*, Shijie Hao, Richang Hong. Hierarchical Multi-feature Fusion via Audio-Response-level Modeling for Depression Detection. IEEE Transactions on Computational Social Systems, 2022
71. Yanrong Guo*, Chenyang Zhu, Shijie Hao, Richang Hong. Automatic Depression Detection via Learning and Fusing Features from Visual Cues. IEEE Transactions on Computational Social Systems, 2022
70. Tao Chen, Richang Hong*, Yanrong Guo, Shijie Hao, Bin Hu. MS2-GNN: Exploring GNN-based Multi-modal Fusion Network for Depression Detection. IEEE Transactions on Cybernetics, 2022
69. Yuan Zhou, Yanrong Guo*, Shjie Hao, Richang Hong. Hierarchical Prototype Refinement With Progressive Inter-Categorical Discrimination Maximization for Few-Shot Learning. IEEE Transactions on Image Processing, 2022
68. Shijie Hao*, Yuan Zhou, Yanrong Guo, Richang Hong, Jun Cheng, Meng Wang. Real-Time Semantic Segmentation via Spatial-Detail Guided Context Propagation. IEEE Transactions on Neural Networks and Learning Systems, 2022
67. Shijie Hao*, Xu Han, Yanrong Guo, Meng Wang. Decoupled Low-light Image Enhancement. ACM Transactions on Multimedia Computing, Communications, and Applications, 2022
66. Yanrong Guo*, Huihui Sun, Shijie Hao. Adaptive Dictionary and Structure Learning for Unsupervised Feature Selection. Information Processing and Management, 2022
65. 杨炳新，郭艳蓉*，郝世杰，洪日昌. 基于数据增广和模型集成策略的图神经网络在抑郁症识别上的应用. 计算机科学，2022
64. Shijie Hao*, Zhonghao Wang, Fuming Sun. LEDet: A Single-Shot Real-Time Object Detector Based on Low-Light Image Enhancement. The Computer Journal, 2021
63. Shijie Hao, Tao Chen, Yang Wang*, Yanrong Guo, Meng Wang. Adaptive Multi-Task Dual-Structured Learning with Its Application on Alzheimer’s Disease Study. ACM Transactions on Internet Technology, 21(2): 1-16, 2021
62. 王以涵，郝世杰*, 韩徐，洪日昌. 基于低秩矩阵估计的暗光图像增强模型. 计算机科学，2021
61. Teng Li, Shijie Hao*, Yanrong Guo. Robust pencil drawing generation via fast Retinex decomposition. Computer & Graphics. (special section on CAD & Graphics 2021), 2021. (第一作者为2018级本科生)
60. Teng Li, Jianyu Xie, Hongliang Niu, Shijie Hao*. Enhancing pencil drawing patterns via using semantic information. Multimedia Tools and Applicaitons. (submitted in May, 2020) accepted in April 2021. (前三作者均为2018级本科生)
59. Jinxing Zhou, Liang Zheng*, Yiran Zhong, Shijie Hao, Meng Wang*. Positive Sample Propagation along the Audio-Visual Event Line. CVPR2021
58. 郝世杰，郭艳蓉*，陈涛，汪萌，洪日昌. 基于自适应稀疏结构学习的神经疾病特征选择方法. 模式识别与人工智能, 2021
57. Weijie Fu*, Meng Wang, Mengnan Du, Ninghao Liu, Shijie Hao, Xia Hu. Differentiated Explanation of Deep Neural Networks with Skewed Distributions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021
56. Shijie Hao*, Zhonghao Wang, Fuming Sun. Stacked Pyramid Attention Network for Object Detection. Neural Processing Letters, 2021
55. Xiaoxian Cao, Shijie Hao, Lei Xu*. Single image deraining by fully exploiting contextual information. Neural Processing Letters, 2021
54. Shijie Hao*, Xu Han, Yuanhang Wu, Lei Xu. Fusion based image enhancement and its applications in mobile devices. An invited chapter in Multimedia for Accessible Human Computer Interfaces, Springer, 2021
53.Shijie Hao, Xu Han, Youming Zhang, Lei Xu*. Low-light Enhancementbased on an Improved Simplified Retinex Model via FastIllumination Map Refinement. Pattern Analysis and Applications.2020.
52.Junyi Xie, Hao Bian, Yuanhang Wu, Yu Zhao, Linmin Shan, ShijieHao*. Semantically-guided low-light image enhancement. PatternRecognition Letters, 2020. (前五作者均为2017级电信工专业大创团队成员)
51. Shijie Hao*, Xu Han, Yanrong Guo, Xin Xu, Meng Wang. Low-Light Image Enhancement With Semi-Decoupled Decomposition. IEEE Transactions on Multimedia, 2020.
50.Meng Wang*, Weijie Fu, Xiangnan He, Shijie Hao. Asurvey on large-scale machine learning. IEEE Transactions onKnowledge and Data Engineering, 2020.
49. Shijie Hao, Yuan Zhou, Youming Zhang, Yanrong Guo*. Contextual Attention Refinement Network for Real-Time Semantic Segmentation. IEEE Access, 2019
48. Shijie Hao, Yuan Zhou, Yanrong Guo*. A Brief Survey on Semantic Segmentation with Deep Learning. Neurocomputing, 2019
47.Tao Chen, Yanrong Guo*, Shijie Hao. Unsupervised feature selectionbased on joint spectral learning and general sparse regression.Neural Computing and Applications. 2019
46.Zhiyuan Zhou, Zhuang Feng, Jilong Liu, Shijie Hao*. Single-ImageLow-Light Enhancement via Generating and Fusing Multiple Sources.Neural Computing and Applications. 2019 （第一与第三作者为2016级大创团队成员）
45.Yao Ma, Xibiao Cai, Fuming Sun, Shijie Hao. No-Reference ImageQuality Assessment Based on Multi-Task Generative AdversarialNetwork. IEEE ACCESS, 2019
44.Rongjie Zhang, Xueliang Liu, Yanrong Guo, Shijie Hao*. ImageSynthesis with Aesthetics-Aware Generative Adversarial Network.PCM2018
43.Chenmin Xu, Shijie Hao*, Yanrong Guo, Richang Hong. EnhancingLow-Light Images with JPEG Artifact based on Image Decomposition.PCM2018
42.Zhuang Feng, Zhiyuan Zhou, Shijie Hao*, Yong Ge, Richang Hong,Meng Wang. Single Low-light Image Enhancement by Fusing MultipleSources, IEEE International Conference on Multimedia Big Data,2018
41.Weijie Fu*, Meng Wang, Shijie Hao. Scalable Active Learning byApproximated Error Reduction. SIGKDD, 2018
40.Maojin Sun, Shijie Hao*, Guangcan Liu. Semi-Supervised VehicleClassification via Fusing Affinity Matrices. Signal Processing,2018
39.Shijie Hao, Yanrong Guo*, Zhongliang Wei. Lightness-aware ContrastEnhancement for Images with Different Illumination Conditions.Multimedia Tools and Applications, 2018
38.Shijie Hao*, Zhuang Feng. Low-Light Image Enhancement with aRefined Illumination Map. Multimedia Tools and Applications. 2018
37.Weijie Fu*, Meng Wang, Shijie Hao, Tingting Mu. FLAG: FasterLearning on Anchor Graph with Label Predictor Optimization. IEEETransactions on Big Data, 2018
36.Zhenkun Zhou,Shijie Hao*.Exemplar-based Photo Color Correction byExploring Visual Aesthetic. ICIMCS, 2017
35.Zhuang Feng, Shijie Hao*. Low-Light Image Enhancement by RefiningIllumination Map with Self-Guided Filtering. ICBK, 2017
34.Zhenkun Zhou, Shijie Hao*. Anatomical Landmark Detection on 3DHuman Shapes by Hierarchically Utilizing Multiple Shape Features,Neurocomputing, 2017
33.Meng Wang*, Weijie Fu, Shijie Hao, Hengchang Liu, Learning onLarge Graph: Label Inference and Regularization with AnchorHierarchy. IEEE Transactions on Knowledge and Data Engineering,2017
32.Yanrong Guo, Pei Dong, Shijie Hao, Guorong Wu, Dinggang Shen*.Automatic Segmentation of Hippocampus for Longitudinal InfantBrain MR Image Sequence by Spatial-Temporal Hypergraph Learning.MICCAI workshop, Patch based Medical Imaging, 2016
31.Shijie Hao, Gang Li, Li Wang, Yu Meng, Dinggang Shen*.Learning-based Topological Correction for Infant CorticalSurfaces. MICCAI, 2016. [early accept]
30.Shijie Hao*, Yanrong Guo, Richang Hong, Meng Wang, Scale-awarespatially guided mapping by combining multiple level-of-details,IEEE Multimedia, 2016
29.Meng Wang*, Weijie Fu, Shijie Hao, Dacheng Tao. ScalableSemi-Supervised Learning by Efficient Anchor Graph Regularization,IEEE Transactions on Knowledge and Data Engineering, 2016
28.Daru Pan*, Xin Zou, Xiong Liu, Han Zhang, Shijie Hao. BufferManagement for Streaming Media Transmission in Hierarchical Dataof Opportunistic Networks. Nerucomputing, 2016
27.Rui Jiang, Weijie Fu, Li Wen, Shijie Hao*, Richang Hong.Dimensionality reduction on Anchorgraph with an efficient LocalityPreserving Projection, Neurocomputing, 2016
26.Weijie Fu, Shijie Hao*,Meng Wang. Active learning on anchorgraphwith an improved transductive experimental design. Neurocomputing,2016 （第一作者为2011级电信工本科生）
25.Shijie Hao*, Daru Pan, Yanrong Guo, Richang Hong, Meng Wang. Imagedetail enhancement with spatially guided filters. SignalProcessing, 2016
24.Shijie Hao*, Meng Wang, Richang Hong, Jianguo Jiang. Spatiallyguided local Laplacian filter for nature image detail enhancement.Multimedia Tools and Applications. 2016
23.Fuming Sun, Meixiang Xu, Haojie Li, Shijie Hao*. Social videoannotation by combining features with a tri-adaptation approach.Multimedia Systems, 2016
22.Xu Zhang, Shijie Hao, Chenyang Xu, Xueming Qian, Meng Wang*,Jianguo Jiang. Image classification based on low-rank matrixrecovery and Naive Bayes collaborative representation.Neurocomputing, 2015
21.Fuming Sun, Haojie Li, Shijie Hao*. Shape analysis based onfeature-preserving Elastic Quadratic PatchModeling.Neurocomputing, 2014
20.Ping Ji*, Na Zhao, Shijie Hao, Jianguo Jiang. Automatic imageannotation by semi-supervised manifold kernel density estimation.Information Sciences. 2014
19.Tianfeng Zhou, Meibin Qi, Jianguo Jiang, Xin Wang, Shijie Hao*,Yulong Jin. Person Re-Identification based on Nonlinear Rankingwith Difference Vectors. Information Sciences. 279,604–614,2014
18.Richang Hong, Jianxin Pan, Shijie Hao, Meng Wang*, Feng Xue. ImageQuality Assessment based on Matching Pursuit. InformationSciences, 273(20),196-211, 2014.
17.Shijie Hao*, Jianguo Jiang, Yanrong Guo, Hong Li. Active learningbased intervertebral disk classification combining shape andtexture similarities, Neurocomputing. 101(4):252-257, 2013
16.Shijie Hao*, Jianguo Jiang, Yanrong Guo, Shu Zhan.Epsilon-isometry based shape approximation for image contentrepresentation. Signal Processing, 93(8):2293-2304，2013
15.郭艳蓉*,蒋建国,郝世杰,詹曙,李鸿.基于统计相似度的医学图像分割.中国图象图形学报,18(2):225-234, 2013
14.郭艳蓉*,蒋建国,郝世杰,詹曙,李鸿.基于LBP特征的随机游走图像分割.电路与系统学报.18(1): 149-156, 2013.
13.郝世杰*,蒋建国,郭艳蓉,詹曙.弹性二次曲面模型下的三维形状表现与平滑.中国图象图形学报,17(8): 1201-1208, 2012
12.郝世杰*,蒋建国,郭艳蓉,詹曙,李鸿.结合形状与纹理特征的椎间盘退化辅助诊断.中国图象图形学报,17(9): 1168-1174, 2012
11.蒋建国*,郝世杰,郭艳蓉,詹曙.保持几何特征的自适应弹性二次曲线模型.中国图象图形学报,17(5): 682-688, 2012
10.蒋建国*,周丹凤,郝世杰,郭艳蓉,詹曙.联合骨架与边界特征的平面形状分解.中国图象图形学报,17(11):1425-1430,2012
9. 蒋建国*,任靖,郝世杰,詹曙,李鸿.自适应主动轮廓模型下的骨关节MRI快速分割.中国图象图形学报,16(7): 1199-1205, 2011
8. 蒋建国*,郭艳蓉,郝世杰,詹曙,李鸿.贝叶斯框架下的非参数估计GraphCuts分割算法.中国图象图形学报,16(6):947-952, 2011
7.蒋建国*,宣浩,郝世杰,詹曙,李鸿.最小描述长度优化下的医学图像统计形状建模.中国图象图形学报,16(5): 879-885, 2011
6.Shijie Hao*, Jianguo Jiang, Yanrong Guo, Shu Zhan. IntervertebralDisc Shape Analysis with Geodesic Metric in Shape Space. InProceedings of 6th International Conference on Image and Graphics.Hefei, China, 2011
5.Yanrong Guo*, Jianguo Jiang, Shijie Hao, Shu Zhan.Distribution-based Active Contour Model for Medical ImageSegmentation. In Proceedings of 6th International Conference onImage and Graphics. Hefei, China, 2011
4.金勇,蒋建国*,郝世杰,鲁清凯.基于特征点集搜索的三维序列livewire分割方法.合肥工业大学学报(自然科学版),34(5):691-69, 2011
3.郝世杰*,詹曙,蒋建国,李鸿.结合改进型主动外观模型与马尔科夫随机场的椎间盘核磁共振图像分析.生物医学工程学杂志,27(1): 6-9, 2010
2.詹曙*,郝世杰,李鸿,蒋建国.基于脊椎MRI中改进ICA-AAMs椎体分割的腰椎图像分析.中国图象图形学报,15(2): 280-286, 2010
1.詹曙*,林芬华,郝世杰,蒋建国.基于MRF的膝关节半月板快速自动分割算法.电子测量与仪器学报,23(12): 55-60, 2009