Research fields:

Affective Computing

Major depression detection

Semi-supervised learning

Image Enhancement

Publications:

96. Zhiyuan Zhou, Yanrong Guo, Shijie Hao. Voices, Faces, and Feelings: Multi-modal Emotion-Cognition Captioning for Mental Health Understanding. In: Proceedings of AAAI, 2026

95. Ao Sun, Shijie Hao, Yanrong Guo. Illumination-Prior Guided Hybrid Network for Low-Light Image Enhancement. In: Proceedings of 32nd International Conference on Multimedia Modeling (MMM), 2026

94. Zepu Xu, Shijie Hao. Mamba-Transformer for Low-light Image Enhancement in HVI Color Space. Multimedia Systems,  2025

93. Shijie Hao, Jun Zhang, Jingjing Wu, Yanrong Guo, Richang Hong. Interview-based Depression Detection Using LLM-based Text Restatement and Emotion Lexicon. IEEE Transactions on Affective Computing, 2025

92. Yuan Zhou, Richang Hong, Yanrong Guo, Lin Liu, Shijie Hao, Hanwang Zhang.  Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning. IEEE Transactions on Circuits and Systems for Video Technology, 2025

91. Jingxi Liao, Shijie Hao, Richang Hong, Meng Wang. GT-Mean Loss: A Simple Yet Effective Solution for Brightness Mismatch in Low-Light Image Enhancement. ICCV, 2025

90. Guanyu Lu，Shijie Hao, Yanrong Guo, Richang Hong, Meng Wang.  BiLLIE: Toward Smooth Binarization of Low-light Image Enhancement. PRCV, 2025.

89. Chao Chen, Shijie Hao. SMT: SNR-Aware Mamba-Transformer for Low-Light Image Enhancement. PRCV, 2025.

88. Yanrong Guo, Youwei Guo, Bingxin Yang, Jingjing Wu, Shijie Hao, Richang Hong. Sub-threshold Depression Detection with Text-guided Multimodal Learning. IEEE Transactions on Computational Social Systems, 2025

87. Zhiyuan Zhou, Jilong Liu, Sanwang Wang, Shijie Hao, Yanrong Guo, Richang Hong.  InterMind: Doctor-Patient-Family Interactive Depression Assessment Empowered by Large Language Model. ACM Multimedia, 2025

86. 孙静，孙福奇，郝世杰，孙福明. 一种基于小波变换的两阶段低照度图像增强方法. 计算机学报，2025 (in Chinese)

85. Tao Chen, Yanrong Guo, Shijie Hao, Richang Hong. Beyond Statistical Correlation: Causal Insights into Emotion Recognition. ICME, 2025

84. Zhiyuan Zhou, Yanrong Guo, Shijie Hao, Richang Hong. Multi-modal Depression Detection in Interview via Exploring Emotional Distribution Information. IEEE Transactions on Multimedia, 2025.

83. Jingyao Zhang, Shijie Hao, Fuming Sun, Yuan Rao. LIESA: Low-Light Image Enhancement with Semantic Awareness. Multimedia Modeling (MMM), 2025

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. 

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 (in Chinese)

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 (in Chinese)

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 (in Chinese)

61. Teng Li, Shijie Hao, Yanrong Guo. Robust pencil drawing generation via fast Retinex decomposition. Computer & Graphics. (special section on CAD & Graphics 2021), 2021.

60. Teng Li, Jianyu Xie, Hongliang Niu, Shijie Hao. Enhancing pencil drawing patterns via using semantic information. Multimedia Tools and Applications. (submitted in May, 2020) accepted in April 2021.

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 (in Chinese)

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 Enhancement based on an Improved Simplified Retinex Model via Fast Illumination Map Refinement. Pattern Analysis and Applications.2020.

52.Junyi Xie, Hao Bian, Yuanhang Wu, Yu Zhao, Linmin Shan, Shijie Hao. Semantically-guided low-light image enhancement. Pattern Recognition Letters, 2020.

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. A survey on large-scale machine learning. IEEE Transactions on Knowledge 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 selection based on joint spectral learning and general sparse regression. Neural Computing and Applications. 2019

46.Zhiyuan Zhou, Zhuang Feng, Jilong Liu, Shijie Hao. Single-Image Low-Light Enhancement via Generating and Fusing Multiple Sources. Neural Computing and Applications. 2019 

45.Yao Ma, Xibiao Cai, Fuming Sun, Shijie Hao. No-Reference Image Quality Assessment Based on Multi-Task Generative Adversarial Network. IEEE ACCESS, 2019

44.Rongjie Zhang, Xueliang Liu, Yanrong Guo, Shijie Hao. Image Synthesis with Aesthetics-Aware Generative Adversarial Network.PCM2018

43.Chenmin Xu, Shijie Hao, Yanrong Guo, Richang Hong. Enhancing Low-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 Multiple Sources, IEEE International Conference on Multimedia Big Data,2018

41.Weijie Fu, Meng Wang, Shijie Hao. Scalable Active Learning by Approximated Error Reduction. SIGKDD, 2018

40.Maojin Sun, Shijie Hao, Guangcan Liu. Semi-Supervised Vehicle Classification via Fusing Affinity Matrices. Signal Processing,2018

39.Shijie Hao, Yanrong Guo, Zhongliang Wei. Lightness-aware Contrast Enhancement for Images with Different Illumination Conditions. Multimedia Tools and Applications, 2018

38.Shijie Hao, Zhuang Feng. Low-Light Image Enhancement with a Refined Illumination Map. Multimedia Tools and Applications. 2018

37.Weijie Fu, Meng Wang, Shijie Hao, Tingting Mu. FLAG: Faster Learning on Anchor Graph with Label Predictor Optimization. IEEE Transactions on Big Data, 2018

36.Zhenkun Zhou, Shijie Hao. Exemplar-based Photo Color Correction by Exploring Visual Aesthetic. ICIMCS, 2017

35.Zhuang Feng, Shijie Hao. Low-Light Image Enhancement by Refining Illumination 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 on Large Graph: Label Inference and Regularization with Anchor Hierarchy. 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 Infant Brain 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 Cortical Surfaces. MICCAI, 2016. [early accept]

30.Shijie Hao, Yanrong Guo, Richang Hong, Meng Wang, Scale-aware spatially guided mapping by combining multiple level-of-details, IEEE Multimedia, 2016

29.Meng Wang, Weijie Fu, Shijie Hao, Dacheng Tao. Scalable Semi-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. Buffer Management 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 Locality Preserving Projection, Neurocomputing, 2016

26.Weijie Fu, Shijie Hao,Meng Wang. Active learning on anchor graph with an improved transductive experimental design. Neurocomputing,2016 

25.Shijie Hao, Daru Pan, Yanrong Guo, Richang Hong, Meng Wang. Image detail enhancement with spatially guided filters. Signal Processing, 2016

24.Shijie Hao, Meng Wang, Richang Hong, Jianguo Jiang. Spatially guided local Laplacian filter for nature image detail enhancement. Multimedia Tools and Applications. 2016

23.Fuming Sun, Meixiang Xu, Haojie Li, Shijie Hao. Social video annotation 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 matrix recovery and Naive Bayes collaborative representation. Neurocomputing, 2015

21.Fuming Sun, Haojie Li, Shijie Hao. Shape analysis based on feature-preserving Elastic Quadratic Patch Modeling. Neurocomputing, 2014

20.Ping Ji, Na Zhao, Shijie Hao, Jianguo Jiang. Automatic image annotation 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 Ranking with Difference Vectors. Information Sciences. 279,604–614,2014

18.Richang Hong, Jianxin Pan, Shijie Hao, Meng Wang, Feng Xue. Image Quality Assessment based on Matching Pursuit. Information Sciences, 273(20),196-211, 2014.

17.Shijie Hao, Jianguo Jiang, Yanrong Guo, Hong Li. Active learning based intervertebral disk classification combining shape and texture similarities, Neurocomputing. 101(4):252-257, 2013

16.Shijie Hao, Jianguo Jiang, Yanrong Guo, Shu Zhan. Epsilon-isometry based shape approximation for image content representation. 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 (in Chinese)

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. (in Chinese)

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 (in Chinese)

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 (in Chinese)

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 (in Chinese)

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 (in Chinese)

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 (in Chinese)

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 (in Chinese)

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 (in Chinese)

6.Shijie Hao, Jianguo Jiang, Yanrong Guo, Shu Zhan. Intervertebral Disc Shape Analysis with Geodesic Metric in Shape Space. In Proceedings 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 Image Segmentation. In Proceedings of 6th International Conference on Image 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 (in Chinese)

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 (in Chinese)

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 (in Chinese)

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 (in Chinese)