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Papers

Journal Papers:

  1. Leida Li, Hancheng Zhu, Sicheng Zhao, Guiguang Ding, Weisi Lin, "Personality-assisted Multi-task Learning for Generic and Personalized Image Aesthetics Assessment", IEEE Transactions on Image Processing, vol. 29, pp. 3898-3910, 2020. [CODE]
  2. Leida Li, Pengfei Chen, Weisi Lin, Mai Xu, Guangming Shi, "From Whole Video to Frames: Weakly-Supervised Domain Adaptive Continuous-Time QoE Evaluation", IEEE Transactions on Image Processing, 2022.
  3. Leida Li, Hao Cai, Yabin Zhang, Weisi Lin, Alex C. Kot, Xingming Sun, "Sparse Representation Based Image Quality Index with Adaptive Sub-dictionaries", IEEE Transactions on Image Processing, vol. 25, no. 8, pp. 3775-3786, 2016. 
  4. Leida Li, Weisi Lin, Xuesong Wang, Gaobo Yang, Khosro Bahrami, Alex C. Kot,“No-reference Image Blur Assessment Based on Discrete Orthogonal Moments", IEEE Transactions on Cybernetics, vol. 46, no. 1, pp. 39-50, 2016. 
  5. Leida Li, Yu Zhou, Ke Gu,Yuzhe Yang,Yuming Fang, "Blind Realistic Blur Assessment Based on Discrepancy Learning", IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 11, pp. 3859-3869, 2020.
  6. Leida Li, Dong Wu, Jinjian Wu, Haoliang Li, Weisi Lin, Alex C. Kot, "Image Sharpness Assessment by Sparse Representation", IEEE Transactions on Multimedia, vol. 18, no. 6, pp. 1085-1097, 2016.
  7. Leida Li, Wenhan Xia, Weisi Lin, Yuming Fang, Shiqi Wang, "No-reference and Robust Image Sharpness Evaluation Based on Multi-scale Spatial and Spectral Features", IEEE Transactions on Multimedia, vol. 19, no. 5, pp. 1030-1040, 2017.  
  8. Leida Li, Yu Zhou, Ke Gu, Weisi Lin, Shiqi Wang, "Quality Assessment of DIBR-synthesized Images by Measuring Local Geometric Distortions and Global Sharpness", IEEE Transactions on Multimedia, vol. 20, no. 4, pp. 914-926, 2018.  
  9. Leida Li, Yu Zhou, Jinjian Wu, Fu Li, Guangming Shi, "Quality Index for View Synthesis by Measuring Instance Degradation and Global Appearance",  IEEE Transactions on Multimedia, vol. 23, pp. 320-332, 2021.
  10. Leida Li, Yixuan Li, Jijian Wu, Lin Ma, Yuming Fang, "Quality Evaluation for Image Retargeting with Instance Semantics", IEEE Transactions on Multimedia, vol. 23, pp. 2757-2769, 2021. 
  11. Leida Li, Yipo Huang, Jinjian Wu, Ke Gu, Yuming Fang, "Predicting the Quality of View Synthesis With Color-Depth Image Fusion", IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 7, pp. 2509-2521, 2021. 
  12. Leida Li, Tianshu Song, Jinjian Wu, Weisheng Dong, Jiansheng Qian, Guangming Shi, “Blind Image Quality Index for Authentic Distortions With Local and Global Deep Feature Aggregation”, IEEE Transactions on Circuits and Systems for Video Technology, Accepted, 2021. 
  13. Leida Li, Yipo Huang, Jinjian Wu, Yuzhe Yang, Yaqian Li, Yandong Guo, Guangming Shi, "Theme-aware Visual Attribute Reasoning for Image Aesthetics Assessment", IEEE Transactions on Circuits and Systems for Video Technology, 2023. 
  14. Leida Li, Tong Zhu, Pengfei Chen, Yuzhe Yang, Yaqian Li, Weisi Lin, "Image Aesthetics Assessment with Attribute-Assisted Multimodal Memory Network", IEEE Transactions on Circuits and Systems for Video Technology, 2023. 
  15. Tianshu Song, Leida Li*, Jinjian Wu, Yuzhe Yang, Yaqian Li, Yandong Guo, Guangming Shi, "Knowledge-Guided Blind Image Quality Assessment with Few Training Samples", IEEE Transactions on Multimedia, 2022.
  16. Yipo Huang, Leida Li*, Yuzhe Yang, Yaqian Li, Yandong Guo, "Explainable and Generalizable Blind Image Quality Assessment via Semantic Attribute Reasoning", IEEE Transactions on Multimedia, 2022. 
  17. Pengfei Chen, Leida Li*, Haoliang Li, Jinjian Wu, Weisheng Dong, Guangming Shi, "Dynamic Expert-Knowledge Ensemble for Generalizable Video Quality Assessment", IEEE Transactions on Circuits and Systems for Video Technology, 2022. 
  18. Pengfei Chen, Leida Li*, Jinjian Wu, Yabin Zhang, Weisi Lin, "Temporal Reasoning Guided QoE Evaluation for Mobile Live Video Broadcasting", IEEE Transactions on Image Processing, vol. 30, pp. 3279-3292, 2021.
  19. Pengfei Chen, Leida Li*, Jinjian Wu, Weisheng Dong, Guangming Shi, "Contrastive Self-supervised Pre-training for Video Quality Assessment", IEEE Transactions on Image Processing, DOI: 10.1109/TIP.2021.3130536, 2021.
  20. Hancheng Zhu, Leida Li*, Jinjian Wu, Sicheng Zhao, Guiguang Ding, Guangming Shi, "Personalized Image Aesthetics Assessment via Meta-learning with Bi-level Gradient Optimization", IEEE Transactions on Cybernetics, 2020. 
  21. Hancheng Zhu, Leida Li*, Jinjian Wu, Weisheng Dong, Guangming Shi, “Generalizable No-Reference Image Quality Assessment via Deep Meta-learning”, IEEE Transactions on Circuits and Systems for Video Technology, Accepted, 2021.
  22. Yu Zhou, Leida Li*, Shiqi Wang, Jinjian Wu, Yuming Fang, Xinbo Gao, "No-reference Quality Assessment for View Synthesis Using DoG-based Edge Statistics and Texture Naturalness", IEEE Transactions on Image Processing, vol. 28, no. 9, pp. 4566-4579, 2019. 
  23. Yu Zhou, Leida Li*, Jinjian Wu, Ke Gu, Weisheng Dong, Guangming Shi,“Blind Quality Index for Multiply Distorted Images Using Biorder Structure Degradation and Nonlocal Statistics", IEEE Transactions on Multimedia, vol. 20, no. 11, pp. 3019-3032, 2018. 
  24. Bo Hu, Leida Li*, Hantao Liu, Weisi Lin, and Jiansheng Qian, "Pairwise Comparison Based Rank Learning for Benchmarking Image Restoration Algorithms", IEEE Transactions on Multimedia, vol. 21, no. 8, pp. 2042-2056, 2019. 
  25. Tong Zhu, Leida Li*, Jufeng Yang, Sicheng Zhao, Hantao Liu, and Jiansheng Qian,“Multimodal Sentiment Analysis With Image-Text Interaction Network”, IEEE Transactions on Multimedia, 2022.  
  26. Tong Zhu, Leida Li*, Jufeng Yang, Sicheng Zhao, Xiao Xiao, "Multimodal Emotion Classification with Multi-level Semantic Reasoning Network", IEEE Transactions on Multimedia, 2022.  
  27. Tianshu Song, Leida Li*, Pengfei Chen, Hantao Liu, Jiansheng Qian, "Blind Image Quality Assessment for Authentic Distortions by  Intermediary Enhancement and Iterative Training", IEEE Transactions on Circuits and Systems for Video Technology, 2022. 
  28. Hancheng Zhu, Yong Zhou, Leida Li*, Yaqian Li, Yandong Guo, "Learning Personalized Image Aesthetics from Subjective and Objective Attributes", IEEE Transactions on Multimedia, vol. 25, pp. 179-190, 2023.
  29. Yuming Fang, Jiebin Yan, Leida Li*, Jinjian Wu, Weisi Lin, "No Reference Quality Assessment for Screen Content Images with Both Local and Global Feature Representation", IEEE Transactions on Image Processing, vol. 27, no. 4, pp. 1600-1610, 2018. 
  30. Yuming Fang, Rengang Du, Yifan Zuo, Wenying Wen, Leida Li*, "Perceptual Quality Assessment for Screen Content Images by Spatial Continuity", IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 11, pp. 4050-4063, 2020.
  31. Yuming Fang, Jiebin Yan, Rengang Du, Yifan Zuo, Wenying Wen, Yan Zeng, Leida Li*, "Blind Quality Assessment for Tone-Mapped Images by Analysis of Gradient and Chromatic Statistics", IEEE Transactions on Multimedia, 2020.
  32. Ke Gu, Leida Li, Hong Lu, Xiongkuo Min, Weisi Lin, "A Fast Reliable Image Quality Predictor by Fusing Micro- and Macro-structures", IEEE Transactions on Industrial Electronics, vol. 64, no. 5, pp. 3903- 3912, 2017. 
  33. Jinjian Wu, Leida Li, Weisheng Dong, Guangming Shi, Weisi Lin, C.-C. Jay Kuo, "Enhanced Just Noticeable Difference Model for Images with Pattern Complexity", IEEE Transactions on Image Processing, vol. 26, no. 6, pp. 2682-2693, 2017. 
  34. Jingyuan Yang, Jie Li, Leida Li, Xiumei Wang, Yuxuan Ding, Xinbo Gao, "Seeking Subjectivity in Visual Emotion Distribution Learning", IEEE Transactions on Image Processing, 2022.
  35. Weisheng Dong, Jinjian Wu, Leida Li, Guangming Shi, Xin Li, “Bayesian Deep Learning for Image Reconstruction: from Sparse Coding to Uncertainty Modeling”, IEEE Signal Processing Magazine, 2022.
  36. Jingyuan Yang, Xinbo Gao, Leida Li, Xiumei Wang, Jinshan Ding, "SOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network", IEEE Transactions on Image Processing, vol. 30, pp. 8686-8701, 2021.
  37. Guanghui Yue, Di Cheng, Leida Li, Tianwei Zhou, Hantao Liu, Tianfu Wang, "Semi-Supervised Authentically Distorted Image Quality Assessment with Consistency-Preserving Dual-Branch Convolutional Neural Network", IEEE Transactions on Multimedia, 2022. 
  38. Yongxu Liu, Jinjian Wu, Leida Li, Weisheng Dong, Jinpeng Zhang, Guangming Shi, "Spatiotemporal Representation Learning for Blind Video Quality Assessment", IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2021.3114509, 2021.
  39. Yongxu Liu, Jinjian Wu, Leida Li, Weisheng Dong, Guangming Shi, "Quality Assessment of UGC Videos Based on Decomposition and Recomposition", IEEE Transactions on Circuits and Systems for Video Technology, 2022.
  40. Jupo Ma, Jinjian Wu, Leida Li, Weisheng Dong, Xuemei Xie, Guangming Shi,  Weisi Lin, “Blind Image Quality Assessment With Active Inference”, IEEE Transactions on Image Processing, Accepted, 2021.
  41. Yu Zhou, Yanjing Sun, Leida Li, Ke Gu, Yuming Fang, "Omnidirectional Image Quality Assessment by Distortion Discrimination Assisted Multi-Stream Network", IEEE Transactions on Circuits and Systems for Video Technology, Accepted, 2021. 
  42. Jinjian Wu, Chuanwei Ma, Leida Li, Weisheng Dong, and Guangming Shi, “Probabilistic Undirected Graph Based Denoising Method for Dynamic Vision Sensor”, IEEE Transactions on Multimedia, DOI: DOI 10.1109/TMM.2020.299395, 2020.
  43. Khosro Bahrami, Alex C. Kot, Leida Li, Haoliang Li, "Blurred Image Splicing Localization by Exposing Blur Type Inconsistency", IEEE Transactions on Information Forensics and Security, vol. 10, no. 5, pp. 999-1009, 2015. 
  44. Xiangling Ding, Ningbo Zhu, Leida Li, Yue Li, Gaobo Yang, "Robust Localization of Interpolated Frames by Motion-compensated Frame-interpolation Based on Artifact Indicated Map and Tchebichef Moments", IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 7, pp. 1893-1906, 2019.  
  45. Zhiwen Chen, Jinjian Wu, Junhui Hou, Leida Li, Weisheng Dong, Guangming Shi, "ECSNet: Spatio-Temporal Feature Learning for Event Camera", IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2022.3202659, 2022. 
  46. Wen Yang, Jinjian Wu, Shiwei Tian, Leida Li, Weisheng Dong, Guangming Shi, "Fine-grained Image Quality Caption with Hierarchical Semantics Degradation", IEEE Transactions on Image Processing, 2022.
  47. Yongxu Liu, Jinjian Wu, Aobo Li, Leida Li, Weisheng Dong, Guangming Shi, Weisi Lin, "Video Quality Assessment with Serial Dependence Modeling", IEEE Transactions on Multimedia, accepted, 2021.
  48. Tao Huang, Weisheng Dong, Jinjian Wu, Leida Li, Xin Li, Guangming Shi, "Deep Hyperspectral Image Fusion Network with Iterative Spatio-Spectral Regularization", IEEE Transactions on Computational Imaging, 2022. 
  49. Yu Zhou, Weikang Gong, Yanjing Sun, Leida Li, Jinjian Wu, Xinbo Gao, "Pyramid Feature Aggregation for Hierarchical Quality Prediction of Stitched Panoramic Images", IEEE Transactions on Multimedia, 2022.
  50. Xiaotong Lu , Weisheng Dong , Xin Li , Jinjian Wu , Leida Li , Guangming Shi, "Adaptive Search-and-Training for Robust and Efficient Network Pruning", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. 
  51. Lu Sun, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi, “Deep Maximum a Posterior Estimator for Video Denoising”, International Journal of Computer Vision, DOI: 10.1007/s11263-021-01510-7, 2021.
  52. Qian Ning, Weisheng Dong, Guangming Shi, Leida Li, Xin Li, "Accurate and Lightweight Image Super-Resolution with Model-Guided Deep Unfolding Network", IEEE Journal of Selected Topics in Signal Processing, DOI: 10.1109/JSTSP.2020.3037516, 2020. 
  53. Guangcheng Wang, Zhongyuan Wang, Ke Gu, Leida Li, Zhifang Xia, Lifang Wu, "Blind Quality Metric of DIBR-Synthesized Images in the Discrete Wavelet Transform Domain", IEEE Transactions on Image Processing, vol. 29, pp. 1802-1814, 2019.
  54. Yabin Zhang, Yuming Fang, Weisi Lin, Xinfeng Zhang, Leida Li,“Backward Registration Based Aspect Ratio Similarity for Image Retargeting Quality Assessment",  IEEE Transactions on Image Processing, vol. 25, no. 9, pp. 4286-4297, 2016. 
  55. Xiaohan Yang, Fan Li, Leida Li, Ke Gu, Hantao Liu, "Study of Natural Scene Categories in Measurement of Perceived Image Quality", IEEE Transactions on Instrumentation and Measurement, 2022. 
  56. Sadbhawna, Vinit Jakhetiya, Badri N. Subudhi, Sunil P. Jaiswal, Leida Li, Weisi Lin, “Context Region Identification based Quality Assessment of 3D Synthesized Views”, IEEE Transactions on Multimedia, DOI 10.1109/TMM.2022.3206660, 2022.
  57. Pengfei Guo, Hantao Liu, Delu Zeng, Tao Xiang, Leida Li, Ke Gu, "An Underwater Image Quality Assessment Metric", IEEE Transactions on Multimedia, DOI: 10.1109/TMM.2022.3187212, 2022.
  58. Miaohui Wang, Yijing Huang, Jiaxin Lin, Wuyuan Xie, Guanghui Yue, Shiqi Wang, Leida Li, “Quality Measurement of Screen Images via Foreground Perception and Background Suppression”, IEEE Transactions on Instrumentation and Measurement, vol. 70 , pp. 1-11, 2021.
  59. Leida Li, Xi Chen, Jinjian Wu, Shiqi Wang, Guangming Shi, “No-reference Quality Index of Depth Images Based on Statistics of Edge Profiles for View Synthesis”, Information Sciences, vol. 516, pp. 205-219, 2020.
  60. Leida Li, Shushang Li, Ajith Abraham, Jeng-Shyang Pan, “Geometrically Invariant Image Watermarking Using Polar Harmonic Transforms”, Information Sciences, vol. 199, pp. 1-19, 2012. [Code]
  61. Leida Li, Xiaoping Yuan, Zhaolin Lu, Jeng-Shyang Pan, “Rotation Invariant Watermark Embedding Based on Scale-adapted Characteristic Regions”, Information Sciences, vol. 180, no. 15, pp. 2875-2888, 2010.
  62. Leida Li, Tianwu Zhi, Guangming Shi, Yuzhe Yang, Liwu Xu, Yaqian Li, Yandong Guo, "Anchor-based Knowledge Embedding for Image Aesthetics Assessment", Neurocomputing, vol. 539, 126197, 2023.
  63. Leida Li, Yu Zhou, Weisi Lin, Jinjian Wu, Xinfeng Zhang, Beijing Chen, "No-reference quality assessment of deblocked images", Neurocomputing, vol. 177, pp. 572-584, 2016. 
  64. Pengfei Chen, Leida Li*, Xinfeng Zhang, Shanshe Wang, Allen Tan, “Blind Quality Index for Tone-mapped Images Based on Luminance Partition”, Pattern Recognition, vol. 89, pp. 108-118, 2019.
  65. Leida Li, Hancheng Zhu, Gaobo Yang, Jiansheng Qian, “Referenceless Measure of Blocking Artifacts by Tchebichef Kernel Analysis”, IEEE Signal Processing Letters, vol. 21, no. 1, pp. 122-125, 2014. [Code]
  66. Leida Li, Weisi Lin, Hancheng Zhu, “Learning Structural Regularity for Evaluating Blocking Artifacts in JPEG Images”, IEEE Signal Processing Letters, vol. 21, no. 8, pp. 918-922, 2014. [Code]
  67. Tianshu Song, Leida Li*, Hancheng Zhu, Jiansheng Qian, "IE-IQA: Intelligibility Enriched Generalizable No-reference Image Quality Assessment", Frontiers in Neuroscience, 2021.
  68. Yipo Huang, Leida Li*, Hancheng Zhu, Bo Hu, "Blind Quality Index of Depth Images Based on Structural Statistics for View Synthesis", IEEE Signal Processing Letters, 2020. 
  69. Pengfei Chen, Leida Li*, Qingbo Wu, Jinjian Wu, "SPIQ: A Self-supervised Pre-trained Model for Image Quality Assessment",  IEEE Signal Processing Letters, 2022.
  70. Hancheng Zhu, Leida Li*, Sicheng Zhao, Hongyan Jiang, “Evaluating Attributed Personality Traits from Scene Perception Probability”, Pattern Recognition Letters, vol. 116, pp. 121-126, 2018.
  71. Hancheng Zhu, Leida Li*, Hongyan Jiang, Allen Tan, “Inferring Personality Traits from Attentive Regions of User Liked Images via Weakly Supervised Dual Convolutional Network”, Neural Processing Letters, DOI: 10.1007/s11063-019-09987-7, 2019. 
  72. Yuanyang Wang, Yihua Huang, Xiumin Chen, Leida Li*, Guangming Shi, “Modeling Content-Attribute Preference for Personalized Image Aesthetics Assessment", Image and Vision Computing, 2022.

Conference Papers:

  1. Hancheng Zhu, Leida Li*, Jinjian Wu, Weisheng Dong, Guangming Shi,“MetaIQA: Deep Meta-learning for No-Reference  Image Quality Assessment", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 14131-14140, 2020. [PDF] [CODE](CCF A)
  2. Pengfei Chen, Leida Li*, Jinjian Wu, Weisheng Dong, Guangming Shi,“Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment”, International Conference on Computer Vision (ICCV), pp. 5178-5187, Oct. 11-17, 2021. (CCF A)
  3. Pengfei Chen, Leida Li*, Lei Ma, Jinjian Wu, Guangming Shi, “RIRNet: Recurrent-In-Recurrent Network for Video Quality Assessment", ACM International Conference on Multimedia (ACM MM), pp. 834-842, 2020. (CCF A, Oral)
  4. Sicheng Zhao, Zizhou Jia, Hui Chen, Leida Li*, Guiguang Ding, Kurt Keutzer, “PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression", ACM International Conference on Multimedia (ACM MM), pp. 192-201, Nice, France, October 21-25, 2019. (CCF A)
  5. Yuzhe Yang, Liwu Xu, Leida Li, Nan Qie, Yaqian Li, Peng Zhang, Yandong Guo, “Personalized Image Aesthetics Assessment with Rich Attributes”, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (CCF A)
  6. Jingyuan Yang, Jie Li, Leida Li, Xiumei Wang, Xinbo Gao, "A Circular-Structured Representation for Visual Emotion Distribution Learning", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. (CCF A)
  7. Yufan Zhu, Weisheng Dong, Leida Li, Jinjian Wu, Xin Li, Guangming Shi, "Robust Depth Completion with Uncertainty-Driven Loss Functions", AAAI Conference on Artificial Intelligence (AAAI), 2022. (CCF A)
  8. Wen Yang, Jinjian Wu, Leida Li, Weisheng Dong, Guangming Shi, "Image Quality Caption with Attentive and Recurrent Semantic Attractor Network", ACM International Conference on Multimedia (ACM MM), Accepted, October 20-24, 2021. (CCF A)
  9. Jinjian Wu, Yongxu Liu, Leida Li, Weisheng Dong, Guangming Shi, "No-Reference Video Quality Assessment with Heterogeneous Knowledge Ensemble", ACM International Conference on Multimedia (ACM MM),  Accepted, October 20-24, 2021. (CCF A)
  10. Huachen Fang, Jinjian Wu, Leida Li, Junhui Hou, Weisheng Dong, Guangming Shi, "AEDNet: Asynchronous Event Denoising with Spatial-Temporal Correlation among Irregular Data", ACM International Conference on Multimedia (ACM MM), 2022(CCF A)
  11. Wen Yang, Jinjian Wu, Jupo Ma, Leida Li, Weisheng Dong, Guangming Shi, "Learning for Motion Deblurring with Hybrid Frames and Events", ACM International Conference on Multimedia (ACM MM), 2022(CCF A)
  12. Zhou Yang, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi, "Self-Feature Distillation with Uncertainty Modeling for Degraded Image Recognition", European Conference on Computer Vision (ECCV), 2022. (CCF A)
  13. Zhenxuan Fang, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi, "Uncertainty Learning in Kernel Estimation for Multi-Stage Blind Image Super-Resolution", European Conference on Computer Vision (ECCV)2022. (CCF A)
  14. Yaohui Li, Yuzhe Yang, Huaxiong Li, Haoxing Chen, Liwu Xu, Leida Li, Yaqian Li, Yandong Gu, "Transductive Aesthetic Preference Propagation for Personalized Image Aesthetics Assessment", ACM International Conference on Multimedia (ACM MM), 2022(CCF A)
  15. Liuyu Xiang, Xiaoming Jin, Guiguang Ding, Jungong Han, Leida Li, “Incremental Few-shot Learning for Pedestrian Attribute Recognition”,  International Joint Conference on Artificial Intelligence (IJCAI), pp. 3912-3918, Macao, China, August 10-16, 2019. (CCF A)
  16. Leida Li, Xi Chen, Yu Zhou, Jinjian Wu, Guangming Shi, “Depth Image Quality Assessment for View Synthesis Based on Weighted Edge Similarity”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 17-25, Long Beach, CA, USA, June 16-20, 2019.
  17. Leida Li, Yuzhe Yang, Hancheng Zhu,“Naturalness Preserved Image Aesthetic Enhancement with Perceptual Encoder Constraint”, ACM International Conference on Multimedia Retrieval (ICMR), pp. 364-372, Ottawa, Canada, June 10-13, 2019. (CCF B, Oral)
  18. Leida Li, Jiachen Duan, Yuzhe Yang,  Liwu Xu, Yaqian Li, Yandong Guo, “Psychology Inspired Model for Hierarchical Image Aesthetic Attribute Prediction”, IEEE International Conference on Multimedia and Expo (ICME)2022. (CCF B)
  19. Leida Li, Hancheng Zhu, Sicheng Zhao, Guiguang Ding, Hongyan Jiang, Allen Tan, “Personality Driven Multi-task Learning for Image Aesthetic Assessment”, IEEE International Conference on Multimedia and Expo (ICME), pp. 430-435, Shanghai, China, July 8-12, 2019. (CCF B, Oral)
  20. Tong Zhu, Leida Li*, Pengfei Chen, Jinjian Wu, Yuzhe Yang, Yaqian Li, Yandong Guo, “Attribute-assisted Multimodal Network for Image Aesthetics Assessment”, IEEE International Conference on Multimedia and Expo (ICME),2023. (CCF B)
  21. Jupo Ma, Jinjian Wu, Leida Li, Weisheng Dong, Xuemei Xie, "Active Inference of GAN for No-Reference Image Quality Assessment", IEEE International Conference on Multimedia and Expo (ICME), 2020. Oral
  22. Pengfei Chen, Leida Li*, Yipo Huang, Allen Tan, Russell Chen, “QoE Evaluation for Live Broadcasting Video”, IEEE International Conference on Image Processing (ICIP), pp. 454-458, Taipei, Taiwan, September 22-25, 2019.
  23. Bo Hu, Leida Li*, Jiansheng Qian, “Internal Generative Mechanism Driven Blind Quality Index for Deblocked Images”, IEEE International Conference on Image Processing (ICIP), pp. 2476-2480, Athens, Greece, October7-10, 2018.
  24. Zhuo Chen, Weisi Lin, Shiqi Wang, Long Xu, Leida Li, “Image Quality Assessment Based Label Smoothing in Deep Neural Network Learning”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6742-6746, Calgary, Canada, April 15-20, 2018.
  25. Guangcheng Wang, Leida Li*, Qiaohong Li, Ke Gu, Zhaolin Lu, Jiansheng Qian, “Perceptual Evaluation of Single-image Super-resolution Reconstruction”, IEEE International Conference on Image Processing (ICIP), pp. 3145-3149, Beijing, China, September 17-20, 2017.
  26. Yu Zhou, Leida Li, Ke Gu, Yuming Fang, Weisi Lin, “Quality Assessment of 3D Synthesized Images via Disoccluded Region Discovery”, IEEE International Conference on Image Processing (ICIP), pp. 1012-1016, Phoenix, USA, September 25-28, 2016. Oral
  27. Bo Hu, Leida Li, Jiansheng Qian, Yuming Fang, “Perceptual Evaluation of Compressive Sensing Image Recovery”, International Conference on Quality of Multimedia Experience (QoMEX), pp. 1-6, Lisbon, Portugal, June 6-8, 2016. Oral
  28. Haoliang Li, Alex C. Kot, Leida Li, “Color Space Identification from Single Images”, IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1774-1777, Montréal, Canada, May 22-25, 2016.
  29. Shaode Yu, Fan Jiang, Leida Li, Yaoqin Xie, “CNN-GRNN for Image Sharpness Assessment”, Asian Conference on Computer Vision (ACCV) Workshops, pp. 50-61, Taipei, Taiwan, November 20-24, 2016.
  30. Yabin Zhang, Weisi Lin, Xinfeng Zhang, Yuming Fang, Leida Li, “Aspect Ratio Similarity (ARS) for Image Retargeting Auality Assessment”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), PP. 1080-1084, Shanghai, China, March 20-25, 2016.
  31. Leida Li, Xuewei Wang, Wei Zhang, Gaobo Yang, Guozhang Hu, “Detecting Removed Object from Video with Stationary Background”, International Workshop on Digital Watermarking (IWDW), pp. 242-252, Shanghai, China, October 31-November 3, 2012. Oral
  32. Leida Li, Jiansheng Qian, Jeng-Shyang Pan, “High Capacity Watermark Embedding Based on Local Invariant Features”, IEEE International Conference on Multimedia and Expo (ICME), pp. 1311-1314, Singapore, July 19-23, 2010. Oral
  33. Leida Li, Baolong Guo, Jeng-Shyang Pan, Liu Yang. “Scale-space Feature Based Image Watermarking in Contourlet Domain”, International Workshop on Digital Watermarking (IWDW), pp. 88-102, Busan, Korea, November 10-12, 2009. Oral