西安电子科技大学人工智能学院导师教师师资介绍简介-李雷达

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基本信息
李雷达，教授、博导/硕导

博士学科：
计算机科学与技术（081200）
硕士学科：
计算机科学与技术（081200）
电子与通信工程（085208）
计算机技术（085211）
工作单位：人工智能学院/广州研究院

研究方向
模式识别与人工智能
图像与视频质量评价
计算美学
视觉情感分析
多媒体信息安全

Demo
1.视频QoE评价
/ldli/files/5f94d27c1ca14.mp4
2. 图像美学评价
/ldli/files/5f94c9a021cf4.mp4
3. 美学构图推荐
/ldli/files/5f94d20d97ec2.mp4
4. 扫描图像增强
/ldli/files/5f94d29ab880a.mp4
5.语音智能导购
/ldli/files/608d5b7656d44.mp4

联系方式
Email: ldli@xidian.edu.cn
地址: 北校区主楼III区-111

个人简介
2004年、2009年分别获西安电子科技大学学士、博士学位；2008年2月至6月，台湾高雄科技大学研究助理；2014年1月至2015年1月，新加坡南洋理工大学访问****；2016年7月至2017年7月，新加坡南洋理工大学高级研究员。2009年7月至2019年6月，工作于中国矿业大学信息与控制工程学院，任讲师、副教授、教授；现为西安电子科技大学人工智能学院教授、博士生导师，入选陕西省高层次人才引进计划、西安电子科技大学"华山****"学术菁英人才、江苏省“青蓝工程”中青年学术带头人、江苏省“六大人才高峰”高层次人才、江苏省“企业创新岗”特聘专家等。现为国际期刊Journal of Visual Communication and Image Representation和EURASIP Journal on Image and Video Processing编委，中国人工智能学会会刊《CAAI Transactions on Intelligence Technology》青年编委，中国图象图形学会会刊《中国图象图形学报》青年编委，VALSE第五届执行AC，IEEE/CCF/CAAI/CSIG会员，CCF多媒体专委会/CAAI深度学习专委会/CSIG图像视频通信专委会委员。
在IEEE TIP、TCYB、TMM、TCSVT、TIE、TIFS、CVPR、ACMMM、IJCAI等国内外学术期刊和国际会议上发表学术论文100余篇，其中中科院1、2区国际期刊和CCF-A类国际会议论文40余篇，Google学术引用3200余次, H指数32，SCI他引1000余次；出版专著1部；主持国家自然科学基金项目3项，江苏省自然科学基金面上项目，中国博士后科学基金特别资助项目，腾讯公司委托项目等各类项目20余项；获省部级科研成果奖励4项，包括陕西省自然科学奖一等奖、山西省科学技术奖二等奖等；获得国家发明专利15项。在图像与视频质量评价方向的研究成果应用于腾讯会议等产品中。

最新动态
?2021.06.09：3项国家发明专利授权：无参考视频质量评估方法、系统、视频接收器、智能终端，一种用于评价视角合成图像质量的方法，一种基于弱监督学习的用户性格预测装置及方法
?2021.05.26：一篇论文被《中国图象图形学报》录用
?2021.05.13：一篇论文被IEEE Transactions on Circuits and Systems for Video Technology录用
?2021.04.11：一篇论文被IEEE Transactions on Circuits and Systems for Video Technology录用
? 2021.03.24: 研究成果“图像质量评价及内容重建方法与技术”获得2020年陕西省自然科学奖一等奖
? 2021.03.01: 一篇论文被CVPR 2021录用
? 2021.03.01: 一篇论文被IEEE Transactions onImage Processing录用
? 2021.02.14: 一篇论文被IEEE Transactions onImage Processing录用
?2020.12.09：与新加坡南洋理工大学Weisi Lin教授联合申报的ICASSP 2021讲习班（Tutorial）申请被接受，会议将于2021年6月在加拿大多伦多举办，主题：Assessment of Visual Signals: From TechnicalQuality to Aesthetic Quality
?2020.12.06：受邀担任《中国图象图形学报》青年编委
?2020.10.22：在中国计算机大会（杭州）论坛做题为“虚拟视角合成质量评价”的学术报告
?2020.10.21：受山东师范大学信息学院邀请，做题为“个性化图像美学评价”的在线学术报告
?2020.10.09：在华南理工大学做题为“图像质量客观评价”的学术报告
?2020.09.20：在中国多媒体大会（China MM）青年专题论坛做题为“图像感知评价：从质量到美学”的报告
?2020.09.14：一篇论文被IEEE Transactions on Circuits and Systems for Video Technology录用
?2020.08.06：一篇论文被IEEE Transactions on Multimedia录用
?2020.07.26：一篇论文被ACM Multimedia录用，CCF A类会议，录用率~27.8% (472/1698)
?2020.06.30：研究成果获陕西省电子学会自然科学奖一等奖
?2020.06.20：到华为西研所交流，并做“图像美学评价”的报告
?2020.06.12：华为海思技术合作部、华为西研所合作部一行访问实验室进行合作交流
?2020.05.27：在VALSE Webinar（20-13期）做题为“个性化图像美学评价”的在线学术报告
?2020.05.12：一篇论文被IEEE Transactions on Multimedia录用
?2020.04.26：入选中国人工智能学会会刊CAAI Transactions on Intelligence Technology青年编委
?2020.04.26：一篇论文被IEEE Transactions on Multimedia录用
?2020.04.17：两篇论文入选ESI高被引论文（IEEE TCYB 2016, IEEE TIE 2017），SCI引用分别为141次和84次
?2020.04.15：一篇论文被IEEE Signal Processing Letters录用
?2020.04.12：一篇论文被IEEE Transactions on Multimedia录用
?2020.03.28：一篇论文被IEEE Transactions on Cybernetics录用
?2020.03.22：一篇论文被Signal Processing: Image Communication录用
?2020.03.06：团队提出的“实时视频QoE无参考评估方法”应用于腾讯公司的腾讯会议中，该算法为2019年团队与腾讯公司产学研合作项目的重要研究成果。
? 2020.03.06：一篇论文被ICME 2020录用为Oral，录用率~30%
?2020.03.05：一篇论文被IEEE Transactions onMultimedia录用
? 2020.02.24: 一篇论文被CVPR 2020录用，录用率~22%
? 2020.01.16: 一篇论文被IEEE Transactions onImage Processing录用

期刊论文：
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.
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. [Code]
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.[Code]ESI热点论文/高被引论文
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.
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. [Code]
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. [Code]
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. [Code]
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.
Leida Li, Yixuan Li, Jijian Wu, Lin Ma, Yuming Fang, "Quality Evaluation for Image Retargeting with Instance Semantics", IEEE Transactions on Multimedia, DOI: 10.1109/TMM.2020.**, 2020.
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.
Pengfei Chen, Leida Li*(Corresponding author), 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.
Hancheng Zhu, Leida Li*(Corresponding author), Jinjian Wu, Sicheng Zhao, Guiguang Ding, Guangming Shi, "Personalized Image Aesthetics Assessment via Meta-learning with Bi-level Gradient Optimization", IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2020.**, 2020.
Hancheng Zhu, Leida Li*(Corresponding author), 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, DOI: 10.1109/TCSVT.2021.**, 2021.
Yu Zhou,Leida Li*(Corresponding author),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.
Yu Zhou,Leida Li*(Corresponding author), 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.
Bo Hu,Leida Li*(Corresponding author), 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. [Code]
Yuming Fang, Jiebin Yan,Leida Li*(Corresponding author), 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.
Yuming Fang, Rengang Du, Yifan Zuo, Wenying Wen, Leida Li*(Corresponding author), "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.
Yuming Fang, Jiebin Yan, Rengang Du, Yifan Zuo, Wenying Wen, Yan Zeng, Leida Li*(Corresponding author), "Blind Quality Assessment for Tone-Mapped Images by Analysis of Gradient and Chromatic Statistics", IEEE Transactions on Multimedia, vol. 23, pp. 955-966, 2020.
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. ESI高被引论文
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.
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, vol. 30, pp. 3650-3663, 2021.
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, DOI: 10.1109/TCSVT.2021.**, 2021.
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.
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.
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.
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, vol.15, no. 2, pp. 240-252, 2021.
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.
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.
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.
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]
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.
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. ESI高被引论文
Pengfei Chen,Leida Li*(Corresponding author),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.
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]
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]
Yipo Huang,Leida Li*(Corresponding author), Hancheng Zhu, Bo Hu, "Blind Quality Index of Depth Images Based on Structural Statistics for View Synthesis",IEEE Signal Processing Letters, 2020.
Hancheng Zhu, Leida Li*(Corresponding author), Sicheng Zhao, Hongyan Jiang, “Evaluating Attributed Personality Traits from Scene Perception Probability”, Pattern Recognition Letters, vol. 116, pp. 121-126, 2018.
Hancheng Zhu, Leida Li*(Corresponding author), 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.
李雷达，郭宝龙，武晓玥, “一种新的空域抗几何攻击图像水印算法”, 《自动化学报》， 34(10): 1235-1242, 2008.
李雷达，郭宝龙，表金峰, “基于奇偶量化的空域抗几何攻击图像水印算法”, 《电子与信息学报》，31(1): 134-138, 2009.
李雷达，郭宝龙, “基于伪Zernike矩的自适应RST不变水印”，《西安电子科技大学学报》，34(1): 38-42, 2007.
祝汉城，周勇*，李雷达*，赵佳琦，杜文亮，个性化图像美学评价的研究进展与趋势，《中国图象图形学报》，2021.

会议论文：
Hancheng Zhu, Leida Li*(Corresponding author), Jinjian Wu, Weisheng Dong, Guangming Shi, “MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment",IEEE Conference on Computer Vision andPattern Recognition (CVPR), pp. 14131-14140, 2020. [PDF][CODE]（CCF A类）
Pengfei Chen, Leida Li*(Corresponding author), 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类, Oral）
Sicheng Zhao, Zizhou Jia, Hui Chen, Leida Li*(Corresponding author), 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类）
Jingyuan Yang, Jie Li, Leida Li, Xiumei Wang, Xinbo Gao, “A Circular-Structured Representation for Visual Emotion Distribution Learning”, IEEE Conference on Computer Vision andPattern Recognition (CVPR), Accepted, 2021.（CCF A类）
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类）
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.
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类,Oral)
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类,Oral)
Pengfei Chen, Leida Li*( Corresponding author), 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.
Bo Hu, Leida Li*( Corresponding author), 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.
Guangcheng Wang, Leida Li*( Corresponding author), 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.
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
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
Leida Li, Xuewei Wang, Wei Zhang, Gaobo Yang, Guozhang Hu, “Detecting Removed Object from Video with Stationary Background”, International Workshop on Digital Forensics and Watermarking (IWDW), pp. 242-252, Shanghai, China, October 31-November 3, 2012.Oral
Leida Li, Jiansheng Qian, Jeng-Shyang Pan, “High Capacity Watermark Embedding Based on Local Invariant Features”, IEEE International Conference on Multimedia & Expo (ICME), pp. 1311-1314, Singapore, July 19-23, 2010. Oral
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

科学研究
代表科研项目：
2018.01-2021.12，面向虚拟视角合成的客观质量评价方法及其应用研究，国家自然科学基金面上项目，主持
2014.01-2017.12，对象级视频修复与合成篡改检测关键技术研究，国家自然科学基金面上项目，主持
2009.01-2011.12，基于尺度空间特征的鲁棒数字水印关键技术及新算法研究，国家自然科学基金青年基金项目，主持
2018.07-2021.06，基于图像感知的情感计算关键技术研究，江苏省自然科学基金面上项目，主持
2016.05-2019.05,江苏省“青蓝工程”中青年学术带头人项目，主持
2017.09-2020.08, 江苏省“六大人才高峰”高层次人才项目，主持
2018.09-2019.08，针对实时视频通话的高效无参考评估系统，腾讯，主持
2018.06-2019.05，扫描图像质量增强方法研究与系统研发，深圳小牛动漫科技有限公司，主持

美国发明专利：
程德强，李雷达，刘海，张国鹏，陈伟，刘送永，一种基于光流法的运动目标跟踪方法及系统（Method and system for tracking moving objects based on optical flow method），专利号（美国）：US**B2，授权日期：2019.2.26
程德强，刘海，李雷达，张国鹏，郭星歌，基于随机喷射retinex的视频图像去噪与增强方法及装置（Video image denoising and enhancing method and device based on random spray retinex），专利号（美国）：US**B2，授权日期：2018.5.22
中国发明专利：
李雷达，陈鹏飞，吴金建，石光明，无参考视频质量评估方法、系统、视频接收器、智能终端，专利号：ZL 0.4，申请日期：2020.1.5，授权日期：2021.6.7
李雷达，周玉，吴金建，李甫，石光明，一种用于评价视角合成图像质量的方法，专利号：ZL 1.X，申请日期：2019.4.24，授权日期：2021.5.8
李雷达，祝汉城，李巧月，卢兆林，徐晶晶，一种基于弱监督学习的用户性格预测装置及方法，专利号：ZL 4.2，申请日期：2018.9.6，授权日期：2021.5.8
李雷达，沈威，江红艳，卢兆林，唐璐，汤丽娟，一种评价雾霾图像去雾效果的方法和装置，专利号：ZL 3.X, 申请日期：2017.2.8，授权日期：2019.10.1.
李雷达，周玉，胡波，卢兆林，一种虚拟视角合成视频质量的无参考评价方法，专利号：ZL 7.2，申请日期：2017.6.12，授权日期：2019.4.2
李雷达，吴东，蔡浩，周玉，祝汉城，一种基于稀疏表示的图像清晰度评价方法和装置，专利号：ZL 7.6, 申请日期：2014.7.9，授权日期：2017.4.19
李雷达，祝汉城，钱建生，一种评价图像中块效应的方法及装置，专利号：ZL 6.8，申请日期：2013.7.1，授权日期：2016.2.10
郭宝龙，李雷达，基于图像特征区域的抗几何攻击数字水印方法,专利号：ZL 5.1，申请日期：2007.3.30，授权日期：2009.1.14
汤丽娟，李雷达，顾锞，孙克争，一种对相机图像质量的评价方法与装置，专利号：ZL 9.4，申请日期：2016.3.10，授权日期：2018.7.27
卢兆林，胡晓娟，王晖，李世银，李雷达，一种基于泊松方程的矿物图像对比度调节方法，专利号：ZL 8.4，申请日期：2015.4.22，授权日期：2018.2.2
程德强，刘洋，赵国，张剑英，刘海，李雷达，金玉，一种球面透视投影模型校正参数获取方法，专利号：ZL 9.9，申请日期：2014.8.28，授权日期：2017.1.18
程德强，满广毅，陈刚，王睿，刘洋，郭星歌，李雷达，张剑英，一种基于光流法的运动目标跟踪方法及系统，专利号：ZL 8.X，申请日期：2015.7.1，授权日期：2019.3.5
程德强，寇旗旗，庄银苹，徐祖倩，李璟，姜海龙，钱建生，郭星歌，李雷达，矿井无线分布式视频编码中的关键帧实时选取方法，专利号：ZL 9.4，申请日期：2015.7.1，授权日期：2018.1.30
李雷达，祝汉城，吴金建，石光明，基于元学习的无参考图像质量数据处理方法、智能终端，申请号：CN6.8，申请日期：2019.9.6
李雷达，黄一珀，吴金建，石光明，基于统计特征视角合成质量预测方法、信息数据处理终端，申请号：CN1.3，申请日期：2019.11.8
李雷达，李祎璇，雷杨，吴金建，石光明，一种基于实例分割的重定向图像质量信息处理方法及系统，申请号：CN5.7，申请日期：2019.10.24
李雷达，祝汉城，吴金建，石光明，基于元学习个性化图像信息评价方法、信息数据处理终端，申请号：CN1.7，申请日期：2019.9.2
李雷达，祝汉城，周玉，胡波，陈鹏飞，一种基于性格特征的个性化图像美学评价方法，申请号：CN6.7，申请日期：2019.1.4
李雷达，陈曦，卢兆林，周玉，祝汉城，胡波，一种基于自然场景统计的深度图像质量无参考评价方法，申请号：CN1.9，申请日期：2018.1.24
李雷达，张俊升，一种面部美化感知质量的无参考评价方法，申请号：CN4.8，申请日期：2019.1.30
李雷达，周玉，卢兆林，一种面向视角合成的无参考图像质量评价方法, 申请号：CN0.X，申请日期：2017.12.22
李雷达，李巧月，卢兆林，周玉，胡波，祝汉城，一种基于暗通道的扫描电镜图像清晰度无参考评价方法，申请号：CN7.2，申请日期：2018.1.17
李雷达，胡波，周玉，一种压缩感知恢复图像的无参考质量评价方法，申请号：CN0.X，申请日期：2017.2.22
周玉，李雷达，卢兆林，一种多失真图像质量的无参考评价方法，申请号：CN5.7，申请日期：2017.12.15
视频质量评估方法、装置、电子设备及计算机存储介质，申请号：CN7.1，申请日期：2019.9.24
一种视频质量评估的方法、模型训练的方法及装置，申请号：CN1.4，申请日期：2019.9.12

荣誉获奖
荣誉称号：
1. 2018年，陕西省高层次人才引进计划
2. 2018年，西安电子科技大学“华山****”学术菁英人才
3. 2017年，江苏省“六大人才高峰”高层次人才
4. 2016年，江苏省“青蓝工程”中青年学术带头人
5. 2016年，江苏省“企业创新岗”特聘专家（科技副总）
6. 2018年，中国矿业大学“科研育人”先进个人
7. 2016年，中国矿业大学“十佳青年教职工”
8. 2015年，中国矿业大学青年学术带头人
9. 2012年，中国矿业大学优秀青年骨干教师
10. 2010年，西安电子科技大学优秀博士论文
11. 2004年，陕西省优秀毕业生

科研获奖：
1.2020年，陕西省自然科学奖，一等奖，排名第3
2. 2016年，山西省科学技术奖，二等奖，排名第3
3. 2012年，江苏省科学技术奖，三等奖，排名第3
4. 2015年，江苏省科学技术奖，三等奖，排名第5
5. 2015年，中国煤炭工业科学技术奖，一等奖，排名第3
6. 2015年，中国煤炭工业科学技术奖，二等奖，排名第2
7. 2014年，中国煤炭工业科学技术奖，三等奖，排名第3
8. 2013年，中国电子学会科学技术奖，三等奖，排名第2

招生信息
招生学科：
博士：计算机科学与技术（081200）
硕士：计算机科学与技术（081200）、计算机技术（085211）、电子与通信工程（085208）
对学生的期望：
1.品质优秀：诚实守信，勤奋踏实，做事严谨认真，精益求精；
2.编程能力：较强的编程能力（Python、C/C++），学科竞赛/程序设计竞赛获奖者优先；
3.英语能力：熟练阅读英文文献，有较强的英文写作能力；
4.科研热情：对学术研究有浓厚的兴趣，善于独立思考和创新思维。
欢迎保研、优研、普通报考，请先通过Email与我取得联系哦！
Email：ldli@xidian.edu.cn

科研团队
西安电子科技大学人工智能学院“成像与类脑感知”团队：
带头人：石光明教授
团队多年来面向国家重大战略需求和国际学术前沿，深耕人工智能理论及其相关工程应用领域，探索计算成像、类脑智能视觉感知、脑机混合增强智能、新一代深度学习理论与算法、图像视频建模与分析、无人驾驶等关键技术和学科前沿，开展了一系列具有开创性和前瞻性的研究工作，旨在推动脑机接口技术与人工智能的交叉研究。团队现有专职研究人员14名，其中教授7名、副教授7名，博师生导师10人，硕士生导师14人。包括教育部“****”****、陕西省教学名师、“青年****”、“****”青年拔尖人才、国家“优青”、教育部新世纪优秀人才计划入选者、陕西省特支计划青年科技领军人才、陕西省高层次人才引进计划人才、陕西省高校青年杰出人才、霍英东青年教师基金获得者、陕西省科技新星、陕西省青年人才托举计划、中国电子学会青年人才托举、华山****领军人才、华山****菁英人才等高层次人才20人次。另有兼职人员两名：林维斯（新加坡南洋理工大学、入选陕西省“****”、海外名师、华山****讲座教授）、李小俚（北京师范大学、入选陕西省“****”）。
团队多年来在“千万级”基础加强项目、国家重点研发计划、国家自然科学基金重点项目、国家自然科学基金重大项目、国家自然科学基金仪器专项、优青基金、面上项目、高分重大专项等项目的支持下，聚焦类脑视觉感知、计算成像、脑机混合增强智能等关键技术研究，取得了一系列科研成果，发表了包括IEEE会刊（TPAMI，TIP，TCYB，TMM，TSP）、IJCV、Brain Research、Neuroscience Letters、等国际权威期刊、本领域国际顶会CVPR、ICCV、ICML及其它国内外核心期刊/国际会议学术论文合计400余篇。至今，SCI他引约4000次，单篇最高480余次, Google Scholar引用超约8000次，授权发明专利100余项，其中美国授权专利一项。相关研究成果获国际会议最佳论文奖3项，荣获国家级自然科学二等奖1项、省部级科学技术一等奖1项、中国电子学会二等奖1项、国防科技进步奖三等奖1项。
https://aie.xidian.edu.cn/index.html
团队微信公众号：

Profile
Leida Li, Professor
School of Artificial Intelligence
Guangzhou Institute of Technology
Xidian University

Research Interests
Computer vision
Machine learning
Visual quality evaluation
Visual affective anslysis
Multimedia security

Contact Information
Email: ldli@xidian.edu.cn
Address: Room III-111, Main Building

If you truly love nature, you will find beauty everywhere. — Vincent Van Gogh

Introduction
Leida Lireceived the B.Sc. and Ph.D. degrees fromXidian Universityin 2004 and 2009, respectively. From Feb. to Jun. 2008, he was a research associate inNational Kaohsiung University of Science and Technology, Taiwan. From Jan. 2014 to Jan. 2015, he was a Research Fellow with theRapid-rich Object SEarch (ROSE) Lab, School of Electrical and Electronic Engineering,Nanyang Technological University(NTU), Singapore, working with Prof.Alex C. Kotand Prof.Weisi Lin. From Jul. 2016 to Jul. 2017, he was a Senior Research Fellow in ROSE lab, NTU, Singapore. From July 2009 to June 2019, he worked as Lecturer, Associate Professor and Professor, in theSchool of Information and Control Engineering,China University of Mining and Technology, China. Currently, he is a Full Professor with theSchool of Artificial Intelligence,Xidian University, China. He is an Associate Editor ofJournal of Visual Communication and Image Representation(Elsevier) andEURASIP Journal on Image and Video Processing(Springer), Young Associate Editor of CAAI Transactions on Intelligence Technology (CAAI) and Journal of Image and Graphics (CSIG). His research interests include image processing and recognition, multimedia quality assessment, information hiding and image forensics. He has published 100+ papers in these areas with 3200+ citations. He is a member of IEEE and a member of CCF.

News
?2021.05.13: One paperwas accepted by IEEE Transactions on Circuits and Systems for Video Technology
?2021.04.11: One paperwas accepted by IEEE Transactions on Circuits and Systems for Video Technology
? 2021.03.01: One paper was accepted by CVPR 2021
? 2021.03.01: One paper was accepted by IEEE Transactions onImage Processing
? 2021.02.14: One paper was accepted by IEEE Transactions onImage Processing
?2020.12.09：Our tutorial proposal "Assessment of Visual Signals: From Technical Quality to Aesthetic Quality" was accepted by ICASSP 2021 (in collaborate withProf. Weisi Lin, NTU Singapore)
?2020.12.06：Iwas invited to beaYoung Associate Editor forJournal of image and Graphics (JIG)
?2020.10.22：I gave a talk on "Virtual View Synthesis Quality Assessment" in a workshop of CNCC 2020 at Hangzhou
?2020.10.21：I gave an online talk on "Personalized Image Aesthetics Assessment", invited by Shandong Normal Uiversity
?2020.10.09: I gave a talk on "Objective Image Quality Assessment" in South China University of Technology (SCUT)
?2020.09.14: One paperwas accepted by IEEE Transactions on Circuits and Systems for Video Technology
?2020.08.06: One paperwas accepted by IEEETransactionsonMultimedia
?2020.07.26：One paperwas accepted byACM Multimedia 2020,acceptance rate ~27.8%
?2020.06.20：I visited Huawei and gave a talk on image aesthetics assessment
?2020.05.12: One paperwas accepted by IEEETransactionsonMultimedia
?2020.04.26: One paperwas accepted by IEEETransactionsonMultimedia
?2020.04.17: Two papers wereselectedforESI high cited papers（IEEE TCYB 2016, IEEE TIE 2017）
?2020.04.15: One paperwas accepted by IEEESignal Processing Letters
?2020.04.12: One paperwas accepted by IEEETransactionsonMultimedia
?2020.03.28: One paperwas accepted by IEEETransactionsonCybernetics
?2020.03.22: One paperwas accepted by Signal Processing: Image Communication
?2020.03.06: Our real-time video QoE metric was used in Tencent Meeting
?2020.03.06: One paperwas accepted byICME 2020as oral presentation,acceptance rate ~30%
? 2020.03.05: One paperwas accepted by IEEE Transactions onMultimedia
? 2020.02.24: One paper was accepted by CVPR 2020，acceptance rate ~22%
? 2020.01.16: One paper was accepted by IEEE Transactions onImage Processing

Papers
Journal Papers：
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.
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. [Code]
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.[Code]
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.
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. [Code]
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. [Code]
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. [Code]
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.
Leida Li, Yixuan Li, Jijian Wu, Lin Ma, Yuming Fang, "Quality Evaluation for Image Retargeting with Instance Semantics", IEEE Transactions on Multimedia,accepted, 2020.
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.
Pengfei Chen, Leida Li*(Corresponding author), Jinjian Wu, Yabin Zhang, Weisi Lin, "Temporal Reasoning Guided QoE Evaluation for Mobile Live Video Broadcasting", IEEE Transactions on Image Processing, 2021.
Hancheng Zhu,Leida Li*(Corresponding author), 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.
Hancheng Zhu, Leida Li*(Corresponding author), 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.
Yu Zhou,Leida Li*(Corresponding author),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.
Yu Zhou,Leida Li*(Corresponding author), 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.
Bo Hu,Leida Li*(Corresponding author), 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. [Code]
Yuming Fang, Jiebin Yan,Leida Li*(Corresponding author), 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.
Yuming Fang, Rengang Du, Yifan Zuo, Wenying Wen, Leida Li*(Corresponding author), "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.
Yuming Fang, Jiebin Yan, Rengang Du, Yifan Zuo, Wenying Wen, Yan Zeng,Leida Li*(Corresponding author), "Blind Quality Assessment for Tone-Mapped Images by Analysis of Gradient and Chromatic Statistics",IEEE Transactions on Multimedia, 2020.
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.
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.
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.
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.
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.
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.
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.
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.**, 2020.
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.
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.
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.
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]
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.
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.
Pengfei Chen,Leida Li*(Corresponding author),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.
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]
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]
Yipo Huang, Leida Li*(Corresponding author), Hancheng Zhu, Bo Hu, "Blind Quality Index of Depth Images Based on Structural Statistics for View Synthesis", IEEE Signal Processing Letters, 2020.
Hancheng Zhu, Leida Li*(Corresponding author), Sicheng Zhao, Hongyan Jiang, “Evaluating Attributed Personality Traits from Scene Perception Probability”, Pattern Recognition Letters, vol. 116, pp. 121-126, 2018.
Hancheng Zhu, Leida Li*(Corresponding author), 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.
Conference Papers：
Hancheng Zhu, Leida Li*(Corresponding author), Jinjian Wu, Weisheng Dong, Guangming Shi,“MetaIQA: Deep Meta-learning for No-ReferenceImage Quality Assessment",IEEE/CVF Conference on Computer Vision andPattern Recognition (CVPR), 2020. [PDF] [CODE]（CCF A）
Pengfei Chen,Leida Li*(Corresponding author), Lei Ma, Jinjian Wu, Guangming Shi, “RIRNet: Recurrent-In-Recurrent Network for Video Quality Assessment",ACM International Conference on Multimedia (ACM MM), 2020.（CCF A, Oral）
Sicheng Zhao, Zizhou Jia, Hui Chen, Leida Li*(Corresponding author), 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）
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 andPattern Recognition (CVPR), Accepted, 2021. （CCF A）
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）
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.
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)
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)
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
Pengfei Chen, Leida Li*( Corresponding author), 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.
Bo Hu, Leida Li*( Corresponding author), 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.
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.
Guangcheng Wang, Leida Li*( Corresponding author), 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.
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
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
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.
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.
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.
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
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
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

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