Prof. Yong-Jin Liu （刘永进）

Yong-Jin Liu is a tenured Full Professor with the Computer Science Department at Tsinghua University. He obtained his Ph.D. degree in 2004 from Hong Kong University of Science & Technology. His research interests include computational geometry, computer graphics, computer aided design and pattern analysis. 刘永进，清华大学计算机系长聘教授，博士生导师，人机交互与媒体集成研究所所长。国家杰出青年基金获得者（2017）、国家优秀青年基金获得者（2013），入选教育部新世纪人才计划（2011）。 Institute of HCI and Media Integration （人机交互与媒体集成研究所） Department of Computer Science and Technology （计算机科学与技术系） Tsinghua University （清华大学）

To prospective PhD graduates and UG students ( 招聘博后、以及申请推研或实习学生请看本链接 )

Long term recruitment of PostDocs and Research Associates (details in Chinese)

Contact Information

Office: Room 3-530, Information Technology Building (FIT), Tsinghua University.
Email: liuyongjin@tsinghua.edu.cn
Homepage: Github Homepage

Education & Working Experiences

2006.1~present	Tsinghua University, Department of of Computer Science & Technology, Faculty member
2004.1~2006.1	Hong Kong University of Science & Technology, Dept. of Industrial Engineering and Logistics Management, Postdoc Research Associate
2000.1~2003.12	Hong Kong University of Science & Technology, Dept. of Mechanical and Aerospace Engineering, Ph.D student
1998.9~1999.12	Hong Kong University of Science & Technology, Dept. of Mechanical and Aerospace Engineering, M.Phil student
1994.9~1998.7	Tianjin University, Mechano-Electronic, Undergraduate

Research Interests

• Computational Geometry
• Computer Graphics
• Computer Aided Design
• Pattern Analysis

Awards

• Excellent doctoral thesis Advisor Award, Chinese Association for Artificial Intelligence (CAAI), 2022. (中国人工智能学会优秀博士学位论文指导教师奖，2022年)
• The doctoral dissertation of Yi Ran, supervised by Prof. Yong-Jin Liu, receives the prestigious Dimitris N Chorafas Foundation Award.(刘永进教授指导易冉博士的博士学位论文，获得瑞士Chorafas青年研究奖。该奖项于1992年由Dimitris N. Chorafas基金会设立，用于奖励该基金会在欧洲、北美和亚洲等地区的合作大学中遴选出的最优秀的博士学位获得者，以表彰他们在攻读博士学位期间在科学研究方面取得的杰出成绩，是欧洲很有影响力的青年学术奖励之一。该奖项每年在全球范围内奖励约30名32岁以下的青年研究人员，学科领域范围包括数学、物理、化学、生命科学、信息科学、经济管理等。)
• The first prize of Higher Education Teaching Achievement Award of China Society of Image and Graphics in 2022.(2022年度中国图象图形学学会高等教育教学成果奖一等奖，完成人：刘永进、毛爱华、陈俊龙、余旻婧、易冉)
• Best Paper Award, the 13th National Geometric Design & Computing Conference (GDC), 2023.(最佳论文奖，第13届全国几何设计与计算会议（GDC），2023年)
• Best Paper Award, the 12th National Geometric Design & Computing Conference (GDC), 2022.(最佳论文奖，第12届全国几何设计与计算会议 (GDC)，2022年)
• Multi-axis robot-based bioprinting system, winned the MEDTECH prize at 3D Pioneers Challenge, Messe Erfurt, Germany, 2022, The international competition for Additive Manufacturing processes and Advanced Technologies. (科技部官网报道：我国科学家实现生物3D打印技术重要突破。)
• ACM Multimedia 2022, Conversational Head Generation Challenge Award, Third Place
• The Second Class of Beijing Science and Technology Progress Award 2021. (2021年度北京市科学技术进步奖二等奖，排名第四)
• Wu wenjun AI Award: the Second-Class Natural Science Award (吴文俊人工智能科学技术奖自然科学二等奖，完成人：刘永进、王文平、吕琳、余旻婧、辛士庆), Chinese Association for Artificial Intelligence (CAAI), 2021.
• 2021 Excellent Doctoral Thesis Supervisor Award of Beijing Society of Image and Graphics. (2021年度北京图象图形学学会优秀博士论文导师奖)
• 2021 Hot paper award, Science China (Series F: Information Sciences). (《中国科学：信息科学》2021年度热点论文奖)
• The 16th Beijing Excellent Youth Research Paper Award, 2021.
• Second Award for Outstanding Youth academic Achievements, Guangdong Society of Computational Mathematics. (2021年，广东省计算数学学会，青年优秀学术成果二等奖)
• The 15th Beijing Excellent Youth Research Paper Award, 2020.
• 2019 Excellent Doctoral Thesis Supervisor Nomination Award of Chinese Society of Image and Graphics. (2019年度中国图象图形学学会优秀博士论文提名奖指导教师)
• 2019 Excellent Doctoral Thesis Supervisor Award of Beijing Society of Image and Graphics. (2019年度北京图象图形学学会优秀博士论文导师奖)
• 2018 ICCM Best Paper Award (the first author), International Consortium of Chinese Mathematicians (ICCM), 2018. Prof. Shing-Tung Yau at Harvard University is the President of ICCM, and the Chair of 2018 ICCM Best Paper Award Global Selection Committee. (世界华人数学家联盟2018年度最佳论文奖 )
• Wu wenjun AI Award: the First-Class Natural Science Award (吴文俊人工智能科学技术奖自然科学一等奖), Chinese Association for Artificial Intelligence (CAAI), 2018
• 2017 ICCM Best Paper Award (corresponding author), International Consortium of Chinese Mathematicians (ICCM), 2017. Prof. Shing-Tung Yau at Harvard University is the President of ICCM, and the Chair of 2017 ICCM Best Paper Award Global Selection Committee. (世界华人数学家联盟2017年度最佳论文奖 )
• Received the National Science Fund for Distinguished Young Scholars of China (国家杰出青年基金), 2017
• Best Student Paper Awards Finalist (Certificate, one of only five in 450 accepted full papers), IEEE International Conference on Robotics and Biomimetics (IEEE Robio 2017)
• 2017 Gold Medal Award (with the Congratulations of the Jury) at the 45th International Exhibition of Inventions of Geneva, Switzerland
• 2016 Okawa Foundation Research Grant Award recipient, Tokyo, Japan
• Silver Award at the 9th International Exhibition of Inventions, Kunshan, China, 2016, sponsor by China Association of Inventions and International Federation of Inventors' Associations (IFIA)
• Newton Advanced Fellowship, The Royal Society, United Kingdom, 2016.3~2019.2
• The Best Paper Award, the Journal of Computational Visual Media, Springer, 2015.
• The Best Paper Award (3rd place), Symposium on Solid and Physical Modeling (SPM 2014)
• Received the National Science Fund for Excellent Young Scholars (国家优秀青年基金), 2013
• The Best Reviewer Award, The 13th International Conference on CAD/Graphics, 2013
• Gold Medal Award at the 41st International Exhibition of Inventions of Geneva, Switzerland, 2013
• The Second-Class National Technology Invention Award, the 3rd rewarded one, 2011
• Program for New Century Excellent Talents in University, Ministry of Education, 2011
• Excellent Home-Room Teacher Award, 2nd class, Tsinghua University, 2011
• Top Grade Award of Advisor in Student Research Training Program, Tsinghua University, 2010
• Outstanding Director Award of the 29th Challenge-cup Extracurricular and Academic Contest, Tsinghua University, 2010
• Excellent Home-Room Teacher Award, 2nd class, Tsinghua University, 2010
• Excellent Teaching Award, Department of Computer Science, Tsinghua University, 2009
• The Best Educational Software Award, Tsinghua University, 2008
• The 9th Beijing Excellent Youth Research Paper Award, First Class, 2007

Teaching

• Spring semester: Fundamentals of Computer Graphics, 2011~present (Graduate, 80240593, in English, 16 weeks x 3 units/week x 45minutes/unit)
• Fall semester: Computer Graphics, 2007~present (Graduate, 60240073, in Chinese, 16 weeks x 3 units/week x 45minutes/unit)
• Fall semester: Computer Aided Design, 2006~present (Undergraduate, 00240013, in Chinese, 16 weeks x 3 units/week x 45minutes/unit)

Downloadable Softwares, Source Codes and Databases

• FEditNet: Few-shot Editing of Latent Semantics in GAN Spaces. Source code; Detailed document (AAAI 2023).
• PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows. Source code; Detailed document (TVCG 2022).
• Positional Attention Guided Transformer-like Architecture for Visual Question Answering. Source code; Detailed document (IEEE Transactions on Multimedia 2022).
• Animating Portrait Line Drawings from a Single Face Photo and a Speech Signal. Source code; Detailed document (SIGGRAPH 2022).
• ParticleSfM Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild. Source code; Detailed document (ECCV 2022).
• Audio-Driven Stylized Gesture Generation with Flow-Based Model. Source code; Detailed document (ECCV 2022).
• A Mixture of Surprises for Unsupervised Reinforcement Learning. Source code; Detailed document (NeurIPS 2022).
• GAN-based Multi-Style Photo Cartoonization. Source code; Detailed document (TVCG 2021).
• Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms. Dataset; Detailed document (PAMI 2021).
• PPR-Net++: Accurate 6D Pose Estimation in Stacked Scenarios.Source code; Detailed document (TASE 2021).
• GPU-based Supervoxel Generation with a Novel Anisotropic Metric. Source code; Detailed document (TIP 2021).
• 3D-CariGAN: An End-to-End Solution to 3D Caricature Generation from Normal Face Photos. Source code; Detailed document (TVCG 2021).
• Autoregressive Stylized Motion Synthesis with Generative Flow. Source code; Detailed document (CVPR 2021).
• AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis. Source code; Detailed document (ICCV 2021).
• Feature-Aware Uniform Tessellations on Video Manifold for Content-Sensitive Supervoxels. Source code; Detailed document (PAMI 2020).
• Line Drawings for Face Portraits from Photos using Global and Local Structure based GANs. Source code; Detailed document (PAMI 2020).
• Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose. Source code; Detailed document.
• Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping. Source code; Detailed document (CVPR 2020).
• Towards Better Generalization: Joint Depth-Pose Learning without PoseNet. Source code; Detailed document (CVPR 2020).
• PC-NBV: A Point Cloud Based Deep Network for Efficient Next Best View Planning. Source code; Detailed document (IROS 2020).
• APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs. Source code; Dataset; Model1; Model2; Detailed document (CVPR 2019).
• Fast Computation of Content-Sensitive Superpixels and Supervoxels using q-distances. Source code; Detailed document (ICCV 2019).
• Content-Sensitive Supervoxels via Uniform Tessellations on Video Manifolds. Source code; Detailed document (PAMI 2020).
• Ranking-Preserving Cross-Source Learning for Image Retargeting Quality Assessment. Source code; Detailed document (IEEE PAMI).
• CFD: A Collaborative Feature Difference Method for Spontaneous Micro-Expression Spotting. Source code; Detailed document (ICIP 2018).
• CartoonGAN: Generative Adversarial Networks for Photo Cartoonization. Source code; Model; Detailed document (CVPR 2018).
• Intrinsic Manifold SLIC: A Simple and Efficient Method for Computing Content-Sensitive Superpixels. MSLIC source code at OpenCV library; Detailed document (PAMI 2018).
• Sparse MDMO for micro-expression recognition. Source code; Detailed document (IEEE T-AFFC).
• A Main Directional Mean Optical Flow Feature for Spontaneous Micro-Expression Recognition. Source code; Detailed document.
• Manifold SLIC (MSLIC): a fast method to compute content-sensitive superpixels. Source code (OpenCV version); OpenCV official website (MSLIC); Detailed document 1; Detailed document 2.
• Objective Quality Prediction of Image Retargeting Algorithms. Matlab source code; Detailed document.
• Delaunay mesh construction and simplication. Download the executable program package; Detailed document; Demo Video.
• Fast wavefront propagation (FWP) for computing exact geodesic distances on meshes. Download the executable program package; Detailed document.
• Geodesic Voronoi diagram of points and polylines on 2-manifold meshes. Download the executable program package; Detailed document I; Detailed document II; Detailed document III.
• CASME II: A spontaneous micro-expression database. Link to the database; Detailed document I; Detailed document II.
• 2.1D sketch extraction from monocular images: Download the MATLAB source code and example images; ReadMe; Detailed document.
• Database of 3D color models (431 models in 17 classes): Download the database; ReadMe; Color Model Viewer; Database contents (in English); Database contents (in Chinese); Detailed document; One more document 1.
• Exact geodesic metric in 2-manifold triangle meshes using an edge-based data structure: Download the executable program package; Detailed document.
• VideoSketch: An installation package for Android OS: Download the package; Demo Video; ReadMe; A more comprehensive demo video; Chinese version; Detailed document.
• Exact-geodesic Voronoi diagram on 2-manifold triangle meshes. Download the executable program; ReadMe; Detailed document.
• Exact-geodesic paths and distances on 2-manifold triangle meshes. Download the source code developed in Visual C++.net; ReadMe; Detailed document; A more document.
• 3DModelSketch: EasyToy -- A sketch-based 3D cartoon toy design software. Download the software; ReadMe; Detailed document; One more document 1; One more document 2; Demo Video; A comprehensive demo video; A more comprehensive demo video; Project webpage 1; Project webpage 2. Awarded "Gold Medal" at the 41st International Exhibition of Inventions of Geneva, Switzerland (12-April-2013): Certificate; Chinese web news.
• Image retargeting/resizing quality assessment. Download the executable program; ReadMe; Detailed document; Detailed document2.

Representative Conference Publications

(Those papers whose conference proceedings are special issues in jounals, such as ACM SIGGRAPH, ACM SIGGRAPH ASIA, Eurographics, Pacific Graphics, etc, are listed in representative journal publications.)
• Yubin Hu, Yuze He, Yanghao Li, Jisheng Li1 Yuxing Han, Jiangtao Wen Yong-Jin Liu*.Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos. CVPR 2023 PDF.
• Aihua Mao, Yaqi Duan, Yu-Hui Wen, Zihui Du, Hongmin Cai, Yong-Jin Liu*. Invertible Residual Neural Networks with Conditional Injector and Interpolator for Point Cloud Upsampling. IJCAI 2023 PDF.
• Mengfei Xia, Yezhi Shu, Yuji Wang, Yu-Kun Lai, Qiang Li, Pengfei Wan, Zhongyuan Wang, Yong-Jin Liu*. FEditNet: Few-shot Editing of Latent Semantics in GAN Spaces. AAAI 2023. PDF.
• Yuze He, Yubin Hu, Wang Zhao, Jisheng Li, Yong-Jin Liu*, Yuxing Han, Jiangtao Wen. DarkFeat: Noise-Robust Feature Detector and Descriptor for Extremely Low-Light RAW Images. AAAI, 2023. PDF.
• Tian Lv, Yu-Hui Wen, Zhiyao Sun, Zipeng Ye, Yong-Jin Liu*. Generating Smooth and Facial-Details-Enhanced Talking Head Video: A Perspective of Pre and Post Processes. In Proceedings of the 30th ACM International Conference on Multimedia (MM '22). Association for Computing Machinery, 7079–7083. https://doi.org/10.1145/3503161.3551583. PDF.
• Andrew Zhao, Matthieu Gaetan Lin, Yangguang Li, Yong-Jin Liu*, Gao Huang*. A Mixture of Surprises for Unsupervised Reinforcement Learning. Neural Information Processing Systems (NeurIPS) 2022, https://doi.org/10.48550/arXiv.2210.06702. PDF, Source code.
• Sheng Ye, Yu-Hui Wen, Yanan Sun, Ying He, Ziyang Zhang, Yaoyuan Wang, Weihua He, Yong-Jin Liu*. Audio-Driven Stylized Gesture Generation with Flow-Based Model. Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part V. Cham: Springer Nature Switzerland, 2022: 712-728. PDF, Source code.
• Aihua Mao, Zihui Du, Yu-hui Wen*, Jun Xuan, Yong-Jin Liu*. PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows. Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part III. Cham: Springer Nature Switzerland, 2022: 398-415. PDF.
• Wang Zhao, Shaohui Liu, Hengkai Guo, Wenping Wang, Yong-Jin Liu*. ParticleSfM Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild. Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXXII. Cham: Springer Nature Switzerland, 2022: 523-542. PDF, Source code.
• Ran Yi, Zipeng Ye, Ruoyu Fan, Yezhi Shu, Yong-Jin Liu*, Yu-Kun Lai, Paul Rosin. Animating Portrait Line Drawings from a Single Face Photo and a Speech Signal. ACM SIGGRAPH 2022 Conference Proceedings (SIGGRAPH '22). Association for Computing Machinery, Article 60, 1–8. https://doi.org/10.1145/3528233.3530720. PDF, Source code.
• Wang Zhao, Shaohui Liu, Yi Wei, Hengkai Guo, Yong-Jin Liu*. A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo. IEEE International Conference on Computer Vision (ICCV 21), pages 6168-6177, 2021. PDF.
• Yudong Guo, Keyu Chen, Sen Liang, Yong-Jin Liu, Hujun Bao, Juyong Zhang. AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis. IEEE International Conference on Computer Vision (ICCV 21), pages 5784-5794, 2021. PDF, Source code.
• Long Zeng, Weijie Lv, Xinyu Zhang, Yong-Jin Liu*. ParametricNet: 6DoF Pose Estimation Network for Parametric Shapes in Stacked Scenarios. IEEE International Conference on Robotics and Automation (ICRA), 2021.
• Yiheng Han, Jia Pan, Mengfei Xia, Long Zeng, Yong-Jin Liu*. Efficient SE(3) Reachability Map Generation Via Interplanar Integration of Intra-Planar Convolutions. IEEE International Conference on Robotics and Automation (ICRA), 2021.
• Yu-Hui Wen, Zhipeng Yang, Hongbo Fu, Lin Gao, Yanan Sun, Yong-Jin Liu*. Autoregressive Stylized Motion Synthesis with Generative Flow. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 21), pages 13612-13621, 2021. PDF, Source code
• Yiheng Han, Wang Zhao, Jia Pan, Yong-Jin Liu*. Configuration Space Decomposition for Learning-based Collision Checking in High-DOF Robots. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 20), pages 5678-5684, 2020. PDF,
• Rui Zeng, Wang Zhao, Yong-Jin Liu*. PC-NBV: A Point Cloud Based Deep Network for Efficient Next Best View Planning. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 20), pages 7050-7057, 2020. PDF, Source code.
• Wang Zhao, Shaohui Liu, Yezhi Shu, Yong-Jin Liu. Towards Better Generalization: Joint Depth-Pose Learning without PoseNet. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 20), pages 9151-9161, 2020. PDF, Source code.
• Ran Yi, Yong-Jin Liu, Yu-Kun Lai, Paul L. Rosin. Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 20), pages 8217-8225, 2020. PDF, Source code.
• Zipeng Ye, Ran Yi, Minjing Yu, Yong-Jin Liu*, and Ying He. Fast Computation of Content-Sensitive Superpixels and Supervoxels using q-distances. In International Conference on Computer Vision (ICCV 19), pages 3770-3779, 2019. PDF, Source code.
• Ran Yi, Yong-Jin Liu, Yu-Kun Lai and Paul L. Rosin. APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 19), pages 10743-10752, 2019. PDF, Dataset, Source code, Model1, Model2.
• Yuan Yao, Jianqiang Ren, Xuansong Xie, Weidong Liu, Yong-Jin Liu and Jun Wang. Attention-aware Multi-stroke Style Transfer. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 19), pages 1467-1475, 2019.
• Fang Liu, Xiaoming Deng, Yu-Kun Lai, Yong-Jin Liu, Cuixia Ma and Hongan Wang. SketchGAN: Joint Sketch Completion and Recognition with Generative Adversarial Network. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 19), pages 5830-5839, 2019.
• Chenming Wu, Chengkai Dai, Xiaoxi Gong, Yong-Jin Liu, Jun Wang, Xianfeng Gu, Charlie C.L. Wang. Energy-Efficient Coverage Path Planning for General Terrain Surfaces. The 2019 International Conference on Robotics and Automation (ICRA 2019), also published in IEEE Robotics and Automation Letters, Vol. 4, No. 3, pp. 2584-2591 (joint submission to ICRA 2019 and RAL).
• Ran Yi, Yong-Jin Liu, Yu-Kun Lai. Evaluation on the Compactness of Supervoxels. IEEE International Conference on Image Processing (ICIP 18), pp. 2212-2216, 2018.
• Yiheng Han, Bingjun Li, Yu-Kun Lai and Yong-Jin Liu. CFD: A Collaborative Feature Difference Method for Spontaneous Micro-Expression Spotting. IEEE International Conference on Image Processing (ICIP 18), pp.1942-1946, 2018. Source code.
• Ran Yi, Yong-Jin Liu, Yu-Kun Lai. Content-Sensitive Supervoxels via Uniform Tessellations on Video Manifolds. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 18), pages 646-655, 2018. Source code.
• Yang Chen, Yu-Kun Lai, Yong-Jin Liu. CartoonGAN: Generative Adversarial Networks for Photo Cartoonization. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 18), pages 9465-9474, 2018. PDF, Source code, Model.
• Minjing Yu, Yong-Jin Liu*, Guozhen Zhao, Chun Yu, Yuanchun Shi. Spatial Ability Improvement by Tangible Interaction: A Case Study with EasySRRobot. Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (CHI EA '18), Paper No. LBW013.
• Minjing Yu, Yong-Jin Liu* and Charlie C.L. Wang. EasySRRobot: An Easy-to-Build Self-Reconfigurable Robot with Optimized Design. IEEE International Conference on Robotics and Biomimetics (IEEE Robio 2017), pp.1094-1099. Finalist of Best Student Paper Award.
• Yang Chen, Yong-Jin Liu*, Yu-Kun Lai (2017). Learning to Rank Retargeted Images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR' 17), pp. 4743-4751, 2017. PDF.
• Chenming Wu, Chengkai Dai, Guoxin Fang, Yong-Jin Liu, Charlie C.L. Wang (2017). RoboFDM: A Robotic System for Support-Free Fabrication using FDM. IEEE International Conference on Robotics and Automation (ICRA 2017), pp. 1175-1180, 2017.
• Chenming Wu, Ran Yi, Yong-Jin Liu*, Ying He, Charlie C.L. Wang (2016). Delta DLP 3D Printing with Large Size. The 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), pp. 2155-2160, 2016.
• Yong-Jin Liu*, Chengchi Yu, Minjing Yu, Ying He (2016) Manifold SLIC: a fast method to compute content-sensitive superpixels. IEEE Conference on Computer Vision and Pattern Recognition (CVPR' 16), pp.651-659, 2016. PDF, Source code
• Hui Liang, Jin Wang, Qian Sun, Yong-Jin Liu*, Junsong Yuan, Jun Luo, Ying He (2016) Barehanded Music: Real-time Hand Interaction for Virtual Piano. Proceedings of ACM Symposium on Interactive 3D Graphics and Games (I3D '16), pp. 87-94, 2016.
• Wen-Jing Yan, Qi Wu, Yong-Jin Liu*, Su-Jing Wang, Xiaolan Fu (2013) CASME database: A dataset of spontaneous micro-expressions collected from neutralized faces. 10th IEEE International Conference on Automatic Face Gesture Recognition (FG 2013), pp. 1-7, 2013.

Representative Journal Publications (*Corresponding author)

• Aihua Mao, Zhi Yang, Ken Lin, Jun Xuan, Yong-Jin Liu*, Positional Attention Guided Transformer-Like Architecture for Visual Question Answering IEEE Transactions on Multimedia, vol. 25, pp. 6997-7009, 2023, doi: 10.1109/TMM.2022.3216770.
• Yanan Sun, Zhiyao Sun, Yu-Hui Wen, Sheng Ye, Tian Lv, Minjing Yu, Ran Yi, Lin Gao, Yong-Jin Liu*, Generation of virtual digital human for customer service industry. In: Computers & Graphics,Volume 115,2023.
• Zhipeng Yang, Yu-Hui Wen, Shu-Yu Chen, Xiao Liu, Yuan Gao, Yong-Jin Liu*, Lin Gao, Hongbo Fu. Keyframe Control of Music-driven 3D Dance Generation. In: IEEE Transactions on Visualization and Computer Graphics. 2023.
• Aihua Mao, Zhi Yang, Wanxin Chen, Ran Yi, Yong-Jin Liu*. Complete 3D Relationships Extraction Modality Alignment Network for 3D Dense Captioning. IEEE Transactions on Visualization and Computer Graphics(2023) PDF.
• Yong-Jin Liu, Baodong Wang, Lin Gao, Junli Zhao*, Ran Yi, Minjing Yu, Zhenkuan Pan, Xianfeng Gu*. 4D facial analysis: A survey of datasets, algorithms and applications. Computers & Graphics 115(2023) 423-445. PDF.
• Ran Zuo, Xiaoming Deng, Keqi Chen, Zhengming Zhang, Yu-Kun Lai, Fang Liu, Cuixia Ma, Hao Wang, Yong-Jin Liu*, Hongan Wang. Fine-Grained Video Retrieval with Scene Sketches. IEEE Transactions on Image Processing 2023. PDF.
• Chao Zhou, Yulong Bian, Shu Zhang, Ziyang Zhang, Yaoyuan Wang, Yong-Jin Liu*. Exploring User Experience and Performance of A Tedious Task Through Human-Agent Relationship. Scientific Reports, 13, Article number: 2995 (2023).PDF
• Xiaobing Du, Xiaoming Deng, Hangyu Qin, Yezhi Shu, Fang Liu, Guozhen Zhao*, Yu-Kun Lai, Cuixia Ma*, Yong-Jin Liu* and Hongan Wang, MMPosE: Movie-induced Multi-label Positive Emotion Classification Through EEG Signalsin IEEE Transactions on Affective Computing, 2022.
• Aihua Mao, Zhi Yang, Ken Lin, Jun Xuan, Yong-Jin Liu*. Positional Attention Guided Transformer-like Architecture for Visual Question Answering. IEEE Transactions on Multimedia, 2022, doi: 10.1109/TMM.2022.3216770. PDF, Source code.
• Yi, Ran, Zipeng Ye, Zhiyao Sun, Juyong Zhang, Guoxin Zhang, Pengfei Wan, Hujun Bao and Yong-Jin Liu* , Predicting Personalized Head Movement From Short Video and Speech Signal, IEEE Transactions on Multimedia, 2022
• Aihua Mao, Wenbo Dong, Chaoqiang Xie, Huamin Wang, Yong-Jin Liu*, Guiqing Li, Ying He, Yarn-Level Simulation of Hygroscopicity of Woven Textiles, IEEE Transactions on Visualization and Computer Graphics, 2022
• Yiheng Han, Irvin Haozhe Zhan, Wang Zhao, Jia Pan, Ziyang Zhang, Yaoyuan Wang, Yong-Jin Liu*. Deep Reinforcement Learning for Robot Collision Avoidance With Self-State -Attention and Sensor Fusion. IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 6886-6893, July 2022, doi: 10.1109/LRA.2022.3178791. PDF.
• Shengfa Wang, Yu Jiang, Jiangbei Hu, Xin Fan, Zhongxuan Luo, Yong-Jin Liu, Ligang Liu. Efficient Representation and Optimization of TPMS-Based Porous Structures for 3D Heat Dissipation. Computer-Aided Design, Volume 142, 2022, 103123, ISSN 0010-4485, https://doi.org/10.1016/j.cad.2021.103123. PDF.
• Aihua Mao, Zihui Du, Junhui Hou, Yaqi Duan, Yong-Jin Liu, Ying He. PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows. IEEE Transactions on Visualization and Computer Graphics, 2022, doi: 10.1109/TVCG.2022.3196334. PDF, Source code.
• Fang Liu, Xiaoming Deng, Changqing Zou, Yu-Kun Lai, Keqi Chen, Ran Zuo, Cuixia Ma, Yong-Jin Liu*, Hongan Wang. SceneSketcher-v2: Fine-Grained Scene-Level Sketch-Based Image Retrieval Using Adaptive GCNs. IEEE Transactions on Image Processing, vol. 31, pp. 3737-3751, 2022, doi: 10.1109/TIP.2022.3175403. PDF.
• Fang Liu, Xiaoming Deng, Jiancheng Song, Yu-Kun Lai, Yong-Jin Liu*, Hao Wang, Cuixia Ma, Shengfeng Qin, and Hongan Wang. SketchMaker: Sketch Extraction and Reuse for Interactive Scene Sketch Composition. ACM Trans. Interact. Intell. Syst. 12, 3, Article 23 (September 2022), 26 pages. https://doi.org/10.1145/3543956. PDF.
• Ran Yi, Zipeng Ye, Zhiyao Sun, Juyong Zhang, Guoxin Zhang, Pengfei Wan, Hujun Bao, Yong-Jin Liu*. Predicting Personalized Head Movement from Short Video and Speech Signal. IEEE Transactions on Multimedia, 2022, doi: 10.1109/TMM.2022.3207606. PDF.
• Ran Yi, Rui Zeng, Yang Weng, Minjing Yu, Yu-Kun Lai, Yong-Jin Liu*. Lesion region segmentation via weakly supervised learning. Quant. Biol., 2022, 10(3): 239‒252 https://doi.org/10.15302/J-QB-021-0272. PDF.
• Yu-Hui Wen, Lin Gao, Hongbo Fu, Fang-Lue Zhang, Shihong Xia, Yong-Jin Liu*. Motif-GCNs with Local and Non-Local Temporal Blocks for Skeleton-Based Action Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 2, pp. 2009-2023, 1 Feb. 2023, doi: 10.1109/TPAMI.2022.3170511. PDF.
• Yezhi Shu, Pei Yang, Niqi Liu, Shu Zhang, Guozhen Zhao, Yong-Jin Liu*. Emotion Distribution Learning Based on Peripheral Physiological Signals. IEEE Transactions on Affective Computing. DOI (identifier) 10.1109/TAFFC.2022.3163609
• Ran Yi, Yong-Jin Liu*, Yu-Kun Lai, Paul Rosin. Quality Metric Guided Portrait Line Drawing Generation from Unpaired Training Data. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 1, pp. 905-918, 1 Jan. 2023, doi: 10.1109/TPAMI.2022.3147570. PDF.
• Zipeng Ye; Mengfei Xia; Ran Yi; Juyong Zhang; Yu-Kun Lai; Xuwei Huang; Guoxin Zhang; Yong-Jin Liu*. Audio-Driven Talking Face Video Generation with Dynamic Convolution Kernels. IEEE Transactions on Multimedia. DOI (identifier) 10.1109/TMM.2022.3142387PDF.
• Zeyu Zhang, Chenming Wu, Chengkai Dai, Qingqing Shi, Guoxin Fang, Dongfang Xie, Xiangjie Zhao, Yong-Jin Liu*, Charlie C.L. Wang, Xiu-Jie Wang. A multi-axis robot-based bioprinting system supporting natural cell function preservation and cardiac tissue fabrication. Bioactive Materials, Volume 18, December 2022, Pages 138-150
• Paul L. Rosin, Yu-Kun Lai, David Mould, Ran Yi, Itamar Berger, Lars Doyle, Seungyong Lee, Chuan Li, Yong-Jin Liu, Amir Semmo, Ariel Shamir, Minjung Son & Holger Winnemöller, NPRportrait 1.0: A three-level benchmark for non-photorealistic rendering of portraits, Computational Visual Media, 2022, Vol. 8, No. 3, 445-465
• Aihua Mao, Canglan Dai, Qing Liu, Jie Yang, Lin Gao, Ying He, Yong-Jin Liu. STD-Net: Structure-preserving and Topology-adaptive Deformation Network for Single-View 3D Reconstruction. IEEE Transactions on Visualization and Computer Graphics, vol. 29, no. 3, pp. 1785-1798, 1 March 2023, doi: 10.1109/TVCG.2021.3131712. PDF.
• Zipeng Ye, Mengfei Xia, Yanan Sun, Ran Yi, Minjing Yu, Juyong Zhang, Yu-Kun Lai, Yong-Jin Liu*. 3D-CariGAN: An End-to-End Solution to 3D Caricature Generation from Normal Face Photos. IEEE Transactions on Visualization and Computer Graphics, 2021. PDF, Source code.
• Xiao Dong, Zhonggui Chen, Yong-Jin Liu, Junfeng Yao, Xiaohu Guo. GPU-based Supervoxel Generation with a Novel Anisotropic Metric. IEEE Transactions on Image Processing, Vol. 30, pp. 8847-8860, 2021. PDF, Source code.
• Shengfa Wang, Yu Jiang, Jiangbei Hu, Xin Fan, Zhongxuan Luo, Yong-Jin Liu, Ligang Liu. Efficient Representation and Optimization of TPMS-Based Porous Structures for 3D Heat Dissipation. Computer-Aided Design, Volume 142, January 2022, Article no. 103123. PDF.
• Long Zeng, Wei Jie Lv, Zhi Kai Dong, Yong-Jin Liu*. PPR-Net++: Accurate 6D Pose Estimation in Stacked Scenarios. IEEE Transactions on Automation Science and Engineering, Vol. 19, No. 4, pp. 3139-3151, 2021.PDF, Source code.
• Kevin Maher, Zeyuan Huang, Jiancheng Song, Xiaoming Deng, Yu-Kun Lai, Cuixia Ma, Hao Wang, Yong-Jin Liu, Hongan Wang. E-ffective: A Visual Analytic System for Exploring the Emotion and Effectiveness of Inspirational Speeches. IEEE Transactions on Visualization and Computer Graphics (Special issue of IEEEE VIS 2021).
• Shu Zhang, Xinge Liu, Xuan Yang, Yezhi Shu, Niqi Liu, Dan Zhang, Yong-Jin Liu*. The Influence of Key Facial Features on Recognition of Emotion in Cartoon Faces. Frontiers in Psychology, section Emotion Science, Vol. 12, Article 687974, 2021. PDF.
• Yulin Zhang, Guozhen Zhao, Yezhi Shu, Yan Ge, Dan Zhang, Yong-Jin Liu, Xianghong Sun. CPED: A Chinese Positive Emotion Database for Emotion Elicitation and Analysis. IEEE Transactions on Affective Computing. 2021. PDF.
• (ESI Highly Cited Paper)Xianye Ben, Yi Ren, Junping Zhang, Su-Jing Wang, Kidiyo Kpalma, Weixiao Meng, Yong-Jin Liu*. Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021. PDF, Dataset.
• Yezhi Shu, Ran Yi, Mengfei Xia, Zipeng Ye, Wang Zhao, Yang Chen, Yu-Kun Lai, Yong-Jin Liu*. GAN-based Multi-Style Photo Cartoonization. IEEE Transactions on Visualization and Computer Graphics, DOI (identifier) 10.1109/TVCG.2021.3067201, 2021. PDF, Source code.
• (ESI Highly Cited Paper)Guanhua Zhang, Minjing Yu, Yong-Jin Liu*, Guozhen Zhao, Dan Zhang, Wenming Zheng. SparseDGCNN: Recognizing Emotion from Multichannel EEG Signals. IEEE Transactions on Affective Computing, Digital Object Identifier: 10.1109/TAFFC.2021.3051332, 2021.
• Guozhen Zhao, Yulin Zhang, Guanhua Zhang, Dan Zhang, Yong-Jin Liu*. Multi-target Positive Emotion Recognition from EEG Signals. IEEE Transactions on Affective Computing, DOI (identifier) 10.1109/TAFFC.2020.3043135, 2021.
• (ESI Highly Cited Paper)Xiaobing Du, Cuixia Ma, Guanhua Zhang, Jinyao Li, Yu-Kun Lai, Guozhen Zhao, Xiaoming Deng, Yong-Jin Liu*, Hongan Wang. An Efficient LSTM Network for Emotion Recognition from Multichannel EEG Signals. IEEE Transactions on Affective Computing, DOI (identifier) 10.1109/TAFFC.2020.3013711, 2021.
• Zipeng Ye, Ran Yi, Wenyong Gong, Ying He, Yong-Jin Liu. Dirichlet energy of Delaunay meshes and intrinsic Delaunay triangulations. Computer-Aided Design, Vol. 126, article no. 102851, 2020. PDF.
• Ran Yi, Zipeng Ye, Juyong Zhang, Hujun Bao, Yong-Jin Liu*. Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose. CoRR, vol. abs/2002.10137, 2020. Source code, Demo video.
• Ran Yi, Mengfei Xia, Yong-Jin Liu*, Yu-Kun Lai, Paul L. Rosin. Line Drawings for Face Portraits from Photos using Global and Local Structure based GANs. IEEE Transactions on Pattern Analysis and Machine Intelligence. DOI (identifier) 10.1109/TPAMI.2020.2987931, 2020. Preprint, Appendix, Source code.
• Ran Yi, Zipeng Ye, Wang Zhao, Minjing Yu, Yu-Kun Lai, Yong-Jin Liu*. Feature-Aware Uniform Tessellations on Video Manifold for Content-Sensitive Supervoxels. IEEE Transactions on Pattern Analysis and Machine Intelligence. DOI (identifier) 10.1109/TPAMI.2020.2979714, 2020. Preprint, Source code, Demo video.
• Yong-Jin Liu, Yiheng Han, Zipeng Ye, Yu-Ku Lai. Ranking-Preserving Cross-Source Learning for Image Retargeting Quality Assessment. IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 42, No. 7, pp. 1798-1805, 2020. Source code.
• Aihua Mao, Hong Zhang, Zhenfeng Xie, Minjing Yu, Yong-Jin Liu, Ying He. Automatic Sitting Pose Generation for Ergonomic Ratings of Chairs. IEEE Transactions on Visualization and Computer Graphics, Vol. 27, No. 3, pp. 1890-1903, 2021.
• Chenming Wu, Chengkai Dai, Guoxin Fang, Yong-Jin Liu, Charlie C. L. Wang. General Support-Effective Decomposition for Multi-Directional 3D Printing. IEEE Transactions on Automation Science and Engineering, Vol. 17, No. 2, pp.599-610, 2020.
• Zipeng Ye, Minjing Yu, Yong-Jin Liu. NP-Completeness of Optimal Planning Problem for Modular Robots. Autonomous Robots, Vol. 43, No. 8, pp. 2261-2270, 2019.
• Minjing Yu, Yong-Jin Liu, Yulin Zhang, Guozhen Zhao, Chun Yu, Yuanchun Shi. Interactions with Reconfigurable Modular Robots Enhance Spatial Reasoning Performance. IEEE Transactions on Cognitive and Developmental Systems. Vol. 12, No. 2, pp. 300-310, 2020.
• Xin Hu, Chu Zhuang, Fei Wang, Yong-Jin Liu, Chang-Hwan Im, Dan Zhang. fNIRS Evidence for the Differentiation of Positive Emotions. Frontiers in Human Neuroscience, Vol. 13, Article No. 120, 2019.
• Minjing Yu, Zipeng Ye, Yong-Jin Liu*, Ying He, Charlie C.L. Wang. LineUp: Computing Chain-based Physical Transformation. ACM Transactions on Graphics (To be presented at ACM SIGGRAPH 2019), Vol. 38, No. 1, Article No. 11, 2019. PDF, Demo video.
• Yong-Jin Liu, Minjing Yu, Guozhen Zhao, Jinjing Song, Yan Ge, Yuanchun Shi. Real-Time Movie-Induced Discrete Emotion Recognition from EEG Signals. IEEE Transactions on Affective Computing, Vol. 9, No. 4, pp. 550-562, 2018.
• Ran Yi, Yong-Jin Liu*, Ying He. Delaunay Mesh Simplification with Differential Evolution. ACM Transactions on Graphics (SIGGRAPH ASIA 2018), Vol. 37, No. 6, Article No. 263, 2018.
• Fei Hou, Qian Sun, Zheng Fang, Yong-Jin Liu, Shi-Min Hu, Hong Qin, Aimin Hao, Ying He. Poisson Vector Graphics (PVG). IEEE Transactions on Visualization and Computer Graphics, Vol. 26, No. 2, pp. 1361-1371, 2020.
• Yong-Jin Liu*, Bing-Jun Li, Yu-Kun Lai. Sparse MDMO: Learning a Discriminative Feature for Spontaneous Micro-Expression Recognition. IEEE Transactions on Affective Computing. DOI (identifier) 10.1109/TAFFC.2018.2854166, 2018. Source code
• Yue Ding, Xin Hu, Zhenyi Xia, Yong-Jin Liu, Dan Zhang. Inter-brain EEG Feature Extraction and Analysis for Continuous Implicit Emotion Tagging during Video Watching. IEEE Transactions on Affective Computing. Vol. 12, No. 1, pp. 92-102, January-March, 2021. PDF.
• Chengkai Dai, Charlie C.L. Wang, Chenming Wu, Sylvain Lefebvre, Guoxin Fang, Yong-Jin Liu. Support-Free Volume Printing by Multi-Axis Motion. ACM Transactions on Graphics (SIGGRAPH 2018), Vol. 37, No. 4, Article No. 134, 2018.
• Weiming Wang, Yong-Jin Liu, Jun Wu, Shengjing Tian, Charlie C.L. Wang, Ligang Liu, Xiuping Liu. Support-Free Hollowing. IEEE Transactions on Visualization and Computer Graphics, Vol. 24, No. 10, pp. 2787-2798, 2018.
• (ESI Highly Cited Paper)Guozhen Zhao, Yong-Jin Liu, Yuanchun Shi. Real-Time Assessment of Cross-Task Mental Workload using Physiological Measures during Anomaly Detection. IEEE Transactions on Human-Machine Systems, Vol. 48, No. 2, pp. 149-160, 2018.
• Yong-Jin Liu, Minjing Yu, Bing-Jun Li, Ying He (2018) Intrinsic Manifold SLIC: A Simple and Efficient Method for Computing Content-Sensitive Superpixels. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 40, No. 3, pp. 653-666, 2018. PDF. MSLIC source code at OpenCV library.
• Ran Yi, Chenming Wu, Yong-Jin Liu*, Ying He, Charlie C. L. Wang (2018) Delta DLP 3D Printing of Large Model. IEEE Transactions on Automation Science and Engineering, Vol. 15, No. 3, pp. 1193-1204, 2018.
• Wenyong Gong, Xiaohua Xie, Yong-Jin Liu. Human-Experience-Inspired Path Planning for Robots. International Journal of Advanced Robotic Systems, Vol. 15, No. 1, pp. 1-11, 2018
• Qian Fu, Fei Hou, Qian Sun, Shi-Qing Xin, Yong-Jin Liu, Wencheng Wang, Hong Qin, Ying He. Decorating 3D Models with Poisson Vector Graphics. Computer-Aided Design, Vol. 102, pp. 1-18, 2018.
• Su-Jing Wang, Bing-Jun Li, Yong-Jin Liu, Wen-Jing Yan, Xinyu Ou, Xiaohua Huang, Feng Xu, Xiaolan Fu. Micro-expression Recognition with Small Sample Size by Transferring Long-term Convolutional Neural Network. Neurocomputing, Vol. 312, pp. 251-262, 2018.
• Aamir Khan Jadoon, Chenming Wu, Yong-Jin Liu*, Ying He, Charlie C.L. Wang. Interactive Partitioning of 3D Models into Printable Parts. IEEE Computer Graphics and Applications, Vol. 38, No. 4, pp. 38-53, 2018.
• Yong-Jin Liu, Dian Fan, Chun-Xu Xu, Ying He (2017) Constructing Intrinsic Delaunay Triangulations from the Dual of Geodesic Voronoi Diagram. ACM Transactions on Graphics, Vol. 36, No. 2, Article No. 15, 2017.
• Qiufang Fu, Yong-Jin Liu, Zoltan Dienes, Jianhui Wu, Wenfeng Chen, Xiaolan Fu (2017) Neural Correlates of Subjective Awareness for Natural Scene Categorization of Color Photographs and Line-Drawings. Frontiers in Psychology, Vol. 8, Article No. 210, 13 pages, 2017.
• Yun Liang, Yong-Jin Liu*, Diego Gutierrez (2017) Objective Quality Prediction of Image Retargeting Algorithms. IEEE Transactions on Visualization and Computer Graphics, Vol. 23, No. 2, pp. 1099-1110, 2017. Source code.
• Yong-Jin Liu*, Dian Fan, Chun-Xu Xu, Ying He (2017) Space Complexity of Exact Discrete Geodesic Algorithms on Regular Triangulations. Information Processing Letters, Vol. 124, pp. 10-14, 2017.
• Weiming Wang, Baojun Li, Sicheng Qian, Yong-Jin Liu, Charlie C.L. Wang, Ligang Liu, Baocai Yin, Xiuping Liu (2017) Cross Section based Hollowing and Structural Enhancement. The Visual Computer (CGI 2017), Vol. 33, No. 6, pp. 949-960, 2017.
• Yong-Jin Liu, Chun-Xu Xu, Ran Yi, Dian Fan, Ying He (2016) Manifold Differential Evolution (MDE): A Global Optimization Method for Geodesic Centroidal Voronoi Tessellations on Meshes. ACM Transactions on Graphics (SIGGRAPH ASIA 2016), Vol. 35, No. 6, Article No. 243, 2016. Demo Video.
• Cuixia Ma, Yong-Jin Liu*, Guozhen Zhao, Hongan Wang (2016) Visualizing and Analyzing Video Content with Interactive Scalable Maps. IEEE Transactions on Multimedia, Vol. 18, No. 11, pp. 1-13, 2016.
• Qiufang Fu, Yong-Jin Liu, Zoltan Dienes, Jianhui Wu, Wenfeng Chen, Xiaolan Fu (2016) The role of edge-based and surface-based information in natural scene categorization: Evidence from behavior and event-related potentials. Consciousness and Cognition, Vol. 43, pp. 152-166, 2016.
• Kaiyun Li, Yong-Jin Liu, Fangbing Qu, Xiaolan Fu (2016) Neural activity associated with attention orienting triggered by implied action cues. Brain Research, Vol. 1642, pp. 353-363, 2016.
• Yong-Jin Liu, Cheng-Chi Yu, Min-Jing Yu, Kai Tang, Deok-Soo Kim (2016) A Robust Divide and Conquer Algorithm for Progressive Medial Axes of Planar Shapes. IEEE Transactions on Visualization and Computer Graphics, Vol. 22, No. 12, pp. 2522-2536, 2016.
• (ESI Highly Cited Paper)Yong-Jin Liu, Jin-Kai Zhang, Wen-Jing Yan, Su-Jing Wang, Guoying Zhao, Xiaolan Fu (2016) A Main Directional Mean Optical Flow Feature for Spontaneous Micro-Expression Recognition. IEEE Transactions on Affective Computing, Vol. 7, No. 4, pp. 299-310, 2016. Source code (an improved variant)
• Yong-Jin Liu, Cuixia Ma, Guozhen Zhao, Xiaolan Fu, Hongan Wang, Guozhong Dai, Lexing Xie (2016) An Interactive SpiralTape Video Summarization. IEEE Transactions on Multimedia, Vol. 18, No. 7, pp. 1-14, 2016. PDF, Demo Video
• Tsz-Ho Kwok, Yan-Qiu Zhang, Charlie C.L. Wang*, Yong-Jin Liu*, Kai Tang (2016) Styling evolution for tight-fitting garments. IEEE Transactions on Visualization and Computer Graphics, Vol. 22, No. 5, pp. 1580-1591, 2016. PDF, Demo Video.
• Peng Cheng, Chunyan Miao, Yong-Jin Liu, Changhe Tu, Ying He (2016) Solving the initial value problem of discrete geodesics. Computer-Aided Design (Special issue of SPM 2015), vol. 70, pp. 144-152, 2016.
• Minjing Yu, Yong-Jin Liu*, Su-Jing Wang, Qiufang Fu, Xiaolan Fu (2016) A PMJ-Inspired cognitive framework for natural scene categorization in line drawings. Neurocomputing, Vol. 173, Part 3, pp. 2041–2048, 2016.
• Yong-Jin Liu*, Chun-Xu Xu, Dian Fan, Ying He* (2015) Efficient Construction and Simplification of Delaunay Meshes. ACM Transactions on Graphics (SIGGRAPH ASIA 2015), Vol. 34, No. 6, Article No. 174, 2015. PDF, Executable, Demo Video.
• Yong-Jin Liu (2015) Semi-continuity of skeletons in 2-manifold and discrete Voronoi approximation. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 37, No. 9, pp. 1938-1944, 2015. PDF.
• Chunxu Xu, Tuanfeng Y. Wang, Yong-Jin Liu*, Ligang Liu, Ying He* (2015) Fast wavefront propagation (FWP) for computing exact geodesic distances on meshes. IEEE Transactions on Visualization and Computer Graphics, Vol. 21, No. 7, pp. 822-834, 2015. PDF. Executable program package.
• Wenyong Gong, Yong-Jin Liu*, Kai Tang, Tieru Wu (2015) Approximate Delaunay mesh reconstruction and quality estimation from point samples. Journal of Computational and Applied Mathematics, Vol. 274, pp. 23-34, 2015. PDF.
• Qiufang Fu, Xiaoyan Zhou, Zoltan Dienes, Yong-Jin Liu, Xiaolan Fu (2015) Distinguishing the roles of color and other surface properties in rapid natural scene categorization: Evidence from ERPs. Journal of Vision, Vol. 15, No. 12, doi:10.1167/15.12.347, (meeting abstract) 2015.
• Xiaoning Wang, Xiang Ying, Yong-Jin Liu, Shi-Qing Xin, Wenping Wang, Xianfeng Gu, Wolfgang Mueller-Wittig, Ying He (2015) Intrinsic computation of centroidal Voronoi tessellation (CVT) on meshes. Computer-Aided Design (Special issue of SPM 2014, Best Paper Award, 3rd place, Certificate), Vol. 58, pp. 51-61, 2015. PDF.
• Yong-Jin Liu, Cui-Xia Ma, Qiu-Fang Fu, Xiaolan Fu, Sheng-Feng Qin, Lexing Xie (2014) A Sketch-based Approach for Interactive Organization of Video Clips. ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 11, No. 1, Article No. 2, 2014. Demo video, PDF.
• Chunxu Xu, Yong-Jin Liu*, Qian Sun, Jinyan Li, Ying He (2014) Polyline-sourced geodesic Voronoi diagrams on triangle meshes. Computer Graphics Forum (special issue of Pacific Graphics 2014), Vol. 33, No. 7, pp.161-170, 2014. PDF paper; Supplemental Material; Executable program package.
• (ESI Highly Cited Paper)Wen-Jing Yan, Xiaobai Li, Su-Jing Wang, Guoying Zhao, Yong-Jin Liu, Yu-Hsin Chen, Xiaolan Fu (2014) CASME II: An Improved Spontaneous Micro-expression Database and the Baseline Evaluation. PLoS ONE, Vol. 9, No. 1, e86041, 2014. PDF.
• Wen-Jing Yan, Su-Jing Wang, Yong-Jin Liu, Qi Wu, Xiaolan Fu (2014) For micro-expression recognition: database and suggestions. Neurocomputing, Vol. 136, pp. 82-87, 2014. PDF.
• Cheng-Chi Yu, Yong-Jin Liu*, Tianfu Wu, Kai-Yun Li, Xiaolan Fu (2014) A global energy optimization framework for 2.1D sketch extraction from monocular images. Graphical Models (Special issue of GMP 2014), Vol. 76, No. 5, pp. 507-521, 2014. MATLAB code, PDF.
• Wen-Yong Gong, Yong-Jin Liu*, Kai Tang and Tie-Ru Wu (2014) Variational Discrete Developable Surface Interpolation. Journal of Computing and Information Science in Engineering, Vol. 14, No. 2, Article No. 021002, 2014. PDF.
• Long Zeng, Yong-Jin Liu*, Jin Wang, Dong-Liang Zhang, Ming-Fai Yuen (2014) Sketch2Jewelry: Semantic feature modeling for sketch-based jewelry design. Computers & Graphics (Special issue of CAD/Graphics 2013), Vol. 38, pp. 69-77, 2014. PDF.
• Yong-Jin Liu, Jun-Bin Zhang, Ji-Chun Hou, Ji-Cheng Ren, Wei-Qing Tang (2013) Cylinder detection in large-scale point cloud of pipeline plant. IEEE Transactions on Visualization and Computer Graphics, Vol. 19, No. 10, pp. 1700-1707, 2013. PDF.
• Qiufang Fu, Yong-Jin Liu, Wenfeng Chen, Xiaolan Fu (2013) The time course of natural scene categorization in human brain: simple line-drawings vs. color photographs. Journal of Vision, Vol. 13, No. 9, article 1060; doi:10.1167/13.9.1060, 2013. Abstract.
• Yong-Jin Liu (2013) Exact geodesic metric in 2-manifold triangle meshes using edge-based data structures. Computer-Aided Design, Vol. 45, No. 3, pp. 695-704, 2013. PDF; Executable program package.
• Yong-Jin Liu, Kai Tang (2013) The Complexity of Geodesic Voronoi Diagrams on Triangulated 2-Manifold Surfaces. Information Processing Letters, Vol. 113, No. 4, pp. 132-136, 2013. PDF.
• Yong-Jin Liu, Xi Luo, Ajay Joneja, Cui-Xia Ma, Xiao-Lan Fu, Da-Wei Song (2013) User-adaptive sketch-based 3-D CAD model retrieval. IEEE Transactions on Automation Science and Engineering, Vol. 10, No. 3, pp. 783-795, 2013. PDF.
• Yun Liang, Yong-Jin Liu, Xiao-Nan Luo, Lexing Xie, Xiaolan Fu (2013) Optimal-scaling-factor assignment for patch-wise image retargeting. IEEE Computer Graphics and Applications, Vol. 33, No. 5, pp. 68-78, 2013. PDF.
• Cui-Xia Ma, Yong-Jin Liu, Hong-An Wang, Dong-Xing Teng, Guo-Zhong Dai (2012) Sketch-based annotation and visualization in video authoring. IEEE Transactions on Multimedia, Vol. 14, No. 4, pp.1153-1165, 2012. PDF; Demo Video.
• Long Zeng, Yong-Jin Liu, Sang-Hun Lee, Ming-Fai Yuen (2012) Q-Complex: efficient non-manifold boundary representation with inclusion topology. Computer-Aided Design, Vol. 44, No. 11, pp. 1115-1126, 2012. PDF.
• Yong-Jin Liu, Yi-Fu Zheng, Lu Lv, Yu-Ming Xuan, Xiao-Lan Fu (2012) 3D Model retrieval based on color+geometry signatures. The Visual Computer, Vol. 28, No. 1, pp.75-86, 2012. PDF; 3D color model database.
• Long Zeng, Yong-Jin Liu*, Ming Chen, Ming-Fai Yuen (2012) Least squares quasi-developable mesh approximation. Computer Aided Geometric Design, Vol. 29, No. 7, pp. 565-578, 2012. PDF.
• Yong-Jin Liu, Zhan-Qing Chen, Kai Tang (2011) Construction of iso-contours, bisectors and Voronoi diagrams on triangulated surfaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 33, No. 8, pp.1502-1517, 2011. PDF; Executable program package.
• Yong-Jin Liu, Xi Luo, Yu-Ming Xuan, Wen-Feng Chen, Xiao-Lan Fu (2011) Image retargeting quality assessment. Computer Graphics Forum (Eurographics 2011), Vol. 30, No. 2, pp. 583-592, 2011. PDF; Executable Program.
• Yong-Jin Liu, Cui-Xia Ma, Dong-Liang Zhang (2011) EasyToy: Plush Toy Design Using Editable Sketching Curves. IEEE Computer Graphics and Applications, Vol. 31, No. 2, pp. 49-57, 2011. PDF; [Project webpage]
• Wen-Qi Zhang, Yong-Jin Liu* (2011) Approximating the longest paths in grid graphs. Theoretical Computer Science, Vol. 412, No. 39, pp. 5340-5350, 2011. PDF.
• Cui-Xia Ma, Yong-Jin Liu, Hai-Yan Yang, Dong-Xing Teng, Hong-An Wang, Guo-Zhong Dai (2011) KnitSketch: a sketch pad for conceptual design of 2D garment patterns. IEEE Transactions on Automation Science and Engineering, Vol. 8, No. 2, pp. 431-437, 2011. PDF.
• Yong-Jin Liu, Kai Tang, Wen-Yong Gong, Tie-Ru Wu (2011) Industrial design using interpolatory discrete developable surfaces. Computer-Aided Design, Vol. 43, No. 9, pp. 1089-1098, 2011. PDF.
• Yong-Jin Liu, Kam-Lung Lai, Gang Dai, Ming-Fai Yuen (2010) A semantic feature model in concurrent engineering. IEEE Transactions on Automation Science and Engineering, Vol. 7, No. 3, pp. 659-665, 2010. PDF.
• Yong-Jin Liu, Dong-Liang Zhang, Ming-Fai Yuen (2010) A survey on CAD methods in 3D garment design. Computers in Industry, Vol. 61, No. 6, pp. 576-593, 2010. PDF.
• Yong-Jin Liu, Wen-Qi Zhang, Kai Tang (2010) Some notes on maximal arc intersection of spherical polygons: its NP-hardness and approximation algorithms. The Visual Computer, Vol. 26, No. 4, pp. 287-292, 2010. PDF.
• Yong-Jin Liu, Yu-Kun Lai, Shi-Min Hu (2009) Stripification of free-form surfaces with global error bounds for developable approximation. IEEE Transactions on Automation Science and Engineering, Vol. 6, No. 4, pp. 700-709, 2009. PDF.
• Yong-Jin Liu, Kai Tang, Ajay Joneja (2007) Modeling dynamic developable meshes by the Hamilton principle. Computer-Aided Design, Vol. 39, No. 9, pp. 719-731, 2007. PDF.
• Yong-Jin Liu, Qian-Yi Zhou, Shi-Min Hu (2007) Handling degenerate cases in exact geodesic computation on triangle meshes. The Visual Computer, Vol. 23, No.9-11, pp. 661-668, 2007. PDF.
• Kai Tang, Yong-Jin Liu (2005) An optimization algorithm for free-form surface partitioning based on weighted gaussian image. Graphical Models, Vol. 67, No. 1, pp. 17-42, 2005. PDF.
• Yong-Jin Liu, Kai Tang, Ajay Joneja (2005) Sketch-based free-form shape modelling with a fast and stable numerical engine. Computers & Graphics, Vol. 29, No. 5, pp. 778-793, 2005. PDF.
• Kai Tang, Yong-Jin Liu (2004) A geometric method for determining intersection relations between a movable convex object and a set of planar polygons. IEEE Transactions on Robotics, Vol. 20, No. 4, pp. 636-650, 2004. PDF.
• Kai Tang, Yong-Jin Liu (2003) Maximal intersection of spherical polygons by an arc with applications to 4-axis machining. Computer-Aided Design, Vol. 35, No. 14, pp. 1269-1285, 2003. PDF.
• Yong-Jin Liu, Ming-Fai Yuen, Kai Tang (2003) Manifold-guaranteed out-of-core simplification of large meshes with controlled topological type. The Visual Computer, Vol. 19, No. 7-8, pp. 565-580, 2003. PDF.
• Yong-Jin Liu, Ming-Fai Yuen (2003) Optimized triangle mesh reconstruction from unstructured points. The Visual Computer, Vol. 19, No. 1, pp. 23-37, 2003. PDF.
• Yong-Jin Liu, Ming-Fai Yuen, Shan Xiong (2002) A feature-based approach for individualized human head modeling. The Visual Computer, Vol. 18, No. 5-6, pp. 368-381, 2002. PDF.

Selected Domestic Journal Papers (# SCI-index)

• Tian Lv, Yuhui Wen*, Sunzhi Yao, Yong-Jin Liu*.A continuous emotional editing model for talking head video based on decoupling texture and geometry. (基于纹理与几何解耦的说话人视频连续情感编辑模型). SCIENTIA SINICA Informationis. PDF.
• Fang Liu, Tian Lv, Xinge Liu, Sheng Ye, Rui Guo, Lie Zhang, Cuixia Ma, Qingwei Wang, Yong-Jin Liu*. Research on the Construction and Interactive Feedback of the Exhibition-hall with the Introduction of Intelligent Virtual Agent(引入智能虚拟讲解员的云展厅构建与交互反馈研究). Journal of Software, in Chinese, 2022. PDF.
• Xuan Yang, Chao Zhou, Shu Zhang, Yezhi Shu, Xinge Liu, Xiaoan Wang, Yong-Jin Liu*. Dream theory for Metaverse applications: Principles, methods and implications(梦境理论对元宇宙应用的启示). Science & Technology Review, 2022, 40(10): 6-21, in Chinese, 2022. PDF.
• Mengfei Xia, Zipeng Ye, Wang Zhao, Ran Yi, Yong-Jin Liu*. Adversarial attack and interpretability of the deep neural network from the geometric perspective(几何视角下深度神经网络的对抗攻击与可解释性研究进展). Scientia Sinica Informationis, Vol. 51, No. 9, pp.1411-1437, in Chinese, 2021. PDF.
• Zipeng Ye, Wenyu Xia, Zhiyao Sun, Ran Yi, Minjing Yu, Yong-Jin Liu*. From traditional rendering to differentiable rendering: theories, methods and applications(从传统渲染到可微渲染：基本原理、方法和应用). Scientia Sinica Informationis, Vol. 51, No. 7, pp.1043-1067, in Chinese, 2021. PDF.
• Rui Zeng, Yuhui Wen, Wang Zhao, Yong-Jin Liu*. View planning in robot active vision: A survey of systems, algorithms, and applications. Computational Visual Media, Vol. 6, No. 3, pp.225-245, 2020. PDF.
• Yang Weng, Rui Zeng, Chenming Wu, Meng Wang, Xiujie Wang*, Yong-Jin Liu*. A survey on deep-learning-based plant phenotype research in agriculture(基于深度学习的农业植物表型研究综述). Scientia Sinica Vitae, Vol. 49, No. 6, pp.698-716, in Chinese, 2019. PDF.
• Guanhua ZHANG, Minjing YU*, Guo CHEN, Yiheng HAN, Dan ZHANG, Guozhen ZHAO, Yong-Jin LIU*. A review of EEG features for emotion recognition(面向情绪识别的脑电特征研究综述). Scientia Sinica Informationis, Vol. 49, No. 9, pp.1097-1118, in Chinese, 2019. PDF.
• Yong-Jin LIU, Minjing YU, Zipeng YE, Charlie C.L. WANG. Path planning for self-reconfigurable modular robots: a survey（自重构模块化机器人路径规划方法综述）. Scientia Sinica Informationis, Vol. 48, No. 2, pp.143-176, in Chinese, 2018. PDF.
• #Yong-Jin Liu, Minjing Yu, Qiufang Fu, Wenfeng Chen, Ye Liu, Lexing Xie (2016) Cognitive mechanism related to line drawings and its applications in intelligent processing of visual media: a survey. Frontiers of Computer Science, Vol. 10, No. 2, pp.216-232, 2016. PDF.
• Guozhen Zhao, Jinjing Song, Yan Ge, Yong-Jin Liu, Lin Yao, Tao Wen (2016) Advances in Emotion Recognition based on Physiological Big Data（基于生理大数据的情绪识别研究进展）. Journal of Computer Research and Development, Vol. 53, No. 1, pp.80-92, in Chinese, 2016. PDF.
• Dian Fan, Yong-Jin Liu, Ying He (2015) Recent progress in the Laplace-Beltrami operator and its applications to digital geometry processing（数字几何处理中Laplace-Beltrami算子的离散化理论与应用研究综述）. Journal of Computer-Aided Design & Computer Graphics, Vol. 27, No. 4, pp.559-569, in Chinese, 2015. PDF.
• JunLi Zhao, ShiQing Xin, Yong-Jin Liu, XingCe Wang, ZhongKe Wu, MingQuan Zhou, Ying He (2015) A survey on computing geodesic distances on meshes（网格模型上的离散测地线综述）. Scientia Sinica Informationis, Vol. 45, No. 3, pp.313-335, in Chinese, 2015. PDF.
• #Xiaolan Fu, Lian-Hong Cai, Ye Liu, Jia Jia, Wen-Feng Chen, Yi Zhang, Guo-Zhen Zhao, Yong-Jin Liu, Chang-Xu Wu (2014) A computational cognition model of perception, memory and judgment. Science China (Series F: Information Sciences), Sci China Inf Sci, Vol. 57, No. 3, Article No. 032114(1-15), 2014. PDF.
• #Yong-Jin Liu, Qiu-Fang Fu, Ye Liu, Xiaolan Fu (2013) A distributed computational cognitive model for object recognition. Science China (Series F: Information Sciences), Sci China Inf Sci, Vol. 56, No. 9, Article No. 092101(1-13), 2013. PDF.
• Cui-Xia Ma, Yong-Jin Liu, Qiu-Fang Fu, Ye Liu, Xiao-Lan Fu, Guo-Zhong Dai, Hong-An Wang (2013) Video sketch summarization, interaction and cognition analysis（基于草图交互的视频摘要方法及认知分析）. Scientia Sinica Informationis, Vol. 43, No. 8, pp.1012-1023, in Chinese, 2013.
• #Jin-Kai Zhang, Cui-Xia Ma, Yong-Jin Liu, Qiu-Fang Fu, Xiao-Lan Fu (2013) Collaborative interaction for videos on mobile devices based on sketch gestures. Journal of Computer Science and Technology, Vol. 28, No. 5, pp.810-817, 2013.
• #Yong-Jin Liu, Kai Tang, Ming-Fai Yuen (2004) Multiresolution free form object modeling with point sampled geometry. Journal of Computer Science and Technology, Vol. 19, No. 5, pp.607-617, 2004.
• #Yong-Jin Liu, Rong-Qi Qiu, Xiao-Hui Liang (2009) NURBS curve blending using extension. Journal of Zhejiang University SCIENCE A, Vol. 10, No. 4, pp.570-576, 2009.
• Yong-Jin Liu, Kai Tang, Ajay Joneja (2006) A new representation of orientable 2-manifold polygonal surfaces for geometric modeling. Journal of Zhejiang University SCIENCE A, Vol. 7, No. 9, pp.1578-1588, 2006.
• Yong-Jin Liu, Kai Tang, Ajay Joneja (2006) A general framework for progressive point-sampled geometry. Journal of Zhejiang University SCIENCE A, Vol. 7, No. 7, pp.1201-1209, 2006.

Professional Membership

• IEEE Senior Member
• IEEE Computer Society Member
• ACM Senior Member
• ACM SIGGRAPH Member
• Senior Member of China Computer Federation (CCF)
• Deputy Secretary-General, Geometric Design and Computing Committee (GDC) of China Society for Industrial and Applied Mathematics (CSIAM)

Academic Services

• Editor, Communications in Information and Systems
• Keynote speech at Geometric Modeling and Processing 2016 (website)
• Program committee member, Eurographics 2018 (Eurographics 2018)
• Program committee member, ACM Multimedia (ACM MM 2014, ACM MM 2016)
• Program committee member, The Symposium on Geometry Processing (SGP 2014, SGP 2015)
• Program committee member, SIAM/GD - SPM Conference on Geometric and Physical Modeling (GD/SPM 2013, GD/SPM 2015)
• Program committee member, Symposium on Solid and Physical Modeling (SPM 2007, SPM 2012, SPM 2014, SPM 2016)
• Program committee member, Geometric Modeling and Processing (GMP 2012, GMP 2014, GMP 2015, GMP 2016)
• Program committee member, International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics 2005, CAD/Graphics 2013, Best Reviewer Award: Certificate, CAD/Graphics 2015)
• Program committee member, Pacific Graphics (PG2007, PG2012)
• Program committee member, ACM International Conference on Virtual Reality Continuum and Its Applications in Industry (VRCAI 2013, VRCAI 2014, VRCAI 2015)
• Program committee member, Shape Modeling International 2014 (SMI 2014)
• Program committee member, IEEE Eighth International Symposium on Voronoi Diagrams in Science and Engineering (ISVD2011)
• Program committee member, The IEEE International Conference on Automatic Face and Gesture Recognition (FG 2013)

Technical Reports

• TR-2008-01: Some properties of exact geodesics on triangular mesh surfaces.

Funded Projects

• The Natural Science Foundation of China (PI, Project Number U1736220, ongoing)
• The Natural Science Foundation of China (PI, Project Number 61725204, ongoing)
• The National Key Research and Development Plan (Co-PI, Project Number 2016YFB1001200, closed)
• Royal Society-Newton Advanced Fellowship (PI, Project Number NA150431, closed)
• The Natural Science Foundation of China (PI, Project Number 61661130156, closed)
• The Natural Science Foundation of China (Co-PI, Project Number 61521002, closed)
• The Natural Science Foundation of China (Co-PI, Project Number 61432003, closed)
• The Natural Science Foundation of China (PI, Project Number 61322206, closed)
• The Natural Science Foundation of China (PI, Project Number 61272228, closed)
• The National High Technology Research and Development Program of China (PI, Project Number 2012AA011801, closed)
• Program for New Century Excellent Talents in University (PI, NCET-11-0273, closed)
• The National Basic Research Program of China (Co-PI, Project Number 2011CB302202, closed)
• The Natural Science Foundation of China (PI, Project Number 61111130210, closed)
• The National High Technology Research and Development Program of China (PI, Project Number 2007AA01Z336, closed)
• The Natural Science Foundation of China (PI, Project Number 60603085, closed)
• The National Basic Research Program of China (Co-PI, Project Number 2006CB303102, closed)
• The Natural Science Foundation of China (Co-PI, Project Number 60736019, closed)

My Posdoc, Postgraduate Students and Research Assistants/Associates

刘永进教授指导毕业的研究生、指导出站的博士后、在课题组工作过的科研助理和访问学者

	吕露，2007级硕士生，本科：北京交通大学
	Samuel Gmehlin (林翔) (webpage)，2007级硕士生，本科：瑞士苏黎世联邦理工学院，Swiss Federal Institute of Technology (EPFL)
	罗曦 (webpage)，2009级硕士生，本科：中国矿业大学（北京）
	张俊彬 (webpage)，2010级硕士生，本科：浙江大学
	郭文静 (webpage)，2010级硕士生，本科：青海大学
	候季春 (webpage)，2011级硕士生，本科：清华大学
	张金凯 (webpage)，2012级硕士生，本科：清华大学
	张艳秋，2012级硕士生，本科：北京工业大学
	俞承驰，2013级硕士生，本科：北京邮电大学
	Aamir Khan Jadoon (勤力)，2014级硕士生，本科：University of Peshawar，硕士：Quaid-e-Azam University, Islamabad Pakistan
	许春旭，2012级直博生，本科：清华大学
	殷建良，2013级硕士，本科：哈尔滨工程大学
	范典，2014级硕士生，本科：清华大学
	陈杨，2015级硕士生，本科：北京邮电大学
	李秉峻，2015级硕士生，本科：北京邮电大学
	余旻婧，2014级直博生，本科：武汉大学
	翁杨，2016级硕士生，本科：北京科技大学
	张冠华，2017级硕士生，本科：北京邮电大学
	曾睿，2017级硕士生，本科：合肥工业大学
	易冉，2016级直博生，本科：清华大学
	杨轩，研究助理（2020-2021），硕士&本科：北京师范大学。（现在美国University of South Carolina从事Cognitive Neuroscience方向博士生）
	FRAYSSE Nicolas，2019级硕士生，本科：European Institute of Information Technology
	邓迟，2015级硕士，本科：中国传媒大学
	刘旭，2015级硕士，本科：华中科技大学
	谭磊，2015级硕士，本科：北京工商大学
	叶子鹏，2017级直博生，本科：清华大学
	韩义恒，2018级直博生，本科：吉林大学
	孙亚男，2020级硕士生，本科：清华大学
	Zhan Irvin Haozhe（詹昊哲），2020级硕士生，本科：清华大学
	张澍，研究助理（2020-2022），本科：济南大学，硕士：中国科学院心理研究所。（现在德国Max Planck Institute for Biological Cybernetics从事视觉心理物理学方向博士生）
	屈澈，访问学者（2021-2022），本科&博士：复旦大学
	刘娜，访问学者（2022-2023），博士：天津理工大学
	闫飞，访问学者（2022-2023），博士：东京工业大学
	杜星，行政助理（2019-2022），本科&硕士：法国昂热大学
	温玉辉，博士后，（2020--2023），博士：中国科学院大学（中科院计算所）
	刘心阁，博士后，（2021--2023），博士：中山大学
	刘舫，博士后，（2021-2023），博士：中国科学院大学（中科院软件所）
	周超，博士后，（2021-2023），博士：辽宁师范大学
工作或在读：	杜欣欣，梁亚倩，刘淮松，赵旺，舒叶芷，夏萌霏，胡钰彬，杨培，孙志尧，樊若雨，林裕鸿，嵇文麒，吕天，叶盛，何雨泽，王劭聪，雷长松，刘梓熙，曾令栀，刘妮琦，徐功达，黄建源，盛芊芊，董祯慧，任子琪