[1] Chengyang Liu, Zixuan Lin, Miaolin Han, Michael K. Ng, huibin Li*.  Distilling Quasi-Conformal Mapping: A Generalizable and Efficient Solution for Wide-Angle Correction[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), 2026: 19686-19695.

[2] Xinyi Li, Huibin Li*. Single Image Reflection Separation via Visual State Space Model and Feature Interactions[C]//Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2025: 355-369.

[3] Xintong Han, Huibin Li*. TTT-MOT: A Test-Time Training and Adaptive Iterative Scale-Up ExpansionIoU for Multiple Object Tracking inSports[C]//Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2025:481-495.

[4] Miaolin Han, Huibin Li*. DocMamba. Robust Document Image Dewarping via Selective State Space Sequence Modeling[C]//International Conference on Multimedia Modeling(MMM), 2025:304-318.

[5] Fengxun Sun, Cuican Yu, Huibin Li*. Facial Adversarial Sample Augmentation for Robust Low-quality 3D Face Recognition[C]//Chinese Conference on Biometric Recognition(CCBR), 2023:160-169.

[6] Jingting Wang, Cuican Yu, Huibin Li*. Multi-modal Feature Guided Detailed 3D Face Reconstruction from a Single Image[C]//Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023:356-368.

[7] Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, Xiaodan Liang, Huibin Li*, Zongben Xu, Songcen Xu, Weizhang, Hang Xu.Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images[C]//IEEE International Conference on Computer Vision (ICCV), 2023:15326-15337.

[8] Shiyun Mao, Ruolin Chen, Huibin Li. Learning Optimal Transport Mapping of Joint Distribution for Cross-scenario Face Anti-spoofing[C]//Chinese Conference on Biometric Recognition(CCBR), 2022:169-179.

[9] Jingbo Zhou, Ruiqi Zhang, Kunkun Hao, Huibin Li*, et al.Two-Stage Quality Assessment Method of Power Equipment X-Ray Image Based on Improved CenterNet[C]//2021 IEEE Far East NDT New Technology & Application Forum (FENDT).IEEE,2021:196-207. （优秀英文论文奖）

[10] Zihui Zhang, Cuican Yu, Shuang Xu, Huibin Li*. Learning flexibly distributional representation for low-quality 3D face recognition[C]//(AAAI), 2021: 3465-3473.

[11] Zihui Zhang, Cuican Yu, Huibin Li*, Jian Sun, Feng Liu. Learning Distribution Independent Latent Representation for 3D Face Disentanglement[C]//(3DV),IEEE, 2020: 848-857.

[12] Lingjiang Xie, Cuican Yu, Huibin Li*, Jihua Zhu. ClusterFace: Clustering-Driven Deep Face Recognition[C]//(CCBR), 2018: 377-386

[13] Asim Jan, Huaxiong Ding, Hongying Meng, Liming Chen, Huibin Li*. Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition[C]// (FG), IEEE, 2018: 466-472.

[14] Ruixuan Yu, Jian Sun, Huibin Li*. Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis[C]//(ECCV), Workshops, 2018: 377-394.

[15] Xiaofan Wei, Huibin Li*, Jian Sun, Liming Chen. Unsupervised Domain Adaptation with Regularized Optimal Transport for Multimodal 2D+3D Facial Expression Recognition. FG 2018: 31-37.

[16] Weijian Li, Di Huang, Huibin Li*, Yunhong Wang:Automatic 4D Facial Expression Recognition Using Dynamic Geometrical Image Network. FG 2018: 24-30.

[17] Huibin Li*, Jian Sun, Liming Chen:Location-sensitive sparse representation of deep normal patterns forexpression-robust 3D face recognition. IJCB 2017: 234-242.

[18] Weijian Li, Yunhong Wang, Huibin Li*, Di Huang:Enhancing 3D Facial Expression Recognition by Exaggerating Geometry Characteristics. CCBR 2017:191-200.

[19] Xiaofan Wei, Huibin Li*, Xianfeng David Gu:Three Dimensional Face Recognition via Surface Harmonic Mapping and Deep Learning. CCBR 2017: 66-76.

[20] Yan Yang, Jian Sun, Huibin Li*, Zongben Xu:Deep ADMM-Net for Compressive Sensing MRI. NIPS 2016: 10-18.

[21] Heran Yang, Jian Sun, Huibin Li*, Lisheng Wang, Zongben Xu:Deep Fusion Net for Multi-atlas Segmentation: Application to Cardiac MR Images. MICCAI(2) 2016: 521-528.

[22] Xiaofang Wang, Huibin Li*, C. E. Bichot, S. Masnou, L. Chen. Sparse Coding and Mid-level Super-pixel Feature for L0-Graph based Unsupervised Image Segmentation.CAIP2013: 160-168.

[23] Xiaofang Wang, Huibin Li*, C. E. Bichot, S. Masnou, L. Chen. A Graph-cut Approach to ImageSegmentation using Affinity Graph based on L0 Sparse Representation of Features. ICIP2013:4019-4023.

[24] Wei Zeng, Huibin Li*, Jean-Marie Morvan, Liming Chen, David, Gu Xianfeng. An Automatic 3DExpression Recognition Framework based on Sparse Representation of Conformal Images.FG 2013:1-8.

[25]Huibin Li*, Di Huang, Liming Chen, Yunhong Wang, Jean-Marie Morvan. A Group of FacialNormal Descriptors for Recognizing 3D Identical Twins.BTAS 2012: 271-277.

[26] Huibin Li*, Di Huang, Jean-Marie Morvan, Liming Chen, Yunhong Wang, 3D Facial Expression Recognition via Multiple Kernel Learning of Multi-Scale Local Normal Patterns.ICPR, 2012:2577-2580.

[27] Remco C. Veltkamp, Stefan van Jole, Hassen Drira, Boulbaba Ben Amor, Mohamed Daoudi, Huibin Li*, Liming Chen, et al. 3D Face Model Retrieval. Euro-graphics Workshop on 3D Object Retrieval, 3DOR 2011:89-95. (Awarded the 1st performance in terms of Rank one recognition rate).

[28]Huibin Li*, Di Huang, Jean-Marie Morvan, Liming Chen. Learning Weighted Sparse Representation of Encoded Facial Normal Information for Expression-Robust 3D Face Recognition. IJCB, 2011:1-7.

[29] Huibin Li*, Jean-Marie Morvan, Liming Chen. 3D Facial Expression Recognition Based on Histograms of Surface Differential Quantities. ACIVS 2011: 483-494.

[30] Huibin Li*, Di Huang, Pierre Lemaire, Jean-Marie Morvan, Liming Chen. Expression Robust 3DFace Recognition via Mesh-based Histograms of Multiple Order Surface Differential Quantities.ICIP 2011: 3055-3056.

[31]Huibin Li*, Feng Liu. Image De-noising Via Sparse and Redundant Representation over LearnedDictionaries in Wavelet Domain. ICIG 2009: 754-758.