| 2025 | CVPR | LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes. | Xiang Xu, Lingdong Kong, Hui Shuai, Liang Pan, Ziwei Liu, Qingshan Liu |
| 2025 | ICCV | Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations. | Xiang Xu, Lingdong Kong, Song Wang, Chuanwei Zhou, Qingshan Liu |
| 2025 | ISMAR | MMG: Manipulation-Aware Holistic Human Motion Generation from Sparse Tracking Signals. | Xuehuai Shi, Renzhi Xiao, Yilun Sheng, Lili Wang, Jian Wu, Xiaobai Chen, Jieming Yin, Qingshan Liu |
| 2024 | AAAI | PointAttN: You Only Need Attention for Point Cloud Completion. | Jun Wang, Ying Cui, Dongyan Guo, Junxia Li, Qingshan Liu, Chunhua Shen |
| 2024 | CVPR | Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection. | Zhiyuan Yan, Yuhao Luo, Siwei Lyu, Qingshan Liu, Baoyuan Wu |
| 2024 | ECCV | 4D Contrastive Superflows are Dense 3D Representation Learners. | Xiang Xu, Lingdong Kong, Hui Shuai, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Qingshan Liu |
| 2023 | ICCV | Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning. | Tiankang Su, Huihui Song, Dong Liu, Bo Liu, Qingshan Liu |
| 2023 | ICIG | ACLM: Adaptive Compensatory Label Mining for Facial Expression Recognition. | Chengguang Liu, Shanmin Wang, Hui Shuai, Qingshan Liu |
| 2023 | ICONIP | Outer Synchronization for Multi-derivative Coupled Complex Networks with and without External Disturbance. | Han-Yu Wu, Qingshan Liu |
| 2023 | ICONIP | A Distributed Projection-Based Algorithm with Local Estimators for Optimal Formation of Multi-robot System. | Yuanyuan Yue, Qingshan Liu, Ziming Zhang |
| 2022 | AAAI | ReX: An Efficient Approach to Reducing Memory Cost in Image Classification. | Xuwei Qian, Renlong Hang, Qingshan Liu |
| 2022 | ICPR | Transformer-based Residual Network for Hyperspectral Snapshot Compressive Reconstruction. | Junru Huang, Yubao Sun, Jiaxuan Wen, Qingshan Liu |
| 2022 | VCIP | High-frequency guided CNN for video compression artifacts reduction. | Li Yu, Wenshuai Chang, Qingshan Liu, Moncef Gabbouj |
| 2021 | AAAI | Robust Lightweight Facial Expression Recognition Network with Label Distribution Training. | Zengqun Zhao, Qingshan Liu, Feng Zhou |
| 2021 | CVPR | DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance. | Kaihua Zhang, Mingliang Dong, Bo Liu, Xiao-Tong Yuan, Qingshan Liu |
| 2021 | ICCV | Deep Transport Network for Unsupervised Video Object Segmentation. | Kaihua Zhang, Zicheng Zhao, Dong Liu, Qingshan Liu, Bo Liu |
| 2020 | AAAI | Deep Object Co-Segmentation via Spatial-Semantic Network Modulation. | Kaihua Zhang, Jin Chen, Bo Liu, Qingshan Liu |
| 2020 | CVPR | Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection. | Kaihua Zhang, Tengpeng Li, Shiwen Shen, Bo Liu, Jin Chen, Qingshan Liu |
| 2020 | ECCV | Learning Memory Augmented Cascading Network for Compressed Sensing of Images. | Jiwei Chen, Yubao Sun, Qingshan Liu, Rui Huang |
| 2020 | ECCV | ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices. | Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng |
| 2020 | ECCV | Meta-learning with Network Pruning. | Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu |
| 2019 | AISTATS | Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning. | Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Junzhou Huang, Dimitris N. Metaxas |
| 2019 | CVPR | Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing. | Kaihua Zhang, Tengpeng Li, Bo Liu, Qingshan Liu |
| 2019 | ISNN | Mixed-Norm Projection-Based Iterative Algorithm for Face Recognition. | Qingshan Liu, Jiang Xiong, Shaofu Yang |
| 2018 | ECCV | VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results. | Longyin Wen, Pengfei Zhu, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Chenfeng Liu, Hao Cheng, Xiaoyu Liu, Wenya Ma, Qinqin Nie, Haotian Wu, Lianjie Wang, Asanka G. Perera, Baochang Zhang, Byeongho Heo, Chunlei Liu, Dongdong Li, Emmanouil Michail, Hanlin Chen, Hao Liu, Haojie Li, Ioannis Kompatsiaris, Jian Cheng, Jiaqing Fan, Jie Zhang, Jin Young Choi, Jing Li, Jinyu Yang, Jongwon Choi, Juanping Zhao, Jungong Han, Kaihua Zhang, Kaiwen Duan, Ke Song, Konstantinos Avgerinakis, Kyuewang Lee, Lu Ding, Martin Lauer, Panagiotis Giannakeris, Peizhen Zhang, Qiang Wang, Qianqian Xu, Qingming Huang, Qingshan Liu, Robert Laganire, Ruixin Zhang, Sangdoo Yun, Shengyin Zhu, Sihang Wu, Stefanos Vrochidis, Wei Tian, Wei Zhang, Weidong Chen, Weiming Hu, Wenhao Wang, Wenhua Zhang, Wenrui Ding, Xiaohao He, Xiaotong Li, Xin Zhang, Xinbin Luo, Xixi Hu, Yang Meng, Yangliu Kuai, Yanyun Zhao, Yaxuan Li, Yifan Yang, Yifan Zhang, Yong Wang, Yuankai Qi, Zhipeng Deng, Zhiqun He |
| 2018 | ICPR | Joint Head Pose Estimation with Multi-task Cascaded Convolutional Networks for Face Alignment. | Zhenni Cai, Qingshan Liu, Shanmin Wang, Bruce Yang |
| 2018 | ISNN | A Distributed Algorithm Based on Multi-agent Network for Solving Linear Algebraic Equation. | Qingshan Liu, Jiang Xiong, Jing Zhong, Hong Ying, Kaixuan Li |
| 2017 | AAAI | Self-Paced Multi-Task Learning. | Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha |
| 2017 | CVPR | Stacked Hourglass Network for Robust Facial Landmark Localisation. | Jing Yang, Qingshan Liu, Kaihua Zhang |
| 2017 | ICML | Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization. | Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas |
| 2017 | ICONIP | Cognitive Load Recognition Using Multi-threshold United Complex Network. | Jian Shang, Qingshan Liu |
| 2017 | ICONIP | Elastic Net Based Weighted Iterative Method for Image Classification. | Bingrong Xu, Qingshan Liu |
| 2017 | IGARSS | Multicore implementation of the multi-scale adaptive deep pyramid matching model for remotely sensed image classification. | Mercedes Eugenia Paoletti, Juan Mario Haut, Javier Plaza, Antonio Plaza, Qingshan Liu, Renlong Hang |
| 2017 | IECON | A continuous-time algorithm based on multi-agent system for distributed least absolute deviation subject to hybrid constraints. | Qingshan Liu, Kaixuan Li |
| 2017 | ISNN | Cognitive Load Recognition Using Multi-channel Complex Network Method. | Jian Shang, Wei Zhang, Jiang Xiong, Qingshan Liu |
| 2016 | AAAI | Decentralized Robust Subspace Clustering. | Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas |
| 2016 | AAAI | Spatially Regularized Streaming Sensor Selection. | Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang |
| 2016 | IJCAI | Efficient k-Support-Norm Regularized Minimization via Fully Corrective Frank-Wolfe Method. | Bo Liu, Xiao-Tong Yuan, Shaoting Zhang, Qingshan Liu, Dimitris N. Metaxas |
| 2016 | MMM | Advancing Iterative Quantization Hashing Using Isotropic Prior. | Lai Li, Guangcan Liu, Qingshan Liu |
| 2015 | ICCV | Additive Nearest Neighbor Feature Maps. | Zhenzhen Wang, Xiao-Tong Yuan, Qingshan Liu, Shuicheng Yan |
| 2015 | ICIG | Hierarchical Convolutional Neural Network for Face Detection. | Dong Wang, Jing Yang, Jiankang Deng, Qingshan Liu |
| 2015 | ISNN | Continuous-Time Multi-agent Network for Distributed Least Absolute Deviation. | Qingshan Liu, Yan Zhao, Long Cheng |
| 2014 | CVPR | Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization. | Xiao-Tong Yuan, Qingshan Liu |
| 2014 | ECCV | Fast Visual Tracking via Dense Spatio-temporal Context Learning. | Kaihua Zhang, Lei Zhang, Qingshan Liu, David Zhang, Ming-Hsuan Yang |
| 2014 | ICPR | Multiple-Output Regression with High-Order Structure Information. | Changsheng Li, Lin Yang, Qingshan Liu, Fanjing Meng, Weishan Dong, Yu Wang, Jingmin Xu |
| 2014 | ICPR | Discriminative Context Models for Collective Activity Recognition. | Chaoyang Zhao, Wei Fu, Jinqiao Wang, Xiao Bai, Qingshan Liu, Hanqing Lu |
| 2014 | IJCNN | A one-layer discrete-time projection neural network for support vector classification. | Wei Zhang, Qingshan Liu |
| 2013 | ICIG | Region-Based Spatial Sampling for Image Classification. | Pengpeng Ji, Shengye Yan, Qingshan Liu |
| 2013 | MMM | A Weighted One Class Collaborative Filtering with Content Topic Features. | Ting Yuan, Jian Cheng, Xi Zhang, Qingshan Liu, Hanqing Lu |
| 2012 | CVPR | Learning ordinal discriminative features for age estimation. | Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu |
| 2012 | CVPR | Learning active facial patches for expression analysis. | Lin Zhong, Qingshan Liu, Peng Yang, Bo Liu, Junzhou Huang, Dimitris N. Metaxas |
| 2012 | ICPR | Learning distance metric regression for facial age estimation. | Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu |
| 2011 | BMVC | A Framework for the Recognition of Nonmanual Markers in Segmented Sequences of American Sign Language. | Nicholas Michael, Peng Yang, Qingshan Liu, Dimitris N. Metaxas, Carol Neidle |
| 2011 | CVPR | Recognizing expressions from face and body gesture by temporal normalized motion and appearance features. | Shizhi Chen, Yingli Tian, Qingshan Liu, Dimitris N. Metaxas |
| 2011 | CVPR | Abnormal detection using interaction energy potentials. | Xinyi Cui, Qingshan Liu, Mingchen Gao, Dimitris N. Metaxas |
| 2011 | ICANN | A One-Layer Dual Recurrent Neural Network with a Heaviside Step Activation Function for Linear Programming with Its Linear Assignment Application. | Qingshan Liu, Jun Wang |
| 2011 | ISCAS | A one-layer recurrent neural network for constrained single-ratio linear fractional programming. | Qingshan Liu, Jun Wang |
| 2010 | CVPR | Image retrieval via probabilistic hypergraph ranking. | Yuchi Huang, Qingshan Liu, Shaoting Zhang, Dimitris N. Metaxas |
| 2010 | CVPR | Exploring facial expressions with compositional features. | Peng Yang, Qingshan Liu, Dimitris N. Metaxas |
| 2010 | ICANN | A One-Layer Dual Neural Network with a Unipolar Hard-Limiting Activation Function for Shortest-Path Routing. | Qingshan Liu, Jun Wang |
| 2010 | MICCAI | Lesion-Specific Coronary Artery Calcium Quantification for Predicting Cardiac Event with Multiple Instance Support Vector Machines. | Qingshan Liu, Zhen Qian, Idean Marvasty, Sarah Rinehart, Szilard Voros, Dimitris N. Metaxas |
| 2009 | CVPR | Video object segmentation by hypergraph cut. | Yuchi Huang, Qingshan Liu, Dimitris N. Metaxas |
| 2009 | ICCV | RankBoost with l1 regularization for facial expression recognition and intensity estimation. | Peng Yang, Qingshan Liu, Dimitris N. Metaxas |
| 2009 | ICIP | Expanded bag of words representation for object classification. | Tinglin Liu, Jing Liu, Qingshan Liu, Hanqing Lu |
| 2009 | ISNN | A Discrete-Time Recurrent Neural Network with One Neuron for k-Winners-Take-All Operation. | Qingshan Liu, Jinde Cao, Jinling Liang |
| 2008 | CVPR | Facial expression recognition using encoded dynamic features. | Peng Yang, Qingshan Liu, Xinyi Cui, Dimitris N. Metaxas |
| 2008 | ECCV | Similarity Features for Facial Event Analysis. | Peng Yang, Qingshan Liu, Dimitris N. Metaxas |
| 2008 | ICONIP | A One-Layer Recurrent Neural Network for Non-smooth Convex Optimization Subject to Linear Equality Constraints. | Qingshan Liu, Jun Wang |
| 2008 | ICPR | A variational inference based approach for image segmentation. | Zhenglong Li, Qingshan Liu, Jian Cheng, Hanqing Lu |
| 2008 | ICPR | Lennard-Jones force field for Geometric Active Contour. | Zhenglong Li, Qingshan Liu, Hanqing Lu, Dimitris N. Metaxas |
| 2008 | IJCNN | A one-layer recurrentneural network for convex programming. | Qingshan Liu, Jun Wang |
| 2008 | IGARSS | A Multilevel Contextual Approach to Change Detection for very high Resolution Images. | Chunlei Huo, Keming Chen, Zhixin Zhou, Hanqing Lu, Jian Cheng, Qingshan Liu |
| 2008 | IGARSS | Urban Change Detection based on Local Features and Multiscale Fusion. | Chunlei Huo, Zhixin Zhou, Qingshan Liu, Jian Cheng, Hanqing Lu, Keming Chen |
| 2008 | MICCAI | Identifying Regional Cardiac Abnormalities from Myocardial Strains Using Spatio-temporal Tensor Analysis. | Zhen Qian, Qingshan Liu, Dimitris N. Metaxas, Leon Axel |
| 2007 | ACCV | Image Segmentation Using Co-EM Strategy. | Zhenglong Li, Jian Cheng, Qingshan Liu, Hanqing Lu |
| 2007 | ACCV | Face Mis-alignment Analysis by Multiple-Instance Subspace. | Zhiguo Li, Qingshan Liu, Dimitris N. Metaxas |
| 2007 | BMVC | Topology-Preserved Diffusion Distance for Histogram Comparison. | Wang Yan, Qiqi Wang, Qingshan Liu, Hanqing Lu, Songde Ma |
| 2007 | CVPR | Boosting Coded Dynamic Features for Facial Action Units and Facial Expression Recognition. | Peng Yang, Qingshan Liu, Dimitris N. Metaxas |
| 2007 | ICCV | A Component Based Deformable Model for Generalized Face Alignment. | Yuchi Huang, Qingshan Liu, Dimitris N. Metaxas |
| 2007 | IJCNN | A One-layer Recurrent Neural Network with a Unipolar Hard-limiting Activation Function for k-Winners-Take-All Operation. | Qingshan Liu, Jun Wang |
| 2007 | MICCAI | Registration of Lung Tissue Between Fluoroscope and CT Images: Determination of Beam Gating Parameters in Radiotherapy. | Sukmoon Chang, Jinghao Zhou, Qingshan Liu, Dimitris N. Metaxas, Bruce G. Haffty, Sung N. Kim, Salma J. Jabbour, Ning J. Yue |
| 2007 | MMM | Automatic TV Logo Detection, Tracking and Removal in Broadcast Video. | Jinqiao Wang, Qingshan Liu, Lingyu Duan, Hanqing Lu, Changsheng Xu |
| 2006 | ACCV | A Geometric Contour Framework with Vector Field Support. | Zhenglong Li, Qingshan Liu, Hanqing Lu |
| 2006 | ACCV | Boosting Multi-gabor Subspaces for Face Recognition. | Qingshan Liu, Hongliang Jin, Xiaoou Tang, Hanqing Lu, Songde Ma |
| 2006 | ACCV | Automatic Moving Object Segmentation with Accurate Boundaries. | Jia Wang, Haifeng Wang, Qingshan Liu, Hanqing Lu |
| 2006 | ACCV | Fast Global Motion Estimation Via Iterative Least-Square Method. | Jia Wang, Haifeng Wang, Qingshan Liu, Hanqing Lu |
| 2006 | ACCV | Multiple Similarities Based Kernel Subspace Learning for Image Classification. | Wang Yan, Qingshan Liu, Hanqing Lu, Songde Ma |
| 2006 | ICONIP | A Recurrent Neural Network for Non-smooth Convex Programming Subject to Linear Equality and Bound Constraints. | Qingshan Liu, Jun Wang |
| 2006 | ICPR | A Geometric Active Contour Framework using Multi-Cue and Local Feature. | Zhenglong Li, Qingshan Liu, Hanqing Lu |
| 2006 | ICPR | Occlusion Robust Face Recognition with Dynamic Similarity Features. | Qingshan Liu, Wang Yan, Hanqing Lu, Songde Ma |
| 2006 | ISNN | A Delayed Lagrangian Network for Solving Quadratic Programming Problems with Equality Constraints. | Qingshan Liu, Jun Wang, Jinde Cao |
| 2006 | KES | Dynamic Similarity Kernel for Visual Recognition. | Wang Yan, Qingshan Liu, Hanqing Lu, Songde Ma |
| 2005 | CVPR | A Nonlinear Approach for Face Sketch Synthesis and Recognition. | Qingshan Liu, Xiaoou Tang, Hongliang Jin, Hanqing Lu, Songde Ma |
| 2005 | MVA | Fast Global Motion Estimation via Modified ILSE Method. | Jia Wang, Hanqing Lu, Qingshan Liu |
| 2004 | ICIG | Face detection using improved LBP under Bayesian framework. | Hongliang Jin, Qingshan Liu, Hanqing Lu, Xiaofeng Tong |
| 2004 | ICIG | Robust color-based tracking. | Feng Liu, Qingshan Liu, Hanqing Lu |
| 2004 | ICIG | Replay detection in broadcasting sports video. | Xiaofeng Tong, Hanqing Lu, Qingshan Liu, Hongliang Jin |
| 2004 | ICIP | A supervised nonlinear local embedding for face recognition. | Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen |
| 2004 | ICIP | Semantic units based events detection in soccer videos. | Xiaofeng Tong, Qingshan Liu, Hanqing Lu |
| 2004 | ICIP | Feature space analysis using low-order tensor voting. | Jia Wang, Hanqing Lu, Qingshan Liu |
| 2004 | ICPR | Texture Classification Using Kernel Independent Component Analysi. | Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen |
| 2004 | ICPR | Distance Based Kernel PCA Image Reconstruction. | Qingshan Liu, Jian Cheng, Hanqing Lu, Songde Ma |
| 2004 | ICPR | Kernel Scatter-Difference Based Discriminant Analysis For Face Recognition. | Qingshan Liu, Xiaoou Tang, Hanqing Lu, Songde Ma |
| 2004 | ICPR | An Effective and Fast Soccer Ball Detection and Tracking Method. | Xiao-Feng Tong, Han-Qing Lu, Qingshan Liu |
| 2004 | ICPR | Tensor Voting Toward Feature Space Analysis. | Jia Wang, Hanqing Lu, Qingshan Liu |
| 2004 | KES | Random Independent Subspace for Face Recognition. | Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen |
| 2004 | KES | Improving ICA Performance for Modeling Image Appearance with the Kernel Trick. | Qingshan Liu, Jian Cheng, Hanqing Lu, Songde Ma |
| 2002 | ICPR | Solving the Small Sample Size Problem of LDA. | Rui Huang, Qingshan Liu, Hanqing Lu, Songde Ma |
| 2002 | ICPR | Kernel-Based Optimized Feature Vectors Selection and Discriminant Analysis for Face Recognition. | Qingshan Liu, Rui Huang, Hanqing Lu, Songde Ma |