Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang, Tao Mei, Meng Wang and Hong-Jiang Zhang. Correlative Multi-Label Video Annotation with Temporal Kernels, in ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), Vol. 5, No. 1, 2008.[pdf]
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang, Hong-Jiang Zhang. Two-Dimensional Multi-Label Active Learning with An Efficient Online Adaptation Model for Image Classification, in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol.31, no.10, 2009.[pdf][code]
Meng Wang, Xian-Sheng Hua, Richang Hong, Jinhui Tang, Guo-Jun Qi, Yan Song. Unified Video Annotation via Multi-Graph Learning, in IEEE Transactions on Circuits and Systems for Video Technology (CSVT), vol. 19, no. 5, 2009.
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang, Hong-Jiang Zhang. Image Classification with Kernelized Spatial-Context, in IEEE Transactions on Multimedia (T-MM), Issue 4, Volume 12, page 278-287, June 2010.[pdf]
Guo-Jun Qi, Charu Aggarwal, Qi Tian, Ji Heng, Thomas Huang. Exploring Context and Content Links in Social Media: A Latent Space Method, in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Volume 34, Issue 5, May 2012.[pdf]
Guo-Jun Qi, Min-Hsuan Tsai, Shen-Fu Tsai, Liangliang Cao, Thomas Huang. Web-Scale Multimedia Information Networks, in Proceedings of the IEEE (P IEEE), Volume 100, Issue 9, 2012.
Fuming Sun, Jinhui Tang, Haojie Li, Guo-Jun Qi, Thomas S. Huang. Multi-Label Image Categorization with Sparse Factor Representation, in IEEE Transactions on Image Processing (T-IP), Volume 23, Number 3, pp. 1028-1037, March 2014.
Guo-Jun Qi, Charu Aggarwal, and Thomas Huang. Breaking the Barrier to Transferring Link Information across Networks, the issue of the best ICDE 2013 papers in IEEE Transactions on Knowledge and Data Engineering (T-KDE), Volume 27, Issue 7, pp. 1741 - 1753, July 2015.[pdf]
Jinhui Tang, Xiangbo Shu, Guo-Jun Qi, Zechao Li, Meng Wang, Shuicheng Yan, and Ramesh Jain.Tri-clustered Tensor Completion for Social-Aware Tag Refinement, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Vol. 39, No. 8, pp. 1662 - 1674, August 2017.[pdf]
Guo-Jun Qi, Wei Liu, Charu Aggarwal, and Thomas Huang. Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes, in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Volume 39, Issue 7, July 2016.[pdf]
Kai Li§, Guo-Jun Qi*, Jun Ye, Kien Hua. Linear Subspace Ranking Hashing for Cross-modal Retrieval, in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Volume 39, Issue 9, September 2016.[pdf][code]
Jun Ye§, Hao Hu§, Guo-Jun Qi*, Kien Hua. A Temporal Order Modeling Approach to Human Action Recognition from Multimodal Sensor Data, in ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 13 Issue 2, Article No. 14, May 2017.[pdf]
Jinhui Tang, Shiyu Chang, Guo-Jun Qi, Qi Tian, Yong Rui, Thomas S. Huang. LEMO-MM: Learning Structured Model by Probabilistic Logic Ontology Tree for Multimedia, IEEE Transactions on Image Processing (T-IP), Volume 26, Issue 1, page 196-207, 2017.
Jun Ye§, Guo-Jun Qi*, Naifan Zhuang§, Hao Hu§, Kien A. Hua. Learning Compact Features for Human Activity Recognition via Probabilistic First-Take-All, appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), October 2018.
Lu Jin§, Kai Li§, Hao Hu§, Guo-Jun Qi, Jinhui Tang. Semantic Neighbor Graph Hashing for Multimodal Retrieval, in IEEE Transactions on Image Processing (T-IP), Volume 27, Issue 3, pages 1405-1417, March 2018.
Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Zechao Li, Yu-Gang Jiang, Shuicheng Yan. Image Classification with Tailored Fine-Grained Dictionaries, in IEEE Transactions on Circuits and Systems for Video Technology (CSVT), Volume 28, Number 2, page 454-467, 2018.
Xiangyu Zhu, Hao Liu, Zhen Lei, Hailin Shi, Fan Yang, Dong Yi, Guo-Jun Qi, Stan Z. Li. Large-scale Bisample Learning on ID Versus Spot Face Recognition, in International Journal of Computer Vision (IJCV), Volume 127, Number 6-7, June 2019.[pdf]
Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Wei Liu, Jian Yang. Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition, in IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2019.[pdf]
Guo-Jun Qi. Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities, to appear in International Journal of Computer Vision (IJCV), 2019.[pdf]
Lu Jin§, Xiangbo Shu, Kai Li, Zechao Li, Guo-Jun Qi, Jinhui Tang. Deep Ordinal Hashing With Spatial Attention, in IEEE Transactions on Image Processing (T-IP), Volume 5, Issue 5, 2019.
Guo-Jun Qi, Liheng Zhang, Feng Lin, Xiao Wang. Learning Generalized Transformation Equivariant Representations via Autoencoding Transformations, in IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2020.[pdf]
Guo-Jun Qi, Jiebo Luo. Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods, in IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2020.[pdf]
Xiao Wang, Daisuke Kihara, Jiebo Luo, Guo-Jun Qi. EnAET: A Self-Trained Framework for Semi-Supervised and Supervised Learning with Ensemble Transformations, in IEEE Transactions on Image Processing (T-IP), November, 2020.
Mohsen Joneidi, Alireza Zaeemzadeh, Behzad Shahrasbi, Guo-Jun Qi, Nazanin Rahnavard, E-Optimal Sensor Selection for Compressive Sensing-Based Purposes, in IEEE Transactions on Big Data, Volumn 6, Issue 1, March 2020. (featured in IEEE Computer's "Spotlight on Transactions" Column)
Sanyi Zhang, Guo-Jun Qi, Xiaochun Cao, Zhanjie Song, Jie Zhou. Human Parsing with Pyramidical Gather-Excite Context, in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), April, 2020.
Guangwei Gao, Yi Yu, Jian Yang, Yujie Li, Guo-Jun Qi. Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition, in IEEE Transactions on Circuits and Systems for Video Technology (CSVT), 2020.[pdf]
Yuhui Xu, Lingxi Xie, Wenrui Dai, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Hongkai Xiong, Qi Tian. Partially-Connected Neural Architecture Search for Reduced Computational Redundancy, in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021.
Haohang Xu, Hongkai Xiong, Guo-Jun Qi. K-Shot Contrastive Learning of Visual Features with Multiple Instance Augmentations, in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021.[pdf]
Xiang Gao, Wei Hu, and Guo-Jun Qi. Self-Supervised Graph Representation Learning via Topology Transformations, in IEEE Transactions on Knowledge and Data Engineering (T-KDE), 2021.[pdf]
Ruin Wang§, Zuxuan Wu, Zejia Weng, Jingjing Chen, Guo-Jun Qi, Yu-Gang Jiang. Cross-domain Contrastive Learning for Unsupervised Domain Adaptation, in IEEE Transactions on Multimedia (T-MM), 2022.[pdf]
Sanyi Zhang§, Xiaochun Cao, Guo-Jun Qi, Zhanjie Song, and Jie Zhou. AIParsing: Anchor-free Instance-level Human Parsing, in IEEE Transactions on Image Processing (T-IP), 2022.[pdf]
Xiao Wang, Guo-Jun Qi. Contrastive Learning with Stronger Augmentations, in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), August, 2022.[pdf]
Xiao Wang, Yuhang Huang, Dan Zeng, Guo-Jun Qi. CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-adversarial Contrastive Learning, in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), March, 2023.[pdf]
Weiyao Lin, Huabin Liu, Shizhan Liu, Yuxi Li, Hongkai Xiong, Guo-Jun Qi, Nicu Sebe. HiEve: A Large-Scale Benchmark for Human-Centric Video Analysis in Complex Events, in International Journal of Computer Vision (IJCV), Volume 131, Number 1, Janaury 2023.
Ying Wang, Ziwei Xuan, Chiuman Ho, Guo-Jun Qi. Adversarial Dense Contrastive Learning for Semi-Supervised Semantic Segmentation, in IEEE Transactions on Image Process (T-IP), Volume 32, page 4459-4471, 2023.
Liangxi Liu, Xi Jiang, Feng Zheng, Hong Chen, Guo-Jun Qi, Heng Huang, Ling Shao. A Bayesian Federated Learning Framework with Online Laplace Approximation, in Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), October, 2023.[pdf]