Similarity maps and hierarchical clustering for annotating FT-IR spectral images. - Qiaoyong Zhong; Chen Yang; Frederik Großerüschkamp; Angela Kallenbach-Thieltges; Peter Serocka; Klaus Gerwert; Axel Mosig (BMC Bioinform., 2013)

Identifying minimally redundant wavenumbers for vibrational microspectroscopic image analysis. - Qiaoyong Zhong; Daniel Niedieker; Dennis Petersen; Klaus Gerwert; Axel Mosig (ICNC, 2014)

Skeleton-based action recognition with convolutional neural networks. - Chao Li 064; Qiaoyong Zhong; Di Xie; Shiliang Pu (ICME Workshops, 2017)

Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation. - Chao Li 064; Qiaoyong Zhong; Di Xie; Shiliang Pu (IJCAI, 2018)

Learning Incremental Triplet Margin for Person Re-Identification. - Yingying Zhang; Qiaoyong Zhong; Liang Ma; Di Xie; Shiliang Pu (AAAI, 2019)

Collaborative Spatiotemporal Feature Learning for Video Action Recognition. - Chao Li 064; Qiaoyong Zhong; Di Xie; Shiliang Pu (CVPR, 2019)

Collaborative Spatio-temporal Feature Learning for Video Action Recognition. - Chao Li 064; Qiaoyong Zhong; Di Xie; Shiliang Pu (CoRR, 2019)

Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition. - Fanfan Ye; Shiliang Pu; Qiaoyong Zhong; Chao Li 064; Di Xie; Huiming Tang (ACM Multimedia, 2020)

IROS 2019 Lifelong Robotic Vision Challenge - Lifelong Object Recognition Report. - Qi She; Fan Feng; Qi Liu 042; Rosa H. M. Chan; Xinyue Hao; Chuanlin Lan; Qihan Yang; Vincenzo Lomonaco; German Ignacio Parisi; Heechul Bae; Eoin Brophy; Baoquan Chen; et al. (CoRR, 2020)

Cascade region proposal and global context for deep object detection. - Qiaoyong Zhong; Chao Li 064; Yingying Zhang; Di Xie; Shicai Yang; Shiliang Pu (Neurocomputing, 2020)

IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge [Competitions]. - Heechul Bae; Eoin Brophy; Rosa H. M. Chan; Baoquan Chen; Fan Feng; Gabriele Graffieti; Vidit Goel; Xinyue Hao; Hyonyoung Han; Sathursan Kanagarajah; Somesh Kumar; Siew-Kei Lam; et al. (IEEE Robotics Autom. Mag., 2020)

Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study. - Wenhan Yang; Ye Yuan 012; Wenqi Ren; Jiaying Liu 001; Walter J. Scheirer; Zhangyang Wang; Taiheng Zhang; Qiaoyong Zhong; Di Xie; Shiliang Pu; Yuqiang Zheng; Yanyun Qu; et al. (IEEE Trans. Image Process., 2020)

Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection. - Jinlei Hou; Yingying Zhang; Qiaoyong Zhong; Di Xie; Shiliang Pu; Hong Zhou (ICCV, 2021)

Modulating Localization and Classification for Harmonized Object Detection. - Taiheng Zhang; Qiaoyong Zhong; Shiliang Pu; Di Xie (ICME, 2021)

Associative affinity network learning for multi-object tracking. - Ma Liang; Qiaoyong Zhong; Yingying Zhang; Di Xie; Shiliang Pu (Frontiers Inf. Technol. Electron. Eng., 2021)

Topology-Aware Convolutional Neural Network for Efficient Skeleton-Based Action Recognition. - Kailin Xu; Fanfan Ye; Qiaoyong Zhong; Di Xie (AAAI, 2022)

KRNet: Towards Efficient Knowledge Replay. - Yingying Zhang; Qiaoyong Zhong; Di Xie; Shiliang Pu (ICPR, 2022)

Self-distilled Knowledge Delegator for Exemplar-free Class Incremental Learning. - Fanfan Ye; Liang Ma; Qiaoyong Zhong; Di Xie; Shiliang Pu (IJCNN, 2022)

iCVM: An Interpretable Deep Learning Model for CVM Assessment Under Label Uncertainty. - Ni Liao; Jian Dai; Yao Tang; Qiaoyong Zhong; Shuixue Mo (IEEE J. Biomed. Health Informatics, 2022)

Towards Deployment-Efficient and Collision-Free Multi-Agent Path Finding (Student Abstract). - Feng Chen 042; Chenghe Wang; Fuxiang Zhang; Hao Ding; Qiaoyong Zhong; Shiliang Pu; Zongzhang Zhang (AAAI, 2023)

Up to Thousands-fold Storage Saving: Towards Efficient Data-Free Distillation of Large-Scale Visual Classifiers. - Fanfan Ye; Bingyi Lu; Liang Ma; Qiaoyong Zhong; Di Xie (ACM Multimedia, 2023)