| 2024 | DEXA | A Pre-trained Knowledge Tracing Model with Limited Data. | Wenli Yue, Wei Su, Lei Liu, Chuan Cai, Yongna Yuan, Zhongfeng Jia, Jiamin Liu, Wenjian Xie |
| 2024 | ICPR | ROI-Aware Dynamic Network Quantization for Neural Video Compression. | Jiamin Liu, Baochang Zhang, Xianbin Cao |
| 2024 | INFOCOM | Secure Node Identification Through Covert Clock Feature Extraction. | Xintao Huan, Wen Chen, Changfan Wu, Jiamin Liu, Yixuan Zou, Shengkang Zhang |
| 2024 | KSEM | Attention and Learning Features-Enhanced Knowledge Tracing. | Jiamin Liu, Wei Su, Lei Liu, Chuan Cai, Yongna Yuan, Shenglin Xu, Zhongfeng Jia, Wenli Yue, Bowang Liu |
| 2023 | ICDM | A Deep Memory-Aware Attentive Model for Knowledge Tracing. | Juntai Shi, Wei Su, Lei Liu, Shenglin Xu, Tianyuan Huang, Jiamin Liu, Wenli Yue, Shihua Li |
| 2023 | IWCMC | An Overview Of Low Earth Orbit Satellite Routing Algorithms. | Chengcheng Li, Yasheng Zhang, Zixuan Cui, Yi Zhang, Jiamin Liu, Zilong Yu, Peiying Zhang |
| 2021 | IGARSS | Local Structure Graph Discriminant Embedding for Hyperspectral Image Classification. | Zehua Zou, Fulin Luo, Jiamin Liu, Guangyao Shi, Yufei Liu |
| 2019 | SMC | A Data-driven Analysis of Employee Promotion: The Role of the Position of Organization. | Jiamin Liu, Tao Wang, Jiting Li, Jingbo Huang, Feng Yao, Renjie He |
| 2017 | IWQoS | CounterMap: Towards generic traffic statistics collection and query in Software Defined Network. | Jiamin Liu, Peng Zhang, Huanzhao Wang, Chengchen Hu |
| 2016 | MICCAI | Detection of Degenerative Osteophytes of the Spine on PET/CT Using Region-Based Convolutional Neural Networks. | Yinong Wang, Jianhua Yao, Joseph E. Burns, Jiamin Liu, Ronald M. Summers |
| 2015 | MICCAI | DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. | Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim B. Turkbey, Ronald M. Summers |
| 2015 | VTC | Hypergraph-Based Intercell Interference Coordination for QoS Guarantees in Dense Femtocell Networks. | Jinbo Liu, Shaohui Sun, Jiamin Liu, Yuan He |
| 2014 | MICCAI | A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans. | Amal Farag, Le Lu, Evrim Turkbey, Jiamin Liu, Ronald M. Summers |
| 2014 | MICCAI | A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations. | Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald M. Summers |
| 2014 | MICCAI | 2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. | Ari Seff, Le Lu, Kevin M. Cherry, Holger R. Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers |
| 2013 | MICCAI | Visual Phrase Learning and Its Application in Computed Tomographic Colonography. | Shijun Wang, Matthew McKenna, Zhuoshi Wei, Jiamin Liu, Peter Liu, Ronald M. Summers |
| 2010 | ICIP | Improved method for predicting polyp location from CT colonography for optical colonoscopy. | Kevin W. Chang, Jiamin Liu, Jianhua Yao, Ronald M. Summers |
| 2010 | ICIP | Automated detection of blob structures by Hessian analysis and object scale. | Jiamin Liu, Jacob M. White, Ronald M. Summers |