| 2026 | AAAI | FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA Models. | Kewei Chen, Yayu Long, Shuai Li, Mingsheng Shang |
| 2026 | AAAI | PIPHEN: Physical Interaction Prediction with Hamiltonian Energy Networks. | Kewei Chen, Yayu Long, Mingsheng Shang |
| 2026 | ACL | ATAAT: Adaptive Threat-Aware Adversarial Tuning Framework against Backdoor Attacks on Vision-Language-Action Models. | Kewei Chen, Yayu Long, Shuai Li, Mingsheng Shang |
| 2026 | ACL | ElasticFlow: One-Step Physics-Consistent Policy with Elastic Time Horizons for Language-Guided Manipulation. | Kewei Chen, Yayu Long, Shuai Li, Mingsheng Shang |
| 2025 | ACL | DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics. | Yayu Long, Kewei Chen, Long Jin, Mingsheng Shang |
| 2025 | ICTAI | Multimodal Deep Learning for Alzheimer's Disease Classification: A Practical Fusion Framework for Clinical Deployment. | Zakaria O. Elghazzali, Chen Zhao, Kewei Chen, Lingtao Chen, Bobin Deng, Kazi Fahim Ahmad Nasif, Yixin Xie |
| 2024 | MOBICOM | Nomad: Providing Insights into the Spectrum Environment. | Gavin Roberts, Srivatsan Rajagopal, Wei Sun, Richard Bell, Sreevatsank Kadaveru, Raghav Subbaraman, Hadi Givehchian, Raini Wu, Kewei Chen, Isamu Poy, Dinesh Bharadia, Fredric J. Harris |
| 2023 | IJCNN | Lightweight Ghost Dense Network for Tomato Leaf Disease Identification. | Yinan Wang, Zhijun Xie, Libo Zhuang, Kewei Chen, Yuntao Xie |
| 2023 | SMC | A Three-Stage Adaptive Hybrid Algorithm for Flexible Job Shop Scheduling Problem. | Chongrui Wu, Zhijun Xie, Kewei Chen, Yu Xin, Roozbeh Zarei, Yuntao Xie |
| 2020 | ICML | Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training. | Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang |
| 2018 | ICIP | A Compact and Configurable Long Short-Term Memory Neural Network Hardware Architecture. | Kewei Chen, Leilei Huang, Minjiang Li, Xiaoyang Zeng, Yibo Fan |
| 2017 | DICTA | Multi-Feature Kernel Discriminant Dictionary Learning for Classification in Alzheimer's Disease. | Qing Li, Xia Wu, Lele Xu, Li Yao, Kewei Chen |
| 2017 | ICCV | An Optimal Transportation Based Univariate Neuroimaging Index. | Liang Mi, Wen Zhang, Junwei Zhang, Yonghui Fan, Dhruman Goradia, Kewei Chen, Eric M. Reiman, Xianfeng Gu, Yalin Wang |
| 2016 | FUSION | On auction design for crowd sensing. | Kewei Chen, Vijay Gupta, Yih-Fang Huang |
| 2016 | MICCAI | Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment. | Jie Zhang, Jie Shi, Cynthia M. Stonnington, Qingyang Li, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang |
| 2011 | KDD | Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network. | Shuai Huang, Jing Li, Jieping Ye, Adam Fleisher, Kewei Chen, Teresa Wu, Eric Reiman |
| 2009 | KDD | Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation. | Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Teresa Wu, Jing Li, Eric Reiman, Jieping Ye |
| 2008 | KDD | Heterogeneous data fusion for alzheimer's disease study. | Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng Zhao, Rinkal Patel, Min Bae, Ravi Janardan, Huan Liu, Gene E. Alexander, Eric Reiman |