| 2024 | CIKM | Personalized Video Summarization by Multimodal Video Understanding. | Brian Y. Chen, Xiangyuan Zhao, Yingnan Zhu |
| 2023 | MICCAI | Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer's Disease Using Multimodal Imaging Genetics. | Rong Zhou, Houliang Zhou, Brian Y. Chen, Li Shen, Yu Zhang, Lifang He |
| 2022 | MICCAI | Sparse Interpretation of Graph Convolutional Networks for Multi-modal Diagnosis of Alzheimer's Disease. | Houliang Zhou, Yu Zhang, Brian Y. Chen, Li Shen, Lifang He |
| 2019 | WABI | pClay: A Precise Parallel Algorithm for Comparing Molecular Surfaces. | Georgi D. Georgiev, Kevin F. Dodd, Brian Y. Chen |
| 2006 | RECOMB | Geometric Sieving: Automated Distributed Optimization of 3D Motifs for Protein Function Prediction. | Brian Y. Chen, Viacheslav Fofanov, Drew H. Bryant, Bradley D. Dodson, David M. Kristensen, Andreas Martin Lisewski, Marek Kimmel, Olivier Lichtarge, Lydia E. Kavraki |
| 2005 | PSB | Algorithms for Structural Comparison and Statistical Analysis of 3D Protein Motifs. | Brian Y. Chen, Viacheslav Fofanov, David M. Kristensen, Marek Kimmel, Olivier Lichtarge, Lydia E. Kavraki |
| 2003 | IROS | Multiple query probabilistic roadmap planning using single query planning primitives. | Kostas E. Bekris, Brian Y. Chen, Andrew M. Ladd, Erion Plaku, Lydia E. Kavraki |
| 2003 | ISRR | Probabilistic Roadmaps of Trees for Parallel Computation of Multiple Query Roadmaps. | Mert Akinc, Kostas E. Bekris, Brian Y. Chen, Andrew M. Ladd, Erion Plaku, Lydia E. Kavraki |