| 2021 | ICRA | Pneumatic actuation-based bidirectional modules with variable stiffness and closed-loop position control. | Yaohui Chen, Hoam Chung, Bernard Chen, Ho Yi Ping, Yonghang Sun |
| 2020 | ICRA | The Lobster-inspired Antagonistic Actuation Mechanism Towards a Bending Module. | Yaohui Chen, Hoam Chung, Bernard Chen, Baoyinjiya, Yonghang Sun |
| 2017 | ICNC | Discovering genomic islands in microbial genomes using a genetic algorithm. | Dongsheng Che, Pingsheng Gao, Pu Tian, Bernard Chen |
| 2017 | ICNC | Granular computing in wineinformatics. | Bernard Chen, Krizia Houston Buck, Caleb Lawrence, Christopher Moore, Jeremy Yeatts, Travis Atkison |
| 2017 | ICNC | Multi-class wine grades predictions with hierarchical support vector machines. | Bernard Chen, Clifford A. Tawiah, James Palmer, Recep Erol |
| 2015 | ICMLA | Wineinformatics: Uncork Napa's Cabernet Sauvignon by Association Rule Based Classification. | Bernard Chen, Valentin Velchev, Bryce Nicholson, Joey Garrison, Moani Iwamura, Ryan Battisto |
| 2014 | ICDM | Wineinformatics: Applying Data Mining on Wine Sensory Reviews Processed by the Computational Wine Wheel. | Bernard Chen, Christopher Rhodes, Aaron Crawford, Lorri Hambuchen |
| 2013 | ICMLA | Determining Potential Yeast Longevity Genes via PPI Networks and Microarray Data Clustering Analysis. | Bernard Chen, Roshan Doolabh, Fusheng Tang |
| 2013 | ICMLA | Protein Local Tertiary Structure Prediction Using the Adaptively-Branching FGK-DF Model. | Bernard Chen, Cody Hudson, Aaron Crawford, Minwoo Kim |
| 2013 | ICMLA | Variable-Length Protein Sequence Motif Extraction Using Hierarchically-Clustered Hidden Markov Models. | Cody Hudson, Bernard Chen |
| 2012 | ICMLA | Interval-Valued Centroids in K-Means Algorithms. | Benjamine Nordin, Chenyi Hu, Bernard Chen, Victor S. Sheng |
| 2009 | BIBE | Mining Positional Association Super-Rules on Fixed-Size Protein Sequence Motifs. | Bernard Chen, Sinan Kockara |
| 2009 | BIBE | Soft Tissue Deformation and Optimized Data Structures for Mass Spring Methods. | Tansel Halic, Sinan Kockara, Coskun Bayrak, Richard Rowe, Bernard Chen |
| 2007 | BIBE | Super Granular Shrink-SVM Feature Elimination (Super GS-SVM-FE) Model for Protein Sequence Motif Information Extraction. | Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan |
| 2007 | CIBCB | Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction. | Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan |
| 2006 | BIBE | FIK Model: Novel Efficient Granular Computing Model for Protein Sequence Motifs and Structure Information Discovery. | Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan |
| 2006 | GRC | Novel Clustering Algorithm Combined With DSSP Post Processing For Protein Sequence Motif Discovering. | Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan |