| 2021 | EMNLP | CNNBiF: CNN-based Bigram Features for Named Entity Recognition. | Chul Sung, Vaibhava Goel, Etienne Marcheret, Steven J. Rennie, David Nahamoo |
| 2019 | AIED | Improving Short Answer Grading Using Transformer-Based Pre-training. | Chul Sung, Tejas Indulal Dhamecha, Nirmal Mukhi |
| 2019 | EMNLP | Pre-Training BERT on Domain Resources for Short Answer Grading. | Chul Sung, Tejas I. Dhamecha, Swarnadeep Saha, Tengfei Ma, Vinay Reddy, Rishi Arora |
| 2017 | IJCNN | Evaluating deep learning in chum prediction for everything-as-a-service in the cloud. | Chul Sung, Chunhui Y. Higgins, Bo Zhang, Yoonsuck Choe |
| 2017 | IJCNN | Groupwise Bayesian dimension reduction. | Bo Zhang, Liwei Wang, Song Yan, Chul Sung |
| 2017 | IJCNN | Classification based on neuroimaging data by tensor boosting. | Bo Zhang, Hua Zhou, Liwei Wang, Chul Sung |
| 2016 | DSAA | Data-Driven Sales Leads Prediction for Everything-as-a-Service in the Cloud. | Chul Sung, Bo Zhang, Chunhui Y. Higgins, Yoonsuck Choe |
| 2013 | IJCNN | Scalable, incremental learning with MapReduce parallelization for cell detection in high-resolution 3D microscopy data. | Chul Sung, Jongwook Woo, Matthew Goodman, Todd Huffman, Yoonsuck Choe |
| 2011 | IJCNN | Knife-edge scanning microscopy for connectomics research. | Yoonsuck Choe, David Mayerich, Jaerock Kwon, Daniel E. Miller, Ji Ryang Chung, Chul Sung, John Keyser, Louise C. Abbott |
| 2009 | Mobisys | Predictive methods for improved vehicular WiFi access. | Pralhad Deshpande, Anand Kashyap, Chul Sung, Samir R. Das |
| 2009 | PAM | Understanding Channel and Interface Heterogeneity in Multi-channel Multi-radio Wireless Mesh Networks. | Anand Prabhu Subramanian, Jing Cao, Chul Sung, Samir R. Das |