| 2026 | EACL | Linking Knowledge to Care: Knowledge Graph-Augmented Medical Follow-Up Question Generation. | Liwen Sun, Xiang Yu, Ming Tan, Zhuohao Chen, Anqi Cheng, Ashutosh Joshi, Chenyan Xiong |
| 2026 | VR | Exploring Perception and Avoidance Behavior toward Real and Virtual Humans in Outdoor Mixed Reality. | Zhenhua Wu, Zhuohao Chen, Christos Mousas |
| 2023 | HCI | Visual Design for Predictive Display in Spatial Time-Delay Environments Considering Workload. | Jiadai Yan, Jiahao Sun, Tianle Tang, Zhuohao Chen |
| 2022 | ACL | Leveraging Task Transferability to Meta-learning for Clinical Section Classification with Limited Data. | Zhuohao Chen, Jangwon Kim, Ram Bhakta, Mustafa Y. Sir |
| 2022 | EMNLP | Leveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource Scenarios. | Zhuohao Chen, Nikolaos Flemotomos, Zac E. Imel, David C. Atkins, Shrikanth Narayanan |
| 2020 | ACL | Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversations. | Karan Singla, Zhuohao Chen, David C. Atkins, Shrikanth Narayanan |
| 2019 | ICASSP | Improving the Prediction of Therapist Behaviors in Addiction Counseling by Exploiting Class Confusions. | Zhuohao Chen, Karan Singla, James Gibson, Dogan Can, Zac E. Imel, David C. Atkins, Panayiotis G. Georgiou, Shrikanth S. Narayanan |
| 2018 | Interspeech | Using Prosodic and Lexical Information for Learning Utterance-level Behaviors in Psychotherapy. | Karan Singla, Zhuohao Chen, Nikolaos Flemotomos, James Gibson, Dogan Can, David C. Atkins, Shrikanth S. Narayanan |