| 2025 | COMPSAC | Few-Shot Learning-Based Cyber Incident Detection with Augmented Context Intelligence. | Fei Zuo, Junghwan Rhee, Yung Ryn Choe, Chenglong Fu, Xianshan Qu |
| 2025 | SIGITE | Revisiting the Capability of GPT in Solving Coding Problems: A Lesson from Programming with Recursion. | Fei Zuo, Gang Qian, Xianshan Qu, Junghwan Rhee, Jicheng Fu |
| 2024 | SERA | Context Matters: Investigating Its Impact on ChatGPT's Bug Fixing Performance. | Xianshan Qu, Fei Zuo, Xiaopeng Li, Junghwan Rhee |
| 2024 | SERA | A Robust Attention-based Convolutional Neural Network for Monocular Depth Estimation. | Yuqi Song, Xin Zhang, Bokai Yang, Fei Zuo, Xianshan Qu |
| 2023 | SERA | Nighttime Vehicle Classification based on Thermal Images. | Xianshan Qu, Nathan Huynh, Robert L. Mullen, John R. Rose |
| 2022 | PLDI | Predictive synthesis of API-centric code. | Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, Satish Chandra |
| 2020 | ECIR | An Attention Model of Customer Expectation to Improve Review Helpfulness Prediction. | Xianshan Qu, Xiaopeng Li, Csilla Farkas, John R. Rose |
| 2017 | ACNS | Are You Lying: Validating the Time-Location of Outdoor Images. | Xiaopeng Li, Wenyuan Xu, Song Wang, Xianshan Qu |