Enhancing Medical Word Sense Inventories Using Word Sense Induction: A Preliminary Study. - Qifei Dong; Yue Wang 035 (Poly/DMAH@VLDB, 2020)

Progress Indication for Deep Learning Model Training: A Feasibility Demonstration. - Qifei Dong; Gang Luo 001 (IEEE Access, 2020)

DicomAnnotator: a Configurable Open-Source Software Program for Efficient DICOM Image Annotation. - Qifei Dong; Gang Luo 001; David R. Haynor; Michael O'Reilly; Ken Linnau; Ziv Yaniv; Jeffrey G. Jarvik; Nathan M. Cross (J. Digit. Imaging, 2020)

Improving the Accuracy of Progress Indication for Constructing Deep Learning Models. - Qifei Dong; Xiaoyi Zhang 006; Gang Luo 001 (IEEE Access, 2022)

Offload Shaping for Wearable Cognitive Assistance. - Roger Iyengar; Qifei Dong; Chanh Nguyen; Padmanabhan Pillai; Mahadev Satyanarayanan (EDGE, 2023)

Does Wearable Cognitive Assistance Require Edge Computing? - Roger Iyengar; Qifei Dong; Chanh Nguyen; Padmanabhan Pillai; Mahadev Satyanarayanan (HotMobile, 2023)

The OODA Loop of Cloudlet-Based Autonomous Drones. - Mihir Bala; Aditya Chanana; Xiangliang Chen; Qifei Dong; Thomas Eiszler; Jingao Xu; Padmanabhan Pillai; Mahadev Satyanarayanan (SEC, 2024)

Creating Edge AI from Cloud-based LLMs. - Qifei Dong; Xiangliang Chen; Mahadev Satyanarayanan (HotMobile, 2024)

Poster: Creating Edge AI from Cloud-based LLMs. - Qifei Dong; Xiangliang Chen; Mahadev Satyanarayanan (HotMobile, 2024)

Progress Estimation for End-to-End Training of Deep Learning Models With Online Data Preprocessing. - Qifei Dong; Gang Luo 001 (IEEE Access, 2024)