Are You Lying: Validating the Time-Location of Outdoor Images. - Xiaopeng Li 001; Wenyuan Xu 001; Song Wang 002; Xianshan Qu (ACNS, 2017)

iCare: Automatic and User-friendly Child Identification on Smartphones. - Xiaopeng Li 001; Sharaf J. Malebary; Xianshan Qu; Xiaoyu Ji 001; Yushi Cheng; Wenyuan Xu 001 (HotMobile, 2018)

Review Helpfulness Assessment based on Convolutional Neural Network. - Xianshan Qu; Xiaopeng Li 001; John R. Rose (CoRR, 2018)

Validating the Contextual Information of Outdoor Images for Photo Misuse Detection. - Xiaopeng Li 001; Xianshan Qu; Wenyuan Xu 001; Song Wang 002; Yan Tong; Lannan Luo (CoRR, 2018)

Which One to Go: Security and Usability Evaluation of Mid-Air Gestures. - Wenyuan Xu 001; Xiaopeng Li 001; Jing Tian; Yujun Xiao; Xianshan Qu; Song Wang 002; Xiaoyu Ji 001 (CoRR, 2018)

A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding. - Xianshan Qu; Li Li 035; Xi Liu 011; Rui Chen 012; Yong Ge; Soo-Hyun Choi (IEEE BigData, 2019)

An Attention Model of Customer Expectation to Improve Review Helpfulness Prediction. - Xianshan Qu; Xiaopeng Li 001; Csilla Farkas; John R. Rose (ECIR (1), 2020)

Identifying Child Users via Touchscreen Interactions. - Yushi Cheng; Xiaoyu Ji 001; Xiaopeng Li 001; Tianchen Zhang; Sharaf J. Malebary; Xianshan Qu; Wenyuan Xu 001 (ACM Trans. Sens. Networks, 2020)

Review helpfulness evaluation and recommendation based on an attention model of customer expectation. - Xianshan Qu; Xiaopeng Li 001; Csilla Farkas; John R. Rose (Inf. Retr. J., 2021)

Predictive synthesis of API-centric code. - Daye Nam; Baishakhi Ray; Seohyun Kim 001; Xianshan Qu; Satish Chandra 001 (MAPS@PLDI, 2022)

Nighttime Vehicle Classification based on Thermal Images. - Xianshan Qu; Nathan Huynh; Robert L. Mullen; John R. Rose (SERA, 2023)

Context Matters: Investigating Its Impact on ChatGPT's Bug Fixing Performance. - Xianshan Qu; Fei Zuo; Xiaopeng Li 001; Junghwan Rhee (SERA, 2024)

A Robust Attention-based Convolutional Neural Network for Monocular Depth Estimation. - Yuqi Song; Xin Zhang; Bokai Yang; Fei Zuo; Xianshan Qu (SERA, 2024)

An Evaluation on the Impact of Large Language Models on Computer Science Curricula. - Junghwan Rhee; Aakankshya Shrestha; Gang Qian; Fei Zuo; Jicheng Fu; Myungah Park; Xianshan Qu; Goutam Mylavarapu; Hong Sung (J. Comput. Sci. Coll., 2024)

Demographics, Approaches, and Conceptions: Understanding Computer Science Learning. - Bokai Yang; Ling Hao; Yuqi Song; Xin Zhang; Fei Zuo; Xianshan Qu (J. Comput. Sci. Coll., 2024)

ChatGPT as an Assembly Language Interpreter for Computing Education. - Fei Zuo; Cody Tompkins; Gang Qian; Junghwan Rhee; Xianshan Qu; Bokai Yang (J. Comput. Sci. Coll., 2024)

Few-Shot Learning-Based Cyber Incident Detection with Augmented Context Intelligence. - Fei Zuo; Junghwan Rhee; Yung Ryn Choe; Chenglong Fu 002; Xianshan Qu (COMPSAC, 2025)