PupilNet, Measuring Task Evoked Pupillary Response using Commodity RGB Tablet Cameras: Comparison to Mobile, Infrared Gaze Trackers for Inferring Cognitive Load. - Chatchai Wangwiwattana; Xinyi Ding 001; Eric C. Larson (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Why Deep Knowledge Tracing has less Depth than Anticipated. - Xinyi Ding 001; Eric C. Larson (EDM, 2019)

Measuring Oxygen Saturation With Smartphone Cameras Using Convolutional Neural Networks. - Xinyi Ding 001; Damoun Nassehi; Eric C. Larson (IEEE J. Biomed. Health Informatics, 2019)

Automatic RNN Cell Design for Knowledge Tracing using Reinforcement Learning. - Xinyi Ding 001; Eric C. Larson (L@S, 2020)

Swapped face detection using deep learning and subjective assessment. - Xinyi Ding 001; Zohreh Raziei; Eric C. Larson; Eli V. Olinick; Paul Krueger; Michael Hahsler (EURASIP J. Inf. Secur., 2020)

Incorporating uncertainties in student response modeling by loss function regularization. - Xinyi Ding 001; Eric C. Larson (Neurocomputing, 2020)

Crowd4ME: A Crowdsourcing-Based Micro-expression Collection Platform. - Xun Wang 007; Liping Lv; Yili Fang; Xinyi Ding 001; Tao Han 003 (ICSOC Workshops, 2021)

On the Interpretability of Deep Learning Based Models for Knowledge Tracing. - Xinyi Ding 001; Eric C. Larson (CoRR, 2021)

Smartphone Camera Oximetry in an Induced Hypoxemia Study. - Jason S. Hoffman; Varun K. Viswanath; Xinyi Ding 001; Matthew J. Thompson; Eric C. Larson; Shwetak N. Patel; Edward Jay Wang (CoRR, 2021)

EduAware: using tablet-based navigation gestures to predict learning module performance. - Xinyi Ding 001; Eric C. Larson; Amanda Doyle; Kevin Donahoo; Radhika Rajgopal; Eric Bing (Interact. Learn. Environ., 2021)

Effectiveness of Malicious Behavior and Its Impact on Crowdsourcing. - Xinyi Ding 001; Zhenjie Zhang; Zhuangmiao Yuan; Tao Han 003; Huamao Gu; Yili Fang (ChineseCSCW (2), 2022)

Incorporating Feature Labeling into Crowdsourcing for More Accurate Aggregation Labels. - Yili Fang; Zhaoqi Pei; Xinyi Ding 001; Wentao Xu; Tao Han 003 (CollaborateCom (2), 2022)

Smartphone camera oximetry in an induced hypoxemia study. - Jason S. Hoffman; Varun K. Viswanath; Caiwei Tian; Xinyi Ding 001; Matthew J. Thompson; Eric C. Larson; Shwetak N. Patel; Edward Jay Wang (npj Digit. Medicine, 2022)

Context-Aware Automatic Splitting Method for Structured Complex Crowdsourcing Tasks. - Yili Fang; Lichuang Jin; Tao Han 003; Kai Zhang; Xinyi Ding 001 (ChineseCSCW (2), 2023)

TDG4Crowd: Test Data Generation for Evaluation of Aggregation Algorithms in Crowdsourcing. - Yili Fang; Chaojie Shen; Huamao Gu; Tao Han 003; Xinyi Ding 001 (IJCAI, 2023)

An approach for combining multimodal fusion and neural architecture search applied to knowledge tracing. - Xinyi Ding 001; Tao Han 003; Yili Fang; Eric C. Larson (Appl. Intell., 2023)

Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction. - Yaning Chen; Dongsheng Liu; Xinyi Ding 001; Hongwei Jiang (Adv. Eng. Informatics, 2024)

Mixture of Experts Based Multi-Task Supervise Learning from Crowds. - Tao Han 003; Huaixuan Shi; Xinyi Ding 001; Xiao Ma; Huamao Gu; Yili Fang (AAAI, 2025)

Multimodal information capture based truth inference network in crowdsourcing. - Tao Han 003; Xinyi Ding 001; Yili Fang (Expert Syst. Appl., 2025)

Large Scale Anonymous Collusion and its detection in crowdsourcing. - Tao Han 003; Wentao Xu; Yili Fang; Xinyi Ding 001 (Expert Syst. Appl., 2025)

TCM: An efficient lightweight MLP-based network with affine transformation for long-term time series forecasting. - Hongwei Jiang; Dongsheng Liu; Xinyi Ding 001; Yaning Chen; Hongtao Li (Neurocomputing, 2025)