| Swapped face detection using deep learning and subjective assessment X Ding, Z Raziei, EC Larson, EV Olinick, P Krueger, M Hahsler EURASIP Journal on Information Security 2020, 1-12, 2020 | 80 | 2020 |
| Measuring Oxygen Saturation with Smartphone Cameras using Convolutional Neural Networks X Ding, D Nassehi, EC Larson IEEE Journal of Biomedical and Health Informatics, 2018 | 64 | 2018 |
| PupilNet, Measuring Task Evoked Pupillary Response using Commodity RGB Tablet Cameras: Comparison to Mobile, Infrared Gaze Trackers for Inferring Cognitive Load C Wangwiwattana, X Ding, EC Larson Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 32 | 2018 |
| Why Deep Knowledge Tracing has less Depth than Anticipated X Ding, EC Larson The 12th International Conference on Educational Data Mining, 282-287, 2019 | 31 | 2019 |
| Smartphone camera oximetry in an induced hypoxemia study JS Hoffman, VK Viswanath, C Tian, X Ding, MJ Thompson, EC Larson, ... NPJ digital medicine 5 (1), 146, 2022 | 19 | 2022 |
| Incorporating uncertainties in student response modeling by loss function regularization X Ding, EC Larson Neurocomputing 409, 74-82, 2020 | 19 | 2020 |
| On the Interpretability of Deep Learning Based Models for Knowledge Tracing X Ding, EC Larson AAAI 2021 workshop, 2021 | 13 | 2021 |
| An approach for combining multimodal fusion and neural architecture search applied to knowledge tracing X Ding, T Han, Y Fang, E Larson Applied Intelligence 53 (9), 11092-11103, 2023 | 6 | 2023 |
| EduAware: using tablet-based navigation gestures to predict learning module performance X Ding, EC Larson, A Doyle, K Donahoo, R Rajgopal, E Bing Interactive Learning Environments 29 (5), 720-732, 2021 | 6 | 2021 |
| Automatic rnn cell design for knowledge tracing using reinforcement learning X Ding, EC Larson Proceedings of the Seventh ACM Conference on Learning@ Scale, 285-288, 2020 | 6 | 2020 |
| Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction Y Chen, D Liu, X Ding, H Jiang Advanced Engineering Informatics 59, 102316, 2024 | 5 | 2024 |
| Incorporating feature labeling into crowdsourcing for more accurate aggregation labels Y Fang, Z Pei, X Ding, W Xu, T Han International Conference on Collaborative Computing: Networking …, 2022 | 3 | 2022 |
| TDG4Crowd: Test Data Generation for Evaluation of Aggregation Algorithms in Crowdsourcing Y Fang, C Shen, H Gu, T Han, X Ding IJCAI 2023, 2023 | 1 | 2023 |
| Effectiveness of Malicious Behavior and Its Impact on Crowdsourcing X Ding, Z Zhang, Z Yuan, T Han, H Gu, Y Fang CCF Conference on Computer Supported Cooperative Work and Social Computing …, 2022 | 1 | 2022 |
| Large Scale Anonymous Collusion and its detection in crowdsourcing T Han, W Xu, Y Fang, X Ding Expert Systems with Applications 259, 125284, 2025 | | 2025 |
| TCM: An efficient lightweight MLP-based network with affine transformation for long-term time series forecasting H Jiang, D Liu, X Ding, Y Chen, H Li Neurocomputing, 128960, 2024 | | 2024 |
| Mixture of Experts based Multi-task Supervise Learning from Crowds T Han, H Shi, X Ding, X Ma, H Gu, Y Fang arXiv preprint arXiv:2407.13268, 2024 | | 2024 |
| Context-Aware Automatic Splitting Method for Structured Complex Crowdsourcing Tasks Y Fang, L Jin, T Han, K Zhang, X Ding CCF Conference on Computer Supported Cooperative Work and Social Computing …, 2023 | | 2023 |
| Crowd4ME: A Crowdsourcing-Based Micro-expression Collection Platform X Wang, L Lv, Y Fang, X Ding, T Han International Conference on Service-Oriented Computing, 315-318, 2021 | | 2021 |
| Deep Neural Network Based Student Response Modeling With Uncertainty, Multimodality and Attention X Ding | | 2020 |
Eric C. LarsonAssociate Professor, Computer Science, Endowed Prof. in Innovation, Southern Methodist UniversityVerified email at smu.edu
