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Xinyi Ding
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2020 – today
- 2025
- [j13]Tao Han, Wentao Xu, Yili Fang, Xinyi Ding:
Large Scale Anonymous Collusion and its detection in crowdsourcing. Expert Syst. Appl. 259: 125284 (2025) - [j12]Hongwei Jiang, Dongsheng Liu, Xinyi Ding, Yaning Chen, Hongtao Li:
TCM: An efficient lightweight MLP-based network with affine transformation for long-term time series forecasting. Neurocomputing 617: 128960 (2025) - 2024
- [j11]Yaning Chen, Dongsheng Liu, Xinyi Ding, Hongwei Jiang:
Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction. Adv. Eng. Informatics 59: 102316 (2024) - [i5]Tao Han, Huaixuan Shi, Xinyi Ding, Xiao Ma, Huamao Gu, Yili Fang:
Mixture of Experts based Multi-task Supervise Learning from Crowds. CoRR abs/2407.13268 (2024) - 2023
- [j10]Xinyi Ding, Tao Han, Yili Fang, Eric C. Larson:
An approach for combining multimodal fusion and neural architecture search applied to knowledge tracing. Appl. Intell. 53(9): 11092-11103 (2023) - [j9]Xinyi Ding, Xiao Zhang, Xiaofei Li, Jinlian Du:
A hybrid neural network based model for blood donation forecasting. J. Biomed. Informatics 146: 104488 (2023) - [j8]Chenchen Zhai, Xinyi Ding, Xue Zhang, Shaoxiang Jiang, Yue Zhang, Chengming Li:
Assessing the Effects of Urban Digital Infrastructure on Corporate Environmental, Social and Governance (ESG) Performance: Evidence from the Broadband China Policy. Syst. 11(10): 515 (2023) - [c13]Yili Fang, Lichuang Jin, Tao Han, Kai Zhang, Xinyi Ding:
Context-Aware Automatic Splitting Method for Structured Complex Crowdsourcing Tasks. ChineseCSCW (2) 2023: 48-61 - [c12]Yili Fang, Chaojie Shen, Huamao Gu, Tao Han, Xinyi Ding:
TDG4Crowd: Test Data Generation for Evaluation of Aggregation Algorithms in Crowdsourcing. IJCAI 2023: 2984-2992 - [c11]Xinyi Ding, Yejuan Xie, Jielin Jing, Fei Du, Chengtao Ji:
Visual exploration of color usage in Vincent van Gogh's Paintings. VINCI 2023: 38:1-38:8 - 2022
- [j7]Jason S. Hoffman, Varun Viswanath, Caiwei Tian, Xinyi Ding, Matthew J. Thompson, Eric C. Larson, Shwetak N. Patel, Edward Jay Wang:
Smartphone camera oximetry in an induced hypoxemia study. npj Digit. Medicine 5 (2022) - [c10]Xinyi Ding, Zhenjie Zhang, Zhuangmiao Yuan, Tao Han, Huamao Gu, Yili Fang:
Effectiveness of Malicious Behavior and Its Impact on Crowdsourcing. ChineseCSCW (2) 2022: 118-132 - [c9]Yili Fang, Zhaoqi Pei, Xinyi Ding, Wentao Xu, Tao Han:
Incorporating Feature Labeling into Crowdsourcing for More Accurate Aggregation Labels. CollaborateCom (2) 2022: 306-324 - [c8]Xinyi Ding, Cong Cao, Dan Li:
Why the Elderly Indulges in Live Shopping: Optimization of Interaction Mechanism Under the Live E-commerce Scenario? HCI (29) 2022: 276-290 - [c7]Xinyi Ding, Tianlan Wei, Cong Cao:
Towards a Four-Dimensional Dynamic Trust Model in B2C Cross-Border E-Commerce. IC4E 2022: 414-418 - [c6]Xinyi Ding, Cong Cao:
Connection, Communication and Value Co-creation: Construction of ICT Enabled Health Management Platform. ICIT 2022: 1-6 - [c5]Xinyi Ding, Xiao Zhang, Jinlian Du, Yuchen Liu, Fangqi Dong:
CNN living body recognition model based on rPPG. IVSP 2022: 85-91 - 2021
- [j6]Xinyi Ding, Eric C. Larson, Amanda Doyle, Kevin Donahoo, Radhika Rajgopal, Eric Bing:
EduAware: using tablet-based navigation gestures to predict learning module performance. Interact. Learn. Environ. 29(5): 720-732 (2021) - [j5]Chenming Li, Junchao Wang, Xinyi Ding, Naiyin Zhang:
Acoustic Imaging Using the Built-In Sensors of a Smartphone. Symmetry 13(6): 1065 (2021) - [c4]Xun Wang, Liping Lv, Yili Fang, Xinyi Ding, Tao Han:
Crowd4ME: A Crowdsourcing-Based Micro-expression Collection Platform. ICSOC Workshops 2021: 315-318 - [i4]Xinyi Ding, Eric C. Larson:
On the Interpretability of Deep Learning Based Models for Knowledge Tracing. CoRR abs/2101.11335 (2021) - [i3]Jason S. Hoffman, Varun Viswanath, Xinyi Ding, Matthew J. Thompson, Eric C. Larson, Shwetak N. Patel, Edward Jay Wang:
Smartphone Camera Oximetry in an Induced Hypoxemia Study. CoRR abs/2104.00038 (2021) - [i2]Xinyi Ding, Tao Han, Yili Fang, Eric C. Larson:
An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing. CoRR abs/2111.04497 (2021) - 2020
- [j4]Xinyi Ding, Zohreh Raziei, Eric C. Larson, Eli V. Olinick, Paul Krueger, Michael Hahsler:
Swapped face detection using deep learning and subjective assessment. EURASIP J. Inf. Secur. 2020: 6 (2020) - [j3]Xinyi Ding, Eric C. Larson:
Incorporating uncertainties in student response modeling by loss function regularization. Neurocomputing 409: 74-82 (2020) - [c3]Xinyi Ding, Eric C. Larson:
Automatic RNN Cell Design for Knowledge Tracing using Reinforcement Learning. L@S 2020: 285-288
2010 – 2019
- 2019
- [j2]Xinyi Ding, Damoun Nassehi, Eric C. Larson:
Measuring Oxygen Saturation With Smartphone Cameras Using Convolutional Neural Networks. IEEE J. Biomed. Health Informatics 23(6): 2603-2610 (2019) - [c2]Xinyi Ding, Eric C. Larson:
Why Deep Knowledge Tracing has less Depth than Anticipated. EDM 2019 - [i1]Xinyi Ding, Zohreh Raziei, Eric C. Larson, Eli V. Olinick, Paul Krueger, Michael Hahsler:
Swapped Face Detection using Deep Learning and Subjective Assessment. CoRR abs/1909.04217 (2019) - 2017
- [j1]Chatchai Wangwiwattana, Xinyi Ding, Eric C. Larson:
PupilNet, Measuring Task Evoked Pupillary Response using Commodity RGB Tablet Cameras: Comparison to Mobile, Infrared Gaze Trackers for Inferring Cognitive Load. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(4): 171:1-171:26 (2017)
2000 – 2009
- 2008
- [c1]Xinyi Ding, Weiming Wang, Chuanhuang Li, Ligang Dong:
An Extensible LFB Management and Development Model for ForCES Router Software. CCNC 2008: 23-24
Coauthor Index
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