Composite Learning Control of Hypersonic Flight Dynamics Without Back-Stepping. - Yixin Cheng; Tianyi Shao; Rui Zhang 021; Bin Xu 003 (ICONIP (6), 2017)

Disturbance observer based control of quadrotors with SLFN. - Yixin Cheng; Tianyi Shao; Feng Wu; Yuyan Guo; Bin Xu 003 (IECON, 2017)

HOSM observer based robust adaptive hypersonic flight control using composite learning. - Yixin Cheng; Bin Xu 003; Feng Wu; Xiaoxiang Hu; Rui Hong (Neurocomputing, 2018)

Discrete Sliding Mode Adaptive Control of HFV with Prediction Model. - Yixin Cheng; Shu Yang; Bin Xu 003; Dong Zhang; Yu Zhang 018 (ISIE, 2019)

Not Another Hardcoded Solution to the Student Dropout Prediction Problem: A Novel Approach Using Genetic Algorithms for Feature Selection. - Yixin Cheng; Bernardo Pereira Nunes; Rubén Manrique (ITS, 2022)

The use of Semantic Technologies in Computer Science Curriculum: A Systematic Review. - Yixin Cheng; Bernardo Pereira Nunes (CoRR, 2022)

Improving Students' Academic Performance with AI and Semantic Technologies. - Yixin Cheng (CoRR, 2022)

Adaptive Control of Uncertain Nonlinear Systems via Event-Triggered Communication and NN Learning. - Xinglan Liu; Bin Xu 003; Yixin Cheng; Hai Wang 004; Weisheng Chen (IEEE Trans. Cybern., 2023)

Adaptive Learning Control of Switched Strict-Feedback Nonlinear Systems With Dead Zone Using NN and DOB. - Yixin Cheng; Bin Xu 003; Zhi Lian; Zhongke Shi; Peng Shi 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Robust Adaptive Learning Control of Space Robot for Target Capturing Using Neural Network. - Xia Wang 001; Bin Xu 003; Yixin Cheng; Hai Wang 004; Fuchun Sun 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multilinear Operator Networks. - Yixin Cheng; Grigorios Chrysos 002; Markos Georgopoulos; Volkan Cevher (ICLR, 2024)

Evidence-centered Assessment for Writing with Generative AI. - Yixin Cheng; Kayley M. Lyons; Guanliang Chen; Dragan Gasevic; Zachari Swiecki (LAK, 2024)

Automated Discourse Analysis via Generative Artificial Intelligence. - Ryan Garg; Jaeyoung Han; Yixin Cheng; Zheng Fang; Zachari Swiecki (LAK, 2024)

Leveraging the Context through Multi-Round Interactions for Jailbreaking Attacks. - Yixin Cheng; Markos Georgopoulos; Volkan Cevher; Grigorios G. Chrysos (CoRR, 2024)

Ink and Algorithm: Exploring Temporal Dynamics in Human-AI Collaborative Writing. - Kaixun Yang; Yixin Cheng; Linxuan Zhao; Mladen Rakovic; Zachari Swiecki; Dragan Gasevic; Guanliang Chen (CoRR, 2024)

Self-regulated Learning Processes in Secondary Education: A Network Analysis of Trace-based Measures. - Yixin Cheng; Rui Guan; Tongguang Li; Mladen Rakovic; Xinyu Li 004; Yizhou Fan; Flora Ji-Yoon Jin; Yi-Shan Tsai; Dragan Gasevic; Zachari Swiecki (LAK, 2025)

Turning Real-Time Analytics into Adaptive Scaffolds for Self-Regulated Learning Using Generative Artificial Intelligence. - Tongguang Li; Debarshi Nath; Yixin Cheng; Yizhou Fan; Xinyu Li 004; Mladen Rakovic; Hassan Khosravi; Zachari Swiecki; Yi-Shan Tsai; Dragan Gasevic (LAK, 2025)

Asking generative artificial intelligence the right questions improves writing performance. - Yixin Cheng; Yizhou Fan; Xinyu Li 004; Guanliang Chen; Dragan Gasevic; Zachari Swiecki (Comput. Educ. Artif. Intell., 2025)

Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks. - Yixin Cheng; Hongcheng Guo; Yangming Li; Leonid Sigal (CoRR, 2025)

Dean of LLM Tutors: Exploring Comprehensive and Automated Evaluation of LLM-generated Educational Feedback via LLM Feedback Evaluators. - Keyang Qian; Yixin Cheng; Rui Guan; Wei Dai; Flora Ji-Yoon Jin; Kaixun Yang; Sadia Nawaz; Zachari Swiecki; Guanliang Chen; Lixiang Yan; Dragan Gasevic (CoRR, 2025)

SCALEFeedback: A Large-Scale Dataset of Synthetic Computer Science Assignments for LLM-generated Educational Feedback Research. - Keyang Qian; Kaixun Yang; Wei Dai; Flora Ji-Yoon Jin; Yixin Cheng; Rui Guan; Sadia Nawaz; Zachari Swiecki; Guanliang Chen; Lixiang Yan; Dragan Gasevic (CoRR, 2025)