Chengyuan Liu

According to our database, Chengyuan Liu authored at least 37 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning to Solve Domain-Specific Calculation Problems with Knowledge-Intensive Programs Generator.

Chengyuan Liu, Shihang Wang, Lizhi Qing, Jun Lin, Ji Zhang, Fei Wu, Kun Kuang

CoRR, 2024

RexUniNLU: Recursive Method with Explicit Schema Instructor for Universal NLU.

Chengyuan Liu, Shihang Wang, Fubang Zhao, Kun Kuang, Yangyang Kang, Weiming Lu, Changlong Sun, Fei Wu

CoRR, 2024

More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs.

Chengyuan Liu, Shihang Wang, Yangyang Kang, Lizhi Qing, Fubang Zhao, Changlong Sun, Kun Kuang, Fei Wu

CoRR, 2024

Utilizing the Constrained K-Means Algorithm and Pre-Class GitHub Contribution Statistics for Forming Student Teams.

Jialin Cui, Fangtong Zhou, Chengyuan Liu, Qinjin Jia, Yang Song, Edward F. Gehringer

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

Dynamic Modeling of Robotic Fish considering Background Flow using Koopman Operators.

Xiaozhu Lin, Song Liu, Chengyuan Liu, Yang Wang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs.

Chengyuan Liu, Shihang Wang, Lizhi Qing, Kun Kuang, Yangyang Kang, Changlong Sun, Fei Wu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs.

Chengyuan Liu, Yangyang Kang, Shihang Wang, Lizhi Qing, Fubang Zhao, Chao Wu, Changlong Sun, Kun Kuang, Fei Wu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Generative AI for Peer Assessment Helpfulness Evaluation.

Chengyuan Liu, Jialin Cui, Ruixuan Shang, Qinjin Jia, M. Parvez Rashid, Edward F. Gehringer

Proceedings of the 17th International Conference on Educational Data Mining, 2024

On Assessing the Faithfulness of LLM-generated Feedback on Student Assignments.

Qinjin Jia, Jialin Cui, Ruijie Xi, Chengyuan Liu, M. Parvez Rashid, Ruochi Li, Edward F. Gehringer

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Hypergraph Matching for 3D Point Set.

Bin Li, Chengyuan Liu, Shuwen Chen, Liyuan Cui, Rui Zhang

Proceedings of the International Conference on Computer Vision and Deep Learning, 2024

Evolving Knowledge Distillation with Large Language Models and Active Learning.

Chengyuan Liu, Fubang Zhao, Kun Kuang, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Fei Wu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Event-Triggered Exponential Synchronization of Nonfragile Neural Networks.

Chao Ge, Chenlei Chang, Zheng Yao, Chengyuan Liu

Autom. Control. Comput. Sci., June, 2023

A Chinese Prompt Attack Dataset for LLMs with Evil Content.

Chengyuan Liu, Fubang Zhao, Lizhi Qing, Yangyang Kang, Changlong Sun, Kun Kuang, Fei Wu

CoRR, 2023

Sampled-data-based exponential synchronization of switched coupled neural networks with unbounded delay.

Chao Ge, Chenlei Chang, Yajuan Liu, Chengyuan Liu

Commun. Nonlinear Sci. Numer. Simul., 2023

Ensuring Ethical, Transparent, and Auditable Use of Education Data and Algorithms on AutoML.

Kylie Griep, Leah Stone, Stephen Edwards, Malik Hill, Jialin Cui, Chengyuan Liu, Qinjin Jia, Yang Song

Proceedings of the 6th International Conference on Machine Learning and Natural Language Processing, 2023

Predicting Students' Software Engineering Class Performance with Machine Learning and Pre-Class GitHub Metrics.

Jialin Cui, Fangtong Zhou, Runqiu Zhang, Ruochi Li, Chengyuan Liu, Edward F. Gehringer

Proceedings of the IEEE Frontiers in Education Conference, 2023

RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction.

Chengyuan Liu, Fubang Zhao, Yangyang Kang, Jingyuan Zhang, Xiang Zhou, Changlong Sun, Kun Kuang, Fei Wu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Labels are not necessary: Assessing peer-review helpfulness using domain adaptation based on self-training.

Chengyuan Liu, Divyang Doshi, Muskaan Bhargava, Ruixuan Shang, Jialin Cui, Dongkuan Xu, Edward F. Gehringer

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

2022

Robust Adaptive Learning-Based Path Tracking Control of Autonomous Vehicles Under Uncertain Driving Environments.

Xuefang Li, Chengyuan Liu, Boli Chen, Jingjing Jiang

IEEE Trans. Intell. Transp. Syst., 2022

Modeling review helpfulness with augmented transformer neural networks.

Yunkai Xiao, Tianle Wang, Xinhua Sun, Yicong Li, Yang Song, Jialin Cui, Qinjin Jia, Chengyuan Liu, Edward F. Gehringer

Proceedings of the 16th IEEE International Conference on Semantic Computing, 2022

Can Pre-class GitHub Contributions Predict Success by Student Teams?

Jialin Cui, Ruochi Li, Kaida Lou, Chengyuan Liu, Yunkai Xiao, Qinjin Jia, Edward F. Gehringer, Runqiu Zhang

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training, 2022

Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples.

Chengyuan Liu, Leilei Gan, Kun Kuang, Fei Wu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving problem detection in peer assessment through pseudo-labeling using semi-supervised learning.

Chengyuan Liu, Jialin Cui, Ruixuan Shang, Yunkai Xiao, Qinjin Jia, Edward F. Gehringer

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Insta-Reviewer: A Data-Driven Approach for Generating Instant Feedback on Students' Project Reports.

Qinjin Jia, Mitchell Young, Yunkai Xiao, Jialin Cui, Chengyuan Liu, M. Parvez Rashid, Edward F. Gehringer

Proceedings of the 15th International Conference on Educational Data Mining, 2022

2021

A Ka-Band Quadrature-Hybrid LNA-PS with Gm- Boosting Technique in 40-nm CMOS.

Zhengqi Xu, Ke Wu, Xiaoming Liu, Chengyuan Liu, Jing Jin, Jianjun Zhou

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Research on the Method of Selecting the Optimal Feature Subset in Big Data for Energy Analysis Attack.

Xiaoyi Duan, You Li, Chengyuan Liu, Xiuying Li, Wenfeng Liu, Guoqian Li

Proceedings of the Digital Forensics and Cyber Crime - 12th EAI International Conference, 2021

ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments.

Qinjin Jia, Jialin Cui, Yunkai Xiao, Chengyuan Liu, M. Parvez Rashid, Edward F. Gehringer

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Feedforward Enhancement through Iterative Learning Control for Robotic Manipulator.

Chengyuan Liu, Mingfeng Wang, Xuefang Li, Svetan M. Ratchev

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

GluNet: A Deep Learning Framework for Accurate Glucose Forecasting.

Kezhi Li, Chengyuan Liu, Taiyu Zhu, Pau Herrero, Pantelis Georgiou

IEEE J. Biomed. Health Informatics, 2020

Convolutional Recurrent Neural Networks for Glucose Prediction.

Kezhi Li, John Daniels, Chengyuan Liu, Pau Herrero, Pantelis Georgiou

IEEE J. Biomed. Health Informatics, 2020

Correlation Filter With Motion Detection for Robust Tracking of Shape-Deformed Targets.

Chengyuan Liu, Jianglei Gong, Jiang Zhu, Jinxin Zhang, Yunyi Yan

IEEE Access, 2020

Based on Machine Learning Algorithm: Construction of an Early Prediction Model of Integrated Traditional Chinese and Western Medicine for Cognitive Impairment after Ischemic Stroke.

Xinhao Chen, Chengxia Wei, Wuhui Wu, Lizhen Guo, Chengyuan Liu, Gendi Lu

Proceedings of the 5th International Conference on Universal Village, 2020

2019

Long-Term Glucose Forecasting Using a Physiological Model and Deconvolution of the Continuous Glucose Monitoring Signal.

Chengyuan Liu, Josep Vehí, Parizad Avari, Monika Reddy, Nick Oliver, Pantelis Georgiou, Pau Herrero

Sensors, 2019

Enhancing Blood Glucose Prediction with Meal Absorption and Physical Exercise Information.

Chengyuan Liu, Josep Vehí, Nick Oliver, Pantelis Georgiou, Pau Herrero

CoRR, 2019

2018

Convolutional Recurrent Neural Networks for Blood Glucose Prediction.

Kezhi Li, John Daniels, Pau Herrero Viñas, Chengyuan Liu, Pantelis Georgiou

CoRR, 2018

2017

An Improved Otsu's Thresholding Algorithm on Gesture Segmentation.

Chongshan Lv, Ting Zhang, Chengyuan Liu

J. Adv. Comput. Intell. Intell. Informatics, 2017

2015

The computation of full-complexity polytopic robust control invariant sets.

Chengyuan Liu, Imad M. Jaimoukha

Proceedings of the 54th IEEE Conference on Decision and Control, 2015