Chengyuan Liu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 33

Top Topics

Robust Tracking

Iterative Learning Control

Top Venues

IEEE J. Biomed. Health Informatics

J. Adv. Comput. Intell. Intell. Informatics

Publications

Chengyuan Liu, Fubang Zhao, Kun Kuang, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Fei Wu
Evolving Knowledge Distillation with Large Language Models and Active Learning. LREC/COLING (2024)
Chengyuan Liu, Shihang Wang, Yangyang Kang, Lizhi Qing, Fubang Zhao, Changlong Sun, Kun Kuang, Fei Wu
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs. CoRR (2024)
Chengyuan Liu, Yangyang Kang, Fubang Zhao, Kun Kuang, Zhuoren Jiang, Changlong Sun, Fei Wu
Evolving Knowledge Distillation with Large Language Models and Active Learning. CoRR (2024)
Bin Li, Chengyuan Liu, Shuwen Chen, Liyuan Cui, Rui Zhang
Hypergraph Matching for 3D Point Set. CVDL (2024)
Jialin Cui, Fangtong Zhou, Chengyuan Liu, Qinjin Jia, Yang Song, Edward F. Gehringer
Utilizing the Constrained K-Means Algorithm and Pre-Class GitHub Contribution Statistics for Forming Student Teams. ITiCSE (1) (2024)
Chengyuan Liu, Fubang Zhao, Yangyang Kang, Jingyuan Zhang, Xiang Zhou, Changlong Sun, Kun Kuang, Fei Wu
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction. EMNLP (Findings) (2023)
Jialin Cui, Fangtong Zhou, Runqiu Zhang, Ruochi Li, Chengyuan Liu, Edward F. Gehringer
Predicting Students' Software Engineering Class Performance with Machine Learning and Pre-Class GitHub Metrics. FIE (2023)
Chengyuan Liu, Divyang Doshi, Muskaan Bhargava, Ruixuan Shang, Jialin Cui, Dongkuan Xu, Edward F. Gehringer
Labels are not necessary: Assessing peer-review helpfulness using domain adaptation based on self-training. BEA@ACL (2023)
Chengyuan Liu, Fubang Zhao, Lizhi Qing, Yangyang Kang, Changlong Sun, Kun Kuang, Fei Wu
A Chinese Prompt Attack Dataset for LLMs with Evil Content. CoRR (2023)
Chao Ge, Chenlei Chang, Zheng Yao, Chengyuan Liu
Event-Triggered Exponential Synchronization of Nonfragile Neural Networks. Autom. Control. Comput. Sci. 57 (3) (2023)
Chengyuan Liu, Fubang Zhao, Yangyang Kang, Jingyuan Zhang, Xiang Zhou, Changlong Sun, Fei Wu, Kun Kuang
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction. CoRR (2023)
Chao Ge, Chenlei Chang, Yajuan Liu, Chengyuan Liu
Sampled-data-based exponential synchronization of switched coupled neural networks with unbounded delay. Commun. Nonlinear Sci. Numer. Simul. 117 (2023)
Kylie Griep, Leah Stone, Stephen Edwards, Malik Hill, Jialin Cui, Chengyuan Liu, Qinjin Jia, Yang Song
Ensuring Ethical, Transparent, and Auditable Use of Education Data and Algorithms on AutoML. MLNLP (2023)
Chengyuan Liu, Jialin Cui, Ruixuan Shang, Yunkai Xiao, Qinjin Jia, Edward F. Gehringer
Improving problem detection in peer assessment through pseudo-labeling using semi-supervised learning. EDM (2022)
Chengyuan Liu, Leilei Gan, Kun Kuang, Fei Wu
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples. EMNLP (2022)
Jialin Cui, Ruochi Li, Kaida Lou, Chengyuan Liu, Yunkai Xiao, Qinjin Jia, Edward F. Gehringer, Runqiu Zhang
Can Pre-class GitHub Contributions Predict Success by Student Teams? ICSE (SEET) (2022)
Chengyuan Liu, Leilei Gan, Kun Kuang, Fei Wu
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples. CoRR (2022)
Xuefang Li, Chengyuan Liu, Boli Chen, Jingjing Jiang
Robust Adaptive Learning-Based Path Tracking Control of Autonomous Vehicles Under Uncertain Driving Environments. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
Qinjin Jia, Mitchell Young, Yunkai Xiao, Jialin Cui, Chengyuan Liu, M. Parvez Rashid, Edward F. Gehringer
Insta-Reviewer: A Data-Driven Approach for Generating Instant Feedback on Students' Project Reports. EDM (2022)
Yunkai Xiao, Tianle Wang, Xinhua Sun, Yicong Li, Yang Song, Jialin Cui, Qinjin Jia, Chengyuan Liu, Edward F. Gehringer
Modeling review helpfulness with augmented transformer neural networks. ICSC (2022)
Chengyuan Liu, Mingfeng Wang, Xuefang Li, Svetan M. Ratchev
Feedforward Enhancement through Iterative Learning Control for Robotic Manipulator. CASE (2021)
Qinjin Jia, Jialin Cui, Yunkai Xiao, Chengyuan Liu, Parvez Rashid, Edward F. Gehringer
ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments. CoRR (2021)
Zhengqi Xu, Ke Wu, Xiaoming Liu, Chengyuan Liu, Jing Jin, Jianjun Zhou
A Ka-Band Quadrature-Hybrid LNA-PS with Gm- Boosting Technique in 40-nm CMOS. ISCAS (2021)
Qinjin Jia, Jialin Cui, Yunkai Xiao, Chengyuan Liu, Parvez Rashid, Edward F. Gehringer
ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments. EDM (2021)
Xiaoyi Duan, You Li, Chengyuan Liu, Xiuying Li, Wenfeng Liu, Guoqian Li
Research on the Method of Selecting the Optimal Feature Subset in Big Data for Energy Analysis Attack. ICDF2C (2021)
Kezhi Li, John Daniels, Chengyuan Liu, Pau Herrero, Pantelis Georgiou
Convolutional Recurrent Neural Networks for Glucose Prediction. IEEE J. Biomed. Health Informatics 24 (2) (2020)
Kezhi Li, Chengyuan Liu, Taiyu Zhu, Pau Herrero, Pantelis Georgiou
GluNet: A Deep Learning Framework for Accurate Glucose Forecasting. IEEE J. Biomed. Health Informatics 24 (2) (2020)
Chengyuan Liu, Jianglei Gong, Jiang Zhu, Jinxin Zhang, Yunyi Yan
Correlation Filter With Motion Detection for Robust Tracking of Shape-Deformed Targets. IEEE Access 8 (2020)
Xinhao Chen, Chengxia Wei, Wuhui Wu, Lizhen Guo, Chengyuan Liu, Gendi Lu
Based on Machine Learning Algorithm: Construction of an Early Prediction Model of Integrated Traditional Chinese and Western Medicine for Cognitive Impairment after Ischemic Stroke. UV (2020)
Chengyuan Liu, Josep Vehí, Nick Oliver, Pantelis Georgiou, Pau Herrero
Enhancing Blood Glucose Prediction with Meal Absorption and Physical Exercise Information. CoRR (2019)
Chengyuan Liu, Josep Vehí, Parizad Avari, Monika Reddy, Nick Oliver, Pantelis Georgiou, Pau Herrero
Long-Term Glucose Forecasting Using a Physiological Model and Deconvolution of the Continuous Glucose Monitoring Signal. Sensors 19 (19) (2019)
Kezhi Li, John Daniels, Pau Herrero Viñas, Chengyuan Liu, Pantelis Georgiou
Convolutional Recurrent Neural Networks for Blood Glucose Prediction. CoRR (2018)
Chongshan Lv, Ting Zhang, Chengyuan Liu
An Improved Otsu's Thresholding Algorithm on Gesture Segmentation. J. Adv. Comput. Intell. Intell. Informatics 21 (2) (2017)
Chengyuan Liu, Imad M. Jaimoukha
The computation of full-complexity polytopic robust control invariant sets. CDC (2015)