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ORCIDChengyuan Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c20]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: 6717-6731- [c19]Bin Li
, Chengyuan Liu, Shuwen Chen, Liyuan Cui, Rui Zhang:
Hypergraph Matching for 3D Point Set. CVDL 2024: 69:1-69:5 - [c18]Qinjin Jia, Jialin Cui, Ruijie Xi, Chengyuan Liu, M. Parvez Rashid, Ruochi Li, Edward F. Gehringer:
On Assessing the Faithfulness of LLM-generated Feedback on Student Assignments. EDM 2024 - [c17]Chengyuan Liu, Jialin Cui, Ruixuan Shang, Qinjin Jia, M. Parvez Rashid, Edward F. Gehringer:
Generative AI for Peer Assessment Helpfulness Evaluation. EDM 2024 - [c16]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 - [i9]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 abs/2403.06414 (2024) - [i8]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 abs/2405.17830 (2024) - [i7]Chengyuan Liu, Shihang Wang, Fubang Zhao, Kun Kuang, Yangyang Kang, Weiming Lu, Changlong Sun, Fei Wu:
RexUniNLU: Recursive Method with Explicit Schema Instructor for Universal NLU. CoRR abs/2409.05275 (2024) - 2023
- [j8]Chao Ge, Chenlei Chang, Zheng Yao, Chengyuan Liu:
Event-Triggered Exponential Synchronization of Nonfragile Neural Networks. Autom. Control. Comput. Sci. 57(3): 222-233 (2023) - [j7]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: 106931 (2023) - [c15]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: 173-183 - [c14]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: 15342-15359 - [c13]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: 1-9 - [c12]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: 66-72 - [i6]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 abs/2304.14770 (2023) - [i5]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 abs/2309.11830 (2023) - 2022
- [j6]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): 20798-20809 (2022) - [c11]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 - [c10]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 - [c9]Chengyuan Liu, Leilei Gan, Kun Kuang, Fei Wu:
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples. EMNLP 2022: 5499-5512 - [c8]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: 40-49 - [c7]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: 83-90 - [i4]Chengyuan Liu, Leilei Gan, Kun Kuang, Fei Wu:
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples. CoRR abs/2210.08548 (2022) - 2021
- [c6]Chengyuan Liu, Mingfeng Wang, Xuefang Li, Svetan M. Ratchev:
Feedforward Enhancement through Iterative Learning Control for Robotic Manipulator. CASE 2021: 1067-1072 - [c5]Qinjin Jia, Jialin Cui, Yunkai Xiao, Chengyuan Liu, M. Parvez Rashid, Edward F. Gehringer:
ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments. EDM 2021 - [c4]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: 109-126 - [c3]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: 1-5 - [i3]Qinjin Jia, Jialin Cui, Yunkai Xiao, Chengyuan Liu, M. Parvez Rashid, Edward F. Gehringer:
ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments. CoRR abs/2110.03895 (2021) - 2020
- [j5]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: 89161-89170 (2020) - [j4]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): 414-423 (2020) - [j3]Kezhi Li, John Daniels, Chengyuan Liu, Pau Herrero, Pantelis Georgiou:
Convolutional Recurrent Neural Networks for Glucose Prediction. IEEE J. Biomed. Health Informatics 24(2): 603-613 (2020) - [c2]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: 1-7
2010 – 2019
- 2019
- [j2]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): 4338 (2019) - [i2]Chengyuan Liu, Josep Vehí, Nick Oliver, Pantelis Georgiou, Pau Herrero:
Enhancing Blood Glucose Prediction with Meal Absorption and Physical Exercise Information. CoRR abs/1901.07467 (2019) - 2018
- [i1]Kezhi Li, John Daniels, Pau Herrero Viñas, Chengyuan Liu, Pantelis Georgiou:
Convolutional Recurrent Neural Networks for Blood Glucose Prediction. CoRR abs/1807.03043 (2018) - 2017
- [j1]Chongshan Lv, Ting Zhang, Chengyuan Liu:
An Improved Otsu's Thresholding Algorithm on Gesture Segmentation. J. Adv. Comput. Intell. Intell. Informatics 21(2): 247-250 (2017) - 2015
- [c1]Chengyuan Liu, Imad M. Jaimoukha:
The computation of full-complexity polytopic robust control invariant sets. CDC 2015: 6233-6238
Coauthor Index
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