Chengyuan Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
12
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering. | Wenlin Zhong, Chengyuan Liu, Yiquan Wu, Bovin Tan, Changlong Sun, Yi Wang, Xiaozhong Liu, Kun Kuang |
| 2026 | ISCAS | A PN-Assisted Dynamic-Window Interstage Gain Calibration for Pipeline-SAR ADCs. | Li Dang, Chengyuan Liu, Yue Cao, Hongzhi Liang, Ruixue Ding, Shubin Liu, Zhangming Zhu |
| 2025 | ACL | Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction. | Yuting Huang, Chengyuan Liu, Yifeng Feng, Yiquan Wu, Chao Wu, Fei Wu, Kun Kuang |
| 2025 | ACL | UniLR: Unleashing the Power of LLMs on Multiple Legal Tasks with a Unified Legal Retriever. | Ang Li, Yiquan Wu, Yifei Liu, Ming Cai, Lizhi Qing, Shihang Wang, Yangyang Kang, Chengyuan Liu, Fei Wu, Kun Kuang |
| 2025 | EMNLP | CoEvo: Coevolution of LLM and Retrieval Model for Domain-Specific Information Retrieval. | Ang Li, Yiquan Wu, Yinghao Hu, Lizhi Qing, Shihang Wang, Chengyuan Liu, Tao Wu, Adam Jatowt, Ming Cai, Fei Wu, Kun Kuang |
| 2025 | NAACL | 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 |
| 2025 | VTC | Enhancement of UFLD by Improving Global Dependencies. | Jiye Yang, Kezhi Li, Bijie Yang, Yuanjian Zhang, Chengyuan Liu |
| 2024 | COLING | Evolving Knowledge Distillation with Large Language Models and Active Learning. | Chengyuan Liu, Fubang Zhao, Kun Kuang, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Fei Wu |
| 2024 | EDM | 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 |
| 2024 | EDM | Generative AI for Peer Assessment Helpfulness Evaluation. | Chengyuan Liu, Jialin Cui, Ruixuan Shang, Qinjin Jia, M. Parvez Rashid, Edward F. Gehringer |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | 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 |
| 2024 | IROS | Dynamic Modeling of Robotic Fish considering Background Flow using Koopman Operators. | Xiaozhu Lin, Song Liu, Chengyuan Liu, Yang Wang |
| 2024 | ITiCSE | 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 |
| 2023 | EMNLP | 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 |
| 2023 | FIE | 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 |
| 2022 | EDM | 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 |
| 2022 | EDM | 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 |
| 2022 | EMNLP | Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples. | Chengyuan Liu, Leilei Gan, Kun Kuang, Fei Wu |
| 2022 | ICSE | 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 |
| 2021 | EDM | 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 |
| 2021 | ISCAS | 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 |