| 2026 | ASPLOS | Bullet: Boosting GPU Utilization for LLM Serving via Dynamic Spatial-Temporal Orchestration. | Zejia Lin, Hongxin Xu, Guanyi Chen, Zhiguang Chen, Yutong Lu, Xianwei Zhang |
| 2026 | KSEM | Enhancing Document-Level Event Causality Identification via Event Semantic Consistency and Causal Hypergraph Modeling. | Weiying Chen, Po Hu, Guanyi Chen |
| 2026 | SODA | Detecting Correlation Efficiently in Very Supercritical Stochastic Block Models: Breaking the Otter's Threshold Barrier. | Guanyi Chen, Jian Ding, Shuyang Gong, Zhangsong Li |
| 2025 | COLING | On the Human-level Performance of Visual Question Answering. | Chenlian Zhou, Guanyi Chen, Xin Bai, Ming Dong |
| 2025 | INLG | Incorporating Formulaicness in the Automatic Evaluation of Naturalness: A Case Study in Logic-to-Text Generation. | Eduardo Cal, Guanyi Chen, Elias Stengel-Eskin, Albert Gatt, Kees van Deemter |
| 2025 | INLG | Annotating Hallucinations in Question-Answering using Rewriting. | Xu Liu, Guanyi Chen, Kees van Deemter, Tingting He |
| 2025 | INLG | Analysing Reference Production of Large Language Models. | Chengzhao Wu, Guanyi Chen, Fahime Same, Tingting He |
| 2024 | ACL | Intrinsic Task-based Evaluation for Referring Expression Generation. | Guanyi Chen, Fahime Same, Kees van Deemter |
| 2024 | COLING | GPTEval: A Survey on Assessments of ChatGPT and GPT-4. | Rui Mao, Guanyi Chen, Xulang Zhang, Frank Guerin, Erik Cambria |
| 2024 | COLING | Computational Modelling of Plurality and Definiteness in Chinese Noun Phrases. | Yuqi Liu, Guanyi Chen, Kees van Deemter |
| 2023 | IJCNN | A Multi-task Learning Model for Gold-two-mention Co-reference Resolution. | Ruicheng Liu, Guanyi Chen, Rui Mao, Erik Cambria |
| 2023 | INLG | Models of reference production: How do they withstand the test of time? | Fahime Same, Guanyi Chen, Kees van Deemter |
| 2022 | ACL | Non-neural Models Matter: a Re-evaluation of Neural Referring Expression Generation Systems. | Fahime Same, Guanyi Chen, Kees van Deemter |
| 2022 | IJCNLP | Understanding the Use of Quantifiers in Mandarin. | Guanyi Chen, Kees van Deemter |
| 2022 | IGARSS | Recognition for Underground Voids in C-Scans Based on GRU Using Ground Penetrating Radar. | Xu Bai, Yang Zhang, Pengfei Feng, Guanyi Chen, Jinglong Liu, Zhitao Wen, Haoxiang Tian |
| 2022 | IGARSS | Recognition For Underground Voids in C-SCANS Based On LSTM Using Ground Penetrating Radar. | Xu Bai, Yang Zhang, Pengfei Feng, Guanyi Chen, Jinglong Liu, Zhitao Wen, Haoxiang Tian |
| 2022 | LREC | MMChat: Multi-Modal Chat Dataset on Social Media. | Yinhe Zheng, Guanyi Chen, Xin Liu, Jian Sun |
| 2021 | INLG | What can Neural Referential Form Selectors Learn? | Guanyi Chen, Fahime Same, Kees van Deemter |
| 2021 | INLG | Using BERT for choosing classifiers in Mandarin. | Jani Jrnfors, Guanyi Chen, Kees van Deemter, Rint Sybesma |
| 2021 | INLG | Affective Decoding for Empathetic Response Generation. | Chengkun Zheng, Guanyi Chen, Chenghua Lin, Ruizhe Li, Zhi Chen |
| 2021 | IGARSS | Subsurface Voids Detection from Limited Ground Penetrating Radar Data Using Generative Adversarial Network and YOLOV5. | Guanyi Chen, Xu Bai, Gang Wang, Long Wang, Xuerong Luo, Mingjie Ji, Pengfei Feng, Yang Zhang |
| 2021 | NAACL | Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis. | Xutan Peng, Guanyi Chen, Chenghua Lin, Mark Stevenson |
| 2020 | COLING | Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation. | Ruizhe Li, Xiao Li, Guanyi Chen, Chenghua Lin |
| 2020 | EMNLP | DGST: a Dual-Generator Network for Text Style Transfer. | Xiao Li, Guanyi Chen, Chenghua Lin, Ruizhe Li |
| 2020 | INLG | Lessons from Computational Modelling of Reference Production in Mandarin and English. | Guanyi Chen, Kees van Deemter |
| 2020 | INLG | Listener's Social Identity Matters in Personalised Response Generation. | Guanyi Chen, Yinhe Zheng, Yupei Du |
| 2020 | INLG | Gradations of Error Severity in Automatic Image Descriptions. | Emiel van Miltenburg, Wei-Ting Lu, Emiel Krahmer, Albert Gatt, Guanyi Chen, Lin Li, Kees van Deemter |
| 2019 | CoNLL | A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification. | Ruizhe Li, Chenghua Lin, Matthew Collinson, Xiao Li, Guanyi Chen |
| 2019 | INLG | Generating Quantified Descriptions of Abstract Visual Scenes. | Guanyi Chen, Kees van Deemter, Chenghua Lin |
| 2019 | INLG | QTUNA: A Corpus for Understanding How Speakers Use Quantification. | Guanyi Chen, Kees van Deemter, Silvia Pagliaro, Louk Smalbil, Chenghua Lin |
| 2019 | INLG | A Closer Look at Recent Results of Verb Selection for Data-to-Text NLG. | Guanyi Chen, Jin-Ge Yao |
| 2019 | VTC | Residual Energy Optimization for MIMO SWIPT Two-Way Relaying System. | Guanyi Chen, Jinlong Wang, Gang Wang, Yikun Zou, Donglai Zhao |
| 2018 | INLG | SimpleNLG-ZH: a Linguistic Realisation Engine for Mandarin. | Guanyi Chen, Kees van Deemter, Chenghua Lin |
| 2018 | INLG | Modelling Pro-drop with the Rational Speech Acts Model. | Guanyi Chen, Kees van Deemter, Chenghua Lin |