| 2025 | ACL | From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities. | Shixin Jiang, Jiafeng Liang, Jiyuan Wang, Xuan Dong, Heng Chang, Weijiang Yu, Jinhua Du, Ming Liu, Bing Qin |
| 2025 | ACL | A Survey of Post-Training Scaling in Large Language Models. | Hanyu Lai, Xiao Liu, Junjie Gao, Jiale Cheng, Zehan Qi, Yifan Xu, Shuntian Yao, Dan Zhang, Jinhua Du, Zhenyu Hou, Xin Lv, Minlie Huang, Yuxiao Dong, Jie Tang |
| 2025 | ACL | Generating Domain-Specific Knowledge Graphs from Large Language Models. | Marinela Parovic, Ze Li, Jinhua Du |
| 2025 | ACL | EnigmaToM: Improve LLMs' Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity States. | Hainiu Xu, Siya Qi, Jiazheng Li, Yuxiang Zhou, Jinhua Du, Caroline Catmur, Yulan He |
| 2024 | ACL | OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models. | Hainiu Xu, Runcong Zhao, Lixing Zhu, Jinhua Du, Yulan He |
| 2024 | KDD | Path-based Explanation for Knowledge Graph Completion. | Heng Chang, Jiangnan Ye, Alejo Lopez-Avila, Jinhua Du, Jia Li |
| 2023 | TrustCom | KrNER: A Novel Named Entity Recognition Method Based on Knowledge Enhancement and Remote Supervision. | Jinhua Du, Hao Yin |
| 2023 | TrustCom | KLDP: A Data Profiling Technique Based on Knowledge Graph and Large Language Modeling. | Jinhua Du, Hao Yin |
| 2021 | AAAI | Knowledge-aware Leap-LSTM: Integrating Prior Knowledge into Leap-LSTM towards Faster Long Text Classification. | Jinhua Du, Yan Huang, Karo Moilanen |
| 2021 | ISPA | Research on An Approach of ARP Flooding Suppression in Multi-Controller SDN Networks. | Jinhua Du, Xianming Gao, Jingchao Wang, Shaohua Liu, Weipeng Cao, Yanbo Song, Shanqing Jiang |
| 2020 | COLING | Pointing to Select: A Fast Pointer-LSTM for Long Text Classification. | Jinhua Du, Yan Huang, Karo Moilanen |
| 2019 | EMNLP | Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction. | Yuyun Huang, Jinhua Du |
| 2018 | ACL | NextGen AML: Distributed Deep Learning based Language Technologies to Augment Anti Money Laundering Investigation. | Jingguang Han, Utsab Barman, Jer Hayes, Jinhua Du, Edward Burgin, Dadong Wan |
| 2018 | EMNLP | Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction. | Jinhua Du, Jingguang Han, Andy Way, Dadong Wan |
| 2017 | IJCNLP | Semantics-Enhanced Task-Oriented Dialogue Translation: A Case Study on Hotel Booking. | Longyue Wang, Jinhua Du, Liangyou Li, Zhaopeng Tu, Andy Way, Qun Liu |
| 2016 | AMTA | Improving KantanMT Training Efficiency with fast_align. | Dimitar Shterionov, Jinhua Du, Marc Anthony Palminteri, Laura Casanellas, Tony O'Dowd, Andy Way |
| 2016 | LREC | Using BabelNet to Improve OOV Coverage in SMT. | Jinhua Du, Andy Way, Andrzej Zydron |
| 2016 | LREC | ProphetMT: A Tree-based SMT-driven Controlled Language Authoring/Post-Editing Tool. | Xiaofeng Wu, Jinhua Du, Qun Liu, Andy Way |
| 2010 | AMTA | Combining Multi-Domain Statistical Machine Translation Models using Automatic Classifiers. | Pratyush Banerjee, Jinhua Du, Baoli Li, Sudip Kumar Naskar, Andy Way, Josef van Genabith |
| 2010 | AMTA | Using TERp to Augment the System Combination for SMT. | Jinhua Du, Andy Way |
| 2010 | AMTA | Improved Phrase-based SMT with Syntactic Reordering Patterns Learned from Lattice Scoring. | Jie Jiang, Jinhua Du, Andy Way |
| 2010 | COLING | A Discriminative Latent Variable-Based "DE" Classifier for Chinese-English SMT. | Jinhua Du, Andy Way |
| 2010 | EAMT | TMX Markup: A Challenge When Adapting SMT to the Localisation Environment. | Jinhua Du, Johann Roturier, Andy Way |
| 2010 | EAMT | The Impact of Source-Side Syntactic Reordering on Hierarchical Phrase-based SMT. | Jinhua Du, Andy Way |
| 2010 | EMNLP | Facilitating Translation Using Source Language Paraphrase Lattices. | Jinhua Du, Jie Jiang, Andy Way |
| 2009 | Interspeech | Using same-language machine translation to create alternative target sequences for text-to-speech synthesis. | Peter Cahill, Jinhua Du, Andy Way, Julie Carson-Berndsen |
| 2007 | ISPASS | Understanding the Memory Performance of Data-Mining Workloads on Small, Medium, and Large-Scale CMPs Using Hardware-Software Co-simulation. | Wenlong Li, Eric Q. Li, Aamer Jaleel, Jiulong Shan, Yurong Chen, Qigang Wang, Ravi R. Iyer, Ramesh Illikkal, Yimin Zhang, Dong Liu, Michael Liao, Wei Wei, Jinhua Du |