| 2026 | ACL | MessToClean: Evidence-Grounded Structure-Preserving Reconstruction for Real-World Degraded Exam Paper Images. | Jiayi Tuo, Cheng Tang, Zihan Wang, Chenyue Zhou, Yao Li, Yanbiao Ma, Chao Wang, Wei Dai, Mingxuan Wang, Shitong Qin, Ziwei Zhao |
| 2026 | ISKE | Re-KGR: Mitigating Factual Hallucinations via Hybrid Graph Reasoning and Semantic Refinement. | Yuxuan Li, Xinzhi Wang, Ruishen Liu, Mingxuan Wang, Xiangfeng Luo |
| 2026 | ISKE | SPARQ: Graph-Structured Queries Drive GNN Retrieval for Knowledge Graph Question Answering. | Mingxuan Wang, Xinzhi Wang, Ruishen Liu, Yuxuan Li, Xiangfeng Luo |
| 2026 | KSEM | Enhancing Grounded Multimodal Named Entity Recognition with Dual-Level Representation Alignment. | Xinzhi Wang, Mingxuan Wang, Ruishen Liu, Xiangfeng Luo |
| 2025 | AAAI | Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst. | Shijue Huang, Wanjun Zhong, Deng Cai, Fanqi Wan, Chengyi Wang, Mingxuan Wang, Mu Qiao, Ruifeng Xu |
| 2025 | EMNLP | Both Text and Images Leaked! A Systematic Analysis of Data Contamination in Multimodal LLM. | Dingjie Song, Sicheng Lai, Mingxuan Wang, Shunian Chen, Lichao Sun, Benyou Wang |
| 2025 | IJCNN | CDE-CCL: A Classroom Dialogue Evaluation Framework for Chinese Core Literacy via LLM. | Mingxuan Wang, Yifan Zhao, Mingyang Yue, Guomin Zheng, Jun He, Bo Sun |
| 2024 | ICLR | PolyVoice: Language Models for Speech to Speech Translation. | Qianqian Dong, Zhiying Huang, Qi Tian, Chen Xu, Tom Ko, Yunlong Zhao, Siyuan Feng, Tang Li, Kexin Wang, Xuxin Cheng, Fengpeng Yue, Ye Bai, Xi Chen, Lu Lu, Zejun Ma, Yuping Wang, Mingxuan Wang, Yuxuan Wang |
| 2024 | NAACL | Diffusion Glancing Transformer for Parallel Sequence-to-Sequence Learning. | Lihua Qian, Mingxuan Wang, Yang Liu, Hao Zhou |
| 2023 | ACL | CTC-based Non-autoregressive Speech Translation. | Chen Xu, Xiaoqian Liu, Xiaowen Liu, Qingxuan Sun, Yuhao Zhang, Murun Yang, Qianqian Dong, Tom Ko, Mingxuan Wang, Tong Xiao, Anxiang Ma, Jingbo Zhu |
| 2023 | ACL | BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation. | Liyan Kang, Luyang Huang, Ningxin Peng, Peihao Zhu, Zewei Sun, Shanbo Cheng, Mingxuan Wang, Degen Huang, Jinsong Su |
| 2023 | ACL | MobileNMT: Enabling Translation in 15MB and 30ms. | Ye Lin, Xiaohui Wang, Zhexi Zhang, Mingxuan Wang, Tong Xiao, Jingbo Zhu |
| 2023 | ACL | Controlling Styles in Neural Machine Translation with Activation Prompt. | Yifan Wang, Zewei Sun, Shanbo Cheng, Weiguo Zheng, Mingxuan Wang |
| 2023 | ACL | MOSPC: MOS Prediction Based on Pairwise Comparison. | Kexin Wang, Yunlong Zhao, Qianqian Dong, Tom Ko, Mingxuan Wang |
| 2023 | ACL | SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes. | Wenda Xu, Xian Qian, Mingxuan Wang, Lei Li, William Yang Wang |
| 2023 | ACL | BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training. | Yiming Yan, Tao Wang, Chengqi Zhao, Shujian Huang, Jiajun Chen, Mingxuan Wang |
| 2023 | ACL | DUB: Discrete Unit Back-translation for Speech Translation. | Dong Zhang, Rong Ye, Tom Ko, Mingxuan Wang, Yaqian Zhou |
| 2023 | ACL | Beyond Triplet: Leveraging the Most Data for Multimodal Machine Translation. | Yaoming Zhu, Zewei Sun, Shanbo Cheng, Luyang Huang, Liwei Wu, Mingxuan Wang |
| 2023 | CVPR | Leveraging per Image-Token Consistency for Vision-Language Pre-training. | Yunhao Gou, Tom Ko, Hansi Yang, James T. Kwok, Yu Zhang, Mingxuan Wang |
| 2023 | ICASSP | M | Xuxin Cheng, Qianqian Dong, Fengpeng Yue, Tom Ko, Mingxuan Wang, Yuexian Zou |
| 2023 | IJCAI | Recent Advances in Direct Speech-to-text Translation. | Chen Xu, Rong Ye, Qianqian Dong, Chengqi Zhao, Tom Ko, Mingxuan Wang, Tong Xiao, Jingbo Zhu |
| 2023 | IJCNLP | Only 5% Attention Is All You Need: Efficient Long-range Document-level Neural Machine Translation. | Zihan Liu, Zewei Sun, Shanbo Cheng, Shujian Huang, Mingxuan Wang |
| 2023 | Interspeech | CoBERT: Self-Supervised Speech Representation Learning Through Code Representation Learning. | Chutong Meng, Junyi Ao, Tom Ko, Mingxuan Wang, Haizhou Li |
| 2023 | Interspeech | GigaST: A 10, 000-hour Pseudo Speech Translation Corpus. | Rong Ye, Chengqi Zhao, Tom Ko, Chutong Meng, Tao Wang, Mingxuan Wang, Jun Cao |
| 2022 | ACL | Learning When to Translate for Streaming Speech. | Qian Dong, Yaoming Zhu, Mingxuan Wang, Lei Li |
| 2022 | ACL | STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation. | Qingkai Fang, Rong Ye, Lei Li, Yang Feng, Mingxuan Wang |
| 2022 | ACL | Rethinking Document-level Neural Machine Translation. | Zewei Sun, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Shujian Huang, Jiajun Chen, Lei Li |
| 2022 | ICASSP | Unified Multimodal Punctuation Restoration Framework for Mixed-Modality Corpus. | Yaoming Zhu, Liwei Wu, Shanbo Cheng, Mingxuan Wang |
| 2022 | ICLR | switch-GLAT: Multilingual Parallel Machine Translation Via Code-Switch Decoder. | Zhenqiao Song, Hao Zhou, Lihua Qian, Jingjing Xu, Shanbo Cheng, Mingxuan Wang, Lei Li |
| 2022 | Interspeech | Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation. | Qianqian Dong, Fengpeng Yue, Tom Ko, Mingxuan Wang, Qibing Bai, Yu Zhang |
| 2022 | NAACL | Cross-modal Contrastive Learning for Speech Translation. | Rong Ye, Mingxuan Wang, Lei Li |
| 2022 | SC | LightSeq2: Accelerated Training for Transformer-Based Models on GPUs. | Xiaohui Wang, Yang Wei, Ying Xiong, Guyue Huang, Xian Qian, Yufei Ding, Mingxuan Wang, Lei Li |
| 2021 | AAAI | Consecutive Decoding for Speech-to-text Translation. | Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li |
| 2021 | AAAI | Listen, Understand and Translate: Triple Supervision Decouples End-to-end Speech-to-text Translation. | Qianqian Dong, Rong Ye, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li |
| 2021 | AAAI | Finding Sparse Structures for Domain Specific Neural Machine Translation. | Jianze Liang, Chengqi Zhao, Mingxuan Wang, Xipeng Qiu, Lei Li |
| 2021 | ACL | Learning Shared Semantic Space for Speech-to-Text Translation. | Chi Han, Mingxuan Wang, Heng Ji, Lei Li |
| 2021 | ACL | Learning Language Specific Sub-network for Multilingual Machine Translation. | Zehui Lin, Liwei Wu, Mingxuan Wang, Lei Li |
| 2021 | ACL | Contrastive Learning for Many-to-many Multilingual Neural Machine Translation. | Xiao Pan, Mingxuan Wang, Liwei Wu, Lei Li |
| 2021 | ACL | Glancing Transformer for Non-Autoregressive Neural Machine Translation. | Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei Li |
| 2021 | ACL | Language Tags Matter for Zero-Shot Neural Machine Translation. | Liwei Wu, Shanbo Cheng, Mingxuan Wang, Lei Li |
| 2021 | ACL | NeurST: Neural Speech Translation Toolkit. | Chengqi Zhao, Mingxuan Wang, Qianqian Dong, Rong Ye, Lei Li |
| 2021 | EMNLP | Learning Kernel-Smoothed Machine Translation with Retrieved Examples. | Qingnan Jiang, Mingxuan Wang, Jun Cao, Shanbo Cheng, Shujian Huang, Lei Li |
| 2021 | EMNLP | Multilingual Translation via Grafting Pre-trained Language Models. | Zewei Sun, Mingxuan Wang, Lei Li |
| 2021 | EMNLP | Secoco: Self-Correcting Encoding for Neural Machine Translation. | Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Hang Li, Deyi Xiong |
| 2021 | EMNLP | Counter-Interference Adapter for Multilingual Machine Translation. | Yaoming Zhu, Jiangtao Feng, Chengqi Zhao, Mingxuan Wang, Lei Li |
| 2021 | Interspeech | End-to-End Speech Translation via Cross-Modal Progressive Training. | Rong Ye, Mingxuan Wang, Lei Li |
| 2021 | NAACL | Generative Imagination Elevates Machine Translation. | Quanyu Long, Mingxuan Wang, Lei Li |
| 2021 | NAACL | Cross-lingual Supervision Improves Unsupervised Neural Machine Translation. | Mingxuan Wang, Hongxiao Bai, Lei Li, Hai Zhao |
| 2021 | NAACL | LightSeq: A High Performance Inference Library for Transformers. | Xiaohui Wang, Ying Xiong, Yang Wei, Mingxuan Wang, Lei Li |
| 2021 | NAACL | Autocorrect in the Process of Translation - Multi-task Learning Improves Dialogue Machine Translation. | Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Deyi Xiong |
| 2020 | AAAI | Towards Making the Most of BERT in Neural Machine Translation. | Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Weinan Zhang, Yong Yu, Lei Li |
| 2020 | ACL | Xiaomingbot: A Multilingual Robot News Reporter. | Runxin Xu, Jun Cao, Mingxuan Wang, Jiaze Chen, Hao Zhou, Ying Zeng, Yuping Wang, Li Chen, Xiang Yin, Xijin Zhang, Songcheng Jiang, Yuxuan Wang, Lei Li |
| 2020 | AISTATS | Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. | Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li |
| 2020 | EMNLP | Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information. | Zehui Lin, Xiao Pan, Mingxuan Wang, Xipeng Qiu, Jiangtao Feng, Hao Zhou, Lei Li |
| 2020 | EMNLP | On the Sentence Embeddings from Pre-trained Language Models. | Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li |
| 2020 | EMNLP | Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space. | Dongyu Ru, Jiangtao Feng, Lin Qiu, Hao Zhou, Mingxuan Wang, Weinan Zhang, Yong Yu, Lei Li |
| 2019 | ACL | Imitation Learning for Non-Autoregressive Neural Machine Translation. | Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, Xu Sun |
| 2019 | EMNLP | Towards Linear Time Neural Machine Translation with Capsule Networks. | Mingxuan Wang, Jun Xie, Zhixing Tan, Jinsong Su, Deyi Xiong, Lei Li |
| 2018 | AAAI | Deep Semantic Role Labeling With Self-Attention. | Zhixing Tan, Mingxuan Wang, Jun Xie, Yidong Chen, Xiaodong Shi |
| 2018 | COLING | Neural Machine Translation with Decoding History Enhanced Attention. | Mingxuan Wang, Jun Xie, Zhixing Tan, Jinsong Su, Deyi Xiong, Chao Bian |
| 2017 | ACL | Deep Neural Machine Translation with Linear Associative Unit. | Mingxuan Wang, Zhengdong Lu, Jie Zhou, Qun Liu |
| 2017 | ACL | Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation. | Jinchao Zhang, Mingxuan Wang, Qun Liu, Jie Zhou |
| 2016 | EMNLP | Memory-enhanced Decoder for Neural Machine Translation. | Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu |
| 2015 | ACL | Encoding Source Language with Convolutional Neural Network for Machine Translation. | Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu |
| 2015 | ACL | genCNN: A Convolutional Architecture for Word Sequence Prediction. | Mingxuan Wang, Zhengdong Lu, Hang Li, Wenbin Jiang, Qun Liu |
| 2015 | IJCAI | Syntax-Based Deep Matching of Short Texts. | Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu |
| 2011 | IJCNN | A class of fast quaternion valued variable stepsize stochastic gradient learning algorithms for vector sensor processes. | Mingxuan Wang, Clive Cheong Took, Danilo P. Mandic |