| 2026 | AAAI | SageLM: A Multi-aspect and Explainable Large Language Model for Speech Judgement. | Yuan Ge, Junxiang Zhang, Xiaoqian Liu, Bei Li, Xiangnan Ma, Chenglong Wang, Kaiyang Ye, Yangfan Du, Linfeng Zhang, Yuxin Huang, Tong Xiao, Zhengtao Yu, Jingbo Zhu |
| 2026 | AAAI | WaveEx: Accelerating Flow Matching-based Speech Generation via Wavelet-guided Extrapolation. | Xiaoqian Liu, Xiyan Gui, Zhengkun Ge, Yuan Ge, Chang Zou, Jiacheng Liu, Zhikang Niu, Qixi Zheng, Chen Xu, Xie Chen, Tong Xiao, Jingbo Zhu, Linfeng Zhang |
| 2026 | AAAI | Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models. | Chenglong Wang, Yifu Huo, Yang Gan, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Chunliang Zhang, Tongran Liu, Anxiang Ma, Zhengtao Yu, Jingbo Zhu, Tong Xiao |
| 2026 | AAAI | GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning. | Chenglong Wang, Yongyu Mu, Hang Zhou, Yifu Huo, Ziming Zhu, Jiali Zeng, Murun Yang, Bei Li, Xiaoyang Hao, Chunliang Zhang, Fandong Meng, Jingbo Zhu, Tong Xiao |
| 2026 | ACL | NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs. | Yingfeng Luo, Ziqiang Xu, Yuxuan Ouyang, Murun Yang, Dingyang Lin, Kaiyan Chang, Tong Zheng, Bei Li, Peinan Feng, Quan Du, Tong Xiao, Jingbo Zhu |
| 2026 | ACL | MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks. | Junhao Ruan, Abudukeyumu Abudula, Bei Li, Yongjing Yin, Xinyu Liu, Kechen Jiao, Xin Chen, Jingang Wang, Xunliang Cai, Tong Xiao, Jingbo Zhu |
| 2025 | AAAI | RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data. | Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Murun Yang, Qiaozhi He, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu |
| 2025 | COLING | SLAM: Towards Efficient Multilingual Reasoning via Selective Language Alignment. | Yuchun Fan, Yongyu Mu, Yilin Wang, Lei Huang, Junhao Ruan, Bei Li, Tong Xiao, Shujian Huang, Xiaocheng Feng, Jingbo Zhu |
| 2025 | ICASSP | A Modular-based Strategy for Mitigating Gradient Conflicts in Simultaneous Speech Translation. | Xiaoqian Liu, Yangfan Du, Jianjin Wang, Yuan Ge, Chen Xu, Tong Xiao, Guocheng Chen, Jingbo Zhu |
| 2025 | ICASSP | Adaptive Decoding for Efficient Automatic Speech Recognition. | Xiangnan Ma, Peizhuo Liu, Yuhao Zhang, Kaiqi Kou, Chenghao Gao, Tong Xiao, Jingbo Zhu |
| 2025 | ICASSP | Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal Models. | Yongyu Mu, Hengyu Li, Junxin Wang, Xiaoxuan Zhou, Chenglong Wang, Yingfeng Luo, Qiaozhi He, Tong Xiao, Guocheng Chen, Jingbo Zhu |
| 2025 | ICASSP | Optimizing Speech Multi-View Feature Fusion through Conditional Computation. | Weiqiao Shan, Yuhao Zhang, Yuchen Han, Bei Li, Xiaofeng Zhao, Yuang Li, Min Zhang, Hao Yang, Tong Xiao, Jingbo Zhu |
| 2024 | AAAI | ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation. | Chenglong Wang, Hang Zhou, Yimin Hu, Yifu Huo, Bei Li, Tongran Liu, Tong Xiao, Jingbo Zhu |
| 2024 | COLING | RankPrompt: Step-by-Step Comparisons Make Language Models Better Reasoners. | Chi Hu, Yuan Ge, Xiangnan Ma, Hang Cao, Qiang Li, Yonghua Yang, Tong Xiao, Jingbo Zhu |
| 2024 | ICASSP | Bridging the Gaps of Both Modality and Language: Synchronous Bilingual CTC for Speech Translation and Speech Recognition. | Chen Xu, Xiaoqian Liu, Erfeng He, Yuhao Zhang, Qianqian Dong, Tong Xiao, Jingbo Zhu, Dapeng Man, Wu Yang |
| 2024 | ICASSP | Soft Alignment of Modality Space for End-to-End Speech Translation. | Yuhao Zhang, Kaiqi Kou, Bei Li, Chen Xu, Chunliang Zhang, Tong Xiao, Jingbo Zhu |
| 2024 | IJCAI | Recent Advances in End-to-End Simultaneous Speech Translation. | Xiaoqian Liu, Guoqiang Hu, Yangfan Du, Erfeng He, Yingfeng Luo, Chen Xu, Tong Xiao, Jingbo Zhu |
| 2023 | AAAI | Prompting Neural Machine Translation with Translation Memories. | Abudurexiti Reheman, Tao Zhou, Yingfeng Luo, Di Yang, Tong Xiao, Jingbo Zhu |
| 2023 | AAAI | Improving End-to-End Speech Translation by Leveraging Auxiliary Speech and Text Data. | Yuhao Zhang, Chen Xu, Bojie Hu, Chunliang Zhang, Tong Xiao, Jingbo Zhu |
| 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 | Bridging the Granularity Gap for Acoustic Modeling. | Chen Xu, Yuhao Zhang, Chengbo Jiao, Xiaoqian Liu, Chi Hu, Xin Zeng, Tong Xiao, Anxiang Ma, Huizhen Wang, Jingbo Zhu |
| 2023 | ACL | Improving Autoregressive Grammatical Error Correction with Non-autoregressive Models. | Hang Cao, Zhiquan Cao, Chi Hu, Baoyu Hou, Tong Xiao, Jingbo Zhu |
| 2023 | ACL | Modality Adaption or Regularization? A Case Study on End-to-End Speech Translation. | Yuchen Han, Chen Xu, Tong Xiao, Jingbo Zhu |
| 2023 | ACL | TranSFormer: Slow-Fast Transformer for Machine Translation. | Bei Li, Yi Jing, Xu Tan, Zhen Xing, Tong Xiao, Jingbo Zhu |
| 2023 | ACL | MobileNMT: Enabling Translation in 15MB and 30ms. | Ye Lin, Xiaohui Wang, Zhexi Zhang, Mingxuan Wang, Tong Xiao, Jingbo Zhu |
| 2023 | ACL | Augmenting Large Language Model Translators via Translation Memories. | Yongyu Mu, Abudurexiti Reheman, Zhiquan Cao, Yuchun Fan, Bei Li, Yinqiao Li, Tong Xiao, Chunliang Zhang, Jingbo Zhu |
| 2023 | EMNLP | Rethinking and Improving Multi-task Learning for End-to-end Speech Translation. | Yuhao Zhang, Chen Xu, Bei Li, Hao Chen, Tong Xiao, Chunliang Zhang, Jingbo Zhu |
| 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 | Interspeech | Information Magnitude Based Dynamic Sub-sampling for Speech-to-text. | Yuhao Zhang, Chenghao Gao, Kaiqi Kou, Chen Xu, Tong Xiao, Jingbo Zhu |
| 2022 | ACL | ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation. | Bei Li, Quan Du, Tao Zhou, Yi Jing, Shuhan Zhou, Xin Zeng, Tong Xiao, Jingbo Zhu, Xuebo Liu, Min Zhang |
| 2022 | ACL | On Vision Features in Multimodal Machine Translation. | Bei Li, Chuanhao Lv, Zefan Zhou, Tao Zhou, Tong Xiao, Anxiang Ma, Jingbo Zhu |
| 2022 | EMNLP | Multi-Path Transformer is Better: A Case Study on Neural Machine Translation. | Ye Lin, Shuhan Zhou, Yanyang Li, Anxiang Ma, Tong Xiao, Jingbo Zhu |
| 2022 | EMNLP | Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection. | Chenglong Wang, Yi Lu, Yongyu Mu, Yimin Hu, Tong Xiao, Jingbo Zhu |
| 2022 | ICML | Learning Multiscale Transformer Models for Sequence Generation. | Bei Li, Tong Zheng, Yi Jing, Chengbo Jiao, Tong Xiao, Jingbo Zhu |
| 2021 | AAAI | An Efficient Transformer Decoder with Compressed Sub-layers. | Yanyang Li, Ye Lin, Tong Xiao, Jingbo Zhu |
| 2021 | AAAI | Learning Light-Weight Translation Models from Deep Transformer. | Bei Li, Ziyang Wang, Hui Liu, Quan Du, Tong Xiao, Chunliang Zhang, Jingbo Zhu |
| 2021 | ACL | Weight Distillation: Transferring the Knowledge in Neural Network Parameters. | Ye Lin, Yanyang Li, Ziyang Wang, Bei Li, Quan Du, Tong Xiao, Jingbo Zhu |
| 2021 | ACL | Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders. | Chen Xu, Bojie Hu, Yanyang Li, Yuhao Zhang, Shen Huang, Qi Ju, Tong Xiao, Jingbo Zhu |
| 2021 | EMNLP | RankNAS: Efficient Neural Architecture Search by Pairwise Ranking. | Chi Hu, Chenglong Wang, Xiangnan Ma, Xia Meng, Yinqiao Li, Tong Xiao, Jingbo Zhu, Changliang Li |
| 2021 | EMNLP | Bag of Tricks for Optimizing Transformer Efficiency. | Ye Lin, Yanyang Li, Tong Xiao, Jingbo Zhu |
| 2020 | AAAI | Neural Machine Translation with Joint Representation. | Yanyang Li, Qiang Wang, Tong Xiao, Tongran Liu, Jingbo Zhu |
| 2020 | ACL | Learning Architectures from an Extended Search Space for Language Modeling. | Yinqiao Li, Chi Hu, Yuhao Zhang, Nuo Xu, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li |
| 2020 | ACL | Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation. | Bei Li, Hui Liu, Ziyang Wang, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li |
| 2020 | COLING | A Simple and Effective Approach to Robust Unsupervised Bilingual Dictionary Induction. | Yanyang Li, Yingfeng Luo, Ye Lin, Quan Du, Huizhen Wang, Shujian Huang, Tong Xiao, Jingbo Zhu |
| 2020 | COLING | Layer-Wise Multi-View Learning for Neural Machine Translation. | Qiang Wang, Changliang Li, Yue Zhang, Tong Xiao, Jingbo Zhu |
| 2020 | COLING | Dynamic Curriculum Learning for Low-Resource Neural Machine Translation. | Chen Xu, Bojie Hu, Yufan Jiang, Kai Feng, Zeyang Wang, Shen Huang, Qi Ju, Tong Xiao, Jingbo Zhu |
| 2020 | EMNLP | Shallow-to-Deep Training for Neural Machine Translation. | Bei Li, Ziyang Wang, Hui Liu, Yufan Jiang, Quan Du, Tong Xiao, Huizhen Wang, Jingbo Zhu |
| 2020 | EMNLP | Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation. | Qiang Wang, Tong Xiao, Jingbo Zhu |
| 2020 | IJCAI | Towards Fully 8-bit Integer Inference for the Transformer Model. | Ye Lin, Yanyang Li, Tengbo Liu, Tong Xiao, Tongran Liu, Jingbo Zhu |
| 2019 | ACL | Shared-Private Bilingual Word Embeddings for Neural Machine Translation. | Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao, Jingbo Zhu |
| 2019 | ACL | Learning Deep Transformer Models for Machine Translation. | Qiang Wang, Bei Li, Tong Xiao, Jingbo Zhu, Changliang Li, Derek F. Wong, Lidia S. Chao |
| 2019 | EMNLP | Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition. | Yufan Jiang, Chi Hu, Tong Xiao, Chunliang Zhang, Jingbo Zhu |
| 2019 | IJCAI | Sharing Attention Weights for Fast Transformer. | Tong Xiao, Yinqiao Li, Jingbo Zhu, Zhengtao Yu, Tongran Liu |
| 2018 | ACL | A Simple and Effective Approach to Coverage-Aware Neural Machine Translation. | Yanyang Li, Tong Xiao, Yinqiao Li, Qiang Wang, Changming Xu, Jingbo Zhu |
| 2018 | COLING | Multi-layer Representation Fusion for Neural Machine Translation. | Qiang Wang, Fuxue Li, Tong Xiao, Yanyang Li, Yinqiao Li, Jingbo Zhu |
| 2018 | PACLIC | Detecting Free Translation in Parallel Corpora from Attention Scores. | Qi Chen, Oi Yee Kwong, Jingbo Zhu |
| 2017 | EMNLP | Towards Bidirectional Hierarchical Representations for Attention-based Neural Machine Translation. | Baosong Yang, Derek F. Wong, Tong Xiao, Lidia S. Chao, Jingbo Zhu |
| 2017 | IJCAI | Fast Parallel Training of Neural Language Models. | Tong Xiao, Jingbo Zhu, Tongran Liu, Chunliang Zhang |
| 2016 | AAAI | Syntactic Skeleton-Based Translation. | Tong Xiao, Jingbo Zhu, Chunliang Zhang, Tongran Liu |
| 2016 | ICDE | Personal recommendation using deep recurrent neural networks in NetEase. | Sai Wu, Weichao Ren, Chengchao Yu, Gang Chen, Dongxiang Zhang, Jingbo Zhu |
| 2015 | ACL | NiuParser: A Chinese Syntactic and Semantic Parsing Toolkit. | Jingbo Zhu, Muhua Zhu, Qiang Wang, Tong Xiao |
| 2014 | ACL | Tagging The Web: Building A Robust Web Tagger with Neural Network. | Ji Ma, Yue Zhang, Jingbo Zhu |
| 2014 | ACL | Punctuation Processing for Projective Dependency Parsing. | Ji Ma, Yue Zhang, Jingbo Zhu |
| 2014 | ACL | A Hybrid Approach to Skeleton-based Translation. | Tong Xiao, Jingbo Zhu, Chunliang Zhang |
| 2014 | COLING | Effective Incorporation of Source Syntax into Hierarchical Phrase-based Translation. | Tong Xiao, Adri de Gispert, Jingbo Zhu, Bill Byrne |
| 2014 | EMNLP | Syntactic SMT Using a Discriminative Text Generation Model. | Yue Zhang, Kai Song, Linfeng Song, Jingbo Zhu, Qun Liu |
| 2013 | ACL | Easy-First POS Tagging and Dependency Parsing with Beam Search. | Ji Ma, Jingbo Zhu, Tong Xiao, Nan Yang |
| 2013 | ACL | Fast and Accurate Shift-Reduce Constituent Parsing. | Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, Jingbo Zhu |
| 2012 | ACL | NiuTrans: An Open Source Toolkit for Phrase-based and Syntax-based Machine Translation. | Tong Xiao, Jingbo Zhu, Hao Zhang, Qiang Li |
| 2012 | ACL | Learning Better Rule Extraction with Translation Span Alignment. | Jingbo Zhu, Tong Xiao, Chunliang Zhang |
| 2012 | COLING | Easy-First Chinese POS Tagging and Dependency Parsing. | Ji Ma, Tong Xiao, Jingbo Zhu, Feiliang Ren |
| 2012 | COLING | Exploiting Lexical Dependencies from Large-Scale Data for Better Shift-Reduce Constituency Parsing. | Muhua Zhu, Jingbo Zhu, Huizhen Wang |
| 2011 | ACL | Improving Decoding Generalization for Tree-to-String Translation. | Jingbo Zhu, Tong Xiao |
| 2011 | ACL | Better Automatic Treebank Conversion Using A Feature-Based Approach. | Muhua Zhu, Jingbo Zhu, Minghan Hu |
| 2010 | ACL | Boosting-Based System Combination for Machine Translation. | Tong Xiao, Jingbo Zhu, Muhua Zhu, Huizhen Wang |
| 2010 | COLING | An Empirical Study of Translation Rule Extraction with Multiple Parsers. | Tong Xiao, Jingbo Zhu, Hao Zhang, Muhua Zhu |
| 2010 | COLING | Automatic Treebank Conversion via Informed Decoding. | Muhua Zhu, Jingbo Zhu |
| 2010 | COLING | Heterogeneous Parsing via Collaborative Decoding. | Muhua Zhu, Jingbo Zhu, Tong Xiao |
| 2009 | CIKM | Multi-aspect opinion polling from textual reviews. | Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Muhua Zhu |
| 2009 | CIKM | Label correspondence learning for part-of-speech annotation transformation. | Muhua Zhu, Huizhen Wang, Jingbo Zhu |
| 2009 | CIKM | Aspect-based sentence segmentation for sentiment summarization. | Jingbo Zhu, Muhua Zhu, Huizhen Wang, Benjamin K. Tsou |
| 2009 | EMNLP | Better Synchronous Binarization for Machine Translation. | Tong Xiao, Mu Li, Dongdong Zhang, Jingbo Zhu, Ming Zhou |
| 2008 | COLING | Multi-Criteria-Based Strategy to Stop Active Learning for Data Annotation. | Jingbo Zhu, Huizhen Wang, Eduard H. Hovy |
| 2008 | COLING | Active Learning with Sampling by Uncertainty and Density for Word Sense Disambiguation and Text Classification. | Jingbo Zhu, Huizhen Wang, Tianshun Yao, Benjamin K. Tsou |
| 2008 | IJCNLP | Towards Automated Semantic Analysis on Biomedical Research Articles. | Donghui Feng, Gully Burns, Jingbo Zhu, Eduard H. Hovy |
| 2008 | IJCNLP | An Effective Hybrid Machine Learning Approach for Coreference Resolution. | Feiliang Ren, Jingbo Zhu |
| 2008 | IJCNLP | Which Performs Better on In-Vocabulary Word Segmentation: Based on Word or Character? | Zhenxing Wang, Changning Huang, Jingbo Zhu |
| 2008 | IJCNLP | The Character-based CRF Segmenter of MSRA&NEU for the 4th Bakeoff. | Zhenxing Wang, Changning Huang, Jingbo Zhu |
| 2008 | IJCNLP | Learning a Stopping Criterion for Active Learning for Word Sense Disambiguation and Text Classification. | Jingbo Zhu, Huizhen Wang, Eduard H. Hovy |
| 2008 | ICPR | A Recommender Handoff Framework for a Mobile Device. | Chuan Zhu, Matthew Y. Ma, Chunguang Tan, Guiran Chang, Jingbo Zhu, Qiaozhe An |
| 2007 | EMNLP | Active Learning for Word Sense Disambiguation with Methods for Addressing the Class Imbalance Problem. | Jingbo Zhu, Eduard H. Hovy |
| 2005 | CICLING | Applying Conditional Random Fields to Chinese Shallow Parsing. | Yongmei Tan, Tianshun Yao, Qing Chen, Jingbo Zhu |
| 2005 | IJCNLP | Using Multiple Discriminant Analysis Approach for Linear Text Segmentation. | Jingbo Zhu, Na Ye, Xingzhi Chang, Wenliang Chen, Benjamin K. Tsou |
| 2005 | NLDB | Improving Text Categorization Using Domain Knowledge. | Jingbo Zhu, Wenliang Chen |
| 2004 | CICLING | Automatic Learning Features Using Bootstrapping for Text Categorization. | Wenliang Chen, Jingbo Zhu, Honglin Wu, Tianshun Yao |
| 2004 | IJCNLP | Chinese Chunk Identification Using SVMs Plus Sigmoid. | Yongmei Tan, Tianshun Yao, Qing Chen, Jingbo Zhu |