Adjustment of systematic microarray data biases. - Mónica Benito; Joel S. Parker; Quan Du; Junyuan Wu; Dong Xiang; Charles M. Perou; James Stephen Marron (Bioinform., 2004)

A Human-Specific De Novo Protein-Coding Gene Associated with Human Brain Functions. - Chuan-Yun Li; Yong Zhang; Zhanbo Wang; Yan Zhang; Chunmei Cao; Ping-Wu Zhang; Shu-Juan Lu; Xiao-Mo Li; Quan Yu; Xiaofeng Zheng; Quan Du; George R. Uhl; et al. (PLoS Comput. Biol., 2010)

Improved harmony search algorithms by tournament selection operator. - Gang Li; Qingzhong Wang; Quan Du (CEC, 2015)

Handling Many-To-One UNK Translation for Neural Machine Translation. - Fuxue Li; Quan Du; Qiang Wang 050; Tong Xiao; Jingbo Zhu (CWMT, 2017)

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 (COLING, 2020)

Shallow-to-Deep Training for Neural Machine Translation. - Bei Li; Ziyang Wang; Hui Liu; Yufan Jiang; Quan Du; Tong Xiao; Huizhen Wang; Jingbo Zhu (EMNLP (1), 2020)

Learning Light-Weight Translation Models from Deep Transformer. - Bei Li; Ziyang Wang; Hui Liu; Quan Du; Tong Xiao; Chunliang Zhang; Jingbo Zhu (AAAI, 2021)

Weight Distillation: Transferring the Knowledge in Neural Network Parameters. - Ye Lin; Yanyang Li; Ziyang Wang; Bei Li; Quan Du; Tong Xiao; Jingbo Zhu (ACL/IJCNLP (1), 2021)

Topology-Sensitive Neural Architecture Search for Language Modeling. - Quan Du; Nuo Xu; Yinqiao Li; Tong Xiao; Jingbo Zhu (IEEE Access, 2021)

ODE Transformer: An Ordinary Differential Equation-Inspired Model for Neural Machine Translation. - Bei Li; Quan Du; Tao Zhou; Shuhan Zhou; Xin Zeng; Tong Xiao; Jingbo Zhu (CoRR, 2021)

Non-autoregressive neural machine translation with auxiliary representation fusion. - Quan Du; Kai Feng; Chen Xu 008; Tong Xiao; Jingbo Zhu (J. Intell. Fuzzy Syst., 2021)

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 002; Min Zhang 005 (ACL (1), 2022)

Learning Evaluation Models from Large Language Models for Sequence Generation. - Chenglong Wang 002; Hang Zhou; Kaiyan Chang; Tongran Liu; Chunliang Zhang; Quan Du; Tong Xiao; Jingbo Zhu (CoRR, 2023)

RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data. - Chenglong Wang 002; Yang Gan; Yifu Huo; Yongyu Mu; Murun Yang; Qiaozhi He; Tong Xiao; Chunliang Zhang; Tongran Liu; Quan Du; Di Yang; Jingbo Zhu (CoRR, 2024)