Should Tractors' Ergonomic Evaluation Index System in Different Life Cycle Stage be Different? A Delphi Survey Conducted in China. - Bianbian Qiu; Jiping Zhou; Zaixiang Zheng; Hui Shen (AHFE (4), 2017)

A User Satisfaction Survey for Chinese Tractors Based on Attitude Index of Product Attributes. - Bianbian Qiu; Jiping Zhou; Zaixiang Zheng; Hui Shen (AHFE (23), 2017)

Neural Machine Translation with Word Predictions. - Rongxiang Weng; Shujian Huang; Zaixiang Zheng; Xin-Yu Dai; Jiajun Chen 001 (EMNLP, 2017)

Learning to Discriminate Noises for Incorporating External Information in Neural Machine Translation. - Zaixiang Zheng; Shujian Huang; Zewei Sun; Rongxiang Weng; Xin-Yu Dai; Jiajun Chen 001 (CoRR, 2018)

Modeling Past and Future for Neural Machine Translation. - Zaixiang Zheng; Hao Zhou 012; Shujian Huang; Lili Mou; Xinyu Dai; Jiajun Chen 001; Zhaopeng Tu (Trans. Assoc. Comput. Linguistics, 2018)

Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering. - Peng Wu; Shujian Huang; Rongxiang Weng; Zaixiang Zheng; Jianbing Zhang; Xiaohui Yan; Jiajun Chen 001 (ACL (1), 2019)

Dynamic Past and Future for Neural Machine Translation. - Zaixiang Zheng; Shujian Huang; Zhaopeng Tu; Xin-Yu Dai; Jiajun Chen 001 (EMNLP/IJCNLP (1), 2019)

Multi-Perspective Inferrer: Reasoning Sentences Relationship from Holistic Perspective. - Zhen Cheng; Zaixiang Zheng; Xin-Yu Dai; Shujian Huang; Jiajun Chen 001 (CoRR, 2019)

RPD: A Distance Function Between Word Embeddings. - Xuhui Zhou; Shujian Huang; Zaixiang Zheng (ACL (student), 2020)

Mirror-Generative Neural Machine Translation. - Zaixiang Zheng; Hao Zhou 012; Shujian Huang; Lei Li 005; Xin-Yu Dai; Jiajun Chen 001 (ICLR, 2020)

Towards Making the Most of Context in Neural Machine Translation. - Zaixiang Zheng; Xiang Yue; Shujian Huang; Jiajun Chen 001; Alexandra Birch (IJCAI, 2020)

Toward Making the Most of Context in Neural Machine Translation. - Zaixiang Zheng; Xiang Yue; Shujian Huang; Jiajun Chen 001; Alexandra Birch (CoRR, 2020)

VOLT: Improving Vocabularization via Optimal Transport for Machine Translation. - Jingjing Xu 001; Hao Zhou 012; Chun Gan; Zaixiang Zheng; Lei Li 005 (CoRR, 2020)

Improving Self-Attention Networks With Sequential Relations. - Zaixiang Zheng; Shujian Huang; Rongxiang Weng; Xin-Yu Dai; Jiajun Chen 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

DirectQE: Direct Pretraining for Machine Translation Quality Estimation. - Qu Cui; Shujian Huang; Jiahuan Li; Xiang Geng; Zaixiang Zheng; Guoping Huang; Jiajun Chen 001 (AAAI, 2021)

Vocabulary Learning via Optimal Transport for Neural Machine Translation. - Jingjing Xu 001; Hao Zhou 012; Chun Gan; Zaixiang Zheng; Lei Li 005 (ACL/IJCNLP (1), 2021)

Duplex Sequence-to-Sequence Learning for Reversible Machine Translation. - Zaixiang Zheng; Hao Zhou 012; Shujian Huang; Jiajun Chen 001; Jingjing Xu 001; Lei Li 005 (NeurIPS, 2021)

The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21. - Lihua Qian; Yi Zhou 018; Zaixiang Zheng; Yaoming Zhu; Zehui Lin; Jiangtao Feng; Shanbo Cheng; Lei Li 005; Mingxuan Wang; Hao Zhou 012 (WMT@EMNLP, 2021)

Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive Translators. - Xinyou Wang; Zaixiang Zheng; Shujian Huang (EMNLP, 2022)

Deep Equilibrium Non-Autoregressive Sequence Learning. - Zaixiang Zheng; Yi Zhou 018; Hao Zhou 012 (ACL (Findings), 2023)

Structure-informed Language Models Are Protein Designers. - Zaixiang Zheng; Yifan Deng; Dongyu Xue; Yi Zhou 018; Fei Ye; Quanquan Gu (ICML, 2023)

Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation. - Chenyang Huang 001; Fei Huang 005; Zaixiang Zheng; Osmar Zaïane; Hao Zhou 012; Lili Mou (IJCNLP (Findings), 2023)

DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises. - Jiasheng Ye; Zaixiang Zheng; Yu Bao; Lihua Qian; Mingxuan Wang (CoRR, 2023)

Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning. - Jiasheng Ye; Zaixiang Zheng; Yu Bao; Lihua Qian; Quanquan Gu (CoRR, 2023)

Diffusion Language Models Are Versatile Protein Learners. - Xinyou Wang; Zaixiang Zheng; Fei Ye; Dongyu Xue; Shujian Huang; Quanquan Gu (ICML, 2024)

Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization. - Xiangxin Zhou; Dongyu Xue; Ruizhe Chen; Zaixiang Zheng; Liang Wang 001; Quanquan Gu (NeurIPS, 2024)

ProteinWeaver: A Divide-and-Assembly Approach for Protein Backbone Design. - Yiming Ma; Fei Ye; Yi Zhou 018; Zaixiang Zheng; Dongyu Xue; Quanquan Gu (CoRR, 2024)

DPLM-2: A Multimodal Diffusion Protein Language Model. - Xinyou Wang; Zaixiang Zheng; Fei Ye; Dongyu Xue; Shujian Huang; Quanquan Gu (ICLR, 2025)

ProteinBench: A Holistic Evaluation of Protein Foundation Models. - Fei Ye; Zaixiang Zheng; Dongyu Xue; Yuning Shen; Lihao Wang; Yiming Ma; Yan Wang; Xinyou Wang; Xiangxin Zhou; Quanquan Gu (ICLR, 2025)

Elucidating the Design Space of Multimodal Protein Language Models. - Cheng-Yen Hsieh; Xinyou Wang; Daiheng Zhang; Dongyu Xue; Fei Ye; Shujian Huang; Zaixiang Zheng; Quanquan Gu (CoRR, 2025)

An All-Atom Generative Model for Designing Protein Complexes. - Ruizhe Chen; Dongyu Xue; Xiangxin Zhou; Zaixiang Zheng; Xiangxiang Zeng; Quanquan Gu (CoRR, 2025)

Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling. - Xiangxin Zhou; Mingyu Li; Yi Xiao; Jiahan Li; Dongyu Xue; Zaixiang Zheng; Jianzhu Ma; Quanquan Gu (CoRR, 2025)