Publications

(*=Equal Contribution)

2023:

Deliberate then Generate: Enhanced Prompting Framework for Text Generation
Bei Li*, Rui Wang*, Junliang Guo*, Kaitao Song, Xu Tan, Hany Hassan, Arul Menezes, Tong Xiao, Jiang Bian, JingBo Zhu
Preprint [paper]

ResiDual: Transformer with Dual Residual Connections
Shufang Xie, Huishuai Zhang, Junliang Guo, Xu Tan, Jiang Bian, Hany Hassan Awadalla, Arul Menezes, Tao Qin, Rui Yan
Preprint [paper] [code]

A Study on ReLU and Softmax in Transformer
Kai Shen*, Junliang Guo*, Xu Tan, Siliang Tang, Rui Wang, Jiang Bian
Preprint [paper]

Difformer: Empowering diffusion model on embedding space for text generation
Zhujin Gao*, Junliang Guo*, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu
Preprint [paper] [code]

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond
Yisheng Xiao*, Lijun Wu*, Junliang Guo, Juntao Li, Min Zhang, Tao Qin, Tie-yan Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence [paper] [code]

N-Gram Nearest Neighbor Machine Translation
Rui Lv*, Junliang Guo*, Rui Wang, Xu Tan, Qi Liu, Tao Qin
Preprint [paper]

Extract and Attend: Improving Entity Translation in Neural Machine Translation
Zixin Zeng, Rui Wang, Yichong Leng, Junliang Guo, Xu Tan, Tao Qin, Tie-Yan Liu
ACL 2023 [paper]

Machine Translation with Speech-Aware Length Control for Video Dubbing
Yihan Wu, Junliang Guo, Xu Tan, Chen Zhang, Bohan Li, Ruihua Song, Lei He, Sheng Zhao, Arul Menezes, Jiang Bian
AAAI 2023 [paper]

Retrosynthesis Prediction with Local Template Retrieval
Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin
AAAI 2023 [paper]

2022:

BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis
Yichong Leng*, Zehua Chen*, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo Mandic, Lei He, Xiangyang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu
NeurIPS 2022 [paper] [code]

A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation
Kexun Zhang, Rui Wang, Xu Tan, Junliang Guo, Yi Ren, Tao Qin, Tie-Yan Liu
NAACL 2022 [paper]

Task-Oriented Dialogue System as Natural Language Generation
Weizhi Wang, Zhirui Zhang, Junliang Guo, Yinpei Dai, Boxing Chen, Weihua Luo
SIGIR 2022 [paper]

Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation
Jiquan Li, Junliang Guo, Yongxin Zhu, Xin Sheng, Deqiang Jiang, Bo Ren, Linli Xu
AAAI 2022 [paper]

2021 and before:

Hierarchical Multi-label Text Classification with Horizontal and Vertical Category Correlations
Linli Xu, Sijie Teng, Ruoyu Zhao, Junliang Guo, Chi Xiao, Deqiang Jiang, Bo Ren
EMNLP 2021 [paper]

Adaptive Nearest Neighbor Machine Translation
Xin Zheng, Zhirui Zhang, Junliang Guo, Shujian Huang, Boxing Chen, Weihua Luo, Jiajun Chen
ACL 2021 [paper] [code]

Adaptive Adapter: an Efficient Way to Incorporate BERT into Neural Machine Translation
Junliang Guo, Zhirui Zhang, Linli Xu, Boxing Chen, Enhong Chen
IEEE Transactions on Audio, Speech and Language Processing [paper]

Label Incorporated Graph Neural Networks for Text Classification
Yuan Xin, Linli Xu, Junliang Guo, Jiquan Li, Xin Sheng, Yuanyuan Zhou
ICPR 2020 [paper]

Incorporating BERT into Parallel Sequence Decoding with Adapters
Junliang Guo, Zhirui Zhang, Linli Xu, Hao-Ran Wei, Boxing Chen, Enhong Chen
NeurIPS 2020 [paper] [code]

Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation
Junliang Guo, Linli Xu, Enhong Chen
ACL 2020 [paper] [code]

Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation
Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu
AAAI 2020 [paper] [code]

IntroVNMT: An Introspective Model for Variational Neural Machine Translation
Xin Sheng, Linli Xu, Junliang Guo, Jingchang Liu, Ruoyu Zhao, Yinlong Xu
AAAI 2020 [paper]

SPINE: Structural Identity Preserved Inductive Network Embedding
Junliang Guo, Linli Xu, Jingchang Liu
IJCAI 2019 [paper] [code]

Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input
Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu
AAAI 2019 [paper]

Adaptive Proximal Average based Variance Reducing Stochastic Methods for Optimization with Composite Regularization
Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng
AAAI 2019 [paper]

Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach
Xiaoying Ren, Linli Xu, Tianxiang Zhao, Chen Zhu, Junliang Guo, Enhong Chen
ICDM 2018 [paper]

Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective
Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen
DASFAA 2018 [paper]

Asynchronous Stochastic Composition Optimization with Variance Reduction
Shuheng Shen, Linli Xu, Jingchang Liu, Junliang Guo, Qing Ling
Preprint [paper]