Junliang Guo

According to our database, Junliang Guo authored at least 41 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training.

Qingyan Guo, Rui Wang, Junliang Guo, Xu Tan, Jiang Bian, Yujiu Yang

CoRR, 2024

UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing.

Jianhong Bai, Tianyu He, Yuchi Wang, Junliang Guo, Haoji Hu, Zuozhu Liu, Jiang Bian

CoRR, 2024

Bi-directional Adapter for Multimodal Tracking.

Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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 Trans. Pattern Anal. Mach. Intell., October, 2023

Coherent-on-Receive Synthesis Using Dominant Scatterer in Millimeter-Wave Distributed Coherent Aperture Radar.

Can Liang, Yang Li, Xueyao Hu, Yanhua Wang, Liang Zhang, Min Wang, Junliang Guo

Remote. Sens., March, 2023

Bi-directional Adapter for Multi-modal Tracking.

Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu

CoRR, 2023

GAIA: Zero-shot Talking Avatar Generation.

Tianyu He, Junliang Guo, Runyi Yu, Yuchi Wang, Jialiang Zhu, Kaikai An, Leyi Li, Xu Tan, Chunyu Wang, Han Hu, HsiangTao Wu, Sheng Zhao, Jiang Bian

CoRR, 2023

Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers.

Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yujiu Yang

CoRR, 2023

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

CoRR, 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

CoRR, 2023

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

CoRR, 2023

A Study on ReLU and Softmax in Transformer.

Kai Shen, Junliang Guo, Xu Tan, Siliang Tang, Rui Wang, Jiang Bian

CoRR, 2023

N-Gram Nearest Neighbor Machine Translation.

Rui Lv, Junliang Guo, Rui Wang, Xu Tan, Qi Liu, Tao Qin

CoRR, 2023

Extract and Attend: Improving Entity Translation in Neural Machine Translation.

Zixin Zeng, Rui Wang, Yichong Leng, Junliang Guo, Shufang Xie, Xu Tan, Tao Qin, Tie-Yan Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

VideoDubber: 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Retrosynthesis Prediction with Local Template Retrieval.

Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Difformer: Empowering Diffusion Model on Embedding Space for Text Generation.

Zhujin Gao, Junliang Guo, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu

CoRR, 2022

Bridging Music and Text with Crowdsourced Music Comments: A Sequence-to-Sequence Framework for Thematic Music Comments Generation.

Peining Zhang, Junliang Guo, Linli Xu, Mu You, Junming Yin

CoRR, 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 P. Mandic, Lei He, Xiang-Yang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu

CoRR, 2022

Task-Oriented Dialogue System as Natural Language Generation.

Weizhi Wang, Zhirui Zhang, Junliang Guo, Yinpei Dai, Boxing Chen, Weihua Luo

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 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 P. Mandic, Lei He, Xiangyang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Adaptive Adapters: An Efficient Way to Incorporate BERT Into Neural Machine Translation.

Junliang Guo, Zhirui Zhang, Linli Xu, Boxing Chen, Enhong Chen

IEEE ACM Trans. Audio Speech Lang. Process., 2021

A bus passenger re-identification dataset and a deep learning baseline using triplet embedding.

Junliang Guo, Yanbing Xue, Jing Cai, Zan Gao, Guangping Xu, Hua Zhang

Multim. Tools Appl., 2021

Towards Variable-Length Textual Adversarial Attacks.

Junliang Guo, Zhirui Zhang, Linlin Zhang, Linli Xu, Boxing Chen, Enhong Chen, Weihua Luo

CoRR, 2021

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

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Adaptive Nearest Neighbor Machine Translation.

Xin Zheng, Zhirui Zhang, Junliang Guo, Shujian Huang, Boxing Chen, Weihua Luo, Jiajun Chen

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Incorporating BERT into Parallel Sequence Decoding with Adapters.

Junliang Guo, Zhirui Zhang, Linli Xu, Hao-Ran Wei, Boxing Chen, Enhong Chen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Label Incorporated Graph Neural Networks for Text Classification.

Yuan Xint, Linli Xu, Junliang Guo, Jiquan Li, Xin Sheng, Yuanyuan Zhou

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation.

Junliang Guo, Linli Xu, Enhong Chen

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

IntroVNMT: An Introspective Model for Variational Neural Machine Translation.

Xin Sheng, Linli Xu, Junliang Guo, Jingchang Liu, Ruoyu Zhao, Yinlong Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation.

Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

SPINE: Structural Identity Preserved Inductive Network Embedding.

Junliang Guo, Linli Xu, Jingchang Liu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization.

Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input.

Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Asynchronous Stochastic Composition Optimization with Variance Reduction.

Shuheng Shen, Linli Xu, Jingchang Liu, Junliang Guo, Qing Ling

CoRR, 2018

SPINE: Structural Identity Preserved Inductive Network Embedding.

Junliang Guo, Linli Xu, Enhong Chen

CoRR, 2018

Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach.

Xiaoying Ren, Linli Xu, Tianxiang Zhao, Chen Zhu, Junliang Guo, Enhong Chen

Proceedings of the IEEE International Conference on Data Mining, 2018

Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective.

Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen

Proceedings of the Database Systems for Advanced Applications, 2018

2017

Generalized Neural Graph Embedding with Matrix Factorization.

Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen

CoRR, 2017