Junliang Guo

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 58

Top Topics

Matrix Factorization

Machine Translation

Diffusion Models

Top Venues

Publications

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
GAIA: Zero-shot Talking Avatar Generation. ICLR (2024)
Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu
Bi-directional Adapter for Multimodal Tracking. AAAI (2024)
Qingyan Guo, Rui Wang, Junliang Guo, Xu Tan, Jiang Bian, Yujiu Yang
Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training. CoRR (2024)
Zhujin Gao, Junliang Guo, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu
Empowering Diffusion Models on the Embedding Space for Text Generation. NAACL-HLT (2024)
Jianhong Bai, Tianyu He, Yuchi Wang, Junliang Guo, Haoji Hu, Zuozhu Liu, Jiang Bian
UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing. CoRR (2024)
Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yujiu Yang
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers. ICLR (2024)
Runyi Yu, Tianyu He, Ailing Zhang, Yuchi Wang, Junliang Guo, Xu Tan, Chang Liu, Jie Chen, Jiang Bian
Make Your Actor Talk: Generalizable and High-Fidelity Lip Sync with Motion and Appearance Disentanglement. CoRR (2024)
Qingyan Guo, Rui Wang, Junliang Guo, Xu Tan, Jiang Bian, Yujiu Yang
Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training. ACL (Findings) (2024)
Yuchi Wang, Junliang Guo, Jianhong Bai, Runyi Yu, Tianyu He, Xu Tan, Xu Sun, Jiang Bian
InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation. CoRR (2024)
Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian
Video In-context Learning. CoRR (2024)
Bei Li, Rui Wang, Junliang Guo, Kaitao Song, Xu Tan, Hany Hassan, Arul Menezes, Tong Xiao, Jiang Bian, JingBo Zhu
Deliberate then Generate: Enhanced Prompting Framework for Text Generation. CoRR (2023)
Yisheng Xiao, Lijun Wu, Junliang Guo, Juntao Li, Min Zhang, Tao Qin, Tie-Yan Liu
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Zixin Zeng, Rui Wang, Yichong Leng, Junliang Guo, Shufang Xie, Xu Tan, Tao Qin, Tie-Yan Liu
Extract and Attend: Improving Entity Translation in Neural Machine Translation. ACL (Findings) (2023)
Can Liang, Yang Li, Xueyao Hu, Yanhua Wang, Liang Zhang, Min Wang, Junliang Guo
Coherent-on-Receive Synthesis Using Dominant Scatterer in Millimeter-Wave Distributed Coherent Aperture Radar. Remote. Sens. 15 (6) (2023)
Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu
Bi-directional Adapter for Multi-modal Tracking. CoRR (2023)
Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin
Retrosynthesis Prediction with Local Template Retrieval. AAAI (2023)
Rui Lv, Junliang Guo, Rui Wang, Xu Tan, Qi Liu, Tao Qin
N-Gram Nearest Neighbor Machine Translation. CoRR (2023)
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
GAIA: Zero-shot Talking Avatar Generation. CoRR (2023)
Kai Shen, Junliang Guo, Xu Tan, Siliang Tang, Rui Wang, Jiang Bian
A Study on ReLU and Softmax in Transformer. CoRR (2023)
Shufang Xie, Huishuai Zhang, Junliang Guo, Xu Tan, Jiang Bian, Hany Hassan Awadalla, Arul Menezes, Tao Qin, Rui Yan
ResiDual: Transformer with Dual Residual Connections. CoRR (2023)
Zixin Zeng, Rui Wang, Yichong Leng, Junliang Guo, Xu Tan, Tao Qin, Tie-Yan Liu
Extract and Attend: Improving Entity Translation in Neural Machine Translation. CoRR (2023)
Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yujiu Yang
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers. CoRR (2023)
Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin
Retrosynthesis Prediction with Local Template Retrieval. CoRR (2023)
Yihan Wu, Junliang Guo, Xu Tan, Chen Zhang, Bohan Li, Ruihua Song, Lei He, Sheng Zhao, Arul Menezes, Jiang Bian
VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing. AAAI (2023)
Zhujin Gao, Junliang Guo, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu
Difformer: Empowering Diffusion Model on Embedding Space for Text Generation. CoRR (2022)
Peining Zhang, Junliang Guo, Linli Xu, Mu You, Junming Yin
Bridging Music and Text with Crowdsourced Music Comments: A Sequence-to-Sequence Framework for Thematic Music Comments Generation. CoRR (2022)
Weizhi Wang, Zhirui Zhang, Junliang Guo, Yinpei Dai, Boxing Chen, Weihua Luo
Task-Oriented Dialogue System as Natural Language Generation. SIGIR (2022)
Kexun Zhang, Rui Wang, Xu Tan, Junliang Guo, Yi Ren, Tao Qin, Tie-Yan Liu
A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation. CoRR (2022)
Kexun Zhang, Rui Wang, Xu Tan, Junliang Guo, Yi Ren, Tao Qin, Tie-Yan Liu
A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation. NAACL-HLT (2022)
Yihan Wu, Junliang Guo, Xu Tan, Chen Zhang, Bohan Li, Ruihua Song, Lei He, Sheng Zhao, Arul Menezes, Jiang Bian
VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing. CoRR (2022)
Jiquan Li, Junliang Guo, Yongxin Zhu, Xin Sheng, Deqiang Jiang, Bo Ren, Linli Xu
Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation. AAAI (2022)
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
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis. NeurIPS (2022)
Yisheng Xiao, Lijun Wu, Junliang Guo, Juntao Li, Min Zhang, Tao Qin, Tie-Yan Liu
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond. CoRR (2022)
Jiquan Li, Junliang Guo, Yongxin Zhu, Xin Sheng, Deqiang Jiang, Bo Ren, Linli Xu
Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation. CoRR (2022)
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
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis. CoRR (2022)
Junliang Guo, Yanbing Xue, Jing Cai, Zan Gao, Guangping Xu, Hua Zhang
A bus passenger re-identification dataset and a deep learning baseline using triplet embedding. Multim. Tools Appl. 80 (11) (2021)
Junliang Guo, Zhirui Zhang, Linlin Zhang, Linli Xu, Boxing Chen, Enhong Chen, Weihua Luo
Towards Variable-Length Textual Adversarial Attacks. CoRR (2021)
Xin Zheng, Zhirui Zhang, Junliang Guo, Shujian Huang, Boxing Chen, Weihua Luo, Jiajun Chen
Adaptive Nearest Neighbor Machine Translation. CoRR (2021)
Weizhi Wang, Zhirui Zhang, Junliang Guo, Yinpei Dai, Boxing Chen, Weihua Luo
Task-Oriented Dialogue System as Natural Language Generation. CoRR (2021)
Linli Xu, Sijie Teng, Ruoyu Zhao, Junliang Guo, Chi Xiao, Deqiang Jiang, Bo Ren
Hierarchical Multi-label Text Classification with Horizontal and Vertical Category Correlations. EMNLP (1) (2021)
Junliang Guo, Zhirui Zhang, Linli Xu, Boxing Chen, Enhong Chen
Adaptive Adapters: An Efficient Way to Incorporate BERT Into Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Xin Zheng, Zhirui Zhang, Junliang Guo, Shujian Huang, Boxing Chen, Weihua Luo, Jiajun Chen
Adaptive Nearest Neighbor Machine Translation. ACL/IJCNLP (2) (2021)
Xin Sheng, Linli Xu, Junliang Guo, Jingchang Liu, Ruoyu Zhao, Yinlong Xu
IntroVNMT: An Introspective Model for Variational Neural Machine Translation. AAAI (2020)
Junliang Guo, Linli Xu, Enhong Chen
Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation. ACL (2020)
Yuan Xint, Linli Xu, Junliang Guo, Jiquan Li, Xin Sheng, Yuanyuan Zhou
Label Incorporated Graph Neural Networks for Text Classification. ICPR (2020)
Junliang Guo, Zhirui Zhang, Linli Xu, Hao-Ran Wei, Boxing Chen, Enhong Chen
Incorporating BERT into Parallel Sequence Decoding with Adapters. CoRR (2020)
Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. AAAI (2020)
Junliang Guo, Zhirui Zhang, Linli Xu, Hao-Ran Wei, Boxing Chen, Enhong Chen
Incorporating BERT into Parallel Sequence Decoding with Adapters. NeurIPS (2020)
Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. CoRR (2019)
Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng
Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization. AAAI (2019)
Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. AAAI (2019)
Junliang Guo, Linli Xu, Jingchang Liu
SPINE: Structural Identity Preserved Inductive Network Embedding. IJCAI (2019)
Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. CoRR (2018)
Xiaoying Ren, Linli Xu, Tianxiang Zhao, Chen Zhu, Junliang Guo, Enhong Chen
Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach. ICDM (2018)
Shuheng Shen, Linli Xu, Jingchang Liu, Junliang Guo, Qing Ling
Asynchronous Stochastic Composition Optimization with Variance Reduction. CoRR (2018)
Junliang Guo, Linli Xu, Enhong Chen
SPINE: Structural Identity Preserved Inductive Network Embedding. CoRR (2018)
Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen
Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective. DASFAA (1) (2018)
Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen
Generalized Neural Graph Embedding with Matrix Factorization. CoRR (2017)