Guo, Junliang

18 publications

AAAI 2025 InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation Yuchi Wang, Junliang Guo, Jianhong Bai, Runyi Yu, Tianyu He, Xu Tan, Xu Sun, Jiang Bian

CVPR 2025 VidTwin: Video VAE with Decoupled Structure and Dynamics Yuchi Wang, Junliang Guo, Xinyi Xie, Tianyu He, Xu Sun, Jiang Bian

ICLR 2025 Video In-Context Learning: Autoregressive Transformers Are Zero-Shot Video Imitators Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian

AAAI 2024 Bi-Directional Adapter for Multimodal Tracking Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu

NeurIPS 2024 Compositional 3D-Aware Video Generation with LLM Director Hanxin Zhu, Tianyu He, Anni Tang, Junliang Guo, Zhibo Chen, Jiang Bian

ICLR 2024 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

ICLR 2024 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

NeurIPS 2024 Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning Bei Li, Tong Zheng, Rui Wang, Jiahao Liu, Qingyan Guo, Junliang Guo, Xu Tan, Tong Xiao, Jingbo Zhu, Jingang Wang, Xunliang Cai

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

AAAI 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

NeurIPS 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

AAAI 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

AAAI 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

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

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

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

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

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