| 2025 | AAAI | 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 |
| 2025 | CVPR | VidTwin: Video VAE with Decoupled Structure and Dynamics. | Yuchi Wang, Junliang Guo, Xinyi Xie, Tianyu He, Xu Sun, Jiang Bian |
| 2025 | ICLR | Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators. | Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian |
| 2024 | AAAI | Bi-directional Adapter for Multimodal Tracking. | Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu |
| 2024 | ACL | Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training. | Qingyan Guo, Rui Wang, Junliang Guo, Xu Tan, Jiang Bian, Yujiu Yang |
| 2024 | ICANN | Summarizing Like Human: Edit-Based Text Summarization with Keywords. | Yukang Liang, Junliang Guo, Yongxin Zhu, Linli Xu |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | NAACL | Empowering Diffusion Models on the Embedding Space for Text Generation. | Zhujin Gao, Junliang Guo, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu |
| 2023 | AAAI | Retrosynthesis Prediction with Local Template Retrieval. | Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin |
| 2023 | AAAI | 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 |
| 2023 | ACL | 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 |
| 2022 | AAAI | 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 |
| 2022 | NAACL | 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 |
| 2022 | SIGIR | Task-Oriented Dialogue System as Natural Language Generation. | Weizhi Wang, Zhirui Zhang, Junliang Guo, Yinpei Dai, Boxing Chen, Weihua Luo |
| 2021 | ACL | Adaptive Nearest Neighbor Machine Translation. | Xin Zheng, Zhirui Zhang, Junliang Guo, Shujian Huang, Boxing Chen, Weihua Luo, Jiajun Chen |
| 2021 | EMNLP | 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 |
| 2020 | AAAI | Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. | Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu |
| 2020 | AAAI | IntroVNMT: An Introspective Model for Variational Neural Machine Translation. | Xin Sheng, Linli Xu, Junliang Guo, Jingchang Liu, Ruoyu Zhao, Yinlong Xu |
| 2020 | ACL | Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation. | Junliang Guo, Linli Xu, Enhong Chen |
| 2020 | ICPR | Label Incorporated Graph Neural Networks for Text Classification. | Yuan Xint, Linli Xu, Junliang Guo, Jiquan Li, Xin Sheng, Yuanyuan Zhou |
| 2019 | AAAI | Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. | Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu |
| 2019 | AAAI | Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization. | Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng |
| 2019 | IJCAI | SPINE: Structural Identity Preserved Inductive Network Embedding. | Junliang Guo, Linli Xu, Jingchang Liu |
| 2018 | DASFAA | Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective. | Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen |
| 2018 | ICDM | Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach. | Xiaoying Ren, Linli Xu, Tianxiang Zhao, Chen Zhu, Junliang Guo, Enhong Chen |