Publications
(*=Equal Contribution)
2025:
Playing with Transformer at 30+ FPS via Next-Frame Diffusion
Xinle Cheng, Tianyu He, Jiayi Xu, Junliang Guo, Di He, Jiang Bian
Preprint [paper] [demo]
MineWorld: a Real-Time and Open-Source Interactive World Model on Minecraft
Junliang Guo*, Yang Ye*, Tianyu He*, Haoyu Wu*, Yushu Jiang, Tim Pearce, Jiang Bian
Preprint [paper] [code] [model]
Fast Autoregressive Video Generation with Diagonal Decoding
Yang Ye*, Junliang Guo*, Haoyu Wu*, Tianyu He, Tim Pearce, Tabish Rashid, Katja Hofmann, Jiang Bian
Preprint [paper] [demo]
VidTwin: Video VAE with Decoupled Structure and Dynamics
Yuchi Wang, Junliang Guo, Xinyi Xie, Tianyu He, Xu Sun, Jiang Bian
CVPR 2025 [paper] [code]
Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators
Wentao Zhang*, Junliang Guo*, Tianyu He, Li Zhao, Linli Xu, Jiang Bian
ICLR 2025 [paper] [demo]
2024:
VidTok: A Versatile and Open-Source Video Tokenizer
Anni Tang, Tianyu He, Junliang Guo, Xinle Cheng, Li Song, Jiang Bian
Preprint [paper] [code]
IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Xiaoyu Chen*, Junliang Guo*, Tianyu He*, Chuheng Zhang*, Pushi Zhang, Derek Cathera Yang, Li Zhao, Jiang Bian
Preprint [paper] [demo]
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
Preprint [paper] [code]
Compositional 3D-aware Video Generation with LLM Director
Hanxin Zhu, Tianyu He, Anni Tang, Junliang Guo, Zhibo Chen, Jiang Bian
NeurIPS 2024 [paper] [demo]
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
NeurIPS 2024 [paper]
Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training
Qingyan Guo, Rui Wang, Junliang Guo, Xu Tan, Jiang Bian, Yujiu Yang
ACL 2024 Findings [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
NAACL 2024 [paper] [code]
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
ICLR 2024 [paper]
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 [paper] [code]
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]
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
IEEE Transactions on Audio, Speech and Language Processing [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]