Generalized Neural Graph Embedding with Matrix Factorization. - Junliang Guo; Linli Xu; Xunpeng Huang; Enhong Chen (CoRR, 2017)

Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective. - Junliang Guo; Linli Xu; Xunpeng Huang; Enhong Chen (DASFAA (1), 2018)

Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach. - Xiaoying Ren; Linli Xu; Tianxiang Zhao 006; Chen Zhu 003; Junliang Guo; Enhong Chen (ICDM, 2018)

SPINE: Structural Identity Preserved Inductive Network Embedding. - Junliang Guo; Linli Xu; Jingchang Chen (CoRR, 2018)

Asynchronous Stochastic Composition Optimization with Variance Reduction. - Shuheng Shen; Linli Xu; Jingchang Liu; Junliang Guo; Qing Ling (CoRR, 2018)

Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. - Junliang Guo; Xu Tan 003; Di He 001; Tao Qin 001; Linli Xu; Tie-Yan Liu (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)

SPINE: Structural Identity Preserved Inductive Network Embedding. - Junliang Guo; Linli Xu; Jingchang Liu (IJCAI, 2019)

Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. - Junliang Guo; Xu Tan 003; Linli Xu; Tao Qin 001; Enhong Chen; Tie-Yan Liu (AAAI, 2020)

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

Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation. - Junliang Guo; Linli Xu; Enhong Chen (ACL, 2020)

Label Incorporated Graph Neural Networks for Text Classification. - Yuan Xint; Linli Xu; Junliang Guo; Jiquan Li; Xin Sheng; Yuanyuan Zhou (ICPR, 2020)

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

Adaptive Nearest Neighbor Machine Translation. - Xin Zheng; Zhirui Zhang; Junliang Guo; Shujian Huang; Boxing Chen; Weihua Luo; Jiajun Chen 001 (ACL/IJCNLP (2), 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 002 (EMNLP (1), 2021)

Towards Variable-Length Textual Adversarial Attacks. - Junliang Guo; Zhirui Zhang; Linlin Zhang; Linli Xu; Boxing Chen; Enhong Chen; Weihua Luo (CoRR, 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 003 (Multim. Tools Appl., 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)

Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation. - Jiquan Li; Junliang Guo; Yongxin Zhu 003; Xin Sheng; Deqiang Jiang; Bo Ren 002; Linli Xu (AAAI, 2022)

A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation. - Kexun Zhang; Rui Wang 028; Xu Tan 003; Junliang Guo; Yi Ren 006; Tao Qin 001; Tie-Yan Liu (NAACL-HLT, 2022)

BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis. - Yichong Leng; Zehua Chen; Junliang Guo; Haohe Liu; Jiawei Chen 008; Xu Tan 003; Danilo P. Mandic; Lei He 005; Xiangyang Li 001; Tao Qin 001; Sheng Zhao; Tie-Yan Liu (NeurIPS, 2022)

Task-Oriented Dialogue System as Natural Language Generation. - Weizhi Wang; Zhirui Zhang; Junliang Guo; Yinpei Dai; Boxing Chen; Weihua Luo (SIGIR, 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)

Difformer: Empowering Diffusion Model on Embedding Space for Text Generation. - Zhujin Gao; Junliang Guo; Xu Tan 003; Yongxin Zhu 003; Fang Zhang; Jiang Bian 002; Linli Xu (CoRR, 2022)

Retrosynthesis Prediction with Local Template Retrieval. - Shufang Xie 003; Rui Yan 001; Junliang Guo; Yingce Xia; Lijun Wu 003; Tao Qin 001 (AAAI, 2023)

VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing. - Yihan Wu; Junliang Guo; Xu Tan 003; Chen Zhang 020; Bohan Li 003; Ruihua Song; Lei He 005; Sheng Zhao; Arul Menezes; Jiang Bian 002 (AAAI, 2023)

Extract and Attend: Improving Entity Translation in Neural Machine Translation. - Zixin Zeng; Rui Wang 028; Yichong Leng; Junliang Guo; Shufang Xie 003; Xu Tan 003; Tao Qin 001; Tie-Yan Liu (ACL (Findings), 2023)

N-Gram Nearest Neighbor Machine Translation. - Rui Lv; Junliang Guo; Rui Wang 028; Xu Tan 003; Qi Liu; Tao Qin 001 (CoRR, 2023)

A Study on ReLU and Softmax in Transformer. - Kai Shen; Junliang Guo; Xu Tan 003; Siliang Tang; Rui Wang 028; Jiang Bian 002 (CoRR, 2023)

ResiDual: Transformer with Dual Residual Connections. - Shufang Xie 003; Huishuai Zhang; Junliang Guo; Xu Tan 003; Jiang Bian 002; Hany Hassan Awadalla; Arul Menezes; Tao Qin 001; Rui Yan 001 (CoRR, 2023)

Deliberate then Generate: Enhanced Prompting Framework for Text Generation. - Bei Li; Rui Wang 028; Junliang Guo; Kaitao Song; Xu Tan 003; Hany Hassan; Arul Menezes; Tong Xiao; Jiang Bian 002; JingBo Zhu (CoRR, 2023)

Extract and Attend: Improving Entity Translation in Neural Machine Translation. - Zixin Zeng; Rui Wang 028; Yichong Leng; Junliang Guo; Xu Tan 003; Tao Qin 001; Tie-Yan Liu (CoRR, 2023)

Bi-directional Adapter for Multi-modal Tracking. - Bing Cao 002; Junliang Guo; Pengfei Zhu 001; Qinghua Hu (CoRR, 2023)

Coherent-on-Receive Synthesis Using Dominant Scatterer in Millimeter-Wave Distributed Coherent Aperture Radar. - Can Liang; Yang Li 048; Xueyao Hu; Yanhua Wang; Liang Zhang 035; Min Wang; Junliang Guo (Remote. Sens., 2023)

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond. - Yisheng Xiao; Lijun Wu 003; Junliang Guo; Juntao Li; Min Zhang 005; Tao Qin 001; Tie-Yan Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Bi-directional Adapter for Multimodal Tracking. - Bing Cao 002; Junliang Guo; Pengfei Zhu 001; Qinghua Hu (AAAI, 2024)

Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training. - Qingyan Guo; Rui Wang 028; Junliang Guo; Xu Tan 003; Jiang Bian 002; Yujiu Yang (ACL (Findings), 2024)

Summarizing Like Human: Edit-Based Text Summarization with Keywords. - Yukang Liang; Junliang Guo; Yongxin Zhu 003; Linli Xu (ICANN (7), 2024)

Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers. - Qingyan Guo; Rui Wang 028; Junliang Guo; Bei Li; Kaitao Song; Xu Tan 003; Guoqing Liu; Jiang Bian 002; Yujiu Yang (ICLR, 2024)

GAIA: Zero-shot Talking Avatar Generation. - Tianyu He; Junliang Guo; Runyi Yu 002; Yuchi Wang; Jialiang Zhu; Kaikai An; Leyi Li; Xu Tan 003; Chunyu Wang 001; Han Hu 001; HsiangTao Wu; Sheng Zhao; et al. (ICLR, 2024)

Empowering Diffusion Models on the Embedding Space for Text Generation. - Zhujin Gao; Junliang Guo; Xu Tan 003; Yongxin Zhu 003; Fang Zhang; Jiang Bian 002; Linli Xu (NAACL-HLT, 2024)

Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning. - Bei Li; Tong Zheng; Rui Wang 028; Jiahao Liu; Qingyan Guo; Junliang Guo; Xu Tan 003; Tong Xiao; Jingbo Zhu; Jingang Wang; Xunliang Cai (NeurIPS, 2024)

Compositional 3D-aware Video Generation with LLM Director. - Hanxin Zhu; Tianyu He; Anni Tang; Junliang Guo; Zhibo Chen 001; Jiang Bian 002 (NeurIPS, 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 002 (CoRR, 2024)

Make Your Actor Talk: Generalizable and High-Fidelity Lip Sync with Motion and Appearance Disentanglement. - Runyi Yu 002; Tianyu He; Ailing Zhang; Yuchi Wang; Junliang Guo; Xu Tan 003; Chang Liu 030; Jie Chen 001; Jiang Bian 002 (CoRR, 2024)

Video In-context Learning. - Wentao Zhang; Junliang Guo; Tianyu He; Li Zhao 007; Linli Xu; Jiang Bian 002 (CoRR, 2024)

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 Yang; Li Zhao 007; Jiang Bian 002 (CoRR, 2024)

VidTok: A Versatile and Open-Source Video Tokenizer. - Anni Tang; Tianyu He; Junliang Guo; Xinle Cheng; Li Song 001; Jiang Bian 002 (CoRR, 2024)

InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation. - Yuchi Wang; Junliang Guo; Jianhong Bai; Runyi Yu 002; Tianyu He; Xu Tan 003; Xu Sun 001; Jiang Bian 002 (AAAI, 2025)

VidTwin: Video VAE with Decoupled Structure and Dynamics. - Yuchi Wang; Junliang Guo; Xinyi Xie; Tianyu He; Xu Sun 001; Jiang Bian 002 (CVPR, 2025)

Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators. - Wentao Zhang; Junliang Guo; Tianyu He; Li Zhao 007; Linli Xu; Jiang Bian 002 (ICLR, 2025)

AR4D: Autoregressive 4D Generation from Monocular Videos. - Hanxin Zhu; Tianyu He; Xiqian Yu; Junliang Guo; Zhibo Chen 001; Jiang Bian 002 (CoRR, 2025)

Fast Autoregressive Video Generation with Diagonal Decoding. - Yang Ye; Junliang Guo; Haoyu Wu; Tianyu He; Tim Pearce; Tabish Rashid; Katja Hofmann; Jiang Bian 002 (CoRR, 2025)

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 002 (CoRR, 2025)

Playing with Transformer at 30+ FPS via Next-Frame Diffusion. - Xinle Cheng; Tianyu He; Jiayi Xu; Junliang Guo; Di He 001; Jiang Bian 002 (CoRR, 2025)

Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling. - Haoyu Wu; Diankun Wu; Tianyu He; Junliang Guo; Yang Ye; Yueqi Duan; Jiang Bian 002 (CoRR, 2025)