Jiatao Gu

175 papers A* 34A 6B 3Journal 106Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge.
CoRR
Yao Tang, Li Dong, Yaru Hao, Qingxiu Dong, Furu Wei, Jiatao Gu
2026 J jnl
OmniGuide: Universal Guidance Fields for Enhancing Generalist Robot Policies.
CoRR
Yunzhou Song, Long Le, Yong-Hyun Park, Jie Wang, Junyao Shi, Lingjie Liu, Jiatao Gu, Eric Eaton, Dinesh Jayaraman, Kostas Daniilidis
2026 J jnl
Pretrained Multilingual Transformers Reveal Quantitative Distance Between Human Languages.
CoRR
Yue Zhao, Jiatao Gu, Paloma Jeretic, Weijie Su
2026 J jnl
The Coupling Within: Flow Matching via Distilled Normalizing Flows.
CoRR
David Berthelot, Tianrong Chen, Jiatao Gu, Marco Cuturi, Laurent Dinh, Bhavik Chandna, Michal Klein, Joshua M. Susskind, Shuangfei Zhai
2025 J jnl
Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling.
CoRR
Huangjie Zheng, Shansan Gong, Ruixiang Zhang, Tianrong Chen, Jiatao Gu, Mingyuan Zhou, Navdeep Jaitly, Yizhe Zhang
2025 A* conf
Denoising Autoregressive Transformers for Scalable Text-to-Image Generation.
ICLR
Jiatao Gu, Yuyang Wang, Yizhe Zhang, Qihang Zhang, Dinghuai Zhang, Navdeep Jaitly, Joshua M. Susskind, Shuangfei Zhai
2025 J jnl
DenseAnnotate: Enabling Scalable Dense Caption Collection for Images and 3D Scenes via Spoken Descriptions.
CoRR
Xiaoyu Lin, Aniket Ghorpade, Hansheng Zhu, Justin Qiu, Dea Rrozhani, Monica Lama, Mick Yang, Zixuan Bian, Ruohan Ren, Alan B. Hong, Jiatao Gu, Chris Callison-Burch
2025 J jnl
DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation.
CoRR
Shansan Gong, Ruixiang Zhang, Huangjie Zheng, Jiatao Gu, Navdeep Jaitly, Lingpeng Kong, Yizhe Zhang
2025 J jnl
Diffusion Models for 3D Generation: A Survey.
Comput. Vis. Media
Chen Wang, Hao-Yang Peng, Ying-Tian Liu, Jiatao Gu, Shi-Min Hu
2025 J jnl
Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows.
CoRR
Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu, Yizhe Zhang, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Joshua M. Susskind, Navdeep Jaitly
2025 J jnl
GECO : Fast Generative Image-to-3D Within One SECOnd.
IEEE Trans. Vis. Comput. Graph.
Chen Wang, Jiatao Gu, Xiaoxiao Long, Yuan Liu, Lingjie Liu
2025 J jnl
Improving GFlowNets for Text-to-Image Diffusion Alignment.
Trans. Mach. Learn. Res.
Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Joshua M. Susskind, Navdeep Jaitly, Shuangfei Zhai
2025 A* conf
Normalizing Flows are Capable Generative Models.
ICML
Shuangfei Zhai, Ruixiang Zhang, Preetum Nakkiran, David Berthelot, Jiatao Gu, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Navdeep Jaitly, Joshua M. Susskind
2025 J jnl
One Layer Is Enough: Adapting Pretrained Visual Encoders for Image Generation.
CoRR
Yuan Gao, Chen Chen, Tianrong Chen, Jiatao Gu
2025 J jnl
PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation.
CoRR
Chen Wang, Chuhao Chen, Yiming Huang, Zhiyang Dou, Yuan Liu, Jiatao Gu, Lingjie Liu
2025 A* conf
PhysHMR: Learning Humanoid Control Policies from Vision for Physically Plausible Human Motion Reconstruction.
SIGGRAPH Asia
Qiao Feng, Yiming Huang, Yufu Wang, Jiatao Gu, Lingjie Liu
2025 J jnl
PhysHMR: Learning Humanoid Control Policies from Vision for Physically Plausible Human Motion Reconstruction.
CoRR
Qiao Feng, Yiming Huang, Yufu Wang, Jiatao Gu, Lingjie Liu
2025 J jnl
ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation.
CoRR
Yongyuan Liang, Wei Chow, Feng Li, Ziqiao Ma, Xiyao Wang, Jiageng Mao, Jiuhai Chen, Jiatao Gu, Yue Wang, Furong Huang
2025 J jnl
Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions.
CoRR
Yizhe Zhang, Richard He Bai, Zijin Gu, Ruixiang Zhang, Jiatao Gu, Emmanuel Abbe, Samy Bengio, Navdeep Jaitly
2025 J jnl
STARFlow-V: End-to-End Video Generative Modeling with Normalizing Flows.
CoRR
Jiatao Gu, Ying Shen, Tianrong Chen, Laurent Dinh, Yuyang Wang, Miguel Ángel Bautista, David Berthelot, Joshua M. Susskind, Shuangfei Zhai
2025 J jnl
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis.
CoRR
Jiatao Gu, Tianrong Chen, David Berthelot, Huangjie Zheng, Yuyang Wang, Ruixiang Zhang, Laurent Dinh, Miguel Ángel Bautista, Josh M. Susskind, Shuangfei Zhai
2025 J jnl
TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics.
CoRR
Tianrong Chen, Huangjie Zheng, David Berthelot, Jiatao Gu, Josh M. Susskind, Shuangfei Zhai
2025 A* conf
Vid2Sim: Generalizable, Video-based Reconstruction of Appearance, Geometry and Physics for Mesh-free Simulation.
CVPR
Chuhao Chen, Zhiyang Dou, Chen Wang, Yiming Huang, Anjun Chen, Qiao Feng, Jiatao Gu, Lingjie Liu
2025 J jnl
Vid2Sim: Generalizable, Video-based Reconstruction of Appearance, Geometry and Physics for Mesh-free Simulation.
CoRR
Chuhao Chen, Zhiyang Dou, Chen Wang, Yiming Huang, Anjun Chen, Qiao Feng, Jiatao Gu, Lingjie Liu
2025 A* conf
World-consistent Video Diffusion with Explicit 3D Modeling.
CVPR
Qihang Zhang, Shuangfei Zhai, Miguel Ángel Bautista Martin, Kevin Miao, Alexander Toshev, Joshua M. Susskind, Jiatao Gu
2025 J jnl
Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation.
CoRR
Xuyi Meng, Chen Wang, Jiahui Lei, Kostas Daniilidis, Jiatao Gu, Lingjie Liu
2025 J jnl
Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation.
Trans. Mach. Learn. Res.
Xuyi Meng, Chen Wang, Jiahui Lei, Kostas Daniilidis, Jiatao Gu, Lingjie Liu
2024 J jnl
3D Shape Tokenization.
CoRR
Jen-Hao Rick Chang, Yuyang Wang, Miguel Ángel Bautista, Jiatao Gu, Joshua M. Susskind, Oncel Tuzel
2024 — conf
Control3Diff: Learning Controllable 3D Diffusion Models from Single-view Images.
3DV
Jiatao Gu, Qingzhe Gao, Shuangfei Zhai, Baoquan Chen, Lingjie Liu, Josh M. Susskind
2024 J jnl
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation.
CoRR
Jiatao Gu, Yuyang Wang, Yizhe Zhang, Qihang Zhang, Dinghuai Zhang, Navdeep Jaitly, Josh M. Susskind, Shuangfei Zhai
2024 J jnl
DSplats: 3D Generation by Denoising Splats-Based Multiview Diffusion Models.
CoRR
Kevin Miao, Harsh Agrawal, Qihang Zhang, Federico Semeraro, Marco Cavallo, Jiatao Gu, Alexander Toshev
2024 A* conf
Data-free Distillation of Diffusion Models with Bootstrapping.
ICML
Jiatao Gu, Chen Wang, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Joshua M. Susskind
2024 A* conf
Diffusion Models Without Attention.
CVPR
Jing Nathan Yan, Jiatao Gu, Alexander M. Rush
2024 — conf
Divide-or-Conquer? Which Part Should You Distill Your LLM?
EMNLP (Findings)
Zhuofeng Wu, Richard He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang
2024 J jnl
Divide-or-Conquer? Which Part Should You Distill Your LLM?
CoRR
Zhuofeng Wu, He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang
2024 J jnl
GECO: Generative Image-to-3D within a SECOnd.
CoRR
Chen Wang, Jiatao Gu, Xiaoxiao Long, Yuan Liu, Lingjie Liu
2024 A* conf
Generative Modeling with Phase Stochastic Bridge.
ICLR
Tianrong Chen, Jiatao Gu, Laurent Dinh, Evangelos A. Theodorou, Joshua M. Susskind, Shuangfei Zhai
2024 J jnl
How Far Are We from Intelligent Visual Deductive Reasoning?
CoRR
Yizhe Zhang, He Bai, Ruixiang Zhang, Jiatao Gu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly
2024 J jnl
Improving GFlowNets for Text-to-Image Diffusion Alignment.
CoRR
Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Josh M. Susskind, Navdeep Jaitly, Shuangfei Zhai
2024 A* conf
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling.
NeurIPS
Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Joshua M. Susskind
2024 J jnl
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling.
CoRR
Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Joshua M. Susskind
2024 J jnl
Many-to-many Image Generation with Auto-regressive Diffusion Models.
CoRR
Ying Shen, Yizhe Zhang, Shuangfei Zhai, Lifu Huang, Joshua M. Susskind, Jiatao Gu
2024 A* conf
Matryoshka Diffusion Models.
ICLR
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Joshua M. Susskind, Navdeep Jaitly
2024 J jnl
Normalizing Flows are Capable Generative Models.
CoRR
Shuangfei Zhai, Ruixiang Zhang, Preetum Nakkiran, David Berthelot, Jiatao Gu, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Navdeep Jaitly, Joshua M. Susskind
2024 J jnl
ProLiF: Progressively-connected Light Field network for efficient view synthesis.
Comput. Graph.
Peng Wang, Yuan Liu, Guying Lin, Jiatao Gu, Lingjie Liu, Taku Komura, Wenping Wang
2024 J jnl
TypeScore: A Text Fidelity Metric for Text-to-Image Generative Models.
CoRR
Georgia Gabriela Sampaio, Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu, Josh M. Susskind, Navdeep Jaitly, Yizhe Zhang
2024 J jnl
World-consistent Video Diffusion with Explicit 3D Modeling.
CoRR
Qihang Zhang, Shuangfei Zhai, Miguel Ángel Bautista, Kevin Miao, Alexander Toshev, Joshua M. Susskind, Jiatao Gu
2023 J jnl
Adaptivity and Modularity for Efficient Generalization Over Task Complexity.
CoRR
Samira Abnar, Omid Saremi, Laurent Dinh, Shantel Wilson, Miguel Ángel Bautista, Chen Huang, Vimal Thilak, Etai Littwin, Jiatao Gu, Josh M. Susskind, Samy Bengio
2023 J jnl
BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping.
CoRR
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Josh M. Susskind
2023 J jnl
Diffusion Models Without Attention.
CoRR
Jing Nathan Yan, Jiatao Gu, Alexander M. Rush
2023 A* conf
Diffusion Probabilistic Fields.
ICLR
Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista
2023 J jnl
Diffusion Probabilistic Fields.
CoRR
Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista
2023 J jnl
Efficient-NeRF2NeRF: Streamlining Text-Driven 3D Editing with Multiview Correspondence-Enhanced Diffusion Models.
CoRR
Liangchen Song, Liangliang Cao, Jiatao Gu, Yifan Jiang, Junsong Yuan, Hao Tang
2023 J jnl
Generative Modeling with Phase Stochastic Bridges.
CoRR
Tianrong Chen, Jiatao Gu, Laurent Dinh, Evangelos A. Theodorou, Josh M. Susskind, Shuangfei Zhai
2023 J jnl
Learning Controllable 3D Diffusion Models from Single-view Images.
CoRR
Jiatao Gu, Qingzhe Gao, Shuangfei Zhai, Baoquan Chen, Lingjie Liu, Josh M. Susskind
2023 A* conf
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors.
ICLR
Chen Huang, Hanlin Goh, Jiatao Gu, Joshua M. Susskind
2023 J jnl
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors.
CoRR
Chen Huang, Hanlin Goh, Jiatao Gu, Josh M. Susskind
2023 J jnl
Matryoshka Diffusion Models.
CoRR
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Josh M. Susskind, Navdeep Jaitly
2023 A* conf
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion.
ICML
Jiatao Gu, Alex Trevithick, Kai-En Lin, Joshua M. Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi
2023 J jnl
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion.
CoRR
Jiatao Gu, Alex Trevithick, Kai-En Lin, Josh M. Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi
2023 A* conf
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model.
NeurIPS
Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Joshua M. Susskind, Navdeep Jaitly
2023 J jnl
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model.
CoRR
Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly
2023 A* conf
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction.
ICCV
Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su
2023 J jnl
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction.
CoRR
Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su
2023 A* conf
Stabilizing Transformer Training by Preventing Attention Entropy Collapse.
ICML
Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind
2023 J jnl
Stabilizing Transformer Training by Preventing Attention Entropy Collapse.
CoRR
Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind
2023 A* conf
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation.
ICLR
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Ángel Bautista, Joshua M. Susskind
2022 — conf
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem.
ACL (Findings)
Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz
2022 J jnl
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem.
CoRR
Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz
2022 — conf
Direct Speech-to-Speech Translation With Discrete Units.
ACL (1)
Ann Lee, Peng-Jen Chen, Changhan Wang, Jiatao Gu, Sravya Popuri, Xutai Ma, Adam Polyak, Yossi Adi, Qing He, Yun Tang, Juan Pino, Wei-Ning Hsu
2022 — conf
Dual Attention Mechanisms Based Auto-Encoder for Video Anomaly Detection.
ICAIS (1)
Jiatao Gu, Jing Zeng, Genlin Ji
2022 A conf
Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation.
INTERSPEECH
Sravya Popuri, Peng-Jen Chen, Changhan Wang, Juan Pino, Yossi Adi, Jiatao Gu, Wei-Ning Hsu, Ann Lee
2022 J jnl
Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation.
CoRR
Sravya Popuri, Peng-Jen Chen, Changhan Wang, Juan Pino, Yossi Adi, Jiatao Gu, Wei-Ning Hsu, Ann Lee
2022 — conf
IDPG: An Instance-Dependent Prompt Generation Method.
NAACL-HLT
Zhuofeng Wu, Sinong Wang, Jiatao Gu, Rui Hou, Yuxiao Dong, V. G. Vinod Vydiswaran, Hao Ma
2022 J jnl
IDPG: An Instance-Dependent Prompt Generation Method.
CoRR
Zhuofeng Wu, Sinong Wang, Jiatao Gu, Rui Hou, Yuxiao Dong, V. G. Vinod Vydiswaran, Hao Ma
2022 J jnl
Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders.
CoRR
Xiang Kong, Adithya Renduchintala, James Cross, Yuqing Tang, Jiatao Gu, Xian Li
2022 — conf
Non-Autoregressive Sequence Generation.
ACL (tutorial)
Jiatao Gu, Xu Tan
2022 J jnl
Progressively-connected Light Field Network for Efficient View Synthesis.
CoRR
Peng Wang, Yuan Liu, Guying Lin, Jiatao Gu, Lingjie Liu, Taku Komura, Wenping Wang
2022 A* conf
StyleNeRF: A Style-based 3D Aware Generator for High-resolution Image Synthesis.
ICLR
Jiatao Gu, Lingjie Liu, Peng Wang, Christian Theobalt
2022 — conf
Textless Speech-to-Speech Translation on Real Data.
NAACL-HLT
Ann Lee, Hongyu Gong, Paul-Ambroise Duquenne, Holger Schwenk, Peng-Jen Chen, Changhan Wang, Sravya Popuri, Yossi Adi, Juan Miguel Pino, Jiatao Gu, Wei-Ning Hsu
2022 — conf
Unified Speech-Text Pre-training for Speech Translation and Recognition.
ACL (1)
Yun Tang, Hongyu Gong, Ning Dong, Changhan Wang, Wei-Ning Hsu, Jiatao Gu, Alexei Baevski, Xian Li, Abdelrahman Mohamed, Michael Auli, Juan Miguel Pino
2022 J jnl
Unified Speech-Text Pre-training for Speech Translation and Recognition.
CoRR
Yun Tang, Hongyu Gong, Ning Dong, Changhan Wang, Wei-Ning Hsu, Jiatao Gu, Alexei Baevski, Xian Li, Abdelrahman Mohamed, Michael Auli, Juan Miguel Pino
2022 A* conf
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language.
ICML
Alexei Baevski, Wei-Ning Hsu, Qiantong Xu, Arun Babu, Jiatao Gu, Michael Auli
2022 J jnl
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language.
CoRR
Alexei Baevski, Wei-Ning Hsu, Qiantong Xu, Arun Babu, Jiatao Gu, Michael Auli
2022 J jnl
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation.
CoRR
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Ángel Bautista, Josh M. Susskind
2021 A conf
CoVoST 2 and Massively Multilingual Speech Translation.
Interspeech
Changhan Wang, Anne Wu, Jiatao Gu, Juan Pino
2021 — conf
Detecting Hallucinated Content in Conditional Neural Sequence Generation.
ACL/IJCNLP (Findings)
Chunting Zhou, Graham Neubig, Jiatao Gu, Mona T. Diab, Francisco Guzmán, Luke Zettlemoyer, Marjan Ghazvininejad
2021 J jnl
Direct speech-to-speech translation with discrete units.
CoRR
Ann Lee, Peng-Jen Chen, Changhan Wang, Jiatao Gu, Xutai Ma, Adam Polyak, Yossi Adi, Qing He, Yun Tang, Juan Miguel Pino, Wei-Ning Hsu
2021 — conf
Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade.
ACL/IJCNLP (Findings)
Jiatao Gu, Xiang Kong
2021 — conf
Lightweight Adapter Tuning for Multilingual Speech Translation.
ACL/IJCNLP (2)
Hang Le, Juan Miguel Pino, Changhan Wang, Jiatao Gu, Didier Schwab, Laurent Besacier
2021 J jnl
Lightweight Adapter Tuning for Multilingual Speech Translation.
CoRR
Hang Le, Juan Miguel Pino, Changhan Wang, Jiatao Gu, Didier Schwab, Laurent Besacier
2021 A conf
Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders.
EACL
Xiang Kong, Adithya Renduchintala, James Cross, Yuqing Tang, Jiatao Gu, Xian Li
2021 — conf
Multilingual Translation from Denoising Pre-Training.
ACL/IJCNLP (Findings)
Yuqing Tang, Chau Tran, Xian Li, Peng-Jen Chen, Naman Goyal, Vishrav Chaudhary, Jiatao Gu, Angela Fan
2021 J jnl
Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control.
CoRR
Lingjie Liu, Marc Habermann, Viktor Rudnev, Kripasindhu Sarkar, Jiatao Gu, Christian Theobalt
2021 J jnl
Neural actor: neural free-view synthesis of human actors with pose control.
ACM Trans. Graph.
Lingjie Liu, Marc Habermann, Viktor Rudnev, Kripasindhu Sarkar, Jiatao Gu, Christian Theobalt
2021 J jnl
StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis.
CoRR
Jiatao Gu, Lingjie Liu, Peng Wang, Christian Theobalt
2021 J jnl
Textless Speech-to-Speech Translation on Real Data.
CoRR
Ann Lee, Hongyu Gong, Paul-Ambroise Duquenne, Holger Schwenk, Peng-Jen Chen, Changhan Wang, Sravya Popuri, Juan Miguel Pino, Jiatao Gu, Wei-Ning Hsu
2021 A conf
The Source-Target Domain Mismatch Problem in Machine Translation.
EACL
Jiajun Shen, Peng-Jen Chen, Matt Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, Marc'Aurelio Ranzato
2021 A* conf
Volume Rendering of Neural Implicit Surfaces.
NeurIPS
Lior Yariv, Jiatao Gu, Yoni Kasten, Yaron Lipman
2021 J jnl
Volume Rendering of Neural Implicit Surfaces.
CoRR
Lior Yariv, Jiatao Gu, Yoni Kasten, Yaron Lipman
2021 — conf
fairseq S\^2: A Scalable and Integrable Speech Synthesis Toolkit.
EMNLP (Demos)
Changhan Wang, Wei-Ning Hsu, Yossi Adi, Adam Polyak, Ann Lee, Peng-Jen Chen, Jiatao Gu, Juan Pino
2021 J jnl
fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit.
CoRR
Changhan Wang, Wei-Ning Hsu, Yossi Adi, Adam Polyak, Ann Lee, Peng-Jen Chen, Jiatao Gu, Juan Miguel Pino
2020 A* conf
Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation.
ACL
Arya D. McCarthy, Xian Li, Jiatao Gu, Ning Dong
2020 J jnl
CLEAR: Contrastive Learning for Sentence Representation.
CoRR
Zhuofeng Wu, Sinong Wang, Jiatao Gu, Madian Khabsa, Fei Sun, Hao Ma
2020 B conf
CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus.
LREC
Changhan Wang, Juan Miguel Pino, Anne Wu, Jiatao Gu
2020 J jnl
CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus.
CoRR
Changhan Wang, Juan Miguel Pino, Anne Wu, Jiatao Gu
2020 A* conf
Cross-lingual Retrieval for Iterative Self-Supervised Training.
NeurIPS
Chau Tran, Yuqing Tang, Xian Li, Jiatao Gu
2020 J jnl
Cross-lingual Retrieval for Iterative Self-Supervised Training.
CoRR
Chau Tran, Yuqing Tang, Xian Li, Jiatao Gu
2020 A* conf
Depth-Adaptive Transformer.
ICLR
Maha Elbayad, Jiatao Gu, Edouard Grave, Michael Auli
2020 J jnl
Detecting Hallucinated Content in Conditional Neural Sequence Generation.
CoRR
Chunting Zhou, Graham Neubig, Jiatao Gu, Mona T. Diab, Paco Guzman, Luke Zettlemoyer, Marjan Ghazvininejad
2020 B conf
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation.
COLING
Hang Le, Juan Miguel Pino, Changhan Wang, Jiatao Gu, Didier Schwab, Laurent Besacier
2020 J jnl
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation.
CoRR
Hang Le, Juan Miguel Pino, Changhan Wang, Jiatao Gu, Didier Schwab, Laurent Besacier
2020 — conf
FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN.
IWSLT
Ebrahim Ansari, Amittai Axelrod, Nguyen Bach, Ondrej Bojar, Roldano Cattoni, Fahim Dalvi, Nadir Durrani, Marcello Federico, Christian Federmann, Jiatao Gu, Fei Huang, Kevin Knight, Xutai Ma, Ajay Nagesh, Matteo Negri, Jan Niehues, Juan Miguel Pino, Elizabeth Salesky, Xing Shi, Sebastian Stüker, Marco Turchi, Alexander Waibel, Changhan Wang
2020 — conf
Facebook AI's WMT20 News Translation Task Submission.
WMT@EMNLP
Peng-Jen Chen, Ann Lee, Changhan Wang, Naman Goyal, Angela Fan, Mary Williamson, Jiatao Gu
2020 J jnl
Facebook AI's WMT20 News Translation Task Submission.
CoRR
Peng-Jen Chen, Ann Lee, Changhan Wang, Naman Goyal, Angela Fan, Mary Williamson, Jiatao Gu
2020 J jnl
Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade.
CoRR
Jiatao Gu, Xiang Kong
2020 A conf
Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation.
INTERSPEECH
Changhan Wang, Juan Miguel Pino, Jiatao Gu
2020 J jnl
Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation.
CoRR
Changhan Wang, Juan Miguel Pino, Jiatao Gu
2020 A* conf
Monotonic Multihead Attention.
ICLR
Xutai Ma, Juan Miguel Pino, James Cross, Liezl Puzon, Jiatao Gu
2020 J jnl
Multilingual Denoising Pre-training for Neural Machine Translation.
CoRR
Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer
2020 J jnl
Multilingual Denoising Pre-training for Neural Machine Translation.
Trans. Assoc. Comput. Linguistics
Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer
2020 J jnl
Multilingual Translation with Extensible Multilingual Pretraining and Finetuning.
CoRR
Yuqing Tang, Chau Tran, Xian Li, Peng-Jen Chen, Naman Goyal, Vishrav Chaudhary, Jiatao Gu, Angela Fan
2020 A* conf
Neural Machine Translation with Byte-Level Subwords.
AAAI
Changhan Wang, Kyunghyun Cho, Jiatao Gu
2020 A* conf
Neural Sparse Voxel Fields.
NeurIPS
Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, Christian Theobalt
2020 J jnl
Neural Sparse Voxel Fields.
CoRR
Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, Christian Theobalt
2020 A* conf
Non-autoregressive Machine Translation with Disentangled Context Transformer.
ICML
Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu
2020 J jnl
Parallel Machine Translation with Disentangled Context Transformer.
CoRR
Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu
2020 — conf
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding.
ECCV (3)
Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany
2020 J jnl
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding.
CoRR
Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany
2020 A* conf
Revisiting Self-Training for Neural Sequence Generation.
ICLR
Junxian He, Jiatao Gu, Jiajun Shen, Marc'Aurelio Ranzato
2020 — conf
SIMULEVAL: An Evaluation Toolkit for Simultaneous Translation.
EMNLP (Demos)
Xutai Ma, Mohammad Javad Dousti, Changhan Wang, Jiatao Gu, Juan Miguel Pino
2020 A conf
Self-Supervised Representations Improve End-to-End Speech Translation.
INTERSPEECH
Anne Wu, Changhan Wang, Juan Miguel Pino, Jiatao Gu
2020 J jnl
Self-Supervised Representations Improve End-to-End Speech Translation.
CoRR
Anne Wu, Changhan Wang, Juan Miguel Pino, Jiatao Gu
2020 J jnl
SimulEval: An Evaluation Toolkit for Simultaneous Translation.
CoRR
Xutai Ma, Mohammad Javad Dousti, Changhan Wang, Jiatao Gu, Juan Miguel Pino
2020 A* conf
Understanding Knowledge Distillation in Non-autoregressive Machine Translation.
ICLR
Chunting Zhou, Jiatao Gu, Graham Neubig
2019 J jnl
Depth-Adaptive Transformer.
CoRR
Maha Elbayad, Jiatao Gu, Edouard Grave, Michael Auli
2019 — conf
Harnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the Trade.
IWSLT
Juan Pino, Liezl Puzon, Jiatao Gu, Xutai Ma, Arya D. McCarthy, Deepak Gopinath
2019 J jnl
Improved Variational Neural Machine Translation by Promoting Mutual Information.
CoRR
Arya D. McCarthy, Xian Li, Jiatao Gu, Ning Dong
2019 — conf
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations.
ACL (1)
Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li
2019 J jnl
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations.
CoRR
Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li
2019 J jnl
Insertion-based Decoding with Automatically Inferred Generation Order.
Trans. Assoc. Comput. Linguistics
Jiatao Gu, Qi Liu, Kyunghyun Cho
2019 J jnl
Insertion-based Decoding with automatically Inferred Generation Order.
CoRR
Jiatao Gu, Qi Liu, Kyunghyun Cho
2019 A* conf
Levenshtein Transformer.
NeurIPS
Jiatao Gu, Changhan Wang, Junbo Zhao
2019 J jnl
Levenshtein Transformer.
CoRR
Jiatao Gu, Changhan Wang, Jake Zhao
2019 J jnl
Leveraging Out-of-Task Data for End-to-End Automatic Speech Translation.
CoRR
Juan Miguel Pino, Liezl Puzon, Jiatao Gu, Xutai Ma, Arya D. McCarthy, Deepak Gopinath
2019 J jnl
Monotonic Multihead Attention.
CoRR
Xutai Ma, Juan Miguel Pino, James Cross, Liezl Puzon, Jiatao Gu
2019 J jnl
Neural Machine Translation with Byte-Level Subwords.
CoRR
Changhan Wang, Kyunghyun Cho, Jiatao Gu
2019 J jnl
Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst.
James Jian Qiao Yu, Wen Yu, Jiatao Gu
2019 J jnl
Real-Time Traffic Speed Estimation With Graph Convolutional Generative Autoencoder.
IEEE Trans. Intell. Transp. Syst.
James Jian Qiao Yu, Jiatao Gu
2019 J jnl
Revisiting Self-Training for Neural Sequence Generation.
CoRR
Junxian He, Jiatao Gu, Jiajun Shen, Marc'Aurelio Ranzato
2019 J jnl
The Source-Target Domain Mismatch Problem in Machine Translation.
CoRR
Jiajun Shen, Peng-Jen Chen, Matt Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, Marc'Aurelio Ranzato
2019 J jnl
Understanding Knowledge Distillation in Non-autoregressive Machine Translation.
CoRR
Chunting Zhou, Graham Neubig, Jiatao Gu
2019 J jnl
VizSeq: A Visual Analysis Toolkit for Text Generation Tasks.
CoRR
Changhan Wang, Anirudh Jain, Danlu Chen, Jiatao Gu
2019 — conf
VizSeq: a visual analysis toolkit for text generation tasks.
EMNLP/IJCNLP (3)
Changhan Wang, Anirudh Jain, Danlu Chen, Jiatao Gu
2018 J jnl
Large Margin Few-Shot Learning.
CoRR
Yong Wang, Xiao-Ming Wu, Qimai Li, Jiatao Gu, Wangmeng Xiang, Lei Zhang, Victor O. K. Li
2018 A* conf
Meta-Learning for Low-Resource Neural Machine Translation.
EMNLP
Jiatao Gu, Yong Wang, Yun Chen, Victor O. K. Li, Kyunghyun Cho
2018 J jnl
Meta-Learning for Low-Resource Neural Machine Translation.
CoRR
Jiatao Gu, Yong Wang, Yun Chen, Kyunghyun Cho, Victor O. K. Li
2018 A* conf
Neural Machine Translation with Gumbel-Greedy Decoding.
AAAI
Jiatao Gu, Daniel Jiwoong Im, Victor O. K. Li
2018 — conf
Non-Autoregressive Neural Machine Translation.
ICLR (Poster)
Jiatao Gu, James Bradbury, Caiming Xiong, Victor O. K. Li, Richard Socher
2018 A* conf
Search Engine Guided Neural Machine Translation.
AAAI
Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li
2018 — conf
Universal Neural Machine Translation for Extremely Low Resource Languages.
NAACL-HLT
Jiatao Gu, Hany Hassan, Jacob Devlin, Victor O. K. Li
2018 J jnl
Universal Neural Machine Translation for Extremely Low Resource Languages.
CoRR
Jiatao Gu, Hany Hassan, Jacob Devlin, Victor O. K. Li
2017 B conf
Deep Learning Model to Estimate Air Pollution Using M-BP to Fill in Missing Proxy Urban Data.
GLOBECOM
Victor O. K. Li, Jacqueline C. K. Lam, Yun Chen, Jiatao Gu
2017 — conf
Learning to Translate in Real-time with Neural Machine Translation.
EACL (1)
Jiatao Gu, Graham Neubig, Kyunghyun Cho, Victor O. K. Li
2017 J jnl
Neural Machine Translation with Gumbel-Greedy Decoding.
CoRR
Jiatao Gu, Daniel Jiwoong Im, Victor O. K. Li
2017 J jnl
Non-Autoregressive Neural Machine Translation.
CoRR
Jiatao Gu, James Bradbury, Caiming Xiong, Victor O. K. Li, Richard Socher
2017 J jnl
Search Engine Guided Non-Parametric Neural Machine Translation.
CoRR
Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li
2017 A* conf
Trainable Greedy Decoding for Neural Machine Translation.
EMNLP
Jiatao Gu, Kyunghyun Cho, Victor O. K. Li
2017 J jnl
Trainable Greedy Decoding for Neural Machine Translation.
CoRR
Jiatao Gu, Kyunghyun Cho, Victor O. K. Li
2016 — conf
Incorporating Copying Mechanism in Sequence-to-Sequence Learning.
ACL (1)
Jiatao Gu, Zhengdong Lu, Hang Li, Victor O. K. Li
2016 J jnl
Incorporating Copying Mechanism in Sequence-to-Sequence Learning.
CoRR
Jiatao Gu, Zhengdong Lu, Hang Li, Victor O. K. Li
2016 J jnl
Intelligent Time-Adaptive Transient Stability Assessment System.
CoRR
James Jian Qiao Yu, David J. Hill, Albert Y. S. Lam, Jiatao Gu, Victor O. K. Li
2016 J jnl
Learning to Translate in Real-time with Neural Machine Translation.
CoRR
Jiatao Gu, Graham Neubig, Kyunghyun Cho, Victor O. K. Li
2015 — conf
Efficient Learning for Undirected Topic Models.
ACL (2)
Jiatao Gu, Victor O. K. Li
2015 J jnl
Efficient Learning for Undirected Topic Models.
CoRR
Jiatao Gu, Victor O. K. Li