Jiatao Gu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
58
Venues
15
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
58 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Vid2Sim: Generalizable, Video-based Reconstruction of Appearance, Geometry and Physics for Mesh-free Simulation. | Chuhao Chen, Zhiyang Dou, Chen Wang, Yiming Huang, Anjun Chen, Qiao Feng, Jiatao Gu, Lingjie Liu |
| 2025 | CVPR | World-consistent Video Diffusion with Explicit 3D Modeling. | Qihang Zhang, Shuangfei Zhai, Miguel ngel Bautista Martin, Kevin Miao, Alexander Toshev, Joshua M. Susskind, Jiatao Gu |
| 2025 | ICLR | Denoising Autoregressive Transformers for Scalable Text-to-Image Generation. | Jiatao Gu, Yuyang Wang, Yizhe Zhang, Qihang Zhang, Dinghuai Zhang, Navdeep Jaitly, Joshua M. Susskind, Shuangfei Zhai |
| 2025 | ICML | Normalizing Flows are Capable Generative Models. | Shuangfei Zhai, Ruixiang Zhang, Preetum Nakkiran, David Berthelot, Jiatao Gu, Huangjie Zheng, Tianrong Chen, Miguel ngel Bautista, Navdeep Jaitly, Joshua M. Susskind |
| 2025 | SiggraphA | PhysHMR: Learning Humanoid Control Policies from Vision for Physically Plausible Human Motion Reconstruction. | Qiao Feng, Yiming Huang, Yufu Wang, Jiatao Gu, Lingjie Liu |
| 2024 | CVPR | Diffusion Models Without Attention. | Jing Nathan Yan, Jiatao Gu, Alexander M. Rush |
| 2024 | EMNLP | Divide-or-Conquer? Which Part Should You Distill Your LLM? | Zhuofeng Wu, Richard He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang |
| 2024 | ICLR | Generative Modeling with Phase Stochastic Bridge. | Tianrong Chen, Jiatao Gu, Laurent Dinh, Evangelos A. Theodorou, Joshua M. Susskind, Shuangfei Zhai |
| 2024 | ICLR | Matryoshka Diffusion Models. | Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Joshua M. Susskind, Navdeep Jaitly |
| 2024 | ICML | Data-free Distillation of Diffusion Models with Bootstrapping. | Jiatao Gu, Chen Wang, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Joshua M. Susskind |
| 2023 | ICCV | Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction. | Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su |
| 2023 | ICLR | MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors. | Chen Huang, Hanlin Goh, Jiatao Gu, Joshua M. Susskind |
| 2023 | ICLR | f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation. | Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel ngel Bautista, Joshua M. Susskind |
| 2023 | ICLR | Diffusion Probabilistic Fields. | Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel ngel Bautista |
| 2023 | ICML | NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion. | Jiatao Gu, Alex Trevithick, Kai-En Lin, Joshua M. Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi |
| 2023 | ICML | Stabilizing Transformer Training by Preventing Attention Entropy Collapse. | Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind |
| 2022 | ACL | Non-Autoregressive Sequence Generation. | Jiatao Gu, Xu Tan |
| 2022 | ACL | Direct Speech-to-Speech Translation With Discrete Units. | 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 | ACL | Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem. | Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz |
| 2022 | ACL | Unified Speech-Text Pre-training for Speech Translation and Recognition. | 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 | ICLR | StyleNeRF: A Style-based 3D Aware Generator for High-resolution Image Synthesis. | Jiatao Gu, Lingjie Liu, Peng Wang, Christian Theobalt |
| 2022 | ICML | data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language. | Alexei Baevski, Wei-Ning Hsu, Qiantong Xu, Arun Babu, Jiatao Gu, Michael Auli |
| 2022 | Interspeech | Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation. | Sravya Popuri, Peng-Jen Chen, Changhan Wang, Juan Pino, Yossi Adi, Jiatao Gu, Wei-Ning Hsu, Ann Lee |
| 2022 | NAACL | IDPG: An Instance-Dependent Prompt Generation Method. | Zhuofeng Wu, Sinong Wang, Jiatao Gu, Rui Hou, Yuxiao Dong, V. G. Vinod Vydiswaran, Hao Ma |
| 2022 | NAACL | Textless Speech-to-Speech Translation on Real Data. | 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 |
| 2021 | ACL | Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade. | Jiatao Gu, Xiang Kong |
| 2021 | ACL | Lightweight Adapter Tuning for Multilingual Speech Translation. | Hang Le, Juan Miguel Pino, Changhan Wang, Jiatao Gu, Didier Schwab, Laurent Besacier |
| 2021 | ACL | Multilingual Translation from Denoising Pre-Training. | Yuqing Tang, Chau Tran, Xian Li, Peng-Jen Chen, Naman Goyal, Vishrav Chaudhary, Jiatao Gu, Angela Fan |
| 2021 | ACL | Detecting Hallucinated Content in Conditional Neural Sequence Generation. | Chunting Zhou, Graham Neubig, Jiatao Gu, Mona T. Diab, Francisco Guzmn, Luke Zettlemoyer, Marjan Ghazvininejad |
| 2021 | EACL | Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders. | Xiang Kong, Adithya Renduchintala, James Cross, Yuqing Tang, Jiatao Gu, Xian Li |
| 2021 | EACL | The Source-Target Domain Mismatch Problem in Machine Translation. | Jiajun Shen, Peng-Jen Chen, Matt Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, Marc'Aurelio Ranzato |
| 2021 | EMNLP | fairseq S\^2: A Scalable and Integrable Speech Synthesis Toolkit. | Changhan Wang, Wei-Ning Hsu, Yossi Adi, Adam Polyak, Ann Lee, Peng-Jen Chen, Jiatao Gu, Juan Pino |
| 2021 | Interspeech | CoVoST 2 and Massively Multilingual Speech Translation. | Changhan Wang, Anne Wu, Jiatao Gu, Juan Pino |
| 2020 | AAAI | Neural Machine Translation with Byte-Level Subwords. | Changhan Wang, Kyunghyun Cho, Jiatao Gu |
| 2020 | ACL | Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation. | Arya D. McCarthy, Xian Li, Jiatao Gu, Ning Dong |
| 2020 | COLING | Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation. | Hang Le, Juan Miguel Pino, Changhan Wang, Jiatao Gu, Didier Schwab, Laurent Besacier |
| 2020 | ECCV | PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. | Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany |
| 2020 | EMNLP | SIMULEVAL: An Evaluation Toolkit for Simultaneous Translation. | Xutai Ma, Mohammad Javad Dousti, Changhan Wang, Jiatao Gu, Juan Miguel Pino |
| 2020 | ICLR | Depth-Adaptive Transformer. | Maha Elbayad, Jiatao Gu, Edouard Grave, Michael Auli |
| 2020 | ICLR | Revisiting Self-Training for Neural Sequence Generation. | Junxian He, Jiatao Gu, Jiajun Shen, Marc'Aurelio Ranzato |
| 2020 | ICLR | Monotonic Multihead Attention. | Xutai Ma, Juan Miguel Pino, James Cross, Liezl Puzon, Jiatao Gu |
| 2020 | ICLR | Understanding Knowledge Distillation in Non-autoregressive Machine Translation. | Chunting Zhou, Jiatao Gu, Graham Neubig |
| 2020 | ICML | Non-autoregressive Machine Translation with Disentangled Context Transformer. | Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu |
| 2020 | Interspeech | Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation. | Changhan Wang, Juan Miguel Pino, Jiatao Gu |
| 2020 | Interspeech | Self-Supervised Representations Improve End-to-End Speech Translation. | Anne Wu, Changhan Wang, Juan Miguel Pino, Jiatao Gu |
| 2020 | LREC | CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus. | Changhan Wang, Juan Miguel Pino, Anne Wu, Jiatao Gu |
| 2019 | ACL | Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations. | Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li |
| 2019 | EMNLP | VizSeq: a visual analysis toolkit for text generation tasks. | Changhan Wang, Anirudh Jain, Danlu Chen, Jiatao Gu |
| 2018 | AAAI | Neural Machine Translation with Gumbel-Greedy Decoding. | Jiatao Gu, Daniel Jiwoong Im, Victor O. K. Li |
| 2018 | AAAI | Search Engine Guided Neural Machine Translation. | Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li |
| 2018 | EMNLP | Meta-Learning for Low-Resource Neural Machine Translation. | Jiatao Gu, Yong Wang, Yun Chen, Victor O. K. Li, Kyunghyun Cho |
| 2018 | ICLR | Non-Autoregressive Neural Machine Translation. | Jiatao Gu, James Bradbury, Caiming Xiong, Victor O. K. Li, Richard Socher |
| 2018 | NAACL | Universal Neural Machine Translation for Extremely Low Resource Languages. | Jiatao Gu, Hany Hassan, Jacob Devlin, Victor O. K. Li |
| 2017 | EACL | Learning to Translate in Real-time with Neural Machine Translation. | Jiatao Gu, Graham Neubig, Kyunghyun Cho, Victor O. K. Li |
| 2017 | EMNLP | Trainable Greedy Decoding for Neural Machine Translation. | Jiatao Gu, Kyunghyun Cho, Victor O. K. Li |
| 2017 | GLOBECOM | Deep Learning Model to Estimate Air Pollution Using M-BP to Fill in Missing Proxy Urban Data. | Victor O. K. Li, Jacqueline C. K. Lam, Yun Chen, Jiatao Gu |
| 2016 | ACL | Incorporating Copying Mechanism in Sequence-to-Sequence Learning. | Jiatao Gu, Zhengdong Lu, Hang Li, Victor O. K. Li |
| 2015 | ACL | Efficient Learning for Undirected Topic Models. | Jiatao Gu, Victor O. K. Li |