Shuangfei Zhai
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
13
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo. | James Thornton, Louis Bthune, Ruixiang Zhang, Arwen Bradley, Preetum Nakkiran, Shuangfei Zhai |
| 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 | ICML | Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion. | Ruixiang Zhang, Shuangfei Zhai, Yizhe Zhang, James Thornton, Zijing Ou, Joshua M. Susskind, Navdeep Jaitly |
| 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 | Scalable Pre-training of Large Autoregressive Image Models. | Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel ngel Bautista, Vaishaal Shankar, Alexander T. Toshev, Joshua M. Susskind, Armand Joulin |
| 2024 | ICML | Data-free Distillation of Diffusion Models with Bootstrapping. | Jiatao Gu, Chen Wang, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Joshua M. Susskind |
| 2023 | CVPR | AutoFocusFormer: Image Segmentation off the Grid. | Ziwen Chen, Kaushik Patnaik, Shuangfei Zhai, Alvin Wan, Zhile Ren, Alexander G. Schwing, Alex Colburn, Fuxin Li |
| 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 | 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 | ICLR | Learning Representation from Neural Fisher Kernel with Low-rank Approximation. | Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Joshua M. Susskind |
| 2022 | ICML | Position Prediction as an Effective Pretraining Strategy. | Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y. Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind |
| 2022 | NAACL | Regularized Training of Nearest Neighbor Language Models. | Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Joshua M. Susskind |
| 2021 | CVPR | MetricOpt: Learning To Optimize Black-Box Evaluation Metrics. | Chen Huang, Shuangfei Zhai, Pengsheng Guo, Josh M. Susskind |
| 2021 | ICML | Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. | Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh |
| 2021 | WACV | On the generalization of learning-based 3D reconstruction. | Miguel ngel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind |
| 2019 | ICML | Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment. | Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel ngel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind |
| 2019 | KSEM | Efficient Network Representations Learning: An Edge-Centric Perspective. | Shichao Liu, Shuangfei Zhai, Lida Zhu, Fuxi Zhu, Zhongfei (Mark) Zhang, Wen Zhang |
| 2018 | BMVC | Identity-based Adversarial Training of Deep CNNs for Facial Action Unit Recognition. | Zheng Zhang, Shuangfei Zhai, Lijun Yin |
| 2017 | AAAI | Structural Correspondence Learning for Cross-Lingual Sentiment Classification with One-to-Many Mappings. | Nana Li, Shuangfei Zhai, Zhongfei Zhang, Boying Liu |
| 2017 | CVPR | Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification. | Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogrio Schmidt Feris |
| 2017 | CVPR | S3Pool: Pooling with Stochastic Spatial Sampling. | Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogrio Schmidt Feris |
| 2017 | ICDM | Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. | Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu |
| 2016 | AAAI | Semisupervised Autoencoder for Sentiment Analysis. | Shuangfei Zhai, Zhongfei (Mark) Zhang |
| 2016 | ICML | Deep Structured Energy Based Models for Anomaly Detection. | Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang |
| 2016 | KDD | DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks. | Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei (Mark) Zhang |
| 2016 | WWW | Attention Based Recurrent Neural Networks for Online Advertising. | Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei Zhang |
| 2015 | SDM | Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs. | Shuangfei Zhai, Zhongfei (Mark) Zhang |