Shuangfei Zhai

94 papers A* 28A 4Journal 57Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exclusive Self Attention. CoRR Shuangfei Zhai
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	A	`conf`	Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo. AISTATS James Thornton, Louis Béthune, Ruixiang Zhang, Arwen Bradley, Preetum Nakkiran, Shuangfei Zhai
2025	J	`jnl`	Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo. CoRR James Thornton, Louis Béthune, Ruixiang Zhang, Arwen Bradley, Preetum Nakkiran, Shuangfei Zhai
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`	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`	How PARTs assemble into wholes: Learning the relative composition of images. CoRR Melika Ayoughi, Samira Abnar, Chen Huang, Christopher Michael Sandino, Sayeri Lala, Eeshan Gunesh Dhekane, Dan Busbridge, Shuangfei Zhai, Vimal Thilak, Joshua M. Susskind, Pascal Mettes, Paul Groth, Hanlin Goh
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`	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`	Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion. ICML Ruixiang Zhang, Shuangfei Zhai, Yizhe Zhang, James Thornton, Zijing Ou, Joshua M. Susskind, Navdeep Jaitly
2025	J	`jnl`	Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion. CoRR Ruixiang Zhang, Shuangfei Zhai, Yizhe Zhang, James Thornton, Zijing Ou, Joshua M. Susskind, Navdeep Jaitly
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
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	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`	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	A*	`conf`	Scalable Pre-training of Large Autoregressive Image Models. ICML Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Vaishaal Shankar, Alexander T. Toshev, Joshua M. Susskind, Armand Joulin
2024	J	`jnl`	Scalable Pre-training of Large Autoregressive Image Models. CoRR Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Alexander Toshev, Vaishaal Shankar, Joshua M. Susskind, Armand Joulin
2024	J	`jnl`	The Slingshot Effect: A Late-Stage Optimization Anomaly in Adaptive Gradient Methods. Trans. Mach. Learn. Res. Vimal Thilak, Etai Littwin, Shuangfei Zhai, Omid Saremi, Roni Paiss, Joshua M. Susskind
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	A*	`conf`	AutoFocusFormer: Image Segmentation off the Grid. CVPR Ziwen Chen, Kaushik Patnaik, Shuangfei Zhai, Alvin Wan, Zhile Ren, Alexander G. Schwing, Alex Colburn, Fuxin Li
2023	J	`jnl`	AutoFocusFormer: Image Segmentation off the Grid. CoRR Ziwen Chen, Kaushik Patnaik, Shuangfei Zhai, Alvin Wan, Zhile Ren, Alexander G. Schwing, Alex Colburn, Fuxin Li
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`	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	J	`jnl`	Matryoshka Diffusion Models. CoRR Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Josh M. Susskind, Navdeep Jaitly
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`	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	J	`jnl`	TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation. CoRR David Berthelot, Arnaud Autef, Jierui Lin, Dian Ang Yap, Shuangfei Zhai, Siyuan Hu, Daniel Zheng, Walter Talbott, Eric Gu
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	A*	`conf`	GAUDI: A Neural Architect for Immersive 3D Scene Generation. NeurIPS Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Joshua M. Susskind
2022	J	`jnl`	GAUDI: A Neural Architect for Immersive 3D Scene Generation. CoRR Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Josh M. Susskind
2022	A*	`conf`	Learning Representation from Neural Fisher Kernel with Low-rank Approximation. ICLR Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Joshua M. Susskind
2022	J	`jnl`	Learning Representation from Neural Fisher Kernel with Low-rank Approximation. CoRR Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Josh M. Susskind
2022	A*	`conf`	Position Prediction as an Effective Pretraining Strategy. ICML Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y. Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
2022	J	`jnl`	Position Prediction as an Effective Pretraining Strategy. CoRR Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Yitan Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
2022	—	`conf`	Regularized Training of Nearest Neighbor Language Models. NAACL-HLT (Student Research Workshop) Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Joshua M. Susskind
2022	J	`jnl`	The Slingshot Mechanism: An Empirical Study of Adaptive Optimizers and the Grokking Phenomenon. CoRR Vimal Thilak, Etai Littwin, Shuangfei Zhai, Omid Saremi, Roni Paiss, Joshua M. Susskind
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	J	`jnl`	An Attention Free Transformer. CoRR Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh M. Susskind
2021	J	`jnl`	Implicit Acceleration and Feature Learning in Infinitely Wide Neural Networks with Bottlenecks. CoRR Etai Littwin, Omid Saremi, Shuangfei Zhai, Vimal Thilak, Hanlin Goh, Joshua M. Susskind, Greg Yang
2021	A*	`conf`	MetricOpt: Learning To Optimize Black-Box Evaluation Metrics. CVPR Chen Huang, Shuangfei Zhai, Pengsheng Guo, Josh M. Susskind
2021	J	`jnl`	MetricOpt: Learning to Optimize Black-Box Evaluation Metrics. CoRR Chen Huang, Shuangfei Zhai, Pengsheng Guo, Josh M. Susskind
2021	A	`conf`	On the generalization of learning-based 3D reconstruction. WACV Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind
2021	J	`jnl`	Regularized Training of Nearest Neighbor Language Models. CoRR Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Josh M. Susskind
2021	J	`jnl`	Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models. CoRR Nitish Srivastava, Walter Talbott, Martin Bertran Lopez, Shuangfei Zhai, Josh M. Susskind
2021	A*	`conf`	Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. ICML Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh
2021	J	`jnl`	Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. CoRR Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh
2020	A*	`conf`	Collegial Ensembles. NeurIPS Etai Littwin, Ben Myara, Sima Sabah, Joshua M. Susskind, Shuangfei Zhai, Oren Golan
2020	J	`jnl`	Collegial Ensembles. CoRR Etai Littwin, Ben Myara, Sima Sabah, Joshua M. Susskind, Shuangfei Zhai, Oren Golan
2020	J	`jnl`	On the generalization of learning-based 3D reconstruction. CoRR Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind
2020	J	`jnl`	Set Distribution Networks: a Generative Model for Sets of Images. CoRR Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Carlos Guestrin, Josh M. Susskind
2019	A*	`conf`	Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment. ICML Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind
2019	J	`jnl`	Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment. CoRR Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind
2019	A*	`conf`	Adversarial Fisher Vectors for Unsupervised Representation Learning. NeurIPS Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind
2019	J	`jnl`	Adversarial Fisher Vectors for Unsupervised Representation Learning. CoRR Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind
2019	—	`conf`	Efficient Network Representations Learning: An Edge-Centric Perspective. KSEM (2) Shichao Liu, Shuangfei Zhai, Lida Zhu, Fuxi Zhu, Zhongfei (Mark) Zhang, Wen Zhang
2019	J	`jnl`	Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking. CoRR Alaaeldin El-Nouby, Shuangfei Zhai, Graham W. Taylor, Joshua M. Susskind
2018	A	`conf`	Identity-based Adversarial Training of Deep CNNs for Facial Action Unit Recognition. BMVC Zheng Zhang, Shuangfei Zhai, Lijun Yin
2017	J	`jnl`	A Deep Learning Approach for Expert Identification in Question Answering Communities. CoRR Chen Zheng, Shuangfei Zhai, Zhongfei Zhang
2017	A*	`conf`	Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. ICDM Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu
2017	J	`jnl`	Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. CoRR Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu
2017	A*	`conf`	Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification. CVPR Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogério Schmidt Feris
2017	A*	`conf`	S3Pool: Pooling with Stochastic Spatial Sampling. CVPR Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogério Schmidt Feris
2017	A*	`conf`	Structural Correspondence Learning for Cross-Lingual Sentiment Classification with One-to-Many Mappings. AAAI Nana Li, Shuangfei Zhai, Zhongfei Zhang, Boying Liu
2016	—	`conf`	Attention Based Recurrent Neural Networks for Online Advertising. WWW (Companion Volume) Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei Zhang
2016	A*	`conf`	Deep Structured Energy Based Models for Anomaly Detection. ICML Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang
2016	J	`jnl`	Deep Structured Energy Based Models for Anomaly Detection. CoRR Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang
2016	A*	`conf`	DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks. KDD Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei (Mark) Zhang
2016	J	`jnl`	Design of reciprocal recommendation systems for online dating. Soc. Netw. Anal. Min. Peng Xia, Shuangfei Zhai, Benyuan Liu, Yizhou Sun, Cindy X. Chen
2016	—	`conf`	Doubly Convolutional Neural Networks. NIPS Shuangfei Zhai, Yu Cheng, Zhongfei (Mark) Zhang, Weining Lu
2016	J	`jnl`	Doubly Convolutional Neural Networks. CoRR Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang
2016	J	`jnl`	Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification. CoRR Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogério Schmidt Feris
2016	J	`jnl`	Generative Adversarial Networks as Variational Training of Energy Based Models. CoRR Shuangfei Zhai, Yu Cheng, Rogério Schmidt Feris, Zhongfei Zhang
2016	J	`jnl`	S3Pool: Pooling with Stochastic Spatial Sampling. CoRR Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogério Schmidt Feris
2016	A*	`conf`	Semisupervised Autoencoder for Sentiment Analysis. AAAI Shuangfei Zhai, Zhongfei (Mark) Zhang
2016	J	`jnl`	Structural Correspondence Learning for Cross-lingual Sentiment Classification with One-to-many Mappings. CoRR Nana Li, Shuangfei Zhai, Zhongfei Zhang, Boying Liu
2015	A	`conf`	Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs. SDM Shuangfei Zhai, Zhongfei (Mark) Zhang
2015	J	`jnl`	Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs. CoRR Shuangfei Zhai, Zhongfei Zhang
2015	J	`jnl`	Manifold Regularized Discriminative Neural Networks. CoRR Shuangfei Zhai, Zhongfei Zhang
2015	J	`jnl`	Semisupervised Autoencoder for Sentiment Analysis. CoRR Shuangfei Zhai, Zhongfei Zhang