Zhang, Yizhe

56 publications

ICLR 2025 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

NeurIPS 2025 Flexible Language Modeling in Continuous Space with Transformer-Based Autoregressive Flows Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu, Yizhe Zhang, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Joshua M. Susskind, Navdeep Jaitly

TMLR 2025 Improving GFlowNets for Text-to-Image Diffusion Alignment Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Joshua M. Susskind, Navdeep Jaitly, Shuangfei Zhai

ICLR 2025 OpenHands: An Open Platform for AI Software Developers as Generalist Agents Xingyao Wang, Boxuan Li, Yufan Song, Frank F. Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H. Tran, Fuqiang Li, Ren Ma, Mingzhang Zheng, Bill Qian, Yanjun Shao, Niklas Muennighoff, Yizhe Zhang, Binyuan Hui, Junyang Lin, Robert Brennan, Hao Peng, Heng Ji, Graham Neubig

ICLR 2025 Scaling Diffusion Language Models via Adaptation from Autoregressive Models Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong

ICML 2025 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

ICML 2025 Training Software Engineering Agents and Verifiers with SWE-Gym Jiayi Pan, Xingyao Wang, Graham Neubig, Navdeep Jaitly, Heng Ji, Alane Suhr, Yizhe Zhang

ICLRW 2025 Training Software Engineering Agents and Verifiers with SWE-Gym Jiayi Pan, Xingyao Wang, Graham Neubig, Navdeep Jaitly, Heng Ji, Alane Suhr, Yizhe Zhang

ICML 2024 Data-Free Distillation of Diffusion Models with Bootstrapping Jiatao Gu, Chen Wang, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Joshua M. Susskind

ICML 2024 Executable Code Actions Elicit Better LLM Agents Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji

ICLRW 2024 Executable Code Actions Elicit Better LLM Agents Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji

ICLRW 2024 How Far Are We from Intelligent Visual Deductive Reasoning? Yizhe Zhang, He Bai, Ruixiang Zhang, Jiatao Gu, Shuangfei Zhai, Joshua M. Susskind, Navdeep Jaitly

ICMLW 2024 Improving GFlowNets for Text-to-Image Diffusion Alignment Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Joshua M. Susskind, Navdeep Jaitly, Shuangfei Zhai

ICMLW 2024 Improving GFlowNets for Text-to-Image Diffusion Alignment Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Joshua M. Susskind, Navdeep Jaitly, Shuangfei Zhai

NeurIPS 2024 Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Josh Susskind

ICMLW 2024 Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Joshua M. Susskind

ICMLW 2024 Many-to-Many Image Generation with Auto-Regressive Diffusion Models Ying Shen, Yizhe Zhang, Shuangfei Zhai, Lifu Huang, Joshua M. Susskind, Jiatao Gu

ICLR 2024 Matryoshka Diffusion Models Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Joshua M. Susskind, Navdeep Jaitly

ICLRW 2024 Probing the Multi-Turn Planning Capabilities of LLMs via 20 Question Games Yizhe Zhang, Jiarui Lu, Navdeep Jaitly

ICLRW 2024 Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling Pratyush Maini, Skyler Seto, He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly

ICMLW 2023 BOOT: Data-Free Distillation of Denoising Diffusion Models with Bootstrapping Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Joshua M. Susskind

ICLR 2023 F-DM: A Multi-Stage Diffusion Model via Progressive Signal Transformation Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Ángel Bautista, Joshua M. Susskind

NeurIPS 2023 PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Joshua Susskind, Navdeep Jaitly

ICML 2023 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

WACV 2022 AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation Yizhe Zhang, Shubhankar Borse, Hong Cai, Fatih Porikli

ICMLW 2022 Bridging the Training-Inference Gap for Dense Phrase Retrieval Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad, William Yang Wang

WACV 2022 Perceptual Consistency in Video Segmentation Yizhe Zhang, Shubhankar Borse, Hong Cai, Ying Wang, Ning Bi, Xiaoyun Jiang, Fatih Porikli

CVPR 2022 Real-Time, Accurate, and Consistent Video Semantic Segmentation via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device Hyojin Park, Alan Yessenbayev, Tushar Singhal, Navin Kumar Adhikari, Yizhe Zhang, Shubhankar Mangesh Borse, Hong Cai, Nilesh Prasad Pandey, Fei Yin, Frank Mayer, Balaji Calidas, Fatih Porikli

AAAI 2022 RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling Yizhe Zhang, Siqi Sun, Xiang Gao, Yuwei Fang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan

AAAI 2021 A Controllable Model of Grounded Response Generation Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Xiang Gao, Chris Quirk, Rik Koncel-Kedziorski, Jianfeng Gao, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan

AAAI 2021 Data Augmentation for Abstractive Query-Focused Multi-Document Summarization Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao

CVPR 2021 InverseForm: A Loss Function for Structured Boundary-Aware Segmentation Shubhankar Borse, Ying Wang, Yizhe Zhang, Fatih Porikli

ICLR 2020 Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation Xinjie Fan, Yizhe Zhang, Zhendong Wang, Mingyuan Zhou

AAAI 2020 An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training Hao Zheng, Yizhe Zhang, Lin Yang, Chaoli Wang, Danny Z. Chen

AAAI 2020 Complementary Auxiliary Classifiers for Label-Conditional Text Generation Yuan Li, Chunyuan Li, Yizhe Zhang, Xiujun Li, Guoqing Zheng, Lawrence Carin, Jianfeng Gao

AAAI 2020 Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin

NeurIPS 2020 Structured Convolutions for Efficient Neural Network Design Yash Bhalgat, Yizhe Zhang, Jamie Menjay Lin, Fatih Porikli

AAAI 2019 A New Ensemble Learning Framework for 3D Biomedical Image Segmentation Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen

AAAI 2019 Biomedical Image Segmentation via Representative Annotation Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen

ICLR 2019 Improving Sequence-to-Sequence Learning via Optimal Transport Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin

NeurIPS 2018 Adversarial Text Generation via Feature-Mover's Distance Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, Lawrence Carin

AAAI 2018 Deconvolutional Latent-Variable Model for Text Sequence Matching Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin

NeurIPS 2018 Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization Yizhe Zhang, Michel Galley, Jianfeng Gao, Zhe Gan, Xiujun Li, Chris Brockett, Bill Dolan

ICML 2018 JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin Duke

AAAI 2018 Zero-Shot Learning via Class-Conditioned Deep Generative Models Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin

ICML 2017 Adversarial Feature Matching for Text Generation Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin

NeurIPS 2017 Deconvolutional Paragraph Representation Learning Yizhe Zhang, Dinghan Shen, Guoyin Wang, Zhe Gan, Ricardo Henao, Lawrence Carin

ICML 2017 Stochastic Gradient Monomial Gamma Sampler Yizhe Zhang, Changyou Chen, Zhe Gan, Ricardo Henao, Lawrence Carin

NeurIPS 2017 Triangle Generative Adversarial Networks Zhe Gan, Liqun Chen, Weiyao Wang, Yuchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin

IJCAI 2016 Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks Yizhe Zhang, Ricardo Henao, Chunyuan Li, Lawrence Carin

NeurIPS 2016 Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation Jianxu Chen, Lin Yang, Yizhe Zhang, Mark Alber, Danny Z Chen

ECML-PKDD 2016 Laplacian Hamiltonian Monte Carlo Yizhe Zhang, Changyou Chen, Ricardo Henao, Lawrence Carin

AAAI 2016 Learning a Hybrid Architecture for Sequence Regression and Annotation Yizhe Zhang, Ricardo Henao, Lawrence Carin, Jianling Zhong, Alexander J. Hartemink

NeurIPS 2016 Stochastic Gradient MCMC with Stale Gradients Changyou Chen, Nan Ding, Chunyuan Li, Yizhe Zhang, Lawrence Carin

NeurIPS 2016 Towards Unifying Hamiltonian Monte Carlo and Slice Sampling Yizhe Zhang, Xiangyu Wang, Changyou Chen, Ricardo Henao, Kai Fan, Lawrence Carin

ICCV 2013 Random Faces Guided Sparse Many-to-One Encoder for Pose-Invariant Face Recognition Yizhe Zhang, Ming Shao, Edward K. Wong, Yun Fu