| 2026 | COLT | Minimax optimal differentially private synthetic data for smooth queries. | Rundong Ding, Yiyun He, Yizhe Zhu |
| 2026 | COLT | Wedge Sampling: Efficient Tensor Completion with Nearly-Linear Sample Complexity. | Hengrui Luo, Anna Ma, Ludovic Stephan, Yizhe Zhu |
| 2025 | COLT | Community detection with the Bethe-Hessian. | Ludovic Stephan, Yizhe Zhu |
| 2025 | COLT | Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity Extended Abstract. | Dominik Stger, Yizhe Zhu |
| 2025 | ICML | Hierarchical Equivariant Policy via Frame Transfer. | Haibo Zhao, Dian Wang, Yizhe Zhu, Xupeng Zhu, Owen Lewis Howell, Linfeng Zhao, Yaoyao Qian, Robin Walters, Robert Platt |
| 2024 | COLT | A non-backtracking method for long matrix and tensor completion. | Ludovic Stephan, Yizhe Zhu |
| 2024 | ECCV | MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation. | Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, Xiao Yang |
| 2024 | ICML | MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion. | Di Chang, Yichun Shi, Quankai Gao, Hongyi Xu, Jessica Fu, Guoxian Song, Qing Yan, Yizhe Zhu, Xiao Yang, Mohammad Soleymani |
| 2023 | AISTATS | Overparameterized Random Feature Regression with Nearly Orthogonal Data. | Zhichao Wang, Yizhe Zhu |
| 2023 | COLT | Algorithmically Effective Differentially Private Synthetic Data. | Yiyun He, Roman Vershynin, Yizhe Zhu |
| 2023 | CVPR | Shifted Diffusion for Text-to-image Generation. | Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu |
| 2023 | ICANN | Exploiting Multi-modal Fusion for Robust Face Representation Learning with Missing Modality. | Yizhe Zhu, Xin Sun, Xi Zhou |
| 2023 | ICASSP | Audio-Driven Talking Head Video Generation with Diffusion Model. | Yizhe Zhu, Chunhui Zhang, Qiong Liu, Xi Zhou |
| 2022 | FOCS | Sparse random hypergraphs: Non-backtracking spectra and community detection. | Ludovic Stephan, Yizhe Zhu |
| 2022 | ICPR | Attention-guided Fine-grained Feature Learning For Robust Face Forgery Detection. | Yizhe Zhu, Jialin Gao, Qiong Liu, Xi Zhou |
| 2021 | AAAI | TIME: Text and Image Mutual-Translation Adversarial Networks. | Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal |
| 2021 | AAAI | Self-Supervised Sketch-to-Image Synthesis. | Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal |
| 2021 | ICLR | Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis. | Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal |
| 2020 | AAAI | OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. | Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal |
| 2020 | ACCV | Sketch-to-Art: Synthesizing Stylized Art Images from Sketches. | Bingchen Liu, Kunpeng Song, Yizhe Zhu, Ahmed Elgammal |
| 2020 | CVPR | S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation. | Yizhe Zhu, Martin Renqiang Min, Asim Kadav, Hans Peter Graf |
| 2020 | ICLR | Federated Adversarial Domain Adaptation. | Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko |
| 2019 | ICCV | AdaTransform: Adaptive Data Transformation. | Zhiqiang Tang, Xi Peng, Tingfeng Li, Yizhe Zhu, Dimitris N. Metaxas |
| 2019 | ICCV | Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning. | Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal |
| 2018 | BMVC | CU-Net: Coupled U-Nets. | Zhiqiang Tang, Xi Peng, Shijie Geng, Yizhe Zhu, Dimitris N. Metaxas |
| 2018 | CVPR | A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts. | Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal |
| 2017 | CVPR | Link the Head to the "Beak": Zero Shot Learning from Noisy Text Description at Part Precision. | Mohamed Elhoseiny, Yizhe Zhu, Han Zhang, Ahmed M. Elgammal |
| 2017 | ICCV | A Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras. | Yizhe Zhu, Ahmed M. Elgammal |