Yizhe Zhu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 58

Top Topics

Image Generation

Diffusion Models

Background Subtraction

Top Venues

Publications

Ludovic Stephan, Yizhe Zhu
A non-backtracking method for long matrix and tensor completion. COLT (2024)
Yizhe Zhu, Chunhui Zhang, Jialin Gao, Xin Sun, Zihan Rui, Xi Zhou
High-compressed deepfake video detection with contrastive spatiotemporal distillation. Neurocomputing 565 (2024)
Yiyun He, Roman Vershynin, Yizhe Zhu
Online Differentially Private Synthetic Data Generation. CoRR (2024)
Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, Xiao Yang
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation. CoRR (2024)
Yiyun He, Roman Vershynin, Yizhe Zhu
Algorithmically Effective Differentially Private Synthetic Data. CoRR (2023)
Yizhe Zhu, Jialin Gao, Xi Zhou
AVForensics: Audio-driven Deepfake Video Detection with Masking Strategy in Self-supervision. ICMR (2023)
Yiyun He, Thomas Strohmer, Roman Vershynin, Yizhe Zhu
Differentially private low-dimensional representation of high-dimensional data. CoRR (2023)
Yizhe Zhu, Jialin Gao, Tianshu Wu, Qiong Liu, Xi Zhou
Exploiting enhanced and robust RGB-D face representation via progressive multi-modal learning. Pattern Recognit. Lett. 166 (2023)
Zhichao Wang, Yizhe Zhu
Overparameterized Random Feature Regression with Nearly Orthogonal Data. AISTATS (2023)
Xin Sun, Jialin Gao, Yizhe Zhu, Xuan Wang, Xi Zhou
Video Moment Retrieval via Comprehensive Relation-Aware Network. IEEE Trans. Circuits Syst. Video Technol. 33 (9) (2023)
Yiyun He, Roman Vershynin, Yizhe Zhu
Algorithmically Effective Differentially Private Synthetic Data. COLT (2023)
Yizhe Zhu, Chunhui Zhang, Qiong Liu, Xi Zhou
Audio-Driven Talking Head Video Generation with Diffusion Model. ICASSP (2023)
Kameron Decker Harris, Oscar López, Angus Read, Yizhe Zhu
Spectral gap-based deterministic tensor completion. CoRR (2023)
Anna Ma, Dominik Stöger, Yizhe Zhu
Robust Recovery of Low-Rank Matrices and Low-Tubal-Rank Tensors from Noisy Sketches. SIAM J. Matrix Anal. Appl. 44 (4) (2023)
Asaf Ferber, Ashwin Sah, Mehtaab Sawhney, Yizhe Zhu
Sparse recovery properties of discrete random matrices. Comb. Probab. Comput. 32 (2) (2023)
Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu
Shifted Diffusion for Text-to-image Generation. CVPR (2023)
Yizhe Zhu, Jialin Gao, Qiong Liu, Xi Zhou
Attention-guided Fine-grained Feature Learning For Robust Face Forgery Detection. ICPR (2022)
Zhichao Wang, Yizhe Zhu
Overparameterized random feature regression with nearly orthogonal data. CoRR (2022)
Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu
Shifted Diffusion for Text-to-image Generation. CoRR (2022)
Anna Ma, Dominik Stöger, Yizhe Zhu
Robust recovery of low-rank matrices and low-tubal-rank tensors from noisy sketches. CoRR (2022)
Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng
MagicVideo: Efficient Video Generation With Latent Diffusion Models. CoRR (2022)
Ludovic Stephan, Yizhe Zhu
Sparse random hypergraphs: Non-backtracking spectra and community detection. FOCS (2022)
Ioana Dumitriu, Yizhe Zhu
Spectra of Random Regular Hypergraphs. Electron. J. Comb. 28 (3) (2021)
Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis. ICLR (2021)
Kameron Decker Harris, Yizhe Zhu
Deterministic Tensor Completion with Hypergraph Expanders. SIAM J. Math. Data Sci. 3 (4) (2021)
Soumik Pal, Yizhe Zhu
Community detection in the sparse hypergraph stochastic block model. Random Struct. Algorithms 59 (3) (2021)
Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal
Self-Supervised Sketch-to-Image Synthesis. AAAI (2021)
Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis. CoRR (2021)
Zhichao Wang, Yizhe Zhu
Deformed semicircle law and concentration of nonlinear random matrices for ultra-wide neural networks. CoRR (2021)
Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal
TIME: Text and Image Mutual-Translation Adversarial Networks. AAAI (2021)
Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal
TIME: Text and Image Mutual-Translation Adversarial Networks. CoRR (2020)
Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal
Self-Supervised Sketch-to-Image Synthesis. CoRR (2020)
Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko
Federated Adversarial Domain Adaptation. ICLR (2020)
Yizhe Zhu, Martin Renqiang Min, Asim Kadav, Hans Peter Graf
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation. CoRR (2020)
Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. AAAI (2020)
Bingchen Liu, Kunpeng Song, Yizhe Zhu, Ahmed Elgammal
Sketch-to-Art: Synthesizing Stylized Art Images from Sketches. ACCV (6) (2020)
Yizhe Zhu
A graphon approach to limiting spectral distributions of Wigner-type matrices. Random Struct. Algorithms 56 (1) (2020)
Yizhe Zhu, Martin Renqiang Min, Asim Kadav, Hans Peter Graf
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation. CVPR (2020)
Zhiqiang Tang, Xi Peng, Tingfeng Li, Yizhe Zhu, Dimitris N. Metaxas
AdaTransform: Adaptive Data Transformation. ICCV (2019)
Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko
Federated Adversarial Domain Adaptation. CoRR (2019)
Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. CoRR (2019)
Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal
Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. CoRR (2019)
Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning. ICCV (2019)
Soumik Pal, Yizhe Zhu
Community Detection in the Sparse Hypergraph Stochastic Block Model. CoRR (2019)
Simon Coste, Yizhe Zhu
Eigenvalues of the non-backtracking operator detached from the bulk. CoRR (2019)
Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning. CoRR (2019)
Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. NeurIPS (2019)
Kameron Decker Harris, Yizhe Zhu
Deterministic tensor completion with hypergraph expanders. CoRR (2019)
Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal
A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts. CVPR (2018)
Sam Cole, Yizhe Zhu
Exact Recovery in the Hypergraph Stochastic Block Model: a Spectral Algorithm. CoRR (2018)
Zhiqiang Tang, Xi Peng, Shijie Geng, Yizhe Zhu, Dimitris N. Metaxas
CU-Net: Coupled U-Nets. BMVC (2018)
Zhiqiang Tang, Xi Peng, Shijie Geng, Yizhe Zhu, Dimitris N. Metaxas
CU-Net: Coupled U-Nets. CoRR (2018)
Yuanchang Chen, Yizhe Zhu, Fei Qiao, Jie Han, Yuansheng Liu, Huazhong Yang
Evaluating Data Resilience in CNNs from an Approximate Memory Perspective. ACM Great Lakes Symposium on VLSI (2017)
Mohamed Elhoseiny, Yizhe Zhu, Han Zhang, Ahmed M. Elgammal
Link the Head to the "Beak": Zero Shot Learning from Noisy Text Description at Part Precision. CVPR (2017)
Yizhe Zhu, Ahmed M. Elgammal
A Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras. ICCV (2017)
Yizhe Zhu, Ahmed M. Elgammal
A Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras. CoRR (2017)
Mohamed Elhoseiny, Yizhe Zhu, Han Zhang, Ahmed M. Elgammal
Link the head to the "beak": Zero Shot Learning from Noisy Text Description at Part Precision. CoRR (2017)
Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Ahmed M. Elgammal
Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts. CoRR (2017)