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ORCIDYizhe Zhu
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2020 – today
- 2024
[j9]Yizhe Zhu
, Chunhui Zhang, Jialin Gao, Xin Sun, Zihan Rui, Xi Zhou:
High-compressed deepfake video detection with contrastive spatiotemporal distillation. Neurocomputing 565: 126872 (2024)- [c25]Ludovic Stephan, Yizhe Zhu:
A non-backtracking method for long matrix and tensor completion. COLT 2024: 4636-4690 - [c24]Di Chang, Yichun Shi, Quankai Gao, Hongyi Xu, Jessica Fu, Guoxian Song, Qing Yan, Yizhe Zhu, Xiao Yang, Mohammad Soleymani:
MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion. ICML 2024 - [i28]Yiyun He, Roman Vershynin, Yizhe Zhu:
Online Differentially Private Synthetic Data Generation. CoRR abs/2402.08012 (2024) - [i27]Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, Xiao Yang:
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation. CoRR abs/2404.05674 (2024) - [i26]Parthe Pandit, Zhichao Wang, Yizhe Zhu:
Universality of kernel random matrices and kernel regression in the quadratic regime. CoRR abs/2408.01062 (2024) - [i25]Dominik Stöger, Yizhe Zhu:
Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity. CoRR abs/2408.13276 (2024) - 2023
- [j8]Asaf Ferber, Ashwin Sah, Mehtaab Sawhney, Yizhe Zhu:
Sparse recovery properties of discrete random matrices. Comb. Probab. Comput. 32(2): 316-325 (2023) - [j7]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: 38-45 (2023) - [j6]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): 1566-1588 (2023) - [j5]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): 5281-5295 (2023) - [c23]Zhichao Wang, Yizhe Zhu:
Overparameterized Random Feature Regression with Nearly Orthogonal Data. AISTATS 2023: 8463-8493 - [c22]Yiyun He, Roman Vershynin, Yizhe Zhu:
Algorithmically Effective Differentially Private Synthetic Data. COLT 2023: 3941-3968 - [c21]Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu:
Shifted Diffusion for Text-to-image Generation. CVPR 2023: 10157-10166 - [c20]Yizhe Zhu, Xin Sun, Xi Zhou:
Exploiting Multi-modal Fusion for Robust Face Representation Learning with Missing Modality. ICANN (2) 2023: 283-294 - [c19]Yizhe Zhu, Chunhui Zhang, Qiong Liu, Xi Zhou:
Audio-Driven Talking Head Video Generation with Diffusion Model. ICASSP 2023: 1-5 - [c18]Yizhe Zhu, Jialin Gao, Xi Zhou:
AVForensics: Audio-driven Deepfake Video Detection with Masking Strategy in Self-supervision. ICMR 2023: 162-171 - [i24]Yiyun He, Roman Vershynin, Yizhe Zhu:
Algorithmically Effective Differentially Private Synthetic Data. CoRR abs/2302.05552 (2023) - [i23]Yiyun He, Thomas Strohmer, Roman Vershynin, Yizhe Zhu:
Differentially private low-dimensional representation of high-dimensional data. CoRR abs/2305.17148 (2023) - [i22]Kameron Decker Harris, Oscar López, Angus Read, Yizhe Zhu:
Spectral gap-based deterministic tensor completion. CoRR abs/2306.06262 (2023) - 2022
- [c17]Ludovic Stephan, Yizhe Zhu:
Sparse random hypergraphs: Non-backtracking spectra and community detection. FOCS 2022: 567-575 - [c16]Yizhe Zhu, Jialin Gao, Qiong Liu, Xi Zhou:
Attention-guided Fine-grained Feature Learning For Robust Face Forgery Detection. ICPR 2022: 1222-1228 - [i21]Anna Ma, Dominik Stöger, Yizhe Zhu:
Robust recovery of low-rank matrices and low-tubal-rank tensors from noisy sketches. CoRR abs/2206.00803 (2022) - [i20]Zhichao Wang, Yizhe Zhu:
Overparameterized random feature regression with nearly orthogonal data. CoRR abs/2211.06077 (2022) - [i19]Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng:
MagicVideo: Efficient Video Generation With Latent Diffusion Models. CoRR abs/2211.11018 (2022) - [i18]Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu:
Shifted Diffusion for Text-to-image Generation. CoRR abs/2211.15388 (2022) - 2021
- [j4]Ioana Dumitriu, Yizhe Zhu:
Spectra of Random Regular Hypergraphs. Electron. J. Comb. 28(3) (2021) - [j3]Soumik Pal, Yizhe Zhu:
Community detection in the sparse hypergraph stochastic block model. Random Struct. Algorithms 59(3): 407-463 (2021) - [j2]Kameron Decker Harris, Yizhe Zhu:
Deterministic Tensor Completion with Hypergraph Expanders. SIAM J. Math. Data Sci. 3(4): 1117-1140 (2021) - [c15]Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal:
Self-Supervised Sketch-to-Image Synthesis. AAAI 2021: 2073-2081 - [c14]Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal:
TIME: Text and Image Mutual-Translation Adversarial Networks. AAAI 2021: 2082-2090 - [c13]Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal:
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis. ICLR 2021 - [i17]Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal:
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis. CoRR abs/2101.04775 (2021) - [i16]Zhichao Wang, Yizhe Zhu:
Deformed semicircle law and concentration of nonlinear random matrices for ultra-wide neural networks. CoRR abs/2109.09304 (2021) - 2020
- [j1]Yizhe Zhu:
A graphon approach to limiting spectral distributions of Wigner-type matrices. Random Struct. Algorithms 56(1): 251-279 (2020) - [c12]Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal:
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. AAAI 2020: 4836-4843 - [c11]Bingchen Liu, Kunpeng Song, Yizhe Zhu, Ahmed Elgammal:
Sketch-to-Art: Synthesizing Stylized Art Images from Sketches. ACCV (6) 2020: 207-222 - [c10]Yizhe Zhu, Martin Renqiang Min, Asim Kadav, Hans Peter Graf:
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation. CVPR 2020: 6537-6546 - [c9]Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko:
Federated Adversarial Domain Adaptation. ICLR 2020 - [i15]Yizhe Zhu, Martin Renqiang Min, Asim Kadav, Hans Peter Graf:
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation. CoRR abs/2005.11437 (2020) - [i14]Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal:
TIME: Text and Image Mutual-Translation Adversarial Networks. CoRR abs/2005.13192 (2020) - [i13]Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal:
Self-Supervised Sketch-to-Image Synthesis. CoRR abs/2012.09290 (2020)
2010 – 2019
- 2019
- [c8]Zhiqiang Tang, Xi Peng, Tingfeng Li, Yizhe Zhu, Dimitris N. Metaxas:
AdaTransform: Adaptive Data Transformation. ICCV 2019: 2998-3006 - [c7]Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal:
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning. ICCV 2019: 9843-9853 - [c6]Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal:
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. NeurIPS 2019: 14917-14927 - [i12]Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal:
Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. CoRR abs/1903.00502 (2019) - [i11]Soumik Pal, Yizhe Zhu:
Community Detection in the Sparse Hypergraph Stochastic Block Model. CoRR abs/1904.05981 (2019) - [i10]Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal:
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning. CoRR abs/1904.10056 (2019) - [i9]Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal:
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. CoRR abs/1905.10836 (2019) - [i8]Simon Coste, Yizhe Zhu:
Eigenvalues of the non-backtracking operator detached from the bulk. CoRR abs/1907.05603 (2019) - [i7]Kameron Decker Harris, Yizhe Zhu:
Deterministic tensor completion with hypergraph expanders. CoRR abs/1910.10692 (2019) - [i6]Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko:
Federated Adversarial Domain Adaptation. CoRR abs/1911.02054 (2019) - 2018
- [c5]Zhiqiang Tang, Xi Peng, Shijie Geng, Yizhe Zhu, Dimitris N. Metaxas:
CU-Net: Coupled U-Nets. BMVC 2018: 305 - [c4]Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal:
A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts. CVPR 2018: 1004-1013 - [i5]Zhiqiang Tang, Xi Peng, Shijie Geng, Yizhe Zhu, Dimitris N. Metaxas:
CU-Net: Coupled U-Nets. CoRR abs/1808.06521 (2018) - [i4]Sam Cole, Yizhe Zhu:
Exact Recovery in the Hypergraph Stochastic Block Model: a Spectral Algorithm. CoRR abs/1811.06931 (2018) - 2017
- [c3]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: 6288-6297 - [c2]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: 89-94 - [c1]Yizhe Zhu, Ahmed M. Elgammal:
A Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras. ICCV 2017: 5142-5151 - [i3]Yizhe Zhu, Ahmed M. Elgammal:
A Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras. CoRR abs/1709.01140 (2017) - [i2]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 abs/1709.01148 (2017) - [i1]Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Ahmed M. Elgammal:
Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts. CoRR abs/1712.01381 (2017)
Coauthor Index
aka: Ahmed Elgammal
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last updated on 2024-10-23 20:36 CEST by the dblp team
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