Link the Head to the "Beak": Zero Shot Learning from Noisy Text Description at Part Precision. - Mohamed Elhoseiny; Yizhe Zhu; Han Zhang 010; Ahmed M. Elgammal (CVPR, 2017)

Evaluating Data Resilience in CNNs from an Approximate Memory Perspective. - Yuanchang Chen; Yizhe Zhu; Fei Qiao; Jie Han 001; Yuansheng Liu; Huazhong Yang (ACM Great Lakes Symposium on VLSI, 2017)

A Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras. - Yizhe Zhu; Ahmed M. Elgammal (ICCV, 2017)

Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts. - Yizhe Zhu; Mohamed Elhoseiny; Bingchen Liu; Ahmed M. Elgammal (CoRR, 2017)

CU-Net: Coupled U-Nets. - Zhiqiang Tang 001; Xi Peng 005; Shijie Geng; Yizhe Zhu; Dimitris N. Metaxas (BMVC, 2018)

A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts. - Yizhe Zhu; Mohamed Elhoseiny; Bingchen Liu; Xi Peng 005; Ahmed Elgammal (CVPR, 2018)

Exact Recovery in the Hypergraph Stochastic Block Model: a Spectral Algorithm. - Sam Cole; Yizhe Zhu (CoRR, 2018)

AdaTransform: Adaptive Data Transformation. - Zhiqiang Tang 001; Xi Peng 005; Tingfeng Li; Yizhe Zhu; Dimitris N. Metaxas (ICCV, 2019)

Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning. - Yizhe Zhu; Jianwen Xie; Bingchen Liu; Ahmed Elgammal (ICCV, 2019)

Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. - Yizhe Zhu; Jianwen Xie; Zhiqiang Tang 001; Xi Peng 005; Ahmed Elgammal (NeurIPS, 2019)

Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. - Yizhe Zhu; Jianwen Xie; Zhiqiang Tang 001; Xi Peng 005; Ahmed Elgammal (CoRR, 2019)

Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning. - Yizhe Zhu; Jianwen Xie; Bingchen Liu; Ahmed Elgammal (CoRR, 2019)

Eigenvalues of the non-backtracking operator detached from the bulk. - Simon Coste; Yizhe Zhu (CoRR, 2019)

OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. - Bingchen Liu; Yizhe Zhu; Zuohui Fu; Gerard de Melo; Ahmed Elgammal (AAAI, 2020)

Sketch-to-Art: Synthesizing Stylized Art Images from Sketches. - Bingchen Liu; Kunpeng Song; Yizhe Zhu; Ahmed Elgammal (ACCV (6), 2020)

S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation. - Yizhe Zhu; Martin Renqiang Min; Asim Kadav; Hans Peter Graf (CVPR, 2020)

Federated Adversarial Domain Adaptation. - Xingchao Peng; Zijun Huang; Yizhe Zhu; Kate Saenko (ICLR, 2020)

A graphon approach to limiting spectral distributions of Wigner-type matrices. - Yizhe Zhu (Random Struct. Algorithms, 2020)

TIME: Text and Image Mutual-Translation Adversarial Networks. - Bingchen Liu; Kunpeng Song; Yizhe Zhu; Gerard de Melo; Ahmed Elgammal (AAAI, 2021)

Self-Supervised Sketch-to-Image Synthesis. - Bingchen Liu; Yizhe Zhu; Kunpeng Song; Ahmed Elgammal (AAAI, 2021)

Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis. - Bingchen Liu; Yizhe Zhu; Kunpeng Song; Ahmed Elgammal (ICLR, 2021)

Spectra of Random Regular Hypergraphs. - Ioana Dumitriu; Yizhe Zhu (Electron. J. Comb., 2021)

Deformed semicircle law and concentration of nonlinear random matrices for ultra-wide neural networks. - Zhichao Wang; Yizhe Zhu (CoRR, 2021)

Community detection in the sparse hypergraph stochastic block model. - Soumik Pal; Yizhe Zhu (Random Struct. Algorithms, 2021)

Deterministic Tensor Completion with Hypergraph Expanders. - Kameron Decker Harris; Yizhe Zhu (SIAM J. Math. Data Sci., 2021)

Sparse random hypergraphs: Non-backtracking spectra and community detection. - Ludovic Stephan; Yizhe Zhu (FOCS, 2022)

Attention-guided Fine-grained Feature Learning For Robust Face Forgery Detection. - Yizhe Zhu; Jialin Gao; Qiong Liu; Xi Zhou (ICPR, 2022)

MagicVideo: Efficient Video Generation With Latent Diffusion Models. - Daquan Zhou; Weimin Wang; Hanshu Yan; Weiwei Lv; Yizhe Zhu; Jiashi Feng (CoRR, 2022)

Overparameterized Random Feature Regression with Nearly Orthogonal Data. - Zhichao Wang; Yizhe Zhu (AISTATS, 2023)

Algorithmically Effective Differentially Private Synthetic Data. - Yiyun He; Roman Vershynin; Yizhe Zhu (COLT, 2023)

Shifted Diffusion for Text-to-image Generation. - Yufan Zhou 001; Bingchen Liu; Yizhe Zhu; Xiao Yang; Changyou Chen; Jinhui Xu 001 (CVPR, 2023)

Exploiting Multi-modal Fusion for Robust Face Representation Learning with Missing Modality. - Yizhe Zhu; Xin Sun; Xi Zhou (ICANN (2), 2023)

Audio-Driven Talking Head Video Generation with Diffusion Model. - Yizhe Zhu; Chunhui Zhang; Qiong Liu; Xi Zhou (ICASSP, 2023)

AVForensics: Audio-driven Deepfake Video Detection with Masking Strategy in Self-supervision. - Yizhe Zhu; Jialin Gao; Xi Zhou (ICMR, 2023)

Differentially private low-dimensional representation of high-dimensional data. - Yiyun He; Thomas Strohmer; Roman Vershynin; Yizhe Zhu (CoRR, 2023)

Spectral gap-based deterministic tensor completion. - Kameron Decker Harris; Oscar López; Angus Read; Yizhe Zhu (CoRR, 2023)

Exploiting enhanced and robust RGB-D face representation via progressive multi-modal learning. - Yizhe Zhu; Jialin Gao; Tianshu Wu; Qiong Liu; Xi Zhou (Pattern Recognit. Lett., 2023)

Sparse recovery properties of discrete random matrices. - Asaf Ferber; Ashwin Sah; Mehtaab Sawhney; Yizhe Zhu (Comb. Probab. Comput., 2023)

Video Moment Retrieval via Comprehensive Relation-Aware Network. - Xin Sun; Jialin Gao; Yizhe Zhu; Xuan Wang; Xi Zhou (IEEE Trans. Circuits Syst. Video Technol., 2023)

Robust Recovery of Low-Rank Matrices and Low-Tubal-Rank Tensors from Noisy Sketches. - Anna Ma; Dominik Stöger; Yizhe Zhu (SIAM J. Matrix Anal. Appl., 2023)

A non-backtracking method for long matrix and tensor completion. - Ludovic Stephan; Yizhe Zhu (COLT, 2024)

MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation. - Kunpeng Song; Yizhe Zhu; Bingchen Liu; Qing Yan; Ahmed Elgammal; Xiao Yang (ECCV (40), 2024)

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 001 (ICML, 2024)

Online Differentially Private Synthetic Data Generation. - Yiyun He; Roman Vershynin; Yizhe Zhu (CoRR, 2024)

Universality of kernel random matrices and kernel regression in the quadratic regime. - Parthe Pandit; Zhichao Wang; Yizhe Zhu (CoRR, 2024)

Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity. - Dominik Stöger; Yizhe Zhu (CoRR, 2024)

High-compressed deepfake video detection with contrastive spatiotemporal distillation. - Yizhe Zhu; Chunhui Zhang; Jialin Gao; Xin Sun; Zihan Rui; Xi Zhou (Neurocomputing, 2024)

Community detection with the Bethe-Hessian. - Ludovic Stephan; Yizhe Zhu (COLT, 2025)

Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity Extended Abstract. - Dominik Stöger; Yizhe Zhu (COLT, 2025)

Partial recovery and weak consistency in the non-uniform hypergraph stochastic block model. - Ioana Dumitriu; Haixiao Wang; Yizhe Zhu (Comb. Probab. Comput., 2025)

Hierarchical Equivariant Policy via Frame Transfer. - Haibo Zhao; Dian Wang 001; Yizhe Zhu; Xupeng Zhu; Owen Howell; Linfeng Zhao; Yaoyao Qian; Robin Walters 001; Robert Platt 001 (CoRR, 2025)

EquAct: An SE(3)-Equivariant Multi-Task Transformer for Open-Loop Robotic Manipulation. - Xupeng Zhu; Yu Qi; Yizhe Zhu; Robin Walters 001; Robert Platt 001 (CoRR, 2025)