Yizhe Zhu - RankMe

77 papers A* 20A 2B 2Misc 1Journal 48Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Minimax optimal differentially private synthetic data for smooth queries. CoRR Rundong Ding, Yiyun He, Yizhe Zhu
2026	J	`jnl`	Power-Law Spectrum of the Random Feature Model. CoRR Elliot Paquette, Ke Liang Xiao, Yizhe Zhu
2026	J	`jnl`	SMAL-pets: SMAL Based Avatars of Pets from Single Image. CoRR Piotr Borycki, Joanna Waczynska, Yizhe Zhu, Yongqiang Gao, Przemyslaw Spurek
2026	J	`jnl`	Wedge Sampling: Efficient Tensor Completion with Nearly-Linear Sample Complexity. CoRR Hengrui Luo, Anna Ma, Ludovic Stephan, Yizhe Zhu
2025	J	`jnl`	BEAR: Benchmarking and Enhancing Multimodal Language Models for Atomic Embodied Capabilities. CoRR Yu Qi, Haibo Zhao, Ziyu Guo, Siyuan Ma, Ziyan Chen, Yaokun Han, Renrui Zhang, Zitiantao Lin, Shiji Xin, Yijian Huang, Kai Cheng, Peiheng Wang, Jiazheng Liu, Jiayi Zhang, Yizhe Zhu, Wenqing Wang, Yiran Qin, Xupeng Zhu, Haojie Huang, Lawson L. S. Wong
2025	A*	`conf`	Community detection with the Bethe-Hessian. COLT Ludovic Stephan, Yizhe Zhu
2025	J	`jnl`	EquAct: An SE(3)-Equivariant Multi-Task Transformer for Open-Loop Robotic Manipulation. CoRR Xupeng Zhu, Yu Qi, Yizhe Zhu, Robin Walters, Robert Platt
2025	J	`jnl`	Generalizable Hierarchical Skill Learning via Object-Centric Representation. CoRR Haibo Zhao, Yu Qi, Boce Hu, Yizhe Zhu, Ziyan Chen, Heng Tian, Xupeng Zhu, Owen Howell, Haojie Huang, Robin Walters, Dian Wang, Robert Platt
2025	A*	`conf`	Hierarchical Equivariant Policy via Frame Transfer. ICML Haibo Zhao, Dian Wang, Yizhe Zhu, Xupeng Zhu, Owen Lewis Howell, Linfeng Zhao, Yaoyao Qian, Robin Walters, Robert Platt
2025	J	`jnl`	Hierarchical Equivariant Policy via Frame Transfer. CoRR Haibo Zhao, Dian Wang, Yizhe Zhu, Xupeng Zhu, Owen Howell, Linfeng Zhao, Yaoyao Qian, Robin Walters, Robert Platt
2025	A*	`conf`	Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity Extended Abstract. COLT Dominik Stöger, Yizhe Zhu
2025	J	`jnl`	Partial recovery and weak consistency in the non-uniform hypergraph stochastic block model. Comb. Probab. Comput. Ioana Dumitriu, Haixiao Wang, Yizhe Zhu
2025	J	`jnl`	Residual Rotation Correction using Tactile Equivariance. CoRR Yizhe Zhu, Zhang Ye, Boce Hu, Haibo Zhao, Yu Qi, Dian Wang, Robert Platt
2025	J	`jnl`	Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime. J. Mach. Learn. Res. Parthe Pandit, Zhichao Wang, Yizhe Zhu
2024	A*	`conf`	A non-backtracking method for long matrix and tensor completion. COLT Ludovic Stephan, Yizhe Zhu
2024	J	`jnl`	High-compressed deepfake video detection with contrastive spatiotemporal distillation. Neurocomputing Yizhe Zhu, Chunhui Zhang, Jialin Gao, Xin Sun, Zihan Rui, Xi Zhou
2024	A*	`conf`	MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion. ICML Di Chang, Yichun Shi, Quankai Gao, Hongyi Xu, Jessica Fu, Guoxian Song, Qing Yan, Yizhe Zhu, Xiao Yang, Mohammad Soleymani
2024	—	`conf`	MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation. ECCV (40) Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, Xiao Yang
2024	J	`jnl`	MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation. CoRR Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, Xiao Yang
2024	J	`jnl`	Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity. CoRR Dominik Stöger, Yizhe Zhu
2024	J	`jnl`	Online Differentially Private Synthetic Data Generation. CoRR Yiyun He, Roman Vershynin, Yizhe Zhu
2024	J	`jnl`	Universality of kernel random matrices and kernel regression in the quadratic regime. CoRR Parthe Pandit, Zhichao Wang, Yizhe Zhu
2023	B	`conf`	AVForensics: Audio-driven Deepfake Video Detection with Masking Strategy in Self-supervision. ICMR Yizhe Zhu, Jialin Gao, Xi Zhou
2023	A*	`conf`	Algorithmically Effective Differentially Private Synthetic Data. COLT Yiyun He, Roman Vershynin, Yizhe Zhu
2023	J	`jnl`	Algorithmically Effective Differentially Private Synthetic Data. CoRR Yiyun He, Roman Vershynin, Yizhe Zhu
2023	Misc	`conf`	Audio-Driven Talking Head Video Generation with Diffusion Model. ICASSP Yizhe Zhu, Chunhui Zhang, Qiong Liu, Xi Zhou
2023	J	`jnl`	Differentially private low-dimensional representation of high-dimensional data. CoRR Yiyun He, Thomas Strohmer, Roman Vershynin, Yizhe Zhu
2023	—	`conf`	Exploiting Multi-modal Fusion for Robust Face Representation Learning with Missing Modality. ICANN (2) Yizhe Zhu, Xin Sun, Xi Zhou
2023	J	`jnl`	Exploiting enhanced and robust RGB-D face representation via progressive multi-modal learning. Pattern Recognit. Lett. Yizhe Zhu, Jialin Gao, Tianshu Wu, Qiong Liu, Xi Zhou
2023	A	`conf`	Overparameterized Random Feature Regression with Nearly Orthogonal Data. AISTATS Zhichao Wang, Yizhe Zhu
2023	J	`jnl`	Robust Recovery of Low-Rank Matrices and Low-Tubal-Rank Tensors from Noisy Sketches. SIAM J. Matrix Anal. Appl. Anna Ma, Dominik Stöger, Yizhe Zhu
2023	A*	`conf`	Shifted Diffusion for Text-to-image Generation. CVPR Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu
2023	J	`jnl`	Sparse recovery properties of discrete random matrices. Comb. Probab. Comput. Asaf Ferber, Ashwin Sah, Mehtaab Sawhney, Yizhe Zhu
2023	J	`jnl`	Spectral gap-based deterministic tensor completion. CoRR Kameron Decker Harris, Oscar López, Angus Read, Yizhe Zhu
2023	J	`jnl`	Video Moment Retrieval via Comprehensive Relation-Aware Network. IEEE Trans. Circuits Syst. Video Technol. Xin Sun, Jialin Gao, Yizhe Zhu, Xuan Wang, Xi Zhou
2022	B	`conf`	Attention-guided Fine-grained Feature Learning For Robust Face Forgery Detection. ICPR Yizhe Zhu, Jialin Gao, Qiong Liu, Xi Zhou
2022	J	`jnl`	MagicVideo: Efficient Video Generation With Latent Diffusion Models. CoRR Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng
2022	J	`jnl`	Overparameterized random feature regression with nearly orthogonal data. CoRR Zhichao Wang, Yizhe Zhu
2022	J	`jnl`	Robust recovery of low-rank matrices and low-tubal-rank tensors from noisy sketches. CoRR Anna Ma, Dominik Stöger, Yizhe Zhu
2022	J	`jnl`	Shifted Diffusion for Text-to-image Generation. CoRR Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu
2022	A*	`conf`	Sparse random hypergraphs: Non-backtracking spectra and community detection. FOCS Ludovic Stephan, Yizhe Zhu
2021	J	`jnl`	Community detection in the sparse hypergraph stochastic block model. Random Struct. Algorithms Soumik Pal, Yizhe Zhu
2021	J	`jnl`	Deformed semicircle law and concentration of nonlinear random matrices for ultra-wide neural networks. CoRR Zhichao Wang, Yizhe Zhu
2021	J	`jnl`	Deterministic Tensor Completion with Hypergraph Expanders. SIAM J. Math. Data Sci. Kameron Decker Harris, Yizhe Zhu
2021	A*	`conf`	Self-Supervised Sketch-to-Image Synthesis. AAAI Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal
2021	J	`jnl`	Spectra of Random Regular Hypergraphs. Electron. J. Comb. Ioana Dumitriu, Yizhe Zhu
2021	A*	`conf`	TIME: Text and Image Mutual-Translation Adversarial Networks. AAAI Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal
2021	A*	`conf`	Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis. ICLR Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal
2021	J	`jnl`	Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis. CoRR Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal
2020	J	`jnl`	A graphon approach to limiting spectral distributions of Wigner-type matrices. Random Struct. Algorithms Yizhe Zhu
2020	A*	`conf`	Federated Adversarial Domain Adaptation. ICLR Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko
2020	A*	`conf`	OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. AAAI Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal
2020	A*	`conf`	S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation. CVPR Yizhe Zhu, Martin Renqiang Min, Asim Kadav, Hans Peter Graf
2020	J	`jnl`	S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation. CoRR Yizhe Zhu, Martin Renqiang Min, Asim Kadav, Hans Peter Graf
2020	J	`jnl`	Self-Supervised Sketch-to-Image Synthesis. CoRR Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal
2020	—	`conf`	Sketch-to-Art: Synthesizing Stylized Art Images from Sketches. ACCV (6) Bingchen Liu, Kunpeng Song, Yizhe Zhu, Ahmed Elgammal
2020	J	`jnl`	TIME: Text and Image Mutual-Translation Adversarial Networks. CoRR Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal
2019	A*	`conf`	AdaTransform: Adaptive Data Transformation. ICCV Zhiqiang Tang, Xi Peng, Tingfeng Li, Yizhe Zhu, Dimitris N. Metaxas
2019	J	`jnl`	Community Detection in the Sparse Hypergraph Stochastic Block Model. CoRR Soumik Pal, Yizhe Zhu
2019	J	`jnl`	Deterministic tensor completion with hypergraph expanders. CoRR Kameron Decker Harris, Yizhe Zhu
2019	J	`jnl`	Eigenvalues of the non-backtracking operator detached from the bulk. CoRR Simon Coste, Yizhe Zhu
2019	J	`jnl`	Federated Adversarial Domain Adaptation. CoRR Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko
2019	A*	`conf`	Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning. ICCV Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal
2019	J	`jnl`	Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning. CoRR Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal
2019	J	`jnl`	Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. CoRR Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal
2019	J	`jnl`	OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. CoRR Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal
2019	A*	`conf`	Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. NeurIPS Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal
2018	A*	`conf`	A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts. CVPR Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal
2018	A	`conf`	CU-Net: Coupled U-Nets. BMVC Zhiqiang Tang, Xi Peng, Shijie Geng, Yizhe Zhu, Dimitris N. Metaxas
2018	J	`jnl`	CU-Net: Coupled U-Nets. CoRR Zhiqiang Tang, Xi Peng, Shijie Geng, Yizhe Zhu, Dimitris N. Metaxas
2018	J	`jnl`	Exact Recovery in the Hypergraph Stochastic Block Model: a Spectral Algorithm. CoRR Sam Cole, Yizhe Zhu
2017	A*	`conf`	A Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras. ICCV Yizhe Zhu, Ahmed M. Elgammal
2017	J	`jnl`	A Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras. CoRR Yizhe Zhu, Ahmed M. Elgammal
2017	—	`conf`	Evaluating Data Resilience in CNNs from an Approximate Memory Perspective. ACM Great Lakes Symposium on VLSI Yuanchang Chen, Yizhe Zhu, Fei Qiao, Jie Han, Yuansheng Liu, Huazhong Yang
2017	J	`jnl`	Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts. CoRR Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Ahmed M. Elgammal
2017	A*	`conf`	Link the Head to the "Beak": Zero Shot Learning from Noisy Text Description at Part Precision. CVPR Mohamed Elhoseiny, Yizhe Zhu, Han Zhang, Ahmed M. Elgammal
2017	J	`jnl`	Link the head to the "beak": Zero Shot Learning from Noisy Text Description at Part Precision. CoRR Mohamed Elhoseiny, Yizhe Zhu, Han Zhang, Ahmed M. Elgammal