Oscar Leong - RankMe

28 papers A* 4Misc 3Journal 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Feature, Alignment, and Supervision in Category Learning: A Comparative Approach with Children and Neural Networks. CoRR Fanxiao Wani Qiu, Oscar Leong
2026	J	`jnl`	REAL: Regression-Aware Reinforcement Learning for LLM-as-a-Judge. CoRR Yasi Zhang, Tianyu Chen, Mingyuan Zhou, Oscar Leong, Ying Nian Wu, Michal Lukasik
2026	J	`jnl`	Riemannian AmbientFlow: Towards Simultaneous Manifold Learning and Generative Modeling from Corrupted Data. CoRR Willem Diepeveen, Oscar Leong
2026	J	`jnl`	What Makes a Good Example? Modeling Exemplar Selection with Neural Network Representations. CoRR Fanxiao Wani Qiu, Oscar Leong, Alexander LaTourrette
2025	J	`jnl`	A Recovery Theory for Diffusion Priors: Deterministic Analysis of the Implicit Prior Algorithm. CoRR Oscar Leong, Yann Traonmilin
2025	J	`jnl`	Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation. CoRR Tianyu Chen, Yasi Zhang, Zhendong Wang, Ying Nian Wu, Oscar Leong, Mingyuan Zhou
2025	J	`jnl`	EdiVal-Agent: An Object-Centric Framework for Automated, Scalable, Fine-Grained Evaluation of Multi-Turn Editing. CoRR Tianyu Chen, Yasi Zhang, Zhi Zhang, Peiyu Yu, Shu Wang, Zhendong Wang, Kevin Lin, Xiaofei Wang, Zhengyuan Yang, Linjie Li, Chung-Ching Lin, Jianwen Xie, Oscar Leong, Lijuan Wang, Ying Nian Wu, Mingyuan Zhou
2025	J	`jnl`	Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical Guarantees. CoRR Yasi Zhang, Oscar Leong
2025	J	`jnl`	Learning Regularization Functionals for Inverse Problems: A Comparative Study. CoRR Johannes Hertrich, Hok Shing Wong, Alexander Denker, Stanislas Ducotterd, Zhenghan Fang, Markus Haltmeier, Zeljko Kereta, Erich Kobler, Oscar Leong, Mohammad Sadegh Salehi, Carola-Bibiane Schönlieb, Johannes Schwab, Zakhar Shumaylov, Jeremias Sulam, German Shâma Wache, Martin Zach, Yasi Zhang, Matthias J. Ehrhardt, Sebastian Neumayer
2025	J	`jnl`	Restoration Score Distillation: From Corrupted Diffusion Pretraining to One-Step High-Quality Generation. CoRR Yasi Zhang, Tianyu Chen, Zhendong Wang, Ying Nian Wu, Mingyuan Zhou, Oscar Leong
2024	A*	`conf`	Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching. NeurIPS Yasi Zhang, Peiyu Yu, Yaxuan Zhu, Yingshan Chang, Feng Gao, Ying Nian Wu, Oscar Leong
2024	J	`jnl`	Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching. CoRR Yasi Zhang, Peiyu Yu, Yaxuan Zhu, Yingshan Chang, Feng Gao, Ying Nian Wu, Oscar Leong
2024	J	`jnl`	Score-Based Diffusion Models for Photoacoustic Tomography Image Reconstruction. CoRR Sreemanti Dey, Snigdha Saha, Berthy T. Feng, Manxiu Cui, Laure Delisle, Oscar Leong, Lihong V. Wang, Katherine L. Bouman
2024	Misc	`conf`	Score-based Diffusion Models for Photoacoustic Tomography Image Reconstruction. ICASSP Sreemanti Dey, Snigdha Saha, Berthy T. Feng, Manxiu Cui, Laure Delisle, Oscar Leong, Lihong V. Wang, Katherine L. Bouman
2024	A*	`conf`	The Star Geometry of Critic-Based Regularizer Learning. NeurIPS Oscar Leong, Eliza O'Reilly, Yong Sheng Soh
2024	J	`jnl`	The Star Geometry of Critic-Based Regularizer Learning. CoRR Oscar Leong, Eliza O'Reilly, Yong Sheng Soh
2023	Misc	`conf`	Alternating Phase Langevin Sampling with Implicit Denoiser Priors for Phase Retrieval. ICASSP Rohun Agrawal, Oscar Leong
2023	J	`jnl`	Discovering Structure From Corruption for Unsupervised Image Reconstruction. IEEE Trans. Computational Imaging Oscar Leong, Angela F. Gao, He Sun, Katherine L. Bouman
2023	J	`jnl`	Ill-Posed Image Reconstruction Without an Image Prior. CoRR Oscar Leong, Angela F. Gao, He Sun, Katherine L. Bouman
2023	Misc	`conf`	Image Reconstruction without Explicit Priors. ICASSP Angela F. Gao, Oscar Leong, He Sun, Katherine L. Bouman
2023	J	`jnl`	Image Reconstruction without Explicit Priors. CoRR Angela F. Gao, Oscar Leong, He Sun, Katherine L. Bouman
2022	J	`jnl`	Alternating Phase Langevin Sampling with Implicit Denoiser Priors for Phase Retrieval. CoRR Rohun Agrawal, Oscar Leong
2020	J	`jnl`	Compressive Phase Retrieval: Optimal Sample Complexity with Deep Generative Priors. CoRR Paul Hand, Oscar Leong, Vladislav Voroninski
2020	A*	`conf`	Invertible generative models for inverse problems: mitigating representation error and dataset bias. ICML Muhammad Asim, Max Daniels, Oscar Leong, Ali Ahmed, Paul Hand
2020	J	`jnl`	Optimal Sample Complexity of Gradient Descent for Amplitude Flow via Non-Lipschitz Matrix Concentration. CoRR Paul Hand, Oscar Leong, Vladislav Voroninski
2019	J	`jnl`	Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems. CoRR Oscar Leong, Wesam Sakla
2018	A*	`conf`	Phase Retrieval Under a Generative Prior. NeurIPS Paul Hand, Oscar Leong, Vladislav Voroninski
2018	J	`jnl`	Phase Retrieval Under a Generative Prior. CoRR Paul Hand, Oscar Leong, Vladislav Voroninski