publications

Please see Google Scholar for more recent works and arXiv papers.

2026

  1. ICLR
    EdiVal-Agent: An Object-Centric Framework for Automated, Scalable, Fine-Grained Evaluation of Multi-Turn Editing
    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**, and Mingyuan Zhou**
    In International Conference on Learning Representations 2026
    PDF Blog Website
  2. ICLR
    Score Distillation Beyond Acceleration: Generative Modeling from Corrupted Data
    Yasi Zhang*, Tianyu Chen*, Zhendong Wang, Ying Nian Wu, Mingyuan Zhou**, and Oscar Leong**
    In International Conference on Learning Representations 2026
    PDF
  3. ICLR
    Noiser Noise Contrastive Estimation is almost Maximum Likelihood
    Peiyu Yu, Dinghuai Zhang, Hengzhi He, Xiaojian Ma, Ruiyao Miao, Yifan Lu, Yasi Zhang, Deqian Kong, Ruiqi Gao, Jianwen Xie, Guang Cheng, and Ying Nian Wu
    In International Conference on Learning Representations 2026
    PDF

2025

  1. Book Chapter
    Learning Regularization Functionals for Inverse Problems: A Comparative Study
    Johannes Hertrich*, Hok Shing Wong*, Alexander Denker, Stanislas Ducotterd, Zhenghan Fang, Markus Haltmeier, Željko 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**, and Sebastian Neumayer**
    2025
    PDF Code
  2. Preprint
    Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical Guarantees
    Yasi Zhang, and Oscar Leong
    2025
    PDF
  3. AISTATS
    Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayesian Theory
    Zhi Zhang, Chris Chow, Yasi Zhang, Yanchao Sun, Haochen Zhang, Eric Hanchen Jiang, Han Liu, Furong Huang, Yuchen Cui, and Oscar Hernan Madrid Padilla
    In International Conference on Artificial Intelligence and Statistics 2025
    PDF

2024

  1. arXiv
    Think Twice Before You Act: Improving Inverse Problem Solving With MCMC
    Yaxuan Zhu, Zehao Dou, Haoxin Zheng, Yasi Zhang, Ying Nian Wu, and Ruiqi Gao
    2024
    PDF
  2. NeurIPS
    Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
    Yasi Zhang, Peiyu Yu, Yaxuan Zhu, Yingshan Chang, Feng Gao, Ying Nian Wu, and Oscar Leong
    In Neural Information Processing Systems 2024
    PDF
  3. ECCV
    Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion Models
    Yasi Zhang, Peiyu Yu, and Ying Nian Wu
    In European Conference on Computer Vision 2024
    PDF
  4. ECCV
    Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation
    Yingshan Chang, Yasi Zhang, Zhiyuan Fang, Yingnian Wu, Yonatan Bisk, and Feng Gao
    In European Conference on Computer Vision 2024
    PDF
  5. SynData4CV
    Object-Conditioned Energy-Based Model for Attention Map Alignment in Text-to-Image Diffusion Models
    Yasi Zhang, Peiyu Yu, and Ying Nian Wu
    In Synthetic Data for Computer Vision Workshop @ CVPR 2024
    PDF

2023

  1. ICASSP
    Transductive Matrix Completion with Calibration for Multi-Task Learning
    Hengfang Wang, Yasi Zhang, Xiaojun Mao, and Zhonglei Wang
    In International Conference on Acoustics, Speech, and Signal Processing 2023
    PDF