publications

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

2024

1. arXiv

   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

   2024

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2. 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
3. arXiv

   Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space

   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

   2024

   PDF
4. 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 NeurIPS 2024

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5. ECCV

   Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion Models

   Yasi Zhang, Peiyu Yu, and Ying Nian Wu

   In ECCV 2024

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6. 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 ECCV 2024

   PDF
7. 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 ICASSP 2023

   PDF