Ye, Xinyu

9 publications

ICLR 2025 Beyond Circuit Connections: A Non-Message Passing Graph Transformer Approach for Quantum Error Mitigation Tianyi Bao, Xinyu Ye, Hang Ruan, Chang Liu, Wenjie Wu, Junchi Yan

NeurIPS 2025 KRIS-Bench: Benchmarking Next-Level Intelligent Image Editing Models Yongliang Wu, Zonghui Li, Xinting Hu, Xinyu Ye, Xianfang Zeng, Gang Yu, Wenbo Zhu, Bernt Schiele, Ming-Hsuan Yang, Xu Yang

ICLR 2025 On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation Xinyu Ye, Hao Xiong, Jianhao Huang, Ziang Chen, Jia Wang, Junchi Yan

ICML 2025 QEM-Bench: Benchmarking Learning-Based Quantum Error Mitigation and QEMFormer as a Multi-Ranged Context Learning Baseline Tianyi Bao, Ruizhe Zhong, Xinyu Ye, Yehui Tang, Junchi Yan

IJCAI 2025 Tensor Network: From the Perspective of AI4Science and Science4AI Junchi Yan, Yehui Tang, Xinyu Ye, Hao Xiong, Xiaoqiu Zhong, Yuhan Wang, Yuan Qi

CVPR 2024 Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning Hao Xiong, Yehui Tang, Xinyu Ye, Junchi Yan

NeurIPS 2024 QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation Huanjin Wu, Xinyu Ye, Junchi Yan

CVPR 2023 Learning from Unique Perspectives: User-Aware Saliency Modeling Shi Chen, Nachiappan Valliappan, Shaolei Shen, Xinyu Ye, Kai Kohlhoff, Junfeng He

ICML 2023 Towards Quantum Machine Learning for Constrained Combinatorial Optimization: A Quantum QAP Solver Xinyu Ye, Ge Yan, Junchi Yan