Du, Yuxuan

14 publications

NeurIPS 2025 AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation Xinbiao Wang, Yuxuan Du, Zihan Lou, Yang Qian, Kaining Zhang, Yong Luo, Bo Du, Dacheng Tao
NeurIPS 2025 PALQO: Physics-Informed Model for Accelerating Large-Scale Quantum Optimization Yiming Huang, Yajie Hao, Yuxuan Du, Jing Zhou, Xiao Yuan, Xiaoting Wang
ICML 2025 Rethink the Role of Deep Learning Towards Large-Scale Quantum Systems Yusheng Zhao, Chi Zhang, Yuxuan Du
NeurIPS 2025 TITAN: A Trajectory-Informed Technique for Adaptive Parameter Freezing in Large-Scale VQE Yifeng Peng, Xinyi Li, Samuel Yen-Chi Chen, Kaining Zhang, Zhiding Liang, Ying Wang, Yuxuan Du
ICML 2024 CaM: Cache Merging for Memory-Efficient LLMs Inference Yuxin Zhang, Yuxuan Du, Gen Luo, Yunshan Zhong, Zhenyu Zhang, Shiwei Liu, Rongrong Ji
NeurIPS 2024 MG-Net: Learn to Customize QAOA with Circuit Depth Awareness Yang Qian, Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao
ICLR 2024 Neural Auto-Designer for Enhanced Quantum Kernels Cong Lei, Yuxuan Du, Peng Mi, Jun Yu, Tongliang Liu
ICCV 2023 Holistic Label Correction for Noisy Multi-Label Classification Xiaobo Xia, Jiankang Deng, Wei Bao, Yuxuan Du, Bo Han, Shiguang Shan, Tongliang Liu
ICLR 2023 Symmetric Pruning in Quantum Neural Networks Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao
ICML 2023 Which Is Better for Learning with Noisy Labels: The Semi-Supervised Method or Modeling Label Noise? Yu Yao, Mingming Gong, Yuxuan Du, Jun Yu, Bo Han, Kun Zhang, Tongliang Liu
NeurIPS 2022 Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization De Cheng, Yixiong Ning, Nannan Wang, Xinbo Gao, Heng Yang, Yuxuan Du, Bo Han, Tongliang Liu
CVPR 2022 DyRep: Bootstrapping Training with Dynamic Re-Parameterization Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu
NeurIPS 2022 RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-Supervised Learning Yingbin Bai, Erkun Yang, Zhaoqing Wang, Yuxuan Du, Bo Han, Cheng Deng, Dadong Wang, Tongliang Liu
IJCAI 2018 Quantum Divide-and-Conquer Anchoring for Separable Non-Negative Matrix Factorization Yuxuan Du, Tongliang Liu, Yinan Li, Runyao Duan, Dacheng Tao