Folgen
Yige Yuan
Titel
Zitiert von
Zitiert von
Jahr
A new GNSS spoofing detection method using two antennas
J Chen, Y Xu, H Yuan, Y Yuan
242020
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective
Y Yuan, B Xu, H Shen, Q Cao, K Cen, W Zheng, X Cheng
Neural Networks (NN) 2024, 2022
152022
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
L Hou, Q Cao, Y Yuan, S Zhao, C Ma, S Pan, P Wan, Z Wang, H Shen, ...
NeurIPS 2023, 2022
102022
TEA: Test-time Energy Adaptation
Y Yuan, B Xu, L Hou, F Sun, H Shen, X Cheng
CVPR 2024, 2023
62023
Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment
T Xiao, Y Yuan, H Zhu, M Li, VG Honavar
NeurIPS 2024, 2024
52024
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective
T Xiao, M Li, Y Yuan, H Zhu, C Cui, VG Honavar
EMNLP 2024, 2024
42024
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion
Y Yuan, B Xu, B Lin, L Hou, F Sun, H Shen, X Cheng
AAAI 2024, 2023
32023
Fact-Level Confidence Calibration and Self-Correction
Y Yuan, B Xu, H Tan, F Sun, T Xiao, W Li, H Shen, X Cheng
arXiv preprint arXiv:2411.13343, 2024
12024
SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters
T Xiao, Y Yuan, Z Chen, M Li, S Liang, Z Ren, VG Honavar
arXiv preprint arXiv:2502.00883, 2025
2025
MITA: Bridging the Gap between Model and Data for Test-time Adaptation
Y Yuan, B Xu, T Xiao, L Hou, F Sun, H Shen, X Cheng
arXiv preprint arXiv:2410.09398, 2024
2024
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning
Z Wang, B Xu, Y Yuan, H Shen, X Cheng
SIGIR 2024, 2024
2024
History Driven Sampling for Scalable Graph Neural Networks
Y Li, B Xu, F Sun, Q Cao, Y Yuan, H Shen, X Cheng
DASFAA 2024, 2024
2024
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–12