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Ximei Wang
Ximei Wang
Other names王 希梅
Tencent; Tsinghua University
Verified email at mails.tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
Minimum Class Confusion for Versatile Domain Adaptation
Y Jin, X Wang, M Long, J Wang
European Conference on Computer Vision (ECCV), 2020
3992020
Transferable attention for domain adaptation
X Wang, L Li, W Ye, M Long, J Wang
AAAI Conference on Artificial Intelligence (AAAI), 2019
3502019
Transferable normalization: Towards improving transferability of deep neural networks
X Wang, Y Jin, M Long, J Wang, MI Jordan
Advances in Neural Information Processing Systems (NeurIPS), 1953-1963, 2019
2282019
Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation
K You, X Wang, M Long, M Jordan
International Conference on Machine Learning (ICML), 7124-7133, 2019
1582019
Debiased Self-Training for Semi-Supervised Learning
B Chen, J Jiang, X Wang, P Wan, J Wang, M Long
Advances in Neural Information Processing Systems (NeurIPS), 2022
113*2022
Self-Tuning for Data-Efficient Deep Learning
X Wang, J Gao, J Wang, M Long
International Conference on Machine Learning (ICML), 2021
732021
Regressive domain adaptation for unsupervised keypoint detection
J Jiang, Y Ji, X Wang, Y Liu, J Wang, M Long
Computer Vision and Pattern Recognition (CVPR), 6780-6789, 2021
722021
CLIPood: Generalizing CLIP to Out-of-Distributions
Y Shu, X Guo, J Wu, X Wang, J Wang, M Long
International Conference on Machine Learning (ICML), 2023
632023
Transferable Calibration with Lower Bias and Variance in Domain Adaptation
X Wang, M Long, J Wang, MI Jordan
Advances in Neural Information Processing Systems (NeurIPS), 2020
562020
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning
E Yang, J Pan, X Wang, H Yu, L Shen, X Chen, L Xiao, J Jiang, G Guo
AAAI Conference on Artificial Intelligence (AAAI), 2022
462022
Resource efficient domain adaptation
J Jiang, X Wang, M Long, J Wang
Proceedings of the 28th ACM International Conference on Multimedia (ACMMM …, 2020
312020
Bi-Tuning: Efficient Transfer from Pre-Trained Models
J Zhong, H Ma, X Wang, Z Kou, M Long
European Conference on Machine Learning (ECML), 2023
28*2023
STEM: Unleashing the Power of Embeddings for Multi-task Recommendation
L Su, J Pan, X Wang, X Xiao, S Quan, X Chen, J Jiang
Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9002-9010, 2024
102024
On the Embedding Collapse when Scaling up Recommendation Models
X Guo, J Pan, X Wang, B Chen, J Jiang, M Long
arXiv preprint arXiv:2310.04400, 2023
102023
ForkMerge: Overcoming Negative Transfer in Multi-Task Learning
J Jiang, B Chen, J Pan, X Wang, L Dapeng, J Jiang, M Long
Advances in Neural Information Processing Systems (NeurIPS), 2023
92023
Ads recommendation in a collapsed and entangled world
J Pan, W Xue, X Wang, H Yu, X Liu, S Quan, X Qiu, D Liu, L Xiao, J Jiang
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
62024
Understanding the ranking loss for recommendation with sparse user feedback
Z Lin, J Pan, S Zhang, X Wang, X Xiao, S Huang, L Xiao, J Jiang
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
52024
One Fits Many: Class Confusion Loss for Versatile Domain Adaptation
Y Jin, Z Cao, X Wang, J Wang, M Long
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
22024
Long-Sequence Recommendation Models Need Decoupled Embeddings
N Feng, J Pan, J Wu, B Chen, X Wang, Q Li, X Hu, J Jiang, M Long
arXiv preprint arXiv:2410.02604, 2024
12024
Disentangled Representation with Cross Experts Covariance Loss for Multi-Domain Recommendation
Z Lin, J Pan, H Yu, X Xiao, X Wang, Z Feng, S Wen, S Huang, L Xiao, ...
arXiv preprint arXiv:2405.12706, 2024
12024
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