Ximei Wang

According to our database, Ximei Wang authored at least 29 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Understanding the Ranking Loss for Recommendation with Sparse User Feedback.

Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang

CoRR, 2024

Ad Recommendation in a Collapsed and Entangled World.

Junwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, Jie Jiang

CoRR, 2024

Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning.

Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation.

Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

On the Embedding Collapse when Scaling up Recommendation Models.

Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long

CoRR, 2023

ForkMerge: Overcoming Negative Transfer in Multi-Task Learning.

Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long

CoRR, 2023

Crowd Density Estimation and Motion Trajectory Detection in Video Surveillance.

Jing Zhang, Wen Zhang, Ximei Wang

Proceedings of the IEEE International Conference on Smart Internet of Things, 2023

Bi-tuning: Efficient Transfer from Pre-trained Models.

Jincheng Zhong, Haoyu Ma, Ximei Wang, Zhi Kou, Mingsheng Long

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning.

Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CLIPood: Generalizing CLIP to Out-of-Distributions.

Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long

Proceedings of the International Conference on Machine Learning, 2023

AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning.

Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Debiased Pseudo Labeling in Self-Training.

Baixu Chen, Junguang Jiang, Ximei Wang, Jianmin Wang, Mingsheng Long

CoRR, 2022

Debiased Self-Training for Semi-Supervised Learning.

Baixu Chen, Junguang Jiang, Ximei Wang, Pengfei Wan, Jianmin Wang, Mingsheng Long

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

X-model: Improving Data Efficiency in Deep Learning with A Minimax Model.

Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Self-Tuning for Data-Efficient Deep Learning.

Ximei Wang, Jinghan Gao, Mingsheng Long, Jianmin Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Regressive Domain Adaptation for Unsupervised Keypoint Detection.

Junguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu, Jianmin Wang, Mingsheng Long

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Credit Scoring Based on the Set-Valued Identification Method.

Ximei Wang, Min Hu, Yanlong Zhao, Boualem Djehiche

J. Syst. Sci. Complex., 2020

Credit scoring by incorporating dynamic networked information.

Yibei Li, Ximei Wang, Boualem Djehiche, Xiaoming Hu

Eur. J. Oper. Res., 2020

Bi-tuning of Pre-trained Representations.

Jincheng Zhong, Ximei Wang, Zhi Kou, Jianmin Wang, Mingsheng Long

CoRR, 2020

Transferable Calibration with Lower Bias and Variance in Domain Adaptation.

Ximei Wang, Mingsheng Long, Jianmin Wang, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Resource Efficient Domain Adaptation.

Junguang Jiang, Ximei Wang, Mingsheng Long, Jianmin Wang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Minimum Class Confusion for Versatile Domain Adaptation.

Ying Jin, Ximei Wang, Mingsheng Long, Jianmin Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Less Confusion More Transferable: Minimum Class Confusion for Versatile Domain Adaptation.

Ying Jin, Ximei Wang, Mingsheng Long, Jianmin Wang

CoRR, 2019

Transferable Normalization: Towards Improving Transferability of Deep Neural Networks.

Ximei Wang, Ying Jin, Mingsheng Long, Jianmin Wang, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation.

Kaichao You, Ximei Wang, Mingsheng Long, Michael I. Jordan

Proceedings of the 36th International Conference on Machine Learning, 2019

Transferable Attention for Domain Adaptation.

Ximei Wang, Liang Li, Weirui Ye, Mingsheng Long, Jianmin Wang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Parameter estimates of Heston stochastic volatility model with MLE and consistent EKF algorithm.

Ximei Wang, Xingkang He, Ying Bao, Yanlong Zhao

Sci. China Inf. Sci., 2018

2015

Consensus algorithm of multi-agent system with binary-valued communication.

Ting Wang, Yanlong Zhao, Ximei Wang

Proceedings of the 10th Asian Control Conference, 2015

2010

An Application-Based Adaptive Replica Consistency for Cloud Storage.

Ximei Wang, Shoubao Yang, Shuling Wang, Xianlong Niu, Jing Xu

Proceedings of the GCC 2010, 2010