Wang, Ximei

18 publications

ICML 2025 From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models Mingjia Yin, Junwei Pan, Hao Wang, Ximei Wang, Shangyu Zhang, Jie Jiang, Defu Lian, Enhong Chen

ICLR 2025 Long-Sequence Recommendation Models Need Decoupled Embeddings Ningya Feng, Junwei Pan, Jialong Wu, Baixu Chen, Ximei Wang, QianLi, Xian Hu, Jie Jiang, Mingsheng Long

AAAI 2024 Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang

ICML 2024 On the Embedding Collapse When Scaling up Recommendation Models Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long

AAAI 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

AAAI 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

ECML-PKDD 2023 Bi-Tuning: Efficient Transfer from Pre-Trained Models Jincheng Zhong, Haoyu Ma, Ximei Wang, Zhi Kou, Mingsheng Long

ICML 2023 CLIPood: Generalizing CLIP to Out-of-Distributions Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long

NeurIPS 2023 ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long

NeurIPS 2022 Debiased Self-Training for Semi-Supervised Learning Baixu Chen, Junguang Jiang, Ximei Wang, Pengfei Wan, Jianmin Wang, Mingsheng Long

ICLR 2022 X-Model: Improving Data Efficiency in Deep Learning with a Minimax Model Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long

CVPR 2021 Regressive Domain Adaptation for Unsupervised Keypoint Detection Junguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu, Jianmin Wang, Mingsheng Long

ICML 2021 Self-Tuning for Data-Efficient Deep Learning Ximei Wang, Jinghan Gao, Mingsheng Long, Jianmin Wang

ECCV 2020 Minimum Class Confusion for Versatile Domain Adaptation Ying Jin, Ximei Wang, Mingsheng Long(), Jianmin Wang

NeurIPS 2020 Transferable Calibration with Lower Bias and Variance in Domain Adaptation Ximei Wang, Mingsheng Long, Jianmin Wang, Michael I. Jordan

ICML 2019 Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation Kaichao You, Ximei Wang, Mingsheng Long, Michael Jordan

AAAI 2019 Transferable Attention for Domain Adaptation Ximei Wang, Liang Li, Weirui Ye, Mingsheng Long, Jianmin Wang

NeurIPS 2019 Transferable Normalization: Towards Improving Transferability of Deep Neural Networks Ximei Wang, Ying Jin, Mingsheng Long, Jianmin Wang, Michael I Jordan