An Application-Based Adaptive Replica Consistency for Cloud Storage. - Ximei Wang; Shoubao Yang; Shuling Wang; Xianlong Niu; Jing Xu (GCC, 2010)

Consensus algorithm of multi-agent system with binary-valued communication. - Ting Wang 012; Yanlong Zhao; Ximei Wang (ASCC, 2015)

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)

Transferable Attention for Domain Adaptation. - Ximei Wang; Liang Li; Weirui Ye; Mingsheng Long; Jianmin Wang 001 (AAAI, 2019)

Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation. - Kaichao You; Ximei Wang; Mingsheng Long; Michael I. Jordan (ICML, 2019)

Transferable Normalization: Towards Improving Transferability of Deep Neural Networks. - Ximei Wang; Ying Jin; Mingsheng Long; Jianmin Wang 001; Michael I. Jordan (NeurIPS, 2019)

Less Confusion More Transferable: Minimum Class Confusion for Versatile Domain Adaptation. - Ying Jin; Ximei Wang; Mingsheng Long; Jianmin Wang 001 (CoRR, 2019)

Minimum Class Confusion for Versatile Domain Adaptation. - Ying Jin; Ximei Wang; Mingsheng Long; Jianmin Wang 001 (ECCV (21), 2020)

Resource Efficient Domain Adaptation. - Junguang Jiang; Ximei Wang; Mingsheng Long; Jianmin Wang 001 (ACM Multimedia, 2020)

Transferable Calibration with Lower Bias and Variance in Domain Adaptation. - Ximei Wang; Mingsheng Long; Jianmin Wang 001; Michael I. Jordan (NeurIPS, 2020)

Bi-tuning of Pre-trained Representations. - Jincheng Zhong; Ximei Wang; Zhi Kou; Jianmin Wang 001; Mingsheng Long (CoRR, 2020)

Credit scoring by incorporating dynamic networked information. - Yibei Li; Ximei Wang; Boualem Djehiche; Xiaoming Hu 001 (Eur. J. Oper. Res., 2020)

Credit Scoring Based on the Set-Valued Identification Method. - Ximei Wang; Min Hu; Yanlong Zhao; Boualem Djehiche (J. Syst. Sci. Complex., 2020)

Regressive Domain Adaptation for Unsupervised Keypoint Detection. - Junguang Jiang; Yifei Ji; Ximei Wang; Yufeng Liu; Jianmin Wang 001; Mingsheng Long (CVPR, 2021)

Self-Tuning for Data-Efficient Deep Learning. - Ximei Wang; Jinghan Gao; Mingsheng Long; Jianmin Wang 001 (ICML, 2021)

X-model: Improving Data Efficiency in Deep Learning with A Minimax Model. - Ximei Wang; Xinyang Chen 001; Jianmin Wang 001; Mingsheng Long (ICLR, 2022)

Debiased Self-Training for Semi-Supervised Learning. - Baixu Chen; Junguang Jiang; Ximei Wang; Pengfei Wan 001; Jianmin Wang 001; Mingsheng Long (NeurIPS, 2022)

Debiased Pseudo Labeling in Self-Training. - Baixu Chen; Junguang Jiang; Ximei Wang; Jianmin Wang 001; Mingsheng Long (CoRR, 2022)

AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. - Enneng Yang; Junwei Pan; Ximei Wang; Haibin Yu; Li Shen 008; Xihua Chen; Lei Xiao; Jie Jiang 015; Guibing Guo (AAAI, 2023)

CLIPood: Generalizing CLIP to Out-of-Distributions. - Yang Shu 001; Xingzhuo Guo; Jialong Wu 001; Ximei Wang; Jianmin Wang 001; Mingsheng Long (ICML, 2023)

ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning. - Junguang Jiang; Baixu Chen; Junwei Pan; Ximei Wang; Dapeng Liu; Jie Jiang 015; Mingsheng Long (NeurIPS, 2023)

Bi-tuning: Efficient Transfer from Pre-trained Models. - Jincheng Zhong; Haoyu Ma; Ximei Wang; Zhi Kou; Mingsheng Long (ECML/PKDD (5), 2023)

Crowd Density Estimation and Motion Trajectory Detection in Video Surveillance. - Jing Zhang; Wen Zhang; Ximei Wang (SmartIoT, 2023)

ForkMerge: Overcoming Negative Transfer in Multi-Task Learning. - Junguang Jiang; Baixu Chen; Junwei Pan; Ximei Wang; Dapeng Liu; Jie Jiang 015; Mingsheng Long (CoRR, 2023)

STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation. - Liangcai Su; Junwei Pan; Ximei Wang; Xi Xiao; Shijie Quan; Xihua Chen; Jie Jiang 015 (AAAI, 2024)

Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning. - Ximei Wang; Junwei Pan; Xingzhuo Guo; Dapeng Liu; Jie Jiang 015 (AAAI, 2024)

On the Embedding Collapse when Scaling up Recommendation Models. - Xingzhuo Guo; Junwei Pan; Ximei Wang; Baixu Chen; Jie Jiang 015; Mingsheng Long (ICML, 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 015 (KDD, 2024)

Ads 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 015 (KDD, 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 015 (CoRR, 2024)

Disentangled Representation with Cross Experts Covariance Loss for Multi-Domain Recommendation. - Zhutian Lin; Junwei Pan; Haibin Yu; Xi Xiao; Ximei Wang; Zhixiang Feng; Shifeng Wen; Shudong Huang; Lei Xiao; Jie Jiang 015 (CoRR, 2024)

One Fits Many: Class Confusion Loss for Versatile Domain Adaptation. - Ying Jin; Zhangjie Cao; Ximei Wang; Jianmin Wang 001; Mingsheng Long (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Long-Sequence Recommendation Models Need Decoupled Embeddings. - Ningya Feng; Junwei Pan; Jialong Wu 001; Baixu Chen; Ximei Wang; Qian Li 016; Xian Hu; Jie Jiang 015; Mingsheng Long (ICLR, 2025)

Enhancing CTR Prediction with De-correlated Expert Networks. - Jiancheng Wang; Mingjia Yin; Junwei Pan; Ximei Wang; Hao Wang 076; Enhong Chen (CoRR, 2025)