Ximei Wang - RankMe

49 papers A* 19A 1Journal 24Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation. CIKM Zhutian Lin, Junwei Pan, Haibin Yu, Xi Xiao, Ximei Wang, Zhixiang Feng, Shifeng Wen, Shudong Huang, Dapeng Liu, Lei Xiao
2025	J	`jnl`	Enhancing CTR Prediction with De-correlated Expert Networks. CoRR Jiancheng Wang, Mingjia Yin, Junwei Pan, Ximei Wang, Hao Wang, Enhong Chen
2025	A*	`conf`	From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models. ICML Mingjia Yin, Junwei Pan, Hao Wang, Ximei Wang, Shangyu Zhang, Jie Jiang, Defu Lian, Enhong Chen
2025	J	`jnl`	From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models. CoRR Mingjia Yin, Junwei Pan, Hao Wang, Ximei Wang, Shangyu Zhang, Jie Jiang, Defu Lian, Enhong Chen
2025	A*	`conf`	Long-Sequence Recommendation Models Need Decoupled Embeddings. ICLR Ningya Feng, Junwei Pan, Jialong Wu, Baixu Chen, Ximei Wang, Qian Li, Xian Hu, Jie Jiang, Mingsheng Long
2025	J	`jnl`	Practice on Long Behavior Sequence Modeling in Tencent Advertising. CoRR Xian Hu, Ming Yue, Zhixiang Feng, Junwei Pan, Junjie Zhai, Ximei Wang, Xinrui Miao, Qian Li, Xun Liu, Shangyu Zhang, Letian Wang, Hua Lu, Zijian Zeng, Chen Cai, Wei Wang, Fei Xiong, Pengfei Xiong, Jintao Zhang, Zhiyuan Wu, Chunhui Zhang, Anan Liu, Jiulong You, Chao Deng, Yuekui Yang, Shudong Huang, Dapeng Liu, Haijie Gu
2024	J	`jnl`	Ad Recommendation in a Collapsed and Entangled World. CoRR Junwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, Jie Jiang
2024	A*	`conf`	Ads Recommendation in a Collapsed and Entangled World. KDD Junwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, Jie Jiang
2024	A*	`conf`	Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning. AAAI Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang
2024	J	`jnl`	Disentangled Representation with Cross Experts Covariance Loss for Multi-Domain Recommendation. CoRR Zhutian Lin, Junwei Pan, Haibin Yu, Xi Xiao, Ximei Wang, Zhixiang Feng, Shifeng Wen, Shudong Huang, Lei Xiao, Jie Jiang
2024	J	`jnl`	Long-Sequence Recommendation Models Need Decoupled Embeddings. CoRR Ningya Feng, Junwei Pan, Jialong Wu, Baixu Chen, Ximei Wang, Qian Li, Xian Hu, Jie Jiang, Mingsheng Long
2024	A*	`conf`	On the Embedding Collapse when Scaling up Recommendation Models. ICML Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long
2024	J	`jnl`	One Fits Many: Class Confusion Loss for Versatile Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. Ying Jin, Zhangjie Cao, Ximei Wang, Jianmin Wang, Mingsheng Long
2024	A*	`conf`	STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation. AAAI Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang
2024	A*	`conf`	Understanding the Ranking Loss for Recommendation with Sparse User Feedback. KDD Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang
2024	J	`jnl`	Understanding the Ranking Loss for Recommendation with Sparse User Feedback. CoRR Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang
2023	A*	`conf`	AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo
2023	—	`conf`	Bi-tuning: Efficient Transfer from Pre-trained Models. ECML/PKDD (5) Jincheng Zhong, Haoyu Ma, Ximei Wang, Zhi Kou, Mingsheng Long
2023	A*	`conf`	CLIPood: Generalizing CLIP to Out-of-Distributions. ICML Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	CLIPood: Generalizing CLIP to Out-of-Distributions. CoRR Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long
2023	—	`conf`	Crowd Density Estimation and Motion Trajectory Detection in Video Surveillance. SmartIoT Jing Zhang, Wen Zhang, Ximei Wang
2023	J	`jnl`	Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning. CoRR Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang
2023	A*	`conf`	ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning. NeurIPS Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long
2023	J	`jnl`	ForkMerge: Overcoming Negative Transfer in Multi-Task Learning. CoRR Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long
2023	J	`jnl`	On the Embedding Collapse when Scaling up Recommendation Models. CoRR Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long
2023	J	`jnl`	STEM: Unleashing the Power of Embeddings for Multi-task Recommendation. CoRR Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang
2022	J	`jnl`	AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning. CoRR Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo
2022	J	`jnl`	Debiased Pseudo Labeling in Self-Training. CoRR Baixu Chen, Junguang Jiang, Ximei Wang, Jianmin Wang, Mingsheng Long
2022	A*	`conf`	Debiased Self-Training for Semi-Supervised Learning. NeurIPS Baixu Chen, Junguang Jiang, Ximei Wang, Pengfei Wan, Jianmin Wang, Mingsheng Long
2022	A*	`conf`	X-model: Improving Data Efficiency in Deep Learning with A Minimax Model. ICLR Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long
2021	A*	`conf`	Regressive Domain Adaptation for Unsupervised Keypoint Detection. CVPR Junguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	Regressive Domain Adaptation for Unsupervised Keypoint Detection. CoRR Junguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu, Jianmin Wang, Mingsheng Long
2021	A*	`conf`	Self-Tuning for Data-Efficient Deep Learning. ICML Ximei Wang, Jinghan Gao, Mingsheng Long, Jianmin Wang
2021	J	`jnl`	Self-Tuning for Data-Efficient Deep Learning. CoRR Ximei Wang, Jinghan Gao, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	X-model: Improving Data Efficiency in Deep Learning with A Minimax Model. CoRR Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long
2020	J	`jnl`	Bi-tuning of Pre-trained Representations. CoRR Jincheng Zhong, Ximei Wang, Zhi Kou, Jianmin Wang, Mingsheng Long
2020	J	`jnl`	Credit Scoring Based on the Set-Valued Identification Method. J. Syst. Sci. Complex. Ximei Wang, Min Hu, Yanlong Zhao, Boualem Djehiche
2020	J	`jnl`	Credit scoring by incorporating dynamic networked information. Eur. J. Oper. Res. Yibei Li, Ximei Wang, Boualem Djehiche, Xiaoming Hu
2020	—	`conf`	Minimum Class Confusion for Versatile Domain Adaptation. ECCV (21) Ying Jin, Ximei Wang, Mingsheng Long, Jianmin Wang
2020	A*	`conf`	Resource Efficient Domain Adaptation. ACM Multimedia Junguang Jiang, Ximei Wang, Mingsheng Long, Jianmin Wang
2020	A*	`conf`	Transferable Calibration with Lower Bias and Variance in Domain Adaptation. NeurIPS Ximei Wang, Mingsheng Long, Jianmin Wang, Michael I. Jordan
2020	J	`jnl`	Transferable Calibration with Lower Bias and Variance in Domain Adaptation. CoRR Ximei Wang, Mingsheng Long, Jianmin Wang, Michael I. Jordan
2019	J	`jnl`	Less Confusion More Transferable: Minimum Class Confusion for Versatile Domain Adaptation. CoRR Ying Jin, Ximei Wang, Mingsheng Long, Jianmin Wang
2019	A*	`conf`	Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation. ICML Kaichao You, Ximei Wang, Mingsheng Long, Michael I. Jordan
2019	A*	`conf`	Transferable Attention for Domain Adaptation. AAAI Ximei Wang, Liang Li, Weirui Ye, Mingsheng Long, Jianmin Wang
2019	A*	`conf`	Transferable Normalization: Towards Improving Transferability of Deep Neural Networks. NeurIPS Ximei Wang, Ying Jin, Mingsheng Long, Jianmin Wang, Michael I. Jordan
2018	J	`jnl`	Parameter estimates of Heston stochastic volatility model with MLE and consistent EKF algorithm. Sci. China Inf. Sci. Ximei Wang, Xingkang He, Ying Bao, Yanlong Zhao
2015	—	`conf`	Consensus algorithm of multi-agent system with binary-valued communication. ASCC Ting Wang, Yanlong Zhao, Ximei Wang
2010	—	`conf`	An Application-Based Adaptive Replica Consistency for Cloud Storage. GCC Ximei Wang, Shoubao Yang, Shuling Wang, Xianlong Niu, Jing Xu