![](https://dblp.dagstuhl.de/img/logo.ua.320x120.png)
![](https://dblp.dagstuhl.de/img/dropdown.dark.16x16.png)
![](https://dblp.dagstuhl.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
![search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
default search action
Ximei Wang
Person information
Refine list
![note](https://dblp.dagstuhl.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2020
- [j3]Yibei Li
, Ximei Wang, Boualem Djehiche, Xiaoming Hu:
Credit scoring by incorporating dynamic networked information. Eur. J. Oper. Res. 286(3): 1103-1112 (2020) - [j2]Ximei Wang, Min Hu, Yanlong Zhao, Boualem Djehiche:
Credit Scoring Based on the Set-Valued Identification Method. J. Syst. Sci. Complex. 33(5): 1297-1309 (2020) - 2018
- [j1]Ximei Wang, Xingkang He
, Ying Bao, Yanlong Zhao:
Parameter estimates of Heston stochastic volatility model with MLE and consistent EKF algorithm. Sci. China Inf. Sci. 61(4): 042202:1-042202:17 (2018)
Conference and Workshop Papers
- 2024
- [c22]Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang:
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation. AAAI 2024: 9002-9010 - [c21]Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang:
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning. AAAI 2024: 15644-15652 - [c20]Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long:
On the Embedding Collapse when Scaling up Recommendation Models. ICML 2024 - [c19]Zhutian Lin
, Junwei Pan
, Shangyu Zhang
, Ximei Wang
, Xi Xiao
, Shudong Huang
, Lei Xiao
, Jie Jiang
:
Understanding the Ranking Loss for Recommendation with Sparse User Feedback. KDD 2024: 5409-5418 - [c18]Junwei Pan
, Wei Xue
, Ximei Wang
, Haibin Yu
, Xun Liu
, Shijie Quan
, Xueming Qiu
, Dapeng Liu
, Lei Xiao
, Jie Jiang
:
Ads Recommendation in a Collapsed and Entangled World. KDD 2024: 5566-5577 - 2023
- [c17]Enneng Yang
, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo:
AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI 2023: 10745-10753 - [c16]Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long:
CLIPood: Generalizing CLIP to Out-of-Distributions. ICML 2023: 31716-31731 - [c15]Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long:
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning. NeurIPS 2023 - [c14]Jincheng Zhong, Haoyu Ma, Ximei Wang, Zhi Kou, Mingsheng Long:
Bi-tuning: Efficient Transfer from Pre-trained Models. ECML/PKDD (5) 2023: 357-373 - [c13]Jing Zhang, Wen Zhang, Ximei Wang:
Crowd Density Estimation and Motion Trajectory Detection in Video Surveillance. SmartIoT 2023: 233-237 - 2022
- [c12]Ximei Wang, Xinyang Chen, Jianmin Wang
, Mingsheng Long
:
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model. ICLR 2022 - [c11]Baixu Chen, Junguang Jiang, Ximei Wang, Pengfei Wan, Jianmin Wang, Mingsheng Long:
Debiased Self-Training for Semi-Supervised Learning. NeurIPS 2022 - 2021
- [c10]Junguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu
, Jianmin Wang
, Mingsheng Long
:
Regressive Domain Adaptation for Unsupervised Keypoint Detection. CVPR 2021: 6780-6789 - [c9]Ximei Wang, Jinghan Gao, Mingsheng Long
, Jianmin Wang
:
Self-Tuning for Data-Efficient Deep Learning. ICML 2021: 10738-10748 - 2020
- [c8]Ying Jin, Ximei Wang, Mingsheng Long, Jianmin Wang:
Minimum Class Confusion for Versatile Domain Adaptation. ECCV (21) 2020: 464-480 - [c7]Junguang Jiang, Ximei Wang, Mingsheng Long
, Jianmin Wang
:
Resource Efficient Domain Adaptation. ACM Multimedia 2020: 2220-2228 - [c6]Ximei Wang, Mingsheng Long
, Jianmin Wang
, Michael I. Jordan:
Transferable Calibration with Lower Bias and Variance in Domain Adaptation. NeurIPS 2020 - 2019
- [c5]Ximei Wang, Liang Li, Weirui Ye, Mingsheng Long
, Jianmin Wang
:
Transferable Attention for Domain Adaptation. AAAI 2019: 5345-5352 - [c4]Kaichao You, Ximei Wang, Mingsheng Long
, Michael I. Jordan:
Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation. ICML 2019: 7124-7133 - [c3]Ximei Wang, Ying Jin, Mingsheng Long
, Jianmin Wang
, Michael I. Jordan:
Transferable Normalization: Towards Improving Transferability of Deep Neural Networks. NeurIPS 2019: 1951-1961 - 2015
- [c2]Ting Wang, Yanlong Zhao, Ximei Wang:
Consensus algorithm of multi-agent system with binary-valued communication. ASCC 2015: 1-6 - 2010
- [c1]Ximei Wang, Shoubao Yang, Shuling Wang, Xianlong Niu, Jing Xu:
An Application-Based Adaptive Replica Consistency for Cloud Storage. GCC 2010: 13-17
Informal and Other Publications
- 2024
- [i16]Junwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, Jie Jiang:
Ad Recommendation in a Collapsed and Entangled World. CoRR abs/2403.00793 (2024) - [i15]Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang:
Understanding the Ranking Loss for Recommendation with Sparse User Feedback. CoRR abs/2403.14144 (2024) - [i14]Zhutian Lin, Junwei Pan, Haibin Yu, Xi Xiao, Ximei Wang, Zhixiang Feng, Shifeng Wen, Shudong Huang, Lei Xiao, Jie Jiang:
Disentangled Representation with Cross Experts Covariance Loss for Multi-Domain Recommendation. CoRR abs/2405.12706 (2024) - 2023
- [i13]Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long
:
ForkMerge: Overcoming Negative Transfer in Multi-Task Learning. CoRR abs/2301.12618 (2023) - [i12]Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long
:
CLIPood: Generalizing CLIP to Out-of-Distributions. CoRR abs/2302.00864 (2023) - [i11]Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang:
STEM: Unleashing the Power of Embeddings for Multi-task Recommendation. CoRR abs/2308.13537 (2023) - [i10]Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang:
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning. CoRR abs/2309.10302 (2023) - [i9]Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long:
On the Embedding Collapse when Scaling up Recommendation Models. CoRR abs/2310.04400 (2023) - 2022
- [i8]Baixu Chen, Junguang Jiang, Ximei Wang, Jianmin Wang, Mingsheng Long:
Debiased Pseudo Labeling in Self-Training. CoRR abs/2202.07136 (2022) - [i7]Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo:
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning. CoRR abs/2211.15055 (2022) - 2021
- [i6]Ximei Wang, Jinghan Gao, Jianmin Wang, Mingsheng Long:
Self-Tuning for Data-Efficient Deep Learning. CoRR abs/2102.12903 (2021) - [i5]Junguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu, Jianmin Wang, Mingsheng Long:
Regressive Domain Adaptation for Unsupervised Keypoint Detection. CoRR abs/2103.06175 (2021) - [i4]Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long:
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model. CoRR abs/2110.04572 (2021) - 2020
- [i3]Ximei Wang, Mingsheng Long, Jianmin Wang, Michael I. Jordan:
Transferable Calibration with Lower Bias and Variance in Domain Adaptation. CoRR abs/2007.08259 (2020) - [i2]Jincheng Zhong, Ximei Wang, Zhi Kou, Jianmin Wang, Mingsheng Long:
Bi-tuning of Pre-trained Representations. CoRR abs/2011.06182 (2020) - 2019
- [i1]Ying Jin, Ximei Wang, Mingsheng Long, Jianmin Wang:
Less Confusion More Transferable: Minimum Class Confusion for Versatile Domain Adaptation. CoRR abs/1912.03699 (2019)
Coauthor Index
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-10 01:12 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint