Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDWeiwei Liu 0003
Person information
- unicode name: 刘威威
- affiliation: Wuhan University, School of Computer Science, Wuhan, China
- affiliation: University of New South Wales, School of Computer Science and Engineering, Sydney, NSW, Australia
- affiliation (PhD 2017): University of Technology Sydney, Ultimo, NSW, Australia
Other persons with the same name
- Weiwei Liu (aka: Wei-Wei Liu) — disambiguation page
- Weiwei Liu 0001 (aka: Wei-Wei Liu 0001) — Chinese People's Liberation Army, 62315 Unit, Beijing, China (and 2 more)
- Weiwei Liu 0002
![[0000-0001-7353-9136]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7353-9136")
— Nanjing University of Science and Technology, School of Automation, China - Weiwei Liu 0004 — Shandong University, Department of Computer Science and Technology, Jinan, China
- Weiwei Liu 0005 — North China University of Water Resources and Electric Power, School of Mathematics and Statistics, Zhengzhou, China (and 1 more)
- Weiwei Liu 0006 — Harbin Engineering University, School of Economics and Management, China (and 1 more)
- Weiwei Liu 0008 — City University of Hong Kong, Department of Computer Science, Kowloon, Hong Kong
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j16]Haobo Wang, Cheng Peng, Hede Dong, Lei Feng, Weiwei Liu, Tianlei Hu, Ke Chen, Gang Chen:
On the Value of Head Labels in Multi-Label Text Classification. ACM Trans. Knowl. Discov. Data 18(5): 124:1-124:21 (2024)- [c34]Zekai Wang, Zhengyu Zhou, Weiwei Liu:
DRF: Improving Certified Robustness via Distributional Robustness Framework. AAAI 2024: 15752-15760 - 2023
- [j15]Xiaobo Shen, Yew-Soon Ong, Zheng Mao, Shirui Pan, Weiwei Liu, Yuhui Zheng:
Compact network embedding for fast node classification. Pattern Recognit. 136: 109236 (2023) - [j14]Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu, Yang Yang, Philip S. Yu:
Signed Network Representation by Preserving Multi-Order Signed Proximity. IEEE Trans. Knowl. Data Eng. 35(3): 3087-3100 (2023) - [j13]Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Wenbin Hu:
Task Variance Regularized Multi-Task Learning. IEEE Trans. Knowl. Data Eng. 35(8): 8615-8629 (2023) - [c33]Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan:
Better Diffusion Models Further Improve Adversarial Training. ICML 2023: 36246-36263 - [c32]Chenglin Yu, Xinsong Ma, Weiwei Liu:
Delving into Noisy Label Detection with Clean Data. ICML 2023: 40290-40305 - [c31]Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen:
Deep Partial Multi-Label Learning with Graph Disambiguation. IJCAI 2023: 4308-4316 - [i6]Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan:
Better Diffusion Models Further Improve Adversarial Training. CoRR abs/2302.04638 (2023) - [i5]Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen:
Deep Partial Multi-Label Learning with Graph Disambiguation. CoRR abs/2305.05882 (2023) - 2022
- [j12]Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu:
Signed network representation with novel node proximity evaluation. Neural Networks 148: 142-154 (2022) - [j11]Weiwei Liu, Haobo Wang, Xiaobo Shen, Ivor W. Tsang:
The Emerging Trends of Multi-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7955-7974 (2022) - [c30]Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Pengtao Xie:
MetaWeighting: Learning to Weight Tasks in Multi-Task Learning. ACL (Findings) 2022: 3436-3448 - [c29]Zekai Wang, Weiwei Liu:
Robustness Verification for Contrastive Learning. ICML 2022: 22865-22883 - [c28]Xinsong Ma, Zekai Wang, Weiwei Liu:
On the Tradeoff Between Robustness and Fairness. NeurIPS 2022 - [i4]Xiaowen Wei, Weiwei Liu, Yibing Zhan, Bo Du, Wenbin Hu:
CLNode: Curriculum Learning for Node Classification. CoRR abs/2206.07258 (2022) - 2021
- [j10]Chuang Liu, Jia Wu, Weiwei Liu, Wenbin Hu:
Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information. Neural Networks 142: 20-33 (2021) - [c27]Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Wenbin Hu:
BanditMTL: Bandit-based Multi-task Learning for Text Classification. ACL/IJCNLP (1) 2021: 5506-5516 - 2020
- [j9]Zhao Li, Haobo Wang, Donghui Ding, Shichang Hu, Zhen Zhang, Weiwei Liu, Jianliang Gao, Zhiqiang Zhang, Ji Zhang:
Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation. Complex. 2020: 8828087:1-8828087:13 (2020) - [j8]Weiwei Liu, Xiaobo Shen, Yew-Soon Ong, Ivor W. Tsang, Chen Gong, Vladimir Pavlovic:
Guest Editorial Special Issue on Structured Multi-Output Learning: Modeling, Algorithm, Theory, and Applications. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2236-2239 (2020) - [c26]Zhenyu Qiu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, Xiaohua Jia:
Temporal Network Embedding with High-Order Nonlinear Information. AAAI 2020: 5436-5443 - [c25]Haobo Wang, Chen Chen, Weiwei Liu, Ke Chen, Tianlei Hu, Gang Chen:
Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification. AAAI 2020: 6178-6185 - [c24]Yuren Mao, Shuang Yun, Weiwei Liu, Bo Du:
Tchebycheff Procedure for Multi-task Text Classification. ACL 2020: 4217-4226 - [c23]Yuren Mao, Weiwei Liu, Xuemin Lin:
Adaptive Adversarial Multi-task Representation Learning. ICML 2020: 6724-6733 - [c22]Xinjian Huang, Bo Du, Weiwei Liu:
Multichannel Color Image Denoising via Weighted Schatten p-norm Minimization. IJCAI 2020: 637-644 - [c21]Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu:
Opinion Maximization in Social Trust Networks. IJCAI 2020: 1251-1257 - [c20]Haobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu, Tianlei Hu, Gang Chen:
Collaboration Based Multi-Label Propagation for Fraud Detection. IJCAI 2020: 2477-2483 - [c19]Haobo Wang, Weiwei Liu, Yang Zhao, Tianlei Hu, Ke Chen, Gang Chen:
Learning From Multi-Dimensional Partial Labels. IJCAI 2020: 2943-2949 - [c18]Haobo Wang, Yuzhou Qiang, Chen Chen, Weiwei Liu, Tianlei Hu, Zhao Li, Gang Chen:
Online Partial Label Learning. ECML/PKDD (2) 2020: 455-470 - [i3]Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu:
Opinion Maximization in Social Trust Networks. CoRR abs/2006.10961 (2020) - [i2]Xinjian Huang, Weiwei Liu, Bo Du:
Matrix Completion with Noise via Leveraged Sampling. CoRR abs/2011.05885 (2020) - [i1]Weiwei Liu, Xiaobo Shen, Haobo Wang, Ivor W. Tsang:
The Emerging Trends of Multi-Label Learning. CoRR abs/2011.11197 (2020)
2010 – 2019
- 2019
- [j7]Weiwei Liu, Donna Xu, Ivor W. Tsang, Wenjie Zhang:
Metric Learning for Multi-Output Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 408-422 (2019) - [j6]Weiwei Liu, Xiaobo Shen, Bo Du, Ivor W. Tsang, Wenjie Zhang, Xuemin Lin:
Hyperspectral Imagery Classification via Stochastic HHSVMs. IEEE Trans. Image Process. 28(2): 577-588 (2019) - [c17]Chen Chen, Haobo Wang, Weiwei Liu, Xingyuan Zhao, Tianlei Hu, Gang Chen:
Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification. AAAI 2019: 3304-3311 - [c16]Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, Jian Yang:
Social Trust Network Embedding. ICDM 2019: 678-687 - [c15]Weiwei Liu, Xiaobo Shen:
Sparse Extreme Multi-label Learning with Oracle Property. ICML 2019: 4032-4041 - [c14]Haobo Wang, Weiwei Liu, Yang Zhao, Chen Zhang, Tianlei Hu, Gang Chen:
Discriminative and Correlative Partial Multi-Label Learning. IJCAI 2019: 3691-3697 - [c13]Weiwei Liu:
Copula Multi-label Learning. NeurIPS 2019: 6334-6343 - 2018
- [j5]Xiaobo Shen, Fumin Shen, Li Liu, Yunhao Yuan, Weiwei Liu, Quan-Sen Sun:
Multiview Discrete Hashing for Scalable Multimedia Search. ACM Trans. Intell. Syst. Technol. 9(5): 53:1-53:21 (2018) - [j4]Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong:
Multilabel Prediction via Cross-View Search. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4324-4338 (2018) - [c12]Weiwei Liu, Zhuanghua Liu, Ivor W. Tsang, Wenjie Zhang, Xuemin Lin:
Doubly Approximate Nearest Neighbor Classification. AAAI 2018: 3683-3690 - [c11]Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong:
Compact Multi-Label Learning. AAAI 2018: 4066-4073 - [c10]Xiaobo Shen, Weiwei Liu, Yong Luo, Yew-Soon Ong, Ivor W. Tsang:
Deep Discrete Prototype Multilabel Learning. IJCAI 2018: 2675-2681 - [c9]Jing Wang, Feng Tian, Weiwei Liu, Xiao Wang, Wenjie Zhang, Kenji Yamanishi:
Ranking Preserving Nonnegative Matrix Factorization. IJCAI 2018: 2776-2782 - [c8]Xiaobo Shen, Shirui Pan, Weiwei Liu, Yew-Soon Ong, Quan-Sen Sun:
Discrete Network Embedding. IJCAI 2018: 3549-3555 - 2017
- [j3]Weiwei Liu, Ivor W. Tsang:
Making Decision Trees Feasible in Ultrahigh Feature and Label Dimensions. J. Mach. Learn. Res. 18: 81:1-81:36 (2017) - [j2]Weiwei Liu, Ivor W. Tsang, Klaus-Robert Müller:
An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels. J. Mach. Learn. Res. 18: 94:1-94:38 (2017) - [c7]Xiao-Bo Shen, Weiwei Liu, Ivor W. Tsang, Fumin Shen, Quan-Sen Sun:
Compressed K-Means for Large-Scale Clustering. AAAI 2017: 2527-2533 - [c6]Jing Chai, Weiwei Liu, Ivor W. Tsang, Xiao-Bo Shen:
Compact Multiple-Instance Learning. CIKM 2017: 2007-2010 - [c5]Weiwei Liu, Xiao-Bo Shen, Ivor W. Tsang:
Sparse Embedded k-Means Clustering. NIPS 2017: 3319-3327 - 2016
- [c4]Weiwei Liu, Ivor W. Tsang:
Sparse Perceptron Decision Tree for Millions of Dimensions. AAAI 2016: 1881-1887 - 2015
- [j1]Weiwei Liu, Zhi-Hong Deng, Longbing Cao, Xiaoran Xu, He Liu, Xiuwen Gong:
Mining Top K Spread Sources for a Specific Topic and a Given Node. IEEE Trans. Cybern. 45(11): 2472-2483 (2015) - [c3]Weiwei Liu, Zhi-Hong Deng, Xiuwen Gong, Frank Jiang, Ivor W. Tsang:
Effectively Predicting Whether and When a Topic Will Become Prevalent in a Social Network. AAAI 2015: 210-216 - [c2]Weiwei Liu, Ivor W. Tsang:
Large Margin Metric Learning for Multi-Label Prediction. AAAI 2015: 2800-2806 - [c1]Weiwei Liu, Ivor W. Tsang:
On the Optimality of Classifier Chain for Multi-label Classification. NIPS 2015: 712-720
Coauthor Index
aka: Xiao-Bo Shen
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 2024-06-25 23:34 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
