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ORCIDYu-An Liu 0028
Person information
- affiliation: University of Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- affiliation: Chinese Academy of Sciences, CAS Key Lab of Network Data Science and Technology, Institute of Computing Technology, China
- affiliation: Shandong University, Qingdao, China
Other persons with the same name
- Yuan Liu (aka: Yu'an Liu, Yu-An Liu) — disambiguation page
- Yuan Liu 0001
![[0000-0002-9447-0219]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9447-0219")
— South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China (and 1 more) - Yuan Liu 0002 — Guangzhou University, Cyberspace Institute of Advanced Technology, Guangzhou, China (and 3 more)
- Yuan Liu 0003 — Shanghai Jiao Tong University, Department of Food Science and Technology, China (and 1 more)
- Yuan Liu 0004 — Fraunhofer Institute for Production Technology, Aachen, Germany
- Yuan Liu 0005 — Huazhong University of Science and Technology, Cluster and Grid Computing Lab, Wuhan, China
- Yuan Liu 0006 — University of Alberta, Edmonton, AB, Canada
- Yuan Liu 0007 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (and 1 more)
- Yuan Liu 0008 — University of Glasgow, UK
- Yuan Liu 0009 — University of Strasbourg, France
- Yuan Liu 0010 — Arts et Métiers ParisTech, France
- Yuan Liu 0011 — Tianjin University, Academy of Medical Engineering and Translational Medicine, China (and 1 more)
- Yuan Liu 0012 — South China University of Technology, School of Mechanical and Automotive Engineering, Guangzhou, China
- Yuan Liu 0013 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Yuan Liu 0014 — Beihang University, School of Mechanical Engineering and Automation, Beijing, China
- Yuan Liu 0015 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Nanjing, China
- Yuan Liu 0016 — Peking University, Institute of Remote Sensing and Geographic Information System, Beijing, China
- Yuan Liu 0017 — Ricoh Software Research Center, Beijing, China (and 1 more)
- Yuan Liu 0018 — Wichita State University, Department of Mathematics, Statistics and Physics, Wichita, KS, USA (and 3 more)
- Yuan Liu 0019 — Vanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, TN, USA
- Yuan Liu 0020 — High-Tech Institute of Xi'an, China
- Yuan Liu 0021 — Jiangnan University, School of Digital Media / School of Artificial Intelligence and Computer Science, Jiangsu Key Laboratory of Media Design and Software Technology, Wuxi, China
- Yuan Liu 0022 — Guangdong University of Technology, School of Automation, Guangzhou, China
- Yuan Liu 0023 — Pacific Northwest National Laboratory, Richland, WA, USA
- Yuan Liu 0024 — Normandy University, Caen, France
- Yuan Liu 0025 — University of Hong Kong, Department of Computer Science, Hong Kong
- Yuan Liu 0026 — Xiangtan University, Key Laboratory of Intelligent Computing and Information Processing, Xiangtan, China (and 1 more)
- Yuan Liu 0027 — Tianjin Normal University, School of Electronic and Communication Engineering, Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin, China (and 1 more)
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2020 – today
- 2024
[c5]Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng:
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. AAAI 2024: 8832-8840- [c4]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. SIGIR 2024: 1391-1400 - [c3]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke:
Robust Information Retrieval. SIGIR 2024: 3009-3012 - [i7]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. CoRR abs/2404.01574 (2024) - [i6]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke:
Robust Information Retrieval. CoRR abs/2406.08891 (2024) - [i5]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective. CoRR abs/2407.06992 (2024) - 2023
- [j2]Shaokun Wang, Tian Gan, Yuan Liu, Jianlong Wu, Yuan Cheng, Liqiang Nie:
Micro-Influencer Recommendation by Multi-Perspective Account Representation Learning. IEEE Trans. Multim. 25: 2749-2760 (2023) - [c2]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. CIKM 2023: 1647-1656 - [c1]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. SIGIR 2023: 1700-1709 - [i4]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. CoRR abs/2304.14867 (2023) - [i3]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Xueqi Cheng:
On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective. CoRR abs/2306.12756 (2023) - [i2]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. CoRR abs/2308.09861 (2023) - [i1]Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng:
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. CoRR abs/2312.10329 (2023) - 2022
- [j1]Shaokun Wang, Tian Gan, Yuan Liu, Li Zhang, Jianlong Wu, Liqiang Nie:
Discover Micro-Influencers for Brands via Better Understanding. IEEE Trans. Multim. 24: 2595-2605 (2022)
Coauthor Index
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last updated on 2024-08-25 20:06 CEST by the dblp team
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