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ORCIDXiaoling Zhou
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2020 – today
- 2024
[j10]Xiaoling Zhou
, Ou Wu, Mengyang Li:
Investigating the Sample Weighting Mechanism Using an Interpretable Weighting Framework. IEEE Trans. Knowl. Data Eng. 36(5): 2041-2055 (2024)- [j9]Xiaoling Zhou, Ou Wu:
Which Samples Should Be Learned First: Easy or Hard? IEEE Trans. Neural Networks Learn. Syst. 35(11): 15264-15278 (2024) - [c18]Xiaoling Zhou, Wei Ye, Yidong Wang, Chaoya Jiang, Zhemg Lee, Rui Xie, Shikun Zhang:
Enhancing In-Context Learning via Implicit Demonstration Augmentation. ACL (1) 2024: 2810-2828 - [c17]Xiaoling Zhou, Wei Ye, Zhemg Lee, Rui Xie, Shikun Zhang:
Boosting Model Resilience via Implicit Adversarial Data Augmentation. IJCAI 2024: 5653-5661 - [i8]Xiaoling Zhou, Wei Ye, Zhemg Lee, Rui Xie, Shikun Zhang:
Boosting Model Resilience via Implicit Adversarial Data Augmentation. CoRR abs/2404.16307 (2024) - [i7]Xiaoling Zhou, Ou Wu, Michael K. Ng, Hao Jiang:
Data Valuation by Leveraging Global and Local Statistical Information. CoRR abs/2405.17464 (2024) - [i6]Xiaoling Zhou, Wei Ye, Yidong Wang, Chaoya Jiang, Zhemg Lee, Rui Xie, Shikun Zhang:
Enhancing In-Context Learning via Implicit Demonstration Augmentation. CoRR abs/2407.00100 (2024) - 2023
- [j8]Xiaoling Zhou, Zetao Jiang, Idowu Paul Okuwobi:
CAFNET: Cross-Attention Fusion Network for Infrared and Low Illumination Visible-Light Image. Neural Process. Lett. 55(5): 6027-6041 (2023) - [j7]Xiaoling Zhou, Guiping Zhu:
A crowd clustering prediction and captioning technique for public health emergencies. PeerJ Comput. Sci. 9: e1283 (2023) - [j6]Xiaoling Zhou, Zetao Jiang, Idowu Paul Okuwobi:
Retinex-MPCNN: A Retinex and Modified Pulse coupled Neural Network based method for low-illumination visible and infrared image fusion. Signal Process. Image Commun. 115: 116956 (2023) - [c16]Xiaoling Zhou, Nan Yang, Ou Wu:
Combining Adversaries with Anti-adversaries in Training. AAAI 2023: 11435-11442 - [i5]Xiaoling Zhou, Ou Wu, Weiyao Zhu, Ziyang Liang:
Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure. CoRR abs/2301.04850 (2023) - [i4]Xiaoling Zhou, Nan Yang, Ou Wu:
Combining Adversaries with Anti-adversaries in Training. CoRR abs/2304.12550 (2023) - [i3]Xiaoling Zhou, Ou Wu:
Implicit Counterfactual Data Augmentation for Deep Neural Networks. CoRR abs/2304.13431 (2023) - 2022
- [j5]Xiaoling Zhou, Ou Wu, Chao Jiang:
Increasing naturalness of human-machine dialogue: The users' choices inference of options in machine-raised questions. Knowl. Based Syst. 243: 108485 (2022) - [c15]Minghan Cai, Weimin Wu, Xiaoling Zhou:
Trajectory Tracking Control for Autonomous Parking Based on Adaptive Reduced-horizon Model Predictive Control. ICNSC 2022: 1-6 - [c14]Xiaoling Zhou, Cheng Hu, Ran Duo, Haokun Xiong, Yu Qi, Zhiming Zhang, Hongye Su, Lei Xie:
Learning-Based MPC Controller for Drift Control of Autonomous Vehicles. ITSC 2022: 322-328 - [c13]Xiaoling Zhou, Ou Wu, Weiyao Zhu, Ziyang Liang:
Understanding Difficulty-Based Sample Weighting with a Universal Difficulty Measure. ECML/PKDD (3) 2022: 68-84 - 2021
- [j4]Xiaoling Zhou, Amit Sharma, Vandana Mohindru:
Research on Linear Programming Algorithm for Mathematical Model of Agricultural Machinery Allocation. Int. J. Agric. Environ. Inf. Syst. 12(3): 1-12 (2021) - [c12]Xiaoling Zhou, Ou Wu:
Drop "Noise" Edge: An Approximation of the Bayesian GNNs. ACPR (2) 2021: 59-72 - [c11]Yu Qi, Zhiming Zhang, Cheng Hu, Xiaoling Zhou, Lei Xie, Hongye Su:
An MPC-based Controller Framework for Agile Maneuvering of Autonomous Vehicles. IV 2021: 1228-1234 - [i2]Xiaoling Zhou, Ou Wu:
Which Samples Should be Learned First: Easy or Hard? CoRR abs/2110.05481 (2021) - 2020
- [c10]Xiaoling Zhou, Yukai Miao, Wei Wang, Jianbin Qin:
A Recurrent Model for Collective Entity Linking with Adaptive Features. AAAI 2020: 329-336 - [c9]Rui Wang, Xiaoling Zhou, Jian Wu, Ou Wu:
Inter-subdiscipline Analysis Based on Mathematical Statements. JCDL 2020: 483-484
2010 – 2019
- 2019
- [c8]Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou, Wei Wang, Xiang Zhao:
Antonym-Synonym Classification Based on New Sub-Space Embeddings. AAAI 2019: 6204-6211 - [c7]Wenjun Wan, Quansheng Dou, Xiaoling Zhou, Ping Jiang, Bin Zhang:
Natural Language-to-SQL Based on Relationship Extraction. ISKE 2019: 1219-1225 - [i1]Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou, Wei Wang, Xiang Zhao:
Antonym-Synonym Classification Based on New Sub-space Embeddings. CoRR abs/1906.05612 (2019) - 2018
- [c6]Shifeng Liu, Yifang Sun, Wei Wang, Xiaoling Zhou:
A CRF-Based Stacking Model with Meta-features for Named Entity Recognition. PAKDD (2) 2018: 54-66 - 2017
- [b1]Xiaoling Zhou:
Index-based Query Processing Methods for Text and Spatial Databases. University of New South Wales, Sydney, Australia, 2017 - [j3]Minxia Luo, Xiaoling Zhou:
Interval-valued quintuple implication principle of fuzzy reasoning. Int. J. Approx. Reason. 84: 23-32 (2017) - 2016
- [j2]Xiaoling Zhou, Jianbin Qin, Chuan Xiao, Wei Wang, Xuemin Lin, Yoshiharu Ishikawa:
BEVA: An Efficient Query Processing Algorithm for Error-Tolerant Autocompletion. ACM Trans. Database Syst. 41(1): 5:1-5:44 (2016) - [c5]Xiaoling Zhou, Wei Wang:
An Index-Based Method for Efficient Maximizing Range Sum Queries in Road Network. ADC 2016: 95-109 - [c4]Xiaoling Zhou, Wei Wang, Jianliang Xu:
General Purpose Index-Based Method for Efficient MaxRS Query. DEXA (1) 2016: 20-36 - 2015
- [j1]Minxia Luo, Xiaoling Zhou:
Robustness of reverse triple I algorithms based on interval-valued fuzzy inference. Int. J. Approx. Reason. 66: 16-26 (2015) - [c3]Minxia Luo, Xiaoling Zhou:
Reverse Triple I Algorithms Based on Schweizer-Sklar Interval-Valued t-Norms. ISKE 2015: 414-419 - 2013
- [c2]Xiaoling Zhou, Yifei Lu, Yifang Sun, Muhammad Aamir Cheema:
Improved Spatial Keyword Search Based on IDF Approximation. APWeb 2013: 461-472 - [c1]Jianbin Qin, Xiaoling Zhou, Wei Wang, Chuan Xiao:
Trie-based similarity search and join. EDBT/ICDT Workshops 2013: 392-396
Coauthor Index
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last updated on 2024-11-11 21:29 CET by the dblp team
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