Improved Spatial Keyword Search Based on IDF Approximation. - Xiaoling Zhou; Yifei Lu; Yifang Sun; Muhammad Aamir Cheema (APWeb, 2013)

Trie-based similarity search and join. - Jianbin Qin; Xiaoling Zhou; Wei Wang 011; Chuan Xiao 001 (EDBT/ICDT Workshops, 2013)

Reverse Triple I Algorithms Based on Schweizer-Sklar Interval-Valued t-Norms. - Minxia Luo; Xiaoling Zhou (ISKE, 2015)

Robustness of reverse triple I algorithms based on interval-valued fuzzy inference. - Minxia Luo; Xiaoling Zhou (Int. J. Approx. Reason., 2015)

An Index-Based Method for Efficient Maximizing Range Sum Queries in Road Network. - Xiaoling Zhou; Wei Wang 011 (ADC, 2016)

General Purpose Index-Based Method for Efficient MaxRS Query. - Xiaoling Zhou; Wei Wang 011; Jianliang Xu (DEXA (1), 2016)

BEVA: An Efficient Query Processing Algorithm for Error-Tolerant Autocompletion. - Xiaoling Zhou; Jianbin Qin; Chuan Xiao 001; Wei Wang 011; Xuemin Lin 001; Yoshiharu Ishikawa (ACM Trans. Database Syst., 2016)

Interval-valued quintuple implication principle of fuzzy reasoning. - Minxia Luo; Xiaoling Zhou (Int. J. Approx. Reason., 2017)

Index-based Query Processing Methods for Text and Spatial Databases. - Xiaoling Zhou (2017)

A CRF-Based Stacking Model with Meta-features for Named Entity Recognition. - Shifeng Liu 002; Yifang Sun; Wei Wang 011; Xiaoling Zhou (PAKDD (2), 2018)

Antonym-Synonym Classification Based on New Sub-Space Embeddings. - Muhammad Asif Ali; Yifang Sun; Xiaoling Zhou; Wei Wang 011; Xiang Zhao 002 (AAAI, 2019)

Natural Language-to-SQL Based on Relationship Extraction. - Wenjun Wan; Quansheng Dou; Xiaoling Zhou; Ping Jiang; Bin Zhang (ISKE, 2019)

A Recurrent Model for Collective Entity Linking with Adaptive Features. - Xiaoling Zhou; Yukai Miao; Wei Wang 011; Jianbin Qin (AAAI, 2020)

Inter-subdiscipline Analysis Based on Mathematical Statements. - Rui Wang; Xiaoling Zhou; Jian Wu 006; Ou Wu (JCDL, 2020)

Drop "Noise" Edge: An Approximation of the Bayesian GNNs. - Xiaoling Zhou; Ou Wu (ACPR (2), 2021)

An MPC-based Controller Framework for Agile Maneuvering of Autonomous Vehicles. - Yu Qi; Zhiming Zhang; Cheng Hu; Xiaoling Zhou; Lei Xie 007; Hongye Su (IV, 2021)

Research on Linear Programming Algorithm for Mathematical Model of Agricultural Machinery Allocation. - Xiaoling Zhou; Amit Sharma; Vandana Mohindru (Int. J. Agric. Environ. Inf. Syst., 2021)

Trajectory Tracking Control for Autonomous Parking Based on Adaptive Reduced-horizon Model Predictive Control. - Minghan Cai; Weimin Wu 002; Xiaoling Zhou (ICNSC, 2022)

Learning-Based MPC Controller for Drift Control of Autonomous Vehicles. - Xiaoling Zhou; Cheng Hu; Ran Duo; Haokun Xiong; Yu Qi; Zhiming Zhang; Hongye Su; Lei Xie 007 (ITSC, 2022)

Understanding Difficulty-Based Sample Weighting with a Universal Difficulty Measure. - Xiaoling Zhou; Ou Wu; Weiyao Zhu; Ziyang Liang (ECML/PKDD (3), 2022)

Increasing naturalness of human-machine dialogue: The users' choices inference of options in machine-raised questions. - Xiaoling Zhou; Ou Wu; Chao Jiang (Knowl. Based Syst., 2022)

Combining Adversaries with Anti-adversaries in Training. - Xiaoling Zhou; Nan Yang; Ou Wu (AAAI, 2023)

Implicit Counterfactual Data Augmentation for Deep Neural Networks. - Xiaoling Zhou; Ou Wu (CoRR, 2023)

A crowd clustering prediction and captioning technique for public health emergencies. - Xiaoling Zhou; Guiping Zhu (PeerJ Comput. Sci., 2023)

Retinex-MPCNN: A Retinex and Modified Pulse coupled Neural Network based method for low-illumination visible and infrared image fusion. - Xiaoling Zhou; Zetao Jiang; Idowu Paul Okuwobi (Signal Process. Image Commun., 2023)

CAFNET: Cross-Attention Fusion Network for Infrared and Low Illumination Visible-Light Image. - Xiaoling Zhou; Zetao Jiang; Idowu Paul Okuwobi (Neural Process. Lett., 2023)

Enhancing In-Context Learning via Implicit Demonstration Augmentation. - Xiaoling Zhou; Wei Ye 004; Yidong Wang; Chaoya Jiang; Zhemg Lee; Rui Xie 003; Shikun Zhang (ACL (1), 2024)

Boosting Model Resilience via Implicit Adversarial Data Augmentation. - Xiaoling Zhou; Wei Ye 004; Zhemg Lee; Rui Xie 003; Shikun Zhang (IJCAI, 2024)

Data Valuation by Leveraging Global and Local Statistical Information. - Xiaoling Zhou; Ou Wu; Michael K. Ng 001; Hao Jiang 009 (CoRR, 2024)

Investigating the Sample Weighting Mechanism Using an Interpretable Weighting Framework. - Xiaoling Zhou; Ou Wu; Mengyang Li (IEEE Trans. Knowl. Data Eng., 2024)

Which Samples Should Be Learned First: Easy or Hard? - Xiaoling Zhou; Ou Wu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Adversarial Training With Anti-Adversaries. - Xiaoling Zhou; Ou Wu; Nan Yang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning. - Xiaoling Zhou; Ou Wu; Nan Yang (AAAI, 2025)

All-Optical Nonlinear Diffractive Deep Network for Ultrafast Image Denoising. - Xiaoling Zhou; Zhemg Lee; Wei Ye 004; Rui Xie 003; Wenbo Zhang; Guanju Peng; Zongze Li; Shikun Zhang (CVPR, 2025)

HaDeMiF: Hallucination Detection and Mitigation in Large Language Models. - Xiaoling Zhou; Mingjie Zhang; Zhemg Lee; Wei Ye 004; Shikun Zhang (ICLR, 2025)

Neo-TKGC: Enhancing Temporal Knowledge Graph Completion with Integrated Node Weights and Future Information. - Zihan Qiu; Xiaoling Zhou; Chunyan An; Qiang Yang 015; Zhixu Li (WSDM, 2025)

Mitigating spurious correlations with causal logit perturbation. - Xiaoling Zhou; Wei Ye 004; Rui Xie 003; Shikun Zhang (Inf. Sci., 2025)

Valuing Training Data via Causal Inference for In-Context Learning. - Xiaoling Zhou; Wei Ye 004; Zhemg Lee; Lei Zou 001; Shikun Zhang (IEEE Trans. Knowl. Data Eng., 2025)

Seed&Steer: Guiding Large Language Models with Compilable Prefix and Branch Signals for Unit Test Generation. - Shuaiyu Zhou; Zhengran Zeng; Xiaoling Zhou; Rui Xie 003; Shikun Zhang; Wei Ye 004 (CoRR, 2025)