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Lingli Li
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2020 – today
- 2024
- [j15]Lingli Li
, Ao Han, Xiaotong Cui, Baohua Wu
:
FLEX: A fast and light-weight learned index for kNN search in high-dimensional space. Inf. Sci. 669: 120546 (2024) - [j14]Lingli Li
, Wenjing Sun
, Baohua Wu
:
DForest: A Minimal Dimensionality-Aware Indexing for High-Dimensional Exact Similarity Search. IEEE Trans. Knowl. Data Eng. 36(10): 5092-5105 (2024) - [c15]Mengkun Zhang, Lingli Li, Xin Zheng:
RLART: An Adaptive Radix Tree Based on Deep Reinforcement Learning. ICPCSEE (2) 2024: 328-344 - 2023
- [j13]Lingbing Meng
, Mengya Yuan, Xuehan Shi, Qingqing Liu, Fei Cheng, Lingli Li:
Three-stream RGB-D salient object detection network based on cross-level and cross-modal dual-attention fusion. IET Image Process. 17(11): 3292-3308 (2023) - [j12]Xutong Zhu, Lingli Li:
Estimating the Number of Clusters in High-Dimensional Large Datasets. Int. J. Data Warehous. Min. 19(2): 1-14 (2023) - 2022
- [j11]Bohao Wu, Lingli Li:
Solving maximum weighted matching on large graphs with deep reinforcement learning. Inf. Sci. 614: 400-415 (2022) - [j10]Lingli Li
, Jingwen Cai, Jie Xu:
A learned index for approximate kNN queries in high-dimensional spaces. Knowl. Inf. Syst. 64(12): 3325-3342 (2022) - [i1]Yaqin Li, Lingli Li, Yongjin Xu, Yi Yu:
Widely Used and Fast De Novo Drug Design by a Protein Sequence-Based Reinforcement Learning Model. CoRR abs/2209.07405 (2022) - 2021
- [j9]Helang Lai, Keke Wu, Lingli Li:
Multimodal emotion recognition with hierarchical memory networks. Intell. Data Anal. 25(4): 1031-1045 (2021) - [j8]Lingli Li, Jie Xu, Yu Li, Jingwen Cai:
HCTree+: A workload-guided index for approximate kNN search. Inf. Sci. 581: 876-890 (2021) - [c14]Xiangfei Ge, Lingli Li, Hao Chen:
Research on Online Scheduling Method for Flexible Assembly Workshop of Multi-AGV System Based on Assembly Island Mode. CCIS 2021: 371-375 - 2020
- [j7]Lingli Li, Hongzhi Wang, Jianzhong Li, Hong Gao:
A survey of uncertain data management. Frontiers Comput. Sci. 14(1): 162-190 (2020) - [c13]Jingwen Cai, Wenbin He, Yu Li, Xian Zhang, Lingli Li:
Improving Multi-set Query Processing Via a Learned Oracle. ACM TUR-C 2020: 33-37 - [c12]Lingli Li, Sheng Zheng, Jingwen Cai, Jinbao Li:
Efficient Source Selection for Error Detection via Matching Dependencies. DASFAA (1) 2020: 211-227
2010 – 2019
- 2019
- [j6]Hang Shen
, Lingli Li, Tianjing Wang
, Guangwei Bai:
CDCS: Cluster-Based Distributed Compressed Sensing to Facilitate QoS Routing in Cognitive Video Sensor Networks. Entropy 21(4): 345 (2019) - [c11]Dongdong Ren, Jinbao Li, Lingli Li, Haiwei Pan, Minglei Shu:
Low Dose CT Image Denoising Using Multi-level Feature Fusion Network and Edge Constraints. BIBM 2019: 727-731 - 2018
- [j5]Lingli Li
, Xiaodan Shang
, Jinbao Li, Jin Hu:
Learning Distance Metrics for Entity Resolution. IEEE Access 6: 54900-54909 (2018) - [j4]Lingli Li, Guangwei Bai, Hang Shen, Tianjing Wang:
基于簇的认知多媒体传感器网络实时路由协议 (Cluster-based Real-time Routing Protocol for Cognitive Multimedia Sensor Networks). 计算机科学 45(10): 83-88 (2018) - [c10]Lingli Li:
Entity Resolution in Big Data Era: Challenges and Applications. DASFAA Workshops 2018: 114-117 - [c9]Lingli Li, Xu Feng
, Hongyu Shao, Jinbao Li:
Source Selection for Inconsistency Detection. DASFAA (2) 2018: 370-385 - [c8]Jingya Hui, Lingli Li, Zhaogong Zhang:
Integration of Big Data: A Survey. ICPCSEE (1) 2018: 101-121 - 2016
- [j3]Lingli Li, Jianzhong Li, Hong Gao:
Evaluating entity-description conflict on duplicated data. J. Comb. Optim. 31(2): 918-941 (2016) - [c7]Lingli Li, Jinbao Li:
Feature Extraction for Effective Content-Based Cloth Image Retrieval in E-Commerce. ICYCSEE (1) 2016: 374-383 - 2015
- [j2]Lingli Li, Jianzhong Li, Hong Gao:
Rule-Based Method for Entity Resolution. IEEE Trans. Knowl. Data Eng. 27(1): 250-263 (2015) - 2014
- [j1]Yang Jiang
, Lingli Li, Haiyang Zhang
, Wei Feng, Tianwei Tan:
Lid Closure Mechanism of Yarrowia lipolytica Lipase in Methanol Investigated by Molecular Dynamics Simulation. J. Chem. Inf. Model. 54(7): 2033-2041 (2014) - [c6]Lingli Li, Falin Liu
, Guang Yang, Haoyu Wang:
A pruning method of joint 2D digital predistortion model for nonlinearity and I/Q imperfections in concurrent dual-band transmitters. ICIS 2014: 71-74 - 2013
- [c5]Jun Wu, Luo Zhong, Lingli Li, Aiyan Lu:
A Prediction Model Based on Time Series Data in Intelligent Transportation System. ICICA (2) 2013: 420-429 - 2011
- [c4]Lingli Li, Jianzhong Li, Hongzhi Wang
, Hong Gao:
Context-based entity description rule for entity resolution. CIKM 2011: 1725-1730 - 2010
- [c3]Lingli Li, Hongzhi Wang
, Hong Gao, Jianzhong Li:
EIF: A Framework of Effective Entity Identification. WAIM 2010: 717-728
2000 – 2009
- 2009
- [c2]Lingli Li, Hongzhi Wang
, Jianzhong Li, Hong Gao:
Efficient Algorithms for Skyline Top-K Keyword Queries on XML Streams. DASFAA 2009: 283-287 - 2008
- [c1]Lingli Li, Hongzhi Wang
, Jianzhong Li, Jizhou Luo:
Efficient Top-k Keyword Search on XML Streams. ICYCS 2008: 1041-1046
Coauthor Index
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last updated on 2025-01-29 21:20 CET by the dblp team
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