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ORCIDHuiting Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j36]Peng Zhao
, Liang Wang, Xuyang Zhao, Huiting Liu, Xia Ji:
Few-shot learning based on prototype rectification with a self-attention mechanism. Expert Syst. Appl. 249: 123586 (2024)- [j35]Jianqiang Li, Lu Liu, MengChu Zhou, Ji-Jiang Yang, Shi Chen, Huiting Liu, Qing Wang, Hui Pan, Zhihua Sun, Feng Tan:
Feature selection and prediction of small-for-gestational-age infants. J. Ambient Intell. Humaniz. Comput. 15(3): 1881-1895 (2024) - [j34]Peng Zhao, Zilong Ye, Liang Wang, Huiting Liu, Xia Ji:
Multi-scale task-aware structure graph modeling for few-shot image recognition. Pattern Recognit. 156: 110855 (2024) - [j33]Dicheng Chen, Meijin Lin, Huiting Liu, Jiayu Li, Yirong Zhou, Taishan Kang, Liangjie Lin, Zhigang Wu, Jiazheng Wang, Jing Li, Jianzhong Lin, Xi Chen, Di Guo, Xiaobo Qu:
Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Macromolecular Signal. IEEE Trans. Biomed. Eng. 71(6): 1841-1852 (2024) - [j32]Huiting Liu, Yu Zhang, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu:
DeepCPR: Deep Path Reasoning Using Sequence of User-Preferred Attributes for Conversational Recommendation. ACM Trans. Knowl. Discov. Data 18(1): 15:1-15:22 (2024) - [c6]Peng Zhao, Yin Wang, Wei Wang, Jie Mu, Huiting Liu, Cong Wang, Xiaochun Cao:
Multi-Attention Based Visual-Semantic Interaction for Few-Shot Learning. IJCAI 2024: 1753-1761 - [c5]Mingxu Zhou, Dengming Zhang, Weitao You, Ziqi Yu, Yifei Wu, Chenghao Pan, Huiting Liu, Tianyu Lao, Pei Chen:
StyleFactory: Towards Better Style Alignment in Image Creation through Style-Strength-Based Control and Evaluation. UIST 2024: 107:1-107:15 - 2023
- [j31]Huiting Liu, Kun Cai, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu:
REDRL: A review-enhanced Deep Reinforcement Learning model for interactive recommendation. Expert Syst. Appl. 213(Part): 118926 (2023) - [j30]Peng Zhao, Huihui Xue, Xia Ji, Huiting Liu, Li Han:
Zero-shot learning via visual feature enhancement and dual classifier learning for image recognition. Inf. Sci. 642: 119161 (2023) - [j29]Huiting Liu, Yi Chen, Pei-Pei Li, Peng Zhao, Xindong Wu:
Enhancing review-based user representation on learned social graph for recommendation. Knowl. Based Syst. 266: 110438 (2023) - [j28]Huiting Liu, Lei Wang, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu:
Relation-propagation meta-learning on an explicit preference graph for cold-start recommendation. Knowl. Based Syst. 272: 110579 (2023) - [j27]Peng Zhao, Yi Li, Baowei Tang, Huiting Liu, Sheng Yao:
Feature relocation network for fine-grained image classification. Neural Networks 161: 306-317 (2023) - [j26]Zicheng Wang, Huiting Liu, Tianfeng Li, Lijuan Zhou, Mingxing Zhou:
The Impact of Internet Use on Citizens' Trust in Government: The Mediating Role of Sense of Security. Syst. 11(1): 47 (2023) - [j25]Dicheng Chen, Wanqi Hu, Huiting Liu, Yirong Zhou, Tianyu Qiu, Yihui Huang, Zi Wang, Meijin Lin, Liangjie Lin, Zhigang Wu, Jiazheng Wang, Hao Chen, Xi Chen, Gen Yan, Di Guo, Jianzhong Lin, Xiaobo Qu:
Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few in Vivo Data. IEEE Trans. Computational Imaging 9: 448-458 (2023) - [c4]Bingrong Lin, Zhi Yang, Minsheng Yang, Xiaole Xie, Xiong Wang, Huiting Liu, Yang Lan:
Handwritten Digital Image Recognition based on Fusion of Multiple Machine Vision Algorithms. ICITEE 2023: 426-431 - [i4]Dicheng Chen, Meijin Lin, Huiting Liu, Jiayu Li, Yirong Zhou, Taishan Kang, Liangjie Lin, Zhigang Wu, Jiazheng Wang, Jing Li, Jianzhong Lin, Xi Chen, Di Guo, Xiaobo Qu:
Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Overall Macromolecular Signal. CoRR abs/2306.09681 (2023) - 2022
- [j24]Mingxing Zhou, Huiting Liu, Zicheng Wang:
Can Smart City Construction Promote the Level of Public Services? Quantitative Evidence From China. IEEE Access 10: 120923-120935 (2022) - [j23]Huiting Liu, Qian Liu, Peipei Li, Peng Zhao, Xindong Wu:
A deep selective learning network for cross-domain recommendation. Appl. Soft Comput. 125: 109160 (2022) - [j22]Peng Zhao, Shiyi Zhao, Xuyang Zhao, Huiting Liu, Xia Ji:
Partial multi-label learning based on sparse asymmetric label correlations. Knowl. Based Syst. 245: 108601 (2022) - [j21]Zicheng Wang, Huiting Liu, Lijuan Zhou, Wei Zhang, Mingxing Zhou:
Does Internet Use Affect Citizens' Perception of Social Safety? A Cross-Sectional Survey in China. Syst. 10(6): 232 (2022) - [j20]Qing Han, Huiting Liu, Weidong Min, Tiemei Huang, Deyu Lin, Qi Wang:
3D Skeleton and Two Streams Approach to Person Re-identification Using Optimized Region Matching. ACM Trans. Multim. Comput. Commun. Appl. 18(2s): 129:1-129:17 (2022) - [i3]Huiting Liu, Avinesh P. V. S., Siddharth Patwardhan, Peter Grasch, Sachin Agarwal:
Model Stability with Continuous Data Updates. CoRR abs/2201.05692 (2022) - [i2]Haoyu Zuo, Qianzhi Jing, Tianqi Song, Huiting Liu, Lingyun Sun, Peter R. N. Childs, Liuqing Chen:
WikiLink: an encyclopedia-based semantic network for design innovation. CoRR abs/2208.14349 (2022) - 2021
- [j19]Huiting Liu, Jindou Zhao, Peipei Li, Peng Zhao, Xindong Wu:
Shared-view and specific-view information extraction for recommendation. Expert Syst. Appl. 186: 115752 (2021) - [j18]Huiting Liu, Geng Chen, Pei-Pei Li, Peng Zhao, Xindong Wu:
Multi-label text classification via joint learning from label embedding and label correlation. Neurocomputing 460: 385-398 (2021) - [j17]Huiting Liu, Lingling Guo, Peipei Li, Peng Zhao, Xindong Wu:
Collaborative filtering with a deep adversarial and attention network for cross-domain recommendation. Inf. Sci. 565: 370-389 (2021) - [j16]Peng Zhao, Siying Zhang, Jinhui Liu, Huiting Liu:
Zero-shot Learning via the fusion of generation and embedding for image recognition. Inf. Sci. 578: 831-847 (2021) - [j15]Peng Zhao, Tao Wu, Shiyi Zhao, Huiting Liu:
Robust transfer learning based on Geometric Mean Metric Learning. Knowl. Based Syst. 227: 107227 (2021) - [c3]Huiting Liu:
The Coordinated Development of Vocational College Talent Training Model and Student Financial Aid System. CIPAE 2021: 298-301 - 2020
- [j14]Peng Zhao, Guoqin Wu, Sheng Yao, Huiting Liu:
A Transductive Transfer Learning Approach Based on Manifold Learning. Comput. Sci. Eng. 22(1): 77-87 (2020) - [j13]Jianguo Chen, Lin Liu, Huiting Liu, Dongping Long, Chong Xu, Hanlin Zhou:
The Spatial Heterogeneity of Factors of Drug Dealing: A Case Study from ZG, China. ISPRS Int. J. Geo Inf. 9(4): 205 (2020) - [j12]Huiting Liu, Huimin Liu, Qiang Ji, Peng Zhao, Xindong Wu:
Collaborative deep recommendation with global and local item correlations. Neurocomputing 385: 278-291 (2020) - [j11]Jianqiang Li, Lu Liu, Jingchao Sun, Haowen Mo, Ji-Jiang Yang, Shi Chen, Huiting Liu, Qing Wang, Hui Pan:
Comparison of Different Machine Learning Approaches to Predict Small for Gestational Age Infants. IEEE Trans. Big Data 6(2): 334-346 (2020)
2010 – 2019
- 2019
- [j10]Huiting Liu, Lili Wang, Peng Zhao, Xindong Wu:
Document Specific Supervised Keyphrase Extraction With Strong Semantic Relations. IEEE Access 7: 167507-167520 (2019) - 2018
- [j9]Huiting Liu, Lili Wang, Zhizhong Liu, Peng Zhao, Xindong Wu:
Efficient pattern matching with periodical wildcards in uncertain sequences. Intell. Data Anal. 22(4): 829-842 (2018) - [j8]Huiting Liu, Liangquan Yang, Chao Ling, Xindong Wu:
Collaborative social deep learning for celebrity recommendation. Intell. Data Anal. 22(6): 1375-1394 (2018) - [j7]Huiting Liu, Chao Ling, Liangquan Yang, Peng Zhao:
Supervised Convolutional Matrix Factorization for Document Recommendation. Int. J. Comput. Intell. Appl. 17(4): 1850018:1-1850018:21 (2018) - [j6]Huiting Liu, Kaishen Zhou, Peng Zhao, Sheng Yao:
Mining frequent itemsets over uncertain data streams. Int. J. High Perform. Comput. Netw. 11(4): 312-321 (2018) - [j5]Huiting Liu, Lei Cheng, Xiaoxue Guo, Peng Zhao:
实时个性化微博推荐系统 (Real-time Personalized Micro-blog Recommendation System). 计算机科学 45(9): 253-259 (2018) - [j4]Peng Zhao, Wei Wang, Yijuan Lu, Huiting Liu, Sheng Yao:
Transfer robust sparse coding based on graph and joint distribution adaption for image representation. Knowl. Based Syst. 147: 1-11 (2018) - 2017
- [i1]Huiting Liu, Tao Lin, Hanfei Sun, Weijian Lin, Chih-Wei Chang, Teng Zhong, Alexander I. Rudnicky:
RubyStar: A Non-Task-Oriented Mixture Model Dialog System. CoRR abs/1711.02781 (2017) - 2016
- [j3]Yiming Li, Liping Ni, Qinghua Fang, Huiting Liu:
基于近邻传播的文本数据流聚类算法研究 (Research of Text Data Streams Clustering Algorithm Based on Affinity Propagation). 计算机科学 43(5): 223-229 (2016) - 2015
- [j2]Li Han, Huanyan Qian, Huiting Liu:
无线多跳网络上基于网络编码的多源多播算法 (Algorithm for Multisource Multicast with Network Coding over Multi-hop Wireless Networks). 计算机科学 42(10): 88-91 (2015) - 2012
- [j1]Peihong Wang, Huiting Liu, Xuhan Dai, Zhuoqing Yang, Zhongzhu Wang, Xiao-Lin Zhao:
Design, simulation, fabrication and characterization of a micro electromagnetic vibration energy harvester with sandwiched structure and air channel. Microelectron. J. 43(2): 154-159 (2012)
2000 – 2009
- 2007
- [c2]Huiting Liu, Zhiwei Ni, Jianyang Li:
Extracting Trend of Time Series Based on Improved Empirical Mode Decomposition Method. APWeb/WAIM 2007: 341-349 - 2006
- [c1]Huiting Liu, Zhiwei Ni, Jianyang Li:
Time Series Similar Pattern Matching Based on Empirical Mode Decomposition. ISDA (1) 2006: 644-648
Coauthor Index
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last updated on 2024-11-06 21:35 CET by the dblp team
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