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2020 – today
- 2024
[j16]Yuchen Yuan, Xiaoyue Feng, Bo Zhang, Pengyi Zhang, Jie Song:
JAPO: learning join and pushdown order for cloud-native join optimization. Frontiers Comput. Sci. 18(6): 186614 (2024)- [j15]Xiaosong Han, Mengchen Cao, Dong Xu, Xiaoyue Feng, Yanchun Liang, Xiaoduo Lang, Renchu Guan:
SEOE: an option graph based semantically embedding method for prenatal depression detection. Frontiers Comput. Sci. 18(6): 186911 (2024) - [c21]Yonghao Liu
, Lan Huang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan:
Improved Graph Contrastive Learning for Short Text Classification. AAAI 2024: 18716-18724 - [c20]Yonghao Liu, Mengyu Li, Di Liang, Ximing Li, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan:
Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference. IJCAI 2024: 4605-4613 - [c19]Yonghao Liu, Lan Huang, Bowen Cao, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan:
A Simple but Effective Approach for Unsupervised Few-Shot Graph Classification. WWW 2024: 4249-4259 - [i3]Mengyu Li, Yonghao Liu, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan:
Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification. CoRR abs/2405.11524 (2024) - [i2]Yonghao Liu, Mengyu Li, Di Liang, Ximing Li, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan:
Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference. CoRR abs/2405.12434 (2024) - [i1]Yonghao Liu, Mengyu Li, Ximing Li, Lan Huang, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng, Renchu Guan:
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training. CoRR abs/2407.14732 (2024) - 2023
- [j14]Xiaoyue Feng, Dashan Wei, Tianzhe Jiao, Chaopeng Guo, Dongqi Wang, Jie Song:
LiPTool: A tool for learning-based autonomous index placement in databases. SoftwareX 24: 101543 (2023) - [j13]Renchu Guan, Haoyu Pang, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng:
Cross-Domain Meta-Learner for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 35(8): 7829-7843 (2023) - [c18]Xiaoyue Feng, Tianzhe Jiao, Chaopeng Guo, Jie Song:
Learning Optimal Tree-Based Index Placement for Autonomous Database. DEXA (1) 2023: 304-309 - [c17]Renchu Guan, Hao Zhang, Yanchun Liang, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng:
Deep Feature-Based Text Clustering and Its Explanation. ICDE 2023: 3871-3872 - [c16]Yonghao Liu, Di Liang, Mengyu Li, Fausto Giunchiglia, Ximing Li, Sirui Wang, Wei Wu, Lan Huang, Xiaoyue Feng, Renchu Guan:
Local and Global: Temporal Question Answering via Information Fusion. IJCAI 2023: 5141-5149 - 2022
- [j12]Renchu Guan, Haoyu Pang, Yanchun Liang, Zhongjun Shao, Xin Gao, Dong Xu, Xiaoyue Feng:
Discovering trends and hotspots of biosafety and biosecurity research via machine learning. Briefings Bioinform. 23(5) (2022) - [j11]Xiaoyue Feng, Chaopeng Guo, Tianzhe Jiao, Jie Song:
A maturity model for AI-empowered cloud-native databases: from the perspective of resource management. J. Cloud Comput. 11: 39 (2022) - [j10]Renchu Guan, Hao Zhang, Yanchun Liang, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng:
Deep Feature-Based Text Clustering and its Explanation. IEEE Trans. Knowl. Data Eng. 34(8): 3669-3680 (2022) - [c15]Ruicheng Feng, Chongyi Li, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Jun Jiang, Qingyu Yang, Chen Change Loy, Jinwei Gu, Yurui Zhu, Xi Wang, Xueyang Fu, Xiaowei Hu, Jinfan Hu, Xina Liu, Xiangyu Chen, Chao Dong, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Xuhao Jiang, Guangqi Shao, Xiaotao Wang, Lei Lei, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Tao Huang, Zhenxuan Fang, Mengluan Huang, Junwei Xu, Yong Zhang, Yuechi Yang, Qidi Shu, Zhiwen Yang, Shaocong Li, Mingde Yao, Ruikang Xu, Yuanshen Guan, Jie Huang, Zhiwei Xiong, Hangyan Zhu, Ming Liu, Shaohui Liu, Wangmeng Zuo, Zhuang Jia, Binbin Song, Ziqi Song, Guiting Mao, Ben Hou, Zhimou Liu, Yi Ke, Dengpei Ouyang, Dekui Han, Jinghao Zhang, Qi Zhu, Naishan Zheng, Feng Zhao, Wu Jin, Marcos V. Conde, Sabari Nathan, Radu Timofte, Tianyi Xu, Jun Xu, P. S. Hrishikesh, Densen Puthussery, C. V. Jiji, Biao Jiang, Yuhan Ding, WanZhang Li, Xiaoyue Feng, Sijing Chen, Tianheng Zhong, Jiyang Lu, Hongming Chen, Zhentao Fan, Xiang Chen:
MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results. ECCV Workshops (5) 2022: 60-77 - [c14]Yonghao Liu, Mengyu Li, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan:
Few-shot Node Classification on Attributed Networks with Graph Meta-learning. SIGIR 2022: 471-481 - [c13]Renchu Guan, Haoyu Pang, Fausto Giunchiglia, Ximing Li, Xuefeng Yang, Xiaoyue Feng:
Deployable and Continuable Meta-learning-Based Recommender System with Fast User-Incremental Updates. SIGIR 2022: 1423-1433 - [c12]Haoyu Pang, Fausto Giunchiglia, Ximing Li, Renchu Guan, Xiaoyue Feng:
PNMTA: A Pretrained Network Modulation and Task Adaptation Approach for User Cold-Start Recommendation. WWW 2022: 348-359 - 2021
- [j9]Jingqiao Wu, Xiaoyue Feng, Renchu Guan, Yanchun Liang:
Cancer Research Trend Analysis Based on Fusion Feature Representation. Entropy 23(3): 338 (2021) - [c11]Lan Huang, Hongrui Guan, Yanchun Liang, Renchu Guan, Xiaoyue Feng:
COVID-19 Knowledge Graph for Drug and Vaccine Development. BIBM 2021: 328-333 - [c10]Chuxue Cao, Yiming He, Yuzhen Chen, Chunli Song, Hao Ling, Renchu Guan, Xiaoyue Feng:
Medical Scene Graphs and Reasoning. BIBM 2021: 645-648 - [c9]Renchu Guan, Yonghao Liu, Xiaoyue Feng, Ximing Li:
VPALG: Paper-publication Prediction with Graph Neural Networks. CIKM 2021: 617-626 - [c8]Yonghao Liu, Renchu Guan, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng:
Deep Attention Diffusion Graph Neural Networks for Text Classification. EMNLP (1) 2021: 8142-8152 - 2020
- [j8]Zheng Chen, Meng Pang, Zixin Zhao, Shuainan Li, Rui Miao, Yifan Zhang, Xiaoyue Feng, Xin Feng, Yexian Zhang, Meiyu Duan, Lan Huang, Fengfeng Zhou:
Feature selection may improve deep neural networks for the bioinformatics problems. Bioinform. 36(5): 1542-1552 (2020) - [j7]Hongtao Liu, Yanchun Liang, Liupu Wang, Xiaoyue Feng, Renchu Guan:
BioNMT: A Biomedical Neural Machine Translation System. Int. J. Comput. Commun. Control 15(6) (2020)
2010 – 2019
- 2019
- [j6]Hao Zhang, Renchu Guan, Fengfeng Zhou, Yanchun Liang, Zhi-Hui Zhan, Lan Huang, Xiaoyue Feng:
Deep Residual Convolutional Neural Network for Protein-Protein Interaction Extraction. IEEE Access 7: 89354-89365 (2019) - [j5]Xixun Lin, Yanchun Liang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan:
Relation path embedding in knowledge graphs. Neural Comput. Appl. 31(9): 5629-5639 (2019) - 2018
- [j4]Donghui Wang, Yanchun Liang, Dong Xu, Xiaoyue Feng, Renchu Guan:
A content-based recommender system for computer science publications. Knowl. Based Syst. 157: 1-9 (2018) - [j3]Mingyang Jiang, Yanchun Liang, Xiaoyue Feng, Xiaojing Fan, Zhili Pei, Yu Xue, Renchu Guan:
Text classification based on deep belief network and softmax regression. Neural Comput. Appl. 29(1): 61-70 (2018) - [c7]Jingqiao Wu, Yanchun Liang, Xiaoyue Feng, Gang Song:
Exploring Trends of Lung Cancer Research Based on Word Representation. AIMS 2018: 199-209 - 2017
- [j2]Xiaoyue Feng, Yanchun Liang, Xiaohu Shi, Dong Xu, Xu Wang, Renchu Guan:
Overfitting Reduction of Text Classification Based on AdaBELM. Entropy 19(7): 330 (2017) - [c6]Hao Zhang, Mary Qu Yang, Xiaoyue Feng, William Yang, Weida Tong, Renchu Guan:
Protein-Protein Interaction Extraction Using Attention-Based Convolution Neural Networks. BCB 2017: 770-771 - 2016
- [c5]Yu Lin, Yanchun Liang, Shinichi Yoshida, Xiaoyue Feng, Renchu Guan:
A Hybrid Algorithm of Extreme Learning Machine and Sparse Auto-Encoder. SmartCom 2016: 194-204
2000 – 2009
- 2008
- [c4]Xiaoyue Feng, Enrico Blanzieri, Yanchun Liang:
Improved Quantum-Inspired Evolutionary Algorithm and Its Application to 3-SAT Problems. CSSE (1) 2008: 333-336 - 2007
- [j1]Yan Wang, Xiaoyue Feng, Yanxin Huang, Dongbing Pu, Wengang Zhou, Yanchun Liang, Chunguang Zhou:
A novel quantum swarm evolutionary algorithm and its applications. Neurocomputing 70(4-6): 633-640 (2007) - 2005
- [c3]Yan Wang, Xiaoyue Feng, Yanxin Huang, Wengang Zhou, Yanchun Liang, Chunguang Zhou:
A Novel Quantum Swarm Evolutionary Algorithm for Solving 0-1 Knapsack Problem. ICNC (2) 2005: 698-704 - 2004
- [c2]Yan Wang, Chunguang Zhou, Yanxin Huang, Xiaoyue Feng:
Training Minimal Uncertainty Neural Networks by Bayesian Theorem and Particle Swarm Optimization. ICONIP 2004: 579-584 - [c1]Xiaoyue Feng, Yanchun Liang, Yanfeng Sun, Heow Pueh Lee, Chunguang Zhou, Yan Wang:
A Hybrid Algorithm for Combining Forecasting Based on AFTER-PSO. PRICAI 2004: 942-943
Coauthor Index
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last updated on 2024-10-21 21:29 CEST by the dblp team
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