Xiaoyue Feng

According to our database, Xiaoyue Feng authored at least 58 papers between 2004 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

TRACE: Discovering Task-Specific Parameter via Adaptation-Aware Probing for Continual Fine-Tuning.

Xiaosong Han, Ke Chen, Xindi Dai, Di Liang, Minlong Peng, Wei Pang, Fausto Giunchiglia, Xiaoyue Feng, Yonghao Liu, Renchu Guan

CoRR, May, 2026

Advancing Graph Few-Shot Learning via In-Context Learning.

Renchu Guan, Yajun Wang, Chunli Guo, Bowen Cao, Fausto Giunchiglia, Wei Pang, Yonghao Liu, Xiaoyue Feng

CoRR, May, 2026

Improving Graph Few-shot Learning with Hyperbolic Space and Denoising Diffusion.

Yonghao Liu, Jialu Sun, Wei Pang, Fausto Giunchiglia, Ximing Li, Xiaoyue Feng, Renchu Guan

CoRR, April, 2026

A masked generative graph representation learning framework empowering precise spatial domain identification.

Chuyao Wang, Tongdong Zhang, Hang Sun, Zhipeng Wu, Shuo Liang, Xueting Wang, Meirong Du, Yanchun Liang, Xin Gao, Qi Tang, Dong Xu, Xiaoyue Feng, An Zeng, Renchu Guan

Bioinform., 2026

Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification.

Mengyu Li, Yonghao Liu, Fausto Giunchiglia, Ximing Li, Xiaoyue Feng, Renchu Guan

Proceedings of the ACM Web Conference 2026, 2026

SPARD: Single-step Inference with Adaptive Sampling in Residual Diffusion for Human Motion Prediction.

Yiming Zhang, Baojia Han, Ximing Li, Wei Pang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Hypergraph Contrastive Learning for both Homophilic and Heterophilic Hypergraphs.

Renchu Guan, Xuyang Li, Yachao Zhang, Wei Pang, Fausto Giunchiglia, Ximing Li, Yonghao Liu, Xiaoyue Feng

CoRR, November, 2025

L2SM: a query-optimized linked LSM-tree for HTAP workloads.

Xiaoyue Feng, Dashan Wei, Chaopeng Guo, Jie Song

Frontiers Comput. Sci., July, 2025

Adaptive container auto-scaling for fluctuating workloads in cloud.

Xiaoyue Feng, Sijia Zhang, Tianzhe Jiao, Chaopeng Guo, Jie Song

Future Gener. Comput. Syst., 2025

An Infrared-Visible Image Fusion Network with Channel-Switching for Low-Light Object Detection.

Tianzhe Jiao, Yuming Chen, Xiaoyue Feng, Chaopeng Guo, Jie Song

Comput. Mater. Continua, 2025

Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks.

Yonghao Liu, Mengyu Li, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng, Renchu Guan

Proceedings of the ACM on Web Conference 2025, 2025

Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration.

Yonghao Liu, Yajun Wang, Chunli Guo, Wei Pang, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport.

Yonghao Liu, Fausto Giunchiglia, Ximing Li, Lan Huang, Xiaoyue Feng, Renchu Guan

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Explainable LLM-Based Prenatal Depression Screening from Questionnaires.

Yuexin Li, Xiaoyue Feng, Renchu Guan, Xiaosong Han

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Panacea: Enhancing Graph Learning with Multimodal Semantics for Drug Repositioning.

Zijun Dou, Yun Zhang, Baokun Zhang, Lingxiao Li, Xiaoyue Feng, Renchu Guan, Xiaosong Han

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning.

Yonghao Liu, Mengyu Li, Wei Pang, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

A Simple Graph Contrastive Learning Framework for Short Text Classification.

Yonghao Liu, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng, Renchu Guan

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

JAPO: learning join and pushdown order for cloud-native join optimization.

Yuchen Yuan, Xiaoyue Feng, Bo Zhang, Pengyi Zhang, Jie Song

Frontiers Comput. Sci., December, 2024

SEOE: an option graph based semantically embedding method for prenatal depression detection.

Xiaosong Han, Mengchen Cao, Dong Xu, Xiaoyue Feng, Yanchun Liang, Xiaoduo Lang, Renchu Guan

Frontiers Comput. Sci., December, 2024

Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training.

Yonghao Liu, Mengyu Li, Ximing Li, Lan Huang, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng, Renchu Guan

ACM Trans. Knowl. Discov. Data, November, 2024

MSI-DTI: predicting drug-target interaction based on multi-source information and multi-head self-attention.

Wenchuan Zhao, Yufeng Yu, Guosheng Liu, Yanchun Liang, Dong Xu, Xiaoyue Feng, Renchu Guan

Briefings Bioinform., May, 2024

Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification.

Mengyu Li, Yonghao Liu, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan

CoRR, 2024

A Comprehensive Survey on Deep Learning Multi-Modal Fusion: Methods, Technologies and Applications.

Tianzhe Jiao, Chaopeng Guo, Xiaoyue Feng, Yuming Chen, Jie Song

Comput. Mater. Continua, 2024

A Simple but Effective Approach for Unsupervised Few-Shot Graph Classification.

Yonghao Liu, Lan Huang, Bowen Cao, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan

Proceedings of the ACM on Web Conference 2024, 2024

Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference.

Yonghao Liu, Mengyu Li, Di Liang, Ximing Li, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Enhancing Nested Named Entity Recognition in Chinese EMRs: A Collaborative Approach.

Hongtao Yue, Xiaoyue Feng, Hanchi Xu, Haoxuan Chu, Yushi Wang, Renchu Guan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Improved Graph Contrastive Learning for Short Text Classification.

Yonghao Liu, Lan Huang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

LiPTool: A tool for learning-based autonomous index placement in databases.

Xiaoyue Feng, Dashan Wei, Tianzhe Jiao, Chaopeng Guo, Dongqi Wang, Jie Song

SoftwareX, December, 2023

Cross-Domain Meta-Learner for Cold-Start Recommendation.

Renchu Guan, Haoyu Pang, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng

IEEE Trans. Knowl. Data Eng., August, 2023

Local and Global: Temporal Question Answering via Information Fusion.

Yonghao Liu, Di Liang, Mengyu Li, Fausto Giunchiglia, Ximing Li, Sirui Wang, Wei Wu, Lan Huang, Xiaoyue Feng, Renchu Guan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Deep Feature-Based Text Clustering and Its Explanation.

Renchu Guan, Hao Zhang, Yanchun Liang, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Learning Optimal Tree-Based Index Placement for Autonomous Database.

Xiaoyue Feng, Tianzhe Jiao, Chaopeng Guo, Jie Song

Proceedings of the Database and Expert Systems Applications, 2023

2022

A maturity model for AI-empowered cloud-native databases: from the perspective of resource management.

Xiaoyue Feng, Chaopeng Guo, Tianzhe Jiao, Jie Song

J. Cloud Comput., 2022

Discovering trends and hotspots of biosafety and biosecurity research via machine learning.

Renchu Guan, Haoyu Pang, Yanchun Liang, Zhongjun Shao, Xin Gao, Dong Xu, Xiaoyue Feng

Briefings Bioinform., 2022

PNMTA: A Pretrained Network Modulation and Task Adaptation Approach for User Cold-Start Recommendation.

Haoyu Pang, Fausto Giunchiglia, Ximing Li, Renchu Guan, Xiaoyue Feng

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Few-shot Node Classification on Attributed Networks with Graph Meta-learning.

Yonghao Liu, Mengyu Li, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Deployable and Continuable Meta-learning-Based Recommender System with Fast User-Incremental Updates.

Renchu Guan, Haoyu Pang, Fausto Giunchiglia, Ximing Li, Xuefeng Yang, Xiaoyue Feng

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results.

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Cancer Research Trend Analysis Based on Fusion Feature Representation.

Jingqiao Wu, Xiaoyue Feng, Renchu Guan, Yanchun Liang

Entropy, 2021

Deep Attention Diffusion Graph Neural Networks for Text Classification.

Yonghao Liu, Renchu Guan, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

VPALG: Paper-publication Prediction with Graph Neural Networks.

Renchu Guan, Yonghao Liu, Xiaoyue Feng, Ximing Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

COVID-19 Knowledge Graph for Drug and Vaccine Development.

Lan Huang, Hongrui Guan, Yanchun Liang, Renchu Guan, Xiaoyue Feng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Medical Scene Graphs and Reasoning.

Chuxue Cao, Yiming He, Yuzhen Chen, Chunli Song, Hao Ling, Renchu Guan, Xiaoyue Feng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

BioNMT: A Biomedical Neural Machine Translation System.

Hongtao Liu, Yanchun Liang, Liupu Wang, Xiaoyue Feng, Renchu Guan

Int. J. Comput. Commun. Control, November, 2020

Feature selection may improve deep neural networks for the bioinformatics problems.

Zheng Chen, Meng Pang, Zixin Zhao, Shuainan Li, Rui Miao, Yifan Zhang, Xiaoyue Feng, Xin Feng, Yexian Zhang, Meiyu Duan, Lan Huang, Fengfeng Zhou

Bioinform., 2020

2019

Relation path embedding in knowledge graphs.

Xixun Lin, Yanchun Liang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan

Neural Comput. Appl., 2019

Deep Residual Convolutional Neural Network for Protein-Protein Interaction Extraction.

Hao Zhang, Renchu Guan, Fengfeng Zhou, Yanchun Liang, Zhi-Hui Zhan, Lan Huang, Xiaoyue Feng

IEEE Access, 2019

2018

Text classification based on deep belief network and softmax regression.

Mingyang Jiang, Yanchun Liang, Xiaoyue Feng, Xiaojing Fan, Zhili Pei, Yu Xue, Renchu Guan

Neural Comput. Appl., 2018

A content-based recommender system for computer science publications.

Donghui Wang, Yanchun Liang, Dong Xu, Xiaoyue Feng, Renchu Guan

Knowl. Based Syst., 2018

Exploring Trends of Lung Cancer Research Based on Word Representation.

Jingqiao Wu, Yanchun Liang, Xiaoyue Feng, Gang Song

Proceedings of the Artificial Intelligence and Mobile Services - AIMS 2018, 2018

2017

Overfitting Reduction of Text Classification Based on AdaBELM.

Xiaoyue Feng, Yanchun Liang, Xiaohu Shi, Dong Xu, Xu Wang, Renchu Guan

Entropy, 2017

Protein-Protein Interaction Extraction Using Attention-Based Convolution Neural Networks.

Hao Zhang, Mary Qu Yang, Xiaoyue Feng, William Yang, Weida Tong, Renchu Guan

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016

A Hybrid Algorithm of Extreme Learning Machine and Sparse Auto-Encoder.

Yu Lin, Yanchun Liang, Shinichi Yoshida, Xiaoyue Feng, Renchu Guan

Proceedings of the Smart Computing and Communication, 2016

2008

Improved Quantum-Inspired Evolutionary Algorithm and Its Application to 3-SAT Problems.

Xiaoyue Feng, Enrico Blanzieri, Yanchun Liang

Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2007

A novel quantum swarm evolutionary algorithm and its applications.

Yan Wang, Xiaoyue Feng, Yanxin Huang, Dongbing Pu, Wengang Zhou, Yanchun Liang, Chunguang Zhou

Neurocomputing, 2007

2005

A Novel Quantum Swarm Evolutionary Algorithm for Solving 0-1 Knapsack Problem.

Yan Wang, Xiaoyue Feng, Yanxin Huang, Wengang Zhou, Yanchun Liang, Chunguang Zhou

Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004

A Hybrid Algorithm for Combining Forecasting Based on AFTER-PSO.

Xiaoyue Feng, Yanchun Liang, Yanfeng Sun, Heow Pueh Lee, Chunguang Zhou, Yan Wang

Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Training Minimal Uncertainty Neural Networks by Bayesian Theorem and Particle Swarm Optimization.

Yan Wang, Chunguang Zhou, Yanxin Huang, Xiaoyue Feng

Proceedings of the Neural Information Processing, 11th International Conference, 2004