Training Minimal Uncertainty Neural Networks by Bayesian Theorem and Particle Swarm Optimization. - Yan Wang 028; Chunguang Zhou; Yanxin Huang; Xiaoyue Feng (ICONIP, 2004)

A Hybrid Algorithm for Combining Forecasting Based on AFTER-PSO. - Xiaoyue Feng; Yanchun Liang 001; Yanfeng Sun; Heow Pueh Lee; Chunguang Zhou; Yan Wang 028 (PRICAI, 2004)

A Novel Quantum Swarm Evolutionary Algorithm for Solving 0-1 Knapsack Problem. - Yan Wang 028; Xiaoyue Feng; Yanxin Huang; Wengang Zhou; Yanchun Liang 001; Chunguang Zhou (ICNC (2), 2005)

A novel quantum swarm evolutionary algorithm and its applications. - Yan Wang 028; Xiaoyue Feng; Yanxin Huang; Dongbing Pu; Wengang Zhou; Yanchun Liang 001; Chunguang Zhou (Neurocomputing, 2007)

Improved Quantum-Inspired Evolutionary Algorithm and Its Application to 3-SAT Problems. - Xiaoyue Feng; Enrico Blanzieri; Yanchun Liang 001 (CSSE (1), 2008)

A Hybrid Algorithm of Extreme Learning Machine and Sparse Auto-Encoder. - Yu Lin; Yanchun Liang 001; Shinichi Yoshida; Xiaoyue Feng; Renchu Guan (SmartCom, 2016)

Protein-Protein Interaction Extraction Using Attention-Based Convolution Neural Networks. - Hao Zhang; Mary Qu Yang; Xiaoyue Feng; William Yang; Weida Tong; Renchu Guan (BCB, 2017)

Overfitting Reduction of Text Classification Based on AdaBELM. - Xiaoyue Feng; Yanchun Liang 001; Xiaohu Shi; Dong Xu 002; Xu Wang; Renchu Guan (Entropy, 2017)

Exploring Trends of Lung Cancer Research Based on Word Representation. - Jingqiao Wu; Yanchun Liang 001; Xiaoyue Feng; Gang Song (AIMS, 2018)

A content-based recommender system for computer science publications. - Donghui Wang; Yanchun Liang 001; Dong Xu 002; Xiaoyue Feng; Renchu Guan (Knowl. Based Syst., 2018)

Text classification based on deep belief network and softmax regression. - Mingyang Jiang; Yanchun Liang 001; Xiaoyue Feng; Xiaojing Fan; Zhili Pei; Yu Xue 003; Renchu Guan (Neural Comput. Appl., 2018)

Deep Residual Convolutional Neural Network for Protein-Protein Interaction Extraction. - Hao Zhang; Renchu Guan; Fengfeng Zhou; Yanchun Liang 001; Zhi-Hui Zhan; Lan Huang 002; Xiaoyue Feng (IEEE Access, 2019)

Relation path embedding in knowledge graphs. - Xixun Lin; Yanchun Liang 001; Fausto Giunchiglia; Xiaoyue Feng; Renchu Guan (Neural Comput. Appl., 2019)

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 004; Yexian Zhang; Meiyu Duan; Lan Huang 002; Fengfeng Zhou (Bioinform., 2020)

BioNMT: A Biomedical Neural Machine Translation System. - Hongtao Liu; Yanchun Liang 001; Liupu Wang; Xiaoyue Feng; Renchu Guan (Int. J. Comput. Commun. Control, 2020)

Medical Scene Graphs and Reasoning. - Chuxue Cao; Yiming He; Yuzhen Chen; Chunli Song; Hao Ling; Renchu Guan; Xiaoyue Feng (BIBM, 2021)

COVID-19 Knowledge Graph for Drug and Vaccine Development. - Lan Huang 002; Hongrui Guan; Yanchun Liang 001; Renchu Guan; Xiaoyue Feng (BIBM, 2021)

VPALG: Paper-publication Prediction with Graph Neural Networks. - Renchu Guan; Yonghao Liu 001; Xiaoyue Feng; Ximing Li 002 (CIKM, 2021)

Deep Attention Diffusion Graph Neural Networks for Text Classification. - Yonghao Liu 001; Renchu Guan; Fausto Giunchiglia; Yanchun Liang 001; Xiaoyue Feng (EMNLP (1), 2021)

Cancer Research Trend Analysis Based on Fusion Feature Representation. - Jingqiao Wu; Xiaoyue Feng; Renchu Guan; Yanchun Liang 001 (Entropy, 2021)

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; et al. (ECCV Workshops (5), 2022)

Deployable and Continuable Meta-learning-Based Recommender System with Fast User-Incremental Updates. - Renchu Guan; Haoyu Pang; Fausto Giunchiglia; Ximing Li 002; Xuefeng Yang; Xiaoyue Feng (SIGIR, 2022)

Few-shot Node Classification on Attributed Networks with Graph Meta-learning. - Yonghao Liu 001; Mengyu Li; Ximing Li 002; Fausto Giunchiglia; Xiaoyue Feng; Renchu Guan (SIGIR, 2022)

PNMTA: A Pretrained Network Modulation and Task Adaptation Approach for User Cold-Start Recommendation. - Haoyu Pang; Fausto Giunchiglia; Ximing Li 002; Renchu Guan; Xiaoyue Feng (WWW, 2022)

Discovering trends and hotspots of biosafety and biosecurity research via machine learning. - Renchu Guan; Haoyu Pang; Yanchun Liang 001; Zhongjun Shao; Xin Gao 001; Dong Xu 002; Xiaoyue Feng (Briefings Bioinform., 2022)

A maturity model for AI-empowered cloud-native databases: from the perspective of resource management. - Xiaoyue Feng; Chaopeng Guo; Tianzhe Jiao; Jie Song 001 (J. Cloud Comput., 2022)

Deep Feature-Based Text Clustering and its Explanation. - Renchu Guan; Hao Zhang; Yanchun Liang 001; Fausto Giunchiglia; Lan Huang 002; Xiaoyue Feng (IEEE Trans. Knowl. Data Eng., 2022)

Learning Optimal Tree-Based Index Placement for Autonomous Database. - Xiaoyue Feng; Tianzhe Jiao; Chaopeng Guo; Jie Song 001 (DEXA (1), 2023)

Local and Global: Temporal Question Answering via Information Fusion. - Yonghao Liu 001; Di Liang; Mengyu Li; Fausto Giunchiglia; Ximing Li 002; Sirui Wang; Wei Wu; Lan Huang 002; Xiaoyue Feng; Renchu Guan (IJCAI, 2023)

Cross-Domain Meta-Learner for Cold-Start Recommendation. - Renchu Guan; Haoyu Pang; Fausto Giunchiglia; Yanchun Liang 001; Xiaoyue Feng (IEEE Trans. Knowl. Data Eng., 2023)

LiPTool: A tool for learning-based autonomous index placement in databases. - Xiaoyue Feng; Dashan Wei; Tianzhe Jiao; Chaopeng Guo; Dongqi Wang; Jie Song 001 (SoftwareX, 2023)

Improved Graph Contrastive Learning for Short Text Classification. - Yonghao Liu 001; Lan Huang 002; Fausto Giunchiglia; Xiaoyue Feng; Renchu Guan (AAAI, 2024)

Enhancing Nested Named Entity Recognition in Chinese EMRs: A Collaborative Approach. - Hongtao Yue; Xiaoyue Feng; Hanchi Xu; Haoxuan Chu; Yushi Wang; Renchu Guan (BIBM, 2024)

Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference. - Yonghao Liu 001; Mengyu Li; Di Liang; Ximing Li 002; Fausto Giunchiglia; Lan Huang 002; Xiaoyue Feng; Renchu Guan (IJCAI, 2024)

A Simple but Effective Approach for Unsupervised Few-Shot Graph Classification. - Yonghao Liu 001; Lan Huang 002; Bowen Cao; Ximing Li 002; Fausto Giunchiglia; Xiaoyue Feng; Renchu Guan (WWW, 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 001; Dong Xu 002; Xiaoyue Feng; Renchu Guan (Briefings Bioinform., 2024)

Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification. - Mengyu Li; Yonghao Liu 001; Fausto Giunchiglia; Xiaoyue Feng; Renchu Guan (CoRR, 2024)

Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training. - Yonghao Liu 001; Mengyu Li; Ximing Li 002; Lan Huang 002; Fausto Giunchiglia; Yanchun Liang 001; Xiaoyue Feng; Renchu Guan (ACM Trans. Knowl. Discov. Data, 2024)

SEOE: an option graph based semantically embedding method for prenatal depression detection. - Xiaosong Han; Mengchen Cao; Dong Xu 002; Xiaoyue Feng; Yanchun Liang 001; Xiaoduo Lang; Renchu Guan (Frontiers Comput. Sci., 2024)

JAPO: learning join and pushdown order for cloud-native join optimization. - Yuchen Yuan; Xiaoyue Feng; Bo Zhang; Pengyi Zhang; Jie Song 001 (Frontiers Comput. Sci., 2024)

A Simple Graph Contrastive Learning Framework for Short Text Classification. - Yonghao Liu 001; Fausto Giunchiglia; Lan Huang 002; Ximing Li 002; Xiaoyue Feng; Renchu Guan (AAAI, 2025)

Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning. - Yonghao Liu 001; Mengyu Li; Wei Pang 001; Fausto Giunchiglia; Lan Huang 002; Xiaoyue Feng; Renchu Guan (AAAI, 2025)

Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport. - Yonghao Liu 001; Fausto Giunchiglia; Ximing Li 002; Lan Huang 002; Xiaoyue Feng; Renchu Guan (KDD (1), 2025)

Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks. - Yonghao Liu 001; Mengyu Li; Fausto Giunchiglia; Lan Huang 002; Ximing Li 002; Xiaoyue Feng; Renchu Guan (WWW, 2025)

Adaptive container auto-scaling for fluctuating workloads in cloud. - Xiaoyue Feng; Sijia Zhang; Tianzhe Jiao; Chaopeng Guo; Jie Song 001 (Future Gener. Comput. Syst., 2025)

L2SM: a query-optimized linked LSM-tree for HTAP workloads. - Xiaoyue Feng; Dashan Wei; Chaopeng Guo; Jie Song 001 (Frontiers Comput. Sci., 2025)