Web API Recommendation with Features Ensemble and Learning-to-Rank. - Hua Zhao; Jing Wang; Qimin Zhou; Xin Wang 114; Hao Wu 010 (Big Data (CCF), 2019)

Mashup-Oriented API Recommendation via Random Walk on Knowledge Graph. - Xin Wang 114; Hao Wu 010; Ching-Hsien Hsu (IEEE Access, 2019)

A Spatial and Sequential Combined Method for Web Service Classification. - Xin Wang 114; Jin Liu 016; Xiao Liu 004; Xiaohui Cui; Hao Wu 010 (APWeb/WAIM (1), 2020)

A Novel Dual-Graph Convolutional Network based Web Service Classification Framework. - Xin Wang 114; Jin Liu 016; Xiao Liu 004; Xiaohui Cui; Hao Wu 010 (ICWS, 2020)

Detecting and Explaining Self-Admitted Technical Debts with Attention-based Neural Networks. - Xin Wang 114; Jin Liu 016; Li Li 029; Xiao Chen 002; Xiao Liu 004; Hao Wu 010 (ASE, 2020)

ServiceBERT: A Pre-trained Model for Web Service Tagging and Recommendation. - Xin Wang 114; Pingyi Zhou; Yasheng Wang; Xiao Liu 004; Jin Liu 016; Hao Wu 010 (ICSOC, 2021)

Time-aware User Modeling with Check-in Time Prediction for Next POI Recommendation. - Xin Wang 114; Xiao Liu 004; Li Li 029; Xiao Chen 002; Jin Liu 016; Hao Wu 010 (ICWS, 2021)

Relational Graph Neural Network with Neighbor Interactions for Bundle Recommendation Service. - Xin Wang 114; Xiao Liu 004; Jin Liu 016; Hao Wu 010 (ICWS, 2021)

On Modeling Link Flooding Attacks and Defenses. - Xin Wang 114; Xiaobo Ma; Jiahao Peng; Jianfeng Li 006; Lei Xue 001; Wenjun Hu; Li Feng (IEEE Access, 2021)

CLSEBERT: Contrastive Learning for Syntax Enhanced Code Pre-Trained Model. - Xin Wang 114; Yasheng Wang; Pingyi Zhou; Fei Mi; Meng Xiao; Yadao Wang; Li Li 029; Xiao Liu 004; Hao Wu 010; Jin Liu 016; Xin Jiang 002 (CoRR, 2021)

A novel knowledge graph embedding based API recommendation method for Mashup development. - Xin Wang 114; Xiao Liu 004; Jin Liu 016; Xiaomei Chen; Hao Wu 010 (World Wide Web, 2021)

Compilable Neural Code Generation with Compiler Feedback. - Xin Wang 114; Yasheng Wang; Yao Wan 001; Fei Mi; Yitong Li; Pingyi Zhou; Jin Liu 016; Hao Wu 010; Xin Jiang 002; Qun Liu 001 (ACL (Findings), 2022)

Self-gated FM: Revisiting the Weight of Feature Interactions for CTR Prediction. - Zhongxue Li; Hao Wu 010; Xin Wang 114; Yiji Zhao; Lei Zhang 130 (CollaborateCom (1), 2022)

Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation. - Yihe Wang; Yitong Li; Yasheng Wang; Fei Mi; Pingyi Zhou; Xin Wang 114; Jin Liu 016; Xin Jiang 002; Qun Liu 001 (COLING, 2022)

Test-Driven Multi-Task Learning with Functionally Equivalent Code Transformation for Neural Code Generation. - Xin Wang 114; Xiao Liu 004; Pingyi Zhou; Qixia Liu; Jin Liu 016; Hao Wu 010; Xiaohui Cui (ASE, 2022)

CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training. - Xin Wang 114; Yasheng Wang; Yao Wan 001; Jiawei Wang 003; Pingyi Zhou; Li Li 029; Hao Wu 010; Jin Liu 016 (NAACL-HLT (Findings), 2022)

PanGu-Coder: Program Synthesis with Function-Level Language Modeling. - Fenia Christopoulou; Gerasimos Lampouras; Milan Gritta; Guchun Zhang; Yinpeng Guo; Zhongqi Li; Qi Zhang; Meng Xiao; Bo Shen; Lin Li; Hao Yu 005; Li Yan; et al. (CoRR, 2022)

Exploiting gated graph neural network for detecting and explaining self-admitted technical debts. - Jiaojiao Yu 001; Kunsong Zhao; Jin Liu 016; Xiao Liu 004; Zhou Xu 003; Xin Wang 114 (J. Syst. Softw., 2022)

Graph4Web: A relation-aware graph attention network for web service classification. - Kunsong Zhao; Jin Liu 016; Zhou Xu 003; Xiao Liu 004; Lei Xue 001; Zhiwen Xie; Yuxuan Zhou; Xin Wang 114 (J. Syst. Softw., 2022)

Extended Abstract of Graph4Web: A Relation-Aware Graph Attention Network for Web Service Classification. - Kunsong Zhao; Jin Liu 016; Zhou Xu 003; Xiao Liu 004; Lei Xue 001; Zhiwen Xie; Yuxuan Zhou; Xin Wang 114 (SANER, 2023)

Towards automated Android app internationalisation: An exploratory study. - Pei Liu; Qingxin Xia; Kui Liu 001; Juncai Guo 003; Xin Wang 114; Jin Liu 016; John C. Grundy; Li Li 029 (J. Syst. Softw., 2023)

Modeling and predicting user preferences with multiple item attributes for sequential recommendations. - Li Xu; Jun Zeng; Weile Peng; Hao Wu 010; Kun Yue; Haiyan Ding; Lei Zhang 130; Xin Wang 114 (Knowl. Based Syst., 2023)

Keyword-Driven Service Recommendation Via Deep Reinforced Steiner Tree Search. - Hailong Chen; Hao Wu 010; Jiahui Li; Xin Wang 114; Lei Zhang 130 (IEEE Trans. Ind. Informatics, 2023)

Jointly learning invocations and descriptions for context-aware mashup tagging with graph attention network. - Xin Wang 114; Xiao Liu 004; Hao Wu 010; Jin Liu 016; Xiaomei Chen; Zhou Xu 003 (World Wide Web (WWW), 2023)

Toward Effective Personalized Service QoS Prediction From the Perspective of Multi-Task Learning. - Huiqiang Lian; Jiahui Li; Hao Wu 010; Yiji Zhao; Lei Zhang 130; Xin Wang 114 (IEEE Trans. Netw. Serv. Manag., 2023)

Revisiting Code Smell Severity Prioritization using learning to rank techniques. - Lei Liu; Guancheng Lin; Lin Zhu; Zhen Yang; Peilin Song; Xin Wang 114; Wenhua Hu (Expert Syst. Appl., 2024)

Dynamic QoS Prediction With Intelligent Route Estimation Via Inverse Reinforcement Learning. - Jiahui Li; Hao Wu 010; Qiang He 001; Yiji Zhao; Xin Wang 114 (IEEE Trans. Serv. Comput., 2024)

Diversifying Collaborative Filtering via Graph Spreading Network and Selective Sampling. - Yueting Fang; Hao Wu 010; Yiji Zhao; Lei Zhang 130; Shaowei Qin; Xin Wang 114 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Bug numbers matter: An empirical study of effort-aware defect prediction using class labels versus bug numbers. - Peixin Yang; Ziyao Zeng; Lin Zhu; Yanjiao Zhang; Xin Wang 114; Chuanxiang Ma; Wenhua Hu (Softw. Pract. Exp., 2025)