| 2025 | APWEB | IAMIM: Interference-Aware Multi-interest Modeling for Sequential Recommendation. | Mengyi Zhu, Wei Chen, Xiaofang Zhang, Li Zhang, Lei Zhao |
| 2025 | DASFAA | Image Attribute Completion: A Novel Task for Multi-modal Knowledge Graph. | Yirui Ma, Qian Zhou, Wei Chen, Xi Chen, Xiaofang Zhang, Lei Zhao |
| 2025 | SEKE | Towards the Impact of Code Readability on Vulnerability Detection: An Empirical Stud. | Leyi Cheng, Jiayi Wu, Hao Zhu, Xiaofang Zhang |
| 2025 | SEKE | SGTest: A Semantics-Guided Framework for LLM-Driven Unit Test Generation. | Chendong Lin, Leyi Cheng, Jiayi Wu, Xiaofang Zhang |
| 2024 | DASFAA | Efficient and Secure Skyline Query Over Horizontal Data Federation. | Yilun Kuang, An Liu, Jianfeng Qu, Junhua Fang, Xiaofang Zhang, Lei Zhao |
| 2024 | ICASSP | FastGAT: Simple and Efficient Graph Attention Neural Network with Global-Aware Adaptive Computational Node Attention. | Shenzhi Yang, Li Zhang, Xiaofang Zhang |
| 2024 | ICDE | Multi-Modal Siamese Network for Few-Shot Knowledge Graph Completion. | Yuyang Wei, Wei Chen, Xiaofang Zhang, Pengpeng Zhao, Jianfeng Qu, Lei Zhao |
| 2024 | ICML | Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs. | Shenzhi Yang, Bin Liang, An Liu, Lin Gui, Xingkai Yao, Xiaofang Zhang |
| 2024 | ICSE | Knowledge Graph Driven Inference Testing for Question Answering Software. | Jun Wang, Yanhui Li, Zhifei Chen, Lin Chen, Xiaofang Zhang, Yuming Zhou |
| 2024 | QRS | TWAO: Time-Weight-Aware Oversampling Method for Just-in-Time Software Defect Prediction. | Qi Xue, Weiyuan Zhuang, Lei Zhao, Xiaofang Zhang |
| 2023 | DASFAA | Region-Aware Graph Convolutional Network for Traffic Flow Forecasting. | Haitao Liang, An Liu, Jianfeng Qu, Wei Chen, Xiaofang Zhang, Lei Zhao |
| 2023 | ICWS | TKGF-NTP: Temporal Knowledge Graph Forecasting via Neural Temporal Point Process. | Gaojie Han, Wei Chen, Xiaofang Zhang, Jiajie Xu, An Liu, Lei Zhao |
| 2023 | ISLPED | CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion. | Yifan Zhang, Arnav Vaibhav Malawade, Xiaofang Zhang, Yuhui Li, DongHwan Seong, Mohammad Abdullah Al Faruque, Sitao Huang |
| 2023 | ISSTA | Back Deduction Based Testing for Word Sense Disambiguation Ability of Machine Translation Systems. | Jun Wang, Yanhui Li, Xiang Huang, Lin Chen, Xiaofang Zhang, Yuming Zhou |
| 2023 | QRS | Mucha: Multi-channel based Code Change Representation Learning for Commit Message Generation. | Chuangwei Wang, Yifan Wu, Xiaofang Zhang |
| 2023 | SEKE | GraphPLBART: Code Summarization Based on Graph Embedding and Pre-Trained Model. | Jie Li, Lixuan Li, Hao Zhu, Xiaofang Zhang |
| 2023 | SEKE | An Efficient Design Smell Detection Approach with Inter-class Relation (S). | Hao Zhu, Yichen Li, Jie Li, Xiaofang Zhang |
| 2022 | SEKE | Multi-Label Code Smell Detection with Hybrid Model based on Deep Learning. | Yichen Li, Xiaofang Zhang |
| 2022 | SEKE | Contrastive Learning for Multi-Modal Automatic Code Review. | Bingting Wu, Xiaofang Zhang |
| 2022 | VCIP | No Reference Stereoscopic Video Quality Assessment based on Human Vision System. | Xiaofang Zhang, Sumei Li |
| 2022 | VCIP | MSCI: A Multi-Source Composite Image Database for Compression Distortion Quality Assessment. | Xiaofang Zhang, Zhuowei Xu, Zhiheng Lin, Miaohui Wang |
| 2021 | ISCC | Research and Application of Reinforcement Learning Recommendation Method for Taobao. | Lan Huang, Xiaofang Zhang, Yan Wang, Xuping Xie |
| 2021 | SEKE | Multi-Granularity Code Smell Detection using Deep Learning Method based on Abstract Syntax Tree. | Weiwei Xu, Xiaofang Zhang |
| 2020 | ICANN | GAN-Based Planning Model in Deep Reinforcement Learning. | Song Chen, Junpeng Jiang, Xiaofang Zhang, Jin-Jin Wu, Gongzheng Lu |
| 2020 | ICONIP | Recency-Weighted Acceleration for Continuous Control Through Deep Reinforcement Learning. | Zhen Wu, Zongzhang Zhang, Xiaofang Zhang |
| 2020 | PAKDD | Curiosity-Driven Variational Autoencoder for Deep Q Network. | Gao-Jie Han, Xiaofang Zhang, Hao Wang, Chen-Guang Mao |
| 2020 | TASE | Droidlens: Robust and Fine-Grained Detection for Android Code Smells. | Chen-Guang Mao, Hao Wang, Gao-Jie Han, Xiaofang Zhang |
| 2019 | ISSTA | CTRAS: a tool for aggregating and summarizing crowdsourced test reports. | Yuying Li, Rui Hao, Yang Feng, James A. Jones, Xiaofang Zhang, Zhenyu Chen |
| 2018 | ICANN | Con-CNAME: A Contextual Multi-armed Bandit Algorithm for Personalized Recommendations. | Xiaofang Zhang, Qian Zhou, Tieke He, Bin Liang |
| 2018 | ICONIP | Averaged-A3C for Asynchronous Deep Reinforcement Learning. | Song Chen, Xiaofang Zhang, Jin-Jin Wu, Di Liu |
| 2018 | QRS | An Empirical Study of the Impact of Code Smell on File Changes. | Can Zhu, Xiaofang Zhang, Yang Feng, Lin Chen |
| 2018 | SEKE | A Gated Hierarchical LSTMs for Target-based Sentiment Analysis. | Xiaofang Zhang, Bin Liang, Qian Zhou, Hao Wang, Baowen Xu |
| 2017 | ICONIP | Large-Scale Bandit Approaches for Recommender Systems. | Qian Zhou, Xiaofang Zhang, Jin Xu, Bin Liang |
| 2017 | IECON | The electronic differential terminal sliding mode control based on genetic algorithm. | Niaona Zhang, Xiaofang Zhang, Wenjing Niu |
| 2017 | SEKE | Predicate Interpretation Analysis Based on Soot. | Chunrong Fang, Qingkai Shi, Yang Feng, Zicong Liu, Xiaofang Zhang, Baowen Xu |
| 2016 | QRS | An Automated Testing Platform for Mobile Applications. | Xin Ma, Ning Wang, Peizhang Xie, Jungui Zhou, Xiaofang Zhang, Chunrong Fang |
| 2016 | QRS | Test Case Prioritization Using Adaptive Random Sequence with Category-Partition-Based Distance. | Xiaofang Zhang, Xiaoyuan Xie, Tsong Yueh Chen |
| 2015 | ICTAI | Intelligent Model Learning Based on Variance for Bayesian Reinforcement Learning. | Shuhua You, Quan Liu, Zongzhang Zhang, Hui Wang, Xiaofang Zhang |
| 2015 | TrustCom | Protein-Protein Interaction Network Constructing Based on Text Mining and Reinforcement Learning with Application to Prostate Cancer. | Fei Zhu, Quan Liu, Xiaofang Zhang, Bairong Shen |
| 2014 | SEKE | An Application of Adaptive Random Sequence in Test Case Prioritization. | Xiaofang Zhang, Tsong Yueh Chen, Huai Liu |
| 2013 | SEKE | A Hybrid Coverage Criterion for DynamicWeb Testing (S). | Yunxiao Zou, Chunrong Fang, Zhenyu Chen, Xiaofang Zhang, Zhihong Zhao |
| 2009 | APSEC | Contribution-Based Call Stack Abstraction and Its Application in Pointer Analysis of AspectJ Programs. | Ju Qian, Zifeng Cui, Baowen Xu, Xiaofang Zhang |
| 2008 | SAC | A novel approach for test suite reduction based on requirement relation contraction. | Zhenyu Chen, Baowen Xu, Xiaofang Zhang, Changhai Nie |
| 2008 | SEKE | A Degraded ILP Approach for Test Suite Reduction. | Zhenyu Chen, Xiaofang Zhang, Baowen Xu |
| 2008 | SEKE | A Dynamic Adjusting Method for Test Case Prioritization. | Bo Qu, Changhai Nie, Baowen Xu, Xiaofang Zhang |
| 2007 | COMPSAC | Test Case Prioritization for Black Box Testing. | Bo Qu, Changhai Nie, Baowen Xu, Xiaofang Zhang |
| 2007 | ICNC | Support Vector Regression and Radial Basis Function Neural Networks Applied to Semi-quantitative Prediction of Rhubarbs. | Zhuoyong Zhang, Xiaofang Zhang, Peter de B. Harrington |