Model Based Load Testing of Web Applications. - Xingen Wang; Bo Zhou 010; Wei Li (ISPA, 2010)

Load balance optimization with replication degree customization. - Wei Li; Shanping Li; Xingen Wang (CCIS, 2011)

Automated Configuration Bug Report Prediction Using Text Mining. - Xin Xia 001; David Lo 001; Weiwei Qiu; Xingen Wang; Bo Zhou 010 (COMPSAC, 2014)

BOAT: an experimental platform for researchers to comparatively and reproducibly evaluate bug localization techniques. - Xinyu Wang 001; David Lo 001; Xin Xia 001; Xingen Wang; Pavneet Singh Kochhar; Yuan Tian 008; Xiaohu Yang 001; Shanping Li; Jianling Sun; Bo Zhou 010 (ICSE Companion, 2014)

Cross-language bug localization. - Xin Xia 001; David Lo 001; Xingen Wang; Chenyi Zhang 002; Xinyu Wang 001 (ICPC, 2014)

Real-time intelligent big data processing: technology, platform, and applications. - Tongya Zheng; Gang Chen 001; Xinyu Wang 001; Chun Chen 001; Xingen Wang; Sihui Luo 001 (Sci. China Inf. Sci., 2019)

White-box fairness testing through adversarial sampling. - Peixin Zhang 001; Jingyi Wang 004; Jun Sun 001; Guoliang Dong; Xinyu Wang 001; Xingen Wang; Jin Song Dong 001; Ting Dai (ICSE, 2020)

Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction. - Guoliang Dong; Jingyi Wang 004; Jun Sun 001; Yang Zhang; Xinyu Wang 001; Ting Dai; Jin Song Dong; Xingen Wang (ASE, 2020)

Learning Dynamic Preference Structure Embedding From Temporal Networks. - Tongya Zheng; Zunlei Feng; Yu Wang 176; Chengchao Shen; Mingli Song; Xingen Wang; Xinyu Wang 001; Chun Chen 001; Hao Xu (ICBK, 2021)

Contrastive Model Invertion for Data-Free Knolwedge Distillation. - Gongfan Fang; Jie Song 011; Xinchao Wang; Chengchao Shen; Xingen Wang; Mingli Song (IJCAI, 2021)

KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. - Mengqi Xue; Jie Song 011; Xinchao Wang; Ying Chen; Xingen Wang; Mingli Song (IJCAI, 2021)

Towards Repairing Neural Networks Correctly. - Guoliang Dong; Jun Sun 001; Xingen Wang; Xinyu Wang 001; Ting Dai (QRS, 2021)

Contrastive Model Inversion for Data-Free Knowledge Distillation. - Gongfan Fang; Jie Song 011; Xinchao Wang; Chengchao Shen; Xingen Wang; Mingli Song (CoRR, 2021)

Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling. - Peixin Zhang 001; Jingyi Wang 004; Jun Sun 001; Xinyu Wang 001; Guoliang Dong; Xingen Wang; Ting Dai; Jin Song Dong (CoRR, 2021)

CoEvo-Net: Coevolution Network for Video Highlight Detection. - Jiawei Chen; Jian Wang; Xinchao Wang; Xingen Wang; Zunlei Feng; Ruitao Liu; Mingli Song (IEEE Trans. Circuits Syst. Video Technol., 2022)

Walking With Attention: Self-Guided Walking for Heterogeneous Graph Embedding. - Yunzhi Hao; Xinchao Wang; Xingen Wang; Xinyu Wang 001; Chun Chen 001; Mingli Song (IEEE Trans. Knowl. Data Eng., 2022)

Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling. - Peixin Zhang 001; Jingyi Wang 004; Jun Sun 001; Xinyu Wang 001; Guoliang Dong; Xingen Wang; Ting Dai; Jin Song Dong 001 (IEEE Trans. Software Eng., 2022)

Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks. - Yunzhi Hao; Yu Wang 176; Shunyu Liu 001; Tongya Zheng; Xingen Wang; Xinyu Wang 001; Mingli Song; Wenqi Huang 002; Chun Chen 001 (ICONIP (1), 2023)

Heterogeneous Graph Prototypical Networks for Few-Shot Node Classification. - Yunzhi Hao; Mengfan Wang; Xingen Wang; Tongya Zheng; Xinyu Wang 001; Wenqi Huang 002; Chun Chen 001 (ICONIP (8), 2023)

Reinforcement learning based web crawler detection for diversity and dynamics. - Yang Gao 001; Zunlei Feng; Xiaoyang Wang; Mingli Song; Xingen Wang; Xinyu Wang 001; Chun Chen 001 (Neurocomputing, 2023)

HSDN: A High-Order Structural Semantic Disentangled Neural Network. - Bingde Hu; Xingen Wang; Zunlei Feng; Jie Song 011; Ji Zhao 016; Mingli Song; Xinyu Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation. - Tongya Zheng; Xinchao Wang; Zunlei Feng; Jie Song 011; Yunzhi Hao; Mingli Song; Xingen Wang; Xinyu Wang 001; Chun Chen 001 (IEEE Trans. Knowl. Data Eng., 2023)

Transformer Doctor: Diagnosing and Treating Vision Transformers. - Jiacong Hu; Hao Chen 041; Kejia Chen 007; Yang Gao 001; Jingwen Ye; Xingen Wang; Mingli Song; Zunlei Feng (NeurIPS, 2024)

Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks. - Jiacong Hu; Jing Gao; Jingwen Ye; Yang Gao 001; Xingen Wang; Zunlei Feng; Mingli Song (NeurIPS, 2024)

LG-CAV: Train Any Concept Activation Vector with Language Guidance. - Qihan Huang; Jie Song 011; Mengqi Xue; Haofei Zhang; Bingde Hu; Huiqiong Wang; Hao Jiang 014; Xingen Wang; Mingli Song (NeurIPS, 2024)

Association Pattern-aware Fusion for Biological Entity Relationship Prediction. - Lingxiang Jia; Yuchen Ying; Zunlei Feng; Zipeng Zhong; Shaolun Yao; Jiacong Hu; Mingjiang Duan; Xingen Wang; Jie Song 011; Mingli Song (NeurIPS, 2024)

Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks. - Tian Qiu; Chenchao Gao; Zunlei Feng; Jie Lei 002; Bingde Hu; Xingen Wang; Yi Gao; Mingli Song (NeurIPS, 2024)

Transition Propagation Graph Neural Networks for Temporal Networks. - Tongya Zheng; Zunlei Feng; Tianli Zhang; Yunzhi Hao; Mingli Song; Xingen Wang; Xinyu Wang 001; Ji Zhao 016; Chun Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Dataset Ownership Verification in Contrastive Pre-trained Models. - Yuechen Xie; Jie Song; Mengqi Xue; Haofei Zhang; Xingen Wang; Bingde Hu; Genlang Chen; Mingli Song (ICLR, 2025)