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Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation


Apr 08, 2022
Ensheng Shi, Wenchao Gub, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun


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ECMG: Exemplar-based Commit Message Generation


Apr 07, 2022
Ensheng Shia, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun


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Accelerating Code Search with Deep Hashing and Code Classification


Mar 31, 2022
Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu

* Accepted to 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) 

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HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction


Feb 25, 2022
Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao

* 5 pages, Second Winner Award at Temporal Link Prediction task of WSDM Cup 2022 

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Neuron with Steady Response Leads to Better Generalization


Dec 15, 2021
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang


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Source Free Unsupervised Graph Domain Adaptation


Dec 03, 2021
Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang

* 9 pages, 4 figures 

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GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily


Oct 29, 2021
Lun Du, Xiaozhou Shi, Qiang Fu, Hengyu Liu, Shi Han, Dongmei Zhang

* 9 pages 

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Neuron Campaign for Initialization Guided by Information Bottleneck Theory


Aug 14, 2021
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang

* 5 pages, Accepted by CIKM'21 

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On the Evaluation of Commit Message Generation Models: An Experimental Study


Jul 26, 2021
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang

* Accepted to International Conference on Software Maintenance and Evolution (ICSME) 2021 

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Neural Code Summarization: How Far Are We?


Jul 15, 2021
Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun


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Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning for Semantic Code Search


Jul 13, 2021
Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang

* 5 pages 

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TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data


Jun 16, 2021
Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang

* 10 pages, 7 figures, to be published in the proceedings of KDD 2021 

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Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective


May 17, 2021
Lun Du, Xu Chen, Fei Gao, Kunqing Xie, Shi Han, Dongmei Zhang

* 9 pages, 0 figures 

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TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting


Nov 30, 2020
Xu Chen, Yuanxing Zhang, Lun Du, Zheng Fang, Yi Ren, Kaigui Bian, Kunqing Xie

* Published as a conference paper at ICDM 2020 

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Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network


Jan 18, 2020
Mengyuan Chen, Jiang Zhang, Zhang Zhang, Lun Du, Qiao Hu, Shuo Wang, Jiaqi Zhu


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DANE: Domain Adaptive Network Embedding


Jun 03, 2019
Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin

* 7 pages, 4 figures, accepted by IJCAI 2019 

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Tag2Vec: Learning Tag Representations in Tag Networks


Apr 19, 2019
Junshan Wang, Zhicong Lu, Guojie Song, Yue Fan, Lun Du, Wei Lin


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