Lun Du

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 96

Top Topics

Graph Embedding

Semantic Parsing

Top Venues

Publications

Hao Chen, Lun Du, Yuxuan Lu, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li
Professional Network Matters: Connections Empower Person-Job Fit. WSDM (2024)
Yizhou Zhang, Lun Du, Defu Cao, Qiang Fu, Yan Liu
Guiding Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving. CoRR (2024)
Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Dongmei Zhang, Zhixu Li, Yanghua Xiao
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models. CoRR (2024)
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries. AAAI (2024)
Hao Chen, Lun Du, Yuxuan Lu, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li
Professional Network Matters: Connections Empower Person-Job Fit. CoRR (2024)
Yizhou Zhang, Karishma Sharma, Lun Du, Yan Liu
Toward Mitigating Misinformation and Social Media Manipulation in LLM Era. WWW (Companion Volume) (2024)
Fan Hu, Yanlin Wang, Lun Du, Hongyu Zhang, Dongmei Zhang, Xirong Li
Tackling Long Code Search with Splitting, Encoding, and Aggregating. LREC/COLING (2024)
Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang
Text-to-Image Generation for Abstract Concepts. AAAI (2024)
Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang
Source Free Graph Unsupervised Domain Adaptation. WSDM (2024)
Yihan Cao, Xu Chen, Lun Du, Hao Chen, Qiang Fu, Shi Han, Yushu Du, Yanbin Kang, Guangming Lu, Zi Li
TAROT: A Hierarchical Framework with Multitask co-pretraining on Semi-Structured Data Towards Effective Person-Job fit. ICASSP (2024)
Yihan Cao, Xu Chen, Lun Du, Hao Chen, Qiang Fu, Shi Han, Yushu Du, Yanbin Kang, Guangming Lu, Zi Li
TAROT: A Hierarchical Framework with Multitask Co-Pretraining on Semi-Structured Data towards Effective Person-Job Fit. CoRR (2024)
Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering. KDD (2023)
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
Homophily-oriented Heterogeneous Graph Rewiring. CoRR (2023)
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries. CoRR (2023)
Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang
Revisiting Code Search in a Two-Stage Paradigm. WSDM (2023)
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
Robust Mid-Pass Filtering Graph Convolutional Networks. WWW (2023)
Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering. CoRR (2023)
Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang
TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning. CoRR (2023)
Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun
Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond. CoRR (2023)
Sisi Zhang, Lun Du, Fan Li, Ge Yu, Mengyuan Chen
Propagate Deeper and Adaptive Graph Convolutional Networks. Tiny Papers @ ICLR (2023)
Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution. WSDM (2023)
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
Robust Mid-Pass Filtering Graph Convolutional Networks. CoRR (2023)
Jinsong Zhang, Qiang Fu, Xu Chen, Lun Du, Zelin Li, Gang Wang, Xiaoguang Liu, Shi Han, Dongmei Zhang
Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy. ICLR (2023)
Jiayan Guo, Lun Du, Hengyu Liu
GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking. CoRR (2023)
Chongjian Yue, Xinrun Xu, Xiaojun Ma, Lun Du, Hengyu Liu, Zhiming Ding, Yanbing Jiang, Shi Han, Dongmei Zhang
Leveraging LLMs for KPIs Retrieval from Hybrid Long-Document: A Comprehensive Framework and Dataset. CoRR (2023)
Ensheng Shi, Yanlin Wang, Wenchao Gu, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
CoCoSoDa: Effective Contrastive Learning for Code Search. ICSE (2023)
Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention. IJCAI (2023)
Minghe Yu, Xu Chen, Xinhao Gu, Hengyu Liu, Lun Du
A subspace constraint based approach for fast hierarchical graph embedding. World Wide Web (WWW) 26 (5) (2023)
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. Empir. Softw. Eng. 28 (6) (2023)
Ensheng Shi, Fengji Zhang, Yanlin Wang, Bei Chen, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
SoTaNa: The Open-Source Software Development Assistant. CoRR (2023)
Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang
Text-to-Image Generation for Abstract Concepts. CoRR (2023)
Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi, Lun Du, Jin Wang
Causal Discovery from Temporal Data. KDD (2023)
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
Homophily-oriented Heterogeneous Graph Rewiring. WWW (2023)
Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun
Towards Efficient Fine-Tuning of Pre-trained Code Models: An Experimental Study and Beyond. ISSTA (2023)
Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Dongmei Zhang, Zhixu Li, Yanghua Xiao
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models. CIKM (2023)
Ran Jia, Qiyu Li, Zihan Xu, Xiaoyuan Jin, Lun Du, Haoyu Dong, Xiao Lv, Shi Han, Dongmei Zhang
SheetPT: Spreadsheet Pre-training Based on Hierarchical Attention Network. AAAI (2023)
Feifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li
DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms. WSDM (2023)
Ran Jia, Haoming Guo, Xiaoyuan Jin, Chao Yan, Lun Du, Xiaojun Ma, Tamara Stankovic, Marko Lozajic, Goran Zoranovic, Igor Ilic, Shi Han, Dongmei Zhang
GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network. KDD (2023)
Jiayi Liao, Xu Chen, Lun Du
Concept Understanding in Large Language Models: An Empirical Study. Tiny Papers @ ICLR (2023)
Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Shi Han, Dongmei Zhang, Lei Hou, Juanzi Li, Jidong Zhai
Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing. AAAI (2023)
Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention. CoRR (2023)
Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu
Accelerating Code Search with Deep Hashing and Code Classification. ACL (1) (2022)
Ensheng Shi, Yanlin Wang, Wei Tao, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
RACE: Retrieval-augmented Commit Message Generation. EMNLP (2022)
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
A large-scale empirical study of commit message generation: models, datasets and evaluation. Empir. Softw. Eng. 27 (7) (2022)
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
Neuron with Steady Response Leads to Better Generalization. NeurIPS (2022)
Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi
TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation. KDD (2022)
Ensheng Shi, Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation. CoRR (2022)
Feifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li
DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms. CoRR (2022)
Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective. WSDM (2022)
Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang
Revisiting Code Search in a Two-Stage Paradigm. CoRR (2022)
Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. CIKM (2022)
Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu
Accelerating Code Search with Deep Hashing and Code Classification. CoRR (2022)
Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao
HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction. CoRR (2022)
Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun
On the Evaluation of Neural Code Summarization. ICSE (2022)
Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. CoRR (2022)
Fan Hu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Xirong Li
Long Code for Code Search. CoRR (2022)
Mengyuan Chen, Yan Zhang, Zhang Zhang, Lun Du, Jiang Zhang
Inferring Network Structure with Unobservable Nodes from Time Series Data. CoRR (2022)
Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach. CoRR (2022)
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
ECMG: Exemplar-based Commit Message Generation. CoRR (2022)
Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Shi Han, Dongmei Zhang, Lei Hou, Juanzi Li, Jidong Zhai
Guiding the PLMs with Semantic Anchors as Intermediate Supervision: Towards Interpretable Semantic Parsing. CoRR (2022)
Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. WWW (2022)
Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution. CoRR (2022)
Lun Du, Xu Chen, Fei Gao, Kunqing Xie, Shi Han, Dongmei Zhang
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective. CoRR (2021)
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
Neuron Campaign for Initialization Guided by Information Bottleneck Theory. CoRR (2021)
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
Neuron Campaign for Initialization Guided by Information Bottleneck Theory. CIKM (2021)
Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang
Source Free Unsupervised Graph Domain Adaptation. CoRR (2021)
Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun
Neural Code Summarization: How Far Are We? CoRR (2021)
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
On the Evaluation of Commit Message Generation Models: An Experimental Study. ICSME (2021)
Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning for Semantic Code Search. CoRR (2021)
Lun Du, Xiaozhou Shi, Qiang Fu, Hengyu Liu, Shi Han, Dongmei Zhang
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. CoRR (2021)
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. CoRR (2021)
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
Neuron with Steady Response Leads to Better Generalization. CoRR (2021)
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
On the Evaluation of Commit Message Generation Models: An Experimental Study. CoRR (2021)
Guojie Song, Yun Wang, Lun Du, Yi Li, Junshan Wang
Network Embedding on Hierarchical Community Structure Network. ACM Trans. Knowl. Discov. Data 15 (4) (2021)
Dongyue Li, Tao Yang, Lun Du, Zhezhi He, Li Jiang
AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs. CIKM (2021)
Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang
TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data. CoRR (2021)
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. EMNLP (1) (2021)
Xu Chen, Lun Du, Mengyuan Chen, Yun Wang, Qingqing Long, Kunqing Xie
Fast Hierarchy Preserving Graph Embedding via Subspace Constraints. ICASSP (2021)
Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search. CIKM (2021)
Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang
TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data. KDD (2021)
Yanlin Wang, Ensheng Shi, Lun Du, Xiaodi Yang, Yuxuan Hu, Shi Han, Hongyu Zhang, Dongmei Zhang
CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network. CoRR (2021)
Shuwen Yang, Guojie Song, Yilun Jin, Lun Du
Domain Adaptive Classification on Heterogeneous Information Networks. IJCAI (2020)
Xu Chen, Yuanxing Zhang, Lun Du, Zheng Fang, Yi Ren, Kaigui Bian, Kunqing Xie
TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting. ICDM (2020)
Guojie Song, Yuanhao Li, Junshan Wang, Lun Du
Inferring explicit and implicit social ties simultaneously in mobile social networks. Sci. China Inf. Sci. 63 (4) (2020)
Mengyuan Chen, Jiang Zhang, Zhang Zhang, Lun Du, Qiao Hu, Shuo Wang, Jiaqi Zhu
Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network. CoRR (2020)
Xu Chen, Yuanxing Zhang, Lun Du, Zheng Fang, Yi Ren, Kaigui Bian, Kunqing Xie
TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting. CoRR (2020)
Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin
DANE: Domain Adaptive Network Embedding. IJCAI (2019)
Junshan Wang, Zhicong Lu, Guojie Song, Yue Fan, Lun Du, Wei Lin
Tag2Vec: Learning Tag Representations in Tag Networks. WWW (2019)
Yun Wang, Lun Du, Guojie Song, Xiaojun Ma, Lichen Jin, Wei Lin, Fei Sun
Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks. IJCAI (2019)
Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin
DANE: Domain Adaptive Network Embedding. CoRR (2019)
Yun Wang, Guojie Song, Lun Du, Zhicong Lu
Real-Time Estimation of the Urban Air Quality with Mobile Sensor System. ACM Trans. Knowl. Discov. Data 13 (5) (2019)
Qingqing Long, Yiming Wang, Lun Du, Guojie Song, Yilun Jin, Wei Lin
Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach. CIKM (2019)
Junshan Wang, Zhicong Lu, Guojie Song, Yue Fan, Lun Du, Wei Lin
Tag2Vec: Learning Tag Representations in Tag Networks. CoRR (2019)
Lun Du, Guojie Song, Yiming Wang, Jipeng Huang, Mengfei Ruan, Zhanyuan Yu
Traffic Events Oriented Dynamic Traffic Assignment Model for Expressway Network: A Network Flow Approach. IEEE Intell. Transp. Syst. Mag. 10 (1) (2018)
Lun Du, Zhicong Lu, Yun Wang, Guojie Song, Yiming Wang, Wei Chen
Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach. IJCAI (2018)
Lun Du, Yun Wang, Guojie Song, Zhicong Lu, Junshan Wang
Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding. IJCAI (2018)