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2020 – today
- 2024
[c47]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: 3360-3368- [c46]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: 18206-18215 - [c45]Fan Hu, Yanlin Wang, Lun Du, Hongyu Zhang, Dongmei Zhang, Xirong Li:
Tackling Long Code Search with Splitting, Encoding, and Aggregating. LREC/COLING 2024: 15500-15510 - [c44]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: 12046-12050 - [c43]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: 96-105 - [c42]Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang:
Source Free Graph Unsupervised Domain Adaptation. WSDM 2024: 520-528 - [c41]Yizhou Zhang, Karishma Sharma, Lun Du, Yan Liu:
Toward Mitigating Misinformation and Social Media Manipulation in LLM Era. WWW (Companion Volume) 2024: 1302-1305 - [i42]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 abs/2401.00010 (2024) - [i41]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 abs/2401.07525 (2024) - [i40]Yizhou Zhang, Lun Du, Defu Cao, Qiang Fu, Yan Liu:
Prompting Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving. CoRR abs/2402.05359 (2024) - [i39]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 abs/2407.11033 (2024) - 2023
- [j7]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): 135 (2023) - [j6]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): 3691-3705 (2023) - [c40]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: 12951-12958 - [c39]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: 13400-13408 - [c38]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: 276-285 - [c37]Jiayi Liao, Xu Chen, Lun Du:
Concept Understanding in Large Language Models: An Empirical Study. Tiny Papers @ ICLR 2023 - [c36]Sisi Zhang, Lun Du, Fan Li, Ge Yu, Mengyuan Chen:
Propagate Deeper and Adaptive Graph Convolutional Networks. Tiny Papers @ ICLR 2023 - [c35]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 - [c34]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: 2198-2210 - [c33]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: 2315-2323 - [c32]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: 39-51 - [c31]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: 602-613 - [c30]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: 941-950 - [c29]Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi, Lun Du, Jin Wang:
Causal Discovery from Temporal Data. KDD 2023: 5803-5804 - [c28]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: 132-140 - [c27]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: 384-392 - [c26]Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang:
Revisiting Code Search in a Two-Stage Paradigm. WSDM 2023: 994-1002 - [c25]Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang:
Robust Mid-Pass Filtering Graph Convolutional Networks. WWW 2023: 328-338 - [c24]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: 511-522 - [i38]Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang:
Homophily-oriented Heterogeneous Graph Rewiring. CoRR abs/2302.06299 (2023) - [i37]Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang:
Robust Mid-Pass Filtering Graph Convolutional Networks. CoRR abs/2302.08048 (2023) - [i36]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 abs/2304.05216 (2023) - [i35]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 abs/2305.13115 (2023) - [i34]Jiayan Guo, Lun Du, Hengyu Liu:
GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking. CoRR abs/2305.15066 (2023) - [i33]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 abs/2305.16344 (2023) - [i32]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 abs/2306.03624 (2023) - [i31]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 abs/2308.13416 (2023) - [i30]Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang:
Text-to-Image Generation for Abstract Concepts. CoRR abs/2309.14623 (2023) - [i29]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 abs/2312.09039 (2023) - [i28]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 abs/2312.13671 (2023) - 2022
- [j5]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): 198 (2022) - [c23]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: 2534-2544 - [c22]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: 4234-4238 - [c21]Ensheng Shi, Yanlin Wang, Wei Tao, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
RACE: Retrieval-augmented Commit Message Generation. EMNLP 2022: 5520-5530 - [c20]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: 1597-1608 - [c19]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: 2275-2285 - [c18]Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang:
Neuron with Steady Response Leads to Better Generalization. NeurIPS 2022 - [c17]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: 230-240 - [c16]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: 1550-1558 - [i27]Mengyuan Chen, Yan Zhang, Zhang Zhang, Lun Du, Jiang Zhang:
Inferring Network Structure with Unobservable Nodes from Time Series Data. CoRR abs/2202.10144 (2022) - [i26]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 abs/2202.12713 (2022) - [i25]Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
ECMG: Exemplar-based Commit Message Generation. CoRR abs/2203.02700 (2022) - [i24]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 abs/2203.15287 (2022) - [i23]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 abs/2204.03293 (2022) - [i22]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 abs/2208.07012 (2022) - [i21]Fan Hu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Xirong Li:
Long Code for Code Search. CoRR abs/2208.11271 (2022) - [i20]Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang:
Revisiting Code Search in a Two-Stage Paradigm. CoRR abs/2208.11274 (2022) - [i19]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 abs/2208.11873 (2022) - [i18]Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang:
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach. CoRR abs/2209.08264 (2022) - [i17]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 abs/2210.01425 (2022) - [i16]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 abs/2210.12402 (2022) - 2021
- [j4]Guojie Song, Yun Wang, Lun Du, Yi Li, Junshan Wang:
Network Embedding on Hierarchical Community Structure Network. ACM Trans. Knowl. Discov. Data 15(4): 62:1-62:23 (2021) - [c15]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: 2994-2998 - [c14]Dongyue Li, Tao Yang, Lun Du, Zhezhi He, Li Jiang:
AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs. CIKM 2021: 3206-3210 - [c13]Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang:
Neuron Campaign for Initialization Guided by Information Bottleneck Theory. CIKM 2021: 3328-3332 - [c12]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: 4053-4062 - [c11]Xu Chen, Lun Du, Mengyuan Chen, Yun Wang, Qingqing Long, Kunqing Xie:
Fast Hierarchy Preserving Graph Embedding via Subspace Constraints. ICASSP 2021: 3580-3584 - [c10]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: 126-136 - [c9]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: 322-331 - [i15]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 abs/2105.08007 (2021) - [i14]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 abs/2106.03096 (2021) - [i13]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 abs/2107.01933 (2021) - [i12]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 abs/2107.04773 (2021) - [i11]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 abs/2107.05373 (2021) - [i10]Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun:
Neural Code Summarization: How Far Are We? CoRR abs/2107.07112 (2021) - [i9]Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang:
Neuron Campaign for Initialization Guided by Information Bottleneck Theory. CoRR abs/2108.06530 (2021) - [i8]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 abs/2108.12987 (2021) - [i7]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 abs/2110.15777 (2021) - [i6]Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang:
Neuron with Steady Response Leads to Better Generalization. CoRR abs/2111.15414 (2021) - [i5]Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang:
Source Free Unsupervised Graph Domain Adaptation. CoRR abs/2112.00955 (2021) - 2020
- [j3]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) - [c8]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: 954-959 - [c7]Shuwen Yang, Guojie Song, Yilun Jin, Lun Du:
Domain Adaptive Classification on Heterogeneous Information Networks. IJCAI 2020: 1410-1416 - [i4]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 abs/2001.06576 (2020) - [i3]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 abs/2011.14638 (2020)
2010 – 2019
- 2019
- [j2]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): 49:11-49:19 (2019) - [c6]Qingqing Long, Yiming Wang, Lun Du, Guojie Song, Yilun Jin, Wei Lin:
Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach. CIKM 2019: 409-418 - [c5]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: 3799-3805 - [c4]Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin:
DANE: Domain Adaptive Network Embedding. IJCAI 2019: 4362-4368 - [c3]Junshan Wang, Zhicong Lu, Guojie Song, Yue Fan, Lun Du, Wei Lin:
Tag2Vec: Learning Tag Representations in Tag Networks. WWW 2019: 3314-3320 - [i2]Junshan Wang, Zhicong Lu, Guojie Song, Yue Fan, Lun Du, Wei Lin:
Tag2Vec: Learning Tag Representations in Tag Networks. CoRR abs/1905.03041 (2019) - [i1]Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin:
DANE: Domain Adaptive Network Embedding. CoRR abs/1906.00684 (2019) - 2018
- [j1]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): 107-120 (2018) - [c2]Lun Du, Zhicong Lu, Yun Wang, Guojie Song, Yiming Wang, Wei Chen:
Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach. IJCAI 2018: 2079-2085 - [c1]Lun Du, Yun Wang, Guojie Song, Zhicong Lu, Junshan Wang:
Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding. IJCAI 2018: 2086-2092
Coauthor Index
[c47] [c46] [c44] [c43] [c42] [i42] [i41] [i39] [j7] [c40] [c39] [c38] [c35] [c34] [c33] [c32] [c31] [c30] [c28] [c27] [c26] [c25] [c24] [i38] [i37] [i36] [i35] [i33] [i32] [i31] [i30] [i29] [i28] [j5] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [c15] [c13] [c12] [c10] [c9] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5]
[c47] [c46] [c45] [c42] [i39] [j7] [c40] [c39] [c38] [c35] [c34] [c32] [c31] [c30] [c28] [c26] [c25] [c24] [i38] [i37] [i36] [i33] [i32] [i31] [i30] [i29] [i28] [j5] [c23] [c22] [c21] [c20] [c18] [c17] [c16] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [c15] [c13] [c12] [c10] [c9] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5]
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