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ORCIDGuojie Song
Guo-Jie Song
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- affiliation: Peking University, Beijing, China
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2020 – today
- 2024
[j42]Yanjin Xiang
, Zhiliang Wang, Ziang Song, Rong Huang, Guojie Song, Fan Min:
SeismicTransformer: An attention-based deep learning method for the simulation of seismic wavefields. Comput. Geosci. 190: 105629 (2024)- [j41]Xing-Yi Zhang, Fan Min, Shulin Pan, Qiong Xu, Xue-Yang Min, Guojie Song, Ke Wang:
DD-Net: Dual Decoder Network With Curriculum Learning for Full Waveform Inversion. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [c104]Yuanyi Ren, Haoran Ye, Hanjun Fang, Xin Zhang, Guojie Song:
ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models. ACL (1) 2024: 2015-2040 - [c103]Lingjun Xu, Haowen Li, Guojie Song, Liang Wang, Bo Zheng:
Laner-GNN: Adapting to Long-Tail Degree Distribution with Latent Neighborhood Restorers. ECAI 2024: 2838-2845 - [c102]Wenhao Zhu, Guojie Song, Liang Wang, Shaoguo Liu:
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers. IJCAI 2024: 5707-5715 - [c101]Yunbo Hou, Haoran Ye, Yingxue Zhang, Siyuan Xu, Guojie Song:
RoutePlacer: An End-to-End Routability-Aware Placer with Graph Neural Network. KDD 2024: 1085-1095 - [i31]Haoran Ye, Jiarui Wang, Zhiguang Cao, Guojie Song:
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution. CoRR abs/2402.01145 (2024) - [i30]Wenhao Zhu, Guojie Song, Liang Wang, Shaoguo Liu:
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers. CoRR abs/2405.03481 (2024) - [i29]Yunbo Hou, Haoran Ye, Yingxue Zhang, Siyuan Xu, Guojie Song:
RoutePlacer: An End-to-End Routability-Aware Placer with Graph Neural Network. CoRR abs/2406.02651 (2024) - [i28]Yuanyi Ren, Haoran Ye, Hanjun Fang, Xin Zhang, Guojie Song:
ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models. CoRR abs/2406.04214 (2024) - [i27]Haoran Ye, Yuhang Xie, Yuanyi Ren, Hanjun Fang, Xin Zhang, Guojie Song:
Measuring Human and AI Values based on Generative Psychometrics with Large Language Models. CoRR abs/2409.12106 (2024) - 2023
- [j40]Kun Qian, Xue-Yang Min, Yusheng Cheng, Guojie Song, Fan Min:
Self-dependence multi-label learning with double k for missing labels. Artif. Intell. Rev. 56(6): 5057-5094 (2023) - [j39]Chao-Fan Pan, Xue-Yang Min, Heng-Ru Zhang, Guojie Song, Fan Min:
Behavior imitation of individual board game players. Appl. Intell. 53(10): 11571-11585 (2023) - [j38]Dou Zeng, Qiong Xu, Shulin Pan, Guojie Song, Fan Min:
Seismic image super-resolution reconstruction through deep feature mining network. Appl. Intell. 53(19): 21875-21890 (2023) - [j37]Xiaojun Ma, Ziyao Li, Guojie Song, Chuan Shi:
Learning discrete adaptive receptive fields for graph convolutional networks. Sci. China Inf. Sci. 66(12) (2023) - [j36]Fan Min, Linrong Wang, Shulin Pan, Guojie Song:
Fast convex set projection with deep prior for seismic interpolation. Expert Syst. Appl. 213(Part): 119256 (2023) - [j35]Xing-Yi Zhang, Fan Min, Guojie Song, Hong Yu:
LSTC: When label-specific features meet third-order label correlations. Inf. Sci. 632: 617-636 (2023) - [j34]Fan Min, Jinyu Tang, Shulin Pan, Guojie Song:
CAUC: Combining Channel Attention U-Net and Convolution for Seismic Data Resolution Improvement. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j33]Fan Min, Linrong Wang, Shulin Pan, Guojie Song:
D2UNet: Dual Decoder U-Net for Seismic Image Super-Resolution Reconstruction. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j32]Yinghe Wu, Shulin Pan, Yaojie Chen, Jingyi Chen, Shengbo Yi, Dongjun Zhang, Guojie Song:
An Unsupervised Inversion Method for Seismic Brittleness Parameters Driven by the Physical Equation. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j31]Yinghe Wu, Shulin Pan, Shengbo Yi, Jingyi Chen, Qinghui Cui, Guojie Song:
An Automatic Screening Method for the Passive Surface-Wave Imaging Based on the F-K Domain Energy Characteristics. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [c100]Yuanyi Ren, Hang Ni, Yingxue Zhang, Xi Wang, Guojie Song, Dong Li, Jianye Hao:
Dual-Process Graph Neural Network for Diversified Recommendation. CIKM 2023: 2126-2135 - [c99]Yun-Peng Shi, Chang-Zhong Wang, Shulin Pan, Guojie Song, Fan Min:
A CNN Based Physical Constraint Modifier Model for Reflectivity Inversion. ICMLC 2023: 69-74 - [c98]Yi Wu, Yanyang Xu, Wenhao Zhu, Guojie Song, Zhouchen Lin, Liang Wang, Shaoguo Liu:
KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach. IJCAI 2023: 2370-2378 - [c97]Wenhao Zhu, Tianyu Wen, Guojie Song, Xiaojun Ma, Liang Wang:
Hierarchical Transformer for Scalable Graph Learning. IJCAI 2023: 4702-4710 - [c96]Wenhao Zhu, Tianyu Wen, Guojie Song, Liang Wang, Bo Zheng:
On Structural Expressive Power of Graph Transformers. KDD 2023: 3628-3637 - [c95]Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim:
Continual Learning on Dynamic Graphs via Parameter Isolation. SIGIR 2023: 601-611 - [c94]Xiaojun Ma, Qin Chen, Yi Wu, Guojie Song, Liang Wang, Bo Zheng:
Rethinking Structural Encodings: Adaptive Graph Transformer for Node Classification Task. WWW 2023: 533-544 - [c93]Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan:
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. WWW 2023: 684-693 - [i26]Wenhao Zhu, Tianyu Wen, Guojie Song, Xiaojun Ma, Liang Wang:
Hierarchical Transformer for Scalable Graph Learning. CoRR abs/2305.02866 (2023) - [i25]Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan:
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. CoRR abs/2305.05848 (2023) - [i24]Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim:
Continual Learning on Dynamic Graphs via Parameter Isolation. CoRR abs/2305.13825 (2023) - [i23]Wenhao Zhu, Tianyu Wen, Guojie Song, Liang Wang, Bo Zheng:
On Structural Expressive Power of Graph Transformers. CoRR abs/2305.13987 (2023) - 2022
- [j30]Xue-Yang Min, Kun Qian, Ben-Wen Zhang, Guojie Song, Fan Min:
Multi-label active learning through serial-parallel neural networks. Knowl. Based Syst. 251: 109226 (2022) - [j29]Yinghe Wu, Shulin Pan, Jingyi Chen, Guojie Song, Qiyong Gou:
A Surface-Wave Inversion Method Based on FHLV Loss Function in LSTM. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j28]Di Jin, Wenjun Wang, Guojie Song, Philip S. Yu, Jiawei Han:
Guest Editorial: Special Issue on Network Structural Modeling and Learning in Big Data. IEEE Trans. Big Data 8(4): 867-868 (2022) - [j27]Guojie Song, Chuan Shi, Yizhou Sun, Zhiyuan Liu:
Guest Editorial: Special Issue on Social Media Computing. IEEE Trans. Big Data 8(4): 953-954 (2022) - [j26]Guojie Song, Qingqing Long, Yi Luo, Yiming Wang, Yilun Jin:
Deep Convolutional Neural Network Based Medical Concept Normalization. IEEE Trans. Big Data 8(5): 1195-1208 (2022) - [j25]Guojie Song, Yizhou Zhang, Lingjun Xu, Haibing Lu:
Domain Adaptive Network Embedding. IEEE Trans. Big Data 8(5): 1220-1232 (2022) - [j24]Guojie Song, Liang Zhang, Ziyao Li, Yi Li:
Large Scale Network Embedding: A Separable Approach. IEEE Trans. Knowl. Data Eng. 34(4): 1829-1842 (2022) - [c92]Lingjun Xu, Shiyin Zhang, Guojie Song, Junshan Wang, Tianshu Wu, Guojun Liu:
Taxonomy-Enhanced Graph Neural Networks. CIKM 2022: 2270-2279 - [c91]Zheng Fang, Ziyun Zhang, Guojie Song, Yingxue Zhang, Dong Li, Jianye Hao, Xi Wang:
Invariant Factor Graph Neural Networks. ICDM 2022: 933-938 - [c90]Junshan Wang, Wenhao Zhu, Guojie Song, Liang Wang:
Streaming Graph Neural Networks with Generative Replay. KDD 2022: 1878-1888 - [c89]Shuwen Yang, Zhihao Yang, Dong Li, Yingxue Zhang, Zhanguang Zhang, Guojie Song, Jianye Hao:
Versatile Multi-stage Graph Neural Network for Circuit Representation. NeurIPS 2022 - [c88]Yue Peng, Kun Qian, Guojie Song, Fan Min:
Multi-label Feature Extraction With Distance-Based Graph Attention Network. IJCRS 2022: 203-216 - [c87]Xiaojun Ma, Qin Chen, Yuanyi Ren, Guojie Song, Liang Wang:
Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily. WWW 2022: 1270-1280 - [c86]Zheng Fang, Lingjun Xu, Guojie Song, Qingqing Long, Yingxue Zhang:
Polarized Graph Neural Networks. WWW 2022: 1404-1413 - [i22]Shuwen Yang, Tianyu Wen, Ziyao Li, Guojie Song:
Equivalent Distance Geometry Error for Molecular Conformation Comparison. CoRR abs/2201.08714 (2022) - [i21]Xiaojun Ma, Qin Chen, Yuanyi Ren, Guojie Song, Liang Wang:
Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily. CoRR abs/2203.10280 (2022) - [i20]Xiaojun Ma, Hanyue Chen, Guojie Song:
LEReg: Empower Graph Neural Networks with Local Energy Regularization. CoRR abs/2203.10565 (2022) - 2021
- [j23]Haibing Lu, Xi Chen, Qi Liu, Michele Samorani, Guojie Song, Yanjiang Yang:
Stochastic Workflow Authorizations With Queueing Constraints. IEEE Trans. Dependable Secur. Comput. 18(4): 1605-1619 (2021) - [j22]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) - [c85]Yi Li, Yilun Jin, Guojie Song, Zihao Zhu, Chuan Shi, Yiming Wang:
GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks. AAAI 2021: 4206-4214 - [c84]Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye:
Heterogeneous Graph Structure Learning for Graph Neural Networks. AAAI 2021: 4697-4705 - [c83]Xiaojun Ma, Hanyue Chen, Guojie Song:
LEReg: Empower Graph Neural Networks with Local Energy Regularization. CIKM 2021: 1191-1201 - [c82]Ziyao Li, Shuwen Yang, Guojie Song, Lingsheng Cai:
Conformation-Guided Molecular Representation with Hamiltonian Neural Networks. ICLR 2021 - [c81]Zheng Fang, Qingqing Long, Guojie Song, Kunqing Xie:
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting. KDD 2021: 364-373 - [c80]Qingqing Long, Lingjun Xu, Zheng Fang, Guojie Song:
HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks. KDD 2021: 1129-1138 - [c79]Shuwen Yang, Ziyao Li, Guojie Song, Lingsheng Cai:
Deep Molecular Representation Learning via Fusing Physical and Chemical Information. NeurIPS 2021: 16346-16357 - [c78]Fan Min, Lin-Rong Wang, Shulin Pan, Guo-Jie Song:
DDAE-GAN: Seismic Data Denoising by Integrating Autoencoder and Generative Adversarial Network. IJCRS 2021: 44-56 - [c77]Chen Li, Linmei Hu, Chuan Shi, Guojie Song, Yuanfu Lu:
Sequence-aware Heterogeneous Graph Neural Collaborative Filtering. SDM 2021: 64-72 - [c76]Qingqing Long, Yilun Jin, Yi Wu, Guojie Song:
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. WWW 2021: 1204-1214 - [c75]Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song:
Lorentzian Graph Convolutional Networks. WWW 2021: 1249-1261 - [c74]Xiaojun Ma, Junshan Wang, Hanyue Chen, Guojie Song:
Improving Graph Neural Networks with Structural Adaptive Receptive Fields. WWW 2021: 2438-2447 - [i19]Qingqing Long, Yilun Jin, Yi Wu, Guojie Song:
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. CoRR abs/2104.02995 (2021) - [i18]Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song:
Lorentzian Graph Convolutional Networks. CoRR abs/2104.07477 (2021) - [i17]Ziyao Li, Shuwen Yang, Guojie Song, Lingsheng Cai:
HamNet: Conformation-Guided Molecular Representation with Hamiltonian Neural Networks. CoRR abs/2105.03688 (2021) - [i16]Zheng Fang, Qingqing Long, Guojie Song, Kunqing Xie:
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting. CoRR abs/2106.12931 (2021) - [i15]Shuwen Yang, Ziyao Li, Guojie Song, Lingsheng Cai:
Deep Molecular Representation Learning via Fusing Physical and Chemical Information. CoRR abs/2112.04624 (2021) - [i14]Wenhao Zhu, Ziyao Li, Lingsheng Cai, Guojie Song:
Stepping Back to SMILES Transformers for Fast Molecular Representation Inference. CoRR abs/2112.13305 (2021) - 2020
- [j21]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) - [j20]Shuai Liu, Guojie Song, Wenhao Huang:
Real-time Transportation Prediction Correction using Reconstruction Error in Deep Learning. ACM Trans. Knowl. Discov. Data 14(2): 17:1-17:20 (2020) - [c73]Ziqiang Cheng, Yang Yang, Wei Wang, Wenjie Hu, Yueting Zhuang, Guojie Song:
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets. AAAI 2020: 3617-3624 - [c72]Yilun Jin, Guojie Song, Chuan Shi:
GraLSP: Graph Neural Networks with Local Structural Patterns. AAAI 2020: 4361-4368 - [c71]Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li:
Multi-Component Graph Convolutional Collaborative Filtering. AAAI 2020: 6267-6274 - [c70]Xiaojun Ma, Ziyao Li, Siwei Wei, Guojie Song:
Elaborating the Bayesian Priors in Unsupervised Graph Embedding via Graph Concepts. ADMA 2020: 176-190 - [c69]Junshan Wang, Guojie Song, Yi Wu, Liang Wang:
Streaming Graph Neural Networks via Continual Learning. CIKM 2020: 1515-1524 - [c68]Junshan Wang, Yilun Jin, Guojie Song, Xiaojun Ma:
EPNE: Evolutionary Pattern Preserving Network Embedding. ECAI 2020: 1603-1610 - [c67]Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi:
Learning Node Representations from Noisy Graph Structures. ICDM 2020: 1310-1315 - [c66]Shuwen Yang, Guojie Song, Yilun Jin, Lun Du:
Domain Adaptive Classification on Heterogeneous Information Networks. IJCAI 2020: 1410-1416 - [c65]Qingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei Lin:
Graph Structural-topic Neural Network. KDD 2020: 1065-1073 - [c64]Lichen Jin, Yizhou Zhang, Guojie Song, Yilun Jin:
Active Domain Transfer on Network Embedding. WWW 2020: 2683-2689 - [i13]Qingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei Lin:
Graph Structural-topic Neural Network. CoRR abs/2006.14278 (2020) - [i12]Junshan Wang, Guojie Song, Yi Wu, Liang Wang:
Streaming Graph Neural Networks via Continual Learning. CoRR abs/2009.10951 (2020) - [i11]Junshan Wang, Yilun Jin, Guojie Song, Xiaojun Ma:
EPNE: Evolutionary Pattern Preserving Network Embedding. CoRR abs/2009.11510 (2020) - [i10]Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi:
Learning Node Representations from Noisy Graph Structures. CoRR abs/2012.02434 (2020)
2010 – 2019
- 2019
- [j19]Jianxiong Cao, Guojie Song, Jie Wang, Qihong Shi, Sujing Sun:
Blow-up and global solutions for a class of time fractional nonlinear reaction-diffusion equation with weakly spatial source. Appl. Math. Lett. 91: 201-206 (2019) - [j18]Sizhen Du, Guojie Song, Haikun Hong:
Collective causal inference with lag estimation. Neurocomputing 323: 299-310 (2019) - [j17]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) - [c63]Ziyao Li, Liang Zhang, Guojie Song:
SepNE: Bringing Separability to Network Embedding. AAAI 2019: 4261-4268 - [c62]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 - [c61]Guojie Song, Dan He, Puchun Chen, Jidong Tian, Bin Zhou, Li Luo:
Fusion of Global and Local Gaussian-Hermite Moments for Face Recognition. IGTA 2019: 172-183 - [c60]Ziyao Li, Liang Zhang, Guojie Song:
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks. IJCAI 2019: 2959-2965 - [c59]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 - [c58]Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin:
DANE: Domain Adaptive Network Embedding. IJCAI 2019: 4362-4368 - [c57]Junshan Wang, Zhicong Lu, Guojie Song, Yue Fan, Lun Du, Wei Lin:
Tag2Vec: Learning Tag Representations in Tag Networks. WWW 2019: 3314-3320 - [i9]Ziyao Li, Liang Zhang, Guojie Song:
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks. CoRR abs/1902.09817 (2019) - [i8]Junshan Wang, Zhicong Lu, Guojie Song, Yue Fan, Lun Du, Wei Lin:
Tag2Vec: Learning Tag Representations in Tag Networks. CoRR abs/1905.03041 (2019) - [i7]Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin:
DANE: Domain Adaptive Network Embedding. CoRR abs/1906.00684 (2019) - [i6]Ziqiang Cheng, Yang Yang, Wei Wang, Wenjie Hu, Yueting Zhuang, Guojie Song:
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets. CoRR abs/1911.04143 (2019) - [i5]Yilun Jin, Guojie Song, Chuan Shi:
GraLSP: Graph Neural Networks with Local Structural Patterns. CoRR abs/1911.07675 (2019) - [i4]Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li:
Multi-Component Graph Convolutional Collaborative Filtering. CoRR abs/1911.10699 (2019) - 2018
- [j16]Peng Dou, Guojie Song, Tong Zhao:
Network topology inference from incomplete observation data. Sci. China Inf. Sci. 61(2): 028102:1-028102:3 (2018) - [j15]Sizhen Du, Guojie Song, Haikun Hong, Dong Liu:
Learning dynamic dependency network structure with time lag. Sci. China Inf. Sci. 61(5): 052101:1-052101:16 (2018) - [j14]Tong Zhao, Guojie Song, Xinran He:
Inferring diffusion networks with life stage heterogeneity. Sci. China Inf. Sci. 61(9): 092101:1-092101:16 (2018) - [j13]Junshan Wang, Guojie Song:
A Deep Spatial-Temporal Ensemble Model for Air Quality Prediction. Neurocomputing 314: 198-206 (2018) - [j12]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) - [j11]Sizhen Du, Guojie Song, Lei Han, Haikun Hong:
Temporal Causal Inference with Time Lag. Neural Comput. 30(1) (2018) - [j10]Tian Qin, Wufan Shangguan, Guojie Song, Jie Tang:
Spatio-Temporal Routine Mining on Mobile Phone Data. ACM Trans. Knowl. Discov. Data 12(5): 56:1-56:24 (2018) - [j9]Zhongang Qi, Tianchun Wang, Guojie Song, Weisong Hu, Xi Li, Zhongfei Zhang:
Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-Grained Air Quality. IEEE Trans. Knowl. Data Eng. 30(12): 2285-2297 (2018) - [c56]Yi Luo, Guojie Song, Pengyu Li, Zhongang Qi:
Multi-Task Medical Concept Normalization Using Multi-View Convolutional Neural Network. AAAI 2018: 5868-5875 - [c55]Jing Zhang, Bo Chen, Xianming Wang, Hong Chen, Cuiping Li, Fengmei Jin, Guojie Song, Yutao Zhang:
MEgo2Vec: Embedding Matched Ego Networks for User Alignment Across Social Networks. CIKM 2018: 327-336 - [c54]Yizhou Zhang, Xiaojun Ma, Guojie Song:
Chinese Medical Concept Normalization by Using Text and Comorbidity Network Embedding. ICDM 2018: 777-786 - [c53]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 - [c52]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 - [i3]Ziyao Li, Liang Zhang, Guojie Song:
SepNE: Bringing Separability to Network Embedding. CoRR abs/1811.05614 (2018) - 2017
- [j8]Jianxiong Cao, Yanan Qiu, Guojie Song:
A compact finite difference scheme for variable order subdiffusion equation. Commun. Nonlinear Sci. Numer. Simul. 48: 140-149 (2017) - [j7]Guojie Song, Yuanhao Li, Xiaodong Chen, Xinran He, Jie Tang:
Influential Node Tracking on Dynamic Social Network: An Interchange Greedy Approach. IEEE Trans. Knowl. Data Eng. 29(2): 359-372 (2017) - [c51]Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun:
StructInf: Mining Structural Influence from Social Streams. AAAI 2017: 73-80 - [i2]Zhongang Qi, Tianchun Wang, Guojie Song, Weisong Hu, Xi Li, Zhongfei Zhang:
Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-grained Air Quality. CoRR abs/1711.00939 (2017) - 2016
- [j6]Yushu Chen, Guangwen Yang, Xiao Ma, Conghui He, Guojie Song:
A time-space domain stereo finite difference method for 3D scalar wave propagation. Comput. Geosci. 96: 218-235 (2016) - [c50]Peng Dou, Sizhen Du, Guojie Song:
Budget Minimization with Time and Influence Constraints in Social Network. APWeb (1) 2016: 304-315 - [c49]Tian Qin, Guojie Song, Sizhen Du:
Routine Mining Based Anomaly Detection in Mobile Phone Data. SDM 2016: 180-188 - [c48]Peng Dou, Sizhen Du, Guojie Song:
Inferring Diffusion Network on Incomplete Cascade Data. WAIM (1) 2016: 325-337 - 2015
- [j5]Guojie Song, Lei Han, Kunqing Xie:
Overlapping Decomposition for Gaussian Graphical Modeling. IEEE Trans. Knowl. Data Eng. 27(8): 2217-2230 (2015) - [j4]Guojie Song, Xiabing Zhou, Yu Wang, Kunqing Xie:
Influence Maximization on Large-Scale Mobile Social Network: A Divide-and-Conquer Method. IEEE Trans. Parallel Distributed Syst. 26(5): 1379-1392 (2015) - [c47]Wenhao Huang, Haikun Hong, Kaigui Bian, Xiabing Zhou, Guojie Song, Kunqing Xie:
Improving deep neural network ensembles using reconstruction error. IJCNN 2015: 1-7 - [c46]Xiabing Zhou, Wenhao Huang, Ni Zhang, Weisong Hu, Sizhen Du, Guojie Song, Kunqing Xie:
Probabilistic dynamic causal model for temporal data. IJCNN 2015: 1-8 - [c45]Xiaodong Chen, Guojie Song, Xinran He, Kunqing Xie:
On Influential Nodes Tracking in Dynamic Social Networks. SDM 2015: 613-621 - 2014
- [j3]Wenhao Huang, Guojie Song, Haikun Hong, Kunqing Xie:
Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning. IEEE Trans. Intell. Transp. Syst. 15(5): 2191-2201 (2014) - [c44]Lei Han, Yu Zhang, Guojie Song, Kunqing Xie:
Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework. AAAI 2014: 1854-1860 - [c43]Mo Yu, Wenjun Si, Guojie Song, Zhenhui Li, John Yen:
Who were you talking to - Mining interpersonal relationships from cellphone network data. ASONAM 2014: 485-490 - [c42]Xingxing Xing, Wenhao Huang, Guojie Song, Kunqing Xie:
Traffic zone division using mobile billing data. FSKD 2014: 692-697 - [c41]Wenhao Huang, Haikun Hong, Guojie Song, Kunqing Xie:
Deep process neural network for temporal deep learning. IJCNN 2014: 465-472 - [c40]Wenhao Huang, Ni Zhang, Weisong Hu, Haikun Hong, Guojie Song, Kunqing Xie:
Dynamic boosting in deep learning using reconstruction error. IJCNN 2014: 473-480 - [c39]Haikun Hong, Wenhao Huang, Guojie Song, Kunqing Xie:
Metric-Based Multi-Task Grouping Neural Network for Traffic Flow Forecasting. ISNN 2014: 499-507 - [c38]Xingxing Xing, Man Li, Weisong Hu, Wenhao Huang, Guojie Song, Kunqing Xie:
A Spatial-temporal Topic Segmentation Model for Human Mobile Behavior. WAIM 2014: 255-267 - 2013
- [c37]Wenhao Huang, Haikun Hong, Man Li, Weisong Hu, Guojie Song, Kunqing Xie:
Deep Architecture for Traffic Flow Prediction. ADMA (2) 2013: 165-176 - [c36]Wenhao Huang, Man Li, Weisong Hu, Guojie Song, Kunqing Xie:
Automated urban location annotation on mobile records. FSKD 2013: 951-956 - [c35]Wenhao Huang, Man Li, Weisong Hu, Guojie Song, Xingxing Xing, Kunqing Xie:
Cost sensitive GPS-based activity recognition. FSKD 2013: 962-966 - [c34]Wenhao Huang, Man Li, Weisong Hu, Guojie Song, Kunqing Xie:
Hierarchical destination prediction based on GPS history. FSKD 2013: 972-977 - [c33]Yang You, Haohuan Fu, Xiaomeng Huang, Guojie Song, Lin Gan, Wenjian Yu, Guangwen Yang:
Accelerating the 3D Elastic Wave Forward Modeling on GPU and MIC. IPDPS Workshops 2013: 1088-1096 - [c32]Wenhao Huang, Guojie Song, Man Li, Weisong Hu, Kunqing Xie:
Adaptive Weight Optimization for Classification of Imbalanced Data. IScIDE 2013: 546-553 - 2012
- [c31]Tianshu Wu, Kunqing Xie, Dong Xinpin, Guojie Song:
A online boosting approach for traffic flow forecasting under abnormal conditions. FSKD 2012: 2555-2559 - [c30]Tianshu Wu, Kunqing Xie, Chengkai Nie, Guojie Song:
An Adaption of Relief for Redundant Feature Elimination. ISNN (2) 2012: 73-81 - [c29]Ping Zhang, Kunqing Xie, Guojie Song:
A short-term freeway traffic flow prediction method based on road section traffic flow structure pattern. ITSC 2012: 534-539 - [c28]Ruiqi Liu, Xingxing Xing, Guojie Song, Kunqing Xie, Ping Zhang:
Measurement analysis of traffic flow uncertainty on Chinese highway network. ITSC 2012: 540-545 - [c27]Lei Han, Guojie Song, Gao Cong, Kunqing Xie:
Overlapping decomposition for causal graphical modeling. KDD 2012: 114-122 - [c26]Xinran He, Guojie Song, Wei Chen, Qingye Jiang:
Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold Model. SDM 2012: 463-474 - 2011
- [c25]Qingye Jiang, Guojie Song, Gao Cong, Yu Wang, Wenjun Si, Kunqing Xie:
Simulated Annealing Based Influence Maximization in Social Networks. AAAI 2011: 127-132 - [c24]Dafeng Xu, Guojie Song, Peng Gao, Rongzeng Cao, Xinwei Nie, Kunqing Xie:
Transportation Modes Identification from Mobile Phone Data Using Probabilistic Models. ADMA (2) 2011: 359-371 - [c23]Nan Zhao, Wenhao Huang, Guojie Song, Kunqing Xie:
Discrete Trajectory Prediction on Mobile Data. APWeb 2011: 77-88 - [i1]Xinran He, Guojie Song, Wei Chen, Qingye Jiang:
Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold Model Technical Report. CoRR abs/1110.4723 (2011) - 2010
- [c22]Wenhao Huang, Zhengbin Dong, Nan Zhao, Hao Tian, Guojie Song, Guanhua Chen, Yun Jiang, Kunqing Xie:
Anchor Points Seeking of Large Urban Crowd Based on the Mobile Billing Data. ADMA (1) 2010: 346-357 - [c21]Lei Han, Meng Shuai, Kunqing Xie, Guojie Song, Xiujun Ma:
Locally kernel regression adapting with data distribution in prediction of traffic flow. Geoinformatics 2010: 1-6 - [c20]Hao Tian, Xiujun Ma, Han Wang, Guojie Song, Kunqing Xie:
A novel approach to estimate human space-time path based on mobile phone call records. Geoinformatics 2010: 1-6 - [c19]Lei Han, Kun-Qing Xie, Guo-Jie Song:
Adaptive Fit Parameters Tuning with Data Density Changes in Locally Weighted Learning. ISNN (2) 2010: 408-415 - [c18]Yu Wang, Gao Cong, Guojie Song, Kunqing Xie:
Community-based greedy algorithm for mining top-K influential nodes in mobile social networks. KDD 2010: 1039-1048
2000 – 2009
- 2009
- [j2]Guojie Song, Bin Cui, Baihua Zheng, Kunqing Xie, Dongqing Yang:
Accelerating sequence searching: dimensionality reduction method. Knowl. Inf. Syst. 20(3): 301-322 (2009) - [j1]Bin Cui, Lijiang Chen, Linhao Xu, Hua Lu, Guojie Song, Quanqing Xu:
Efficient Skyline Computation in Structured Peer-to-Peer Systems. IEEE Trans. Knowl. Data Eng. 21(7): 1059-1072 (2009) - [c17]Fan Lin, Kunqing Xie, Guojie Song, Tianshu Wu:
A Novel Spatio-temporal Clustering Approach by Process Similarity. FSKD (5) 2009: 150-154 - [c16]Zhengbin Dong, Guojie Song, Kunqing Xie, Yixian Sun, Jingyao Wang:
Adequacy of Data for Mining Individual Friendship Pattern from Cellular Phone Call Logs. FSKD (5) 2009: 573-577 - [c15]Zhengbin Dong, Guojie Song, Kunqing Xie, Ke Tang, Jingyao Wang:
Statistical Analysis of Real Large-Scale Mobile Social Network. FSKD (2) 2009: 612-616 - [c14]Tianshu Wu, Kunqing Xie, Guojie Song, Xingui He:
Numerical Learning Method for Process Neural Network. ISNN (1) 2009: 670-678 - [c13]Zhengbin Dong, Guo-Jie Song, Kun-Qing Xie, Jingyao Wang:
An experimental study of large-scale mobile social network. WWW 2009: 1175-1176 - 2008
- [c12]Guojie Song, Bin Cui, Baihua Zheng, Kunqing Xie, Dongqing Yang:
Squeezing Long Sequence Data for Efficient Similarity Search. APWeb 2008: 438-449 - [c11]Meng Shuai, Kunqing Xie, Guanhua Chen, Xiuli Ma, Guojie Song:
A Kalman Filter Based Approach for Outlier Detection in Sensor Networks. CSSE (4) 2008: 154-157 - [c10]Meng Shuai, Kunqing Xie, Wen Pu, Guojie Song, Xiujun Ma:
An online approach based on locally weighted learning for short-term traffic flow prediction. GIS 2008: 45 - [c9]Shan He, Cheng Hu, Guojie Song, Kunqing Xie, Yizhou Sun:
Real-Time Short-Term Traffic Flow Forecasting Based on Process Neural Network. ISNN (2) 2008: 560-569 - [c8]Tianshu Wu, Kunqing Xie, Guojie Song, Cheng Hu:
A Multiple SVR Approach with Time Lags for Traffic Flow Prediction. ITSC 2008: 228-233 - [c7]Cheng Hu, Kunqing Xie, Guojie Song, Tianshu Wu:
Hybrid Process Neural Network based on Spatio-Temporal Similarities for Short-Term Traffic Flow Prediction. ITSC 2008: 253-258 - [c6]Meng Shuai, Kunqing Xie, Xiujun Ma, Guojie Song:
An On-Road Wireless Sensor Network Approach for Urban Traffic State Monitoring. ITSC 2008: 1195-1200 - 2007
- [c5]Ziyu Lin, Dongqing Yang, Guojie Song, Tengjiao Wang:
Dealing with Query Contention Issue in Real-Time Data Warehouses by Dynamic Multi-level Caches. CIT 2007: 122-127 - [c4]Ziyu Lin, Dongqing Yang, Guojie Song, Tengjiao Wang:
User-Oriented Materialized View Selection. CIT 2007: 133-138 - [c3]Guojie Song, Dongqing Yang, Bin Cui, Baihua Zheng, Yunfeng Liu, Kunqing Xie:
CLAIM: An Efficient Method for Relaxed Frequent Closed Itemsets Mining over Stream Data. DASFAA 2007: 664-675 - [c2]Guojie Song, Dongqing Yang, Yunfeng Liu, Bin Cui, Ling Wu, Kunqing Xie:
An Optimized Process Neural Network Model. DASFAA 2007: 898-904 - 2006
- [c1]Guojie Song, Dongqing Yang, Ling Wu, Tengjiao Wang, Shiwei Tang:
A Mixed Process Neural Network and its Application to Churn Prediction in Mobile Communications. ICDM Workshops 2006: 798-802
Coauthor Index
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