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Xiaojie Guo 0002
Person information
- affiliation: George Mason University, Fairfax, USA
Other persons with the same name
- Xiaojie Guo — disambiguation page
- Xiaojie Guo 0001
— Tianjin University, School of Computer Software, China (and 1 more)
- Xiaojie Guo 0003 — Grenoble Alpes University, France
- Xiaojie Guo 0004
- Xiaojie Guo 0005
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2020 – today
- 2024
- [j9]Shiyu Wang
Controllable Data Generation by Deep Learning: A Review. ACM Comput. Surv. 56(9): 228:1-228:38 (2024) - [j8]Negar Etemadyrad
Functional Connectivity Prediction With Deep Learning for Graph Transformation. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4862-4875 (2024) - [c24]Junhong Lin
FraudGT: A Simple, Effective, and Efficient Graph Transformer for Financial Fraud Detection. ICAIF 2024: 292-300 - [i18]Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Dawei Zhou, Yada Zhu, Julian Shun:
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods. CoRR abs/2407.10916 (2024) - 2023
- [j7]Xiaojie Guo
Intelligent online selling point extraction and generation for e-commerce recommendation. AI Mag. 44(1): 16-29 (2023) - [j6]Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li
Graph Neural Networks for Natural Language Processing: A Survey. Found. Trends Mach. Learn. 16(2): 119-328 (2023) - [j5]Xiaojie Guo
A Systematic Survey on Deep Generative Models for Graph Generation. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5370-5390 (2023) - [j4]Xiaojie Guo
Deep Graph Translation. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8225-8234 (2023) - [c23]Lingfei Wu
Graph Neural Networks: Foundation, Frontiers and Applications. KDD 2023: 5831-5832 - [c22]Lingfei Wu
Deep Learning on Graphs: Methods and Applications (DLG-KDD2023). KDD 2023: 5891-5892 - [c21]Valeria Fionda
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [i17]Hongru Yang, Yingbin Liang, Xiaojie Guo, Lingfei Wu, Zhangyang Wang:
Pruning Before Training May Improve Generalization, Provably. CoRR abs/2301.00335 (2023) - [i16]Gangyi Zhang, Chongming Gao, Wenqiang Lei, Xiaojie Guo, Shijun Li, Lingfei Wu, Hongshen Chen, Zhuozhi Ding, Sulong Xu, Xiangnan He:
Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation. CoRR abs/2306.04487 (2023) - 2022
- [j3]Yuanqi Du, Xiaojie Guo, Yinkai Wang, Amarda Shehu
Small molecule generation via disentangled representation learning. Bioinform. 38(12): 3200-3208 (2022) - [c20]Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao:
Disentangled Spatiotemporal Graph Generative Models. AAAI 2022: 6541-6549 - [c19]Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Jianchao Lu, Yun Xiao, Bo Long, Han Yu, Lingfei Wu:
Intelligent Online Selling Point Extraction for E-commerce Recommendation. AAAI 2022: 12360-12368 - [c18]Tanmoy Chowdhury, Ashkan Vakil, Banafsheh Saber Latibari, Sayed Aresh Beheshti-Shirazi, Ali Mirzaeian, Xiaojie Guo, Sai Manoj P. D., Houman Homayoun, Ioannis Savidis, Liang Zhao, Avesta Sasan:
RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis. ACM Great Lakes Symposium on VLSI 2022: 493-500 - [c17]Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu:
Automatic Controllable Product Copywriting for E-Commerce. KDD 2022: 2946-2956 - [c16]Lingfei Wu, Peng Cui, Jian Pei
Graph Neural Networks: Foundation, Frontiers and Applications. KDD 2022: 4840-4841 - [c15]Lingfei Wu, Jian Pei
Deep Learning on Graphs: Methods and Applications (DLG-KDD2022). KDD 2022: 4906-4907 - [c14]Shiyu Wang, Xiaojie Guo, Liang Zhao:
Deep Generative Model for Periodic Graphs. NeurIPS 2022 - [c13]Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Ann Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, William M. Wuest, Amarda Shehu, Liang Zhao:
Multi-objective Deep Data Generation with Correlated Property Control. NeurIPS 2022 - [c12]Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao:
Interpretable Molecular Graph Generation via Monotonic Constraints. SDM 2022: 73-81 - [c11]Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi:
Compact Graph Structure Learning via Mutual Information Compression. WWW 2022: 1601-1610 - [i15]Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi:
Compact Graph Structure Learning via Mutual Information Compression. CoRR abs/2201.05540 (2022) - [i14]Shiyu Wang, Xiaojie Guo, Liang Zhao:
Deep Generative Model for Periodic Graphs. CoRR abs/2201.11932 (2022) - [i13]Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao:
Disentangled Spatiotemporal Graph Generative Models. CoRR abs/2203.00411 (2022) - [i12]Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao:
Interpretable Molecular Graph Generation via Monotonic Constraints. CoRR abs/2203.00412 (2022) - [i11]Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu:
Automatic Controllable Product Copywriting for E-Commerce. CoRR abs/2206.10103 (2022) - [i10]Shiyu Wang, Yuanqi Du, Xiaojie Guo, Bo Pan, Liang Zhao:
Controllable Data Generation by Deep Learning: A Review. CoRR abs/2207.09542 (2022) - [i9]Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Ann Petersen
Multi-objective Deep Data Generation with Correlated Property Control. CoRR abs/2210.01796 (2022) - 2021
- [j2]Xiaojie Guo, Liang Zhao
Deep graph transformation for attributed, directed, and signed networks. Knowl. Inf. Syst. 63(6): 1305-1337 (2021) - [c10]Yuanqi Du, Yinkai Wang, Fardina Fathmiul Alam, Yuanjie Lu, Xiaojie Guo, Liang Zhao, Amarda Shehu:
Deep Latent-Variable Models for Controllable Molecule Generation. BIBM 2021: 372-375 - [c9]Xiaojie Guo, Yuanqi Du, Liang Zhao:
Property Controllable Variational Autoencoder via Invertible Mutual Dependence. ICLR 2021 - [c8]Xiaojie Guo, Yuanqi Du, Liang Zhao:
Deep Generative Models for Spatial Networks. KDD 2021: 505-515 - [c7]Lingfei Wu, Jiliang Tang, Yinglong Xia, Jian Pei
The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21). KDD 2021: 4167-4168 - [c6]Yuanqi Du, Shiyu Wang, Xiaojie Guo, Hengning Cao, Shujie Hu, Junji Jiang, Aishwarya Varala, Abhinav Angirekula, Liang Zhao:
GraphGT: Machine Learning Datasets for Graph Generation and Transformation. NeurIPS Datasets and Benchmarks 2021 - [d1]Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao:
Dataset for Disentangled Representation Learning for Interpretable Molecule Generation. IEEE DataPort, 2021 - [i8]Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long:
Graph Neural Networks for Natural Language Processing: A Survey. CoRR abs/2106.06090 (2021) - [i7]Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu:
Intelligent Online Selling Point Extraction for E-Commerce Recommendation. CoRR abs/2112.10613 (2021) - 2020
- [j1]Sai Manoj Pudukotai Dinakarrao
Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics. IEEE Access 8: 138508-138528 (2020) - [c5]Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye:
Interpretable Deep Graph Generation with Node-edge Co-disentanglement. KDD 2020: 1697-1707 - [i6]Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution. CoRR abs/2003.09945 (2020) - [i5]Xiaojie Guo, Sivani Tadepalli, Liang Zhao, Amarda Shehu:
Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder. CoRR abs/2004.07119 (2020) - [i4]Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye:
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement. CoRR abs/2006.05385 (2020) - [i3]Xiaojie Guo, Liang Zhao:
A Systematic Survey on Deep Generative Models for Graph Generation. CoRR abs/2007.06686 (2020)
2010 – 2019
- 2019
- [c4]Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng
Multi-stage Deep Classifier Cascades for Open World Recognition. CIKM 2019: 179-188 - [c3]Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao
Deep Multi-attributed Graph Translation with Node-Edge Co-Evolution. ICDM 2019: 250-259 - [i2]Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng, Liang Zhao:
Multi-stage Deep Classifier Cascades for Open World Recognition. CoRR abs/1908.09931 (2019) - 2018
- [c2]Liang Zhao, Junxiang Wang, Xiaojie Guo:
Distant-Supervision of Heterogeneous Multitask Learning for Social Event Forecasting With Multilingual Indicators. AAAI 2018: 4498-4505 - [c1]Yuyang Gao, Xiaojie Guo, Liang Zhao:
Local Event Forecasting and Synthesis Using Unpaired Deep Graph Translations. LENS@SIGSPATIAL 2018: 5:1-5:8 - [i1]Xiaojie Guo, Lingfei Wu, Liang Zhao:
Deep Graph Translation. CoRR abs/1805.09980 (2018)
Coauthor Index
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last updated on 2024-12-11 20:45 CET by the dblp team
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