Xiaojie Guo

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 48

Top Topics

Generative Model

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Shiyu Wang, Yuanqi Du, Xiaojie Guo, Bo Pan, Zhaohui S. Qin, Liang Zhao
Controllable Data Generation by Deep Learning: A Review. ACM Comput. Surv. 56 (9) (2024)
Negar Etemadyrad, Yuyang Gao, Qingzhe Li, Xiaojie Guo, Frank Krueger, Qixiang Lin, Deqiang Qiu, Liang Zhao
Functional Connectivity Prediction With Deep Learning for Graph Transformation. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
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 and generation for e-commerce recommendation. AI Mag. 44 (1) (2023)
Xiaojie Guo, Lingfei Wu, Liang Zhao
Deep Graph Translation. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
Tutorials at The Web Conference 2023. WWW (Companion Volume) (2023)
Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo
Deep Learning on Graphs: Methods and Applications (DLG-KDD2023). KDD (2023)
Xiaojie Guo, Liang Zhao
A Systematic Survey on Deep Generative Models for Graph Generation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
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. Found. Trends Mach. Learn. 16 (2) (2023)
Hongru Yang, Yingbin Liang, Xiaojie Guo, Lingfei Wu, Zhangyang Wang
Theoretical Characterization of How Neural Network Pruning Affects its Generalization. CoRR (2023)
Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo
Graph Neural Networks: Foundation, Frontiers and Applications. KDD (2023)
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 (2023)
Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Ann Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, William Wuest, Amarda Shehu, Liang Zhao
Multi-objective Deep Data Generation with Correlated Property Control. CoRR (2022)
Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi
Compact Graph Structure Learning via Mutual Information Compression. WWW (2022)
Shiyu Wang, Yuanqi Du, Xiaojie Guo, Bo Pan, Liang Zhao
Controllable Data Generation by Deep Learning: A Review. CoRR (2022)
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)
Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao
Interpretable Molecular Graph Generation via Monotonic Constraints. CoRR (2022)
Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao
Disentangled Spatiotemporal Graph Generative Models. AAAI (2022)
Shiyu Wang, Xiaojie Guo, Liang Zhao
Deep Generative Model for Periodic Graphs. CoRR (2022)
Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu
Automatic Controllable Product Copywriting for E-Commerce. CoRR (2022)
Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao
Interpretable Molecular Graph Generation via Monotonic Constraints. SDM (2022)
Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao
Disentangled Spatiotemporal Graph Generative Models. CoRR (2022)
Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo
Graph Neural Networks: Foundation, Frontiers and Applications. KDD (2022)
Tanmoy Chowdhury, Ashkan Vakil, Banafsheh Saber Latibari, Seyed 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)
Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo
Deep Learning on Graphs: Methods and Applications (DLG-KDD2022). KDD (2022)
Yuanqi Du, Xiaojie Guo, Yinkai Wang, Amarda Shehu, Liang Zhao
Small molecule generation via disentangled representation learning. Bioinform. 38 (12) (2022)
Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi
Compact Graph Structure Learning via Mutual Information Compression. CoRR (2022)
Shiyu Wang, Xiaojie Guo, Liang Zhao
Deep Generative Model for Periodic Graphs. NeurIPS (2022)
Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu
Automatic Controllable Product Copywriting for E-Commerce. KDD (2022)
Xiaojie Guo, Yuanqi Du, Liang Zhao
Deep Generative Models for Spatial Networks. KDD (2021)
Xiaojie Guo, Liang Zhao, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao
Deep graph transformation for attributed, directed, and signed networks. Knowl. Inf. Syst. 63 (6) (2021)
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)
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)
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 (2021)
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 (2021)
Lingfei Wu, Jiliang Tang, Yinglong Xia, Jian Pei, Xiaojie Guo
The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21). KDD (2021)
Xiaojie Guo, Yuanqi Du, Liang Zhao
Property Controllable Variational Autoencoder via Invertible Mutual Dependence. ICLR (2021)
Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye
Interpretable Deep Graph Generation with Node-edge Co-disentanglement. KDD (2020)
Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement. CoRR (2020)
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 (2020)
Xiaojie Guo, Sivani Tadepalli, Liang Zhao, Amarda Shehu
Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder. CoRR (2020)
Sai Manoj Pudukotai Dinakarrao, Xiaojie Guo, Hossein Sayadi, Cameron Nowzari, Avesta Sasan, Setareh Rafatirad, Liang Zhao, Houman Homayoun
Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics. IEEE Access 8 (2020)
Xiaojie Guo, Liang Zhao
A Systematic Survey on Deep Generative Models for Graph Generation. CoRR (2020)
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 (2019)
Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng, Liang Zhao
Multi-stage Deep Classifier Cascades for Open World Recognition. CIKM (2019)
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)
Xiaojie Guo, Lingfei Wu, Liang Zhao
Deep Graph Translation. CoRR (2018)
Yuyang Gao, Xiaojie Guo, Liang Zhao
Local Event Forecasting and Synthesis Using Unpaired Deep Graph Translations. LENS@SIGSPATIAL (2018)
Liang Zhao, Junxiang Wang, Xiaojie Guo
Distant-Supervision of Heterogeneous Multitask Learning for Social Event Forecasting With Multilingual Indicators. AAAI (2018)