Xiaojie Guo

According to our database, Xiaojie Guo authored at least 39 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Controllable Data Generation by Deep Learning: A Review.

Shiyu Wang, Yuanqi Du, Xiaojie Guo, Bo Pan, Zhaohui S. Qin, Liang Zhao

ACM Comput. Surv., September, 2024

Functional Connectivity Prediction With Deep Learning for Graph Transformation.

Negar Etemadyrad, Yuyang Gao, Qingzhe Li, Xiaojie Guo, Frank Krueger, Qixiang Lin, Deqiang Qiu, Liang Zhao

IEEE Trans. Neural Networks Learn. Syst., April, 2024

When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods.

Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Dawei Zhou, Yada Zhu, Julian Shun

CoRR, 2024

FraudGT: A Simple, Effective, and Efficient Graph Transformer for Financial Fraud Detection.

Junhong Lin, Xiaojie Guo, Yada Zhu, Samuel Mitchell, Erik Altman, Julian Shun

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023

Deep Graph Translation.

Xiaojie Guo, Lingfei Wu, Liang Zhao

IEEE Trans. Neural Networks Learn. Syst., November, 2023

A Systematic Survey on Deep Generative Models for Graph Generation.

Xiaojie Guo, Liang Zhao

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Intelligent online selling point extraction and generation for e-commerce recommendation.

Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Jianchao Lu, Yun Xiao, Bo Long, Han Yu, Lingfei Wu

AI Mag., March, 2023

Graph Neural Networks for Natural Language Processing: A Survey.

Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long

Found. Trends Mach. Learn., 2023

Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation.

Gangyi Zhang, Chongming Gao, Wenqiang Lei, Xiaojie Guo, Shijun Li, Lingfei Wu, Hongshen Chen, Zhuozhi Ding, Sulong Xu, Xiangnan He

CoRR, 2023

Pruning Before Training May Improve Generalization, Provably.

Hongru Yang, Yingbin Liang, Xiaojie Guo, Lingfei Wu, Zhangyang Wang

CoRR, 2023

Tutorials at The Web Conference 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

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Deep Learning on Graphs: Methods and Applications (DLG-KDD2023).

Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Graph Neural Networks: Foundation, Frontiers and Applications.

Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Controllable Data Generation by Deep Learning: A Review.

Shiyu Wang, Yuanqi Du, Xiaojie Guo, Bo Pan, Liang Zhao

CoRR, 2022

Small molecule generation via disentangled representation learning.

Yuanqi Du, Xiaojie Guo, Yinkai Wang, Amarda Shehu, Liang Zhao

Bioinform., 2022

Compact Graph Structure Learning via Mutual Information Compression.

Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Interpretable Molecular Graph Generation via Monotonic Constraints.

Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Multi-objective Deep Data Generation with Correlated Property Control.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Generative Model for Periodic Graphs.

Shiyu Wang, Xiaojie Guo, Liang Zhao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Learning on Graphs: Methods and Applications (DLG-KDD2022).

Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Automatic Controllable Product Copywriting for E-Commerce.

Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis.

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

Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

Disentangled Spatiotemporal Graph Generative Models.

Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Intelligent Online Selling Point Extraction for E-commerce Recommendation.

Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Jianchao Lu, Yun Xiao, Bo Long, Han Yu, Lingfei Wu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Dataset for Disentangled Representation Learning for Interpretable Molecule Generation.

Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao

Dataset, April, 2021

Deep graph transformation for attributed, directed, and signed networks.

Xiaojie Guo, Liang Zhao, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao

Knowl. Inf. Syst., 2021

Intelligent Online Selling Point Extraction for E-Commerce Recommendation.

Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu

CoRR, 2021

GraphGT: Machine Learning Datasets for Graph Generation and Transformation.

Yuanqi Du, Shiyu Wang, Xiaojie Guo, Hengning Cao, Shujie Hu, Junji Jiang, Aishwarya Varala, Abhinav Angirekula, Liang Zhao

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21).

Lingfei Wu, Jiliang Tang, Yinglong Xia, Jian Pei, Xiaojie Guo

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Deep Generative Models for Spatial Networks.

Xiaojie Guo, Yuanqi Du, Liang Zhao

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Property Controllable Variational Autoencoder via Invertible Mutual Dependence.

Xiaojie Guo, Yuanqi Du, Liang Zhao

Proceedings of the 9th International Conference on Learning Representations, 2021

Deep Latent-Variable Models for Controllable Molecule Generation.

Yuanqi Du, Yinkai Wang, Fardina Fathmiul Alam, Yuanjie Lu, Xiaojie Guo, Liang Zhao, Amarda Shehu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder.

Xiaojie Guo, Sivani Tadepalli, Liang Zhao, Amarda Shehu

CoRR, 2020

Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics.

Sai Manoj Pudukotai Dinakarrao, Xiaojie Guo, Hossein Sayadi, Cameron Nowzari, Avesta Sasan, Setareh Rafatirad, Liang Zhao, Houman Homayoun

IEEE Access, 2020

Interpretable Deep Graph Generation with Node-edge Co-disentanglement.

Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Deep Multi-attributed Graph Translation with Node-Edge Co-Evolution.

Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Multi-stage Deep Classifier Cascades for Open World Recognition.

Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng, Liang Zhao

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Local Event Forecasting and Synthesis Using Unpaired Deep Graph Translations.

Yuyang Gao, Xiaojie Guo, Liang Zhao

Proceedings of the 2nd ACM SIGSPATIAL Workshop on Analytics for Local Events and News, 2018

Distant-Supervision of Heterogeneous Multitask Learning for Social Event Forecasting With Multilingual Indicators.

Liang Zhao, Junxiang Wang, Xiaojie Guo

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018