Xiaojie Guo

61 papers A* 17A 2B 1Journal 33Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient Deep Generative Models for Spatial Networks via Spanning Tree Sampler.
ACM Trans. Knowl. Discov. Data
Xiaojie Guo, Yuanqi Du, Zheng Zhang, Liang Zhao
2026 — conf
UniToolBench: A Benchmark for Tool-Augmented LLMs in Cross-Domain, Universal Task Automation.
EACL (Findings)
Xiaojie Guo, Yang Zhang, Bing Zhang, Ryo Kawahara, Mikio Takeuchi, Yada Zhu
2025 J jnl
HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations.
CoRR
Shuaicheng Zhang, Haohui Wang, Junhong Lin, Xiaojie Guo, Yada Zhu, Si Zhang, Dongqi Fu, Dawei Zhou
2025 J jnl
Random Pruning Over-parameterized Neural Networks Can Improve Generalization: A Training Dynamics Analysis.
J. Mach. Learn. Res.
Hongru Yang, Yingbin Liang, Xiaojie Guo, Lingfei Wu, Zhangyang Wang
2025 A* conf
Reasoning of Large Language Models over Knowledge Graphs with Super-Relations.
ICLR
Song Wang, Junhong Lin, Xiaojie Guo, Julian Shun, Jundong Li, Yada Zhu
2025 J jnl
Reasoning of Large Language Models over Knowledge Graphs with Super-Relations.
CoRR
Song Wang, Junhong Lin, Xiaojie Guo, Julian Shun, Jundong Li, Yada Zhu
2025 J jnl
Temporal Reasoning with Large Language Models Augmented by Evolving Knowledge Graphs.
CoRR
Junhong Lin, Song Wang, Xiaojie Guo, Julian Shun, Yada Zhu
2025 J jnl
Vague Preference Policy Learning for Conversational Recommendation.
ACM Trans. Inf. Syst.
Gangyi Zhang, Chongming Gao, Wenqiang Lei, Xiaojie Guo, Shijun Li, Hongshen Chen, Zhuozhi Ding, Sulong Xu, Lingfei Wu
2025 — conf
When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark.
KDD (2)
Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Yada Zhu, Julian Shun
2024 J jnl
Controllable Data Generation by Deep Learning: A Review.
ACM Comput. Surv.
Shiyu Wang, Yuanqi Du, Xiaojie Guo, Bo Pan, Zhaohui S. Qin, Liang Zhao
2024 — conf
FraudGT: A Simple, Effective, and Efficient Graph Transformer for Financial Fraud Detection.
ICAIF
Junhong Lin, Xiaojie Guo, Yada Zhu, Samuel Mitchell, Erik Altman, Julian Shun
2024 J jnl
Functional Connectivity Prediction With Deep Learning for Graph Transformation.
IEEE Trans. Neural Networks Learn. Syst.
Negar Etemadyrad, Yuyang Gao, Qingzhe Li, Xiaojie Guo, Frank Krueger, Qixiang Lin, Deqiang Qiu, Liang Zhao
2024 B conf
UnifiedGT: Towards a Universal Framework of Transformers in Large-Scale Graph Learning.
IEEE Big Data
Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Dawei Zhou, Yada Zhu, Julian Shun
2024 J jnl
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods.
CoRR
Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Dawei Zhou, Yada Zhu, Julian Shun
2023 J jnl
A Systematic Survey on Deep Generative Models for Graph Generation.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiaojie Guo, Liang Zhao
2023 J jnl
Deep Graph Translation.
IEEE Trans. Neural Networks Learn. Syst.
Xiaojie Guo, Lingfei Wu, Liang Zhao
2023 A* conf
Deep Learning on Graphs: Methods and Applications (DLG-KDD2023).
KDD
Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo
2023 J jnl
Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation.
CoRR
Gangyi Zhang, Chongming Gao, Wenqiang Lei, Xiaojie Guo, Shijun Li, Lingfei Wu, Hongshen Chen, Zhuozhi Ding, Sulong Xu, Xiangnan He
2023 J jnl
Graph Neural Networks for Natural Language Processing: A Survey.
Found. Trends Mach. Learn.
Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long
2023 A* conf
Graph Neural Networks: Foundation, Frontiers and Applications.
KDD
Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo
2023 J jnl
Intelligent online selling point extraction and generation for e-commerce recommendation.
AI Mag.
Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Jianchao Lu, Yun Xiao, Bo Long, Han Yu, Lingfei Wu
2023 J jnl
Pruning Before Training May Improve Generalization, Provably.
CoRR
Hongru Yang, Yingbin Liang, Xiaojie Guo, Lingfei Wu, Zhangyang Wang
2023 — conf
Tutorials at The Web Conference 2023.
WWW (Companion Volume)
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 R. 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
2022 A* conf
Automatic Controllable Product Copywriting for E-Commerce.
KDD
Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu
2022 J jnl
Automatic Controllable Product Copywriting for E-Commerce.
CoRR
Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu
2022 A* conf
Compact Graph Structure Learning via Mutual Information Compression.
WWW
Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi
2022 J jnl
Compact Graph Structure Learning via Mutual Information Compression.
CoRR
Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi
2022 J jnl
Controllable Data Generation by Deep Learning: A Review.
CoRR
Shiyu Wang, Yuanqi Du, Xiaojie Guo, Bo Pan, Liang Zhao
2022 A* conf
Deep Generative Model for Periodic Graphs.
NeurIPS
Shiyu Wang, Xiaojie Guo, Liang Zhao
2022 J jnl
Deep Generative Model for Periodic Graphs.
CoRR
Shiyu Wang, Xiaojie Guo, Liang Zhao
2022 A* conf
Deep Learning on Graphs: Methods and Applications (DLG-KDD2022).
KDD
Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo
2022 A* conf
Disentangled Spatiotemporal Graph Generative Models.
AAAI
Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao
2022 J jnl
Disentangled Spatiotemporal Graph Generative Models.
CoRR
Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao
2022 A* conf
Graph Neural Networks: Foundation, Frontiers and Applications.
KDD
Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo
2022 A* conf
Intelligent Online Selling Point Extraction for E-commerce Recommendation.
AAAI
Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Jianchao Lu, Yun Xiao, Bo Long, Han Yu, Lingfei Wu
2022 A conf
Interpretable Molecular Graph Generation via Monotonic Constraints.
SDM
Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao
2022 J jnl
Interpretable Molecular Graph Generation via Monotonic Constraints.
CoRR
Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao
2022 A* conf
Multi-objective Deep Data Generation with Correlated Property Control.
NeurIPS
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
2022 J jnl
Multi-objective Deep Data Generation with Correlated Property Control.
CoRR
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
2022 — conf
RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis.
ACM Great Lakes Symposium on VLSI
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
2022 J jnl
Small molecule generation via disentangled representation learning.
Bioinform.
Yuanqi Du, Xiaojie Guo, Yinkai Wang, Amarda Shehu, Liang Zhao
2021 A* conf
Deep Generative Models for Spatial Networks.
KDD
Xiaojie Guo, Yuanqi Du, Liang Zhao
2021 — conf
Deep Latent-Variable Models for Controllable Molecule Generation.
BIBM
Yuanqi Du, Yinkai Wang, Fardina Fathmiul Alam, Yuanjie Lu, Xiaojie Guo, Liang Zhao, Amarda Shehu
2021 J jnl
Deep graph transformation for attributed, directed, and signed networks.
Knowl. Inf. Syst.
Xiaojie Guo, Liang Zhao, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao
2021 J jnl
Graph Neural Networks for Natural Language Processing: A Survey.
CoRR
Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long
2021 — conf
GraphGT: Machine Learning Datasets for Graph Generation and Transformation.
NeurIPS Datasets and Benchmarks
Yuanqi Du, Shiyu Wang, Xiaojie Guo, Hengning Cao, Shujie Hu, Junji Jiang, Aishwarya Varala, Abhinav Angirekula, Liang Zhao
2021 J jnl
Intelligent Online Selling Point Extraction for E-Commerce Recommendation.
CoRR
Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu
2021 A* conf
Property Controllable Variational Autoencoder via Invertible Mutual Dependence.
ICLR
Xiaojie Guo, Yuanqi Du, Liang Zhao
2021 A* conf
The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21).
KDD
Lingfei Wu, Jiliang Tang, Yinglong Xia, Jian Pei, Xiaojie Guo
2020 J jnl
A Systematic Survey on Deep Generative Models for Graph Generation.
CoRR
Xiaojie Guo, Liang Zhao
2020 J jnl
Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics.
IEEE Access
Sai Manoj Pudukotai Dinakarrao, Xiaojie Guo, Hossein Sayadi, Cameron Nowzari, Avesta Sasan, Setareh Rafatirad, Liang Zhao, Houman Homayoun
2020 J jnl
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution.
CoRR
Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao
2020 J jnl
Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder.
CoRR
Xiaojie Guo, Sivani Tadepalli, Liang Zhao, Amarda Shehu
2020 J jnl
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement.
CoRR
Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye
2020 A* conf
Interpretable Deep Graph Generation with Node-edge Co-disentanglement.
KDD
Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye
2019 A* conf
Deep Multi-attributed Graph Translation with Node-Edge Co-Evolution.
ICDM
Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao
2019 A conf
Multi-stage Deep Classifier Cascades for Open World Recognition.
CIKM
Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng, Liang Zhao
2019 J jnl
Multi-stage Deep Classifier Cascades for Open World Recognition.
CoRR
Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng, Liang Zhao
2018 J jnl
Deep Graph Translation.
CoRR
Xiaojie Guo, Lingfei Wu, Liang Zhao
2018 A* conf
Distant-Supervision of Heterogeneous Multitask Learning for Social Event Forecasting With Multilingual Indicators.
AAAI
Liang Zhao, Junxiang Wang, Xiaojie Guo
2018 — conf
Local Event Forecasting and Synthesis Using Unpaired Deep Graph Translations.
LENS@SIGSPATIAL
Yuyang Gao, Xiaojie Guo, Liang Zhao