Distant-Supervision of Heterogeneous Multitask Learning for Social Event Forecasting With Multilingual Indicators. - Liang Zhao 002; Junxiang Wang; Xiaojie Guo 002 (AAAI, 2018)

Local Event Forecasting and Synthesis Using Unpaired Deep Graph Translations. - Yuyang Gao; Xiaojie Guo 002; Liang Zhao 002 (LENS@SIGSPATIAL, 2018)

Multi-stage Deep Classifier Cascades for Open World Recognition. - Xiaojie Guo 002; Amir Alipour-Fanid; Lingfei Wu 001; Hemant Purohit; Xiang Chen 010; Kai Zeng 001; Liang Zhao 002 (CIKM, 2019)

Deep Multi-attributed Graph Translation with Node-Edge Co-Evolution. - Xiaojie Guo 002; Liang Zhao 002; Cameron Nowzari; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (ICDM, 2019)

Interpretable Deep Graph Generation with Node-edge Co-disentanglement. - Xiaojie Guo 002; Liang Zhao 002; Zhao Qin; Lingfei Wu 001; Amarda Shehu; Yanfang Ye 001 (KDD, 2020)

Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics. - Sai Manoj Pudukotai Dinakarrao; Xiaojie Guo 002; Hossein Sayadi; Cameron Nowzari; Avesta Sasan; Setareh Rafatirad; Liang Zhao 002; Houman Homayoun (IEEE Access, 2020)

Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder. - Xiaojie Guo 002; Sivani Tadepalli; Liang Zhao 002; Amarda Shehu (CoRR, 2020)

Deep Latent-Variable Models for Controllable Molecule Generation. - Yuanqi Du; Yinkai Wang; Fardina Fathmiul Alam; Yuanjie Lu; Xiaojie Guo 002; Liang Zhao 002; Amarda Shehu (BIBM, 2021)

Property Controllable Variational Autoencoder via Invertible Mutual Dependence. - Xiaojie Guo 002; Yuanqi Du; Liang Zhao 002 (ICLR, 2021)

Deep Generative Models for Spatial Networks. - Xiaojie Guo 002; Yuanqi Du; Liang Zhao 002 (KDD, 2021)

The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21). - Lingfei Wu 001; Jiliang Tang; Yinglong Xia; Jian Pei 001; Xiaojie Guo 002 (KDD, 2021)

GraphGT: Machine Learning Datasets for Graph Generation and Transformation. - Yuanqi Du; Shiyu Wang 002; Xiaojie Guo 002; Hengning Cao; Shujie Hu; Junji Jiang; Aishwarya Varala; Abhinav Angirekula; Liang Zhao 002 (NeurIPS Datasets and Benchmarks, 2021)

Intelligent Online Selling Point Extraction for E-Commerce Recommendation. - Xiaojie Guo 002; Shugen Wang; Hanqing Zhao; Shiliang Diao; Jiajia Chen; Zhuoye Ding; Zhen He; Yun Xiao; Bo Long; Han Yu 001; Lingfei Wu 001 (CoRR, 2021)

Deep graph transformation for attributed, directed, and signed networks. - Xiaojie Guo 002; Liang Zhao 002; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (Knowl. Inf. Syst., 2021)

Dataset for Disentangled Representation Learning for Interpretable Molecule Generation. - Yuanqi Du; Xiaojie Guo 002; Amarda Shehu; Liang Zhao 002 (IEEE DataPort, 2021)

Intelligent Online Selling Point Extraction for E-commerce Recommendation. - Xiaojie Guo 002; Shugen Wang; Hanqing Zhao; Shiliang Diao; Jiajia Chen; Zhuoye Ding; Zhen He; Jianchao Lu; Yun Xiao; Bo Long; Han Yu 001; Lingfei Wu 001 (AAAI, 2022)

Disentangled Spatiotemporal Graph Generative Models. - Yuanqi Du; Xiaojie Guo 002; Hengning Cao; Yanfang Ye 001; Liang Zhao 002 (AAAI, 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 002; Sai Manoj P. D.; Houman Homayoun; Ioannis Savidis; Liang Zhao 002; Avesta Sasan (ACM Great Lakes Symposium on VLSI, 2022)

Automatic Controllable Product Copywriting for E-Commerce. - Xiaojie Guo 002; Qingkai Zeng 001; Meng Jiang 001; Yun Xiao; Bo Long; Lingfei Wu 001 (KDD, 2022)

Deep Learning on Graphs: Methods and Applications (DLG-KDD2022). - Lingfei Wu 001; Jian Pei 001; Jiliang Tang; Yinglong Xia; Xiaojie Guo 002 (KDD, 2022)

Deep Generative Model for Periodic Graphs. - Shiyu Wang 002; Xiaojie Guo 002; Liang Zhao 002 (NeurIPS, 2022)

Multi-objective Deep Data Generation with Correlated Property Control. - Shiyu Wang 002; Xiaojie Guo 002; Xuanyang Lin; Bo Pan; Yuanqi Du; Yinkai Wang; Yanfang Ye 001; Ashley Ann Petersen; Austin Leitgeb; Saleh AlKhalifa; Kevin Minbiole; William M. Wuest; et al. (NeurIPS, 2022)

Interpretable Molecular Graph Generation via Monotonic Constraints. - Yuanqi Du; Xiaojie Guo 002; Amarda Shehu; Liang Zhao 002 (SDM, 2022)

Compact Graph Structure Learning via Mutual Information Compression. - Nian Liu; Xiao Wang 017; Lingfei Wu 001; Yu Chen 022; Xiaojie Guo 002; Chuan Shi 001 (WWW, 2022)

Small molecule generation via disentangled representation learning. - Yuanqi Du; Xiaojie Guo 002; Yinkai Wang; Amarda Shehu; Liang Zhao 002 (Bioinform., 2022)

Controllable Data Generation by Deep Learning: A Review. - Shiyu Wang 002; Yuanqi Du; Xiaojie Guo 002; Bo Pan; Liang Zhao 002 (CoRR, 2022)

Graph Neural Networks: Foundation, Frontiers and Applications. - Lingfei Wu 001; Peng Cui 001; Jian Pei 001; Liang Zhao 002; Xiaojie Guo 002 (KDD, 2023)

Deep Learning on Graphs: Methods and Applications (DLG-KDD2023). - Lingfei Wu 001; Jian Pei 001; Jiliang Tang; Yinglong Xia; Xiaojie Guo 002 (KDD, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

Pruning Before Training May Improve Generalization, Provably. - Hongru Yang; Yingbin Liang; Xiaojie Guo 002; Lingfei Wu 001; Zhangyang Wang (CoRR, 2023)

Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation. - Gangyi Zhang; Chongming Gao; Wenqiang Lei; Xiaojie Guo 002; Shijun Li 002; Lingfei Wu 001; Hongshen Chen; Zhuozhi Ding; Sulong Xu; Xiangnan He 001 (CoRR, 2023)

Graph Neural Networks for Natural Language Processing: A Survey. - Lingfei Wu 001; Yu Chen 022; Kai Shen; Xiaojie Guo 002; Hanning Gao; Shucheng Li; Jian Pei 001; Bo Long (Found. Trends Mach. Learn., 2023)

Intelligent online selling point extraction and generation for e-commerce recommendation. - Xiaojie Guo 002; Shugen Wang; Hanqing Zhao; Shiliang Diao; Jiajia Chen; Zhuoye Ding; Zhen He; Jianchao Lu; Yun Xiao; Bo Long; Han Yu 001; Lingfei Wu 001 (AI Mag., 2023)

A Systematic Survey on Deep Generative Models for Graph Generation. - Xiaojie Guo 002; Liang Zhao 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Deep Graph Translation. - Xiaojie Guo 002; Lingfei Wu 001; Liang Zhao 002 (IEEE Trans. Neural Networks Learn. Syst., 2023)

UnifiedGT: Towards a Universal Framework of Transformers in Large-Scale Graph Learning. - Junhong Lin; Xiaojie Guo 002; Shuaicheng Zhang; Dawei Zhou 003; Yada Zhu; Julian Shun (IEEE Big Data, 2024)

FraudGT: A Simple, Effective, and Efficient Graph Transformer for Financial Fraud Detection. - Junhong Lin; Xiaojie Guo 002; Yada Zhu; Samuel Mitchell; Erik Altman; Julian Shun (ICAIF, 2024)

When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods. - Junhong Lin; Xiaojie Guo 002; Shuaicheng Zhang; Dawei Zhou 003; Yada Zhu; Julian Shun (CoRR, 2024)

Functional Connectivity Prediction With Deep Learning for Graph Transformation. - Negar Etemadyrad; Yuyang Gao; Qingzhe Li; Xiaojie Guo 002; Frank Krueger; Qixiang Lin; Deqiang Qiu; Liang Zhao 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Controllable Data Generation by Deep Learning: A Review. - Shiyu Wang 002; Yuanqi Du; Xiaojie Guo 002; Bo Pan; Zhaohui S. Qin; Liang Zhao 002 (ACM Comput. Surv., 2024)

Reasoning of Large Language Models over Knowledge Graphs with Super-Relations. - Song Wang 013; Junhong Lin; Xiaojie Guo 002; Julian Shun; Jundong Li; Yada Zhu (ICLR, 2025)

Vague Preference Policy Learning for Conversational Recommendation. - Gangyi Zhang; Chongming Gao; Wenqiang Lei; Xiaojie Guo 002; Shijun Li 002; Hongshen Chen; Zhuozhi Ding; Sulong Xu; Lingfei Wu 001 (ACM Trans. Inf. Syst., 2025)