Boxin Du

According to our database, Boxin Du authored at least 26 papers between 2017 and 2024.

Collaborative distances:

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

2024

Enhancing Multimodal Large Language Models with Multi-instance Visual Prompt Generator for Visual Representation Enrichment.

Wenliang Zhong, Wenyi Wu, Qi Li, Robert A. Barton, Boxin Du, Shioulin Sam, Karim Bouyarmane, Ismail B. Tutar, Junzhou Huang

CoRR, 2024

Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph.

Lihui Liu, Blaine Hill, Boxin Du, Fei Wang, Hanghang Tong

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Hierarchical Multi-Marginal Optimal Transport for Network Alignment.

Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Conversational Question Answering with Reformulations over Knowledge Graph.

Lihui Liu, Blaine Hill, Boxin Du, Fei Wang, Hanghang Tong

CoRR, 2023

Neural Multi-network Diffusion towards Social Recommendation.

Boxin Du, Lihui Liu, Jiejun Xu, Fei Wang, Hanghang Tong

CoRR, 2023

Geometric Matrix Completion via Sylvester Multi-Graph Neural Network.

Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation.

Boxin Du, Robert A. Barton, Grant Galloway, Junzhou Huang, Shioulin Sam, Ismail B. Tutar, Changhe Yuan

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Knowledge Graph Comparative Reasoning for Fact Checking: Problem Definition and Algorithms.

Lihui Liu, Ruining Zhao, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong

IEEE Data Eng. Bull., 2022

Learning Optimal Propagation for Graph Neural Networks.

Beidi Zhao, Boxin Du, Zhe Xu, Liangyue Li, Hanghang Tong

CoRR, 2022

Graph Sanitation with Application to Node Classification.

Zhe Xu, Boxin Du, Hanghang Tong

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

Joint Knowledge Graph Completion and Question Answering.

Lihui Liu, Boxin Du, Jiejun Xu, Yinglong Xia, Hanghang Tong

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

SuGeR: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation.

Zhenning Zhang, Boxin Du, Hanghang Tong

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Self-supervised Hypergraph Representation Learning.

Boxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Hypergraph Pre-training with Graph Neural Networks.

Boxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong

CoRR, 2021

Neural-Answering Logical Queries on Knowledge Graphs.

Lihui Liu, Boxin Du, Heng Ji, ChengXiang Zhai, Hanghang Tong

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

KompaRe: A Knowledge Graph Comparative Reasoning System.

Lihui Liu, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong

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

New Frontiers of Multi-Network Mining: Recent Developments and Future Trend.

Boxin Du, Si Zhang, Yuchen Yan, Hanghang Tong

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

Sylvester Tensor Equation for Multi-Way Association.

Boxin Du, Lihui Liu, Hanghang Tong

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

2020

KompaRe: A Knowledge Graph Comparative Reasoning System.

Lihui Liu, Boxin Du, Heng Ji, Hanghang Tong

CoRR, 2020

Deep Neural Network-Embedded Internet of Social Computing Things for Sustainability Prediction.

Qiao Li, Ying Song, Boxin Du, Yu Shen, Yuan Tian

IEEE Access, 2020

An Intelligent Management Mechanism for Residential Power Under Software Defined Network.

Wenru Zeng, Boxin Du, Zhiwei Guo, Keping Yu, Xu Gao, Yu Shen

Proceedings of the IEEE Globecom Workshops, 2020

CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities.

Shane Roach, Connie Ni, Alexei Kopylov, Tsai-Ching Lu, Jiejun Xu, Si Zhang, Boxin Du, Dawei Zhou, Jun Wu, Lihui Liu, Yuchen Yan, Jingrui He, Hanghang Tong

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

MrMine: Multi-resolution Multi-network Embedding.

Boxin Du, Hanghang Tong

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

G-Finder: Approximate Attributed Subgraph Matching.

Lihui Liu, Boxin Du, Jiejun Xu, Hanghang Tong

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

FASTEN: Fast Sylvester Equation Solver for Graph Mining.

Boxin Du, Hanghang Tong

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

FIRST: Fast Interactive Attributed Subgraph Matching.

Boxin Du, Si Zhang, Nan Cao, Hanghang Tong

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017