Xiaojun Ma

According to our database, Xiaojun Ma authored at least 22 papers between 2018 and 2025.

Collaborative distances:

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

2025

No More Manual Guides: Automatic and Scalable Generation of High-Quality Excel Tutorials.

Yuhang Xie, Jian Mu, Xiaojun Ma, Chaoyun Zhang, Lu Wang, Mengyu Zhou, Mugeng Liu, Si Qin, Qingwei Lin, Saravan Rajmohan, Shi Han, Dongmei Zhang

CoRR, September, 2025

SheetDesigner: MLLM-Powered Spreadsheet Layout Generation with Rule-Based and Vision-Based Reflection.

Qin Chen, Yuanyi Ren, Xiaojun Ma, Mugeng Liu, Han Shi, Dongmei Zhang

CoRR, September, 2025

Bingo: Boosting Efficient Reasoning of LLMs via Dynamic and Significance-based Reinforcement Learning.

Hanbing Liu, Lang Cao, Yuanyi Ren, Mengyu Zhou, Haoyu Dong, Xiaojun Ma, Shi Han, Dongmei Zhang

CoRR, June, 2025

SuperRL: Reinforcement Learning with Supervision to Boost Language Model Reasoning.

Yihao Liu, Shuocheng Li, Lang Cao, Yuhang Xie, Mengyu Zhou, Haoyu Dong, Xiaojun Ma, Shi Han, Dongmei Zhang

CoRR, June, 2025

LLM-powered Heterogeneous Information Network Analytics.

Hao Chen, Lun Du, Xu Chen, Xiaojun Ma, Jiang Zhang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Extract Information from Hybrid Long Documents Leveraging LLMs: A Framework and Dataset.

Chongjian Yue, Xinrun Xu, Xiaojun Ma, Lun Du, Zhiming Ding, Shi Han, Dongmei Zhang, Qi Zhang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries.

Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang

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

2023

Learning discrete adaptive receptive fields for graph convolutional networks.

Xiaojun Ma, Ziyao Li, Guojie Song, Chuan Shi

Sci. China Inf. Sci., December, 2023

Leveraging LLMs for KPIs Retrieval from Hybrid Long-Document: A Comprehensive Framework and Dataset.

Chongjian Yue, Xinrun Xu, Xiaojun Ma, Lun Du, Hengyu Liu, Zhiming Ding, Yanbing Jiang, Shi Han, Dongmei Zhang

CoRR, 2023

Rethinking Structural Encodings: Adaptive Graph Transformer for Node Classification Task.

Xiaojun Ma, Qin Chen, Yi Wu, Guojie Song, Liang Wang, Bo Zheng

Proceedings of the ACM Web Conference 2023, 2023

Homophily-oriented Heterogeneous Graph Rewiring.

Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang

Proceedings of the ACM Web Conference 2023, 2023

GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network.

Ran Jia, Haoming Guo, Xiaoyuan Jin, Chao Yan, Lun Du, Xiaojun Ma, Tamara Stankovic, Marko Lozajic, Goran Zoranovic, Igor Ilic, Shi Han, Dongmei Zhang

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

On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering.

Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang

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

Hierarchical Transformer for Scalable Graph Learning.

Wenhao Zhu, Tianyu Wen, Guojie Song, Xiaojun Ma, Liang Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily.

Xiaojun Ma, Qin Chen, Yuanyi Ren, Guojie Song, Liang Wang

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

GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily.

Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang

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

2021

Improving Graph Neural Networks with Structural Adaptive Receptive Fields.

Xiaojun Ma, Junshan Wang, Hanyue Chen, Guojie Song

Proceedings of the WWW '21: The Web Conference 2021, 2021

LEReg: Empower Graph Neural Networks with Local Energy Regularization.

Xiaojun Ma, Hanyue Chen, Guojie Song

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

EPNE: Evolutionary Pattern Preserving Network Embedding.

Junshan Wang, Yilun Jin, Guojie Song, Xiaojun Ma

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Elaborating the Bayesian Priors in Unsupervised Graph Embedding via Graph Concepts.

Xiaojun Ma, Ziyao Li, Siwei Wei, Guojie Song

Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

2019

Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks.

Yun Wang, Lun Du, Guojie Song, Xiaojun Ma, Lichen Jin, Wei Lin, Fei Sun

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Chinese Medical Concept Normalization by Using Text and Comorbidity Network Embedding.

Yizhou Zhang, Xiaojun Ma, Guojie Song

Proceedings of the IEEE International Conference on Data Mining, 2018