Baokun Wang

According to our database, Baokun Wang authored at least 14 papers between 2018 and 2025.

Collaborative distances:

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

2025

Learning Unified User Quantized Tokenizers for User Representation.

Chuan He, Yang Chen, Wuliang Huang, Tianyi Zheng, Jianhu Chen, Bin Dou, Yice Luo, Yun Zhu, Baokun Wang, Yongchao Liu, Xing Fu, Yu Cheng, Chuntao Hong, Weiqiang Wang, Xin-Wei Yao

CoRR, August, 2025

Transferable and Forecastable User Targeting Foundation Model.

Bin Dou, Baokun Wang, Yun Zhu, Xiaotong Lin, Yike Xu, Xiaorui Huang, Yang Chen, Yun Liu, Shaoshuai Han, Yongchao Liu, Tianyi Zhang, Yu Cheng, Weiqiang Wang, Chuntao Hong

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

2024

GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs.

Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Subgraph Retrieval Enhanced by Graph-Text Alignment for Commonsense Question Answering.

Boci Peng, Yongchao Liu, Xiaohe Bo, Sheng Tian, Baokun Wang, Chuntao Hong, Yan Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks.

Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning.

Jintang Li, Jiawang Dan, Ruofan Wu, Jing Zhou, Sheng Tian, Yunfei Liu, Baokun Wang, Changhua Meng, Weiqiang Wang, Yuchang Zhu, Liang Chen, Zibin Zheng

CoRR, 2023

Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs.

Jintang Li, Zheng Wei, Jiawang Dan, Jing Zhou, Yuchang Zhu, Ruofan Wu, Baokun Wang, Zhang Zhen, Changhua Meng, Hong Jin, Zibin Zheng, Liang Chen

CoRR, 2023

DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk.

Jiafu Wu, Mufeng Yao, Dong Wu, Mingmin Chi, Baokun Wang, Ruofan Wu, Xin Fu, Changhua Meng, Weiqiang Wang

CoRR, 2023

Multi-Aspect Heterogeneous Graph Augmentation.

Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang

Proceedings of the ACM Web Conference 2023, 2023

SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs.

Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen

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

Self-supervision meets kernel graph neural models: From architecture to augmentations.

Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

eRiskCom: an e-commerce risky community detection platform.

Fanzhen Liu, Zhao Li, Baokun Wang, Jia Wu, Jian Yang, Jiaming Huang, Yiqing Zhang, Weiqiang Wang, Shan Xue, Surya Nepal, Quan Z. Sheng

VLDB J., 2022

2018

Image Adaptive Denoising Based on Nonsubsampled Contourlet Transform.

Peng Wu, Baokun Wang

Wirel. Pers. Commun., 2018

Design, Synthesis and Application of A Novel Approximate Adder.

Tian Ban, Baokun Wang, Lirida A. B. Naviner

Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018