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2020 – today
- 2024
[c7]Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen:
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. ICLR 2024- [c6]Boci Peng, Yongchao Liu, Xiaohe Bo, Sheng Tian, Baokun Wang, Chuntao Hong, Yan Zhang:
Subgraph Retrieval Enhanced by Graph-Text Alignment for Commonsense Question Answering. ECML/PKDD (6) 2024: 39-56 - [c5]Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang:
GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs. ECML/PKDD (10) 2024: 133-149 - 2023
- [c4]Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang:
Self-supervision meets kernel graph neural models: From architecture to augmentations. ICDM (Workshops) 2023: 1076-1083 - [c3]Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen:
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs. IJCAI 2023: 2306-2314 - [c2]Yuchen Zhou
, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang:
Multi-Aspect Heterogeneous Graph Augmentation. WWW 2023: 39-48 - [i6]Jiafu Wu, Mufeng Yao, Dong Wu, Mingmin Chi, Baokun Wang, Ruofan Wu, Xin Fu, Changhua Meng, Weiqiang Wang:
DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk. CoRR abs/2303.03933 (2023) - [i5]Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen:
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs. CoRR abs/2305.13573 (2023) - [i4]Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Liang Chen, Zibin Zheng, Baokun Wang, Changhua Meng:
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. CoRR abs/2305.19306 (2023) - [i3]Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang:
Self-supervision meets kernel graph neural models: From architecture to augmentations. CoRR abs/2310.11281 (2023) - [i2]Jintang Li, Zheng Wei, Jiawang Dan, Jing Zhou, Yuchang Zhu, Ruofan Wu, Baokun Wang, Zhang Zhen, Changhua Meng, Hong Jin, Zibin Zheng, Liang Chen:
Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs. CoRR abs/2310.11664 (2023) - [i1]Jintang Li, Jiawang Dan, Ruofan Wu, Jing Zhou, Sheng Tian, Yunfei Liu, Baokun Wang, Changhua Meng, Weiqiang Wang, Yuchang Zhu, Liang Chen, Zibin Zheng:
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning. CoRR abs/2311.16605 (2023) - 2022
- [j2]Fanzhen Liu, Zhao Li, Baokun Wang, Jia Wu, Jian Yang, Jiaming Huang, Yiqing Zhang, Weiqiang Wang, Shan Xue, Surya Nepal, Quan Z. Sheng:
eRiskCom: an e-commerce risky community detection platform. VLDB J. 31(5): 1085-1101 (2022)
2010 – 2019
- 2018
- [j1]Peng Wu, Baokun Wang:
Image Adaptive Denoising Based on Nonsubsampled Contourlet Transform. Wirel. Pers. Commun. 103(1): 761-772 (2018) - [c1]Tian Ban, Baokun Wang, Lirida A. B. Naviner:
Design, Synthesis and Application of A Novel Approximate Adder. MWSCAS 2018: 488-491
Coauthor Index
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