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2020 – today
- 2023
[c6]Ziwei Chai, Yang Yang, Jiawang Dan, Sheng Tian, Changhua Meng, Weiqiang Wang, Yifei Sun:
Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network. AAAI 2023: 14153-14160- [c5]Jintang Li
, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan, Changhua Meng, Weiqiang Wang:
GUARD: Graph Universal Adversarial Defense. CIKM 2023: 1198-1207 - [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 - [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) - 2021
- [j1]Jiawang Dan, Zhaowei Qu, Xiaoru Wang, Jiahang Gu:
A Disparity Feature Alignment Module for Stereo Image Super-Resolution. IEEE Signal Process. Lett. 28: 1285-1289 (2021) - [c3]Jiawang Dan, Zhaowei Qu, Xiaoru Wang, Fu Li, Jiahang Gu, Bing Ma:
Scale adaptive and lightweight super-resolution with a selective hierarchical residual network. ICIAI 2021: 8-14 - 2020
- [c2]Jiahang Gu, Zhaowei Qu, Xiaoru Wang, Jiawang Dan, Junwei Sun:
Residual Fractal Network for Single Image Super Resolution by Widening and Deepening. ICPR 2020: 1596-1603
2010 – 2019
- 2019
- [c1]Bing Ma, Xiaoru Wang, Heng Zhang, Fu Li, Jiawang Dan:
CBAM-GAN: Generative Adversarial Networks Based on Convolutional Block Attention Module. ICAIS (1) 2019: 227-236
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