CBAM-GAN: Generative Adversarial Networks Based on Convolutional Block Attention Module. - Bing Ma; Xiaoru Wang; Heng Zhang; Fu Li 004; Jiawang Dan (ICAIS (1), 2019)

Residual Fractal Network for Single Image Super Resolution by Widening and Deepening. - Jiahang Gu; Zhaowei Qu; Xiaoru Wang; Jiawang Dan; Junwei Sun (ICPR, 2020)

Scale adaptive and lightweight super-resolution with a selective hierarchical residual network. - Jiawang Dan; Zhaowei Qu; Xiaoru Wang; Fu Li 004; Jiahang Gu; Bing Ma (ICIAI, 2021)

A Disparity Feature Alignment Module for Stereo Image Super-Resolution. - Jiawang Dan; Zhaowei Qu; Xiaoru Wang; Jiahang Gu (IEEE Signal Process. Lett., 2021)

Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network. - Ziwei Chai; Yang Yang 009; Jiawang Dan; Sheng Tian; Changhua Meng; Weiqiang Wang 002; Yifei Sun 002 (AAAI, 2023)

GUARD: Graph Universal Adversarial Defense. - Jintang Li; Jie Liao; Ruofan Wu; Liang Chen 001; Zibin Zheng; Jiawang Dan; Changhua Meng; Weiqiang Wang 002 (CIKM, 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 002; Weiqiang Wang 002 (ICDM (Workshops), 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 001 (CoRR, 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 002; Yuchang Zhu; Liang Chen 001; Zibin Zheng (CoRR, 2023)