Design, Synthesis and Application of A Novel Approximate Adder. - Tian Ban; Baokun Wang; Lirida A. B. Naviner (MWSCAS, 2018)

Image Adaptive Denoising Based on Nonsubsampled Contourlet Transform. - Peng Wu; Baokun Wang (Wirel. Pers. Commun., 2018)

eRiskCom: an e-commerce risky community detection platform. - Fanzhen Liu; Zhao Li 007; Baokun Wang; Jia Wu 001; Jian Yang 001; Jiaming Huang; Yiqing Zhang; Weiqiang Wang; Shan Xue 001; Surya Nepal; Quan Z. Sheng (VLDB J., 2022)

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)

SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs. - Sheng Tian; Jihai Dong; Jintang Li; Wenlong Zhao 013; Xiaolong Xu; Baokun Wang; Bowen Song; Changhua Meng; Tianyi Zhang; Liang Chen 001 (IJCAI, 2023)

Multi-Aspect Heterogeneous Graph Augmentation. - Yuchen Zhou; Yanan Cao 001; Yongchao Liu; Yanmin Shang; Peng Zhang 001; Zheng Lin 001; Yun Yue; Baokun Wang; Xing Fu; Weiqiang Wang 002 (WWW, 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 002 (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 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)

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 001 (ICLR, 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 (ECML/PKDD (6), 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 002 (ECML/PKDD (10), 2024)

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 005; et al. (WWW (Companion Volume), 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 005; et al. (CoRR, 2025)