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Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions


Mar 18, 2023
Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu, Ming Zheng, Tengfei Liu, Tianyi Zhang, Weiqiang Wang

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


Mar 06, 2023
Jiafu Wu, Mufeng Yao, Dong Wu, Mingmin Chi, Baokun Wang, Ruofan Wu, Xin Fu, Changhua Meng, Weiqiang Wang

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GRANDE: a neural model over directed multigraphs with application to anti-money laundering


Feb 04, 2023
Ruofan Wu, Boqun Ma, Hong Jin, Wenlong Zhao, Weiqiang Wang, Tianyi Zhang

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* Accepted as regular paper at ICDM 2022 
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Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems


Oct 10, 2022
Junmin Zhong, Ruofan Wu, Jennie Si

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Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks


Aug 15, 2022
Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng

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* Preprint; Code available at https://github.com/EdisonLeeeee/SpikeNet 
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sqSGD: Locally Private and Communication Efficient Federated Learning


Jun 22, 2022
Yan Feng, Tao Xiong, Ruofan Wu, LingJuan Lv, Leilei Shi

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MaskGAE: Masked Graph Modeling Meets Graph Autoencoders


May 20, 2022
Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang

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* Preprint. Code available at https://github.com/EdisonLeeeee/MaskGAE 
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GUARD: Graph Universal Adversarial Defense


Apr 20, 2022
Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Changhua Meng, Zibin Zheng, Weiqiang Wang

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* Code is publicly available at https://github.com/EdisonLeeeee/GUARD 
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SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing


Jul 03, 2021
Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi

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* 18 pages, 4 figures 
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Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-critic Reinforcement Learning


Jan 22, 2021
Ruofan Wu, Zhikai Yao, Jennie Si, He, Huang

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