Ruize Gao

According to our database, Ruize Gao authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Using data-driven methods to detect financial statement fraud in the real scenario.

Ying Zhou, Zhi Xiao, Ruize Gao, Chang Wang

Int. J. Account. Inf. Syst., 2024

Qwen2 Technical Report.

An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, Guanting Dong, Haoran Wei, Huan Lin, Jialong Tang, Jialin Wang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Ma, Jianxin Yang, Jin Xu, Jingren Zhou, Jinze Bai, Jinzheng He, Junyang Lin, Kai Dang, Keming Lu, Keqin Chen, Kexin Yang, Mei Li, Mingfeng Xue, Na Ni, Pei Zhang, Peng Wang, Ru Peng, Rui Men, Ruize Gao, Runji Lin, Shijie Wang, Shuai Bai, Sinan Tan, Tianhang Zhu, Tianhao Li, Tianyu Liu, Wenbin Ge, Xiaodong Deng, Xiaohuan Zhou, Xingzhang Ren, Xinyu Zhang, Xipin Wei, Xuancheng Ren, Xuejing Liu, Yang Fan, Yang Yao, Yichang Zhang, Yu Wan, Yunfei Chu, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, Zhifang Guo, Zhihao Fan

CoRR, 2024

Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation.

Keke Huang, Ruize Gao, Bogdan Cautis, Xiaokui Xiao

Proceedings of the ACM on Web Conference 2024, 2024

2023

Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer.

Ruize Gao, Zhirui Zhang, Yichao Du, Lemao Liu, Rui Wang

CoRR, 2023

IMTLab: An Open-Source Platform for Building, Evaluating, and Diagnosing Interactive Machine Translation Systems.

Xu Huang, Zhirui Zhang, Ruize Gao, Yichao Du, Lemao Liu, Guoping Huang, Shuming Shi, Jiajun Chen, Shujian Huang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer.

Ruize Gao, Zhirui Zhang, Yichao Du, Lemao Liu, Rui Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem.

Jingwen Li, Yining Ma, Ruize Gao, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang

IEEE Trans. Cybern., 2022

<i>K</i>-nearest neighbors rule combining prototype selection and local feature weighting for classification.

Xin Zhang, Hongshan Xiao, Ruize Gao, Hongwu Zhang, Yu Wang

Knowl. Based Syst., 2022

Integrating the sentiments of multiple news providers for stock market index movement prediction: A deep learning approach based on evidential reasoning rule.

Ruize Gao, Shaoze Cui, Hongshan Xiao, Weiguo Fan, Hongwu Zhang, Yu Wang

Inf. Sci., 2022

Forecasting the overnight return direction of stock market index combining global market indices: A multiple-branch deep learning approach.

Ruize Gao, Xin Zhang, Hongwu Zhang, Quanwu Zhao, Yu Wang

Expert Syst. Appl., 2022

Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack.

Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng

Proceedings of the International Conference on Machine Learning, 2022

2021

Local Reweighting for Adversarial Training.

Ruize Gao, Feng Liu, Kaiwen Zhou, Gang Niu, Bo Han, James Cheng

CoRR, 2021

Maximum Mean Discrepancy Test is Aware of Adversarial Attacks.

Ruize Gao, Feng Liu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Masashi Sugiyama

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Maximum Mean Discrepancy is Aware of Adversarial Attacks.

Ruize Gao, Feng Liu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Masashi Sugiyama

CoRR, 2020

2016

Optimization in e-commerce market network based on value order parameter.

Zhihong Tian, Zhenji Zhang, Ruize Gao

Inf. Technol. Manag., 2016