Xingzhang Ren

According to our database, Xingzhang Ren authored at least 13 papers between 2017 and 2024.

Collaborative distances:

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

2024

An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model.

Yuxin Tian, Mouxing Yang, Yunfan Li, Dayiheng Liu, Xingzhang Ren, Xi Peng, Jiancheng Lv

CoRR, 2024

2023

Qwen Technical Report.

Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou, Tianhang Zhu

CoRR, 2023

PolyLM: An Open Source Polyglot Large Language Model.

Xiangpeng Wei, Haoran Wei, Huan Lin, Tianhao Li, Pei Zhang, Xingzhang Ren, Mei Li, Yu Wan, Zhiwei Cao, Binbin Xie, Tianxiang Hu, Shangjie Li, Binyuan Hui, Bowen Yu, Dayiheng Liu, Baosong Yang, Fei Huang, Jun Xie

CoRR, 2023

Dynamic Voting for Efficient Reasoning in Large Language Models.

Mingfeng Xue, Dayiheng Liu, Wenqiang Lei, Xingzhang Ren, Baosong Yang, Jun Xie, Yidan Zhang, Dezhong Peng, Jiancheng Lv

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Effective Approaches to Neural Query Language Identification.

Xingzhang Ren, Baosong Yang, Dayiheng Liu, Haibo Zhang, Xiaoyu Lv, Liang Yao, Jun Xie

Comput. Linguistics, 2022

Unsupervised Preference-Aware Language Identification.

Xingzhang Ren, Baosong Yang, Dayiheng Liu, Haibo Zhang, Xiaoyu Lv, Liang Yao, Jun Xie

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Frequency-Aware Contrastive Learning for Neural Machine Translation.

Tong Zhang, Wei Ye, Baosong Yang, Long Zhang, Xingzhang Ren, Dayiheng Liu, Jinan Sun, Shikun Zhang, Haibo Zhang, Wen Zhao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

TransVae: A Novel Variational Sequence-to-Sequence Framework for Semi-supervised Learning and Diversity Improvement.

Xinyi Wang, Tianxiang Hu, Xingzhang Ren, Jinan Sun, Kai Liu, Minghui Zhang

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Deep Dynamic Boosted Forest.

Haixin Wang, Xingzhang Ren, Jinan Sun, Wei Ye, Long Chen, Muzhi Yu, Shikun Zhang

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2018

A Dynamic Boosted Ensemble Learning Method Based on Random Forest.

Xingzhang Ren, Chen Long, Leilei Zhang, Ye Wei, Dongdong Du, Jingxi Liang, Shikun Zhang, Weiping Li

CoRR, 2018

Refining Traceability Links Between Vulnerability and Software Component in a Vulnerability Knowledge Graph.

Dongdong Du, Xingzhang Ren, Yupeng Wu, Jien Chen, Wei Ye, Jinan Sun, Xiangyu Xi, Qing Gao, Shikun Zhang

Proceedings of the Web Engineering - 18th International Conference, 2018

Attention Enhanced Chinese Word Embeddings.

Xingzhang Ren, Leilei Zhang, Wei Ye, Hang Hua, Shikun Zhang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

A Security Vulnerability Threat Classification Method.

Yuanwei Hou, Xingzhang Ren, Yongle Hao, Tong Mo, Weiping Li

Proceedings of the Advances on Broad-Band Wireless Computing, 2017