A Security Vulnerability Threat Classification Method. - Yuanwei Hou; Xingzhang Ren; Yongle Hao; Tong Mo; Weiping Li (BWCCA, 2017)

Attention Enhanced Chinese Word Embeddings. - Xingzhang Ren; Leilei Zhang; Wei Ye 004; Hang Hua; Shikun Zhang (ICANN (1), 2018)

Refining Traceability Links Between Vulnerability and Software Component in a Vulnerability Knowledge Graph. - Dongdong Du; Xingzhang Ren; Yupeng Wu; Jien Chen; Wei Ye 004; Jinan Sun; Xiangyu Xi; Qing Gao; Shikun Zhang (ICWE, 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)

Deep Dynamic Boosted Forest. - Haixin Wang 003; Xingzhang Ren; Jinan Sun; Wei Ye 004; Long Chen; Muzhi Yu; Shikun Zhang (ACML, 2020)

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 028; Minghui Zhang (IJCNN, 2021)

Frequency-Aware Contrastive Learning for Neural Machine Translation. - Tong Zhang 001; Wei Ye 004; Baosong Yang; Long Zhang; Xingzhang Ren; Dayiheng Liu; Jinan Sun; Shikun Zhang; Haibo Zhang 013; Wen Zhao (AAAI, 2022)

Unsupervised Preference-Aware Language Identification. - Xingzhang Ren; Baosong Yang; Dayiheng Liu; Haibo Zhang 013; Xiaoyu Lv; Liang Yao; Jun Xie (ACL (Findings), 2022)

Effective Approaches to Neural Query Language Identification. - Xingzhang Ren; Baosong Yang; Dayiheng Liu; Haibo Zhang 013; Xiaoyu Lv; Liang Yao; Jun Xie (Comput. Linguistics, 2022)

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 001 (EMNLP (Findings), 2023)

PolyLM: An Open Source Polyglot Large Language Model. - Xiangpeng Wei; Haoran Wei; Huan Lin; Tianhao Li; Pei Zhang 011; Xingzhang Ren; Mei Li; Yu Wan 004; Zhiwei Cao; Binbin Xie; Tianxiang Hu; Shangjie Li; et al. (CoRR, 2023)

Qwen Technical Report. - Jinze Bai; Shuai Bai; Yunfei Chu; Zeyu Cui; Kai Dang; Xiaodong Deng; Yang Fan; Wenbin Ge; Yu Han; Fei Huang 005; Binyuan Hui; Luo Ji; et al. (CoRR, 2023)

An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model. - Yuxin Tian; Mouxing Yang; Yunfan Li 003; Dayiheng Liu; Xingzhang Ren; Xi Peng 001; Jiancheng Lv 001 (ICME, 2024)

Qwen2 Technical Report. - An Yang; Baosong Yang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chang Zhou; Chengpeng Li 001; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Guanting Dong; Haoran Wei; et al. (CoRR, 2024)

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement. - An Yang; Beichen Zhang; Binyuan Hui; Bofei Gao; Bowen Yu 002; Chengpeng Li 001; Dayiheng Liu; Jianhong Tu; Jingren Zhou 001; Junyang Lin; Keming Lu; Mingfeng Xue; et al. (CoRR, 2024)

Qwen2.5-Coder Technical Report. - Binyuan Hui; Jian Yang 003; Zeyu Cui; Jiaxi Yang; Dayiheng Liu; Lei Zhang 201; Tianyu Liu 001; Jiajun Zhang; Bowen Yu 002; Kai Dang; An Yang; Rui Men; et al. (CoRR, 2024)

Qwen2.5 Technical Report. - An Yang; Baosong Yang; Beichen Zhang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Haoran Wei; Huan Lin; Jian Yang 003; et al. (CoRR, 2024)

Qwen2.5-1M Technical Report. - An Yang; Bowen Yu 002; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Haoyan Huang; Jiandong Jiang; Jianhong Tu; Jianwei Zhang 012; Jingren Zhou 001; Junyang Lin; Kai Dang; et al. (CoRR, 2025)

Qwen3 Technical Report. - An Yang; Anfeng Li; Baosong Yang; Beichen Zhang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chang Gao; Chengen Huang; Chenxu Lv; Chujie Zheng; Dayiheng Liu; et al. (CoRR, 2025)

WorldPM: Scaling Human Preference Modeling. - Binghai Wang; Runji Lin; Keming Lu; Le Yu; Zhenru Zhang; Fei Huang 005; Chujie Zheng; Kai Dang; Yang Fan; Xingzhang Ren; An Yang; Binyuan Hui; et al. (CoRR, 2025)

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs. - Yufa Zhou; Shaobo Wang; Xingyu Dong; Xiangqi Jin; Yifang Chen; Yue Min; Kexin Yang; Xingzhang Ren; Dayiheng Liu; Linfeng Zhang (CoRR, 2025)

RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs. - Baolong Bi; Shenghua Liu; Xingzhang Ren; Dayiheng Liu; Junyang Lin; Yiwei Wang 001; Lingrui Mei; Junfeng Fang; Jiafeng Guo; Xueqi Cheng (CoRR, 2025)