Latent Dirichlet allocation based generative adversarial networks. - Lili Pan 001; Shen Cheng; Jian Liu; Peijun Tang; Bowen Wang; Yazhou Ren 001; Zenglin Xu (Neural Networks, 2020)

Contrastive Disentanglement in Generative Adversarial Networks. - Lili Pan 001; Peijun Tang; Zhiyong Chen; Zenglin Xu (CoRR, 2021)

Unsupervised domain adaptation via coarse-to-fine feature alignment method using contrastive learning. - Shiyu Tang; Peijun Tang; Yanxiang Gong; Zheng Ma 005; Mei Xie (CoRR, 2021)

AcademicGPT: Empowering Academic Research. - Shufa Wei; Xiaolong Xu 002; Xianbiao Qi; Xi Yin 010; Jun Xia; Jingyi Ren; Peijun Tang; Yuxiang Zhong; Yihao Chen; Xiaoqin Ren; Yuxin Liang; Liankai Huang; et al. (CoRR, 2023)

Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection. - Tianhe Ren; Qing Jiang; Shilong Liu; Zhaoyang Zeng; Wenlong Liu; Han Gao; Hongjie Huang; Zhengyu Ma; Xiaoke Jiang; Yihao Chen; Yuda Xiong; Hao Zhang 097; et al. (CoRR, 2024)

Ultra-FineWeb: Efficient Data Filtering and Verification for High-Quality LLM Training Data. - Yudong Wang; Zixuan Fu; Jie Cai; Peijun Tang; Hongya Lyu; Yewei Fang; Zhi Zheng; Jie Zhou 016; Guoyang Zeng; Chaojun Xiao; Xu Han 007; Zhiyuan Liu 001 (CoRR, 2025)

MiniCPM4: Ultra-Efficient LLMs on End Devices. - Chaojun Xiao; Yuxuan Li; Xu Han 007; Yuzhuo Bai; Jie Cai; Haotian Chen; Wentong Chen; Xin Cong; Ganqu Cui; Ning Ding 002; Shengda Fan; Yewei Fang; et al. (CoRR, 2025)