LKDPNet: Large-Kernel Depthwise-Pointwise convolution neural network in estimating coal ash content via data augmentation. - Kanghui Zhang; Weidong Wang; Ziqi Lv; Junda Feng; Huixuan Li; Chenglian Zhang (Appl. Soft Comput., 2023)

ByteScale: Efficient Scaling of LLM Training with a 2048K Context Length on More Than 12,000 GPUs. - Hao Ge; Junda Feng; Qi Huang; Fangcheng Fu; Xiaonan Nie; Lei Zuo; Haibin Lin; Bin Cui 001; Xin Liu (CoRR, 2025)

OVERLORD: Ultimate Scaling of DataLoader for Multi-Source Large Foundation Model Training. - Juntao Zhao; Qi Lu; Wei Jia; Borui Wan; Lei Zuo; Junda Feng; Jianyu Jiang; Yangrui Chen; Shuaishuai Cao; Jialing He; Kaihua Jiang; Yuanzhe Hu; et al. (CoRR, 2025)

Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning. - Jiaze Chen; Tiantian Fan; Xin Liu; Lingjun Liu; Zhiqi Lin; Mingxuan Wang; Chengyi Wang; Xiangpeng Wei; Wenyuan Xu; Yufeng Yuan; Yu Yue; Lin Yan; et al. (CoRR, 2025)

Seed1.5-VL Technical Report. - Dong Guo; Faming Wu; Feida Zhu 005; Fuxing Leng; Guang Shi; Haobin Chen; Haoqi Fan 001; Jian Wang; Jianyu Jiang; Jiawei Wang; Jingji Chen; Jingjia Huang; et al. (CoRR, 2025)