A Multi-Semantic Metapath Model for Large Scale Heterogeneous Network Representation Learning. - Xuandong Zhao; Jinbao Xue; Jin Yu; Xi Li; Hongxia Yang (CoRR, 2020)

M6: A Chinese Multimodal Pretrainer. - Junyang Lin; Rui Men; An Yang; Chang Zhou; Ming Ding 004; Yichang Zhang; Peng Wang 028; Ang Wang; Le Jiang; Xianyan Jia; Jie Zhang 078; Jianwei Zhang 012; et al. (CoRR, 2021)

Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent. - Xiaonan Nie; Yi Liu; Fangcheng Fu; Jinbao Xue; Dian Jiao; Xupeng Miao; Yangyu Tao; Bin Cui 001 (Proc. VLDB Endow., 2023)

Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling. - Shuaipeng Li; Penghao Zhao; Hailin Zhang 004; Xingwu Sun; Hao Wu; Dian Jiao; Weiyan Wang; Chengjun Liu; Zheng Fang; Jinbao Xue; Yangyu Tao; Bin Cui 001; et al. (NeurIPS, 2024)

PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling. - Hao Wu 094; Changhu Wang; Fan Xu 009; Jinbao Xue; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (NeurIPS, 2024)

Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding. - Zhimin Li; Jianwei Zhang; Qin Lin; Jiangfeng Xiong; Yanxin Long; Xinchi Deng; Yingfang Zhang; Xingchao Liu; Minbin Huang; Zedong Xiao; Dayou Chen; Jiajun He; et al. (CoRR, 2024)

BeamVQ: Aligning Space-Time Forecasting Model via Self-training on Physics-aware Metrics. - Hao Wu; Xingjian Shi; Ziyue Huang; Penghao Zhao; Wei Xiong; Jinbao Xue; Yangyu Tao; Xiaomeng Huang; Weiyan Wang (CoRR, 2024)

Efficiently Training 7B LLM with 1 Million Sequence Length on 8 GPUs. - Pinxue Zhao; Hailin Zhang 004; Fangcheng Fu; Xiaonan Nie; Qibin Liu; Fang Yang; Yuanbo Peng; Dian Jiao; Shuaipeng Li; Jinbao Xue; Yangyu Tao; Bin Cui 001 (CoRR, 2024)

Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent. - Xingwu Sun; Yanfeng Chen; Yiqing Huang; Ruobing Xie; Jiaqi Zhu 004; Kai Zhang 033; Shuaipeng Li; Zhen Yang; Jonny Han; Xiaobo Shu; Jiahao Bu; Zhongzhi Chen; et al. (CoRR, 2024)

HunyuanVideo: A Systematic Framework For Large Video Generative Models. - Weijie Kong; Qi Tian 001; Zijian Zhang 002; Rox Min; Zuozhuo Dai; Jin Zhou; Jiangfeng Xiong; Xin Li; Bo Wu; Jianwei Zhang; Kathrina Wu; Qin Lin; et al. (CoRR, 2024)

Scaling Laws for Floating Point Quantization Training. - Xingwu Sun; Shuaipeng Li; Ruobing Xie; Weidong Han 006; Kan Wu; Zhen Yang; Yixing Li; An Wang; Shuai Li; Jinbao Xue; Yu Cheng; Yangyu Tao; et al. (CoRR, 2025)

Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation. - Zibo Zhao; Zeqiang Lai; Qingxiang Lin; Yunfei Zhao; Haolin Liu; Shuhui Yang; Yifei Feng; Mingxin Yang; Sheng Zhang; Xianghui Yang; Huiwen Shi; Sicong Liu; et al. (CoRR, 2025)

BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting. - Weiyan Wang; Xingjian Shi; Ruiqi Shu; Yuan Gao; Rui Ray Chen; Kun Wang 042; Fan Xu 009; Jinbao Xue; Shuaipeng Li; Yangyu Tao; Di Wang; Hao Wu 094; et al. (CoRR, 2025)

MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training. - Pinxue Zhao; Hailin Zhang 004; Fangcheng Fu; Xiaonan Nie; Qibin Liu; Fang Yang; Yuanbo Peng; Dian Jiao; Shuaipeng Li; Jinbao Xue; Yangyu Tao; Bin Cui 001 (Proc. ACM Manag. Data, 2025)

Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought. - Ao Liu; Botong Zhou; Can Xu; Chayse Zhou; Chenchen Zhang; Chengcheng Xu; Chenhao Wang; Decheng Wu; Dengpeng Wu; Dian Jiao; Dong Du; Dong Wang; et al. (CoRR, 2025)

HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels. - HunyuanWorld Team; Zhenwei Wang; Yuhao Liu; Junta Wu; Zixiao Gu; Haoyuan Wang; Xuhui Zuo; Tianyu Huang; Wenhuan Li; Sheng Zhang; Yihang Lian; Yulin Tsai; et al. (CoRR, 2025)