Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training. - Chenyi Lei; Shixian Luo; Yong Liu 020; Wanggui He; Jiamang Wang; Guoxin Wang 002; Haihong Tang; Chunyan Miao; Houqiang Li (ACM Multimedia, 2021)

Exploring Sparse Expert Models and Beyond. - An Yang; Junyang Lin; Rui Men; Chang Zhou; Le Jiang; Xianyan Jia; Ang Wang; Jie Zhang 078; Jiamang Wang; Yong Li 020; Di Zhang; Wei Lin 016; et al. (CoRR, 2021)

Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters. - Yingda Chen; Jiamang Wang; Yifeng Lu; Ying Han; Zhiqiang Lv; Xuebin Min; Hua Cai; Wei Zhang 012; Haochuan Fan; Chao Li 009; Tao Guan; Wei Lin 016; et al. (Proc. VLDB Endow., 2021)

PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems. - Yuanxing Zhang; Langshi Chen; Siran Yang; Man Yuan; Huimin Yi; Jie Zhang 078; Jiamang Wang; Jianbo Dong; Yunlong Xu; Yue Song; Yong Li 020; Di Zhang; et al. (ICDE, 2022)

Ada-Grouper: Accelerating Pipeline Parallelism in Preempted Network by Adaptive Group-Scheduling for Micro-Batches. - Siyu Wang; Zongyan Cao; Chang Si; Lansong Diao; Jiamang Wang; Wei Lin 016 (CoRR, 2023)

FaPES: Enabling Efficient Elastic Scaling for Serverless Machine Learning Platforms. - Xiaoyang Zhao 005; Siran Yang; Jiamang Wang; Lansong Diao; Lin Qu; Chuan Wu 001 (SoCC, 2024)

DDK: Distilling Domain Knowledge for Efficient Large Language Models. - Jiaheng Liu; Chenchen Zhang; Jinyang Guo; Yuanxing Zhang; Haoran Que; Ken Deng; Zhiqi Bai; Jie Liu 047; Ge Zhang 009; Jiakai Wang; Yanan Wu; Congnan Liu; et al. (NeurIPS, 2024)

D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models. - Haoran Que; Jiaheng Liu; Ge Zhang 009; Chenchen Zhang; Xingwei Qu; Yinghao Ma; Feiyu Duan; Zhiqi Bai; Jiakai Wang; Yuanxing Zhang; Xu Tan 003; Jie Fu 001; et al. (NeurIPS, 2024)

Boosting Large-scale Parallel Training Efficiency with C4: A Communication-Driven Approach. - Jianbo Dong; Bin Luo; Jun Zhang; Pengcheng Zhang; Fei Feng; Yikai Zhu; Ang Liu; Zian Chen; Yi Shi; Hairong Jiao; Gang Lu; Yu Guan; et al. (CoRR, 2024)

FALCON: Pinpointing and Mitigating Stragglers for Large-Scale Hybrid-Parallel Training. - Tianyuan Wu; Wei Wang; Yinghao Yu; Siran Yang; Wenchao Wu; Qinkai Duan; Guodong Yang; Jiamang Wang; Lin Qu; Liping Zhang (CoRR, 2024)

Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment. - Yanshi Li; Shaopan Xiong; Gengru Chen; Xiaoyang Li; Yijia Luo; Xingyao Zhang; Yanhui Huang; Xingyuan Bu; Yingshui Tan; Chun Yuan; Jiamang Wang; Wenbo Su; et al. (CoRR, 2024)

Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization. - Jianbo Dong; Bin Luo; Jun Zhang; Pengcheng Zhang; Fei Feng; Yikai Zhu; Ang Liu; Zian Chen; Yi Shi; Hairong Jiao; Gang Lu; Yu Guan; et al. (HPCA, 2025)

GREYHOUND: Hunting Fail-Slows in Hybrid-Parallel Training at Scale. - Tianyuan Wu; Wei Wang 030; Yinghao Yu; Siran Yang; Wenchao Wu; Qinkai Duan; Guodong Yang; Jiamang Wang; Lin Qu; Liping Zhang (USENIX ATC, 2025)

CombatVLA: An Efficient Vision-Language-Action Model for Combat Tasks in 3D Action Role-Playing Games. - Peng Chen; Pi Bu; Yingyao Wang; Xinyi Wang; Ziming Wang; Jie Guo; Yingxiu Zhao; Qi Zhu; Jun Song; Siran Yang; Jiamang Wang; Bo Zheng 007 (CoRR, 2025)

Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation. - Tianyuan Wu; Lunxi Cao; Hanfeng Lu; Xiaoxiao Jiang; Yinghao Yu; Siran Yang; Guodong Yang; Jiamang Wang; Lin Qu; Liping Zhang; Wei Wang 030 (CoRR, 2025)

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library. - Weixun Wang; Shaopan Xiong; Gengru Chen; Wei Gao; Sheng Guo 005; Yancheng He; Ju Huang; Jiaheng Liu; Zhendong Li; Xiaoyang Li; Zichen Liu; Haizhou Zhao; et al. (CoRR, 2025)

RecGPT Technical Report. - Chao Yi; Dian Chen; Gaoyang Guo; Jiakai Tang; Jian Wu; Jing Yu; Mao Zhang; Sunhao Dai; Wen Chen; Wenjun Yang; Yuning Jiang 001; Zhujin Gao; et al. (CoRR, 2025)

Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning. - Zihe Liu; Jiashun Liu; Yancheng He; Weixun Wang; Jiaheng Liu; Ling Pan; Xinyu Hu; Shaopan Xiong; Ju Huang; Jian Hu; Shengyi Huang; Siran Yang; et al. (CoRR, 2025)

Ovis2.5 Technical Report. - Shiyin Lu; Yang Li; Yu Xia; Yuwei Hu; Shanshan Zhao; Yanqing Ma; Zhichao Wei; Yinglun Li; Lunhao Duan; Jianshan Zhao; Yuxuan Han; Haijun Li; et al. (CoRR, 2025)