One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction. - Xiang-Rong Sheng; Liqin Zhao; Guorui Zhou; Xinyao Ding; Binding Dai; Qiang Luo; Siran Yang; Jingshan Lv; Chi Zhang; Hongbo Deng; Xiaoqiang Zhu (CIKM, 2021)

One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction. - Xiang-Rong Sheng; Liqin Zhao; Guorui Zhou; Xinyao Ding; Binding Dai; Qiang Luo; Siran Yang; Jingshan Lv; Chi Zhang; Xiaoqiang Zhu (CoRR, 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)

Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao. - Jingyue Gao; Shuguang Han; Han Zhu 001; Siran Yang; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (CIKM, 2023)

Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. - Xiang-Rong Sheng; Jingyue Gao; Yueyao Cheng; Siran Yang; Shuguang Han; Hongbo Deng; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (KDD, 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)

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)

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)

MESCNN: Magnitude estimation system based on convolutional neural networks. - Jian Liao; Siran Yang; Yanwei Wang; Jianming Wang; Dengke Zhao; Zhaoyan Li; Zifa Wang (Softw. Impacts, 2025)

Ebdfes: Post-earthquake building damage and fatality estimation system. - Dengke Zhao; Siran Yang; Jianming Wang; Ji'an Liao; Zhaoyan Li; Zifa Wang (Softw. Impacts, 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)

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)