DSSLP: A Distributed Framework for Semi-supervised Link Prediction. - Dalong Zhang; Xianzheng Song; Ziqi Liu; Zhiqiang Zhang 012; Xin Huang; Lin Wang 098; Jun Zhou 011 (IEEE BigData, 2019)

AGL: a Scalable System for Industrial-purpose Graph Machine Learning. - Dalong Zhang; Xin Huang; Ziqi Liu; Zhiyang Hu; Xianzheng Song; Zhibang Ge; Zhiqiang Zhang 012; Lin Wang 098; Jun Zhou 011; Shuang Yang; Yuan Qi 001 (CoRR, 2020)

AGL: A Scalable System for Industrial-purpose Graph Machine Learning. - Dalong Zhang; Xin Huang; Ziqi Liu; Jun Zhou 011; Zhiyang Hu; Xianzheng Song; Zhibang Ge; Lin Wang 098; Zhiqiang Zhang 012; Yuan Qi 001 (Proc. VLDB Endow., 2020)

G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems. - Youshao Xiao; Shangchun Zhao; Zhenglei Zhou; Zhaoxin Huan; Lin Ju; Xiaolu Zhang; Lin Wang 098; Jun Zhou 011 (CIKM, 2023)

AntTune: An Efficient Distributed Hyperparameter Optimization System for Large-Scale Data. - Jun Zhou 011; Qitao Shi; Yi Ding 006; Lin Wang 098; Longfei Li; Feng Zhu 011 (DASFAA (4), 2023)

InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. - Dalong Zhang; Xianzheng Song; Zhiyang Hu; Yang Li; Miao Tao; Binbin Hu; Lin Wang 098; Zhiqiang Zhang 012; Jun Zhou 011 (ICDE, 2023)

Towards Multi-Interest Pre-training with Sparse Capsule Network. - Zuoli Tang; Lin Wang 098; Lixin Zou; Xiaolu Zhang; Jun Zhou 011; Chenliang Li (SIGIR, 2023)

DistriBayes: A Distributed Platform for Learning, Inference and Attribution on Large Scale Bayesian Network. - Yi Ding 006; Jun Zhou 011; Qing Cui; Lin Wang 098; Mengqi Zhang; Yang Dong (WSDM, 2023)

ElasticDL: A Kubernetes-native Deep Learning Framework with Fault-tolerance and Elastic Scheduling. - Jun Zhou 011; Ke Zhang; Feng Zhu 011; Qitao Shi; Wenjing Fang; Lin Wang 098; Yi Wang 141 (WSDM, 2023)

SQLFlow: An Extensible Toolkit Integrating DB and AI. - Jun Zhou 011; Ke Zhang; Lin Wang 098; Hua Wu; Yi Wang 141; Chaochao Chen 001 (J. Mach. Learn. Res., 2023)

GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing. - Jin Zhao 003; Yu Zhang 027; Ligang He; Qikun Li; Xiang Zhang; Xinyu Jiang; Hui Yu; Xiaofei Liao; Hai Jin 001; Lin Gu 002; Haikun Liu; Bingsheng He; et al. (ACM Trans. Archit. Code Optim., 2023)

AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes. - Youshao Xiao; Lin Ju; Zhenglei Zhou; Siyuan Li; Zhaoxin Huan; Dalong Zhang; Rujie Jiang; Lin Wang 098; Xiaolu Zhang; Lei Liang 002; Jun Zhou 011 (ICDE, 2024)

AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes. - Youshao Xiao; Lin Ju; Zhenglei Zhou; Siyuan Li; Zhaoxin Huan; Dalong Zhang; Rujie Jiang; Lin Wang 098; Xiaolu Zhang; Lei Liang 001; Jun Zhou 011 (CoRR, 2024)

AntBatchInfer: Elastic Batch Inference in the Kubernetes Cluster. - Siyuan Li; Youshao Xiao; Fanzhuang Meng; Lin Ju; Lei Liang 002; Lin Wang 098; Jun Zhou 011 (CoRR, 2024)

HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation. - Shirui Hu; Weichang Wu; Zuoli Tang; Zhaoxin Huan; Lin Wang 098; Xiaolu Zhang; Jun Zhou 011; Lixin Zou; Chenliang Li (ACM Trans. Inf. Syst., 2025)