Lin Wang - RankMe

18 papers A* 3A 3Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation. ACM Trans. Inf. Syst. Shirui Hu, Weichang Wu, Zuoli Tang, Zhaoxin Huan, Lin Wang, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li
2024	J	`jnl`	AntBatchInfer: Elastic Batch Inference in the Kubernetes Cluster. CoRR Siyuan Li, Youshao Xiao, Fanzhuang Meng, Lin Ju, Lei Liang, Lin Wang, Jun Zhou
2024	A*	`conf`	AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes. ICDE Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou
2024	J	`jnl`	AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes. CoRR Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou
2024	J	`jnl`	G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems. CoRR Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou
2023	—	`conf`	AntTune: An Efficient Distributed Hyperparameter Optimization System for Large-Scale Data. DASFAA (4) Jun Zhou, Qitao Shi, Yi Ding, Lin Wang, Longfei Li, Feng Zhu
2023	A	`conf`	DistriBayes: A Distributed Platform for Learning, Inference and Attribution on Large Scale Bayesian Network. WSDM Yi Ding, Jun Zhou, Qing Cui, Lin Wang, Mengqi Zhang, Yang Dong
2023	A	`conf`	ElasticDL: A Kubernetes-native Deep Learning Framework with Fault-tolerance and Elastic Scheduling. WSDM Jun Zhou, Ke Zhang, Feng Zhu, Qitao Shi, Wenjing Fang, Lin Wang, Yi Wang
2023	A	`conf`	G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems. CIKM Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou
2023	J	`jnl`	GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing. ACM Trans. Archit. Code Optim. Jin Zhao, Yu Zhang, Ligang He, Qikun Li, Xiang Zhang, Xinyu Jiang, Hui Yu, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu, Bingsheng He, Ji Zhang, Xianzheng Song, Lin Wang, Jun Zhou
2023	A*	`conf`	InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. ICDE Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou
2023	J	`jnl`	InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. CoRR Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou
2023	J	`jnl`	SQLFlow: An Extensible Toolkit Integrating DB and AI. J. Mach. Learn. Res. Jun Zhou, Ke Zhang, Lin Wang, Hua Wu, Yi Wang, Chaochao Chen
2023	A*	`conf`	Towards Multi-Interest Pre-training with Sparse Capsule Network. SIGIR Zuoli Tang, Lin Wang, Lixin Zou, Xiaolu Zhang, Jun Zhou, Chenliang Li
2020	J	`jnl`	AGL: A Scalable System for Industrial-purpose Graph Machine Learning. Proc. VLDB Endow. Dalong Zhang, Xin Huang, Ziqi Liu, Jun Zhou, Zhiyang Hu, Xianzheng Song, Zhibang Ge, Lin Wang, Zhiqiang Zhang, Yuan Qi
2020	J	`jnl`	AGL: a Scalable System for Industrial-purpose Graph Machine Learning. CoRR Dalong Zhang, Xin Huang, Ziqi Liu, Zhiyang Hu, Xianzheng Song, Zhibang Ge, Zhiqiang Zhang, Lin Wang, Jun Zhou, Shuang Yang, Yuan Qi
2020	J	`jnl`	DSSLP: A Distributed Framework for Semi-supervised Link Prediction. CoRR Dalong Zhang, Xianzheng Song, Ziqi Liu, Zhiqiang Zhang, Xin Huang, Lin Wang, Jun Zhou
2019	—	`conf`	DSSLP: A Distributed Framework for Semi-supervised Link Prediction. IEEE BigData Dalong Zhang, Xianzheng Song, Ziqi Liu, Zhiqiang Zhang, Xin Huang, Lin Wang, Jun Zhou