Lin Wang

According to our database, Lin Wang authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation.

Shirui Hu, Weichang Wu, Zuoli Tang, Zhaoxin Huan, Lin Wang, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li

ACM Trans. Inf. Syst., July, 2025

2023

GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing.

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

ACM Trans. Archit. Code Optim., September, 2023

DistriBayes: A Distributed Platform for Learning, Inference and Attribution on Large Scale Bayesian Network.

Yi Ding, Jun Zhou, Qing Cui, Lin Wang, Mengqi Zhang, Yang Dong

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Towards Multi-Interest Pre-training with Sparse Capsule Network.

Zuoli Tang, Lin Wang, Lixin Zou, Xiaolu Zhang, Jun Zhou, Chenliang Li

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

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, Jun Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023