Di Liu

According to our database, Di Liu authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

Improved YOLOv7 model for underwater sonar image object detection.

Ken Sinkou Qin, Di Liu, Fei Wang, Jingchun Zhou, Jiaxuan Yang, Weishi Zhang

J. Vis. Commun. Image Represent., 2024

2023

Meta Graph Learning for Long-tail Recommendation.

Chunyu Wei, Jian Liang, Di Liu, Zehui Dai, Mang Li, Fei Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Improving Generalization with Domain Convex Game.

Fangrui Lv, Jian Liang, Shuang Li, Jinming Zhang, Di Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Contrastive Graph Structure Learning via Information Bottleneck for Recommendation.

Chunyu Wei, Jian Liang, Di Liu, Fei Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Causality Inspired Representation Learning for Domain Generalization.

Fangrui Lv, Jian Liang, Shuang Li, Bin Zang, Chi Harold Liu, Ziteng Wang, Di Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dynamic Hypergraph Learning for Collaborative Filtering.

Chunyu Wei, Jian Liang, Bing Bai, Di Liu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Incentive Compatible Pareto Alignment for Multi-Source Large Graphs.

Jian Liang, Fangrui Lv, Di Liu, Zehui Dai, Xu Tian, Shuang Li, Fei Wang, Han Li

CoRR, 2021

Pareto Domain Adaptation.

Fangrui Lv, Jian Liang, Kaixiong Gong, Shuang Li, Chi Harold Liu, Han Li, Di Liu, Guoren Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021