Shuo He

According to our database, Shuo He authored at least 13 papers between 2017 and 2024.

Collaborative distances:

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

2024

BDetCLIP: Multimodal Prompting Contrastive Test-Time Backdoor Detection.

Yuwei Niu, Shuo He, Qi Wei, Feng Liu, Lei Feng

CoRR, 2024

Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning.

Shuo He, Chaojie Wang, Guowu Yang, Lei Feng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples.

Shuo He, Lei Feng, Guowu Yang

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

Candidate-aware Selective Disambiguation Based On Normalized Entropy for Instance-dependent Partial-label Learning.

Shuo He, Guowu Yang, Lei Feng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Generalized Unbiased Risk Estimator for Learning with Augmented Classes.

Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Incorporating multiple cluster centers for multi-label learning.

Senlin Shu, Fengmao Lv, Yan Yan, Li Li, Shuo He, Jun He

Inf. Sci., 2022

Partial Label Learning with Semantic Label Representations.

Shuo He, Lei Feng, Fengmao Lv, Wen Li, Guowu Yang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020

Incorporating Multiple Cluster Centers for Multi-Label Learning.

Senlin Shu, Fengmao Lv, Lei Feng, Jun Huang, Shuo He, Jun He, Li Li

CoRR, 2020

2019

Discriminatively Relabel for Partial Multi-label Learning.

Shuo He, Ke Deng, Li Li, Senlin Shu, Li Liu

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Collaboration Based Multi-Label Learning.

Lei Feng, Bo An, Shuo He

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Content tracking by leveraging hashtag and time information in Twitter social media.

Xiaofei Xu, Li Li, Jinjing Zhang, Jing Wang, Shuo He

Web Intell., 2018

Estimating Latent Relative Labeling Importances for Multi-label Learning.

Shuo He, Lei Feng, Li Li

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

IIRank: Co-Ranking Scientific Articles by Characterizing their Innovativeness and Importance.

Fan Li, Zili Zhang, Li Li, Xiaofei Xu, Shuo He

Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing, 2017