Zeqian Li

Orcid: 0009-0009-6971-1963

According to our database1, Zeqian Li authored at least 17 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Compositional clustering: Applications to multi-label object recognition and speaker identification.
Pattern Recognit., December, 2023

Statistical prediction of microbial metabolic traits from genomes.
PLoS Comput. Biol., December, 2023

Protein Complex Identification Based on Heterogeneous Protein Information Network.
J. Comput. Biol., September, 2023

A Strong Baseline for Temporal Video-Text Alignment.
CoRR, 2023

Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Models.
CoRR, 2023

Multi-modal Prompting for Low-Shot Temporal Action Localization.
CoRR, 2023

Multi-Perspective Semantic Enhanced Model for Heterogeneous Graph Embedding with Contrastive Learning.
Proceedings of the International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2023

Multi-Scale Contrastive Learning Based Heterogeneous Graph Embedding.
Proceedings of the 2023 4th International Conference on Computing, 2023

2022
WEKA-Based: Key Features and Classifier for French of Five Countries.
CoRR, 2022

Channel Pruned YOLOv5-based Deep Learning Approach for Rapid and Accurate Outdoor Obstacles Detection.
CoRR, 2022

Silencing BAG3 Inhibits Tumor Cell Proliferation by reducing the Activation of ERK in TNBC.
Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences, 2022

Can the Mathematical Correctness of Object Configurations Affect the Accuracy of Their Perception?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Compositional Affinity Propagation: When Clusters Have Compositional Structure.
CoRR, 2021

Compositional Embeddings for Multi-Label One-Shot Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Compositional Embedding Models for Speaker Identification and Diarization with Simultaneous Speech From 2+ Speakers.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
How Does Label Noise Affect the Quality of Speaker Embeddings?
Proceedings of the Interspeech 2020, 2020

Toward Better Speaker Embeddings: Automated Collection of Speech Samples From Unknown Distinct Speakers.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020


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