Zeqian Li

According to our database, Zeqian Li authored at least 20 papers between 2020 and 2024.

Collaborative distances:

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

2024

Temporal Protein Complex Identification Based on Dynamic Heterogeneous Protein Information Network Representation Learning.

Zeqian Li, Yi-Jia Zhang, Peixuan Zhou

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Spatiotemporal constrained RNA-protein heterogeneous network for protein complex identification.

Zeqian Li, Shilong Wang, Hai Cui, Xiaoxia Liu, Yijia Zhang

Briefings Bioinform., 2024

Multi-sentence Grounding for Long-Term Instructional Video.

Zeqian Li, Qirui Chen, Tengda Han, Ya Zhang, Yanfeng Wang, Weidi Xie

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Compositional clustering: Applications to multi-label object recognition and speaker identification.

Zeqian Li, Xinlu He, Jacob Whitehill

Pattern Recognit., December, 2023

Statistical prediction of microbial metabolic traits from genomes.

Zeqian Li, Ahmed Selim, Seppe Kuehn

PLoS Comput. Biol., December, 2023

Protein Complex Identification Based on Heterogeneous Protein Information Network.

Peixuan Zhou, Yi-Jia Zhang, Zeqian Li, Kuo Pang, Di Zhao

J. Comput. Biol., September, 2023

A Strong Baseline for Temporal Video-Text Alignment.

Zeqian Li, Qirui Chen, Tengda Han, Ya Zhang, Yanfeng Wang, Weidi Xie

CoRR, 2023

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

Chen Ju, Haicheng Wang, Zeqian Li, Xu Chen, Zhonghua Zhai, Weilin Huang, Shuai Xiao

CoRR, 2023

Multi-modal Prompting for Low-Shot Temporal Action Localization.

Chen Ju, Zeqian Li, Peisen Zhao, Ya Zhang, Xiaopeng Zhang, Qi Tian, Yanfeng Wang, Weidi Xie

CoRR, 2023

Multi-Perspective Semantic Enhanced Model for Heterogeneous Graph Embedding with Contrastive Learning.

Zeqian Li, Yijia Zhang, Huimin Yu, Chunling Wang

Proceedings of the International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2023

Multi-Scale Contrastive Learning Based Heterogeneous Graph Embedding.

Yu Zhang, Jia Wang, Zeqian Li

Proceedings of the 2023 4th International Conference on Computing, 2023

2022

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

Zeqian Li, Keyu Qiu, Chenxu Jiao, Wen Zhu, Haoran Tang

CoRR, 2022

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

Zeqian Li, Keyu Qiu, Zhibin Yu

CoRR, 2022

Silencing BAG3 Inhibits Tumor Cell Proliferation by reducing the Activation of ERK in TNBC.

Zeqian Li

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?

Han Jiang, Zeqian Li, Jacob Whitehill

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

2021

Compositional Affinity Propagation: When Clusters Have Compositional Structure.

Jacob Whitehill, Zeqian Li

CoRR, 2021

Compositional Embeddings for Multi-Label One-Shot Learning.

Zeqian Li, Michael Mozer, Jacob Whitehill

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.

Zeqian Li, Jacob Whitehill

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

How Does Label Noise Affect the Quality of Speaker Embeddings?

Minh Pham, Zeqian Li, Jacob Whitehill

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Toward Better Speaker Embeddings: Automated Collection of Speech Samples From Unknown Distinct Speakers.

Minh Pham, Zeqian Li, Jacob Whitehill

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020