Qianzhong Li

Orcid: 0000-0003-0951-6268

According to our database1, Qianzhong Li authored at least 27 papers between 2007 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Potential biomarkers: The hypomethylation of cg18949415 and cg22193385 sites in colon adenocarcinoma.
Comput. Biol. Medicine, February, 2024

CancerMHL: the database of integrating key DNA methylation, histone modifications and lncRNAs in cancer.
Database J. Biol. Databases Curation, January, 2024

Multi-Stage Image-Language Cross-Generative Fusion Network for Video-Based Referring Expression Comprehension.
IEEE Trans. Image Process., 2024

Unlocking the potential: A novel prognostic index signature for acute myeloid leukemia.
Comput. Biol. Medicine, 2024

Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR framework.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
CEC: Towards Learning Global Optimized Recommendation through Causality Enhanced Conversion Model.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022
Beyond Crack: Fine-Grained Pavement Defect Segmentation Using Three-Stream Neural Networks.
IEEE Trans. Intell. Transp. Syst., 2022

Cross-modality synergy network for referring expression comprehension and segmentation.
Neurocomputing, 2022

A deep learning model to identify gene expression level using cobinding transcription factor signals.
Briefings Bioinform., 2022

Generalized zero-shot emotion recognition from body gestures.
Appl. Intell., 2022

2021
Rethinking semantic-visual alignment in zero-shot object detection via a softplus margin focal loss.
Neurocomputing, 2021

Robot learning through observation via coarse-to-fine grained video summarization.
Appl. Soft Comput., 2021

TB-Net: A Three-Stream Boundary-Aware Network for Fine-Grained Pavement Disease Segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020
Inverse reinforcement learning-based time-dependent A* planner for human-aware robot navigation with local vision.
Adv. Robotics, 2020

2018
Genome-wide analysis of H3K36me3 and its regulations to cancer-related genes expression in human cell lines.
Biosyst., 2018

Weighted Gene Co-expression Network Analysis of Gene Modules for Lung Adenocarcinoma.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

2016
Predicting gene expression level by the transcription factor binding signals in human embryonic stem cells.
Biosyst., 2016

2014
Numeric characteristics of generalized M-set with its asymptote.
Appl. Math. Comput., 2014

2013
PreDNA: accurate prediction of DNA-binding sites in proteins by integrating sequence and geometric structure information.
Bioinform., 2013

Fractal property of generalized M-set with rational number exponent.
Appl. Math. Comput., 2013

2011
Eukaryotic and prokaryotic promoter prediction using hybrid approach.
Theory Biosci., 2011

Prediction of mitochondrial proteins of malaria parasite using improved hybrid method and reduced amino acid alphabet.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2009
Predicting Plant Pol-II Promoter Based on Subsequence Increment of Overlap Content Diversity.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

Prediction of Presynaptic and Postsynaptic Neurotoxins Using Hybrid Approach and Pseudo Amino Acid Composition.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

2008
Using support vector machine to predict beta- and gamma-turns in proteins.
J. Comput. Chem., 2008

2007
Using pseudo amino acid composition to predict protein structural class: Approached by incorporating 400 dipeptide components.
J. Comput. Chem., 2007


  Loading...