Zhixiang Ren

Orcid: 0000-0002-4104-3790

According to our database1, Zhixiang Ren authored at least 43 papers between 2007 and 2025.

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

Timeline

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Bibliography

2025
A multi-modal genomic knowledge distillation framework for drug response prediction.
Appl. Intell., August, 2025

OmniESI: A unified framework for enzyme-substrate interaction prediction with progressive conditional deep learning.
CoRR, June, 2025

Concept-Driven Deep Learning for Enhanced Protein-Specific Molecular Generation.
CoRR, March, 2025

A quantitative analysis of knowledge-learning preferences in large language models in molecular science.
Nat. Mac. Intell., 2025

Aligning sequence and structure representations leveraging protein domains for function prediction.
Expert Syst. Appl., 2025

Deep learning methods for protein representation and function prediction: A comprehensive overview.
Eng. Appl. Artif. Intell., 2025

A self-feedback knowledge elicitation approach for chemical reaction predictions.
Eng. Appl. Artif. Intell., 2025

Predicting protein stability changes upon mutations with dual-view ensemble learning from single sequence.
Briefings Bioinform., 2025

Generative prediction of real-world prevalent SARS-CoV-2 mutation with <i>in silico</i> virus evolution.
Briefings Bioinform., 2025

Deep learning in single-cell and spatial transcriptomics data analysis: advances and challenges from a data science perspective.
Briefings Bioinform., 2025

2024
3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information.
Pattern Anal. Appl., September, 2024

WaveFormer: transformer-based denoising method for gravitational-wave data.
Mach. Learn. Sci. Technol., March, 2024

GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis.
SoftwareX, 2024

ProtFAD: Introducing function-aware domains as implicit modality towards protein function perception.
CoRR, 2024

Scientific Language Modeling: A Quantitative Review of Large Language Models in Molecular Science.
CoRR, 2024

GIT-Mol: A multi-modal large language model for molecular science with graph, image, and text.
Comput. Biol. Medicine, 2024

Cytokine expression patterns: A single-cell RNA sequencing and machine learning based roadmap for cancer classification.
Comput. Biol. Chem., 2024

Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey.
Big Data Min. Anal., 2024

CELA-MFP: a contrast-enhanced and label-adaptive framework for multi-functional therapeutic peptides prediction.
Briefings Bioinform., 2024

Self-supervised learning on millions of primary RNA sequences from 72 vertebrates improves sequence-based RNA splicing prediction.
Briefings Bioinform., 2024

Dynamic Knowledge-Prior for Few-Shot Drug-Drug Interaction Events Prediction.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

Distilling Multi-Modal Genomic Knowledge for Drug Response Prediction.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2023
DeepProSite: structure-aware protein binding site prediction using ESMFold and pretrained language model.
Bioinform., December, 2023

Running ahead of evolution - AI-based simulation for predicting future high-risk SARS-CoV-2 variants.
Int. J. High Perform. Comput. Appl., November, 2023

Compact Binary Systems Waveform Generation with Generative Pre-trained Transformer.
CoRR, 2023

DECODE: DilatEd COnvolutional neural network for Detecting Extreme-mass-ratio inspirals.
CoRR, 2023

GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text.
CoRR, 2023

2022
MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge.
CoRR, 2022

Space-based gravitational wave signal detection and extraction with deep neural network.
CoRR, 2022

Sampling with prior knowledge for high-dimensional gravitational wave data analysis.
Big Data Min. Anal., 2022

2021
AIPerf: Automated machine learning as an AI-HPC benchmark.
Big Data Min. Anal., 2021

2014
Concurrent Single-Label Image Classification and Annotation via Efficient Multi-Layer Group Sparse Coding.
IEEE Trans. Multim., 2014

Region-Based Saliency Detection and Its Application in Object Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2014

2013
Exploring effective data representation for saliency detection in image and video
PhD thesis, 2013

Regularized Feature Reconstruction for Spatio-Temporal Saliency Detection.
IEEE Trans. Image Process., 2013

Background subtraction via coherent trajectory decomposition.
Proceedings of the ACM Multimedia Conference, 2013

2012
Video saliency detection with robust temporal alignment and local-global spatial contrast.
Proceedings of the International Conference on Multimedia Retrieval, 2012

Salient Object Detection through Over-Segmentation.
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012

Spatiotemporal Saliency Detection via Sparse Representation.
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012

2010
Improved saliency detection based on superpixel clustering and saliency propagation.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Salient Region Detection by Jointly Modeling Distinctness and Redundancy of Image Content.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
Improving Statistical Machine Translation Using Domain Bilingual Multiword Expressions.
Proceedings of the Workshop on Multiword Expressions: Identification, 2009

2007
The ICT statistical machine translation systems for IWSLT 2007.
Proceedings of the 2007 International Workshop on Spoken Language Translation, 2007


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