Zhixiang Ren

56 papers A* 2A 2B 1Journal 45Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Multi-task Large Reasoning Model for Molecular Science.
CoRR
Pengfei Liu, Shuang Ge, Jun Tao, Zhixiang Ren
2026 J jnl
Concept-Driven Deep Learning for Enhanced Protein-Specific Molecular Generation.
ACM Trans. Knowl. Discov. Data
Taojie Kuang, Qianli Ma, Athanasios V. Vasilakos, Yu Wang, Qiang Cheng, Zhixiang Ren
2026 J jnl
Enhanced Drug-drug Interaction Prediction Using Adaptive Knowledge Integration.
CoRR
Pengfei Liu, Jun Tao, Zhixiang Ren
2026 J jnl
Pseudodata-guided Invariant Representation Learning Boosts the Out-of-Distribution Generalization in Enzymatic Kinetic Parameter Prediction.
CoRR
Haomin Wu, Zhiwei Nie, Hongyu Zhang, Zhixiang Ren
2025 J jnl
A BIM-Derived Synthetic Point Cloud (SPC) Dataset for Construction Scene Component Segmentation.
Data
Yiquan Zou, Tianxiang Liang, Wenxuan Chen, Zhixiang Ren, Yuhan Wen
2025 J jnl
A Unified Peptide Generative Framework via a Weakly Order-Dependent Autoregressive Language Model and Lifelong Learning.
J. Chem. Inf. Model.
Zhiwei Nie, Daixi Li, Yutian Liu, Fan Xu, Hongyu Zhang, Xiansong Huang, Xudong Liu, Zhennan Wang, Yiming Ma, Yuxin Ye, Feng Yin, Wen-Bin Zhang, Zhixiang Ren, Zhihong Liu, Zigang Li, Jie Chen
2025 J jnl
A multi-modal genomic knowledge distillation framework for drug response prediction.
Appl. Intell.
Shuang Ge, Shuqing Sun, Huan Xu, Qiang Cheng, Zhixiang Ren
2025 J jnl
A quantitative analysis of knowledge-learning preferences in large language models in molecular science.
Nat. Mac. Intell.
Pengfei Liu, Jun Tao, Zhixiang Ren
2025 J jnl
A self-feedback knowledge elicitation approach for chemical reaction predictions.
Eng. Appl. Artif. Intell.
Pengfei Liu, Jun Tao, Zhixiang Ren
2025 J jnl
Aligning sequence and structure representations leveraging protein domains for function prediction.
Expert Syst. Appl.
Mingqing Wang, Zhiwei Nie, Yonghong He, Athanasios V. Vasilakos, Zhixiang Ren
2025 J jnl
Concept-Driven Deep Learning for Enhanced Protein-Specific Molecular Generation.
CoRR
Taojie Kuang, Qianli Ma, Athanasios V. Vasilakos, Yu Wang, Qiang Cheng, Zhixiang Ren
2025 J jnl
Deep learning in single-cell and spatial transcriptomics data analysis: advances and challenges from a data science perspective.
Briefings Bioinform.
Shuang Ge, Shuqing Sun, Huan Xu, Qiang Cheng, Zhixiang Ren
2025 J jnl
Deep learning methods for protein representation and function prediction: A comprehensive overview.
Eng. Appl. Artif. Intell.
Mingqing Wang, Zhiwei Nie, Yonghong He, Athanasios V. Vasilakos, Qiang Shawn Cheng, Zhixiang Ren
2025 J jnl
Discovery of Bioactive Constituents for Colitis From Traditional Chinese Medicine Prescription via Deep Neural Network.
IEEE Trans. Comput. Biol. Bioinform.
Zhixiang Ren, Yiming Ren, Pengfei Liu, Qi Shu, Huijuan Ma, Huan Xu
2025 J jnl
Few-Shot Generalization to Novel Compounds in Single-Cell Drug Response via Graph-Infused Meta-Pretraining.
IEEE Trans. Comput. Biol. Bioinform.
Shuang Ge, Yiming Ren, Huan Xu, Qiang Shawn Cheng, Shuqing Sun, Zhixiang Ren
2025 J jnl
Generative prediction of real-world prevalent SARS-CoV-2 mutation with
Briefings Bioinform.
Xudong Liu, Zhiwei Nie, Haorui Si, Xurui Shen, Yutian Liu, Xiansong Huang, Tianyi Dong, Fan Xu, Zhixiang Ren, Peng Zhou, Jie Chen
2025 J jnl
OmniESI: A unified framework for enzyme-substrate interaction prediction with progressive conditional deep learning.
CoRR
Zhiwei Nie, Hongyu Zhang, Hao Jiang, Yutian Liu, Xiansong Huang, Fan Xu, Jie Fu, Zhixiang Ren, Yonghong Tian, Wen-Bin Zhang, Jie Chen
2025 J jnl
Predicting protein stability changes upon mutations with dual-view ensemble learning from single sequence.
Briefings Bioinform.
Zhiwei Nie, Yiming Ma, Yutian Liu, Xiansong Huang, Zhihong Liu, Peng Yang, Fan Xu, Feng Yin, Zigang Li, Jie Fu, Zhixiang Ren, Wen-Bin Zhang, Jie Chen
2024 J jnl
3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information.
Pattern Anal. Appl.
Taojie Kuang, Yiming Ren, Zhixiang Ren
2024 J jnl
A Self-feedback Knowledge Elicitation Approach for Chemical Reaction Predictions.
CoRR
Pengfei Liu, Jun Tao, Zhixiang Ren
2024 J jnl
CELA-MFP: a contrast-enhanced and label-adaptive framework for multi-functional therapeutic peptides prediction.
Briefings Bioinform.
Yitian Fang, Mingshuang Luo, Zhixiang Ren, Leyi Wei, Dong-Qing Wei
2024 J jnl
Cytokine expression patterns: A single-cell RNA sequencing and machine learning based roadmap for cancer classification.
Comput. Biol. Chem.
Zhixiang Ren, Yiming Ren, Pengfei Liu, Huan Xu
2024 J jnl
Deep Learning in Single-Cell and Spatial Transcriptomics Data Analysis: Advances and Challenges from a Data Science Perspective.
CoRR
Shuang Ge, Shuqing Sun, Huan Xu, Qiang Cheng, Zhixiang Ren
2024 — conf
Distilling Multi-Modal Genomic Knowledge for Drug Response Prediction.
BCB
Shuang Ge, Shuqing Sun, Huan Xu, Zhixiang Ren
2024 — conf
Dynamic Knowledge-Prior for Few-Shot Drug-Drug Interaction Events Prediction.
BCB
Pengfei Liu, Jun Tao, Zhixiang Ren
2024 J jnl
GIT-Mol: A multi-modal large language model for molecular science with graph, image, and text.
Comput. Biol. Medicine
Pengfei Liu, Yiming Ren, Jun Tao, Zhixiang Ren
2024 J jnl
GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis.
SoftwareX
Tianyu Zhao, Yue Zhou, Ruijun Shi, Zhoujian Cao, Zhixiang Ren
2024 J jnl
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey.
Big Data Min. Anal.
Taojie Kuang, Pengfei Liu, Zhixiang Ren
2024 J jnl
ProtFAD: Introducing function-aware domains as implicit modality towards protein function perception.
CoRR
Mingqing Wang, Zhiwei Nie, Yonghong He, Zhixiang Ren
2024 J jnl
Scientific Language Modeling: A Quantitative Review of Large Language Models in Molecular Science.
CoRR
Pengfei Liu, Jun Tao, Zhixiang Ren
2024 J jnl
Self-supervised learning on millions of primary RNA sequences from 72 vertebrates improves sequence-based RNA splicing prediction.
Briefings Bioinform.
Ken Chen, Yue Zhou, Maolin Ding, Yu Wang, Zhixiang Ren, Yuedong Yang
2024 J jnl
The Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey.
CoRR
Taojie Kuang, Pengfei Liu, Zhixiang Ren
2024 J jnl
WaveFormer: transformer-based denoising method for gravitational-wave data.
Mach. Learn. Sci. Technol.
He Wang, Yue Zhou, Zhoujian Cao, Zong-Kuan Guo, Zhixiang Ren
2023 J jnl
3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information.
CoRR
Taojie Kuang, Yiming Ren, Zhixiang Ren
2023 J jnl
Compact Binary Systems Waveform Generation with Generative Pre-trained Transformer.
CoRR
Ruijun Shi, Yue Zhou, Tianyu Zhao, Zhoujian Cao, Zhixiang Ren
2023 J jnl
DECODE: DilatEd COnvolutional neural network for Detecting Extreme-mass-ratio inspirals.
CoRR
Tianyu Zhao, Yue Zhou, Ruijun Shi, Zhoujian Cao, Zhixiang Ren
2023 J jnl
DeepProSite: structure-aware protein binding site prediction using ESMFold and pretrained language model.
Bioinform.
Yitian Fang, Yi Jiang, Leyi Wei, Qin Ma, Zhixiang Ren, Qianmu Yuan, Dong-Qing Wei
2023 J jnl
GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text.
CoRR
Pengfei Liu, Yiming Ren, Zhixiang Ren
2023 J jnl
Running ahead of evolution - AI-based simulation for predicting future high-risk SARS-CoV-2 variants.
Int. J. High Perform. Comput. Appl.
Jie Chen, Zhiwei Nie, Yu Wang, Kai Wang, Fan Xu, Zhiheng Hu, Bing Zheng, Zhennan Wang, Guoli Song, Jingyi Zhang, Jie Fu, Xiansong Huang, Zhongqi Wang, Zhixiang Ren, Qiankun Wang, Daixi Li, Dongqing Wei, Bin Zhou, Chao Yang, Yonghong Tian
2022 J jnl
MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge.
CoRR
Marlin B. Schäfer, Ondrej Zelenka, Alexander H. Nitz, He Wang, Shichao Wu, Zong-Kuan Guo, Zhoujian Cao, Zhixiang Ren, Paraskevi Nousi, Nikolaos Stergioulas, Panagiotis Iosif, Alexandra E. Koloniari, Anastasios Tefas, Nikolaos Passalis, Francesco Salemi, Gabriele Vedovato, Sergey Klimenko, Tanmaya Mishra, Bernd Brügmann, Elena Cuoco, Eliu A. Huerta, Chris Messenger, Frank Ohme
2022 J jnl
Sampling with prior knowledge for high-dimensional gravitational wave data analysis.
Big Data Min. Anal.
He Wang, Zhoujian Cao, Yue Zhou, Zong-Kuan Guo, Zhixiang Ren
2022 J jnl
Space-based gravitational wave signal detection and extraction with deep neural network.
CoRR
Tianyu Zhao, Ruoxi Lyu, Zhixiang Ren, He Wang, Zhoujian Cao
2021 J jnl
AIPerf: Automated machine learning as an AI-HPC benchmark.
Big Data Min. Anal.
Zhixiang Ren, Yongheng Liu, Tianhui Shi, Lei Xie, Yue Zhou, Jidong Zhai, Youhui Zhang, Yunquan Zhang, Wenguang Chen
2020 J jnl
AIPerf: Automated machine learning as an AI-HPC benchmark.
CoRR
Zhixiang Ren, Yongheng Liu, Tianhui Shi, Lei Xie, Yue Zhou, Jidong Zhai, Youhui Zhang, Yunquan Zhang, Wenguang Chen
2014 J jnl
Concurrent Single-Label Image Classification and Annotation via Efficient Multi-Layer Group Sparse Coding.
IEEE Trans. Multim.
Shenghua Gao, Liang-Tien Chia, Ivor Wai-Hung Tsang, Zhixiang Ren
2014 J jnl
Region-Based Saliency Detection and Its Application in Object Recognition.
IEEE Trans. Circuits Syst. Video Technol.
Zhixiang Ren, Shenghua Gao, Liang-Tien Chia, Ivor Wai-Hung Tsang
2013 A* conf
Background subtraction via coherent trajectory decomposition.
ACM Multimedia
Zhixiang Ren, Liang-Tien Chia, Deepu Rajan, Shenghua Gao
2013 — —
Exploring effective data representation for saliency detection in image and video
Zhixiang Ren
2013 J jnl
Regularized Feature Reconstruction for Spatio-Temporal Saliency Detection.
IEEE Trans. Image Process.
Zhixiang Ren, Shenghua Gao, Liang-Tien Chia, Deepu Rajan
2012 A conf
Salient Object Detection through Over-Segmentation.
ICME
Xuejie Zhang, Zhixiang Ren, Deepu Rajan, Yiqun Hu
2012 A conf
Spatiotemporal Saliency Detection via Sparse Representation.
ICME
Zhixiang Ren, Shenghua Gao, Deepu Rajan, Liang-Tien Chia, Yun Huang
2012 B conf
Video saliency detection with robust temporal alignment and local-global spatial contrast.
ICMR
Zhixiang Ren, Liang-Tien Chia, Deepu Rajan
2010 A* conf
Improved saliency detection based on superpixel clustering and saliency propagation.
ACM Multimedia
Zhixiang Ren, Yiqun Hu, Liang-Tien Chia, Deepu Rajan
2010 — conf
Salient Region Detection by Jointly Modeling Distinctness and Redundancy of Image Content.
ACCV (2)
Yiqun Hu, Zhixiang Ren, Deepu Rajan, Liang-Tien Chia
2009 — conf
Improving Statistical Machine Translation Using Domain Bilingual Multiword Expressions.
MWE@IJCNLP
Zhixiang Ren, Yajuan Lü, Jie Cao, Qun Liu, Yun Huang
2007 — conf
The ICT statistical machine translation systems for IWSLT 2007.
IWSLT
Zhongjun He, Haitao Mi, Yang Liu, Deyi Xiong, Weihua Luo, Yun Huang, Zhixiang Ren, Yajuan Lü, Qun Liu