Zhixiang Ren

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 20

Top Topics

Saliency Detection

Convolutional Neural Network

Domain Knowledge

Top Venues

Big Data Min. Anal.

Mach. Learn. Sci. Technol.

Publications

Taojie Kuang, Yiming Ren, Zhixiang Ren
3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information. Pattern Anal. Appl. 27 (3) (2024)
He Wang, Yue Zhou, Zhoujian Cao, Zong-Kuan Guo, Zhixiang Ren
WaveFormer: transformer-based denoising method for gravitational-wave data. Mach. Learn. Sci. Technol. 5 (1) (2024)
Pengfei Liu, Yiming Ren, Jun Tao, Zhixiang Ren
GIT-Mol: A multi-modal large language model for molecular science with graph, image, and text. Comput. Biol. Medicine 171 (2024)
Mingqing Wang, Zhiwei Nie, Yonghong He, Zhixiang Ren
ProtFAD: Introducing function-aware domains as implicit modality towards protein function perception. CoRR (2024)
Pengfei Liu, Jun Tao, Zhixiang Ren
Scientific Language Modeling: A Quantitative Review of Large Language Models in Molecular Science. CoRR (2024)
Taojie Kuang, Pengfei Liu, Zhixiang Ren
The Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey. CoRR (2024)
Ken Chen, Yue Zhou, Maolin Ding, Yu Wang, Zhixiang Ren, Yuedong Yang
Self-supervised learning on millions of primary RNA sequences from 72 vertebrates improves sequence-based RNA splicing prediction. Briefings Bioinform. 25 (3) (2024)
Zhixiang Ren, Yiming Ren, Pengfei Liu, Huan Xu
Cytokine expression patterns: A single-cell RNA sequencing and machine learning based roadmap for cancer classification. Comput. Biol. Chem. 109 (2024)
Pengfei Liu, Jun Tao, Zhixiang Ren
A Self-feedback Knowledge Elicitation Approach for Chemical Reaction Predictions. CoRR (2024)
Tianyu Zhao, Yue Zhou, Ruijun Shi, Zhoujian Cao, Zhixiang Ren
DECODE: DilatEd COnvolutional neural network for Detecting Extreme-mass-ratio inspirals. CoRR (2023)
Ruijun Shi, Yue Zhou, Tianyu Zhao, Zhoujian Cao, Zhixiang Ren
Compact Binary Systems Waveform Generation with Generative Pre-trained Transformer. CoRR (2023)
Taojie Kuang, Yiming Ren, Zhixiang Ren
3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information. CoRR (2023)
Yitian Fang, Yi Jiang, Leyi Wei, Qin Ma, Zhixiang Ren, Qianmu Yuan, Dong-Qing Wei
DeepProSite: structure-aware protein binding site prediction using ESMFold and pretrained language model. Bioinform. 39 (12) (2023)
Pengfei Liu, Yiming Ren, Zhixiang Ren
GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text. CoRR (2023)
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
Running ahead of evolution - AI-based simulation for predicting future high-risk SARS-CoV-2 variants. Int. J. High Perform. Comput. Appl. 37 (6) (2023)
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, E. A. Huerta, Chris Messenger, Frank Ohme
MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge. CoRR (2022)
Tianyu Zhao, Ruoxi Lyu, Zhixiang Ren, He Wang, Zhoujian Cao
Space-based gravitational wave signal detection and extraction with deep neural network. CoRR (2022)
He Wang, Zhoujian Cao, Yue Zhou, Zong-Kuan Guo, Zhixiang Ren
Sampling with prior knowledge for high-dimensional gravitational wave data analysis. Big Data Min. Anal. 5 (1) (2022)
Zhixiang Ren, Yongheng Liu, Tianhui Shi, Lei Xie, Yue Zhou, Jidong Zhai, Youhui Zhang, Yunquan Zhang, Wenguang Chen
AIPerf: Automated machine learning as an AI-HPC benchmark. Big Data Min. Anal. 4 (3) (2021)
Zhixiang Ren, Yongheng Liu, Tianhui Shi, Lei Xie, Yue Zhou, Jidong Zhai, Youhui Zhang, Yunquan Zhang, Wenguang Chen
AIPerf: Automated machine learning as an AI-HPC benchmark. CoRR (2020)
Zhixiang Ren, Shenghua Gao, Liang-Tien Chia, Ivor Wai-Hung Tsang
Region-Based Saliency Detection and Its Application in Object Recognition. IEEE Trans. Circuits Syst. Video Technol. 24 (5) (2014)
Shenghua Gao, Liang-Tien Chia, Ivor Wai-Hung Tsang, Zhixiang Ren
Concurrent Single-Label Image Classification and Annotation via Efficient Multi-Layer Group Sparse Coding. IEEE Trans. Multim. 16 (3) (2014)
Zhixiang Ren, Shenghua Gao, Liang-Tien Chia, Deepu Rajan
Regularized Feature Reconstruction for Spatio-Temporal Saliency Detection. IEEE Trans. Image Process. 22 (8) (2013)
Zhixiang Ren, Liang-Tien Chia, Deepu Rajan, Shenghua Gao
Background subtraction via coherent trajectory decomposition. ACM Multimedia (2013)
Zhixiang Ren, Liang-Tien Chia, Deepu Rajan
Video saliency detection with robust temporal alignment and local-global spatial contrast. ICMR (2012)
Xuejie Zhang, Zhixiang Ren, Deepu Rajan, Yiqun Hu
Salient Object Detection through Over-Segmentation. ICME (2012)
Zhixiang Ren, Shenghua Gao, Deepu Rajan, Liang-Tien Chia, Yun Huang
Spatiotemporal Saliency Detection via Sparse Representation. ICME (2012)
Zhixiang Ren, Yiqun Hu, Liang-Tien Chia, Deepu Rajan
Improved saliency detection based on superpixel clustering and saliency propagation. ACM Multimedia (2010)
Yiqun Hu, Zhixiang Ren, Deepu Rajan, Liang-Tien Chia
Salient Region Detection by Jointly Modeling Distinctness and Redundancy of Image Content. ACCV (2) (2010)
Zhixiang Ren, Yajuan Lü, Jie Cao, Qun Liu, Yun Huang
Improving Statistical Machine Translation Using Domain Bilingual Multiword Expressions. MWE@IJCNLP (2009)
Zhongjun He, Haitao Mi, Yang Liu, Deyi Xiong, Weihua Luo, Yun Huang, Zhixiang Ren, Yajuan Lü, Qun Liu
The ICT statistical machine translation systems for IWSLT 2007. IWSLT (2007)