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2020 – today
- 2024
[j13]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)- [j12]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: 108025 (2024) - [j11]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: 108073 (2024) - [j10]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): 15046 (2024) - [j9]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): 71 (2024) - [j8]Tianyu Zhao, Yue Zhou, Ruijun Shi, Zhoujian Cao, Zhixiang Ren:
GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis. SoftwareX 28: 101930 (2024) - [i11]Pengfei Liu, Jun Tao, Zhixiang Ren:
Scientific Language Modeling: A Quantitative Review of Large Language Models in Molecular Science. CoRR abs/2402.04119 (2024) - [i10]Taojie Kuang, Pengfei Liu, Zhixiang Ren:
The Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey. CoRR abs/2402.07249 (2024) - [i9]Pengfei Liu, Jun Tao, Zhixiang Ren:
A Self-feedback Knowledge Elicitation Approach for Chemical Reaction Predictions. CoRR abs/2404.09606 (2024) - [i8]Mingqing Wang, Zhiwei Nie, Yonghong He, Zhixiang Ren:
ProtFAD: Introducing function-aware domains as implicit modality towards protein function perception. CoRR abs/2405.15158 (2024) - 2023
- [j7]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) - [j6]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): 650-665 (2023) - [i7]Pengfei Liu, Yiming Ren, Zhixiang Ren:
GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text. CoRR abs/2308.06911 (2023) - [i6]Tianyu Zhao, Yue Zhou, Ruijun Shi, Zhoujian Cao, Zhixiang Ren:
DECODE: DilatEd COnvolutional neural network for Detecting Extreme-mass-ratio inspirals. CoRR abs/2308.16422 (2023) - [i5]Taojie Kuang, Yiming Ren, Zhixiang Ren:
3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information. CoRR abs/2309.17366 (2023) - [i4]Ruijun Shi, Yue Zhou, Tianyu Zhao, Zhoujian Cao, Zhixiang Ren:
Compact Binary Systems Waveform Generation with Generative Pre-trained Transformer. CoRR abs/2310.20172 (2023) - 2022
- [j5]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): 53-63 (2022) - [i3]Tianyu Zhao, Ruoxi Lyu, Zhixiang Ren, He Wang, Zhoujian Cao:
Space-based gravitational wave signal detection and extraction with deep neural network. CoRR abs/2207.07414 (2022) - [i2]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:
MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge. CoRR abs/2209.11146 (2022) - 2021
- [j4]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): 208-220 (2021) - 2020
- [i1]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 abs/2008.07141 (2020)
2010 – 2019
- 2014
- [j3]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): 769-779 (2014) - [j2]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): 762-771 (2014) - 2013
- [b1]Zhixiang Ren:
Exploring effective data representation for saliency detection in image and video. Nanyang Technological University, Singapore, 2013 - [j1]Zhixiang Ren, Shenghua Gao, Liang-Tien Chia, Deepu Rajan:
Regularized Feature Reconstruction for Spatio-Temporal Saliency Detection. IEEE Trans. Image Process. 22(8): 3120-3132 (2013) - [c8]Zhixiang Ren, Liang-Tien Chia, Deepu Rajan, Shenghua Gao:
Background subtraction via coherent trajectory decomposition. ACM Multimedia 2013: 545-548 - 2012
- [c7]Zhixiang Ren, Shenghua Gao, Deepu Rajan, Liang-Tien Chia, Yun Huang:
Spatiotemporal Saliency Detection via Sparse Representation. ICME 2012: 158-163 - [c6]Xuejie Zhang, Zhixiang Ren, Deepu Rajan, Yiqun Hu:
Salient Object Detection through Over-Segmentation. ICME 2012: 1033-1038 - [c5]Zhixiang Ren, Liang-Tien Chia, Deepu Rajan:
Video saliency detection with robust temporal alignment and local-global spatial contrast. ICMR 2012: 47 - 2010
- [c4]Yiqun Hu, Zhixiang Ren, Deepu Rajan, Liang-Tien Chia:
Salient Region Detection by Jointly Modeling Distinctness and Redundancy of Image Content. ACCV (2) 2010: 515-526 - [c3]Zhixiang Ren, Yiqun Hu, Liang-Tien Chia, Deepu Rajan:
Improved saliency detection based on superpixel clustering and saliency propagation. ACM Multimedia 2010: 1099-1102
2000 – 2009
- 2009
- [c2]Zhixiang Ren, Yajuan Lü, Jie Cao, Qun Liu, Yun Huang:
Improving Statistical Machine Translation Using Domain Bilingual Multiword Expressions. MWE@IJCNLP 2009: 47-54 - 2007
- [c1]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: 119-124
Coauthor Index
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