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Zhixiang Ren
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Books and Theses
- 2013
- [b1]Zhixiang Ren:
Exploring effective data representation for saliency detection in image and video. Nanyang Technological University, Singapore, 2013
Journal Articles
- 2024
- [j12]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) - [j11]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) - [j10]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) - [j9]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) - [j8]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) - 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) - 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) - 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) - 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
- [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)
Conference and Workshop Papers
- 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 - 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
Informal and Other Publications
- 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
- [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
- [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) - 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)
Coauthor Index
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