The ICT statistical machine translation systems for IWSLT 2007. - Zhongjun He; Haitao Mi; Yang Liu 005; Deyi Xiong; Weihua Luo; Yun Huang; Zhixiang Ren; Yajuan Lü; Qun Liu 001 (IWSLT, 2007)

Improving Statistical Machine Translation Using Domain Bilingual Multiword Expressions. - Zhixiang Ren; Yajuan Lü; Jie Cao; Qun Liu 001; Yun Huang (MWE@IJCNLP, 2009)

Salient Region Detection by Jointly Modeling Distinctness and Redundancy of Image Content. - Yiqun Hu; Zhixiang Ren; Deepu Rajan; Liang-Tien Chia (ACCV (2), 2010)

Improved saliency detection based on superpixel clustering and saliency propagation. - Zhixiang Ren; Yiqun Hu; Liang-Tien Chia; Deepu Rajan (ACM Multimedia, 2010)

Spatiotemporal Saliency Detection via Sparse Representation. - Zhixiang Ren; Shenghua Gao; Deepu Rajan; Liang-Tien Chia; Yun Huang (ICME, 2012)

Salient Object Detection through Over-Segmentation. - Xuejie Zhang; Zhixiang Ren; Deepu Rajan; Yiqun Hu (ICME, 2012)

Video saliency detection with robust temporal alignment and local-global spatial contrast. - Zhixiang Ren; Liang-Tien Chia; Deepu Rajan (ICMR, 2012)

Background subtraction via coherent trajectory decomposition. - Zhixiang Ren; Liang-Tien Chia; Deepu Rajan; Shenghua Gao (ACM Multimedia, 2013)

Regularized Feature Reconstruction for Spatio-Temporal Saliency Detection. - Zhixiang Ren; Shenghua Gao; Liang-Tien Chia; Deepu Rajan (IEEE Trans. Image Process., 2013)

Exploring effective data representation for saliency detection in image and video - Zhixiang Ren (2013)

Region-Based Saliency Detection and Its Application in Object Recognition. - Zhixiang Ren; Shenghua Gao; Liang-Tien Chia; Ivor Wai-Hung Tsang (IEEE Trans. Circuits Syst. Video Technol., 2014)

Concurrent Single-Label Image Classification and Annotation via Efficient Multi-Layer Group Sparse Coding. - Shenghua Gao; Liang-Tien Chia; Ivor Wai-Hung Tsang; Zhixiang Ren (IEEE Trans. Multim., 2014)

AIPerf: Automated machine learning as an AI-HPC benchmark. - Zhixiang Ren; Yongheng Liu; Tianhui Shi; Lei Xie; Yue Zhou 014; Jidong Zhai; Youhui Zhang; Yunquan Zhang; Wenguang Chen (Big Data Min. Anal., 2021)

Sampling with prior knowledge for high-dimensional gravitational wave data analysis. - He Wang 018; Zhoujian Cao; Yue Zhou 014; Zong-Kuan Guo; Zhixiang Ren (Big Data Min. Anal., 2022)

Space-based gravitational wave signal detection and extraction with deep neural network. - Tianyu Zhao; Ruoxi Lyu; Zhixiang Ren; He Wang 018; Zhoujian Cao (CoRR, 2022)

MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge. - Marlin B. Schäfer; Ondrej Zelenka; Alexander H. Nitz; He Wang 018; Shichao Wu; Zong-Kuan Guo; Zhoujian Cao; Zhixiang Ren; Paraskevi Nousi; Nikolaos Stergioulas; Panagiotis Iosif; Alexandra E. Koloniari; et al. (CoRR, 2022)

GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text. - Pengfei Liu; Yiming Ren; Zhixiang Ren (CoRR, 2023)

DECODE: DilatEd COnvolutional neural network for Detecting Extreme-mass-ratio inspirals. - Tianyu Zhao; Yue Zhou 014; Ruijun Shi; Zhoujian Cao; Zhixiang Ren (CoRR, 2023)

Compact Binary Systems Waveform Generation with Generative Pre-trained Transformer. - Ruijun Shi; Yue Zhou 014; Tianyu Zhao; Zhoujian Cao; Zhixiang Ren (CoRR, 2023)

Running ahead of evolution - AI-based simulation for predicting future high-risk SARS-CoV-2 variants. - Jie Chen 001; Zhiwei Nie; Yu Wang; Kai Wang; Fan Xu; Zhiheng Hu; Bing Zheng; Zhennan Wang 001; Guoli Song; Jingyi Zhang; Jie Fu 001; Xiansong Huang; et al. (Int. J. High Perform. Comput. Appl., 2023)

DeepProSite: structure-aware protein binding site prediction using ESMFold and pretrained language model. - Yitian Fang; Yi Jiang; Leyi Wei; Qin Ma 003; Zhixiang Ren; Qianmu Yuan; Dong-Qing Wei (Bioinform., 2023)

Distilling Multi-Modal Genomic Knowledge for Drug Response Prediction. - Shuang Ge; Shuqing Sun; Huan Xu; Zhixiang Ren (BCB, 2024)

Dynamic Knowledge-Prior for Few-Shot Drug-Drug Interaction Events Prediction. - Pengfei Liu; Jun Tao 002; Zhixiang Ren (BCB, 2024)

Self-supervised learning on millions of primary RNA sequences from 72 vertebrates improves sequence-based RNA splicing prediction. - Ken Chen 006; Yue Zhou 014; Maolin Ding; Yu Wang 027; Zhixiang Ren; Yuedong Yang (Briefings Bioinform., 2024)

CELA-MFP: a contrast-enhanced and label-adaptive framework for multi-functional therapeutic peptides prediction. - Yitian Fang; Mingshuang Luo; Zhixiang Ren; Leyi Wei; Dong-Qing Wei (Briefings Bioinform., 2024)

Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey. - Taojie Kuang; Pengfei Liu; Zhixiang Ren (Big Data Min. Anal., 2024)

Cytokine expression patterns: A single-cell RNA sequencing and machine learning based roadmap for cancer classification. - Zhixiang Ren; Yiming Ren; Pengfei Liu; Huan Xu (Comput. Biol. Chem., 2024)

GIT-Mol: A multi-modal large language model for molecular science with graph, image, and text. - Pengfei Liu; Yiming Ren; Jun Tao 002; Zhixiang Ren (Comput. Biol. Medicine, 2024)

Scientific Language Modeling: A Quantitative Review of Large Language Models in Molecular Science. - Pengfei Liu; Jun Tao 002; Zhixiang Ren (CoRR, 2024)

ProtFAD: Introducing function-aware domains as implicit modality towards protein function perception. - Mingqing Wang; Zhiwei Nie; Yonghong He; Zhixiang Ren (CoRR, 2024)

GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis. - Tianyu Zhao; Yue Zhou 014; Ruijun Shi; Zhoujian Cao; Zhixiang Ren (SoftwareX, 2024)

WaveFormer: transformer-based denoising method for gravitational-wave data. - He Wang 018; Yue Zhou 014; Zhoujian Cao; Zong-Kuan Guo; Zhixiang Ren (Mach. Learn. Sci. Technol., 2024)

3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information. - Taojie Kuang; Yiming Ren; Zhixiang Ren (Pattern Anal. Appl., 2024)

Deep learning in single-cell and spatial transcriptomics data analysis: advances and challenges from a data science perspective. - Shuang Ge; Shuqing Sun; Huan Xu; Qiang Cheng 001; Zhixiang Ren (Briefings Bioinform., 2025)

Generative prediction of real-world prevalent SARS-CoV-2 mutation with in silico virus evolution. - Xudong Liu; Zhiwei Nie; Haorui Si; Xurui Shen; Yutian Liu 004; Xiansong Huang; Tianyi Dong; Fan Xu; Zhixiang Ren; Peng Zhou; Jie Chen 001 (Briefings Bioinform., 2025)

Predicting protein stability changes upon mutations with dual-view ensemble learning from single sequence. - Zhiwei Nie; Yiming Ma; Yutian Liu 004; Xiansong Huang; Zhihong Liu; Peng Yang 001; Fan Xu; Feng Yin; Zigang Li; Jie Fu 001; Zhixiang Ren; Wen-Bin Zhang; et al. (Briefings Bioinform., 2025)

A self-feedback knowledge elicitation approach for chemical reaction predictions. - Pengfei Liu; Jun Tao 002; Zhixiang Ren (Eng. Appl. Artif. Intell., 2025)

Deep learning methods for protein representation and function prediction: A comprehensive overview. - Mingqing Wang; Zhiwei Nie; Yonghong He; Athanasios V. Vasilakos; Qiang Shawn Cheng; Zhixiang Ren (Eng. Appl. Artif. Intell., 2025)

Aligning sequence and structure representations leveraging protein domains for function prediction. - Mingqing Wang; Zhiwei Nie; Yonghong He; Athanasios V. Vasilakos; Zhixiang Ren (Expert Syst. Appl., 2025)

A Unified Peptide Generative Framework via a Weakly Order-Dependent Autoregressive Language Model and Lifelong Learning. - 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; et al. (J. Chem. Inf. Model., 2025)

A quantitative analysis of knowledge-learning preferences in large language models in molecular science. - Pengfei Liu; Jun Tao 002; Zhixiang Ren (Nat. Mac. Intell., 2025)

Concept-Driven Deep Learning for Enhanced Protein-Specific Molecular Generation. - Taojie Kuang; Qianli Ma; Athanasios V. Vasilakos; Yu Wang 003; Qiang Cheng 001; Zhixiang Ren (CoRR, 2025)

OmniESI: A unified framework for enzyme-substrate interaction prediction with progressive conditional deep learning. - Zhiwei Nie; Hongyu Zhang 002; Hao Jiang; Yutian Liu 004; Xiansong Huang; Fan Xu; Jie Fu 001; Zhixiang Ren; Yonghong Tian 001; Wen-Bin Zhang; Jie Chen 001 (CoRR, 2025)

A multi-modal genomic knowledge distillation framework for drug response prediction. - Shuang Ge; Shuqing Sun; Huan Xu; Qiang Cheng 001; Zhixiang Ren (Appl. Intell., 2025)