Jin Xu, Jingbo Zhou, Yongpo Jia, Jian Li，Hui Xiong. Graph Neural Network Enhanced Adaptive Model for Revenue Prediction with Alternative Data. , ICDE 2020.
Yue Yu, Jiaxiang Wu and Longbo Huang. Double Quantization for Communication-Efficient Distributed Optimization. , NeurIPS 2019.
Ran Duan, Haoqing He, Tianyi Zhang. A Scaling Algorithm for Weighted f-Factors in General Graphs. .
Duan, Ran; He, Haoqing; Zhang, Tianyi. Near-linear Time Algorithms for Approximate Minimum Degree Spanning Trees. , https://arxiv.org/abs/1712.09166.
Cen Ruoxu; Duan, Ran. Roundtrip Spanners with (2k-1) stretch. , https://arxiv.org/abs/1911.12411.
Ran Duan, Haoqing He, Tianyi Zhang. Dynamic edge-coloring with improved approximation. , Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms.
Lijie Chen, Ran Duan, Ruosong Wang, Hanrui Zhang, Tianyi Zhang. An improved algorithm for incremental DFS tree in undirected graphs. , SWAT 2018.
Ran Duan, Tianyi Zhang. Improved distance sensitivity oracles via tree partitioning. , WADS 2017.
Ran Duan, Yong Gu, Hanlin Ren. Approximate Distance Oracles Subject to Multiple Vertex Failures. .
Ran Duan, Ce Jin, Hongxun Wu. Faster Algorithms for All Pairs Non-decreasing Paths Problem. , Leibniz International Proceedings in Informatics, LIPIcs.
Shuya Li, Fangping Wan, Hantao Shu, Tao Jiang, Dan Zhao, and Jianyang Zeng. MONN: a Multi-Objective Neural Network for Predicting Pairwise Non-Covalent Interactions and Binding Affinities between Compounds and Proteins. , RECOMB 2019.
Xu Qian, Xinjian Li, Zhumei Shi, Yan Xia, Qingsong Cai, Daqian Xu, Lin Tan, Linyong Du, Yanhua Zheng, Dan Zhao, Chuanbao Zhang, Philip L. Lorenzi, Yongping You, Bing-Hua Jiang, Tao Jiang, Haitao Li, and Zhimin Lu. PTEN Suppresses Glycolysis by Dephosphorylating and Inhibiting Autophosphorylated PGK1. , Mollecular Cell, 2019.
Xuan He, Jianyang Zeng. TINE: a network embedding framework for genome domains identification. .
Xuan He, Sai Zhang, Yanqing Zhang, Zhixin Lei, Tao Jiang, Jianyang Zeng. Characterizing RNA pseudouridylation by convolutional neural networks. , Genomics, Proteomics & Bioinformatics. 2019.
Fangping Wan, Yue Zhu, Hailin Hu, Antao Dai, Xiaoqing Cai, Ligong Chen, Haipeng Gong, Tian Xia, Dehua Yang, Mingwei Wang, Jianyang Zeng. A deep learning based framework for large-scale in silico drug screening. , Genomics, Proteomics & Bioinformatics. 2019.
Hao Chen, Dipan Shaw, Jianyang Zeng, Dongbo Bu, Tao Jiang. DIFFUSE: predicting isoform functions from sequences and expression profiles via deep learning. , Bioinformatics 2019.
Yan Hu, Ziqiang Wang, Hailin Hu, Fangping Wan, Lin Chen, Yuanpeng Xiong, Xiaoxia Wang, Dan Zhao, Weiren Huang*, Jianyang Zeng. ACME: pan-specific peptide-MHC class I binding prediction through attention-based deep neural networks. , Bioinformatics. 2019.
Yuanpeng Xiong, Xuan He, Dan Zhao, Tao Jiang, Jianyang Zeng. Multi-species RNA Modification Analysis through Multi-task Curriculum Learning. .