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2020 – today
- 2024
[j5]Hao Huang, Jiannan Mao, Leilei Kang, Weike Lu, Sijia Zhang, Lan Liu:
A dynamic graph deep learning model with multivariate empirical mode decomposition for network-wide metro passenger flow prediction. Comput. Aided Civ. Infrastructure Eng. 39(17): 2596-2618 (2024)- [j4]Jinyi Zhang
, Ke Su, Haowei Li, Jiannan Mao, Ye Tian, Feng Wen, Chong Guo, Tadahiro Matsumoto:
Neural Machine Translation for Low-Resource Languages from a Chinese-centric Perspective: A Survey. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(6): 80 (2024) - [j3]Hao Huang, Jiannan Mao, Ronghui Liu, Weike Lu, Tianli Tang, Lan Liu:
MTLMetro: A Deep Multi-Task Learning Model for Metro Passenger Demands Prediction. IEEE Trans. Intell. Transp. Syst. 25(9): 11805-11820 (2024) - 2023
- [j2]Jinyi Zhang, Cong Guo, Jiannan Mao, Chong Guo, Tadahiro Matsumoto:
An Enhanced Method for Neural Machine Translation via Data Augmentation Based on the Self-Constructed English-Chinese Corpus, WCC-EC. IEEE Access 11: 112123-112132 (2023) - [c3]Jiannan Mao, Chenchen Ding, Hour Kaing, Hideki Tanaka, Masao Utiyama, Tadahiro Matsumoto:
Improving Zero-Shot Dependency Parsing by Unsupervised Learning. PACLIC 2023: 217-226 - 2022
- [j1]Jiannan Mao, Hao Huang, Weike Lu, Yuting Chen, Lan Liu:
Multi-precision traffic speed predictions via modified sequence to sequence model and spatial dependency evaluation method. Appl. Soft Comput. 130: 109700 (2022) - 2021
- [c2]Jiannan Mao, Hao Huang, Yuting Chen, Weike Lu, Guoqiang Chen, Lan Liu:
Mining the Graph Representation of Traffic Speed Data for Graph Convolutional Neural Network. ITSC 2021: 1205-1210 - [c1]Yuting Chen, Jiannan Mao, Hao Huang, Qipeng Yan, Weike Lu, Lan Liu:
Analysis of Different Graph Convolutional Network Prediction Models with Spatial Dependence Evaluation. ITSC 2021: 1780-1785
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