Jiannan Mao

14 papers C 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A symbolic node-priority ranker driven by deep reinforcement learning for distributed traffic signal control.
Eng. Appl. Artif. Intell.
Guoqiang Chen, Lan Liu, Jiannan Mao, Weike Lu, Guojing Hu, Hao Huang
2025 J jnl
A convergent cross-mapping approach for unveiling congestion spatial causality in urban traffic networks.
Comput. Aided Civ. Infrastructure Eng.
Jiannan Mao, Hao Huang, Yu Gu, Weike Lu, Tianli Tang, Fan Ding
2025 J jnl
Data Augmentation for Low-Resource Languages in Multilingual Dependency Parsing.
J. Nat. Lang. Process.
Jiannan Mao, Chenchen Ding, Hour Kaing, Hideki Tanaka, Masao Utiyama, Tadahiro Matsumoto
2025 — conf
Registering Source Tokens to Target Language Spaces in Multilingual Neural Machine Translation.
ACL (1)
Zhi Qu, Yiran Wang, Jiannan Mao, Chenchen Ding, Hideki Tanaka, Masao Utiyama, Taro Watanabe
2025 J jnl
Registering Source Tokens to Target Language Spaces in Multilingual Neural Machine Translation.
CoRR
Zhi Qu, Yiran Wang, Jiannan Mao, Chenchen Ding, Hideki Tanaka, Masao Utiyama, Taro Watanabe
2024 J jnl
A dynamic graph deep learning model with multivariate empirical mode decomposition for network-wide metro passenger flow prediction.
Comput. Aided Civ. Infrastructure Eng.
Hao Huang, Jiannan Mao, Leilei Kang, Weike Lu, Sijia Zhang, Lan Liu
2024 J jnl
MTLMetro: A Deep Multi-Task Learning Model for Metro Passenger Demands Prediction.
IEEE Trans. Intell. Transp. Syst.
Hao Huang, Jiannan Mao, Ronghui Liu, Weike Lu, Tianli Tang, Lan Liu
2024 J jnl
Neural Machine Translation for Low-Resource Languages from a Chinese-centric Perspective: A Survey.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Jinyi Zhang, Ke Su, Haowei Li, Jiannan Mao, Ye Tian, Feng Wen, Chong Guo, Tadahiro Matsumoto
2024 J jnl
Origin-Destination Matrix Prediction in Public Transport Networks: Incorporating Heterogeneous Direct and Transfer Trips.
IEEE Trans. Intell. Transp. Syst.
Tianli Tang, Jiannan Mao, Ronghui Liu, Zhiyuan Liu, Yiran Wang, Di Huang
2023 J jnl
An Enhanced Method for Neural Machine Translation via Data Augmentation Based on the Self-Constructed English-Chinese Corpus, WCC-EC.
IEEE Access
Jinyi Zhang, Cong Guo, Jiannan Mao, Chong Guo, Tadahiro Matsumoto
2023 C conf
Improving Zero-Shot Dependency Parsing by Unsupervised Learning.
PACLIC
Jiannan Mao, Chenchen Ding, Hour Kaing, Hideki Tanaka, Masao Utiyama, Tadahiro Matsumoto
2022 J jnl
Multi-precision traffic speed predictions via modified sequence to sequence model and spatial dependency evaluation method.
Appl. Soft Comput.
Jiannan Mao, Hao Huang, Weike Lu, Yuting Chen, Lan Liu
2021 — conf
Analysis of Different Graph Convolutional Network Prediction Models with Spatial Dependence Evaluation.
ITSC
Yuting Chen, Jiannan Mao, Hao Huang, Qipeng Yan, Weike Lu, Lan Liu
2021 — conf
Mining the Graph Representation of Traffic Speed Data for Graph Convolutional Neural Network.
ITSC
Jiannan Mao, Hao Huang, Yuting Chen, Weike Lu, Guoqiang Chen, Lan Liu