Haitao Yuan

Haitao Yuan

Research Fellow@NTU

Publications

# indicates corresponding author, * indicates equal contribution.

2024

  1. Demystifying the QoS and QoE of Edge-hosted Video Streaming Applications in the Wild with SNESet. [Paper][To appear]
    Yanan Li, Guangqing Deng, Changming Bai, Jingyu Yang, Gang Wang, Hao Zhang, Jin Bai, Haitao Yuan#, Mengwei Xu, Shangguang Wang.
    SIGMOD 2024, CCF-A.

  2. GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy. [Paper][To appear]
    Tianhao Peng, Wenjun Wu, Haitao Yuan#, Zhifeng Bao, Pengrui Zhao, Xin Yu, Xuetao Lin, Yu liang, Yanjun Pu.
    ICDE 2024, CCF-A.

  3. Nuhuo: An Effective Estimation Model for Traffic Speed Histogram Imputation on A Road Network. [To appear]
    Haitao Yuan, Gao Cong, Guoliang Li.
    VLDB 2024, CCF-A.

  4. ELAKT: Enhancing Locality for Attentive Knowledge Tracing. [To appear]
    Yanjun Pu, Fang Liu, Rongye Shi, Haitao Yuan#, Ruibo Chen, Tianhao Peng, Wenjun Wu.
    TOIS, CCF-A.

  5. Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data. [To appear]
    Nan Jiang, Haitao Yuan#, Jianing Si, Minxiao Chen, Shangguang Wang.
    ICDE 2024, CCF-A.

  6. STMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting. [To appear]
    Zhengyang Zhao, Haitao Yuan#, Nan Jiang, Minxiao Chen, Ning Liu, Zengxiang Li.
    DASFAA 2024, CCF-B.

2023

  1. Automatic Road Extraction with Multi-Source Data Revisited: Completeness, Smoothness and Discrimination. [Paper][Code]
    Haitao Yuan, Sai Wang, Zhifeng Bao, Shangguang Wang.
    VLDB 2023, CCF-A.

  2. Route Travel Time Estimation on A Road Network Revisited: Heterogeneity, Proximity, Periodicity and Dynamicity. [Paper][Code]
    Haitao Yuan, Guoliang Li, Zhifeng Bao.
    VLDB 2023, CCF-A.

  3. ELASTIC: Edge Workload Forecasting based on Collaborative Cloud-Edge Deep Learning. [Paper]
    Yanan Li, Haitao Yuan#, Zhe Fu, Xiao Ma, Mengwei Xu, Shangguang Wang.
    WWW 2023, CCF-A.

  4. A Deep Generative Model for Trajectory Modeling and Utilization. [To appear] [Paper][Code]
    Yong Wang, Kaiyu Li, Guoliang Li, Haitao Yuan.
    VLDB 2023, CCF-A.

  5. Towards Practical Few-shot Federated NLP. [To appear] [Paper]
    Dongqi Cai, Yaozong Yu, Haitao Yuan, Shangguang Wang, Felix Xiaozhu Lin, Mengwei Xu.
    EuroMLSys 2023.

  6. An Effective Deep Learning Model for Route Travel Time Estimation on A Road Network [Invited] [Paper]
    Haitao Yuan
    ACM TURC 2023.

  7. F3VeTrac: Enabling Fine-grained, Fully-road-covered, and Fully-individual-penetrative Vehicle Trajectory Recovery.
    Zijian Cao, Dong Zhao, Hanxing Song, Haitao Yuan, Qiyue Wang, Huadong Ma.
    IEEE TMC 2023, CCF-A.

2022

  1. AutoView: An Autonomous Materialized View Management System with Encoder-Reducer.
    Yue Han, Guoliang Li, Haitao Yuan, Ji Sun.
    TKDE 2022, CCF-A.

  2. Effective Few-Shot Named Entity Linking by Meta-Learning.
    Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang.
    ICDE 2022, CCF-A.

  3. DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps.
    Jizhou Huang, Zhengjie Huang, Xiaomin Fang, Shikun Feng, Xuyi Chen, Jiaxiang Liu, Haitao Yuan, Haifeng Wang.
    CIKM 2022, CCF-B.

  4. Is it fair? Resource allocation for differentiated services on demands.
    Ran Zhang, Ning Liu, Lei Liu, Wei Zhang, Haitao Yuan, Mianxiong Dong, Lizhen Cui.
    ICWS 2022, CCF-B.

2021

  1. An Effective Joint Prediction Model for Travel Demands and Traffic Flows.
    Haitao Yuan, Guoliang Li, Zhifeng Bao, Ling Feng.
    ICDE 2021, CCF-A.

  2. A survey of traffic prediction: from spatio-temporal data to intelligent transportation.
    Haitao Yuan, Guoliang Li.
    DSE, CCF-C.

2020

  1. Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter.
    Haitao Yuan, Guoliang Li, Zhifeng Bao, Ling Feng.
    SIGMOD 2020, CCF-A.

  2. Automatic View Generation with Deep Learning and Reinforcement Learning.
    Haitao Yuan, Guoliang Li, Ling Feng, Ji Sun, Yue Han.
    ICDE 2020, CCF-A.

  3. Coupled Graph Neural Networks for Text-oriented Clinical Diagnosis Inference.
    Ning Liu, Wei Zhang, Xiuxing Li, Haitao Yuan, Jianyong Wang.
    DASFAA 2020, CCF-B.

2019

  1. Distributed in-memory trajectory similarity search and join on road network.
    Haitao Yuan, Guoliang Li.
    ICDE 2019, CCF-A.

  2. Mathgraph: A knowledge graph for automatically solving mathematical exercises.
    Tianyu Zhao, Yan Huang, Songfan Yang, Yuyu Luo, Jianhua Feng, Yong Wang, Haitao Yuan, Kang Pan, Kaiyu Li, Haoda Li, Fu Zhu.
    DASFAA 2019, CCF-B, Best Paper Award.

  3. Towards Automatic Mathematical Exercise Solving.
    Tianyu Zhao, Chengliang Chai, Yuyu Luo, Jianhua Feng, Yan Huang, Songfan Yang, Haitao Yuan, Haoda Li, Kaiyu Li, Fu Zhu, Kang Pan.
    DSE, CCF-C.

  4. Towards Automatic Mathematical Exercise Solving. (Demo)
    Haoda Li, Guoliang Li, Jiayang Liu, Haitao Yuan, Haiquan Wang.
    SIGMOD 2019 CCF-A.