DM/IR

In top venues

Complete list

Refer to Google Scholar and DBLP for more updated information.





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  • LogNotion: Highlighting Massive Logs to Assist Human Reading and Decision Making

    LogNotion: Highlighting Massive Logs to Assist Human Reading and Decision Making

    Guojun Chu, Jingyu Wang, Tao Sun, Qi Qi, Haifeng Sun, Zirui Zhuang, Jianxin Liao

    [

    TSC

    ]

  • Anomaly Detection on Interleaved Log Data with Semantic Association Mining on Log-Entity Graph

    Anomaly Detection on Interleaved Log Data with Semantic Association Mining on Log-Entity Graph

    Guojun Chu, Jingyu Wang, Qi Qi, Haifeng Sun, Zirui Zhuang, Bo He, Yuhan Jing, Lei Zhang, Jianxin Liao,

    [

    TSE

    ]

  • ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data

    ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data

    Chengsen Wang, Jingyu Wang*, Haifeng Sun, Zirui Zhuang, Jinming Wu, Lei Zhang, Jianxin Liao

    [

    AAAI

    ]

  • Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective

    Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective

    Chengsen Wang, Qi Qi, Jingyu Wang*, Haifeng Sun, Zirui Zhuang, Jinming Wu, Jianxin Liao

    [

    NeurIPS

    ]

  • Diner: Interpretable Anomaly Detection for Seasonal Time Series in Web Services

    Diner: Interpretable Anomaly Detection for Seasonal Time Series in Web Services

    Yuhan Jing, Jingyu Wang, Ji Qi, Qi Qi, Bo He, Zirui Zhuang, Nanxing Wu, Jianxin Liao

    [

    TSC

    ]

  • Cross-graph Embedding with Trainable Proximity for Graph Alignment

    Cross-graph Embedding with Trainable Proximity for Graph Alignment

    Wei Tang, Haifeng Sun, Jingyu Wang, Qi Qi, Chunning Du, Li Chen

    [

    TKDE

    ]

  • Drift doesn’t Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection

    Drift doesn’t Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection

    Chengsen Wang, Qi Qi, Jingyu Wang, Haifeng Sun, Xingyu Wang, Zirui Zhuang, Jianxin Liao

    [

    NeurIPS

    ]

  • Exploiting Spatial-Temporal Behavior Patterns for Fraud Detection in Telecom Networks

    Exploiting Spatial-Temporal Behavior Patterns for Fraud Detection in Telecom Networks

    Guojun Chu, Jingyu Wang, Qi Qi, Haifeng Sun, Shimin Tao, Hao Yang, Jianxin Liao

    [

    TDSC

    ]

  • Identifying Users across Social Media Networks for Interpretable Fine-grained Neighborhood Matching by Adaptive GAT

    Identifying Users across Social Media Networks for Interpretable Fine-grained Neighborhood Matching by Adaptive GAT

    Wei Tang, Haifeng Sun, Jingyu Wang, Cong Liu, Qi Qi, Jing Wang, Jianxin Liao

    [

    TSC

    ]

  • Not Only Pairwise Relationships: Fine-Grained Relational Modeling for Multivariate Time Series Forecasting

    Not Only Pairwise Relationships: Fine-Grained Relational Modeling for Multivariate Time Series Forecasting

    Jinming Wu,Qi Qi,Jingyu Wang,Haifeng Sun,Zhikang Wu,Zirui Zhuang,Jianxin Liao

    [

    IJCAI

    ]