Di Yao

Publication Activity (10 Years)

Years Active: 2023-2025
Publications (10 Years): 13

Top Topics

Temporal Analysis

Causal Structure

Outlier Detection

Top Venues

World Wide Web (WWW)

Publications

Chengqing Yu, Fei Wang, Yilun Wang, Zezhi Shao, Tao Sun, Di Yao, Yongjun Xu
MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction. Inf. Fusion 113 (2025)
Di Yao, Jin Wang, Wenjie Chen, Fangda Guo, Peng Han, Jingping Bi
Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering. ICDE (2024)
Wenbin Li, Di Yao, Ruibo Zhao, Wenjie Chen, Zijie Xu, Chengxue Luo, Chang Gong, Quanliang Jing, Haining Tan, Jingping Bi
STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis. CoRR (2024)
Chang Gong, Di Yao, Jin Wang, Wenbin Li, Lanting Fang, Yongtao Xie, Kaiyu Feng, Peng Han, Jingping Bi
PORCA: Root Cause Analysis with Partially Observed Data. CoRR (2024)
Wenbin Li, Di Yao, Chang Gong, Xiaokai Chu, Quanliang Jing, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Jingping Bi
CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection. ICDE (2024)
Chang Gong, Di Yao, Lei Zhang, Sheng Chen, Wenbin Li, Yueyang Su, Jingping Bi
CausalMMM: Learning Causal Structure for Marketing Mix Modeling. CoRR (2024)
Chang Gong, Di Yao, Lei Zhang, Sheng Chen, Wenbin Li, Yueyang Su, Jingping Bi
CausalMMM: Learning Causal Structure for Marketing Mix Modeling. WSDM (2024)
Shuo Liu, Di Yao, Lanting Fang, Zhetao Li, Wenbin Li, Kaiyu Feng, XiaoWen Ji, Jingping Bi
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models. CoRR (2024)
Silin Zhou, Peng Han, Di Yao, Lisi Chen, Xiangliang Zhang
Spatial-temporal fusion graph framework for trajectory similarity computation. World Wide Web (WWW) 26 (4) (2023)
Yueyang Su, Di Yao, Tian Tian, Jingping Bi
Transfer Learning for Region-Wide Trajectory Outlier Detection. IEEE Access 11 (2023)
Yueyang Su, Di Yao, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Lu Bai, Jingping Bi
TripSafe: Retrieving Safety-related Abnormal Trips in Real-time with Trajectory Data. SIGIR (2023)
Yueyang Su, Di Yao, Jingping Bi
Few-shot learning for trajectory outlier detection with only normal trajectories. IJCNN (2023)
Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi, Lun Du, Jin Wang
Causal Discovery from Temporal Data. KDD (2023)