Di Yao

According to our database, Di Yao authored at least 39 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction.

Chengqing Yu, Fei Wang, Yilun Wang, Zezhi Shao, Tao Sun, Di Yao, Yongjun Xu

Inf. Fusion, 2025

2024

PORCA: Root Cause Analysis with Partially Observed Data.

Chang Gong, Di Yao, Jin Wang, Wenbin Li, Lanting Fang, Yongtao Xie, Kaiyu Feng, Peng Han, Jingping Bi

CoRR, 2024

STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis.

Wenbin Li, Di Yao, Ruibo Zhao, Wenjie Chen, Zijie Xu, Chengxue Luo, Chang Gong, Quanliang Jing, Haining Tan, Jingping Bi

CoRR, 2024

AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models.

Shuo Liu, Di Yao, Lanting Fang, Zhetao Li, Wenbin Li, Kaiyu Feng, XiaoWen Ji, Jingping Bi

CoRR, 2024

CausalMMM: Learning Causal Structure for Marketing Mix Modeling.

Chang Gong, Di Yao, Lei Zhang, Sheng Chen, Wenbin Li, Yueyang Su, Jingping Bi

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection.

Wenbin Li, Di Yao, Chang Gong, Xiaokai Chu, Quanliang Jing, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Jingping Bi

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering.

Di Yao, Jin Wang, Wenjie Chen, Fangda Guo, Peng Han, Jingping Bi

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Trajectory Completion via Context-Guided Neural Filtering and Encoding.

Di Yao, Fangda Guo, Zhenyu Wen, Yu Guo, Peng Cheng, Yangyuan He, Jingping Bi

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Spatial-temporal fusion graph framework for trajectory similarity computation.

Silin Zhou, Peng Han, Di Yao, Lisi Chen, Xiangliang Zhang

World Wide Web (WWW), July, 2023

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis.

Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng

CoRR, 2023

Causal Discovery from Temporal Data: An Overview and New Perspectives.

Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi

CoRR, 2023

Transfer Learning for Region-Wide Trajectory Outlier Detection.

Yueyang Su, Di Yao, Tian Tian, Jingping Bi

IEEE Access, 2023

TripSafe: Retrieving Safety-related Abnormal Trips in Real-time with Trajectory Data.

Yueyang Su, Di Yao, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Lu Bai, Jingping Bi

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Causal Discovery from Temporal Data.

Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi, Lun Du, Jin Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Few-shot learning for trajectory outlier detection with only normal trajectories.

Yueyang Su, Di Yao, Jingping Bi

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

A Linear Time Approach to Computing Time Series Similarity Based on Deep Metric Learning.

Di Yao, Gao Cong, Chao Zhang, Xuying Meng, Rongchang Duan, Jingping Bi

IEEE Trans. Knowl. Data Eng., 2022

HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction.

Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao

CoRR, 2022

FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection.

Wenbin Li, Xiaokai Chu, Yueyang Su, Di Yao, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng, Jingping Bi

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation.

Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution.

Di Yao, Chang Gong, Lei Zhang, Sheng Chen, Jingping Bi

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Few-shot Learning for Trajectory-based Mobile Game Cheating Detection.

Yueyang Su, Di Yao, Xiaokai Chu, Wenbin Li, Jingping Bi, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Trajectory-Based Mobile Game Bots Detection with Gaussian Mixture Model.

Yueyang Su, Di Yao, Jingwei Li, Baoli Wang, Jingping Bi, Shiwei Zhao, Runze Wu, Jianrong Tao, Hao Deng

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Contrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification.

Xiaokai Chu, Jiashu Zhao, Xinxin Fan, Di Yao, Zhihua Zhu, Lixin Zou, Dawei Yin, Jingping Bi

Proceedings of the Database Systems for Advanced Applications, 2022

Can Adversarial Training benefit Trajectory Representation?: An Investigation on Robustness for Trajectory Similarity Computation.

Quanliang Jing, Shuo Liu, Xinxin Fan, Jingwei Li, Di Yao, Baoli Wang, Jingping Bi

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Interactive Anomaly Detection in Dynamic Communication Networks.

Xuying Meng, Yequan Wang, Suhang Wang, Di Yao, Yujun Zhang

IEEE/ACM Trans. Netw., 2021

Semi-supervised anomaly detection in dynamic communication networks.

Xuying Meng, Suhang Wang, Zhimin Liang, Di Yao, Jihua Zhou, Yujun Zhang

Inf. Sci., 2021

Deep Transfer Learning for Successive POI Recommendation.

Haining Tan, Di Yao, Jingping Bi

Proceedings of the Spatial Data and Intelligence - Second International Conference, 2021

Meta-Learning Enhanced Neural ODE for Citywide Next POI Recommendation.

Haining Tan, Di Yao, Tao Huang, Baoli Wang, Quanliang Jing, Jingping Bi

Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks.

Peng Han, Jin Wang, Di Yao, Shuo Shang, Xiangliang Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

TRANSFAKE: Multi-task Transformer for Multimodal Enhanced Fake News Detection.

Quanliang Jing, Di Yao, Xinxin Fan, Baoli Wang, Haining Tan, Xiangpeng Bu, Jingping Bi

Proceedings of the International Joint Conference on Neural Networks, 2021

TrajCross: Trajecotry Cross-Modal Retrieval with Contrastive Learning.

Quanliang Jing, Di Yao, Chang Gong, Xinxin Fan, Baoli Wang, Haining Tan, Jingping Bi

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019

Cross-Network Embedding for Multi-Network Alignment.

Xiaokai Chu, Xinxin Fan, Di Yao, Zhihua Zhu, Jianhui Huang, Jingping Bi

Proceedings of the World Wide Web Conference, 2019

Noise-Aware Network Embedding for Multiplex Network.

Xiaokai Chu, Xinxin Fan, Di Yao, Chen-Lin Zhang, Jianhui Huang, Jingping Bi

Proceedings of the International Joint Conference on Neural Networks, 2019

Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach.

Di Yao, Gao Cong, Chao Zhang, Jingping Bi

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Learning deep representation for trajectory clustering.

Di Yao, Chao Zhang, Zhihua Zhu, Qin Hu, Zheng Wang, Jian-Hui Huang, Jingping Bi

Expert Syst. J. Knowl. Eng., 2018

Sub-trajectory- and Trajectory-Neighbor-based Outlier Detection over Trajectory Streams.

Zhihua Zhu, Di Yao, Jianhui Huang, Hanqiang Li, Jingping Bi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017

Trajectory clustering via deep representation learning.

Di Yao, Chao Zhang, Zhihua Zhu, Jian-Hui Huang, Jingping Bi

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

SERM: A Recurrent Model for Next Location Prediction in Semantic Trajectories.

Di Yao, Chao Zhang, Jian-Hui Huang, Jingping Bi

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2015

A word distributed representation based framework for large-scale short text classification.

Di Yao, Jingping Bi, Jian-Hui Huang, Jin Zhu

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015