Di Yao

52 papers A* 13A 3B 6Journal 22Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
DPBL: Denoised Player Behavior Representation Learning.
IEEE Trans. Games
Wenbin Li, Di Yao, Zijie Xu, Chang Gong, Quanliang Jing, Shiwei Zhao, Runze Wu, Haining Tan, Zhipeng Hu, Tangjie Lv, Changjie Fan, Jingping Bi
2026 — conf
Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining?
KDD (1)
Shuo Liu, Di Yao, Yan Lin, Gao Cong, Jingping Bi
2025 J jnl
Causal Discovery from Temporal Data: An Overview and New Perspectives.
ACM Comput. Surv.
Chang Gong, Chuzhe Zhang, Di Yao, Jingping Bi, Wenbin Li, Yongjun Xu
2025 A* conf
Effective and Efficient Representation Learning for Flight Trajectories.
AAAI
Shuo Liu, Wenbin Li, Di Yao, Jingping Bi
2025 J jnl
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis.
IEEE Trans. Knowl. Data Eng.
Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Tao Sun, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng
2025 J jnl
GTool: Graph Enhanced Tool Planning with Large Language Model.
CoRR
Wenjie Chen, Wenbin Li, Di Yao, Xuying Meng, Chang Gong, Jingping Bi
2025 J jnl
MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction.
Inf. Fusion
Chengqing Yu, Fei Wang, Yilun Wang, Zezhi Shao, Tao Sun, Di Yao, Yongjun Xu
2025 — conf
STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis.
WWW (Companion Volume)
Wenbin Li, Di Yao, Ruibo Zhao, Wenjie Chen, Zijie Xu, Chengxue Luo, Chang Gong, Quanliang Jing, Haining Tan, Jingping Bi
2025 J jnl
Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining?
CoRR
Shuo Liu, Di Yao, Yan Lin, Gao Cong, Jingping Bi
2024 A* conf
AnomalyLLM: Few-Shot Anomaly Edge Detection for Dynamic Graphs Using Large Language Models.
ICDM
Shuo Liu, Di Yao, Lanting Fang, Zhetao Li, Wenbin Li, Kaiyu Feng, Xiaowen Ji, Jingping Bi
2024 J jnl
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models.
CoRR
Shuo Liu, Di Yao, Lanting Fang, Zhetao Li, Wenbin Li, Kaiyu Feng, Xiaowen Ji, Jingping Bi
2024 A conf
CausalMMM: Learning Causal Structure for Marketing Mix Modeling.
WSDM
Chang Gong, Di Yao, Lei Zhang, Sheng Chen, Wenbin Li, Yueyang Su, Jingping Bi
2024 J jnl
CausalMMM: Learning Causal Structure for Marketing Mix Modeling.
CoRR
Chang Gong, Di Yao, Lei Zhang, Sheng Chen, Wenbin Li, Yueyang Su, Jingping Bi
2024 A* conf
CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection.
ICDE
Wenbin Li, Di Yao, Chang Gong, Xiaokai Chu, Quanliang Jing, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Jingping Bi
2024 J jnl
CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection.
CoRR
Wenbin Li, Di Yao, Chang Gong, Xiaokai Chu, Quanliang Jing, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Jingping Bi
2024 A* conf
Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering.
ICDE
Di Yao, Jin Wang, Wenjie Chen, Fangda Guo, Peng Han, Jingping Bi
2024 J jnl
Effective and Efficient Representation Learning for Flight Trajectories.
CoRR
Shuo Liu, Wenbin Li, Di Yao, Jingping Bi
2024 J jnl
PORCA: Root Cause Analysis with Partially Observed Data.
CoRR
Chang Gong, Di Yao, Jin Wang, Wenbin Li, Lanting Fang, Yongtao Xie, Kaiyu Feng, Peng Han, Jingping Bi
2024 J jnl
STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis.
CoRR
Wenbin Li, Di Yao, Ruibo Zhao, Wenjie Chen, Zijie Xu, Chengxue Luo, Chang Gong, Quanliang Jing, Haining Tan, Jingping Bi
2024 — conf
Trajectory Completion via Context-Guided Neural Filtering and Encoding.
DASFAA (1)
Di Yao, Fangda Guo, Zhenyu Wen, Yu Guo, Peng Cheng, Yangyuan He, Jingping Bi
2023 A* conf
Causal Discovery from Temporal Data.
KDD
Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi, Lun Du, Jin Wang
2023 J jnl
Causal Discovery from Temporal Data: An Overview and New Perspectives.
CoRR
Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi
2023 J jnl
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis.
CoRR
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
2023 B conf
Few-shot learning for trajectory outlier detection with only normal trajectories.
IJCNN
Yueyang Su, Di Yao, Jingping Bi
2023 J jnl
Spatial-temporal fusion graph framework for trajectory similarity computation.
World Wide Web (WWW)
Silin Zhou, Peng Han, Di Yao, Lisi Chen, Xiangliang Zhang
2023 J jnl
Transfer Learning for Region-Wide Trajectory Outlier Detection.
IEEE Access
Yueyang Su, Di Yao, Tian Tian, Jingping Bi
2023 A* conf
TripSafe: Retrieving Safety-related Abnormal Trips in Real-time with Trajectory Data.
SIGIR
Yueyang Su, Di Yao, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Lu Bai, Jingping Bi
2022 J jnl
A Linear Time Approach to Computing Time Series Similarity Based on Deep Metric Learning.
IEEE Trans. Knowl. Data Eng.
Di Yao, Gao Cong, Chao Zhang, Xuying Meng, Rongchang Duan, Jingping Bi
2022 A conf
Can Adversarial Training benefit Trajectory Representation?: An Investigation on Robustness for Trajectory Similarity Computation.
CIKM
Quanliang Jing, Shuo Liu, Xinxin Fan, Jingwei Li, Di Yao, Baoli Wang, Jingping Bi
2022 A* conf
CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution.
KDD
Di Yao, Chang Gong, Lei Zhang, Sheng Chen, Jingping Bi
2022 J jnl
CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution.
CoRR
Di Yao, Chang Gong, Lei Zhang, Sheng Chen, Jingping Bi
2022 — conf
Contrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification.
DASFAA (1)
Xiaokai Chu, Jiashu Zhao, Xinxin Fan, Di Yao, Zhihua Zhu, Lixin Zou, Dawei Yin, Jingping Bi
2022 A* conf
Few-shot Learning for Trajectory-based Mobile Game Cheating Detection.
KDD
Yueyang Su, Di Yao, Xiaokai Chu, Wenbin Li, Jingping Bi, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng
2022 A* conf
FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection.
WWW
Wenbin Li, Xiaokai Chu, Yueyang Su, Di Yao, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng, Jingping Bi
2022 J jnl
HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction.
CoRR
Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao
2022 A* conf
TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation.
KDD
Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi
2022 — conf
Trajectory-Based Mobile Game Bots Detection with Gaussian Mixture Model.
ICANN (3)
Yueyang Su, Di Yao, Jingwei Li, Baoli Wang, Jingping Bi, Shiwei Zhao, Runze Wu, Jianrong Tao, Hao Deng
2021 A* conf
A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks.
KDD
Peng Han, Jin Wang, Di Yao, Shuo Shang, Xiangliang Zhang
2021 — conf
Deep Transfer Learning for Successive POI Recommendation.
SpatialDI
Haining Tan, Di Yao, Jingping Bi
2021 J jnl
Interactive Anomaly Detection in Dynamic Communication Networks.
IEEE/ACM Trans. Netw.
Xuying Meng, Yequan Wang, Suhang Wang, Di Yao, Yujun Zhang
2021 B conf
Meta-Learning Enhanced Neural ODE for Citywide Next POI Recommendation.
MDM
Haining Tan, Di Yao, Tao Huang, Baoli Wang, Quanliang Jing, Jingping Bi
2021 J jnl
Semi-supervised anomaly detection in dynamic communication networks.
Inf. Sci.
Xuying Meng, Suhang Wang, Zhimin Liang, Di Yao, Jihua Zhou, Yujun Zhang
2021 B conf
TRANSFAKE: Multi-task Transformer for Multimodal Enhanced Fake News Detection.
IJCNN
Quanliang Jing, Di Yao, Xinxin Fan, Baoli Wang, Haining Tan, Xiangpeng Bu, Jingping Bi
2021 — conf
TrajCross: Trajecotry Cross-Modal Retrieval with Contrastive Learning.
IEEE BigData
Quanliang Jing, Di Yao, Chang Gong, Xinxin Fan, Baoli Wang, Haining Tan, Jingping Bi
2019 A* conf
Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach.
ICDE
Di Yao, Gao Cong, Chao Zhang, Jingping Bi
2019 A* conf
Cross-Network Embedding for Multi-Network Alignment.
WWW
Xiaokai Chu, Xinxin Fan, Di Yao, Zhihua Zhu, Jianhui Huang, Jingping Bi
2019 B conf
Noise-Aware Network Embedding for Multiplex Network.
IJCNN
Xiaokai Chu, Xinxin Fan, Di Yao, Chen-Lin Zhang, Jianhui Huang, Jingping Bi
2018 J jnl
Learning deep representation for trajectory clustering.
Expert Syst. J. Knowl. Eng.
Di Yao, Chao Zhang, Zhihua Zhu, Qin Hu, Zheng Wang, Jian-Hui Huang, Jingping Bi
2018 — conf
Sub-trajectory- and Trajectory-Neighbor-based Outlier Detection over Trajectory Streams.
PAKDD (1)
Zhihua Zhu, Di Yao, Jianhui Huang, Hanqiang Li, Jingping Bi
2017 A conf
SERM: A Recurrent Model for Next Location Prediction in Semantic Trajectories.
CIKM
Di Yao, Chao Zhang, Jian-Hui Huang, Jingping Bi
2017 B conf
Trajectory clustering via deep representation learning.
IJCNN
Di Yao, Chao Zhang, Zhihua Zhu, Jian-Hui Huang, Jingping Bi
2015 B conf
A word distributed representation based framework for large-scale short text classification.
IJCNN
Di Yao, Jingping Bi, Jian-Hui Huang, Jin Zhu