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ORCIDDi Yao 0001
Person information
- unicode name: 姚迪
- affiliation: Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- affiliation (PhD 2019): University of Chinese Academy of Sciences, Beijing, China
Other persons with the same name
- Di Yao — disambiguation page
- Di Yao 0002 — Harbin Institute of Technology at Weihai, School of Information Science and Engineering, Weihai, China (and 1 more)
- Di Yao 0003
![[0000-0002-5629-5464]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-5629-5464")
— Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China (and 2 more) - Di Yao 0005 — Vanderbilt University, Institute of Software Integrated Systems, Nashville, TN, USA
- Di Yao 0006 — City University of Hong Kong, Future Networking Center, Hong Kong
- Di Yao 0007 — Civil Aviation Flight University of China, School of Air Traffic Management, Guanghan, China
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Journal Articles
- 2025
[j7]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: 102607 (2025)- 2023
- [j6]Yueyang Su, Di Yao, Tian Tian, Jingping Bi:
Transfer Learning for Region-Wide Trajectory Outlier Detection. IEEE Access 11: 97001-97013 (2023) - [j5]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): 1501-1523 (2023) - 2022
- [j4]Di Yao, Gao Cong, Chao Zhang, Xuying Meng, Rongchang Duan, Jingping Bi:
A Linear Time Approach to Computing Time Series Similarity Based on Deep Metric Learning. IEEE Trans. Knowl. Data Eng. 34(10): 4554-4571 (2022) - 2021
- [j3]Xuying Meng, Suhang Wang, Zhimin Liang, Di Yao, Jihua Zhou, Yujun Zhang:
Semi-supervised anomaly detection in dynamic communication networks. Inf. Sci. 571: 527-542 (2021) - [j2]Xuying Meng, Yequan Wang, Suhang Wang, Di Yao, Yujun Zhang:
Interactive Anomaly Detection in Dynamic Communication Networks. IEEE/ACM Trans. Netw. 29(6): 2602-2615 (2021) - 2018
- [j1]Di Yao, Chao Zhang, Zhihua Zhu, Qin Hu, Zheng Wang, Jian-Hui Huang, Jingping Bi:
Learning deep representation for trajectory clustering. Expert Syst. J. Knowl. Eng. 35(2) (2018)
Conference and Workshop Papers
- 2024
- [c26]Di Yao, Fangda Guo, Zhenyu Wen, Yu Guo, Peng Cheng, Yangyuan He, Jingping Bi:
Trajectory Completion via Context-Guided Neural Filtering and Encoding. DASFAA (1) 2024: 3-19 - [c25]Di Yao, Jin Wang, Wenjie Chen, Fangda Guo, Peng Han, Jingping Bi:
Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering. ICDE 2024: 4449-4462 - [c24]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: 4477-4490 - [c23]Chang Gong, Di Yao, Lei Zhang, Sheng Chen, Wenbin Li, Yueyang Su, Jingping Bi:
CausalMMM: Learning Causal Structure for Marketing Mix Modeling. WSDM 2024: 238-246 - 2023
- [c22]Yueyang Su, Di Yao, Jingping Bi:
Few-shot learning for trajectory outlier detection with only normal trajectories. IJCNN 2023: 1-8 - [c21]Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi, Lun Du, Jin Wang:
Causal Discovery from Temporal Data. KDD 2023: 5803-5804 - [c20]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: 2446-2450 - 2022
- [c19]Quanliang Jing, Shuo Liu, Xinxin Fan, Jingwei Li, Di Yao, Baoli Wang, Jingping Bi:
Can Adversarial Training benefit Trajectory Representation?: An Investigation on Robustness for Trajectory Similarity Computation. CIKM 2022: 905-914 - [c18]Xiaokai Chu, Jiashu Zhao, Xinxin Fan, Di Yao, Zhihua Zhu, Lixin Zou, Dawei Yin, Jingping Bi:
Contrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification. DASFAA (1) 2022: 722-730 - [c17]Yueyang Su, Di Yao, Jingwei Li, Baoli Wang, Jingping Bi, Shiwei Zhao, Runze Wu, Jianrong Tao, Hao Deng:
Trajectory-Based Mobile Game Bots Detection with Gaussian Mixture Model. ICANN (3) 2022: 456-468 - [c16]Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi:
TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation. KDD 2022: 2275-2285 - [c15]Yueyang Su, Di Yao, Xiaokai Chu, Wenbin Li, Jingping Bi, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng:
Few-shot Learning for Trajectory-based Mobile Game Cheating Detection. KDD 2022: 3941-3949 - [c14]Di Yao, Chang Gong, Lei Zhang, Sheng Chen, Jingping Bi:
CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution. KDD 2022: 4342-4352 - [c13]Wenbin Li, Xiaokai Chu, Yueyang Su, Di Yao, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng, Jingping Bi:
FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection. WWW 2022: 3367-3375 - 2021
- [c12]Quanliang Jing, Di Yao, Chang Gong, Xinxin Fan, Baoli Wang, Haining Tan, Jingping Bi:
TrajCross: Trajecotry Cross-Modal Retrieval with Contrastive Learning. IEEE BigData 2021: 344-349 - [c11]Quanliang Jing, Di Yao, Xinxin Fan, Baoli Wang, Haining Tan, Xiangpeng Bu, Jingping Bi:
TRANSFAKE: Multi-task Transformer for Multimodal Enhanced Fake News Detection. IJCNN 2021: 1-8 - [c10]Peng Han, Jin Wang, Di Yao, Shuo Shang, Xiangliang Zhang:
A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks. KDD 2021: 556-564 - [c9]Haining Tan, Di Yao, Tao Huang, Baoli Wang, Quanliang Jing, Jingping Bi:
Meta-Learning Enhanced Neural ODE for Citywide Next POI Recommendation. MDM 2021: 89-98 - [c8]Haining Tan, Di Yao, Jingping Bi:
Deep Transfer Learning for Successive POI Recommendation. SpatialDI 2021: 134-140 - 2019
- [c7]Di Yao, Gao Cong, Chao Zhang, Jingping Bi:
Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach. ICDE 2019: 1358-1369 - [c6]Xiaokai Chu, Xinxin Fan, Di Yao, Chen-Lin Zhang, Jianhui Huang, Jingping Bi:
Noise-Aware Network Embedding for Multiplex Network. IJCNN 2019: 1-8 - [c5]Xiaokai Chu, Xinxin Fan, Di Yao, Zhihua Zhu, Jianhui Huang, Jingping Bi:
Cross-Network Embedding for Multi-Network Alignment. WWW 2019: 273-284 - 2018
- [c4]Zhihua Zhu, Di Yao, Jianhui Huang, Hanqiang Li, Jingping Bi:
Sub-trajectory- and Trajectory-Neighbor-based Outlier Detection over Trajectory Streams. PAKDD (1) 2018: 551-563 - 2017
- [c3]Di Yao, Chao Zhang, Jian-Hui Huang, Jingping Bi:
SERM: A Recurrent Model for Next Location Prediction in Semantic Trajectories. CIKM 2017: 2411-2414 - [c2]Di Yao, Chao Zhang, Zhihua Zhu, Jian-Hui Huang, Jingping Bi:
Trajectory clustering via deep representation learning. IJCNN 2017: 3880-3887 - 2015
- [c1]Di Yao, Jingping Bi, Jian-Hui Huang, Jin Zhu:
A word distributed representation based framework for large-scale short text classification. IJCNN 2015: 1-7
Informal and Other Publications
- 2024
- [i8]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 abs/2405.07626 (2024) - [i7]Chang Gong, Di Yao, Lei Zhang, Sheng Chen, Wenbin Li, Yueyang Su, Jingping Bi:
CausalMMM: Learning Causal Structure for Marketing Mix Modeling. CoRR abs/2406.16728 (2024) - [i6]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 abs/2406.19065 (2024) - [i5]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 abs/2407.05869 (2024) - 2023
- [i4]Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi:
Causal Discovery from Temporal Data: An Overview and New Perspectives. CoRR abs/2303.10112 (2023) - [i3]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:
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. CoRR abs/2310.06119 (2023) - 2022
- [i2]Di Yao, Chang Gong, Lei Zhang, Sheng Chen, Jingping Bi:
CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution. CoRR abs/2201.00689 (2022) - [i1]Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao:
HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction. CoRR abs/2202.12713 (2022)
Coauthor Index
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