| 2026 | ICDE | 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 |
| 2026 | KDD | Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining? | Shuo Liu, Di Yao, Yan Lin, Gao Cong, Jingping Bi |
| 2025 | AAAI | Effective and Efficient Representation Learning for Flight Trajectories. | Shuo Liu, Wenbin Li, Di Yao, Jingping Bi |
| 2025 | WWW | 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 |
| 2024 | DASFAA | Trajectory Completion via Context-Guided Neural Filtering and Encoding. | Di Yao, Fangda Guo, Zhenyu Wen, Yu Guo, Peng Cheng, Yangyuan He, Jingping Bi |
| 2024 | ICDE | Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering. | Di Yao, Jin Wang, Wenjie Chen, Fangda Guo, Peng Han, Jingping Bi |
| 2024 | ICDE | 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 |
| 2024 | ICDM | 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 |
| 2024 | IGARSS | Evaluation of the Deformation Measurement Efficacy of GNSS-Based InBSAR in Vegetated Areas: Preliminary Assessments. | Xiyue Zeng, Feifeng Liu, Di Yao, Xiaojing Wu |
| 2024 | WSDM | CausalMMM: Learning Causal Structure for Marketing Mix Modeling. | Chang Gong, Di Yao, Lei Zhang, Sheng Chen, Wenbin Li, Yueyang Su, Jingping Bi |
| 2023 | IJCNN | Few-shot learning for trajectory outlier detection with only normal trajectories. | Yueyang Su, Di Yao, Jingping Bi |
| 2023 | KDD | Causal Discovery from Temporal Data. | Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi, Lun Du, Jin Wang |
| 2023 | SIGIR | 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 |
| 2022 | CIKM | 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 |
| 2022 | DASFAA | 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 |
| 2022 | ICANN | 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 |
| 2022 | KDD | 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 |
| 2022 | KDD | CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution. | Di Yao, Chang Gong, Lei Zhang, Sheng Chen, Jingping Bi |
| 2022 | KDD | 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 |
| 2022 | WWW | 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 |
| 2021 | IJCNN | TRANSFAKE: Multi-task Transformer for Multimodal Enhanced Fake News Detection. | Quanliang Jing, Di Yao, Xinxin Fan, Baoli Wang, Haining Tan, Xiangpeng Bu, Jingping Bi |
| 2021 | KDD | A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks. | Peng Han, Jin Wang, Di Yao, Shuo Shang, Xiangliang Zhang |
| 2021 | MDM | Meta-Learning Enhanced Neural ODE for Citywide Next POI Recommendation. | Haining Tan, Di Yao, Tao Huang, Baoli Wang, Quanliang Jing, Jingping Bi |
| 2019 | ICDE | Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach. | Di Yao, Gao Cong, Chao Zhang, Jingping Bi |
| 2019 | IJCNN | Noise-Aware Network Embedding for Multiplex Network. | Xiaokai Chu, Xinxin Fan, Di Yao, Chen-Lin Zhang, Jianhui Huang, Jingping Bi |
| 2019 | WWW | Cross-Network Embedding for Multi-Network Alignment. | Xiaokai Chu, Xinxin Fan, Di Yao, Zhihua Zhu, Jianhui Huang, Jingping Bi |
| 2018 | PAKDD | Sub-trajectory- and Trajectory-Neighbor-based Outlier Detection over Trajectory Streams. | Zhihua Zhu, Di Yao, Jianhui Huang, Hanqiang Li, Jingping Bi |
| 2017 | CIKM | SERM: A Recurrent Model for Next Location Prediction in Semantic Trajectories. | Di Yao, Chao Zhang, Jian-Hui Huang, Jingping Bi |
| 2017 | IJCNN | Trajectory clustering via deep representation learning. | Di Yao, Chao Zhang, Zhihua Zhu, Jian-Hui Huang, Jingping Bi |
| 2017 | SmartComp | Towards an MCDM-Based Evaluation Framework for Regression Algorithms. | Di Yao, Kevin Kam Fung Yuen |
| 2015 | IJCNN | A word distributed representation based framework for large-scale short text classification. | Di Yao, Jingping Bi, Jian-Hui Huang, Jin Zhu |
| 2011 | INFOCOM | DragonNet: A robust mobile Internet service system for long distance trains. | Fung Po Tso, Lin Cui, Lizhuo Zhang, Weijia Jia, Di Yao, Jin Teng, Dong Xuan |