| 2026 | AAAI | Adaptive Frequency Pathways for Spatiotemporal Forecasting. | Yanjun Qin, Yuchen Fang, Xinke Jiang, Hao Miao, Xiaoming Tao |
| 2026 | AAAI | Task-Aware Retrieval Augmentation for Dynamic Recommendation. | Zhen Tao, Xinke Jiang, Qingshuai Feng, Haoyu Zhang, Lun Du, Yuchen Fang, Hao Miao, Bangquan Xie, Qingqiang Sun |
| 2026 | ICDE | Balancing Competition for Fairness-Aware Task Recommendation and Assignment in Spatial Crowdsourcing. | Jinwen Chen, Hao Miao, Lei Jia, Guangqiang Yin, Yan Zhao, Kai Zheng |
| 2026 | WWW | VisionST: Coordinating Cross-modal Traffic Prediction with Interactive Geo-image Encoding. | Jinwen Chen, Hao Miao, Chenxi Liu, Yan Zhao, Kai Zheng |
| 2026 | WWW | UrbanMoE: A Sparse Multi-Modal Mixture-of-Experts Framework for Multi-Task Urban Region Profiling. | Pingping Liu, Jiamiao Liu, Zijian Zhang, Hao Miao, Qi Jiang, Qingliang Li, Qiuzhan Zhou, Irwin King |
| 2026 | WWW | Evolving Proxy Kills Drift: Data-Efficient Streaming Time Series Anomaly Detection. | Qing Wei, Hao Miao, Yan Zhao, Kai Zheng, Bin Yang, Volker Markl, Christian S. Jensen |
| 2026 | WWW | LLM-Enhanced Web-Centric Spatio-Temporal Intelligence: Methods, Applications, and Frontier Research. | Zijian Zhang, Hao Miao, Yuxuan Liang, Yan Zhao, Irwin King |
| 2026 | WWW | FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction. | Chengyang Zhou, Zijian Zhang, Chunxu Zhang, Hao Miao, Yulin Zhang, Kedi Lyu, Juncheng Hu |
| 2026 | SIGIR | Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning. | Xiangmeng Wang, Qian Li, Haiyang Xia, Hao Miao, Qing Li, Guandong Xu |
| 2025 | AAAI | TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment. | Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao |
| 2025 | AAAI | C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction. | Zichen Wang, Hao Miao, Senzhang Wang, Renzhi Wang, Jianxin Wang, Jian Zhang |
| 2025 | CIKM | The International Workshop on Spatio-Temporal Data Intelligence and Foundation Models. | Hao Miao, Yan Zhao, Yuxuan Liang, Bin Yang, Kai Zheng, Christian S. Jensen |
| 2025 | CIKM | Traffic Safety Evaluation Based on Macroscopic Traffic Features in Road Tunnels. | Yupu Zhang, Lei Jia, Hao Miao, Weizhu Qian, Yan Zhao, Kai Zheng |
| 2025 | DSN | MalTAG: Encrypted Malware Traffic Detection Framework via Graph Based Flow Interaction Mining. | Renjie Li, Zhou Zhou, Hao Miao, Fengyuan Shi, Qingyun Liu |
| 2025 | ICDE | Sustainability-Oriented Task Recommendation in Spatial Crowdsourcing. | Jinwen Chen, Hao Miao, Dazhuo Qiu, Jiannan Guo, Yawen Li, Yan Zhao |
| 2025 | ICDE | Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation. | Chenxi Liu, Hao Miao, Qianxiong Xu, Shaowen Zhou, Cheng Long, Yan Zhao, Ziyue Li, Rui Zhao |
| 2025 | ICDE | BSG4Bot:Efficient Bot Detection Based on Biased Heterogeneous Subgraphs. | Hao Miao, Zida Liu, Jun Gao |
| 2025 | ICDE | Federated Trajectory Similarity Learning with Privacy-Preserving Clustering. | Hao Miao, Ziqiao Liu, Yan Zhao, Kai Zheng, Yupu Zhang, Christian S. Jensen |
| 2025 | ICML | Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation. | Rihong Qiu, Xinke Jiang, Yuchen Fang, Hongbin Lai, Hao Miao, Xu Chu, Junfeng Zhao, Yasha Wang |
| 2025 | IJCAI | Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era. | Chenxi Liu, Shaowen Zhou, Qianxiong Xu, Hao Miao, Cheng Long, Ziyue Li, Rui Zhao |
| 2025 | KDD | Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning. | Kai Zhao, Zhihao Zhuang, Chenjuan Guo, Hao Miao, Christian S. Jensen, Yunyao Cheng, Bin Yang |
| 2025 | WWW | Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era. | Zijian Zhang, Hao Miao, Yuxuan Liang, Yan Zhao, Xiao Han, Pengyue Jia, Bin Yang, Christian S. Jensen |
| 2024 | ECCV | Dependency-Aware Differentiable Neural Architecture Search. | Buang Zhang, Xinle Wu, Hao Miao, Chenjuan Guo, Bin Yang |
| 2024 | ICDE | A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. | Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen |
| 2024 | ICDE | LightTR: A Lightweight Framework for Federated Trajectory Recovery. | Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li |
| 2024 | IJCAI | Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation. | Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang |
| 2024 | KDD | PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection. | Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang |
| 2023 | AAAI | AutoSTL: Automated Spatio-Temporal Multi-Task Learning. | Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang |
| 2023 | CIKM | Personalized Location-Preference Learning for Federated Task Assignment in Spatial Crowdsourcing. | Xiaolong Zhong, Hao Miao, Dazhuo Qiu, Yan Zhao, Kai Zheng |
| 2023 | DASFAA | JG2Time: A Learned Time Estimator for Join Operators Based on Heterogeneous Join-Graphs. | Hao Miao, Jiazun Chen, Yang Lin, Mo Xu, Yinjun Han, Jun Gao |
| 2023 | ISCC | Hunting for Hidden RDP-MITM: Analyzing and Detecting RDP MITM Tools Based on Network Features. | Hao Miao, Zhou Zhou, Renjie Li, Fengyuan Shi, Wei Yang, Shu Li, Qingyun Liu |
| 2022 | APWEB | MST-GNN: A Multi-scale Temporal-Enhanced Graph Neural Network for Anomaly Detection in Multivariate Time Series. | Zefei Ning, Zhuolun Jiang, Hao Miao, Li Wang |
| 2022 | CIKM | Task Assignment with Federated Preference Learning in Spatial Crowdsourcing. | Jiaxin Liu, Liwei Deng, Hao Miao, Yan Zhao, Kai Zheng |
| 2022 | CIKM | Generative-Free Urban Flow Imputation. | Senzhang Wang, Jiyue Li, Hao Miao, Junbo Zhang, Junxing Zhu, Jianxin Wang |
| 2021 | IJCAI | Multi-Channel Pooling Graph Neural Networks. | Jinlong Du, Senzhang Wang, Hao Miao, Jiaqiang Zhang |
| 2021 | SDM | MT-STNets: Multi-Task Spatial-Temporal Networks for Multi-Scale Traffic Prediction. | Senzhang Wang, Meiyue Zhang, Hao Miao, Philip S. Yu |
| 2020 | CIKM | Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction. | Senzhang Wang, Hao Miao, Hao Chen, Zhiqiu Huang |