Hao Miao

67 papers A* 20A 7B 2Journal 34Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
Adaptive Frequency Pathways for Spatiotemporal Forecasting.
AAAI
Yanjun Qin, Yuchen Fang, Xinke Jiang, Hao Miao, Xiaoming Tao
2026 A* conf
Evolving Proxy Kills Drift: Data-Efficient Streaming Time Series Anomaly Detection.
WWW
Qing Wei, Hao Miao, Yan Zhao, Kai Zheng, Bin Yang, Volker Markl, Christian S. Jensen
2026 A* conf
FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction.
WWW
Chengyang Zhou, Zijian Zhang, Chunxu Zhang, Hao Miao, Yulin Zhang, Kedi Lyu, Juncheng Hu
2026 J jnl
LightTR+: A Lightweight Incremental Framework for Federated Trajectory Recovery.
IEEE Trans. Knowl. Data Eng.
Hao Miao, Ziqiao Liu, Yan Zhao, Chenxi Liu, Chenjuan Guo, Bin Yang, Kai Zheng, Huan Li, Christian S. Jensen
2026 J jnl
MM-ISTS: Cooperating Irregularly Sampled Time Series Forecasting with Multimodal Vision-Text LLMs.
CoRR
Zhi Lei, Chenxi Liu, Hao Miao, Wanghui Qiu, Bin Yang, Chenjuan Guo
2026 A* conf
Task-Aware Retrieval Augmentation for Dynamic Recommendation.
AAAI
Zhen Tao, Xinke Jiang, Qingshuai Feng, Haoyu Zhang, Lun Du, Yuchen Fang, Hao Miao, Bangquan Xie, Qingqiang Sun
2026 J jnl
Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review.
IEEE Trans. Knowl. Data Eng.
Yuchen Fang, Hao Miao, Yuxuan Liang, Liwei Deng, Yue Cui, Ximu Zeng, Yuyang Xia, Yan Zhao, Torben Bach Pedersen, Christian S. Jensen, Xiaofang Zhou, Kai Zheng
2026 A* conf
UrbanMoE: A Sparse Multi-Modal Mixture-of-Experts Framework for Multi-Task Urban Region Profiling.
WWW
Pingping Liu, Jiamiao Liu, Zijian Zhang, Hao Miao, Qi Jiang, Qingliang Li, Qiuzhan Zhou, Irwin King
2026 J jnl
UrbanMoE: A Sparse Multi-Modal Mixture-of-Experts Framework for Multi-Task Urban Region Profiling.
CoRR
Pingping Liu, Jiamiao Liu, Zijian Zhang, Hao Miao, Qi Jiang, Qingliang Li, Qiuzhan Zhou, Irwin King
2026 A* conf
VisionST: Coordinating Cross-modal Traffic Prediction with Interactive Geo-image Encoding.
WWW
Jinwen Chen, Hao Miao, Chenxi Liu, Yan Zhao, Kai Zheng
2025 J jnl
A Parameter-Efficient Federated Framework for Streaming Time Series Anomaly Detection via Lightweight Adaptation.
IEEE Trans. Mob. Comput.
Hao Miao, Ronghui Xu, Yan Zhao, Senzhang Wang, Jianxin Wang, Philip S. Yu, Christian S. Jensen
2025 J jnl
ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting.
CoRR
Jindong Tian, Yifei Ding, Ronghui Xu, Hao Miao, Chenjuan Guo, Bin Yang
2025 A* conf
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction.
AAAI
Zichen Wang, Hao Miao, Senzhang Wang, Renzhi Wang, Jianxin Wang, Jian Zhang
2025 J jnl
Deciphering Invariant Feature Decoupling in Source-free Time Series Forecasting with Proxy Denoising.
CoRR
Kangjia Yan, Chenxi Liu, Hao Miao, Xinle Wu, Yan Zhao, Chenjuan Guo, Bin Yang
2025 A* conf
Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation.
ICML
Rihong Qiu, Xinke Jiang, Yuchen Fang, Hongbin Lai, Hao Miao, Xu Chu, Junfeng Zhao, Yasha Wang
2025 A* conf
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation.
ICDE
Chenxi Liu, Hao Miao, Qianxiong Xu, Shaowen Zhou, Cheng Long, Yan Zhao, Ziyue Li, Rui Zhao
2025 J jnl
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation.
CoRR
Chenxi Liu, Hao Miao, Qianxiong Xu, Shaowen Zhou, Cheng Long, Yan Zhao, Ziyue Li, Rui Zhao
2025 A* conf
Federated Trajectory Similarity Learning with Privacy-Preserving Clustering.
ICDE
Hao Miao, Ziqiao Liu, Yan Zhao, Kai Zheng, Yupu Zhang, Christian S. Jensen
2025 B conf
LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions.
SSTD
Chenxi Liu, Hao Miao, Cheng Long, Yan Zhao, Ziyue Li, Panos Kalnis
2025 J jnl
LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions.
CoRR
Chenxi Liu, Hao Miao, Cheng Long, Yan Zhao, Ziyue Li, Panos Kalnis
2025 A* conf
Multimodal Learning for Spatio-Temporal Data Mining.
ACM Multimedia
Siru Zhong, Xixuan Hao, Hao Miao, Yan Zhao, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
2025 J jnl
STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization.
CoRR
Haoyu Zhang, Wentao Zhang, Hao Miao, Xinke Jiang, Yuchen Fang, Yifan Zhang
2025 J jnl
Spatio-Temporal Prediction on Streaming Data: A Unified Federated Continuous Learning Framework.
IEEE Trans. Knowl. Data Eng.
Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen
2025 A* conf
Sustainability-Oriented Task Recommendation in Spatial Crowdsourcing.
ICDE
Jinwen Chen, Hao Miao, Dazhuo Qiu, Jiannan Guo, Yawen Li, Yan Zhao
2025 J jnl
Task-Aware Retrieval Augmentation for Dynamic Recommendation.
CoRR
Zhen Tao, Xinke Jiang, Qingshuai Feng, Haoyu Zhang, Lun Du, Yuchen Fang, Hao Miao, Bangquan Xie, Qingqiang Sun
2025 A conf
The International Workshop on Spatio-Temporal Data Intelligence and Foundation Models.
CIKM
Hao Miao, Yan Zhao, Yuxuan Liang, Bin Yang, Kai Zheng, Christian S. Jensen
2025 A* conf
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment.
AAAI
Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao
2025 J jnl
TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting.
CoRR
Mingyuan Xia, Chunxu Zhang, Zijian Zhang, Hao Miao, Qidong Liu, Yuanshao Zhu, Bo Yang
2025 A* conf
Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era.
IJCAI
Chenxi Liu, Shaowen Zhou, Qianxiong Xu, Hao Miao, Cheng Long, Ziyue Li, Rui Zhao
2025 J jnl
Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era.
CoRR
Chenxi Liu, Shaowen Zhou, Qianxiong Xu, Hao Miao, Cheng Long, Ziyue Li, Rui Zhao
2025 A conf
Traffic Safety Evaluation Based on Macroscopic Traffic Features in Road Tunnels.
CIKM
Yupu Zhang, Lei Jia, Hao Miao, Weizhu Qian, Yan Zhao, Kai Zheng
2025 J jnl
Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review.
CoRR
Yuchen Fang, Hao Miao, Yuxuan Liang, Liwei Deng, Yue Cui, Ximu Zeng, Yuyang Xia, Yan Zhao, Torben Bach Pedersen, Christian S. Jensen, Xiaofang Zhou, Kai Zheng
2025 — conf
Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning.
KDD (2)
Kai Zhao, Zhihao Zhuang, Chenjuan Guo, Hao Miao, Christian S. Jensen, Yunyao Cheng, Bin Yang
2025 — conf
Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era.
WWW (Companion Volume)
Zijian Zhang, Hao Miao, Yuxuan Liang, Yan Zhao, Xiao Han, Pengyue Jia, Bin Yang, Christian S. Jensen
2024 A* conf
A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data.
ICDE
Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen
2024 J jnl
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data.
CoRR
Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen
2024 J jnl
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction.
CoRR
Zichen Wang, Hao Miao, Senzhang Wang, Renzhi Wang, Jianxin Wang, Jian Zhang
2024 J jnl
Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction.
CoRR
Hao Miao, Senzhang Wang, Meiyue Zhang, Diansheng Guo, Funing Sun, Fan Yang
2024 — conf
Dependency-Aware Differentiable Neural Architecture Search.
ECCV (55)
Buang Zhang, Xinle Wu, Hao Miao, Chenjuan Guo, Bin Yang
2024 J jnl
Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching-Extended Version.
CoRR
Hao Miao, Ziqiao Liu, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen
2024 J jnl
Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching.
Proc. VLDB Endow.
Hao Miao, Ziqiao Liu, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen
2024 A* conf
LightTR: A Lightweight Framework for Federated Trajectory Recovery.
ICDE
Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li
2024 J jnl
LightTR: A Lightweight Framework for Federated Trajectory Recovery.
CoRR
Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li
2024 A* conf
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection.
KDD
Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang
2024 J jnl
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection.
CoRR
Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang
2024 J jnl
Resisting TUL attack: balancing data privacy and utility on trajectory via collaborative adversarial learning.
GeoInformatica
Yandi Lun, Hao Miao, Jiaxing Shen, Renzhi Wang, Xiang Wang, Senzhang Wang
2024 A* conf
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation.
IJCAI
Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang
2024 J jnl
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation.
CoRR
Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang
2024 J jnl
Task Assignment With Efficient Federated Preference Learning in Spatial Crowdsourcing.
IEEE Trans. Knowl. Data Eng.
Hao Miao, Xiaolong Zhong, Jiaxin Liu, Yan Zhao, Xiangyu Zhao, Weizhu Qian, Kai Zheng, Christian S. Jensen
2024 J jnl
TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment.
CoRR
Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao
2024 J jnl
Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning.
CoRR
Kai Zhao, Zhihao Zhuang, Chenjuan Guo, Hao Miao, Yunyao Cheng, Bin Yang
2023 A* conf
AutoSTL: Automated Spatio-Temporal Multi-Task Learning.
AAAI
Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang
2023 J jnl
AutoSTL: Automated Spatio-Temporal Multi-Task Learning.
CoRR
Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang
2023 J jnl
Fine-Grained Urban Flow Inference With Incomplete Data.
IEEE Trans. Knowl. Data Eng.
Jiyue Li, Senzhang Wang, Jiaqiang Zhang, Hao Miao, Junbo Zhang, Philip S. Yu
2023 J jnl
MBA-STNet: Bayes-Enhanced Discriminative Multi-Task Learning for Flow Prediction.
IEEE Trans. Knowl. Data Eng.
Hao Miao, Jiaxing Shen, Jiannong Cao, Jiangnan Xia, Senzhang Wang
2023 A conf
Personalized Location-Preference Learning for Federated Task Assignment in Spatial Crowdsourcing.
CIKM
Xiaolong Zhong, Hao Miao, Dazhuo Qiu, Yan Zhao, Kai Zheng
2023 J jnl
Traffic Accident Risk Prediction via Multi-View Multi-Task Spatio-Temporal Networks.
IEEE Trans. Knowl. Data Eng.
Senzhang Wang, Jiaqiang Zhang, Jiyue Li, Hao Miao, Jiannong Cao
2022 J jnl
Deep learning based origin-destination prediction via contextual information fusion.
Multim. Tools Appl.
Hao Miao, Yan Fei, Senzhang Wang, Fang Wang, Danyan Wen
2022 A conf
Generative-Free Urban Flow Imputation.
CIKM
Senzhang Wang, Jiyue Li, Hao Miao, Junbo Zhang, Junxing Zhu, Jianxin Wang
2022 — conf
Multi-task Adversarial Learning for Semi-supervised Trajectory-User Linking.
ECML/PKDD (4)
Sen Zhang, Senzhang Wang, Xiang Wang, Shigeng Zhang, Hao Miao, Junxing Zhu
2022 J jnl
Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction.
ACM Trans. Intell. Syst. Technol.
Senzhang Wang, Meiyue Zhang, Hao Miao, Zhaohui Peng, Philip S. Yu
2022 J jnl
Spatio-Temporal Knowledge Transfer for Urban Crowd Flow Prediction via Deep Attentive Adaptation Networks.
IEEE Trans. Intell. Transp. Syst.
Senzhang Wang, Hao Miao, Jiyue Li, Jiannong Cao
2022 A conf
Task Assignment with Federated Preference Learning in Spatial Crowdsourcing.
CIKM
Jiaxin Liu, Liwei Deng, Hao Miao, Yan Zhao, Kai Zheng
2021 A conf
MT-STNets: Multi-Task Spatial-Temporal Networks for Multi-Scale Traffic Prediction.
SDM
Senzhang Wang, Meiyue Zhang, Hao Miao, Philip S. Yu
2021 A* conf
Multi-Channel Pooling Graph Neural Networks.
IJCAI
Jinlong Du, Senzhang Wang, Hao Miao, Jiaqiang Zhang
2020 A conf
Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction.
CIKM
Senzhang Wang, Hao Miao, Hao Chen, Zhiqiu Huang
2020 B conf
Recursive LSTM with Shift Embedding for Online User-Item Interaction Prediction.
CLOUD
Chengyu Yin, Senzhang Wang, Hao Miao