Hao Miao

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 17

Top Topics

Multivariate Time Series

Gaussian Processes

Multitask Learning

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen
A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. ICDE (2024)
Yandi Lun, Hao Miao, Jiaxing Shen, Renzhi Wang, Xiang Wang, Senzhang Wang
Resisting TUL attack: balancing data privacy and utility on trajectory via collaborative adversarial learning. GeoInformatica 28 (3) (2024)
Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao
TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment. CoRR (2024)
Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation. CoRR (2024)
Hao Miao, Xiaolong Zhong, Jiaxin Liu, Yan Zhao, Xiangyu Zhao, Weizhu Qian, Kai Zheng, Christian S. Jensen
Task Assignment With Efficient Federated Preference Learning in Spatial Crowdsourcing. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection. CoRR (2024)
Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li
LightTR: A Lightweight Framework for Federated Trajectory Recovery. CoRR (2024)
Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection. KDD (2024)
Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. CoRR (2024)
Hao Miao, Senzhang Wang, Meiyue Zhang, Diansheng Guo, Funing Sun, Fan Yang
Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction. CoRR (2024)
Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li
LightTR: A Lightweight Framework for Federated Trajectory Recovery. ICDE (2024)
Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang
AutoSTL: Automated Spatio-Temporal Multi-Task Learning. CoRR (2023)
Senzhang Wang, Jiaqiang Zhang, Jiyue Li, Hao Miao, Jiannong Cao
Traffic Accident Risk Prediction via Multi-View Multi-Task Spatio-Temporal Networks. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Hao Miao, Jiaxing Shen, Jiannong Cao, Jiangnan Xia, Senzhang Wang
MBA-STNet: Bayes-Enhanced Discriminative Multi-Task Learning for Flow Prediction. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Jiyue Li, Senzhang Wang, Jiaqiang Zhang, Hao Miao, Junbo Zhang, Philip S. Yu
Fine-Grained Urban Flow Inference With Incomplete Data. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang
AutoSTL: Automated Spatio-Temporal Multi-Task Learning. AAAI (2023)
Xiaolong Zhong, Hao Miao, Dazhuo Qiu, Yan Zhao, Kai Zheng
Personalized Location-Preference Learning for Federated Task Assignment in Spatial Crowdsourcing. CIKM (2023)