Recursive LSTM with Shift Embedding for Online User-Item Interaction Prediction. - Chengyu Yin; Senzhang Wang; Hao Miao 001 (CLOUD, 2020)

Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction. - Senzhang Wang; Hao Miao 001; Hao Chen 062; Zhiqiu Huang (CIKM, 2020)

Multi-Channel Pooling Graph Neural Networks. - Jinlong Du; Senzhang Wang; Hao Miao 001; Jiaqiang Zhang (IJCAI, 2021)

MT-STNets: Multi-Task Spatial-Temporal Networks for Multi-Scale Traffic Prediction. - Senzhang Wang; Meiyue Zhang; Hao Miao 001; Philip S. Yu (SDM, 2021)

Task Assignment with Federated Preference Learning in Spatial Crowdsourcing. - Jiaxin Liu; Liwei Deng 001; Hao Miao 001; Yan Zhao 008; Kai Zheng 001 (CIKM, 2022)

Generative-Free Urban Flow Imputation. - Senzhang Wang; Jiyue Li; Hao Miao 001; Junbo Zhang; Junxing Zhu; Jianxin Wang 001 (CIKM, 2022)

Multi-task Adversarial Learning for Semi-supervised Trajectory-User Linking. - Sen Zhang; Senzhang Wang; Xiang Wang 015; Shigeng Zhang; Hao Miao 001; Junxing Zhu (ECML/PKDD (4), 2022)

Deep learning based origin-destination prediction via contextual information fusion. - Hao Miao 001; Yan Fei; Senzhang Wang; Fang Wang 019; Danyan Wen (Multim. Tools Appl., 2022)

Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction. - Senzhang Wang; Meiyue Zhang; Hao Miao 001; Zhaohui Peng; Philip S. Yu (ACM Trans. Intell. Syst. Technol., 2022)

Spatio-Temporal Knowledge Transfer for Urban Crowd Flow Prediction via Deep Attentive Adaptation Networks. - Senzhang Wang; Hao Miao 001; Jiyue Li; Jiannong Cao 001 (IEEE Trans. Intell. Transp. Syst., 2022)

AutoSTL: Automated Spatio-Temporal Multi-Task Learning. - Zijian Zhang 009; Xiangyu Zhao 001; Hao Miao 001; Chunxu Zhang; Hongwei Zhao; Junbo Zhang (AAAI, 2023)

Personalized Location-Preference Learning for Federated Task Assignment in Spatial Crowdsourcing. - Xiaolong Zhong; Hao Miao 001; Dazhuo Qiu; Yan Zhao 008; Kai Zheng 001 (CIKM, 2023)

Fine-Grained Urban Flow Inference With Incomplete Data. - Jiyue Li; Senzhang Wang; Jiaqiang Zhang; Hao Miao 001; Junbo Zhang; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

MBA-STNet: Bayes-Enhanced Discriminative Multi-Task Learning for Flow Prediction. - Hao Miao 001; Jiaxing Shen; Jiannong Cao 001; Jiangnan Xia; Senzhang Wang (IEEE Trans. Knowl. Data Eng., 2023)

Traffic Accident Risk Prediction via Multi-View Multi-Task Spatio-Temporal Networks. - Senzhang Wang; Jiaqiang Zhang; Jiyue Li; Hao Miao 001; Jiannong Cao 001 (IEEE Trans. Knowl. Data Eng., 2023)

Dependency-Aware Differentiable Neural Architecture Search. - Buang Zhang; Xinle Wu; Hao Miao 001; Chenjuan Guo; Bin Yang 002 (ECCV (55), 2024)

A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. - Hao Miao 001; Yan Zhao 008; Chenjuan Guo; Bin Yang 002; Kai Zheng 001; Feiteng Huang; Jiandong Xie; Christian S. Jensen (ICDE, 2024)

LightTR: A Lightweight Framework for Federated Trajectory Recovery. - Ziqiao Liu; Hao Miao 001; Yan Zhao 008; Chenxi Liu 003; Kai Zheng 001; Huan Li 003 (ICDE, 2024)

Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation. - Shunyang Zhang; Senzhang Wang; Hao Miao 001; Hao Chen 062; Changjun Fan; Jian Zhang 048 (IJCAI, 2024)

PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection. - Ronghui Xu 003; Hao Miao 001; Senzhang Wang; Philip S. Yu; Jianxin Wang 001 (KDD, 2024)

Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction. - Hao Miao 001; Senzhang Wang; Meiyue Zhang; Diansheng Guo; Funing Sun; Fan Yang (CoRR, 2024)

TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment. - Chenxi Liu 003; Qianxiong Xu; Hao Miao 001; Sun Yang; Lingzheng Zhang; Cheng Long 001; Ziyue Li 002; Rui Zhao 001 (CoRR, 2024)

Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning. - Kai Zhao 009; Zhihao Zhuang; Chenjuan Guo; Hao Miao 001; Yunyao Cheng 001; Bin Yang 002 (CoRR, 2024)

Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching-Extended Version. - Hao Miao 001; Ziqiao Liu; Yan Zhao 008; Chenjuan Guo; Bin Yang 002; Kai Zheng 001; Christian S. Jensen (CoRR, 2024)

Task Assignment With Efficient Federated Preference Learning in Spatial Crowdsourcing. - Hao Miao 001; Xiaolong Zhong; Jiaxin Liu; Yan Zhao 008; Xiangyu Zhao 001; Weizhu Qian; Kai Zheng 001; Christian S. Jensen (IEEE Trans. Knowl. Data Eng., 2024)

Resisting TUL attack: balancing data privacy and utility on trajectory via collaborative adversarial learning. - Yandi Lun; Hao Miao 001; Jiaxing Shen; Renzhi Wang; Xiang Wang 015; Senzhang Wang (GeoInformatica, 2024)

Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching. - Hao Miao 001; Ziqiao Liu; Yan Zhao 008; Chenjuan Guo; Bin Yang 002; Kai Zheng 001; Christian S. Jensen (Proc. VLDB Endow., 2024)

TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment. - Chenxi Liu 003; Qianxiong Xu; Hao Miao 001; Sun Yang; Lingzheng Zhang; Cheng Long 001; Ziyue Li 002; Rui Zhao 001 (AAAI, 2025)

C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction. - Zichen Wang; Hao Miao 001; Senzhang Wang; Renzhi Wang; Jianxin Wang; Jian Zhang (AAAI, 2025)

Sustainability-Oriented Task Recommendation in Spatial Crowdsourcing. - Jinwen Chen; Hao Miao 001; Dazhuo Qiu; Jiannan Guo 001; Yawen Li 001; Yan Zhao 008 (ICDE, 2025)

Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation. - Chenxi Liu 003; Hao Miao 001; Qianxiong Xu; Shaowen Zhou; Cheng Long 001; Yan Zhao 008; Ziyue Li 002; Rui Zhao 001 (ICDE, 2025)

Federated Trajectory Similarity Learning with Privacy-Preserving Clustering. - Hao Miao 001; Ziqiao Liu; Yan Zhao 008; Kai Zheng 001; Yupu Zhang; Christian S. Jensen (ICDE, 2025)

Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era. - Zijian Zhang 009; Hao Miao 001; Yuxuan Liang; Yan Zhao 008; Xiao Han 004; Pengyue Jia; Bin Yang 002; Christian S. Jensen (WWW (Companion Volume), 2025)

Spatio-Temporal Prediction on Streaming Data: A Unified Federated Continuous Learning Framework. - Hao Miao 001; Yan Zhao 008; Chenjuan Guo; Bin Yang 002; Kai Zheng 001; Christian S. Jensen (IEEE Trans. Knowl. Data Eng., 2025)

Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era. - Chenxi Liu 003; Shaowen Zhou; Qianxiong Xu; Hao Miao 001; Cheng Long 001; Ziyue Li 002; Rui Zhao 001 (CoRR, 2025)

STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization. - Haoyu Zhang; Wentao Zhang 008; Hao Miao 001; Xinke Jiang; Yuchen Fang 001; Yifan Zhang (CoRR, 2025)

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review. - Yuchen Fang 001; Hao Miao 001; Yuxuan Liang; Liwei Deng 001; Yue Cui 001; Ximu Zeng; Yuyang Xia; Yan Zhao 008; Torben Bach Pedersen; Christian S. Jensen; Xiaofang Zhou 001; Kai Zheng 001 (CoRR, 2025)

LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions. - Chenxi Liu 003; Hao Miao 001; Cheng Long 001; Yan Zhao 008; Ziyue Li 002; Panos Kalnis (CoRR, 2025)

A Parameter-Efficient Federated Framework for Streaming Time Series Anomaly Detection via Lightweight Adaptation. - Hao Miao 001; Ronghui Xu 003; Yan Zhao 008; Senzhang Wang; Jianxin Wang 001; Philip S. Yu; Christian S. Jensen (IEEE Trans. Mob. Comput., 2025)