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Hao Miao

TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting
2025 · Mingyuan Xia, Chunxu Zhang, et al. · neural information processing systems · 2
Adaptive Frequency Pathways for Spatiotemporal Forecasting
2026 · Yanjun Qin, Yuchen Fang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1
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SemPSG: A Semantic Channel-Aware Foundation Model for Polysomnography Analysis
2026 · Chen, Junyu, Liu, Chenxi, et al. · arXiv (Cornell University)
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Efficient Multimodal Generative Recommendation with Latent Narrative Reasoning
2026 · Wang, Chenxing, Zheng, Nantao, et al. · arXiv (Cornell University)
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DGCPath: Distribution-Aware Generative Contrastive Framework for Self-supervised Path Representation Learning -- Extended Version
2026 · Yang, Sean Bin, Miao, Hao, et al. · arXiv (Cornell University)
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FreSH: Frequency-Segmented Hierarchical Multi-Expert Framework for Multivariate Time Series Classification
2026 · Pingping Liu, Muyao Wang, et al. · International Joint Conference on Artificial Intelligence
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DGCPath: Distribution-Aware Generative Contrastive Framework for Self-supervised Path Representation Learning
2026 · Sean Bin Yang, Hao Miao, et al. · International Joint Conference on Artificial Intelligence
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From Diversity to Uniformity: Cross-modal Time Series Modeling with Dependent Channel Grouping
2026 · Minjun Cao, Hao Miao, et al. · International Joint Conference on Artificial Intelligence
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ORBITER: Conflict-Aware Decision-Making for Agentic Last-Mile Delivery
2026 · Li, Mingzhao, Liu, Chenxi, et al. · arXiv (Cornell University)
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ViTexSZ: Heterogeneous Vision-Text Knowledge Distillation for EEG Seizure Detection
2026 · Liu, Chenxi, Li, Mingzhao, et al. · arXiv (Cornell University)
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TRACE: State-Aware Query Processing over Temporal Evidence Graphs for Conversational Data
2026 · Wang, Maolin, Wang, Yu, et al. · arXiv (Cornell University)
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TS-Fault: Benchmarking Time Series Forecasters Against Structural Faults
2026 · Zhao, Yuyang, Xu, Lian, et al. · arXiv (Cornell University)
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Task-Aware Retrieval Augmentation for Dynamic Recommendation
2026 · Zhen Tao, Xinke Jiang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
MM-ISTS: Cooperating Irregularly Sampled Time Series Forecasting with Multimodal Vision-Text LLMs
2026 · Lei, Zhi, Liu, Chenxi, et al. · arXiv (Cornell University)
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Pattern in Motion: Retrieval-Augmented Learning for Dynamic Spatio-Temporal Graphs
2026 · Haoyu Zhang, Xinke Jiang, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence
Works count: 16
Citation count: 3
H-index: 1
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