Miao, Hao

12 publications

AAAI 2025 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

ICML 2025 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

NeurIPS 2025 SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation Yinghui Liu, Hao Miao, Guojiang Shen, Yan Zhao, Xiangjie Kong, Ivan Lee

NeurIPS 2025 STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization Haoyu Zhang, WentaoZhang, Hao Miao, Xinke Jiang, Yuchen Fang, Yifan Zhang

AAAI 2025 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

NeurIPS 2025 TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting Mingyuan Xia, Chunxu Zhang, Zijian Zhang, Hao Miao, Qidong Liu, Yuanshao Zhu, Bo Yang

IJCAI 2025 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

ECCV 2024 Dependency-Aware Differentiable Neural Architecture Search Buang Zhang, Xinle Wu, Hao Miao, Bin Yang, Chenjuan Guo

IJCAI 2024 Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang

AAAI 2023 AutoSTL: Automated Spatio-Temporal Multi-Task Learning Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang

ECML-PKDD 2022 Multi-Task Adversarial Learning for Semi-Supervised Trajectory-User Linking Sen Zhang, Senzhang Wang, Xiang Wang, Shigeng Zhang, Hao Miao, Junxing Zhu

IJCAI 2021 Multi-Channel Pooling Graph Neural Networks Jinlong Du, Senzhang Wang, Hao Miao, Jiaqiang Zhang