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Miao Zhang

LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended Version

Feb 24, 2023
David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen

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* 15 pages. An extended version of "LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation" accepted at SIGMOD 2023

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Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs

Feb 23, 2023
Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan

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* Accepted by Proceedings of the ACM Web Conference 2023 (WWW '23)

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Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting

Nov 29, 2022
Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen

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* accepted by SIGMOD 2023

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Fair contrastive pre-training for geographic images

Nov 16, 2022
Miao Zhang, Rumi Chunara

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SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters

Oct 11, 2022
Shwai He, Liang Ding, Daize Dong, Miao Zhang, Dacheng Tao

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* Findings of EMNLP 2022

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FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity

Jun 21, 2022
Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou

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* 10 pages, to appear in ICPP'2022

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