Jingwei Zuo

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Incremental Learning

Human Activity Recognition

Top Venues

Publications

Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chi-Min Chan, Heyang Yu, Yaxi Lu, Yi-Hsin Hung, Chen Qian, Yujia Qin, Xin Cong, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors. ICLR (2024)
Jingwei Zuo, George Arvanitakis, Mthandazo Ndhlovu, Hakim Hacid
MAGNETO: Edge AI for Human Activity Recognition - Privacy and Personalization. EDBT (2024)
Hongpeng Tian, Zuowei Zhang, Zhunga Liu, Jingwei Zuo
Multi-oversampling with Evidence Fusion for Imbalanced Data Classification. BELIEF (2024)
Jingwei Zuo, Hakim Hacid
Re-thinking Human Activity Recognition with Hierarchy-aware Label Relationship Modeling. CoRR (2024)
Jingwei Zuo, Hakim Hacid
Re-thinking Human Activity Recognition with Hierarchy-Aware Label Relationship Modeling. PAKDD (5) (2024)
Jingwei Zuo, George Arvanitakis, Mthandazo Ndhlovu, Hakim Hacid
MAGNETO: Edge AI for Human Activity Recognition - Privacy and Personalization. CoRR (2024)
Hafsa El Hafyani, Mohammad Abboud, Jingwei Zuo, Karine Zeitouni, Yehia Taher, Basile Chaix, Limin Wang
Learning the micro-environment from rich trajectories in the context of mobile crowd sensing. GeoInformatica 28 (2) (2024)
Jingwei Zuo, Wenbin Li, Michele Baldo, Hakim Hacid
Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks. CoRR (2023)
George Arvanitakis, Jingwei Zuo, Mthandazo Ndhlovu, Hakim Hacid
Practical Insights on Incremental Learning of New Human Physical Activity on the Edge. DSAA (2023)
Jingwei Zuo, Wenbin Li, Michele Baldo, Hakim Hacid
Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF Dataset. SIGSPATIAL/GIS (2023)
Jingwei Zuo, Wenbin Li, Michele Baldo, Hakim Hacid
Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks. DSAA (2023)
Jingwei Zuo, Karine Zeitouni, Yehia Taher, Sandra Garcia-Rodriguez
Graph convolutional networks for traffic forecasting with missing values. Data Min. Knowl. Discov. 37 (2) (2023)
Jingwei Zuo, George Arvanitakis, Hakim Hacid
On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge. CoRR (2023)
Jingwei Zuo, Wenbin Li, Michele Baldo, Hakim Hacid
Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF Dataset. CoRR (2023)
Jingwei Zuo, George Arvanitakis, Hakim Hacid
On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge. EDBT (2023)
Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chen Qian, Chi-Min Chan, Yujia Qin, Yaxi Lu, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents. CoRR (2023)
George Arvanitakis, Jingwei Zuo, Mthandazo Ndhlovu, Hakim Hacid
Practical Insights on Incremental Learning of New Human Physical Activity on the Edge. CoRR (2023)
Jingwei Zuo, Karine Zeitouni, Yehia Taher, Sandra Garcia-Rodriguez
Graph Convolutional Networks for Traffic Forecasting with Missing Values. CoRR (2022)
Jingwei Zuo, Karine Zeitouni, Yehia Taher
SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series. ICDM (2021)
Jingwei Zuo, Karine Zeitouni, Yehia Taher
SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series. CoRR (2021)
Hafsa El Hafyani, Mohammad Abboud, Jingwei Zuo, Karine Zeitouni, Yehia Taher
Tell Me What Air You Breath, I Tell You Where You Are. SSTD (2021)
Mohammad Abboud, Hafsa El Hafyani, Jingwei Zuo, Karine Zeitouni, Yehia Taher
Micro-environment Recognition in the context of Environmental Crowdsensing. EDBT/ICDT Workshops (2021)
Jingwei Zuo, Karine Zeitouni, Yehia Taher
Incremental and Adaptive Feature Exploration over Time Series Stream. IEEE BigData (2019)
Jingwei Zuo, Karine Zeitouni, Yehia Taher
ISETS: Incremental Shapelet Extraction from Time Series Stream. ECML/PKDD (3) (2019)
Jingwei Zuo, Karine Zeitouni, Yehia Taher
Exploring Interpretable Features for Large Time Series with SE4TeC. EDBT (2019)
Jingwei Zuo, Karine Zeitouni, Yehia Taher
SE2TeC: A Scalable Engine for Efficient and Expressive Time Series Classification. BDCSIntell (2018)