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ORCIDJingwei Zuo
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2020 – today
- 2024
[j2]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): 177-220 (2024)- [c15]Hongpeng Tian, Zuowei Zhang, Zhunga Liu, Jingwei Zuo:
Multi-oversampling with Evidence Fusion for Imbalanced Data Classification. BELIEF 2024: 68-77 - [c14]Jingwei Zuo, George Arvanitakis, Mthandazo Ndhlovu, Hakim Hacid:
MAGNETO: Edge AI for Human Activity Recognition - Privacy and Personalization. EDBT 2024: 782-785 - [c13]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 - [c12]Jingwei Zuo, Hakim Hacid:
Re-thinking Human Activity Recognition with Hierarchy-Aware Label Relationship Modeling. PAKDD (5) 2024: 3-14 - [i11]Jingwei Zuo, George Arvanitakis, Mthandazo Ndhlovu, Hakim Hacid:
MAGNETO: Edge AI for Human Activity Recognition - Privacy and Personalization. CoRR abs/2402.07180 (2024) - [i10]Jingwei Zuo, Hakim Hacid:
Re-thinking Human Activity Recognition with Hierarchy-aware Label Relationship Modeling. CoRR abs/2403.05557 (2024) - [i9]Jingwei Zuo, Maksim Velikanov, Dhia Eddine Rhaiem, Ilyas Chahed, Younes Belkada, Guillaume Kunsch, Hakim Hacid:
Falcon Mamba: The First Competitive Attention-free 7B Language Model. CoRR abs/2410.05355 (2024) - [i8]Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, Junxian Guo, Shang Yang, Haotian Tang, Yao Fu, Song Han:
DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads. CoRR abs/2410.10819 (2024) - 2023
- [j1]Jingwei Zuo, Karine Zeitouni, Yehia Taher, Sandra Garcia-Rodriguez:
Graph convolutional networks for traffic forecasting with missing values. Data Min. Knowl. Discov. 37(2): 913-947 (2023) - [c11]George Arvanitakis, Jingwei Zuo, Mthandazo Ndhlovu, Hakim Hacid:
Practical Insights on Incremental Learning of New Human Physical Activity on the Edge. DSAA 2023: 1-4 - [c10]Jingwei Zuo, Wenbin Li, Michele Baldo, Hakim Hacid:
Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks. DSAA 2023: 1-4 - [c9]Jingwei Zuo, George Arvanitakis, Hakim Hacid:
On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge. EDBT 2023: 792-798 - [c8]Jingwei Zuo, Wenbin Li, Michele Baldo, Hakim Hacid:
Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF Dataset. SIGSPATIAL/GIS 2023: 30:1-30:4 - [i7]Jingwei Zuo, George Arvanitakis, Hakim Hacid:
On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge. CoRR abs/2302.09310 (2023) - [i6]Jingwei Zuo, Wenbin Li, Michele Baldo, Hakim Hacid:
Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF Dataset. CoRR abs/2306.13948 (2023) - [i5]Jingwei Zuo, Wenbin Li, Michele Baldo, Hakim Hacid:
Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks. CoRR abs/2307.15916 (2023) - [i4]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 abs/2308.10848 (2023) - [i3]George Arvanitakis, Jingwei Zuo, Mthandazo Ndhlovu, Hakim Hacid:
Practical Insights on Incremental Learning of New Human Physical Activity on the Edge. CoRR abs/2308.11691 (2023) - 2022
- [b1]Jingwei Zuo:
Representation learning and forecasting for inter-related time series. (Apprentissage de représentations et prédiction pour des séries-temporelles inter-dépendantes). University of Paris-Saclay, France, 2022 - [i2]Jingwei Zuo, Karine Zeitouni, Yehia Taher, Sandra Garcia-Rodriguez:
Graph Convolutional Networks for Traffic Forecasting with Missing Values. CoRR abs/2212.06419 (2022) - 2021
- [c7]Mohammad Abboud, Hafsa El Hafyani, Jingwei Zuo, Karine Zeitouni, Yehia Taher:
Micro-environment Recognition in the context of Environmental Crowdsensing. EDBT/ICDT Workshops 2021 - [c6]Jingwei Zuo, Karine Zeitouni, Yehia Taher:
SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series. ICDM 2021: 1565-1570 - [c5]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: 161-165 - [i1]Jingwei Zuo, Karine Zeitouni, Yehia Taher:
SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series. CoRR abs/2110.00578 (2021)
2010 – 2019
- 2019
- [c4]Jingwei Zuo, Karine Zeitouni, Yehia Taher:
Incremental and Adaptive Feature Exploration over Time Series Stream. IEEE BigData 2019: 593-602 - [c3]Jingwei Zuo, Karine Zeitouni, Yehia Taher:
Exploring Interpretable Features for Large Time Series with SE4TeC. EDBT 2019: 606-609 - [c2]Jingwei Zuo, Karine Zeitouni, Yehia Taher:
ISETS: Incremental Shapelet Extraction from Time Series Stream. ECML/PKDD (3) 2019: 790-793 - 2018
- [c1]Jingwei Zuo, Karine Zeitouni, Yehia Taher:
SE2TeC: A Scalable Engine for Efficient and Expressive Time Series Classification. BDCSIntell 2018: 8-11
Coauthor Index
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last updated on 2024-11-25 23:45 CET by the dblp team
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