Jingwei Zuo

According to our database, Jingwei Zuo authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning the micro-environment from rich trajectories in the context of mobile crowd sensing.

Hafsa El Hafyani, Mohammad Abboud, Jingwei Zuo, Karine Zeitouni, Yehia Taher, Basile Chaix, Limin Wang

GeoInformatica, April, 2024

DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads.

Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, Junxian Guo, Shang Yang, Haotian Tang, Yao Fu, Song Han

CoRR, 2024

Falcon Mamba: The First Competitive Attention-free 7B Language Model.

Jingwei Zuo, Maksim Velikanov, Dhia Eddine Rhaiem, Ilyas Chahed, Younes Belkada, Guillaume Kunsch, Hakim Hacid

CoRR, 2024

Re-thinking Human Activity Recognition with Hierarchy-Aware Label Relationship Modeling.

Jingwei Zuo, Hakim Hacid

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MAGNETO: Edge AI for Human Activity Recognition - Privacy and Personalization.

Jingwei Zuo, George Arvanitakis, Mthandazo Ndhlovu, Hakim Hacid

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

Multi-oversampling with Evidence Fusion for Imbalanced Data Classification.

Hongpeng Tian, Zuowei Zhang, Zhunga Liu, Jingwei Zuo

Proceedings of the Belief Functions: Theory and Applications, 2024

2023

Graph convolutional networks for traffic forecasting with missing values.

Jingwei Zuo, Karine Zeitouni, Yehia Taher, Sandra Garcia-Rodriguez

Data Min. Knowl. Discov., March, 2023

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents.

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

CoRR, 2023

Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF Dataset.

Jingwei Zuo, Wenbin Li, Michele Baldo, Hakim Hacid

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge.

Jingwei Zuo, George Arvanitakis, Hakim Hacid

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks.

Jingwei Zuo, Wenbin Li, Michele Baldo, Hakim Hacid

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Practical Insights on Incremental Learning of New Human Physical Activity on the Edge.

George Arvanitakis, Jingwei Zuo, Mthandazo Ndhlovu, Hakim Hacid

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

Representation learning and forecasting for inter-related time series. (Apprentissage de représentations et prédiction pour des séries-temporelles inter-dépendantes).

Jingwei Zuo

PhD thesis, 2022

2021

Tell Me What Air You Breath, I Tell You Where You Are.

Hafsa El Hafyani, Mohammad Abboud, Jingwei Zuo, Karine Zeitouni, Yehia Taher

Proceedings of the 17th International Symposium on Spatial and Temporal Databases, 2021

SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series.

Jingwei Zuo, Karine Zeitouni, Yehia Taher

Proceedings of the IEEE International Conference on Data Mining, 2021

Micro-environment Recognition in the context of Environmental Crowdsensing.

Mohammad Abboud, Hafsa El Hafyani, Jingwei Zuo, Karine Zeitouni, Yehia Taher

Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, 2021

2019

ISETS: Incremental Shapelet Extraction from Time Series Stream.

Jingwei Zuo, Karine Zeitouni, Yehia Taher

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Exploring Interpretable Features for Large Time Series with SE4TeC.

Jingwei Zuo, Karine Zeitouni, Yehia Taher

Proceedings of the Advances in Database Technology, 2019

Incremental and Adaptive Feature Exploration over Time Series Stream.

Jingwei Zuo, Karine Zeitouni, Yehia Taher

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

SE2TeC: A Scalable Engine for Efficient and Expressive Time Series Classification.

Jingwei Zuo, Karine Zeitouni, Yehia Taher

Proceedings of the 1st International Conference on Big Data and Cyber-Security Intelligence, 2018