SE2TeC: A Scalable Engine for Efficient and Expressive Time Series Classification. - Jingwei Zuo; Karine Zeitouni; Yehia Taher (BDCSIntell, 2018)

Incremental and Adaptive Feature Exploration over Time Series Stream. - Jingwei Zuo; Karine Zeitouni; Yehia Taher (IEEE BigData, 2019)

Exploring Interpretable Features for Large Time Series with SE4TeC. - Jingwei Zuo; Karine Zeitouni; Yehia Taher (EDBT, 2019)

ISETS: Incremental Shapelet Extraction from Time Series Stream. - Jingwei Zuo; Karine Zeitouni; Yehia Taher (ECML/PKDD (3), 2019)

Micro-environment Recognition in the context of Environmental Crowdsensing. - Mohammad Abboud; Hafsa El Hafyani; Jingwei Zuo; Karine Zeitouni; Yehia Taher (EDBT/ICDT Workshops, 2021)

SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series. - Jingwei Zuo; Karine Zeitouni; Yehia Taher (ICDM, 2021)

Tell Me What Air You Breath, I Tell You Where You Are. - Hafsa El Hafyani; Mohammad Abboud; Jingwei Zuo; Karine Zeitouni; Yehia Taher (SSTD, 2021)

Representation learning and forecasting for inter-related time series. (Apprentissage de représentations et prédiction pour des séries-temporelles inter-dépendantes). - Jingwei Zuo (2022)

Practical Insights on Incremental Learning of New Human Physical Activity on the Edge. - George Arvanitakis; Jingwei Zuo; Mthandazo Ndhlovu; Hakim Hacid (DSAA, 2023)

Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks. - Jingwei Zuo; Wenbin Li; Michele Baldo; Hakim Hacid (DSAA, 2023)

On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge. - Jingwei Zuo; George Arvanitakis; Hakim Hacid (EDBT, 2023)

Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF Dataset. - Jingwei Zuo; Wenbin Li; Michele Baldo; Hakim Hacid (SIGSPATIAL/GIS, 2023)

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents. - Weize Chen; Yusheng Su; Jingwei Zuo; Cheng Yang 002; Chenfei Yuan; Chen Qian; Chi-Min Chan; Yujia Qin; Yaxi Lu; Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001; et al. (CoRR, 2023)

Graph convolutional networks for traffic forecasting with missing values. - Jingwei Zuo; Karine Zeitouni; Yehia Taher; Sandra Garcia-Rodriguez (Data Min. Knowl. Discov., 2023)

Multi-oversampling with Evidence Fusion for Imbalanced Data Classification. - Hongpeng Tian; Zuowei Zhang 001; Zhunga Liu; Jingwei Zuo (BELIEF, 2024)

MAGNETO: Edge AI for Human Activity Recognition - Privacy and Personalization. - Jingwei Zuo; George Arvanitakis; Mthandazo Ndhlovu; Hakim Hacid (EDBT, 2024)

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors. - Weize Chen; Yusheng Su; Jingwei Zuo; Cheng Yang 002; Chenfei Yuan; Chi-Min Chan; Heyang Yu; Yaxi Lu; Yi-Hsin Hung; Chen Qian; Yujia Qin; Xin Cong; et al. (ICLR, 2024)

Re-thinking Human Activity Recognition with Hierarchy-Aware Label Relationship Modeling. - Jingwei Zuo; Hakim Hacid (PAKDD (5), 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)

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, 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 003 (ICLR, 2025)

Distribution assessment-based multiple over-sampling with evidence fusion for imbalanced data classification. - Hongpeng Tian; Zuowei Zhang 001; Zhunga Liu; Jingwei Zuo; Caixing Yang (Int. J. Approx. Reason., 2025)

NeurIPS 2025 E2LM Competition : Early Training Evaluation of Language Models. - Mouadh Yagoubi; Yasser Dahou; Billel Mokeddem; Younes Belkada; Phuc H. Le-Khac; Basma El Amel Boussaha; Réda Alami; Jingwei Zuo; Damiano Marsili; Mugariya Farooq; Mounia Lalmas; Georgia Gkioxari; et al. (CoRR, 2025)

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance. - Jingwei Zuo; Maksim Velikanov; Ilyas Chahed; Younes Belkada; Dhia Eddine Rhayem; Guillaume Kunsch; Hakim Hacid; Hamza Yous; Brahim Farhat; Ibrahim Khadraoui; Mugariya Farooq; Giulia Campesan; et al. (CoRR, 2025)