| 2025 | ICLR | 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 |
| 2024 | EDBT | MAGNETO: Edge AI for Human Activity Recognition - Privacy and Personalization. | Jingwei Zuo, George Arvanitakis, Mthandazo Ndhlovu, Hakim Hacid |
| 2024 | ICLR | 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 |
| 2024 | PAKDD | Re-thinking Human Activity Recognition with Hierarchy-Aware Label Relationship Modeling. | Jingwei Zuo, Hakim Hacid |
| 2023 | DSAA | Practical Insights on Incremental Learning of New Human Physical Activity on the Edge. | George Arvanitakis, Jingwei Zuo, Mthandazo Ndhlovu, Hakim Hacid |
| 2023 | DSAA | Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks. | Jingwei Zuo, Wenbin Li, Michele Baldo, Hakim Hacid |
| 2023 | EDBT | On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge. | Jingwei Zuo, George Arvanitakis, Hakim Hacid |
| 2021 | EDBT | Micro-environment Recognition in the context of Environmental Crowdsensing. | Mohammad Abboud, Hafsa El Hafyani, Jingwei Zuo, Karine Zeitouni, Yehia Taher |
| 2021 | ICDM | SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series. | Jingwei Zuo, Karine Zeitouni, Yehia Taher |
| 2019 | EDBT | Exploring Interpretable Features for Large Time Series with SE4TeC. | Jingwei Zuo, Karine Zeitouni, Yehia Taher |