Jingwei Zuo - RankMe

36 papers A* 3B 6Journal 19Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aggregation-based self-supervised evidential clustering for imbalanced data. Inf. Fusion Zuowei Zhang, Hongpeng Tian, Jingwei Zuo, Weiping Ding
2026	J	`jnl`	Learnable Multipliers: Freeing the Scale of Language Model Matrix Layers. CoRR Maksim Velikanov, Ilyas Chahed, Jingwei Zuo, Dhia Eddine Rhaiem, Younes Belkada, Hakim Hacid
2025	J	`jnl`	An Efficient and Adaptive Watermark Detection System with Tile-based Error Correction. CoRR Xinrui Zhong, Xinze Feng, Jingwei Zuo, Fanjiang Ye, Yi Mu, Junfeng Guo, Heng Huang, Myungjin Lee, Yuke Wang
2025	J	`jnl`	Distribution assessment-based multiple over-sampling with evidence fusion for imbalanced data classification. Int. J. Approx. Reason. Hongpeng Tian, Zuowei Zhang, Zhunga Liu, Jingwei Zuo, Caixing Yang
2025	A*	`conf`	DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads. ICLR Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, Junxian Guo, Shang Yang, Haotian Tang, Yao Fu, Song Han
2025	J	`jnl`	Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance. CoRR 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, Ruxandra Cojocaru, Yasser Dahou, Shi Hu, Iheb Chaabane, Puneesh Khanna, Mohamed El Amine Seddik, Ngoc Dung Huynh, Phuc H. Le-Khac, Leen Al Qadi, Billel Mokeddem, Mohamed Chami, Abdalgader Abubaker, Mikhail Lubinets, Kacper Piskorski, Slim Frikha
2025	J	`jnl`	NeurIPS 2025 E2LM Competition : Early Training Evaluation of Language Models. CoRR 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, Patrick Gallinari, Philip Torr, Hakim Hacid
2024	A*	`conf`	AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors. ICLR 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	J	`jnl`	DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads. CoRR Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, Junxian Guo, Shang Yang, Haotian Tang, Yao Fu, Song Han
2024	J	`jnl`	Falcon Mamba: The First Competitive Attention-free 7B Language Model. CoRR Jingwei Zuo, Maksim Velikanov, Dhia Eddine Rhaiem, Ilyas Chahed, Younes Belkada, Guillaume Kunsch, Hakim Hacid
2024	J	`jnl`	Learning the micro-environment from rich trajectories in the context of mobile crowd sensing. GeoInformatica Hafsa El Hafyani, Mohammad Abboud, Jingwei Zuo, Karine Zeitouni, Yehia Taher, Basile Chaix, Limin Wang
2024	B	`conf`	MAGNETO: Edge AI for Human Activity Recognition - Privacy and Personalization. EDBT Jingwei Zuo, George Arvanitakis, Mthandazo Ndhlovu, Hakim Hacid
2024	J	`jnl`	MAGNETO: Edge AI for Human Activity Recognition - Privacy and Personalization. CoRR Jingwei Zuo, George Arvanitakis, Mthandazo Ndhlovu, Hakim Hacid
2024	—	`conf`	Multi-oversampling with Evidence Fusion for Imbalanced Data Classification. BELIEF Hongpeng Tian, Zuowei Zhang, Zhunga Liu, Jingwei Zuo
2024	—	`conf`	Re-thinking Human Activity Recognition with Hierarchy-Aware Label Relationship Modeling. PAKDD (5) Jingwei Zuo, Hakim Hacid
2024	J	`jnl`	Re-thinking Human Activity Recognition with Hierarchy-aware Label Relationship Modeling. CoRR Jingwei Zuo, Hakim Hacid
2023	J	`jnl`	AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents. CoRR 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
2023	J	`jnl`	Graph convolutional networks for traffic forecasting with missing values. Data Min. Knowl. Discov. Jingwei Zuo, Karine Zeitouni, Yehia Taher, Sandra Garcia-Rodriguez
2023	B	`conf`	On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge. EDBT Jingwei Zuo, George Arvanitakis, Hakim Hacid
2023	J	`jnl`	On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge. CoRR Jingwei Zuo, George Arvanitakis, Hakim Hacid
2023	B	`conf`	Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks. DSAA Jingwei Zuo, Wenbin Li, Michele Baldo, Hakim Hacid
2023	J	`jnl`	Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks. CoRR Jingwei Zuo, Wenbin Li, Michele Baldo, Hakim Hacid
2023	B	`conf`	Practical Insights on Incremental Learning of New Human Physical Activity on the Edge. DSAA George Arvanitakis, Jingwei Zuo, Mthandazo Ndhlovu, Hakim Hacid
2023	J	`jnl`	Practical Insights on Incremental Learning of New Human Physical Activity on the Edge. CoRR George Arvanitakis, Jingwei Zuo, Mthandazo Ndhlovu, Hakim Hacid
2023	—	`conf`	Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF Dataset. SIGSPATIAL/GIS Jingwei Zuo, Wenbin Li, Michele Baldo, Hakim Hacid
2023	J	`jnl`	Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF Dataset. CoRR Jingwei Zuo, Wenbin Li, Michele Baldo, Hakim Hacid
2022	J	`jnl`	Graph Convolutional Networks for Traffic Forecasting with Missing Values. CoRR Jingwei Zuo, Karine Zeitouni, Yehia Taher, Sandra Garcia-Rodriguez
2022	—	`—`	Representation learning and forecasting for inter-related time series. (Apprentissage de représentations et prédiction pour des séries-temporelles inter-dépendantes). Jingwei Zuo
2021	—	`conf`	Micro-environment Recognition in the context of Environmental Crowdsensing. EDBT/ICDT Workshops Mohammad Abboud, Hafsa El Hafyani, Jingwei Zuo, Karine Zeitouni, Yehia Taher
2021	A*	`conf`	SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series. ICDM Jingwei Zuo, Karine Zeitouni, Yehia Taher
2021	J	`jnl`	SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series. CoRR Jingwei Zuo, Karine Zeitouni, Yehia Taher
2021	B	`conf`	Tell Me What Air You Breath, I Tell You Where You Are. SSTD Hafsa El Hafyani, Mohammad Abboud, Jingwei Zuo, Karine Zeitouni, Yehia Taher
2019	B	`conf`	Exploring Interpretable Features for Large Time Series with SE4TeC. EDBT Jingwei Zuo, Karine Zeitouni, Yehia Taher
2019	—	`conf`	ISETS: Incremental Shapelet Extraction from Time Series Stream. ECML/PKDD (3) Jingwei Zuo, Karine Zeitouni, Yehia Taher
2019	—	`conf`	Incremental and Adaptive Feature Exploration over Time Series Stream. IEEE BigData Jingwei Zuo, Karine Zeitouni, Yehia Taher
2018	—	`conf`	SE2TeC: A Scalable Engine for Efficient and Expressive Time Series Classification. BDCSIntell Jingwei Zuo, Karine Zeitouni, Yehia Taher