diff --git a/.DS_Store b/.DS_Store index a79ebb9..f2e24f3 100644 Binary files a/.DS_Store and b/.DS_Store differ diff --git a/config.toml b/config.toml index 3306ec4..3aa07c7 100644 --- a/config.toml +++ b/config.toml @@ -58,7 +58,7 @@ enableGitInfo = false # Your details. name = "Jingwei ZUO" - role = "Researcher" + role = "Senior Researcher" # Organizations/Affiliations. # Separate multiple entries with a comma, using the form: `[ {name="Org1", url=""}, {name="Org2", url=""} ]`. @@ -284,15 +284,15 @@ enableGitInfo = false url = "#services" weight = 4 -[[menu.main]] - name = "Projects" - url = "#projects" - weight = 5 +#[[menu.main]] +# name = "Projects" +# url = "#projects" +# weight = 5 [[menu.main]] name = "Contact" url = "#contact" - weight = 6 + weight = 5 # Link to a PDF of your resume/CV from the menu. # To enable, copy your resume/CV to `static/files/cv.pdf` and uncomment the lines below. diff --git a/content/.DS_Store b/content/.DS_Store index 1816776..2e0752f 100644 Binary files a/content/.DS_Store and b/content/.DS_Store differ diff --git a/content/home/about.md b/content/home/about.md index 732ec84..2a3647d 100644 --- a/content/home/about.md +++ b/content/home/about.md @@ -10,9 +10,7 @@ weight = 5 # List your academic interests. [interests] interests = [ - "Edge AI", "Large Generative Models", - "Incremental Learning", "Complex Data Mining", "Machine Learning" ] @@ -37,6 +35,4 @@ weight = 5 +++ # About Me -I am now a Researcher at [Technology Innovation Institute (TII)](https://www.tii.ae/). Before that, I obtained my Ph.D. at [University of Paris-Saclay](https://www.universite-paris-saclay.fr/en) in 2022, where I worked under the supervision of Prof. [Karine Zeitouni](https://pages.david.uvsq.fr/kzeitouni/) and Dr. Yehia Taher. I received my B.Sc degree in Optical & Electronic Information from [Huazhong University of Science & Technology](http://english.hust.edu.cn), China in 2015, and my M.Sc. degree in Data Science from [University of Paris-Saclay](https://www.universite-paris-saclay.fr/en), France in 2018, as well as an engineer degree in Computer Science from [Polytech Sorbonne](https://www.polytech.sorbonne-universite.fr/) & [Sorbonne Université](https://www.sorbonne-universite.fr/), France in 2017. My research interests are broadly in machine learning and complex data mining, particularly: *Edge AI*; *Large Generative Models*; *Temporal or/and Spatial data analysis*. - -All kinds of collaborations are welcomed! If you are interested, please contact me by email [jingwei.zuo@tii.ae](mailto:jingwei.zuo@tii.ae). \ No newline at end of file +I am now a Senior Researcher at [Technology Innovation Institute (TII)](https://www.tii.ae/). Before that, I obtained my Ph.D. at [University of Paris-Saclay](https://www.universite-paris-saclay.fr/en) in 2022, where I worked under the supervision of Prof. [Karine Zeitouni](https://pages.david.uvsq.fr/kzeitouni/) and Dr. Yehia Taher. I received my B.Sc degree in Optical & Electronic Information from [Huazhong University of Science & Technology](http://english.hust.edu.cn), China in 2015, and my M.Sc. degree in Data Science from [University of Paris-Saclay](https://www.universite-paris-saclay.fr/en), France in 2018, as well as an engineer degree in Computer Science from [Polytech Sorbonne](https://www.polytech.sorbonne-universite.fr/) & [Sorbonne Université](https://www.sorbonne-universite.fr/), France in 2017. My current research interests are mainly in Large Language Models (LLMs), particularly: Large-scale pre-training; Emerging architectural designs beyond or in combination with Transformers. diff --git a/content/home/news.md b/content/home/news.md index 5d348bf..1541200 100644 --- a/content/home/news.md +++ b/content/home/news.md @@ -16,15 +16,5 @@ weight = 10 list_format = 0 +++ -- (2024.02) One research paper is accepted by [PAKDD 2024](https://pakdd2024.org/) on *GNNs*, with application to *Label Graph Modeling on Human Activity Recognitions*, check our preprint [here](https://arxiv.org/pdf/2403.05557.pdf). -- (2024.01) One demo paper is accepted by [EDBT 2024](https://dastlab.github.io/edbticdt2024/) on *Personalized Privacy-Preserving Edge AI*, check our preprint [here](https://arxiv.org/pdf/2402.07180.pdf). -- (2023.09) The [PurpleAirSF](https://arxiv.org/pdf/2306.13948.pdf) dataset paper got accepted by [SIGSPATIAL 2023](https://sigspatial2023.sigspatial.org/), check the dataset [here](https://github.com/JingweiZuo/PurpleAirSF). -- (2023.08) Glad to receive the IEEE CIS “Industry Early Career” Travel Grant, related to [DSAA 2023](https://conferences.sigappfr.org/dsaa2023/). -- (2023.07) Two papers got accepted by [DSAA 2023](https://conferences.sigappfr.org/dsaa2023/): one on *Edge AI* for [Incremental Human Activity Learning on the Edge](https://arxiv.org/pdf/2308.11691.pdf), another on *Spatio-temporal data analysis* for [Air Quality Forecasting with Expandable Graph Neural Networks](https://arxiv.org/pdf/2307.15916.pdf). -- (2023.06) We released [PurpleAirSF](https://github.com/JingweiZuo/PurpleAirSF), a Ready-to-Use Dataset for *Realistic Air Quality Forecasting*, check our preprint [here](https://arxiv.org/pdf/2306.13948.pdf). -- (2023.01) One paper is accepted by [EDBT 2023](http://edbticdt2023.cs.uoi.gr/?contents=main.html) on *Edge AI* for [handling the Catastrophic Forgetting issue in Incremental Edge Learning](https://openproceedings.org/2023/conf/edbt/3-paper-155.pdf), check our preprint [here](https://arxiv.org/pdf/2302.09310.pdf)! -- (2022.12) One journal paper is published in ***Data Mining and Knowledge Discovery (DMKD)*** on *Graph Neural Networks for Traffic Forecasting* (**open access**), see more details [here](https://link.springer.com/article/10.1007/s10618-022-00903-7). -- (2022.09) Excited to join [Technology Innovation Institute (TII)](tii.ae), UAE as a Researcher, working on Edge AI, Large Generative Models, and beyond. -- (2022.08) Thrilled to receive the Plateau de Saclay Doctoral Prize 2022 (accessit) from [University of Paris-Saclay](https://www.universite-paris-saclay.fr/en), France. -- (2022.07) One journal paper is accepted by ***GeoInformatica*** on *Micro-envicronment Learning from Rich Trajectories*, check our preprint [here](https://hal.science/hal-03803155v1/document), and published version [here](https://www.researchgate.net/publication/.363696724_Learning_the_micro-environment_from_rich_trajectories_in_the_context_of_mobile_crowd_sensing). -- (2022.05) I successully defend my PhD at [University of Paris-Saclay](https://www.universite-paris-saclay.fr/en), France. Here are the [slides](../publication/PhD_defense_JingweiZuo_slides.pdf) and my [thesis](https://theses.hal.science/tel-03722855/document). Thank you all! +- (2024.10) The technical report for Falcon Mamba 7B is released - check it [here](https://arxiv.org/pdf/2410.05355). +- (2024.08) Falcon Mamba 7B is released - the first strong attention-free 7B language model. Try it out in [HuggingFace](https://huggingface.co/tiiuae/falcon-mamba-7b), check the blogpost [here](https://huggingface.co/blog/falconmamba). diff --git a/content/home/publications.md b/content/home/publications.md index 8c23b81..27c6125 100644 --- a/content/home/publications.md +++ b/content/home/publications.md @@ -35,28 +35,6 @@ publication_type = "-1" # Exclude publications that are shown in the Selected Publications widget? exclude_selected = false +++ -Journals: - -- **J. Zuo**, K. Zeitouni, Y. Taher, S. G. Rodriguez: "[Graph Convolutional Networks for Traffic Forecasting with Missing Values](https://link.springer.com/article/10.1007/s10618-022-00903-7)", *Data Mining and Knowledge Discovery* (**DMKD'22**), Springer -- H. El Hafyani, M. Abboud, **J. Zuo**, K. Zeitouni and Y. Taher: "[Learning the Micro-environment from Rich Trajectories in the context of Mobile Crowd Sensing - Application to Air Quality Monitoring](https://link.springer.com/article/10.1007/s10707-022-00471-4)", **GeoInformatica**, Springer (2022). [preprint](https://www.researchgate.net/publication/363696724_Learning_the_micro-environment_from_rich_trajectories_in_the_context_of_mobile_crowd_sensing) - -International Conferences & Workshops: - -- **J. Zuo** and H. Hacid: "[Re-thinking Human Activity Recognition with Hierarchy-aware Label Relationship Modeling](https://arxiv.org/pdf/2403.05557.pdf)", *28th Pacific-Asia Conference on Knowledge Discovery and Data Mining* (***PAKDD'24***). -- **J. Zuo**, G. Arvanitakis, M. Ndhlovu and H. Hacid: "[MAGNETO: Edge AI for Human Activity Recognition - Privacy and Personalization](https://arxiv.org/pdf/2402.07180.pdf)", *27th International Conference on Extending Database Technology* (***EDBT'24***), Paestum, Italy, 2024. -- **J. Zuo**, W. Li, M. Baldo and H. Hacid: "[Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF Dataset](https://dl.acm.org/doi/10.1145/3589132.3625575)", ***ACM SIGSPATIAL'23***, Hamburg, Germany. [preprint](https://arxiv.org/pdf/2306.13948.pdf), [dataset](https://github.com/JingweiZuo/PurpleAirSF). -- G. Arvanitakis, **J. Zuo**, M. Ndhlovu and H. Hacid: "[Practical Insights on Incremental Learning of New Human Physical Activity on the Edge](https://ieeexplore.ieee.org/document/10302601/)", ***IEEE DSAA'23***, Thessaloniki, Greece, 2023. [preprint](https://arxiv.org/pdf/2308.11691.pdf) -- **J. Zuo**, W. Li, M. Baldo and H. Hacid: "[Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10302476)", ***IEEE DSAA'23***, Thessaloniki, Greece, 2023. [preprint](https://arxiv.org/pdf/2307.15916.pdf) -- **J. Zuo**, G. Arvanitakis and H. Hacid: "[On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge](https://openproceedings.org/2023/conf/edbt/3-paper-155.pdf)", *26th International Conference on Extending Database Technology* (***EDBT'23***), Ioannina, Greece, 2023. -- **J. Zuo**, K. Zeitouni and Y. Taher: "[SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series](https://ieeexplore.ieee.org/document/9679137)", *2021 IEEE International Conference on Data Mining* (***ICDM'21***). [preprint](https://arxiv.org/pdf/2110.00578v2.pdf), [full version](../publication/SMATE_ICDM2021.pdf), [code](https://github.com/JingweiZuo/SMATE), [slides](../publication/SMATE_ICDM21_slides.pdf) -- H. El Hafyani, M. Abboud, **J. Zuo**, K. Zeitouni and Y. Taher: "[Tell Me What Air You Breath, I Tell You Where You Are](https://dl.acm.org/doi/10.1145/3469830.3470914)", (demo) *2021 International Symposium on Spatial and Temporal Databases* (***SSTD'21***) -- M. Abboud, H. El Hafyani, **J. Zuo**, K. Zeitouni and Y. Taher: "[Micro-environment Recognition in the context of Environmental Crowdsensing](http://ceur-ws.org/Vol-2841/BMDA_9.pdf)", in *Big Mobility Data Analytics with EDBT 2021 (BMDA'21)* -- **J. Zuo**, K. Zeitouni and Y. Taher: "[Incremental and Adaptive Feature Exploration over Time Series Stream](https://ieeexplore.ieee.org/document/9005660)". (regular paper) *2019 IEEE International Conference on Big Data* (***BigData'19***), Los Angeles, CA, USA, 2019. [preprint](../publication/ISMAP_BigData2019.pdf), [code](https://github.com/JingweiZuo/TSStreamMining), [slides](../publication/ISMAP_BigData19_slides.pdf) -- **J. Zuo**, K. Zeitouni and Y. Taher: "[ISETS: Incremental Shapelet Extraction from Time Series Stream](https://link.springer.com/chapter/10.1007/978-3-030-46133-1_53)"，(demo) *2019 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases* (***ECML-PKDD’19***), Würzburg, Germany, 2019. [poster](../publication/PKDD_Poster19.pdf), [preprint](../publication/ECML_PKDD2019.pdf), [code](https://github.com/JingweiZuo/ISETS) -- **J. Zuo**, K. Zeitouni and Y. Taher. "[Exploring Interpretable Features for Large Time Series with SE4TeC](https://openproceedings.org/2019/conf/edbt/EDBT19_paper_353.pdf)", (demo) *22nd International Conference on Extending Database Technology* (***EDBT'19***), Lisbon, Portugal, 2019. [poster](../publication/EDBT2019_poster.pdf), [code](https://github.com/JingweiZuo/SE4TeC) - -National Conference: - -- **J. Zuo**, K. Zeitouni and Y. Taher. "[Time Series meet Data Streams: Perspectives of the - Interdisciplinary Collision and Applications](../publication/BDA2019.pdf)", *PhD symposium*, *35ème Conférence sur la Gestion de Données – Principes, Technologies et Applications (BDA'19)*, Lyon, France, 2019. +Preprint: +- **J. Zuo**, M. Velikanov, D. Eddine Rhaiem, I. Chahed, Y. Belkada, G. Kunsch and H. Hacid: "[Falcon Mamba: The First Competitive Attention-free 7B Language Model](https://arxiv.org/pdf/2410.05355)", arXiv'24