I am a PhD student at Université Paris Cité, working with Prof. Themis Palpanas. Before that, I got my bachelor’s and master’s degrees in computer science from Fudan University, working with Prof. Wei Wang and Prof. Peng Wang.
It has been my great honor and big pleasure to also work with Prof. Ke Li at Simon Fraser University, Prof. Nick Koudas at the University of Toronto, with Prof. John Paparrizos at the University of Chicago (remote), with Prof. Reynold Cheng at the University of Hong Kong, and with Prof. Jianmin Wang and Dr. Chen Wang at Tsinghua University.
My research interest lies in the intersections between 1) massive data series analytics and management systems and 2) modern machine learning and deep learning tools, as well as their interdisciplinary applications in neuroscience.
Publications
| Qitong Wang, Themis Palpanas. SEAnet: A Deep Learning Architecture for Data Series Similarity Search. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023. [pdf] |
| Zeyu Wang, Qitong Wang, Peng Wang, Themis Palpanas, Wei Wang. Dumpy: A Compact and Adaptive Index for Large Data Series Collections. ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD), Seattle, WA, USA, Jun 2023. [pdf] |
| Zhuxian Guo, Qitong Wang, Henning Müller, Themis Palpanas, Nicolas Loménie, Camille Kurtz. Hierarchical Transformer Encoder to Improve Entire Neoplasm Area Segmentation on Whole Slide Image of Hepatocellular Carcinoma. IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena de Indias, Colombia, Apr 2023. [pdf] |
| Qitong Wang, Stephen Whitmarsh, Vincent Navarro, Themis Palpanas. iEDeaL: A Deep Learning Framework for Detecting Highly Imbalanced Interictal Epileptiform Discharges. Proceedings of the VLDB Endowment (PVLDB), Volume 16, Issue 3, 2022. [pdf][code][supp] |
| Qitong Wang. Data Series Similarity Search via Deep Learning. PhD Workshop at International Conference on Very Large Databases (VLDB PhD Workshop), Sydney, Australia, Sep 2022. [pdf][supp] |
| Qitong Wang, Themis Palpanas. Deep Learning Embeddings for Data Series Similarity Search. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), virtual conference, Aug 2021. [pdf][code][supp] |
| Zhongsheng Li, Qiuhong Li, Wei Wang, Qitong Wang, Fengbin Qi, Yimin Liu, Peng Wang. HDUMP: A Data Recovery Tool for Hadoop (demo). International Conference on Database Systems for Advanced Applications (DASFAA), Gold Coast, Australia, May 2018. |
Talks
| What Can Deep Learning Do for Data Series Similarity Search? LIPADE Open Day, Paris, France, Jun 2023. |
| Deep Learning Embeddings for Data Series Similarity Search. Tsinghua AI Time PhD Forum, Online, Oct 2021. [supp] |
| Deep Learning Embeddings for Data Series Similarity Search. Fudan University, Shanghai, China, May 2021. [supp] |
Services
| Invited External Reviewer | ICDE 23, PAKDD 22, ICDM 22, PVLDB 21, DMKD 21 |
| Student Volunteer | SIGMOD 23/20 |
Awards and Funding
| SIGMOD 2023 Travel Award. ACM SIGMOID/PODS 2023 Mentorship Committee, Apr 2023. |
| Deep Active Learning-based EEG Epilepsy Detection and Analysis. Qitong Wang (PI). The Data Intelligence Institute of Paris (diiP), Jan-Jul 2023. |
| Deep Learning-based EEG Epilepsy Detection and Analysis. Qitong Wang (PI). The Data Intelligence Institute of Paris (diiP), May-Aug 2022. |