Qitong Wang

According to our database, Qitong Wang authored at least 24 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

IceCache: Memory-efficient KV-cache Management for Long-Sequence LLMs.

Yuzhen Mao, Qitong Wang, Martin Ester, Ke Li

CoRR, April, 2026

SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting.

Xu Zhang, Qitong Wang, Peng Wang, Wei Wang

CoRR, February, 2026

ParisKV: Fast and Drift-Robust KV-Cache Retrieval for Long-Context LLMs.

Yanlin Qi, Xinhang Chen, Huiqiang Jiang, Qitong Wang, Botao Peng, Themis Palpanas

CoRR, February, 2026

SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting.

Xu Zhang, Qitong Wang, Peng Wang, Wei Wang

Proceedings of the ACM Web Conference 2026, 2026

2025

Aokana: A GPU-Driven Voxel Rendering Framework for Open World Games.

Yingrong Fang, Qitong Wang, Wei Wang

Proc. ACM Comput. Graph. Interact. Tech., May, 2025

Aokana: A GPU-Driven Voxel Rendering Framework for Open World Games.

Yingrong Fang, Qitong Wang, Wei Wang

CoRR, May, 2025

LeaFi: Data Series Indexes on Steroids with Learned Filters.

Qitong Wang, Ioana Ileana, Themis Palpanas

Proc. ACM Manag. Data, February, 2025

Scalable Image AI via Self-Designing Storage.

Utku Sirin, Victoria Kauffman, Aadit Saluja, Florian Klein, Jeremy Hsu, Vlad Cainamisir, Qitong Wang, Konstantinos Kopsinis, Stratos Idreos

IEEE Data Eng. Bull., 2025

Multi-period Learning for Financial Time Series Forecasting.

Xu Zhang, Zhengang Huang, Yunzhi Wu, Xun Lu, Erpeng Qi, Yunkai Chen, Zhongya Xue, Qitong Wang, Peng Wang, Wei Wang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Automated Data Quality Validation in an End-to-End GNN Framework.

Sijie Dong, Soror Sahri, Themis Palpanas, Qitong Wang

Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

A Lightweight Sparse Interaction Network for Time Series Forecasting.

Xu Zhang, Qitong Wang, Peng Wang, Wei Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

DumpyOS: A data-adaptive multi-ary index for scalable data series similarity search.

Zeyu Wang, Qitong Wang, Peng Wang, Themis Palpanas, Wei Wang

VLDB J., November, 2024

Steiner-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes.

Zeyu Wang, Qitong Wang, Xiaoxing Cheng, Peng Wang, Themis Palpanas, Wei Wang

Proc. VLDB Endow., September, 2024

Efficiently Mitigating the Impact of Data Drift on Machine Learning Pipelines.

Sijie Dong, Qitong Wang, Soror Sahri, Themis Palpanas, Divesh Srivastava

Proc. VLDB Endow., July, 2024

Dimensionality-Reduction Techniques for Approximate Nearest Neighbor Search: A Survey and Evaluation.

Zeyu Wang, Haoran Xiong, Qitong Wang, Zhenying He, Peng Wang, Themis Palpanas, Wei Wang

IEEE Data Eng. Bull., 2024

Enhancing Adaptive Deep Networks for Image Classification via Uncertainty-aware Decision Fusion.

Xu Zhang, Zhipeng Xie, Haiyang Yu, Qitong Wang, Peng Wang, Wei Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

SEAnet: A Deep Learning Architecture for Data Series Similarity Search.

Qitong Wang, Themis Palpanas

IEEE Trans. Knowl. Data Eng., December, 2023

Dumpy: A Compact and Adaptive Index for Large Data Series Collections.

Zeyu Wang, Qitong Wang, Peng Wang, Themis Palpanas, Wei Wang

Proc. ACM Manag. Data, 2023

A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Image of Hepatocellular Carcinoma.

Zhuxian Guo, Qitong Wang, Henning Müller, Themis Palpanas, Nicolas Loménie, Camille Kurtz

CoRR, 2023

A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Images of Hepatocellular Carcinoma.

Zhuxian Guo, Qitong Wang, Henning Müller, Themis Palpanas, Nicolas Loménie, Camille Kurtz

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

iEDeaL: A Deep Learning Framework for Detecting Highly Imbalanced Interictal Epileptiform Discharges.

Qitong Wang, Stephen Whitmarsh, Vincent Navarro, Themis Palpanas

Proc. VLDB Endow., 2022

Data Series Similarity Search via Deep Learning.

Qitong Wang

Proceedings of the VLDB 2022 PhD Workshop co-located with the 48th International Conference on Very Large Databases (VLDB 2022), 2022

2021

Deep Learning Embeddings for Data Series Similarity Search.

Qitong Wang, Themis Palpanas

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2018

HDUMP: A Data Recovery Tool for Hadoop.

Zhongsheng Li, Qiuhong Li, Wei Wang, Qitong Wang, Fengbin Qi, Yimin Liu, Peng Wang

Proceedings of the Database Systems for Advanced Applications, 2018