Qitong Wang 王齐童
I am a postdoc at Harvard University, working with Prof. Stratos Idreos on self-designing data and AI systems. Before that, I received my PhD from Université Paris Cité with Prof. Themis Palpanas, and my master's and undergrad degrees from Fudan University with Prof. Wei Wang and Prof. Peng Wang. I am also fortunate to closely collaborate with Prof. Ke Li at Simon Fraser University.
Recent Publications
ParisKV: Fast and Drift-Robust KV-Cache Retrieval for Long-Context LLMs
pdf
Yanlin Qi, Xinhang Chen, Huiqiang Jiang, Qitong Wang, Botao Peng, Themis
Palpanas ·
preprint 2026
IceCache: Memory-Efficient KV-cache Management for Long-Sequence LLMs
pdf
Yuzhen Mao, Qitong Wang, Martin Ester, Ke Li · ICLR 2026
SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time
Series Forecasting
pdf
Xu Zhang, Qitong Wang*, Peng Wang*, Wei Wang · WWW 2026
TORCHSIM: High Fidelity Runtime and Memory Estimation for Distributed
Training
pdf
Sanket Purandare, Emma Yang, Andrew Zhao, Qitong Wang, Wei Feng, Alban
Desmaison, Andrew Gu, Tianyu Liu, Less Wright, Gokul Nadathur, Stratos Idreos · ES-FoMo@ICML 2025
Scalable Image AI via Self-Designing Storage
pdf
Utku Sirin, Victoria Kauffman, Aadit Saluja, Florian Klein, Jeremy Hsu, Vlad Cainamisir,
Qitong Wang, Konstantinos Kopsinis, Stratos Idreos · IEEE DEBull 2025
Dimensionality-Reduction Techniques for Approximate Nearest Neighbor Search: A
Survey and Evaluation
pdf
Zeyu Wang, Haoran Xiong, Qitong Wang, Zhenying He, Peng Wang, Themis Palpanas,
Wei Wang · IEEE DEBull 2025
Aokana: A GPU-Driven Voxel Rendering Framework for Open World Games
pdf
Yingrong Fang, Qitong Wang*, Wei Wang · I3D 2025
Automated Data Quality Validation in an End-to-End GNN Framework
pdf
Sijie Dong, Soror Sahri, Themis Palpanas, Qitong Wang · EDBT 2025
A Lightweight Sparse Interaction Network for Time Series Forecasting
pdf
Xu Zhang, Qitong Wang, Peng Wang, Wei Wang · AAAI 2025
Multi-period Learning for Financial Time Series Forecasting
pdf
Xu Zhang, Zhengang Huang, Yunzhi Wu, Xun Lu, Erpeng Qi, Yunkai Chen, Zhongya Xue,
Qitong Wang*, Peng Wang, Wei Wang · KDD 2025
LeaFi: Data Series Indexes on Steroids with Learned Filters
pdf
Qitong Wang, Ioana Ileana, Themis Palpanas · SIGMOD 2025
Steiner-Hardness: a Query Hardness Measure for Graph-Based ANN Indexes
pdf
Zeyu Wang, Qitong Wang*, Xiaoxing Cheng, Peng Wang, Themis Palpanas,
Wei Wang · PVLDB 17(13), 2024
Enhancing Adaptive Deep Networks for Image Classification via Uncertainty-aware
Decision Fusion
pdf
Xu Zhang, Zhipeng Xie, Haiyang Yu, Qitong Wang*, Peng Wang, Wei Wang
· MM 2024
DumpyOS: A Data-Adaptive Multi-ary Index for Scalable Data Series Similarity
Search
pdf
Zeyu Wang, Qitong Wang, Peng Wang, Themis Palpanas, Wei Wang · VLDBJ 2024
Efficiently Mitigating the Impact of Data Drift on Machine Learning Pipelines
pdf
Sijie Dong, Qitong Wang, Soror Sahri, Themis Palpanas, Divesh Srivastava ·
PVLDB 17(11), 2024
SEAnet: A Deep Learning Architecture for Data Series Similarity Search
pdf
Qitong Wang, Themis Palpanas · TKDE 35(12), 2023
Dumpy: A Compact and Adaptive Index for Large Data Series Collections
pdf
Zeyu Wang, Qitong Wang, Peng Wang, Themis Palpanas, Wei Wang · SIGMOD 2023
Hierarchical Transformer Encoder to Improve Entire Neoplasm Area Segmentation on
Whole Slide Image of Hepatocellular Carcinoma
pdf
Zhuxian Guo, Qitong Wang, Henning Müller, Themis Palpanas, Nicolas Loménie,
Camille Kurtz · ISBI 2023
iEDeaL: A Deep Learning Framework for Detecting Highly Imbalanced Interictal
Epileptiform Discharges
pdf
code
Qitong Wang, Stephen Whitmarsh, Vincent Navarro, Themis Palpanas · PVLDB 16(3),
2022
Qitong Wang · VLDB PhD Workshop 2022
Qitong Wang, Themis Palpanas · KDD 2021
HDUMP: A Data Recovery Tool for Hadoop
doi
Zhongsheng Li, Qiuhong Li, Wei Wang, Qitong Wang, Fengbin Qi, Yimin Liu, Peng
Wang · DASFAA (demo) 2018
* corresponding author
Talks
What Can Deep Learning Do for Data Series Similarity Search?
Tsinghua AI Time, Oct 2021 · Fudan, May 2021
Teaching
| CS265: Big Data & AI Systems | Teaching Fellow, Harvard University | 2025, 2026 |
| CS165: Data Systems | Teaching Fellow, Harvard University | 2024, 2025 |
| Probability and Statistics | Teaching Fellow, Fudan University | 2018 |
| Discrete Mathematics | Teaching Fellow, Fudan University | 2018 |
| Database Management Systems | Teaching Fellow, Fudan University | 2017 |
Services
| Reviewer & PC Member | SIGMOD 27/26, PVLDB 26/25, ICDE 26, KDD 26/25, ICLR 26/25, NeurIPS 25, ICML 25, VLDBJ 26, TKDE 26/25/24, MulTiSA@ICDE 25/24 |
| Invited External Reviewer | ICDE 23, PAKDD 22, ICDM 22, PVLDB 21, DMKD 21 |
| Student Volunteer | SIGMOD 23/20 |
Awards & Funding
Distinguished PC Award: ICDE 2026
BDA Doctoral Dissertation Award 2024
The French Data Management Community (BDA), Oct 2024
Travel Grants: VLDB 2024, SIGMOD 2023
Research Grant (PI): Deep Active Learning-based EEG Epilepsy Detection and Analysis
diiP, Jan–Jul 2023
Research Grant (PI): Deep Learning-based EEG Epilepsy Detection and Analysis
diiP, May–Aug 2022