Qitong Wang 王齐童
Hi there!👋 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
ICML 2026Yanlin Qi, Xinhang Chen, Huiqiang Jiang, Qitong Wang, Botao Peng, Themis Palpanas
IceCache: Memory-Efficient KV-cache Management for Long-Sequence LLMs
pdf
ICLR 2026Yuzhen Mao, Qitong Wang, Martin Ester, Ke Li
SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time
Series Forecasting
pdf
WWW 2026Xu Zhang, Qitong Wang*, Peng Wang*, Wei Wang
TORCHSIM: High Fidelity Runtime and Memory Estimation for Distributed
Training
pdf
ES-FoMo@ICML 2025Sanket Purandare, Emma Yang, Andrew Zhao, Qitong Wang, Wei Feng, Alban Desmaison, Andrew Gu, Tianyu Liu, Less Wright, Gokul Nadathur, Stratos Idreos
Scalable Image AI via Self-Designing Storage
pdf
IEEE DEBull 2025Utku Sirin, Victoria Kauffman, Aadit Saluja, Florian Klein, Jeremy Hsu, Vlad Cainamisir, Qitong Wang, Konstantinos Kopsinis, Stratos Idreos
Dimensionality-Reduction Techniques for Approximate Nearest Neighbor Search: A
Survey and Evaluation
pdf
IEEE DEBull 2025Zeyu Wang, Haoran Xiong, Qitong Wang, Zhenying He, Peng Wang, Themis Palpanas, Wei Wang
Aokana: A GPU-Driven Voxel Rendering Framework for Open World Games
pdf
I3D 2025Yingrong Fang, Qitong Wang*, Wei Wang
Automated Data Quality Validation in an End-to-End GNN Framework
pdf
EDBT 2025Sijie Dong, Soror Sahri, Themis Palpanas, Qitong Wang
A Lightweight Sparse Interaction Network for Time Series Forecasting
pdf
AAAI 2025Xu Zhang, Qitong Wang, Peng Wang, Wei Wang
Multi-period Learning for Financial Time Series Forecasting
pdf
KDD 2025Xu Zhang, Zhengang Huang, Yunzhi Wu, Xun Lu, Erpeng Qi, Yunkai Chen, Zhongya Xue, Qitong Wang*, Peng Wang, Wei Wang
LeaFi: Data Series Indexes on Steroids with Learned Filters
pdf
SIGMOD 2025Qitong Wang, Ioana Ileana, Themis Palpanas
Steiner-Hardness: a Query Hardness Measure for Graph-Based ANN Indexes
pdf
PVLDB 17(13), 2024Zeyu Wang, Qitong Wang*, Xiaoxing Cheng, Peng Wang, Themis Palpanas, Wei Wang
Enhancing Adaptive Deep Networks for Image Classification via Uncertainty-aware
Decision Fusion
pdf
MM 2024Xu Zhang, Zhipeng Xie, Haiyang Yu, Qitong Wang*, Peng Wang, Wei Wang
DumpyOS: A Data-Adaptive Multi-ary Index for Scalable Data Series Similarity
Search
pdf
VLDBJ 2024Zeyu Wang, Qitong Wang, Peng Wang, Themis Palpanas, Wei Wang
Efficiently Mitigating the Impact of Data Drift on Machine Learning Pipelines
pdf
PVLDB 17(11), 2024Sijie Dong, Qitong Wang, Soror Sahri, Themis Palpanas, Divesh Srivastava
SEAnet: A Deep Learning Architecture for Data Series Similarity Search
pdf
TKDE 35(12), 2023Qitong Wang, Themis Palpanas
Dumpy: A Compact and Adaptive Index for Large Data Series Collections
pdf
SIGMOD 2023Zeyu Wang, Qitong Wang, Peng Wang, Themis Palpanas, Wei Wang
Hierarchical Transformer Encoder to Improve Entire Neoplasm Area Segmentation on
Whole Slide Image of Hepatocellular Carcinoma
pdf
ISBI 2023Zhuxian Guo, Qitong Wang, Henning Müller, Themis Palpanas, Nicolas Loménie, Camille Kurtz
iEDeaL: A Deep Learning Framework for Detecting Highly Imbalanced Interictal
Epileptiform Discharges
pdf
code
PVLDB 16(3), 2022Qitong Wang, Stephen Whitmarsh, Vincent Navarro, Themis Palpanas
KDD 2021Qitong Wang, Themis Palpanas
HDUMP: A Data Recovery Tool for Hadoop
doi
DASFAA (demo) 2018Zhongsheng Li, Qiuhong Li, Wei Wang, Qitong Wang, Fengbin Qi, Yimin Liu, Peng Wang
* 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 27/26, 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