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, where I worked with Prof. Themis Palpanas. I completed my undergraduate studies at Fudan University, where I worked 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
Zero-to-Hero: Knowledge-guided Unsupervised Active Learning for EEG-based Detection of
Interictal Epileptiform Discharges
ECML-PKDD 2026
ParisKV: Fast and Drift-Robust KV-Cache Retrieval for Long-Context LLMs
pdf
ICML 2026
IceCache: Memory-Efficient KV-cache Management for Long-Sequence LLMs
pdf
ICLR 2026
SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time
Series Forecasting
pdf
WWW 2026
TORCHSIM: High Fidelity Runtime and Memory Estimation for Distributed
Training
pdf
Scalable Image AI via Self-Designing Storage
pdf
IEEE DEBull 2025
Dimensionality-Reduction Techniques for Approximate Nearest Neighbor Search: A
Survey and Evaluation
pdf
IEEE DEBull 2025
Automated Data Quality Validation in an End-to-End GNN Framework
pdf
EDBT 2025
A Lightweight Sparse Interaction Network for Time Series Forecasting
pdf
AAAI 2025
Multi-period Learning for Financial Time Series Forecasting
pdf
KDD 2025
LeaFi: Data Series Indexes on Steroids with Learned Filters
pdf
SIGMOD 2025
Steiner-Hardness: a Query Hardness Measure for Graph-Based ANN Indexes
pdf
PVLDB 17(13), 2024
Enhancing Adaptive Deep Networks for Image Classification via Uncertainty-aware
Decision Fusion
pdf
MM 2024
DumpyOS: A Data-Adaptive Multi-ary Index for Scalable Data Series Similarity
Search
pdf
VLDBJ 2024
Efficiently Mitigating the Impact of Data Drift on Machine Learning Pipelines
pdf
PVLDB 17(11), 2024
SEAnet: A Deep Learning Architecture for Data Series Similarity Search
pdf
TKDE 35(12), 2023
Dumpy: A Compact and Adaptive Index for Large Data Series Collections
pdf
SIGMOD 2023
Hierarchical Transformer Encoder to Improve Entire Neoplasm Area Segmentation on
Whole Slide Image of Hepatocellular Carcinoma
pdf
ISBI 2023
iEDeaL: A Deep Learning Framework for Detecting Highly Imbalanced Interictal
Epileptiform Discharges
pdf
code
PVLDB 16(3), 2022
HDUMP: A Data Recovery Tool for Hadoop
doi
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
| Conference PC Member | SIGMOD 27/26, PVLDB 27/26/25/24, ICDE 27/26, KDD 26/25, ICLR 26/25, NeurIPS 25, ICML 25 MulTiSA@ICDE 25/24 |
| Journal Reviewer | TC 26, VLDBJ 26, TKDE 26/25/24 |
| 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