Yanyan Shen
Professor
Works on big data processing and analytics, including temporal graph neural networks and learned models for stock trend forecasting (MASTER, DoubleAdapt).
Yanyan Shen's lab at SJTU works on graph mining & networks, data management & big data and graph learning. 91 papers since 2023, 39 at top venues, mostly SIGMOD and VLDB. Applications close .
At a glance
- papers, 2023–2026
- 24/ year
- at T1 venues
- 43%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 23 papers2026 · T1 6 · collecting
- 21 papers2025 · T1 10
- 21 papers2024 · T1 10
- 26 papers2023 · T1 13
T1 venuesOtherVenues: SIGMOD, VLDB, KDD, AAAI, IJCAI
Research focuspaper titles that use each topic's words
- Graph learning34 papers
- Graph mining & networks26 papers
- Data management & big data11 papers
- temporal7 papers
- data processing0 papers
Paper list
From DBLP.
202623 papers
- IEEE Trans. Consumer Electron.Cardiovascular Risk Prediction Using ECG via a Time-Frequency Embedding Pre-Trained Model (opens in a new tab)
- SIGMOD (T1)CoShap: A Scalable Coalition Growth Approach to Shapley Value Approximation (opens in a new tab)
- KDD (T1)DeMix: Debugging Training Data with Mixed Data Error Types by Investigating Influence Vectors (opens in a new tab)
- Brain InformaticsDiffusion models for brain imaging computing: a survey of frameworks and applications (opens in a new tab)
- VLDB (T1)Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling (opens in a new tab)
- IEEE Trans. Consumer Electron.From Image Synthesis to Digital Twins: A Paradigm Shift in AI-Driven Medical Image Computing (opens in a new tab)
- IEEE Trans. Consumer Electron.Full-Duplex Integrated Sensing, Communication, and Computation Over Low-Altitude Wireless Networks (opens in a new tab)
- IEEE Trans. Consumer Electron.Generalized Multimodal Brain-Computer Interfaces: From Neural Signal Sensing to Scenario-Adaptive Decoding (opens in a new tab)
- IEEE Trans. Consumer Electron.Generative AI Empowers Brain-Computer Interfaces: A Review-Perspective on Technical Realities and Future Visions (opens in a new tab)
- IEEE Trans. Consumer Electron.Generative AI Empowers Estimation of Brain Structure-Function Connectivity for Alzheimer's Disease (opens in a new tab)
- VLDB (T1)HEXA: A Disjoint-Subgraph-Based Indexing Framework for Approximate Nearest Neighbor Search at Billion Scale (opens in a new tab)
- Comput. NetworksHierarchical learning for IRS-assisted MEC systems with rate-splitting multiple access (opens in a new tab)
202521 papers
- TODS (T1)A Caching-based Framework for Scalable Temporal Graph Neural Network Training (opens in a new tab)
- IEEE Trans. Wirel. Commun.Age of Information Minimization in UAV-Enabled IoT Networks via Federated Reinforcement Learning (opens in a new tab)
- SIGMOD (T1)Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving (opens in a new tab)
- IEEE Trans Autom. Sci. Eng.BDHT: Generative AI Enables Causality Analysis for Mild Cognitive Impairment (opens in a new tab)
- GeoInformaticaCLMTR: a generic framework for contrastive multi-modal trajectory representation learning (opens in a new tab)
- IEEE Trans. Consumer Electron.ConnectomeDiffuser: Generative AI Enables Brain Network Construction From Diffusion Tensor Imaging (opens in a new tab)
- IEEE Internet Things J.ETC: Enhancing Transportation Computation With IRS-Enabled Wireless Powered MEC Systems (opens in a new tab)
- VLDB (T1)Faster Convergence in Mini-batch Graph Neural Networks Training with Pseudo Full Neighborhood Compensation (opens in a new tab)
- VLDB Journal (T1)From Sancus to Sancusq: staleness and quantization-aware full-graph decentralized training in graph neural networks (opens in a new tab)
- IEEE Trans. Consumer Electron.Generative AI Enables EEG Super-Resolution via Spatio-Temporal Adaptive Diffusion Learning (opens in a new tab)
- VLDB Journal (T1)How good are multi-dimensional learned indexes? An experimental survey (opens in a new tab)
- ICML (T1)In-Context Adaptation to Concept Drift for Learned Database Operations (opens in a new tab)
202421 papers
- TKDE (T1)A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation (opens in a new tab)
- DASFAACost-Aware Outdated Facts Correction in the Knowledge Bases (opens in a new tab)
- VLDB (T1)Efficient Training of Graph Neural Networks on Large Graphs (opens in a new tab)
- IEEE Trans. Cybern.Estimating Addiction-Related Brain Connectivity by Prior-Embedding Graph Generative Adversarial Networks (opens in a new tab)
- VLDB (T1)ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs (opens in a new tab)
- VTC SpringIntelligent Reflecting Surface Aided Mobile Edge Computing with Rate-Splitting Multiple Access (opens in a new tab)
- IEEE Internet Things J.Joint Trajectory Design and Resource Allocation in UAV-Enabled Heterogeneous MEC Systems (opens in a new tab)
- IEEE Netw. Lett.Latency-Aware Resource Allocation for Mobile Edge Generation and Computing via Deep Reinforcement Learning (opens in a new tab)
- AAAI (T1)MASTER: Market-Guided Stock Transformer for Stock Price Forecasting (opens in a new tab)
- NCAAMulti-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition (opens in a new tab)
- Sci. China Inf. Sci.NeurDB: an AI-powered autonomous data system (opens in a new tab)
- IEEE Internet Things J.Outage Constrained Max-Min Secrecy Rate Optimization for IRS-Aided SWIPT Systems With Artificial Noise (opens in a new tab)
202326 papers
- ICCC WorkshopsAoI-Aware UAV-Enabled Marine MEC Networks with Integrated Sensing, Computation, and Communication (opens in a new tab)
- TKDE (T1)AutoSrh: An Embedding Dimensionality Search Framework for Tabular Data Prediction (opens in a new tab)
- Ad Hoc NetworksAverage AoI minimization for data collection in UAV-enabled IoT backscatter communication systems with the finite blocklength regime (opens in a new tab)
- ICCCBlockchain-Empowered Space-Air-Ground Integrated Networks for Remote Internet of Things (opens in a new tab)
- NCAAConditional Diffusion Model-Based Data Augmentation for Alzheimer's Prediction (opens in a new tab)
- KDD (T1)Diga: Guided Diffusion Model for Graph Recovery in Anti-Money Laundering (opens in a new tab)
- KDD (T1)DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting (opens in a new tab)
- SIGMOD (T1)DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU (opens in a new tab)
- IJCAI (T1)Feature Staleness Aware Incremental Learning for CTR Prediction (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain (opens in a new tab)
- DASFAAHIT - An Effective Approach to Build a Dynamic Financial Knowledge Base (opens in a new tab)
- AAAI (T1)Human-in-the-Loop Vehicle ReID (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- CNSJTU
Baoliang Lu
- Computational neuroscience & cognition
- CNPeking
Jun Sun
- Recommendation, search & web
- CNPeking
Di He
- Graph learning
- USUIUC
Zhizhen Jane Zhao
- Signal processing & information theory
- USUCLA
Yizhou Sun
- Graph mining & networks
- USUCSD
Babak Salimi
- Probabilistic & causal inference
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
SJTUcloses