Yanmin Zhu
Tenured Professor
Directs the Data Networking and Intelligence Lab, working on data mining and urban computing.
Yanmin Zhu's lab at SJTU works on time series, anomaly & spatio-temporal data, data management & big data and distributed, cloud & edge systems. 83 papers since 2023, 14 at top venues, mostly SIGIR and Information Sciences. Applications close .
At a glance
- papers, 2023–2026
- 22/ year
- at T1 venues
- 17%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 12 papers2026 · T1 4 · collecting
- 16 papers2025 · T1 2
- 22 papers2024 · T1 5
- 33 papers2023 · T1 3
T1 venuesOtherVenues: SIGIR, Information Sciences, TKDE, WSDM, AAAI
Research focuspaper titles that use each topic's words
- Distributed, cloud & edge systems9 papers
- Time series, anomaly & spatio-temporal data7 papers
- Data management & big data5 papers
- networking1 paper
- urban computing0 papers
Paper list
From DBLP.
202612 papers
- WSDM (T1)Adaptive Continual Learning with User-Incremental Forward Compatibility for Meta-Augmented Cold-Start Recommenders (opens in a new tab)
- IEEE Trans. Mob. Comput.ADGTrace: Achieving Adaptive Trajectory Synthesis With Generated Data (opens in a new tab)
- DASFAAFriend-Aware Contrastive Learning with Aligned Social Graph for Social Recommendation (opens in a new tab)
- DASFAAInter-attribute Semantic Correlation-Guided Federated Recommender System Against Attribute Inference Attacks (opens in a new tab)
- TKDE (T1)Interest-Aware Graph Contrastive Learning for Recommendation With Diffusion-Based Augmentation (opens in a new tab)
- ACM Trans. Knowl. Discov. DataMESA: Plugin Meta-Modulation for Transformer-Based Cold-Start Sequential Recommendation (opens in a new tab)
- ACM Trans. Inf. Syst.Mutual Knowledge Distillation and Contrastive Learning between Multi-View Graphs for Cross-Domain Recommendation (opens in a new tab)
- IEEE Trans. Mob. Comput.Noisy Multi-Label Aggregation With Self-Supervised Graph Transformer in Mobile Crowdsourcing (opens in a new tab)
- IEEE Trans. Dependable Secur. Comput.Toward Personalized Location Privacy Trading for Mobile Crowd Sensing (opens in a new tab)
- ICLR (T1)Towards a Foundation Model for Crowdsourced Label Aggregation (opens in a new tab)
- INFOCOM (T1)VibraGait: Multi-User Gait Recognition based on Footstep-Induced Floor Vibrations via mmWave (opens in a new tab)
- IEEE Trans. Mob. Comput.Zero-Shot Face Authentication in Multi-User Scenarios Using mmWave Signals (opens in a new tab)
202516 papers
- ICPADS$m^{3}FacePass$: mmWave-Based Multi-User Face Authentication with Zero-Shot Learning (opens in a new tab)
- IEEE Internet Things J.A Comprehensive Survey of Side-Channel Sound-Sensing Methods (opens in a new tab)
- IEEE Trans. Serv. Comput.An Adaptive and Interpretable Congestion Control Service Based on Multi-Objective Reinforcement Learning (opens in a new tab)
- IEEE Trans. Mob. Comput.BAT: A Versatile Bipartite Attention-Based Approach for Comprehensive Truth Inference in Mobile Crowdsourcing (opens in a new tab)
- ACM Trans. Inf. Syst.Dual-Adaptive Update Strategies-Enhanced Meta-Optimization for User Cold-Start Recommendation (opens in a new tab)
- Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.EMTap: Eavesdropping on Sound Transmitted via Audio Cables by Sensing Electromagnetic Variation Using RFID (opens in a new tab)
- SIGIR (T1)Generating Difficulty-aware Negative Samples via Conditional Diffusion for Multi-modal Recommendation (opens in a new tab)
- ICPADSLatent Interest Discovery and Cross-Level Interest Alignment for Multimodal Recommendation (opens in a new tab)
- IEEE Trans. Mob. Comput.Multi-Agent Deep Reinforcement Learning With Trajectory Prediction for Task Migration-Assisted Computation Offloading (opens in a new tab)
- Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.OccMesh: Occlusion-aware Multi-user 3D Human Mesh Reconstruction Using mmWave Signals (opens in a new tab)
- IEEE Trans. Mob. Comput.Realistic Facial Expression Reconstruction Using Millimeter Wave (opens in a new tab)
- IEEE Trans. Mob. Comput.Reinforcement Learning-Based Dual-Identity Double Auction in Personalized Federated Learning (opens in a new tab)
202422 papers
- IEEE Trans. Serv. Comput.Adaptive Network Management Service Based on Control Relation Graph for Software-Defined LEO Satellite Networks in 6G (opens in a new tab)
- ICPADSAll Federated or Not: Optimizing Personal Model Performance in Cross-silo Federated Learning (opens in a new tab)
- IEEE Trans. Mob. Comput.AMT$^+$+: Acoustic Multi-Target Tracking With Smartphone MIMO System (opens in a new tab)
- IEEE/ACM Trans. Netw.An Imperceptible Eavesdropping Attack on WiFi Sensing Systems (opens in a new tab)
- MSNBi-Level Reinforcement Learning-Based Task Offloading for Delay Optimization in Wireless Powered Mobile Edge Computing (opens in a new tab)
- ACM Trans. Inf. Syst.Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation (opens in a new tab)
- ACM Trans. Inf. Syst.Contrastive Self-supervised Learning in Recommender Systems: A Survey (opens in a new tab)
- Information SciencesDynamic heterogeneous attributed network embedding (opens in a new tab)
- WWW (T1)Explicitly modeling relationships between domain-specific and domain-invariant interests for cross-domain recommendation (opens in a new tab)
- ICDE (T1)Graph Contrastive Learning for Truth Inference (opens in a new tab)
- TKDE (T1)Graph Diffusion-Based Representation Learning for Sequential Recommendation (opens in a new tab)
- DASFAAGuiding Graph Learning with Denoised Modality for Multi-modal Recommendation (opens in a new tab)
202333 papers
- MSNA Meta Reinforcement Learning-based Scheme for Adaptive Service Placement in Edge Computing (opens in a new tab)
- SIGIR (T1)A Preference Learning Decoupling Framework for User Cold-Start Recommendation (opens in a new tab)
- ICTAIA Spatio-temporal Adaptive Personalized Meta-recommender for Next Location (opens in a new tab)
- ACM Trans. Inf. Syst.A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions (opens in a new tab)
- SIGIR (T1)Adaptive Graph Representation Learning for Next POI Recommendation (opens in a new tab)
- ADMACalibrating Popularity Bias Based on Quality for Recommendation Fairness (opens in a new tab)
- IEEE Trans. Mob. Comput.Deep Reinforcement Learning Based Approach for Online Service Placement and Computation Resource Allocation in Edge Computing (opens in a new tab)
- IEEE Trans. Mob. Comput.Delay-Optimal Cooperation Transmission in Remote Sensing Satellite Networks (opens in a new tab)
- DASFAADisentangled Contrastive Learning for Cross-Domain Recommendation (opens in a new tab)
- ICPADSDual Contrastive Learning for Multi-Behavior Recommendation (opens in a new tab)
- IWQoSEAGLE: Heterogeneous GNN-based Network Performance Analysis (opens in a new tab)
- Artif. Intell. MedicineEnhancing length of stay prediction by learning similarity-aware representations for hospitalized patients (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
- USUIUC
Klara Nahrstedt
- Data management & big data
- CNSJTU
Xiaofeng Gao
- Graph mining & networks
- CNSJTU
Zheng Wang
- Data management & big data
- CNTsinghua
Jianyong Wang
- Data management & big data
- USMichigan
Hun-Seok Kim
- Accelerators, chips & architecture
- USUCSD
Zhijian Liu
- Efficient training & 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