Xiaofeng Gao
Tenured Professor
Works on data engineering, data mining and networking, including trust prediction in online social networks.
Xiaofeng Gao's lab at SJTU works on graph mining & networks, computational social science and distributed, cloud & edge systems. 71 papers since 2023, 25 at top venues, mostly ICDE and ICDM. 7 PhD students and 14 master's students. 12 alumni, most often to Huawei and Intel. Applications close .
At a glance
- papers, 2023–2026
- 19/ year
- at T1 venues
- 35%
- PhD students
- 7
- MS students
- 14
- alumni listed
- 12
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 20 papers2025 · T1 6
- 25 papers2024 · T1 12
- 26 papers2023 · T1 7
T1 venuesOtherVenues: ICDE, ICDM, KDD, CIKM, ECML-PKDD
Research focuspaper titles that use each topic's words
- Graph mining & networks9 papers
- Distributed, cloud & edge systems9 papers
- Computational social science6 papers
- social networks1 paper
- networking0 papers
Paper list
From the lab homepage.
202520 papers
- World Wide Web: Internet and Web Information SystemsA Dual-Embedding Based Reinforcement Learning Scheme for Task Assignment Problem in Spatial Crowdsourcing
- TMCA Lightweight Encoder-Decoder Framework for Carpooling Route Planning, to appear on
- TCSAlgorithms for Shortest Path Tour Problem, to appear on
- TKDDBuilding Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification
- DASFAACausalScaler: A Causality-Driven Autoscaling Framework for the Cloud
- DASFAACloudChurn: Optimizing Enterprise Customer Churn Prediction in Cloud Services for Huawei Cloud
- ECML-PKDDDRNCS: Dual-Level Route Generation Model Based on Node Contraction and Shortcuts
- AAAI (T1)Enhancing Masked Time-Series Modeling via Dropping Patches
- VLDB (T1)Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services
- ICLR (T1)MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection
- KAISOverlap-Aware Infuence Maximization with Balanced Replay Deep Q-Network, to appear to
- DASFAAPredicting Enterprise Users' Consuming Potential for Cloud Services
202425 papers
- SIGIR (T1)A Dual-Embedding Based DQN for Worker Recruitment in Spatial Crowdsourcing with Social Network
- TCSA New Similarity in Clustering Through Users' Interest and Social Relationship
- TSCClustering based Priority Queue Algorithm for Spatial Task Assignment in Crowdsourcing
- ICDE (T1)Corruption Robust Dynamic Pricing in Liner Shipping under Capacity Constraint
- ICSOCCrowdsourcing Task Assignment with Category and Mobile Combined Preference Learning
- DASFAADeepMIN: Deep Multi-modal Interest Network with Cognitive Learning Modules
- IMCOMDItune: A Reinforcement Learning Based Framework for Automated Database Index Selection
- TSCEncoder-Decoder Based Route Generation Model for Flexible Travel Recommendation
- IPDPSFEDGE: An Interference-Aware QoS Prediction Framework for Black-Box Scenario in IaaS Clouds with Domain Generalization
- KDD (T1)Integrating System State into Spatio Temporal Graph Neural Network for Microservice Workload Prediction
- ICSOCJiecheng Guo and Xiaofeng Gao, Weather-Conditioned Multi-Graph Network for Ride-Hailing Demand Forecasting
- World Wide Web: Internet and Web Information SystemsLAMEE: A Light All-MLP Framework for Time Series Prediction Empowering Recommendations
202326 papers
- COCOONAlgorithms for Shortest Path Tour Problem in Large-Scale Road Network
- IPDPSAlioth: A Machine Learning Based Interference-Aware Performance Monitor for Multi-Tenancy Applications in Public Cloud
- ADMAAn Adaptive Data-Driven Imputation Model for Incomplete Event Series
- TONAn Adaptive Metadata Management Scheme Based On Deep Reinforcement Learning for Large-Scale Distributed File Systems
- INFOCOM (T1)An Approximation for Job Scheduling on Cloud with Synchronization and Slowdown Constraints
- ICWSAn Approximation for Routing Planning, Mobile Charging, and Energy Sharing for Sensing Devices
- TMCAn Online Fairness-Aware Task Planning Approach for Spatial Crowdsourcing
- ICDE (T1)Ao Tan and Lifeng Wang, Automatic Fusion Network for Cold-start CVR Prediction with Explicit Multi-Level Representation
- DASFAAAttentive Hawkes Process Application for Sequential Recommendation
- TKDE (T1)Cross-Platform Event Popularity Analysis via Dynamic Time Warping and Neural Prediction
- IJCAI (T1)Curriculum Multi-Level Learning for Imbalanced Live-Stream Recommendation
- ICDE (T1)DBAugur: An Adversarial-based Trend Forecasting System for Diversified Workloads
Where alumni went12 listed, 100% to industry
Industry 12Academia 0
Most often to
- Huawei
- Intel
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.
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