News

• Funded PhD studenships available. Potential candidates can get in touch.
• Scaling deep learning training and inference via model-wise distributed memory parallelism and hypergraph partitioning, ACM ICS '21
• Private spatio-temporal trajectory sharing with local differential privacy, VLDB '21
• Spatio-temporal quantization for compressed storage and querying of large datasets, VLDB '21
• Synthetic spatial data generation with differential privacy, SSTD '21
• Scaling similarity ranking on large graphs, World Wide Web '21
• Project on spatio-temporal graph analytics, with WMCA and ADEPT Live Labs; post-doctoral researcher position
• Best CS dissertation award to Sean Hooker for his work in our group on sparsification and quantization of deep neural networks
• Project on spatio-temporal ML, with TfWM, Immense Simulations, one.network, blacc, and O2 (Telefonica UK)
• Spatio-temporal forecasting via graph ML, ACM IMWUT '20
• Scalable linkage for large-scale spatio-temporal databases, ACM SIGMOD '20

Biography

Scalable Data Systems and Analytics

• Partitioning Sparse Deep Neural Networks for Scalable Training and Inference

• RoleSim*: Scaling Axiomatic Role-based Similarity Ranking on Large Graphs

• SLIM: Scalable Linkage of Mobility Data
• Cascade-aware Partitioning of Large Graph Databases
• Distributed Block Formation and Layout for Disk-based Management of Large-Scale Graphs
• Topic-Based Influence Computation in Social Networks under Resource Constraints
• VISIR: Visual and Semantic Image Label Refinement
• Scaling Forecasting Algorithms using Clustered Modeling
• ALACA: A Platform for Dynamic Alarm Collection and Alert Notification in Network Management Systems
• Learning to Un-rank: Quantifying Search Exposure for Users in Online Communities
• Aggregate Profile Clustering for Telco Analytics
• Temporal Workload-Aware Replicated Partitioning for Social Networks
• λ-diverse Nearest Neighbors Browsing for Multi-dimensional data
• S3-TM: Scalable Streaming Short Text Matching

Spatial-Temporal Data Management

• Real-World Trajectory Sharing with Local Differential Privacy
• Privacy-Preserving Synthetic Location Data in the Real World
• PPQ-Trajectory: Spatio-temporal Quantization for Querying in Large Trajectory Repositories
• Collective Shortest Paths for Minimizing Congestion on Temporal Load-aware Road Networks
• Spatio-Temporal Linkage over Location-Enhanced Services
• Fair Task Allocation in Crowdsourced Delivery
• Privacy-Preserving Aggregate Queries for Optimal Location Selection
• D3P: Data-driven Demand Prediction for Fast Expanding Electric Vehicle Sharing Systems
• Diverse Relevance Feedback for Time Series with Autoencoder Based Summarizations
• Predicting Optimal Facility Location Without Customer Locations
• Generating Time-Varying Road Network Data Using Sparse Trajectories
• Multi-Vehicle Route Planning for Efficient Urban Freight Transport
• Div-BLAST: Diversification of Sequence Search Results
• LineKing: Coffee Shop Wait-Time Monitoring Using Smartphones
• Diversity based Relevance Feedback for Time Series Search