2024
AddrLLM: Address Rewriting via Large Language Model on Nationwide Logistics Data.
CoRR, 2024
Language-centered Human Activity Recognition.
CoRR, 2024
Robust Route Planning under Uncertain Pickup Requests for Last-mile Delivery.
Proceedings of the ACM on Web Conference 2024, 2024
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Human Preference-aware Rebalancing and Charging for Shared Electric Micromobility Vehicles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Targeted Adaptive Non-Intrusive Load Monitoring.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024
Improving Network Robustness via Cellular Infrastructure Sharing: An Empirical Study of Infrastructure Failure with All Cellular Operators in a City.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024
Adaptive Cross-platform Transportation Time Prediction for Logistics.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
A Behavior-aware Cause Identification Framework for Order Cancellation in Logistics Service.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
AdaTrans: Adaptive Transfer Time Prediction for Multi-modal Transportation Modes.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
MalLight: Influence-Aware Coordinated Traffic Signal Control for Traffic Signal Malfunctions.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Behavior-Aware Hypergraph Convolutional Network for Illegal Parking Prediction with Multi-Source Contextual Information.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Behavior-aware Sparse Trajectory Recovery in Last-mile Delivery with Multi-scale Attention Fusion.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
DECO: Cooperative Order Dispatching for On-Demand Delivery with Real-Time Encounter Detection.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Large-scale trajectory prediction via relationship-aware adaptive hierarchical graph learning.
CCF Trans. Pervasive Comput. Interact., December, 2023
Nationwide Deployment and Operation of a Virtual Arrival Detection System in the Wild.
IEEE/ACM Trans. Netw., April, 2023
GCRL: Efficient Delivery Area Assignment for Last-mile Logistics with Group-based Cooperative Reinforcement Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
REDE: Exploring Relay Transportation for Efficient Last-mile Delivery.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Joint Rebalancing and Charging for Shared Electric Micromobility Vehicles with Human-system Interaction.
Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023
RLIFE: Remaining Lifespan Prediction for E-scooters.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
CARPG: Cross-City Knowledge Transfer for Traffic Accident Prediction via Attentive Region-Level Parameter Generation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Identifying Regional Driving Risks via Transductive Cross-City Transfer Learning Under Negative Transfer.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Logistics Audience Expansion via Temporal Knowledge Graph.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Joint Rebalancing and Charging for Shared Electric Micromobility Vehicles with Energy-informed Demand.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
From Conception to Retirement: A Lifetime Story of a 3-Year-Old Wireless Beacon System in the Wild.
IEEE/ACM Trans. Netw., 2022
VeMo: Enable Transparent Vehicular Mobility Modeling at Individual Levels With Full Penetration.
IEEE Trans. Mob. Comput., 2022
P2-Loc: A Person-2-Person Indoor Localization System in On-Demand Delivery.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022
Para-Pred: Addressing Heterogeneity for City-Wide Indoor Status Estimation in On-Demand Delivery.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
$O^{2}$-SiteRec: Store Site Recommendation under the O2O Model via Multi-graph Attention Networks.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
BikeCAP: Deep Spatial-temporal Capsule Network for Multi-step Bike Demand Prediction.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022
FastAddr: real-time abnormal address detection via contrastive augmentation for location-based services.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
Towards Fair Workload Assessment via Homogeneous Order Grouping in Last-mile Delivery.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Mover: Generalizability Verification of Human Mobility Models via Heterogeneous Use Cases.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021
ALWAES: an Automatic Outdoor Location-Aware Correction System for Online Delivery Platforms.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021
CellSense: Human Mobility Recovery via Cellular Network Data Enhancement.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021
MoCha: Large-Scale Driving Pattern Characterization for Usage-based Insurance.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
2020
Extending Coverage of Stationary Sensing Systems with Mobile Sensing Systems for Human Mobility Modeling.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
CellPred: A Behavior-aware Scheme for Cellular Data Usage Prediction.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
TransLoc: transparent indoor localization with uncertain human participation for instant delivery.
Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020
2019
MAC: Measuring the Impacts of Anomalies on Travel Time of Multiple Transportation Systems.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019
Vehicular mobility modeling based on heterogeneous sensor networks: poster abstract.
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019
VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration.
Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019
2018
SharedEdge: GPS-Free Fine-Grained Travel Time Estimation in State-Level Highway Systems.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
coSense: Collaborative Urban-Scale Vehicle Sensing Based on Heterogeneous Fleets.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
2017
Your Search Path Tells Others Where to Park: Towards Fine-Grained Parking Availability Crowdsourcing Using Parking Decision Models.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
HySense: A Hybrid Mobile CrowdSensing Framework for Sensing Opportunities Compensation under Dynamic Coverage Constraint.
IEEE Commun. Mag., 2017
2016
Collaborative Graph Embedding: A Simple Way to Generally Enhance Subspace Learning Algorithms.
IEEE Trans. Circuits Syst. Video Technol., 2016
RAQ-A Random Forest Approach for Predicting Air Quality in Urban Sensing Systems.
Sensors, 2016
2015
Class specific sparse representation for classification.
Signal Process., 2015