Yu Yang

Orcid: 0000-0003-1627-5503

Affiliations:
  • Lehigh University, Bethlehem, PA, USA
  • Rutgers University, New Brunswick, NJ, USA (former)


According to our database1, Yu Yang authored at least 47 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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

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


  Loading...