Zhou Qin

Orcid: 0000-0002-1641-772X

Affiliations:
  • Rutgers University, Department of Computer Science, New Brunswick, NJ, USA


According to our database1, Zhou Qin authored at least 17 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Design and Evaluation of Whole-Page Experience Optimization for E-commerce Search.
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2024
Towards Accessible Shared Autonomous Electric Mobility With Dynamic Deadlines.
IEEE Trans. Mob. Comput., January, 2024

Offline Multi-Objective Optimization (OMOO) in Search Page Layout Optimization Using Off-policy Evaluation.
Proceedings of the ACM SIGIR Workshop on eCommerce 2024 co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), 2024

Cooperative Multi-Agent Deep Reinforcement Learning In Content Ranking Optimization.
Proceedings of the ACM SIGIR Workshop on eCommerce 2024 co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), 2024

2022
TransRisk: Mobility Privacy Risk Prediction based on Transferred Knowledge.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Automate Page Layout Optimization: An Offline Deep Q-Learning Approach.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021
A Measurement Framework for Explicit and Implicit Urban Traffic Sensing.
ACM Trans. Sens. Networks, July, 2021

HERMAS: A Human Mobility Embedding Framework with Large-scale Cellular Signaling Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Record: Joint Real-Time Repositioning and Charging for Electric Carsharing with Dynamic Deadlines.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
MIFF: Human Mobility Extractions with Cellular Signaling Data under Spatio-temporal Uncertainty.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

MIMU: Mobile WiFi Usage Inference by Mining Diverse User Behaviors.
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

PrivateBus: Privacy Identification and Protection in Large-Scale Bus WiFi Systems.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
A neural networks based caching scheme for mobile edge networks: poster abstract.
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

2018
Soft Sensing in Smart Cities: Handling 3Vs Using Recommender Systems, Machine Intelligence, and Data Analytics.
IEEE Commun. Mag., 2018

EXIMIUS: A Measurement Framework for Explicit and Implicit Urban Traffic Sensing.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018


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