Zhenzhe Zheng

Orcid: 0000-0003-3447-5349

According to our database1, Zhenzhe Zheng authored at least 97 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
On Designing Market Model and Pricing Mechanisms for IoT Data Exchange.
IEEE Trans. Mob. Comput., November, 2024

ODE: An Online Data Selection Framework for Federated Learning With Limited Storage.
IEEE/ACM Trans. Netw., August, 2024

VAP: Online Data Valuation and Pricing for Machine Learning Models in Mobile Health.
IEEE Trans. Mob. Comput., May, 2024

When Crowdsourcing Meets Data Markets: A Fair Data Value Metric for Data Trading.
J. Comput. Sci. Technol., May, 2024

Federated Optimization Under Intermittent Client Availability.
INFORMS J. Comput., 2024

Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding.
Proceedings of the ACM on Web Conference 2024, 2024

Cost-Effective Active Learning for Bid Exploration in Online Advertising.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

From Second to First: Mixed Censored Multi-Task Learning for Winning Price Prediction.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

LiteMoE: Customizing On-device LLM Serving via Proxy Submodel Tuning.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

On the Analysis of Two-Stage Stochastic Bandit.
Proceedings of the Twenty-fifth International Symposium on Theory, 2024

Preventing Strategic Behaviors in Collaborative Inference for Vertical Federated Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Robust Auto-Bidding Strategies for Online Advertising.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Truthful Bandit Mechanisms for Repeated Two-stage Ad Auctions.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Nebula: An Edge-Cloud Collaborative Learning Framework for Dynamic Edge Environments.
Proceedings of the 53rd International Conference on Parallel Processing, 2024

Mobility-Aware Device Sampling for Statistical Heterogeneity in Hierarchical Federated Learning.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

2023
Capitalize Your Data: Optimal Selling Mechanisms for IoT Data Exchange.
IEEE Trans. Mob. Comput., April, 2023

ECLM: Efficient Edge-Cloud Collaborative Learning with Continuous Environment Adaptation.
CoRR, 2023

Designing Ad Auctions with Private Constraints for Automated Bidding.
CoRR, 2023

LINet: A Location and Intention-Aware Neural Network for Hotel Group Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

To Store or Not? Online Data Selection for Federated Learning with Limited Storage.
Proceedings of the ACM Web Conference 2023, 2023

Boosting Advertising Space: Designing Ad Auctions for Augment Advertising.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Auction Design for Bidders with Ex Post ROI Constraints.
Proceedings of the Web and Internet Economics - 19th International Conference, 2023

Full Index Deep Retrieval: End-to-End User and Item Structures for Cold-start and Long-tail Item Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

A Personalized Automated Bidding Framework for Fairness-aware Online Advertising.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Distributed Model Interpretation for Vertical Federated Learning with Feature Discrepancy.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

Truthful Auctions for Automated Bidding in Online Advertising.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning From Your Neighbours: Mobility-Driven Device-Edge-Cloud Federated Learning.
Proceedings of the 52nd International Conference on Parallel Processing, 2023

Neural Contextual Combinatorial Bandit under Non-stationary Environment.
Proceedings of the IEEE International Conference on Data Mining, 2023

HIT: Learning a Hierarchical Tree-Based Model with Variable-Length Layers for Recommendation Systems.
Proceedings of the Database Systems for Advanced Applications, 2023

CANDY: A Causality-Driven Model for Hotel Dynamic Pricing.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

PSLF: Defending Against Label Leakage in Split Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Enhancing Repeat-Aware Recommendation from a Temporal-Sequential Perspective.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
On Designing Strategy-Proof Budget Feasible Online Mechanisms for Mobile Crowdsensing With Time-Discounting Values.
IEEE Trans. Mob. Comput., 2022

Online Pricing With Reserve Price Constraint for Personal Data Markets.
IEEE Trans. Knowl. Data Eng., 2022

ODE: A Data Sampling Method for Practical Federated Learning with Streaming Data and Limited Buffer.
CoRR, 2022

On Designing a Two-stage Auction for Online Advertising.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

A Comprehensive Study on Personalized Federated Learning with Non-IID Data.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

Online Data Valuation and Pricing for Machine Learning Tasks in Mobile Health.
Proceedings of the IEEE INFOCOM 2022, 2022

Control-based Bidding for Mobile Livestreaming Ads with Exposure Guarantee.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Hierarchically Constrained Adaptive Ad Exposure in Feeds.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Fine-Grained User Profiling for Personalized Task Matching in Mobile Crowdsensing.
IEEE Trans. Mob. Comput., 2021

ERATO: Trading Noisy Aggregate Statistics over Private Correlated Data.
IEEE Trans. Knowl. Data Eng., 2021

Strategy-Proof Online Mechanisms for Weighted AoI Minimization in Edge Computing.
IEEE J. Sel. Areas Commun., 2021

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising.
CoRR, 2021

Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising.
Proceedings of the WSDM '21, 2021

Data-Free Evaluation of User Contributions in Federated Learning.
Proceedings of the 19th International Symposium on Modeling and Optimization in Mobile, 2021

Scaling DCN Models for Indoor White Space Exploration.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

Cost-Sharing Mechanism Design for Social Cost Minimization in Ridesharing Systems.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

We Know What You Want: An Advertising Strategy Recommender System for Online Advertising.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

A Lightweight, Privacy-Preserving Tensor Completion Framework for Internet of Things.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Multi-objective Dynamic Auction Mechanism for Online Advertising.
Proceedings of the IEEE International Performance, 2021

Toward Understanding the Influence of Individual Clients in Federated Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
ARETE: On Designing Joint Online Pricing and Reward Sharing Mechanisms for Mobile Data Markets.
IEEE Trans. Mob. Comput., 2020

Toward Understanding the Influence of Individual Clients in Federated Learning.
CoRR, 2020

Distributed Optimization over Block-Cyclic Data.
CoRR, 2020

Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability.
CoRR, 2020

Generative Adversarial Networks-based Privacy-Preserving 3D Reconstruction.
Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020

Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising.
Proceedings of the 37th International Conference on Machine Learning, 2020

Towards Fine-Grained Indoor White Space Sensing.
Proceedings of the Green, Pervasive, and Cloud Computing - 15th International Conference, 2020

A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Mechanism Design with Predicted Task Revenue for Bike Sharing Systems.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Achieving Data Truthfulness and Privacy Preservation in Data Markets.
IEEE Trans. Knowl. Data Eng., 2019

Optimal Search Segmentation Mechanisms for Online Platform Markets.
Proceedings of the Web and Internet Economics - 15th International Conference, 2019

Making Big Money from Small Sensors: Trading Time-Series Data under Pufferfish Privacy.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Pricing for Revenue Maximization in IoT Data Markets: An Information Design Perspective.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Challenges and Opportunities in IoT Data Markets.
Proceedings of the Fourth International Workshop on Social Sensing, 2019

2018
Unlocking the Value of Privacy: Trading Aggregate Statistics over Private Correlated Data.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Pricing for Revenue Maximization in Inter-DataCenter Networks.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Towards Personalized Task Matching in Mobile Crowdsensing via Fine-Grained User Profiling.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

On Designing Optimal Data Purchasing Strategies for Online Ad Auctions.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
A Budget Feasible Incentive Mechanism for Weighted Coverage Maximization in Mobile Crowdsensing.
IEEE Trans. Mob. Comput., 2017

Trading Data in the Crowd: Profit-Driven Data Acquisition for Mobile Crowdsensing.
IEEE J. Sel. Areas Commun., 2017

ERA: Towards privacy preservation and verifiability for online ad exchanges.
J. Netw. Comput. Appl., 2017

An Online Pricing Mechanism for Mobile Crowdsensing Data Markets.
Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2017

Fault tolerant mechanism design for time coverage in crowdsensing system.
Proceedings of the 36th IEEE International Performance Computing and Communications Conference, 2017

Context-aware data quality estimation in mobile crowdsensing.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Trading Data in Good Faith: Integrating Truthfulness and Privacy Preservation in Data Markets.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Mechanism Design for Mobile Crowdsensing with Execution Uncertainty.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Trust-based time series data model for mobile crowdsensing.
Proceedings of the IEEE International Conference on Communications, 2017

2016
AEGIS: An Unknown Combinatorial Auction Mechanism Framework for Heterogeneous Spectrum Redistribution in Noncooperative Wireless Networks.
IEEE/ACM Trans. Netw., 2016

MAPM: Movement-Based Adaptive Prediction Mechanism for Energy Conservation in Body Sensor Networks.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

Strategy-Proof Data Auctions with Negative Externalities: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015
A Strategy-Proof Combinatorial Heterogeneous Channel Auction Framework in Noncooperative Wireless Networks.
IEEE Trans. Mob. Comput., 2015

STAR: Strategy-Proof Double Auctions for Multi-Cloud, Multi-Tenant Bandwidth Reservation.
IEEE Trans. Computers, 2015

An Efficient, Privacy-Preserving, and Verifiable Online Auction Mechanism for Ad Exchanges.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

2014
Unknown combinatorial auction mechanisms for heterogeneous spectrum redistribution.
Proceedings of the Fifteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2014

SOAR: Strategy-proof auction mechanisms for distributed cloud bandwidth reservation.
Proceedings of the IEEE International Conference on Communication Systems, 2014

A Strategy-Proof Online Auction with Time Discounting Values.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
SMASHER: a strategy-proof combinatorial auction mechanism for heterogeneous channel redistribution.
Proceedings of the Fourteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2013

SAIL: A Strategy-Proof Auction Mechanism for Cooperative Communication.
Proceedings of the 19th IEEE International Conference on Parallel and Distributed Systems, 2013


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