Zhenzhe Zheng
Orcid: 0000-0003-3447-5349
According to our database1,
Zhenzhe Zheng
authored at least 89 papers
between 2013 and 2024.
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Bibliography
2024
IEEE Trans. Mob. Comput., May, 2024
J. Comput. Sci. Technol., May, 2024
INFORMS J. Comput., 2024
Proceedings of the ACM on Web Conference 2024, 2024
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
Nebula: An Edge-Cloud Collaborative Learning Framework for Dynamic Edge Environments.
Proceedings of the 53rd International Conference on Parallel Processing, 2024
2023
IEEE Trans. Mob. Comput., April, 2023
ECLM: Efficient Edge-Cloud Collaborative Learning with Continuous Environment Adaptation.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
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
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
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the 52nd International Conference on Parallel Processing, 2023
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
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
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
IEEE Trans. Knowl. Data Eng., 2022
ODE: A Data Sampling Method for Practical Federated Learning with Streaming Data and Limited Buffer.
CoRR, 2022
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
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022
Proceedings of the IEEE INFOCOM 2022, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
IEEE Trans. Mob. Comput., 2021
IEEE Trans. Knowl. Data Eng., 2021
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
Proceedings of the 19th International Symposium on Modeling and Optimization in Mobile, 2021
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021
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
Proceedings of the IEEE International Performance, 2021
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
CoRR, 2020
Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability.
CoRR, 2020
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
Proceedings of the Green, Pervasive, and Cloud Computing - 15th International Conference, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
IEEE Trans. Knowl. Data Eng., 2019
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
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
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
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
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
IEEE J. Sel. Areas Commun., 2017
J. Netw. Comput. Appl., 2017
Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2017
Proceedings of the 36th IEEE International Performance Computing and Communications Conference, 2017
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
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
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
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
Proceedings of the Fifteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2014
Proceedings of the IEEE International Conference on Communication Systems, 2014
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
Proceedings of the 19th IEEE International Conference on Parallel and Distributed Systems, 2013