Zhenzhe Zheng

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 105

Top Venues

CoRR

CIKM

IEEE Trans. Mob. Comput.

KDD

Publications

Yan Zhuang, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen
Nebula: An Edge-Cloud Collaborative Learning Framework for Dynamic Edge Environments. ICPP (2024)
Haoming Li, Yumou Liu, Zhenzhe Zheng, Zhilin Zhang, Jian Xu, Fan Wu
Truthful Bandit Mechanisms for Repeated Two-stage Ad Auctions. KDD (2024)
Yidan Xing, Zhenzhe Zheng, Fan Wu
Preventing Strategic Behaviors in Collaborative Inference for Vertical Federated Learning. KDD (2024)
Zixiao Wang, Zhenzhe Zheng, Yanrong Kang, Jiani Huang
Cost-Effective Active Learning for Bid Exploration in Online Advertising. WSDM (2024)
Haoming Li, Yusen Huo, Shuai Dou, Zhenzhe Zheng, Zhilin Zhang, Chuan Yu, Jian Xu, Fan Wu
Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding. WWW (2024)
Haoming Li, Yusen Huo, Shuai Dou, Zhenzhe Zheng, Zhilin Zhang, Chuan Yu, Jian Xu, Fan Wu
Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding. CoRR (2024)
Yangsu Liu, Zhenzhe Zheng, Fan Wu, Guihai Chen
When Crowdsourcing Meets Data Markets: A Fair Data Value Metric for Data Trading. J. Comput. Sci. Technol. 39 (3) (2024)
Yikai Yan, Chaoyue Niu, Yucheng Ding, Zhenzhe Zheng, Shaojie Tang, Qinya Li, Fan Wu, Chengfei Lyu, Yanghe Feng, Guihai Chen
Federated Optimization Under Intermittent Client Availability. INFORMS J. Comput. 36 (1) (2024)
Jiani Huang, Zhenzhe Zheng, Yanrong Kang, Zixiao Wang
From Second to First: Mixed Censored Multi-Task Learning for Winning Price Prediction. WSDM (2024)
Zhen Gong, Lvyin Niu, Yang Zhao, Miao Xu, Zhenzhe Zheng, Haoqi Zhang, Zhilin Zhang, Fan Wu, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng
MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising. CoRR (2024)
Qilong Lin, Zhenzhe Zheng, Fan Wu
Robust Auto-Bidding Strategies for Online Advertising. KDD (2024)
Anran Xu, Zhenzhe Zheng, Qinya Li, Fan Wu, Guihai Chen
VAP: Online Data Valuation and Pricing for Machine Learning Models in Mobile Health. IEEE Trans. Mob. Comput. 23 (5) (2024)
Anran Xu, Shuo Yang, Shuai Li, Zhenzhe Zheng, LingLing Yao, Fan Wu, Guihai Chen, Jie Jiang
HIT: Learning a Hierarchical Tree-Based Model with Variable-Length Layers for Recommendation Systems. DASFAA (2) (2023)
Zhen Gong, Xin Wu, Lei Chen, Zhenzhe Zheng, Shengjie Wang, Anran Xu, Chong Wang, Fan Wu
Full Index Deep Retrieval: End-to-End User and Item Structures for Cold-start and Long-tail Item Recommendation. RecSys (2023)
Hongtao Lv, Xiaohui Bei, Zhenzhe Zheng, Fan Wu
Auction Design for Bidders with Ex Post ROI Constraints. WINE (2023)
Qinya Li, Zun Li, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Zhao Zhang, Guihai Chen
Capitalize Your Data: Optimal Selling Mechanisms for IoT Data Exchange. IEEE Trans. Mob. Comput. 22 (4) (2023)
Haoqi Zhang, Lvyin Niu, Zhenzhe Zheng, Zhilin Zhang, Shan Gu, Fan Wu, Chuan Yu, Jian Xu, Guihai Chen, Bo Zheng
A Personalized Automated Bidding Framework for Fairness-aware Online Advertising. KDD (2023)
Hongtao Lv, Xiaohui Bei, Zhenzhe Zheng, Fan Wu
Auction Design for Bidders with Ex Post ROI Constraints. CoRR (2023)
Hongtao Lv, Zhilin Zhang, Zhenzhe Zheng, Jinghan Liu, Chuan Yu, Lei Liu, Lizhen Cui, Fan Wu
Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising. AAAI (2023)
Yidan Xing, Zhilin Zhang, Zhenzhe Zheng, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen
Designing Ad Auctions with Private Constraints for Automated Bidding. CoRR (2023)
Yidan Xing, Zhilin Zhang, Zhenzhe Zheng, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen
Truthful Auctions for Automated Bidding in Online Advertising. IJCAI (2023)
Rui Xing, Zhenzhe Zheng, Qinya Li, Fan Wu, Guihai Chen
Distributed Model Interpretation for Vertical Federated Learning with Feature Discrepancy. IWQoS (2023)
Yan Zhuang, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen
ECLM: Efficient Edge-Cloud Collaborative Learning with Continuous Environment Adaptation. CoRR (2023)
Ruitao Zhu, Wendong Xiao, Yao Yu, Yizhi Yu, Zhenzhe Zheng, Ke Bu, Dong Li, Fan Wu
CANDY: A Causality-Driven Model for Hotel Dynamic Pricing. CIKM (2023)
Yangsu Liu, Dagui Chen, Zhenzhe Zheng, Zhilin Zhang, Chuan Yu, Fan Wu, Guihai Chen
Boosting Advertising Space: Designing Ad Auctions for Augment Advertising. WSDM (2023)
Jiaqi Zheng, Hedi Gao, Haipeng Dai, Zhenzhe Zheng, Fan Wu
Neural Contextual Combinatorial Bandit under Non-stationary Environment. ICDM (2023)
Shigang Quan, Hailong Tan, Shui Liu, Zhenzhe Zheng, Ruihao Zhu, Liangyue Li, Quan Lu, Fan Wu
MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking. CIKM (2023)
Songli Zhang, Zhenzhe Zheng, Fan Wu, Bingshuai Li, Yunfeng Shao, Guihai Chen
Learning From Your Neighbours: Mobility-Driven Device-Edge-Cloud Federated Learning. ICPP (2023)
Zhen Gong, Lvyin Niu, Yang Zhao, Miao Xu, Haoqi Zhang, Zhenzhe Zheng, Zhilin Zhang, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng, Fan Wu
MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising. CIKM (2023)
Ruitao Zhu, Detao Lv, Yao Yu, Ruihao Zhu, Zhenzhe Zheng, Ke Bu, Quan Lu, Fan Wu
LINet: A Location and Intention-Aware Neural Network for Hotel Group Recommendation. WWW (2023)
Chen Gong, Zhenzhe Zheng, Fan Wu, Yunfeng Shao, Bingshuai Li, Guihai Chen
To Store or Not? Online Data Selection for Federated Learning with Limited Storage. WWW (2023)
Shigang Quan, Shui Liu, Zhenzhe Zheng, Fan Wu
Enhancing Repeat-Aware Recommendation from a Temporal-Sequential Perspective. CIKM (2023)
Xinwei Wan, Jiankai Sun, Shengjie Wang, Lei Chen, Zhenzhe Zheng, Fan Wu, Guihai Chen
PSLF: Defending Against Label Leakage in Split Learning. CIKM (2023)
Dagui Chen, Qi Yan, Chunjie Chen, Zhenzhe Zheng, Yangsu Liu, Zhenjia Ma, Chuan Yu, Jian Xu, Bo Zheng
Hierarchically Constrained Adaptive Ad Exposure in Feeds. CoRR (2022)
Da Huo, Zhilin Zhang, Zhenzhe Zheng, Chuan Yu, Jian Xu, Fan Wu
Learning Optimal Deterministic Auctions with Correlated Valuation Distributions. CoRR (2022)
Chen Gong, Zhenzhe Zheng, Fan Wu, Bingshuai Li, Yunfeng Shao, Guihai Chen
ODE: A Data Sampling Method for Practical Federated Learning with Streaming Data and Limited Buffer. CoRR (2022)
Menghang Yu, Zhenzhe Zheng, Qinya Li, Fan Wu, Jiaqi Zheng
A Comprehensive Study on Personalized Federated Learning with Non-IID Data. ISPA/BDCloud/SocialCom/SustainCom (2022)
Anran Xu, Zhenzhe Zheng, Fan Wu, Guihai Chen
Online Data Valuation and Pricing for Machine Learning Tasks in Mobile Health. INFOCOM (2022)
Dagui Chen, Qi Yan, Chunjie Chen, Zhenzhe Zheng, Yangsu Liu, Zhenjia Ma, Chuan Yu, Jian Xu, Bo Zheng
Hierarchically Constrained Adaptive Ad Exposure in Feeds. CIKM (2022)
Yiqing Wang, Xiangyu Liu, Zhenzhe Zheng, Zhilin Zhang, Miao Xu, Chuan Yu, Fan Wu
On Designing a Two-stage Auction for Online Advertising. WWW (2022)
Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen
Online Pricing With Reserve Price Constraint for Personal Data Markets. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu, Bo Zheng
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. WSDM (2022)
Zhenzhe Zheng, Shuo Yang, Jiapeng Xie, Fan Wu, Xiaofeng Gao, Guihai Chen
On Designing Strategy-Proof Budget Feasible Online Mechanisms for Mobile Crowdsensing With Time-Discounting Values. IEEE Trans. Mob. Comput. 21 (6) (2022)
Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Haiyang Xu, Jian Xu
Control-based Bidding for Mobile Livestreaming Ads with Exposure Guarantee. CIKM (2022)
Hongtao Lv, Zhilin Zhang, Zhenzhe Zheng, Jinghan Liu, Chuan Yu, Lei Liu, Lizhen Cui, Fan Wu
Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising. CoRR (2022)
Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. CoRR (2021)
Fan Wu, Shuo Yang, Zhenzhe Zheng, Shaojie Tang, Guihai Chen
Fine-Grained User Profiling for Personalized Task Matching in Mobile Crowdsensing. IEEE Trans. Mob. Comput. 20 (10) (2021)
Liyi Guo, Junqi Jin, Haoqi Zhang, Zhenzhe Zheng, Zhiye Yang, Zhizhuang Xing, Fei Pan, Fan Wu, Lvyin Niu, Haiyang Xu, Chuan Yu, Yuning Jiang, Xiaoqiang Zhu
We Know What You Want: An Advertising Strategy Recommender System for Online Advertising. CoRR (2021)
Liyi Guo, Junqi Jin, Haoqi Zhang, Zhenzhe Zheng, Zhiye Yang, Zhizhuang Xing, Fei Pan, Lvyin Niu, Fan Wu, Haiyang Xu, Chuan Yu, Yuning Jiang, Xiaoqiang Zhu
We Know What You Want: An Advertising Strategy Recommender System for Online Advertising. KDD (2021)
Yangsu Liu, Chaoli Zhang, Zhenzhe Zheng, Guihai Chen
Cost-Sharing Mechanism Design for Social Cost Minimization in Ridesharing Systems. WASA (2) (2021)
Shuyu Wu, Linghe Kong, Qiao Xiang, Zhenzhe Zheng, Luoyi Fu, Guihai Chen
A Lightweight, Privacy-Preserving Tensor Completion Framework for Internet of Things. ISPA/BDCloud/SocialCom/SustainCom (2021)
Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Xiaofeng Gao, Guihai Chen
ERATO: Trading Noisy Aggregate Statistics over Private Correlated Data. IEEE Trans. Knowl. Data Eng. 33 (3) (2021)
Yiqing Wang, Xiangyu Liu, Zhenzhe Zheng, Zhilin Zhang, Miao Xu, Chuan Yu, Fan Wu
On Designing a Two-stage Auction for Online Advertising. CoRR (2021)
Hongtao Lv, Zhenzhe Zheng, Tie Luo, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv
Data-Free Evaluation of User Contributions in Federated Learning. WiOpt (2021)
Xiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng, Yu Rong, Hongtao Lv, Da Huo, Yiqing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising. KDD (2021)
Hongtao Lv, Zhenzhe Zheng, Tie Luo, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv
Data-Free Evaluation of User Contributions in Federated Learning. CoRR (2021)
Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. WSDM (2021)
Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lyu, Fan Wu, Guihai Chen
Toward Understanding the Influence of Individual Clients in Federated Learning. AAAI (2021)
Xiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng, Yu Rong, Hongtao Lv, Da Huo, Yiqing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising. CoRR (2021)
Hongtao Lv, Zhenzhe Zheng, Fan Wu, Guihai Chen
Strategy-Proof Online Mechanisms for Weighted AoI Minimization in Edge Computing. IEEE J. Sel. Areas Commun. 39 (5) (2021)
Yunlong Xiang, Zhenzhe Zheng, Yuben Qu, Guihai Chen
Scaling DCN Models for Indoor White Space Exploration. WASA (2) (2021)
Yiqing Wang, Junqi Jin, Zhenzhe Zheng, Haiyang Xu, Fan Wu, Yuning Jiang, Guihai Chen
Multi-objective Dynamic Auction Mechanism for Online Advertising. IPCCC (2021)
Hongtao Lv, Chaoli Zhang, Zhenzhe Zheng, Tie Luo, Fan Wu, Guihai Chen
Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. AAAI (2020)
Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. CoRR (2020)
Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. CoRR (2020)
Fan Wu, Yunlong Xiang, Zhenzhe Zheng, Yuben Qu, Xiaofeng Gao, Linghe Kong, Guihai Chen, Biao Liu
Towards Fine-Grained Indoor White Space Sensing. GPC (2020)
Qinya Li, Zhenzhe Zheng, Fan Wu, Guihai Chen
Generative Adversarial Networks-based Privacy-Preserving 3D Reconstruction. IWQoS (2020)
Liyi Guo, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu, Kun Gai
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction. CoRR (2020)
Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. ICML (2020)
Zhenzhe Zheng, Yanqing Peng, Fan Wu, Shaojie Tang, Guihai Chen
ARETE: On Designing Joint Online Pricing and Reward Sharing Mechanisms for Mobile Data Markets. IEEE Trans. Mob. Comput. 19 (4) (2020)
Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen
Online Pricing with Reserve Price Constraint for Personal Data Markets. ICDE (2020)
Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. CoRR (2020)
Liyi Guo, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu, Kun Gai
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction. CIKM (2020)
Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lv, Fan Wu, Guihai Chen
Toward Understanding the Influence of Individual Clients in Federated Learning. CoRR (2020)
Yucheng Ding, Chaoyue Niu, Yikai Yan, Zhenzhe Zheng, Fan Wu, Guihai Chen, Shaojie Tang, Rongfei Jia
Distributed Optimization over Block-Cyclic Data. CoRR (2020)
Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. IJCAI (2020)
Yikai Yan, Chaoyue Niu, Yucheng Ding, Zhenzhe Zheng, Fan Wu, Guihai Chen, Shaojie Tang, Zhihua Wu
Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability. CoRR (2020)
Zhenzhe Zheng, Weichao Mao, Fan Wu, Guihai Chen
Challenges and Opportunities in IoT Data Markets. SocialSens@CPSIoTWeek (2019)
Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen
Online Pricing with Reserve Price Constraint for Personal Data Markets. CoRR (2019)
Hongtao Lv, Chaoli Zhang, Zhenzhe Zheng, Tie Luo, Fan Wu, Guihai Chen
Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. CoRR (2019)
Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Xiaofeng Gao, Fan Wu
Making Big Money from Small Sensors: Trading Time-Series Data under Pufferfish Privacy. INFOCOM (2019)
Zhenzhe Zheng, R. Srikant
Optimal Search Segmentation Mechanisms for Online Platform Markets. CoRR (2019)
Weichao Mao, Zhenzhe Zheng, Fan Wu
Pricing for Revenue Maximization in IoT Data Markets: An Information Design Perspective. INFOCOM (2019)
Zhenzhe Zheng, R. Srikant
Optimal Search Segmentation Mechanisms for Online Platform Markets. WINE (2019)
Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Xiaofeng Gao, Guihai Chen
Achieving Data Truthfulness and Privacy Preservation in Data Markets. IEEE Trans. Knowl. Data Eng. 31 (1) (2019)
Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Xiaofeng Gao, Guihai Chen
Achieving Data Truthfulness and Privacy Preservation in Data Markets. CoRR (2018)
Shuo Yang, Kunyan Han, Zhenzhe Zheng, Shaojie Tang, Fan Wu
Towards Personalized Task Matching in Mobile Crowdsensing via Fine-Grained User Profiling. INFOCOM (2018)
Weichao Mao, Zhenzhe Zheng, Fan Wu, Guihai Chen
Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations. IJCAI (2018)
Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Xiaofeng Gao, Guihai Chen
Unlocking the Value of Privacy: Trading Aggregate Statistics over Private Correlated Data. KDD (2018)
Zhenzhe Zheng, R. Srikant, Guihai Chen
Pricing for Revenue Maximization in Inter-DataCenter Networks. INFOCOM (2018)
Shuo Yang, Zhenzhe Zheng, Shaojie Tang, Fan Wu, Guihai Chen
Fine-Grained User Profiling for Personalized Task Matching in Mobile Crowdsensing. CoRR (2018)
Chaoyue Niu, Minping Zhou, Zhenzhe Zheng, Fan Wu, Guihai Chen
ERA: Towards Privacy Preservation and Verifiability for Online Ad Exchanges. CoRR (2018)
Zun Li, Zhenzhe Zheng, Fan Wu, Guihai Chen
On Designing Optimal Data Purchasing Strategies for Online Ad Auctions. AAMAS (2018)
Zhenzhe Zheng, Yanqing Peng, Fan Wu, Shaojie Tang, Guihai Chen
Trading Data in the Crowd: Profit-Driven Data Acquisition for Mobile Crowdsensing. IEEE J. Sel. Areas Commun. 35 (2) (2017)
Zhenzhe Zheng, Yanqing Peng, Fan Wu, Shaojie Tang, Guihai Chen
An Online Pricing Mechanism for Mobile Crowdsensing Data Markets. MobiHoc (2017)
Chaoyue Niu, Minping Zhou, Zhenzhe Zheng, Fan Wu, Guihai Chen
ERA: Towards privacy preservation and verifiability for online ad exchanges. J. Netw. Comput. Appl. 98 (2017)
Xiao Ma, Zhenzhe Zheng, Fan Wu, Guihai Chen
Trust-based time series data model for mobile crowdsensing. ICC (2017)
Yangsu Liu, Zhenzhe Zheng, Fan Wu, Xiaofeng Gao, Guihai Chen
Fault tolerant mechanism design for time coverage in crowdsensing system. IPCCC (2017)
Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Xiaofeng Gao, Guihai Chen
Trading Data in Good Faith: Integrating Truthfulness and Privacy Preservation in Data Markets. ICDE (2017)
Zhenzhe Zheng, Zhaoxiong Yang, Fan Wu, Guihai Chen
Mechanism Design for Mobile Crowdsensing with Execution Uncertainty. ICDCS (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhenzhe Zheng