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Zhenzhe Zheng

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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.

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2025
[j9]
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Rui Xing, Zhenzhe Zheng, Qinya Li, Fan Wu, Guihai Chen:
MI-VFL: Feature discrepancy-aware distributed model interpretation for vertical federated learning. Comput. Networks 263: 111220 (2025)
[j8]
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Enze Yu, Haipeng Dai, Haihan Zhang, Zhenzhe Zheng, Jun Zhao, Guihai Chen:
Prototype-Based Collaborative Learning in UAV-Assisted Edge Computing Networks. Softw. Pract. Exp. 55(5): 829-846 (2025)
[c42]
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Zhuomin He, Yizhen Yao, Pengfei Zuo, Bin Gao, Qinya Li, Zhenzhe Zheng, Fan Wu:
AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference. AAAI 2025: 24050-24058
[c41]
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Wenjing Li, Zhao Li, Xuanwu Liu, Ruihao Zhu, Zhenzhe Zheng, Fan Wu:
Optimizing the Battery-Swapping Problem in Urban E-Bike Systems with Reinforcement Learning. IJCAI 2025: 9259-9267
[i28]
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Zhuomin He, Yizhen Yao, Pengfei Zuo, Bin Gao, Qinya Li, Zhenzhe Zheng, Fan Wu:
AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference. CoRR abs/2501.02336 (2025)
[i27]
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  - journals/corr/abs-2505-16563
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Chen Gong, Rui Xing, Zhenzhe Zheng, Fan Wu:
A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices. CoRR abs/2505.16563 (2025)
[i26]
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  - journals/corr/abs-2506-08442
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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. CoRR abs/2506.08442 (2025)
[i25]
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  - journals/corr/abs-2506-08531
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Shigang Quan, Shui Liu, Zhenzhe Zheng, Fan Wu:
TSRec: Enhancing Repeat-Aware Recommendation from a Temporal-Sequential Perspective. CoRR abs/2506.08531 (2025)
[i24]
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  - journals/corr/abs-2508-18850
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Xinhao Luo, Zihan Liu, Yangjie Zhou, Shihan Fang, Ziyu Huang, Yu Feng, Chen Zhang, Shixuan Sun, Zhenzhe Zheng, Jingwen Leng, Minyi Guo:
ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive. CoRR abs/2508.18850 (2025)
[i23]
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  - journals/corr/abs-2511-17639
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Yibing Wan, Zhengxiong Guan, Chaoli Zhang, Xiaoyang Li, Lai Xu, Beibei Jia, Zhenzhe Zheng, Fan Wu:
TTF: A Trapezoidal Temporal Fusion Framework for LTV Forecasting in Douyin. CoRR abs/2511.17639 (2025)
2024
[j7]
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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): 671-690 (2024)
[c40]
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Songli Zhang, Zhenzhe Zheng, Qinya Li, Fan Wu, Guihai Chen:
Mobility-Aware Device Sampling for Statistical Heterogeneity in Hierarchical Federated Learning. ICDCS 2024: 656-667
[c39]
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Zefu Wang, Zhenzhe Zheng, Fan Wu:
CAUDA: Cloud-assisted Active Unsupervised Domain Adaptation for On-device Learning. IPCCC 2024: 1-7
[i22]
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  - journals/corr/abs-2410-18378
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Chen Gong, Zhenzhe Zheng, Fan Wu, Xiaofeng Jia, Guihai Chen:
Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning. CoRR abs/2410.18378 (2024)
2023
[c38]
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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: 5789-5796
[c37]
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Jiaqi Zheng, Hedi Gao, Haipeng Dai, Zhenzhe Zheng, Fan Wu:
Neural Contextual Combinatorial Bandit under Non-stationary Environment. ICDM 2023: 878-887
[c36]
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Yidan Xing, Zhilin Zhang, Zhenzhe Zheng, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen:
Truthful Auctions for Automated Bidding in Online Advertising. IJCAI 2023: 2915-2922
[c35]
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Rui Xing, Zhenzhe Zheng, Qinya Li, Fan Wu, Guihai Chen:
Distributed Model Interpretation for Vertical Federated Learning with Feature Discrepancy. IWQoS 2023: 1-10
[c34]
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  - conf/wine/LvBZW23
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Hongtao Lv, Xiaohui Bei, Zhenzhe Zheng, Fan Wu:
Auction Design for Bidders with Ex Post ROI Constraints. WINE 2023: 492-508
[i21]
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  - journals/corr/abs-2301-13020
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Yidan Xing, Zhilin Zhang, Zhenzhe Zheng, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen:
Designing Ad Auctions with Private Constraints for Automated Bidding. CoRR abs/2301.13020 (2023)
[i20]
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  - journals/corr/abs-2310-02064
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Hongtao Lv, Xiaohui Bei, Zhenzhe Zheng, Fan Wu:
Auction Design for Bidders with Ex Post ROI Constraints. CoRR abs/2310.02064 (2023)
[i19]
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  - journals/corr/abs-2311-11083
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Yan Zhuang, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen:
ECLM: Efficient Edge-Cloud Collaborative Learning with Continuous Environment Adaptation. CoRR abs/2311.11083 (2023)
2022
[c33]
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Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Haiyang Xu, Jian Xu:
Control-based Bidding for Mobile Livestreaming Ads with Exposure Guarantee. CIKM 2022: 2539-2548
[c32]
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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: 3003-3012
[c31]
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Anran Xu, Zhenzhe Zheng, Fan Wu, Guihai Chen:
Online Data Valuation and Pricing for Machine Learning Tasks in Mobile Health. INFOCOM 2022: 850-859
[c30]
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  - conf/ispa/YuZLWZ22
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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: 40-49
[c29]
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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: 1129-1139
[c28]
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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: 90-99
[i18]
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  - journals/corr/abs-2205-15759
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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 abs/2205.15759 (2022)
[i17]
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  - journals/corr/abs-2209-00195
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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 abs/2209.00195 (2022)
[i16]
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  - journals/corr/abs-2211-16251
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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 abs/2211.16251 (2022)
2021
[c27]
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  - conf/aaai/XueNZTL0C21
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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: 10560-10567
[c26]
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Yiqing Wang, Junqi Jin, Zhenzhe Zheng, Haiyang Xu, Fan Wu, Yuning Jiang, Guihai Chen:
Multi-objective Dynamic Auction Mechanism for Online Advertising. IPCCC 2021: 1-8
[c25]
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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: 2919-2927
[c24]
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Yangsu Liu, Chaoli Zhang, Zhenzhe Zheng, Guihai Chen:
Cost-Sharing Mechanism Design for Social Cost Minimization in Ridesharing Systems. WASA (2) 2021: 277-289
[c23]
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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: 81-88
[c22]
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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: 993-1001
[i15]
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  - journals/corr/abs-2105-14188
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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 abs/2105.14188 (2021)
[i14]
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  - journals/corr/abs-2106-06224
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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 abs/2106.06224 (2021)
[i13]
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  - journals/corr/abs-2108-10623
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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 abs/2108.10623 (2021)
[i12]
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  - journals/corr/abs-2111-05555
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Yiqing Wang, Xiangyu Liu, Zhenzhe Zheng, Zhilin Zhang, Miao Xu, Chuan Yu, Fan Wu:
On Designing a Two-stage Auction for Online Advertising. CoRR abs/2111.05555 (2021)
2020
[j6]
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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): 769-787 (2020)
[c21]
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Hongtao Lv, Chaoli Zhang, Zhenzhe Zheng, Tie Luo, Fan Wu, Guihai Chen:
Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. AAAI 2020: 2144-2151
[c20]
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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: 2501-2508
[c19]
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Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen:
Online Pricing with Reserve Price Constraint for Personal Data Markets. ICDE 2020: 1978-1981
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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: 4060-4070
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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: 3437-3443
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Qinya Li, Zhenzhe Zheng, Fan Wu, Guihai Chen:
Generative Adversarial Networks-based Privacy-Preserving 3D Reconstruction. IWQoS 2020: 1-10
[i11]
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  - journals/corr/abs-2002-07399
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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 abs/2002.07399 (2020)
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Yucheng Ding, Chaoyue Niu, Yikai Yan, Zhenzhe Zheng, Fan Wu, Guihai Chen, Shaojie Tang, Rongfei Jia:
Distributed Optimization over Block-Cyclic Data. CoRR abs/2002.07454 (2020)
[i9]
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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 abs/2005.04355 (2020)
[i8]
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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 abs/2006.16312 (2020)
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  - journals/corr/abs-2008-08931
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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 abs/2008.08931 (2020)
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  - journals/corr/abs-2012-02930
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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 abs/2012.02930 (2020)
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  - journals/corr/abs-2012-10936
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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 abs/2012.10936 (2020)

2010 – 2019

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2019
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Zhenzhe Zheng, Weichao Mao, Fan Wu, Guihai Chen:
Challenges and Opportunities in IoT Data Markets. SocialSens@CPSIoTWeek 2019: 1-2
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Weichao Mao, Zhenzhe Zheng, Fan Wu:
Pricing for Revenue Maximization in IoT Data Markets: An Information Design Perspective. INFOCOM 2019: 1837-1845
[c13]
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Zhenzhe Zheng, R. Srikant:
Optimal Search Segmentation Mechanisms for Online Platform Markets. WINE 2019: 301-315
[i4]
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  - journals/corr/abs-1908-07489
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Zhenzhe Zheng, R. Srikant:
Optimal Search Segmentation Mechanisms for Online Platform Markets. CoRR abs/1908.07489 (2019)
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Hongtao Lv, Chaoli Zhang, Zhenzhe Zheng, Tie Luo, Fan Wu, Guihai Chen:
Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. CoRR abs/1911.07706 (2019)
[i2]
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Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen:
Online Pricing with Reserve Price Constraint for Personal Data Markets. CoRR abs/1911.12598 (2019)
2018
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Weichao Mao, Zhenzhe Zheng, Fan Wu, Guihai Chen:
Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations. IJCAI 2018: 440-446
[c11]
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Zhenzhe Zheng, R. Srikant, Guihai Chen:
Pricing for Revenue Maximization in Inter-DataCenter Networks. INFOCOM 2018: 28-36
[i1]
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  - journals/corr/abs-1804-01735
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Chaoyue Niu, Minping Zhou, Zhenzhe Zheng, Fan Wu, Guihai Chen:
ERA: Towards Privacy Preservation and Verifiability for Online Ad Exchanges. CoRR abs/1804.01735 (2018)
2017
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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: 1-10 (2017)
[j4]
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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): 486-501 (2017)
[c10]
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Xiao Ma, Zhenzhe Zheng, Fan Wu, Guihai Chen:
Trust-based time series data model for mobile crowdsensing. ICC 2017: 1-6
[c9]
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Zhenzhe Zheng, Zhaoxiong Yang, Fan Wu, Guihai Chen:
Mechanism Design for Mobile Crowdsensing with Execution Uncertainty. ICDCS 2017: 955-965
[c8]
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Shengzhong Liu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen:
Context-aware data quality estimation in mobile crowdsensing. INFOCOM 2017: 1-9
[c7]
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Zhenzhe Zheng, Yanqing Peng, Fan Wu, Shaojie Tang, Guihai Chen:
An Online Pricing Mechanism for Mobile Crowdsensing Data Markets. MobiHoc 2017: 26:1-26:10
2016
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Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen:
AEGIS: An Unknown Combinatorial Auction Mechanism Framework for Heterogeneous Spectrum Redistribution in Noncooperative Wireless Networks. IEEE/ACM Trans. Netw. 24(3): 1919-1932 (2016)
[c6]
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Xiang Wang, Zhenzhe Zheng, Fan Wu, Xiaoju Dong, Shaojie Tang, Guihai Chen:
Strategy-Proof Data Auctions with Negative Externalities: (Extended Abstract). AAMAS 2016: 1269-1270
2015
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Zhenzhe Zheng, Yang Gui, Fan Wu, Guihai Chen:
STAR: Strategy-Proof Double Auctions for Multi-Cloud, Multi-Tenant Bandwidth Reservation. IEEE Trans. Computers 64(7): 2071-2083 (2015)
[j1]
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Zhenzhe Zheng, Fan Wu, Guihai Chen:
A Strategy-Proof Combinatorial Heterogeneous Channel Auction Framework in Noncooperative Wireless Networks. IEEE Trans. Mob. Comput. 14(6): 1123-1137 (2015)
[c5]
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Minping Zhou, Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Guihai Chen:
An Efficient, Privacy-Preserving, and Verifiable Online Auction Mechanism for Ad Exchanges. GLOBECOM 2015: 1-6
2014
[c4]
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  - conf/aaai/WuLZC14
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Fan Wu, Junming Liu, Zhenzhe Zheng, Guihai Chen:
A Strategy-Proof Online Auction with Time Discounting Values. AAAI 2014: 812-818
[c3]
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Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen:
Unknown combinatorial auction mechanisms for heterogeneous spectrum redistribution. MobiHoc 2014: 3-12
2013
[c2]
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  - conf/icpads/ZhengWWC13
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Zhenzhe Zheng, Juntao Wang, Fan Wu, Guihai Chen:
SAIL: A Strategy-Proof Auction Mechanism for Cooperative Communication. ICPADS 2013: 380-387
[c1]
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Zhenzhe Zheng, Fan Wu, Guihai Chen:
SMASHER: a strategy-proof combinatorial auction mechanism for heterogeneous channel redistribution. MobiHoc 2013: 305-308

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