SAIL: A Strategy-Proof Auction Mechanism for Cooperative Communication. - Zhenzhe Zheng 001; Juntao Wang 004; Fan Wu 006; Guihai Chen (ICPADS, 2013)

SMASHER: a strategy-proof combinatorial auction mechanism for heterogeneous channel redistribution. - Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (MobiHoc, 2013)

A Strategy-Proof Online Auction with Time Discounting Values. - Fan Wu 006; Junming Liu; Zhenzhe Zheng 001; Guihai Chen (AAAI, 2014)

SOAR: Strategy-proof auction mechanisms for distributed cloud bandwidth reservation. - Yang Gui; Zhenzhe Zheng 001; Fan Wu 006; Xiaofeng Gao 001; Guihai Chen (ICCS, 2014)

Unknown combinatorial auction mechanisms for heterogeneous spectrum redistribution. - Zhenzhe Zheng 001; Fan Wu 006; Shaojie Tang 001; Guihai Chen (MobiHoc, 2014)

An Efficient, Privacy-Preserving, and Verifiable Online Auction Mechanism for Ad Exchanges. - Minping Zhou; Chaoyue Niu; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (GLOBECOM, 2015)

STAR: Strategy-Proof Double Auctions for Multi-Cloud, Multi-Tenant Bandwidth Reservation. - Zhenzhe Zheng 001; Yang Gui; Fan Wu 006; Guihai Chen (IEEE Trans. Computers, 2015)

A Strategy-Proof Combinatorial Heterogeneous Channel Auction Framework in Noncooperative Wireless Networks. - Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (IEEE Trans. Mob. Comput., 2015)

Strategy-Proof Data Auctions with Negative Externalities: (Extended Abstract). - Xiang Wang 011; Zhenzhe Zheng 001; Fan Wu 006; Xiaoju Dong; Shaojie Tang 001; Guihai Chen (AAMAS, 2016)

MAPM: Movement-Based Adaptive Prediction Mechanism for Energy Conservation in Body Sensor Networks. - Yuanyuan Li; Linghe Kong; Fan Wu 006; Zhenzhe Zheng 001; Guihai Chen (GLOBECOM, 2016)

AEGIS: An Unknown Combinatorial Auction Mechanism Framework for Heterogeneous Spectrum Redistribution in Noncooperative Wireless Networks. - Zhenzhe Zheng 001; Fan Wu 006; Shaojie Tang 001; Guihai Chen (IEEE/ACM Trans. Netw., 2016)

Trust-based time series data model for mobile crowdsensing. - Xiao Ma 006; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (ICC, 2017)

Mechanism Design for Mobile Crowdsensing with Execution Uncertainty. - Zhenzhe Zheng 001; Zhaoxiong Yang; Fan Wu 006; Guihai Chen (ICDCS, 2017)

Trading Data in Good Faith: Integrating Truthfulness and Privacy Preservation in Data Markets. - Chaoyue Niu; Zhenzhe Zheng 001; Fan Wu 006; Xiaofeng Gao 001; Guihai Chen (ICDE, 2017)

Context-aware data quality estimation in mobile crowdsensing. - Shengzhong Liu; Zhenzhe Zheng 001; Fan Wu 006; Shaojie Tang 001; Guihai Chen (INFOCOM, 2017)

Fault tolerant mechanism design for time coverage in crowdsensing system. - Yangsu Liu; Zhenzhe Zheng 001; Fan Wu 006; Xiaofeng Gao 001; Guihai Chen (IPCCC, 2017)

An Online Pricing Mechanism for Mobile Crowdsensing Data Markets. - Zhenzhe Zheng 001; Yanqing Peng; Fan Wu 006; Shaojie Tang 001; Guihai Chen (MobiHoc, 2017)

ERA: Towards privacy preservation and verifiability for online ad exchanges. - Chaoyue Niu; Minping Zhou; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (J. Netw. Comput. Appl., 2017)

Trading Data in the Crowd: Profit-Driven Data Acquisition for Mobile Crowdsensing. - Zhenzhe Zheng 001; Yanqing Peng; Fan Wu 006; Shaojie Tang 001; Guihai Chen (IEEE J. Sel. Areas Commun., 2017)

A Budget Feasible Incentive Mechanism for Weighted Coverage Maximization in Mobile Crowdsensing. - Zhenzhe Zheng 001; Fan Wu 006; Xiaofeng Gao 001; Hongzi Zhu; Shaojie Tang 001; Guihai Chen (IEEE Trans. Mob. Comput., 2017)

On Designing Optimal Data Purchasing Strategies for Online Ad Auctions. - Zun Li 002; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (AAMAS, 2018)

Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations. - Weichao Mao; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (IJCAI, 2018)

Towards Personalized Task Matching in Mobile Crowdsensing via Fine-Grained User Profiling. - Shuo Yang 001; Kunyan Han; Zhenzhe Zheng 001; Shaojie Tang 001; Fan Wu 006 (INFOCOM, 2018)

Pricing for Revenue Maximization in Inter-DataCenter Networks. - Zhenzhe Zheng 001; R. Srikant 001; Guihai Chen (INFOCOM, 2018)

Unlocking the Value of Privacy: Trading Aggregate Statistics over Private Correlated Data. - Chaoyue Niu; Zhenzhe Zheng 001; Fan Wu 006; Shaojie Tang 001; Xiaofeng Gao 001; Guihai Chen (KDD, 2018)

Challenges and Opportunities in IoT Data Markets. - Zhenzhe Zheng 001; Weichao Mao; Fan Wu 006; Guihai Chen (SocialSens@CPSIoTWeek, 2019)

Pricing for Revenue Maximization in IoT Data Markets: An Information Design Perspective. - Weichao Mao; Zhenzhe Zheng 001; Fan Wu 006 (INFOCOM, 2019)

Making Big Money from Small Sensors: Trading Time-Series Data under Pufferfish Privacy. - Chaoyue Niu; Zhenzhe Zheng 001; Shaojie Tang 001; Xiaofeng Gao 001; Fan Wu 006 (INFOCOM, 2019)

Optimal Search Segmentation Mechanisms for Online Platform Markets. - Zhenzhe Zheng 001; R. Srikant 001 (WINE, 2019)

Achieving Data Truthfulness and Privacy Preservation in Data Markets. - Chaoyue Niu; Zhenzhe Zheng 001; Fan Wu 006; Xiaofeng Gao 001; Guihai Chen (IEEE Trans. Knowl. Data Eng., 2019)

Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. - Hongtao Lv; Chaoli Zhang 003; Zhenzhe Zheng 001; Tie Luo 001; Fan Wu 006; Guihai Chen (AAAI, 2020)

A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction. - Liyi Guo; Rui Lu 003; Haoqi Zhang; Junqi Jin; Zhenzhe Zheng 001; Fan Wu 006; Jin Li 014; Haiyang Xu; Han Li 005; Wenkai Lu; Jian Xu 015; Kun Gai (CIKM, 2020)

Towards Fine-Grained Indoor White Space Sensing. - Fan Wu 006; Yunlong Xiang; Zhenzhe Zheng 001; Yuben Qu; Xiaofeng Gao 001; Linghe Kong; Guihai Chen; Biao Liu (GPC, 2020)

Online Pricing with Reserve Price Constraint for Personal Data Markets. - Chaoyue Niu; Zhenzhe Zheng 001; Fan Wu 006; Shaojie Tang 001; Guihai Chen (ICDE, 2020)

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. - Xiaotian Hao; Zhaoqing Peng; Yi Ma 005; Guan Wang; Junqi Jin; Jianye Hao; Shan Chen; Rongquan Bai; Mingzhou Xie; Miao Xu; Zhenzhe Zheng 001; Chuan Yu 002; et al. (ICML, 2020)

Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. - Xiaotian Hao; Junqi Jin; Jianye Hao; Jin Li 014; Weixun Wang; Yi Ma 005; Zhenzhe Zheng 001; Han Li 005; Jian Xu 015; Kun Gai (IJCAI, 2020)

Generative Adversarial Networks-based Privacy-Preserving 3D Reconstruction. - Qinya Li; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (IWQoS, 2020)

Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability. - Yikai Yan; Chaoyue Niu; Yucheng Ding; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen; Shaojie Tang 001; Zhihua Wu (CoRR, 2020)

Toward Understanding the Influence of Individual Clients in Federated Learning. - Yihao Xue; Chaoyue Niu; Zhenzhe Zheng 001; Shaojie Tang 001; Chengfei Lv; Fan Wu 006; Guihai Chen (CoRR, 2020)

ARETE: On Designing Joint Online Pricing and Reward Sharing Mechanisms for Mobile Data Markets. - Zhenzhe Zheng 001; Yanqing Peng; Fan Wu 006; Shaojie Tang 001; Guihai Chen (IEEE Trans. Mob. Comput., 2020)

Toward Understanding the Influence of Individual Clients in Federated Learning. - Yihao Xue; Chaoyue Niu; Zhenzhe Zheng 001; Shaojie Tang 001; Chengfei Lyu; Fan Wu 006; Guihai Chen (AAAI, 2021)

Multi-objective Dynamic Auction Mechanism for Online Advertising. - Yiqing Wang; Junqi Jin; Zhenzhe Zheng 001; Haiyang Xu; Fan Wu 006; Yuning Jiang 001; Guihai Chen (IPCCC, 2021)

A Lightweight, Privacy-Preserving Tensor Completion Framework for Internet of Things. - Shuyu Wu; Linghe Kong; Qiao Xiang; Zhenzhe Zheng 001; Luoyi Fu; Guihai Chen (ISPA/BDCloud/SocialCom/SustainCom, 2021)

We Know What You Want: An Advertising Strategy Recommender System for Online Advertising. - Liyi Guo; Junqi Jin; Haoqi Zhang; Zhenzhe Zheng 001; Zhiye Yang; Zhizhuang Xing; Fei Pan; Lvyin Niu; Fan Wu 006; Haiyang Xu; Chuan Yu 002; Yuning Jiang 001; et al. (KDD, 2021)

Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising. - Xiangyu Liu; Chuan Yu 002; Zhilin Zhang 003; Zhenzhe Zheng 001; Yu Rong; Hongtao Lv; Da Huo 002; Yiqing Wang; Dagui Chen; Jian Xu 015; Fan Wu 006; Guihai Chen; et al. (KDD, 2021)

Cost-Sharing Mechanism Design for Social Cost Minimization in Ridesharing Systems. - Yangsu Liu; Chaoli Zhang 003; Zhenzhe Zheng 001; Guihai Chen (WASA (2), 2021)

Scaling DCN Models for Indoor White Space Exploration. - Yunlong Xiang; Zhenzhe Zheng 001; Yuben Qu; Guihai Chen (WASA (2), 2021)

Data-Free Evaluation of User Contributions in Federated Learning. - Hongtao Lv; Zhenzhe Zheng 001; Tie Luo 001; Fan Wu 006; Shaojie Tang 001; Lifeng Hua; Rongfei Jia; Chengfei Lv (WiOpt, 2021)

Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. - Zhilin Zhang 003; Xiangyu Liu; Zhenzhe Zheng 001; Chenrui Zhang; Miao Xu; Junwei Pan; Chuan Yu 002; Fan Wu 006; Jian Xu 015; Kun Gai (WSDM, 2021)

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. - Chao Wen; Miao Xu; Zhilin Zhang 003; Zhenzhe Zheng 001; Yuhui Wang 004; Xiangyu Liu; Yu Rong; Dong Xie; Xiaoyang Tan; Chuan Yu 002; Jian Xu 015; Fan Wu 006; et al. (CoRR, 2021)

Strategy-Proof Online Mechanisms for Weighted AoI Minimization in Edge Computing. - Hongtao Lv; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (IEEE J. Sel. Areas Commun., 2021)

ERATO: Trading Noisy Aggregate Statistics over Private Correlated Data. - Chaoyue Niu; Zhenzhe Zheng 001; Fan Wu 006; Shaojie Tang 001; Xiaofeng Gao 001; Guihai Chen (IEEE Trans. Knowl. Data Eng., 2021)

Fine-Grained User Profiling for Personalized Task Matching in Mobile Crowdsensing. - Fan Wu 006; Shuo Yang 001; Zhenzhe Zheng 001; Shaojie Tang 001; Guihai Chen (IEEE Trans. Mob. Comput., 2021)

Hierarchically Constrained Adaptive Ad Exposure in Feeds. - Dagui Chen; Qi Yan; Chunjie Chen 004; Zhenzhe Zheng 001; Yangsu Liu; Zhenjia Ma; Chuan Yu 002; Jian Xu 015; Bo Zheng 007 (CIKM, 2022)

Control-based Bidding for Mobile Livestreaming Ads with Exposure Guarantee. - Haoqi Zhang; Junqi Jin; Zhenzhe Zheng 001; Fan Wu 006; Haiyang Xu; Jian Xu 015 (CIKM, 2022)

Online Data Valuation and Pricing for Machine Learning Tasks in Mobile Health. - Anran Xu 003; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (INFOCOM, 2022)

A Comprehensive Study on Personalized Federated Learning with Non-IID Data. - Menghang Yu; Zhenzhe Zheng 001; Qinya Li; Fan Wu 006; Jiaqi Zheng 001 (ISPA/BDCloud/SocialCom/SustainCom, 2022)

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. - Chao Wen; Miao Xu; Zhilin Zhang 003; Zhenzhe Zheng 001; Yuhui Wang 004; Xiangyu Liu; Yu Rong; Dong Xie; Xiaoyang Tan; Chuan Yu 002; Jian Xu 015; Fan Wu 006; et al. (WSDM, 2022)

On Designing a Two-stage Auction for Online Advertising. - Yiqing Wang; Xiangyu Liu; Zhenzhe Zheng 001; Zhilin Zhang 003; Miao Xu; Chuan Yu 002; Fan Wu 006 (WWW, 2022)

ODE: A Data Sampling Method for Practical Federated Learning with Streaming Data and Limited Buffer. - Chen Gong 006; Zhenzhe Zheng 001; Fan Wu 006; Bingshuai Li; Yunfeng Shao 001; Guihai Chen (CoRR, 2022)

On Designing Strategy-Proof Budget Feasible Online Mechanisms for Mobile Crowdsensing With Time-Discounting Values. - Zhenzhe Zheng 001; Shuo Yang 001; Jiapeng Xie; Fan Wu 006; Xiaofeng Gao 001; Guihai Chen (IEEE Trans. Mob. Comput., 2022)

Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising. - Hongtao Lv; Zhilin Zhang 003; Zhenzhe Zheng 001; Jinghan Liu; Chuan Yu; Lei Liu 003; Lizhen Cui; Fan Wu 006 (AAAI, 2023)

MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising. - Zhen Gong; Lvyin Niu; Yang Zhao 039; Miao Xu; Haoqi Zhang; Zhenzhe Zheng 001; Zhilin Zhang 003; Rongquan Bai; Chuan Yu 002; Jian Xu 015; Bo Zheng 007; Fan Wu 006 (CIKM, 2023)

Enhancing Repeat-Aware Recommendation from a Temporal-Sequential Perspective. - Shigang Quan; Shui Liu; Zhenzhe Zheng 001; Fan Wu 006 (CIKM, 2023)

MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking. - Shigang Quan; Hailong Tan; Shui Liu; Zhenzhe Zheng 001; Ruihao Zhu; Liangyue Li; Quan Lu; Fan Wu 006 (CIKM, 2023)

PSLF: Defending Against Label Leakage in Split Learning. - Xinwei Wan; Jiankai Sun; Shengjie Wang 001; Lei Chen 096; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (CIKM, 2023)

CANDY: A Causality-Driven Model for Hotel Dynamic Pricing. - Ruitao Zhu; Wendong Xiao; Yao Yu; Yizhi Yu; Zhenzhe Zheng 001; Ke Bu; Dong Li 037; Fan Wu 006 (CIKM, 2023)

HIT: Learning a Hierarchical Tree-Based Model with Variable-Length Layers for Recommendation Systems. - Anran Xu 003; Shuo Yang 001; Shuai Li; Zhenzhe Zheng 001; LingLing Yao; Fan Wu 006; Guihai Chen; Jie Jiang 015 (DASFAA (2), 2023)

Neural Contextual Combinatorial Bandit under Non-stationary Environment. - Jiaqi Zheng 001; Hedi Gao; Haipeng Dai 001; Zhenzhe Zheng 001; Fan Wu 006 (ICDM, 2023)

Learning From Your Neighbours: Mobility-Driven Device-Edge-Cloud Federated Learning. - Songli Zhang; Zhenzhe Zheng 001; Fan Wu 006; Bingshuai Li; Yunfeng Shao 001; Guihai Chen (ICPP, 2023)

Truthful Auctions for Automated Bidding in Online Advertising. - Yidan Xing 001; Zhilin Zhang 003; Zhenzhe Zheng 001; Chuan Yu 002; Jian Xu 015; Fan Wu 006; Guihai Chen (IJCAI, 2023)

Distributed Model Interpretation for Vertical Federated Learning with Feature Discrepancy. - Rui Xing 005; Zhenzhe Zheng 001; Qinya Li; Fan Wu 006; Guihai Chen (IWQoS, 2023)

A Personalized Automated Bidding Framework for Fairness-aware Online Advertising. - Haoqi Zhang; Lvyin Niu; Zhenzhe Zheng 001; Zhilin Zhang 003; Shan Gu; Fan Wu 006; Chuan Yu 002; Jian Xu 015; Guihai Chen; Bo Zheng 007 (KDD, 2023)

Full Index Deep Retrieval: End-to-End User and Item Structures for Cold-start and Long-tail Item Recommendation. - Zhen Gong; Xin Wu; Lei Chen 096; Zhenzhe Zheng 001; Shengjie Wang 001; Anran Xu 003; Chong Wang; Fan Wu 006 (RecSys, 2023)

Auction Design for Bidders with Ex Post ROI Constraints. - Hongtao Lv; Xiaohui Bei; Zhenzhe Zheng 001; Fan Wu 006 (WINE, 2023)

Boosting Advertising Space: Designing Ad Auctions for Augment Advertising. - Yangsu Liu; Dagui Chen; Zhenzhe Zheng 001; Zhilin Zhang 003; Chuan Yu 002; Fan Wu 006; Guihai Chen (WSDM, 2023)

To Store or Not? Online Data Selection for Federated Learning with Limited Storage. - Chen Gong 006; Zhenzhe Zheng 001; Fan Wu 006; Yunfeng Shao 001; Bingshuai Li; Guihai Chen (WWW, 2023)

LINet: A Location and Intention-Aware Neural Network for Hotel Group Recommendation. - Ruitao Zhu; Detao Lv; Yao Yu; Ruihao Zhu; Zhenzhe Zheng 001; Ke Bu; Quan Lu; Fan Wu 006 (WWW, 2023)

Designing Ad Auctions with Private Constraints for Automated Bidding. - Yidan Xing 001; Zhilin Zhang 003; Zhenzhe Zheng 001; Chuan Yu 002; Jian Xu 015; Fan Wu 006; Guihai Chen (CoRR, 2023)

ECLM: Efficient Edge-Cloud Collaborative Learning with Continuous Environment Adaptation. - Yan Zhuang 004; Zhenzhe Zheng 001; Yunfeng Shao 001; Bingshuai Li; Fan Wu 006; Guihai Chen (CoRR, 2023)

Capitalize Your Data: Optimal Selling Mechanisms for IoT Data Exchange. - Qinya Li; Zun Li 002; Zhenzhe Zheng 001; Fan Wu 006; Shaojie Tang 001; Zhao Zhang 002; Guihai Chen (IEEE Trans. Mob. Comput., 2023)

Mobility-Aware Device Sampling for Statistical Heterogeneity in Hierarchical Federated Learning. - Songli Zhang; Zhenzhe Zheng 001; Qinya Li; Fan Wu 006; Guihai Chen (ICDCS, 2024)

Nebula: An Edge-Cloud Collaborative Learning Framework for Dynamic Edge Environments. - Yan Zhuang 004; Zhenzhe Zheng 001; Yunfeng Shao 001; Bingshuai Li; Fan Wu 006; Guihai Chen (ICPP, 2024)

CAUDA: Cloud-assisted Active Unsupervised Domain Adaptation for On-device Learning. - Zefu Wang; Zhenzhe Zheng 001; Fan Wu 006 (IPCCC, 2024)

Truthful Bandit Mechanisms for Repeated Two-stage Ad Auctions. - Haoming Li 017; Yumou Liu; Zhenzhe Zheng 001; Zhilin Zhang 003; Jian Xu 015; Fan Wu 006 (KDD, 2024)

Robust Auto-Bidding Strategies for Online Advertising. - Qilong Lin; Zhenzhe Zheng 001; Fan Wu 006 (KDD, 2024)

Preventing Strategic Behaviors in Collaborative Inference for Vertical Federated Learning. - Yidan Xing 001; Zhenzhe Zheng 001; Fan Wu 006 (KDD, 2024)

Distributed Optimization over Block-Cyclic Data. - Yucheng Ding; Chaoyue Niu; Yikai Yan; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen; Shaojie Tang 001; Rongfei Jia (MMAsia Workshops, 2024)

Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning. - Chen Gong 006; Zhenzhe Zheng 001; Fan Wu 006; Xiaofeng Jia; Guihai Chen (MobiCom, 2024)

On the Analysis of Two-Stage Stochastic Bandit. - Yumou Liu; Haoming Li 017; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (MobiHoc, 2024)

LiteMoE: Customizing On-device LLM Serving via Proxy Submodel Tuning. - Yan Zhuang 004; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (SenSys, 2024)

From Second to First: Mixed Censored Multi-Task Learning for Winning Price Prediction. - Jiani Huang; Zhenzhe Zheng 001; Yanrong Kang; Zixiao Wang 007 (WSDM, 2024)

Cost-Effective Active Learning for Bid Exploration in Online Advertising. - Zixiao Wang 007; Zhenzhe Zheng 001; Yanrong Kang; Jiani Huang (WSDM, 2024)

Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding. - Haoming Li 017; Yusen Huo; Shuai Dou; Zhenzhe Zheng 001; Zhilin Zhang 003; Chuan Yu 002; Jian Xu 015; Fan Wu 006 (WWW, 2024)

Federated Optimization Under Intermittent Client Availability. - Yikai Yan; Chaoyue Niu; Yucheng Ding; Zhenzhe Zheng 001; Shaojie Tang 001; Qinya Li; Fan Wu 006; Chengfei Lyu; Yanghe Feng; Guihai Chen (INFORMS J. Comput., 2024)

When Crowdsourcing Meets Data Markets: A Fair Data Value Metric for Data Trading. - Yangsu Liu; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (J. Comput. Sci. Technol., 2024)

VAP: Online Data Valuation and Pricing for Machine Learning Models in Mobile Health. - Anran Xu 003; Zhenzhe Zheng 001; Qinya Li; Fan Wu 006; Guihai Chen (IEEE Trans. Mob. Comput., 2024)

ODE: An Online Data Selection Framework for Federated Learning With Limited Storage. - Chen Gong 006; Zhenzhe Zheng 001; Yunfeng Shao 001; Bingshuai Li; Fan Wu 006; Guihai Chen (IEEE/ACM Trans. Netw., 2024)

On Designing Market Model and Pricing Mechanisms for IoT Data Exchange. - Zhenzhe Zheng 001; Weichao Mao; Yidan Xing 001; Fan Wu 006 (IEEE Trans. Mob. Comput., 2024)

LVAR-CZSL: Learning Visual Attributes Representation for Compositional Zero-Shot Learning. - Xingjiang Ma; Jing Yang 017; Jiacheng Lin; Zhenzhe Zheng 001; Shaobo Li 001; Bingqi Hu; Xianghong Tang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Learning Optimal Auctions with Correlated Value Distributions. - Da Huo 002; Zhenzhe Zheng 001; Fan Wu 006 (AAAI, 2025)

AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference. - Zhuomin He; Yizhen Yao; Pengfei Zuo; Bin Gao; Qinya Li; Zhenzhe Zheng 001; Fan Wu 006 (AAAI, 2025)

Joint Prediction and Matching for Computing Resource Exchange Platforms. - Da Huo 002; Zhenzhe Zheng 001; Xiaoyao Huang; Hao Chen 181; Jianfeng Hu 003; Zhiyong Yan; Fan Wu 006; Jie Wu 001 (ICPP, 2025)

Optimizing the Battery-Swapping Problem in Urban E-Bike Systems with Reinforcement Learning. - Wenjing Li; Zhao Li 007; Xuanwu Liu; Ruihao Zhu; Zhenzhe Zheng 001; Fan Wu 006 (IJCAI, 2025)

Latency-Aware Online Continual Learning for Non-Stationary Data Streams. - Haibo Liu; Da Huo 002; Zhenzhe Zheng 001; Fan Wu 006 (INFOCOM, 2025)

An Auto-Coupon Framework for Advertiser Retention in Online Advertising. - Yidan Xing 001; Haoqi Zhang; Yangsu Liu; Dagui Chen; Zhenzhe Zheng 001; Fan Wu 006 (KDD (2), 2025)

A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices. - Chen Gong 006; Rui Xing 005; Zhenzhe Zheng 001; Fan Wu 006 (KDD (2), 2025)

Robust Data-Driven Auction Design. - Qilong Lin; Yangsu Liu; Dagui Chen; Zhenzhe Zheng 001; Jian Xu 015; Bo Zheng 007; Fan Wu 006; Guihai Chen (KDD (2), 2025)

ComRecycle: An Intelligent Computation Recycling Framework for Online Advertising. - Chufeng Shi; Yangsu Liu; Rui Qiu; Zhenzhe Zheng 001; Dagui Chen; Ruitao Zhu; Fan Wu 006 (KDD (2), 2025)

HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark. - Jianqing Zhang; Xinghao Wu; Yanbing Zhou; Xiaoting Sun; Qiqi Cai; Yang Liu 165; Yang Hua 001; Zhenzhe Zheng 001; Jian Cao 001; Qiang Yang 001 (KDD (2), 2025)

Contextual Generative Auction with Permutation-level Externalities for Online Advertising. - Ruitao Zhu; Yangsu Liu; Dagui Chen; Zhenjia Ma; Chufeng Shi; Zhenzhe Zheng 001; Jie Zhang 135; Jian Xu 015; Bo Zheng 007; Fan Wu 006 (KDD (1), 2025)

Prices Do Matter: Modeling Price Competitiveness for Online Hotel Industry. - Ruitao Zhu; Wendong Xiao; Yao Yu; Yangsu Liu; Zhenzhe Zheng 001; Shuqi Zhang; Dong Li 037; Fan Wu 006 (KDD (1), 2025)

Online Contract Design for Creator Economy in the Era of GenAI. - Yumou Liu; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (MobiHoc, 2025)

DRAGON: Enhancing On-Device Model Performance with Distributed Retrieval-Augmented Generation. - Shangyu Liu; Zhenzhe Zheng 001; Xiaoyao Huang; Fan Wu 006; Guihai Chen; Jie Wu 001 (MobiHoc, 2025)

Enabling Real-Time Inference in Online Continual Learning via Device-Cloud Collaboration. - Haibo Liu; Chen Gong 006; Zhenzhe Zheng 001; Shengzhong Liu; Fan Wu 006 (WWW, 2025)

MI-VFL: Feature discrepancy-aware distributed model interpretation for vertical federated learning. - Rui Xing 005; Zhenzhe Zheng 001; Qinya Li; Fan Wu 006; Guihai Chen (Comput. Networks, 2025)

Prototype-Based Collaborative Learning in UAV-Assisted Edge Computing Networks. - Enze Yu; Haipeng Dai 001; Haihan Zhang; Zhenzhe Zheng 001; Jun Zhao 007; Guihai Chen (Softw. Pract. Exp., 2025)

Efficient Distributed Retrieval-Augmented Generation for Enhancing Language Model Performance. - Shangyu Liu; Zhenzhe Zheng 001; Xiaoyao Huang; Fan Wu 006; Guihai Chen; Jie Wu 001 (CoRR, 2025)

TSRec: Enhancing Repeat-Aware Recommendation from a Temporal-Sequential Perspective. - Shigang Quan; Shui Liu; Zhenzhe Zheng 001; Fan Wu 006 (CoRR, 2025)

MIDDLE: A Mobility-Driven Device-Edge-Cloud Federated Learning Framework. - Songli Zhang; Zhenzhe Zheng 001; Fan Wu 006; Bingshuai Li; Yunfeng Shao 001; Guihai Chen (IEEE Trans. Mob. Comput., 2025)

Ten Challenging Problems in Federated Foundation Models. - Tao Fan 002; Hanlin Gu; Xuemei Cao 001; Chee Seng Chan; Qian Chen 023; Yiqiang Chen 001; Yihui Feng; Yang Gu 001; Jiaxiang Geng; Bing Luo 002; Shuoling Liu; WinKent Ong; et al. (IEEE Trans. Knowl. Data Eng., 2025)

ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive. - Xinhao Luo; Zihan Liu 002; Yangjie Zhou 001; Shihan Fang; Ziyu Huang; Yu Feng 007; Chen Zhang 001; Shixuan Sun; Zhenzhe Zheng 001; Jingwen Leng; Minyi Guo (CoRR, 2025)

From Non-IID to IID: Mobility-Aware Hierarchical Federated Learning With Client-Edge Association Control. - Haibo Liu; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (IEEE Trans. Mob. Comput., 2025)

User Context Generation for Large Language Models From Mobile Sensing Data. - Rui Xing 005; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (IEEE Trans. Mob. Comput., 2025)

EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation. - Yonghao Dong; Qiang He 001; Penghong Rui; Zhenzhe Zheng 001; Zhao Li 007; Feifei Chen 001; Hai Jin 001; Yun Yang 001 (AAAI, 2026)

TTF: A Trapezoidal Temporal Fusion Framework for LTV Forecasting in Douyin. - Yibing Wan; Zhengxiong Guan; Chaoli Zhang 003; Xiaoyang Li; Lai Xu; Beibei Jia; Zhenzhe Zheng 001; Fan Wu 006 (AAAI, 2026)

Optimizing Feature Extraction for On-device Model Inference with User Behavior Sequences. - Chen Gong 006; Zhenzhe Zheng 001; Yiliu Chen; Sheng Wang 011; Fan Wu 006; Guihai Chen (SenSys, 2026)

Optimizing Storage Overhead of User Behavior Log for ML-embedded Mobile Apps. - Chen Gong 006; Yan Zhuang 004; Zhenzhe Zheng 001; Yiliu Chen; Sheng Wang 011; Fan Wu 006; Guihai Chen (SIGMETRICS (Abstracts), 2026)

Guiding the Recommender: Information-Aware Auto-Bidding for Content Promotion. - Yumou Liu; Zhenzhe Zheng 001; Jiang Rong; Yao Hu 002; Fan Wu 006; Guihai Chen (SIGMETRICS (Abstracts), 2026)

A Creator-Aware Recommendation System for Content Platforms. - Wenjing Li; Jiang Rong; Yao Hu 002; Zhenzhe Zheng 001; Fan Wu 006 (WWW, 2026)

Smaller but Better: Plasticity-Preserving Continual Learning for Embedded AI. - Chenxin Mao; Haibo Liu; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (WWW, 2026)

Prototype Augmentation-based Edge-end Heterogeneous Collaborative Learning. - Enze Yu; Penghuan Cheng; Haipeng Dai 001; Haihan Zhang; Sujin Hou; Meng Li 010; Zhenzhe Zheng 001; Qiang He 001; Guihai Chen (WWW, 2026)

Auction design with ex post ROI constraints. - Hongtao Lv; Xiaohui Bei; Zhenzhe Zheng 001; Fan Wu 006 (Artif. Intell., 2026)

A Device-Cloud Collaborative Data Enrichment Framework for Continual Learning on Devices. - Chen Gong 006; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (IEEE Trans. Netw., 2026)

Resource-Efficient LLM Customization on Mobile Devices Through Proxy Submodel Tuning. - Yan Zhuang 004; Chen Gong 006; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (IEEE Trans. Netw., 2026)

Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs. - Wei Zhou 053; Jun Zhou; Haoyu Wang; Zhenghao Li; Qikang He; Shaokun Han; Guoliang Li 001; Xuanhe Zhou; Yeye He; Chunwei Liu; Zirui Tang; Bin Wang 065; et al. (CoRR, 2026)

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG. - Chenxin Mao; Shangyu Liu; Zhenzhe Zheng 001; Fan Wu 006; Jie Wu 001; Guihai Chen (CoRR, 2026)

Deploying UAVs and Surveillance Cameras for Continuous Omnidirectional Monitoring. - Haihan Zhang; Haipeng Dai 001; Yuben Qu; Chaocan Xiang; Yongxi Sui; Shiju Zhao; Zhenzhe Zheng 001; Guihai Chen (IEEE Trans. Mob. Comput., 2026)

MACRA: Efficient Knowledge Sharing among Personalized Models against Label Shift in Mobile AI Applications. - Maozhe Zhao; Rui Shen; Bo Gong; Zhihao Xu; Zhenzhe Zheng 001; Shengzhong Liu; Fan Wu; Guihai Chen (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2026)

Edge-End Heterogeneous Collaborative Learning by Prototype Selection and Edge Association. - Enze Yu; Haipeng Dai 001; Haihan Zhang; Yuben Qu; Tao Wu 011; Penghuan Cheng; Sujin Hou; Zhenzhe Zheng 001; Fan Wu 006; Guihai Chen (IEEE Trans. Parallel Distributed Syst., 2026)