| 2026 | AAAI | EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation. | Yonghao Dong, Qiang He, Penghong Rui, Zhenzhe Zheng, Zhao Li, Feifei Chen, Hai Jin, Yun Yang |
| 2026 | AAAI | TTF: A Trapezoidal Temporal Fusion Framework for LTV Forecasting in Douyin. | Yibing Wan, Zhengxiong Guan, Chaoli Zhang, Xiaoyang Li, Lai Xu, Beibei Jia, Zhenzhe Zheng, Fan Wu |
| 2026 | HPDC | FluxZK: Scalable and Efficient Zero-Knowledge Proof Computation via GPU Acceleration. | Xinwei Qiang, Liukun Yu, Xiyu Wang, Zhengyi Li, Shixuan Sun, Jingwen Leng, Chen Chen, Jiaping Gui, Zhenzhe Zheng, Jin Dong, Minyi Guo |
| 2026 | ICDCS | KV Cache Reuse for Elastic LLM Inference on Edge Devices. | Peishuo Wang, Zhenzhe Zheng, Xiaoyao Huang, Jie Wu, Fan Wu, Guihai Chen |
| 2026 | INFOCOM | Budget-Constrained Federated Bandits for Mobile Applications. | Anran Xu, Zhenzhe Zheng, Wenming Zheng, Fan Wu |
| 2026 | IWQoS | Distributed or Centralized: Edge-Cloud Collaborative Active Learning. | Chenxin Mao, Shangyu Liu, Chen Gong, Ting Zhou, Zhenzhe Zheng, Huiyang Xu, Fan Wu, Guihai Chen |
| 2026 | WWW | A Creator-Aware Recommendation System for Content Platforms. | Wenjing Li, Jiang Rong, Yao Hu, Zhenzhe Zheng, Fan Wu |
| 2026 | WWW | Smaller but Better: Plasticity-Preserving Continual Learning for Embedded AI. | Chenxin Mao, Haibo Liu, Zhenzhe Zheng, Fan Wu, Guihai Chen |
| 2026 | WWW | Prototype Augmentation-based Edge-end Heterogeneous Collaborative Learning. | Enze Yu, Penghuan Cheng, Haipeng Dai, Haihan Zhang, Sujin Hou, Meng Li, Zhenzhe Zheng, Qiang He, Guihai Chen |
| 2026 | SENSYS | Optimizing Feature Extraction for On-device Model Inference with User Behavior Sequences. | Chen Gong, Zhenzhe Zheng, Yiliu Chen, Sheng Wang, Fan Wu, Guihai Chen |
| 2026 | SIGMETRICS | Optimizing Storage Overhead of User Behavior Log for ML-embedded Mobile Apps. | Chen Gong, Yan Zhuang, Zhenzhe Zheng, Yiliu Chen, Sheng Wang, Fan Wu, Guihai Chen |
| 2026 | SIGMETRICS | Guiding the Recommender: Information-Aware Auto-Bidding for Content Promotion. | Yumou Liu, Zhenzhe Zheng, Jiang Rong, Yao Hu, Fan Wu, Guihai Chen |
| 2025 | AAAI | Learning Optimal Auctions with Correlated Value Distributions. | Da Huo, Zhenzhe Zheng, Fan Wu |
| 2025 | AAAI | AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference. | Zhuomin He, Yizhen Yao, Pengfei Zuo, Bin Gao, Qinya Li, Zhenzhe Zheng, Fan Wu |
| 2025 | ICPP | Joint Prediction and Matching for Computing Resource Exchange Platforms. | Da Huo, Zhenzhe Zheng, Xiaoyao Huang, Hao Chen, Jianfeng Hu, Zhiyong Yan, Fan Wu, Jie Wu |
| 2025 | IJCAI | Optimizing the Battery-Swapping Problem in Urban E-Bike Systems with Reinforcement Learning. | Wenjing Li, Zhao Li, Xuanwu Liu, Ruihao Zhu, Zhenzhe Zheng, Fan Wu |
| 2025 | INFOCOM | Latency-Aware Online Continual Learning for Non-Stationary Data Streams. | Haibo Liu, Da Huo, Zhenzhe Zheng, Fan Wu |
| 2025 | KDD | An Auto-Coupon Framework for Advertiser Retention in Online Advertising. | Yidan Xing, Haoqi Zhang, Yangsu Liu, Dagui Chen, Zhenzhe Zheng, Fan Wu |
| 2025 | KDD | A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices. | Chen Gong, Rui Xing, Zhenzhe Zheng, Fan Wu |
| 2025 | KDD | Robust Data-Driven Auction Design. | Qilong Lin, Yangsu Liu, Dagui Chen, Zhenzhe Zheng, Jian Xu, Bo Zheng, Fan Wu, Guihai Chen |
| 2025 | KDD | ComRecycle: An Intelligent Computation Recycling Framework for Online Advertising. | Chufeng Shi, Yangsu Liu, Rui Qiu, Zhenzhe Zheng, Dagui Chen, Ruitao Zhu, Fan Wu |
| 2025 | KDD | HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark. | Jianqing Zhang, Xinghao Wu, Yanbing Zhou, Xiaoting Sun, Qiqi Cai, Yang Liu, Yang Hua, Zhenzhe Zheng, Jian Cao, Qiang Yang |
| 2025 | KDD | Contextual Generative Auction with Permutation-level Externalities for Online Advertising. | Ruitao Zhu, Yangsu Liu, Dagui Chen, Zhenjia Ma, Chufeng Shi, Zhenzhe Zheng, Jie Zhang, Jian Xu, Bo Zheng, Fan Wu |
| 2025 | KDD | Prices Do Matter: Modeling Price Competitiveness for Online Hotel Industry. | Ruitao Zhu, Wendong Xiao, Yao Yu, Yangsu Liu, Zhenzhe Zheng, Shuqi Zhang, Dong Li, Fan Wu |
| 2025 | MOBIHOC | Online Contract Design for Creator Economy in the Era of GenAI. | Yumou Liu, Zhenzhe Zheng, Fan Wu, Guihai Chen |
| 2025 | MOBIHOC | DRAGON: Enhancing On-Device Model Performance with Distributed Retrieval-Augmented Generation. | Shangyu Liu, Zhenzhe Zheng, Xiaoyao Huang, Fan Wu, Guihai Chen, Jie Wu |
| 2025 | WWW | Enabling Real-Time Inference in Online Continual Learning via Device-Cloud Collaboration. | Haibo Liu, Chen Gong, Zhenzhe Zheng, Shengzhong Liu, Fan Wu |
| 2024 | ICDCS | Mobility-Aware Device Sampling for Statistical Heterogeneity in Hierarchical Federated Learning. | Songli Zhang, Zhenzhe Zheng, Qinya Li, Fan Wu, Guihai Chen |
| 2024 | ICPP | Nebula: An Edge-Cloud Collaborative Learning Framework for Dynamic Edge Environments. | Yan Zhuang, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen |
| 2024 | IPCCC | CAUDA: Cloud-assisted Active Unsupervised Domain Adaptation for On-device Learning. | Zefu Wang, Zhenzhe Zheng, Fan Wu |
| 2024 | KDD | Truthful Bandit Mechanisms for Repeated Two-stage Ad Auctions. | Haoming Li, Yumou Liu, Zhenzhe Zheng, Zhilin Zhang, Jian Xu, Fan Wu |
| 2024 | KDD | Robust Auto-Bidding Strategies for Online Advertising. | Qilong Lin, Zhenzhe Zheng, Fan Wu |
| 2024 | KDD | Preventing Strategic Behaviors in Collaborative Inference for Vertical Federated Learning. | Yidan Xing, Zhenzhe Zheng, Fan Wu |
| 2024 | MOBICOM | Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning. | Chen Gong, Zhenzhe Zheng, Fan Wu, Xiaofeng Jia, Guihai Chen |
| 2024 | MOBIHOC | On the Analysis of Two-Stage Stochastic Bandit. | Yumou Liu, Haoming Li, Zhenzhe Zheng, Fan Wu, Guihai Chen |
| 2024 | WWW | Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding. | Haoming Li, Yusen Huo, Shuai Dou, Zhenzhe Zheng, Zhilin Zhang, Chuan Yu, Jian Xu, Fan Wu |
| 2024 | SENSYS | LiteMoE: Customizing On-device LLM Serving via Proxy Submodel Tuning. | Yan Zhuang, Zhenzhe Zheng, Fan Wu, Guihai Chen |
| 2024 | WSDM | From Second to First: Mixed Censored Multi-Task Learning for Winning Price Prediction. | Jiani Huang, Zhenzhe Zheng, Yanrong Kang, Zixiao Wang |
| 2024 | WSDM | Cost-Effective Active Learning for Bid Exploration in Online Advertising. | Zixiao Wang, Zhenzhe Zheng, Yanrong Kang, Jiani Huang |
| 2023 | AAAI | Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising. | Hongtao Lv, Zhilin Zhang, Zhenzhe Zheng, Jinghan Liu, Chuan Yu, Lei Liu, Lizhen Cui, Fan Wu |
| 2023 | CIKM | MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising. | Zhen Gong, Lvyin Niu, Yang Zhao, Miao Xu, Haoqi Zhang, Zhenzhe Zheng, Zhilin Zhang, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng, Fan Wu |
| 2023 | CIKM | Enhancing Repeat-Aware Recommendation from a Temporal-Sequential Perspective. | Shigang Quan, Shui Liu, Zhenzhe Zheng, Fan Wu |
| 2023 | CIKM | MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking. | Shigang Quan, Hailong Tan, Shui Liu, Zhenzhe Zheng, Ruihao Zhu, Liangyue Li, Quan Lu, Fan Wu |
| 2023 | CIKM | PSLF: Defending Against Label Leakage in Split Learning. | Xinwei Wan, Jiankai Sun, Shengjie Wang, Lei Chen, Zhenzhe Zheng, Fan Wu, Guihai Chen |
| 2023 | CIKM | CANDY: A Causality-Driven Model for Hotel Dynamic Pricing. | Ruitao Zhu, Wendong Xiao, Yao Yu, Yizhi Yu, Zhenzhe Zheng, Ke Bu, Dong Li, Fan Wu |
| 2023 | DASFAA | HIT: Learning a Hierarchical Tree-Based Model with Variable-Length Layers for Recommendation Systems. | Anran Xu, Shuo Yang, Shuai Li, Zhenzhe Zheng, LingLing Yao, Fan Wu, Guihai Chen, Jie Jiang |
| 2023 | ICDM | Neural Contextual Combinatorial Bandit under Non-stationary Environment. | Jiaqi Zheng, Hedi Gao, Haipeng Dai, Zhenzhe Zheng, Fan Wu |
| 2023 | ICPP | Learning From Your Neighbours: Mobility-Driven Device-Edge-Cloud Federated Learning. | Songli Zhang, Zhenzhe Zheng, Fan Wu, Bingshuai Li, Yunfeng Shao, Guihai Chen |
| 2023 | IJCAI | Truthful Auctions for Automated Bidding in Online Advertising. | Yidan Xing, Zhilin Zhang, Zhenzhe Zheng, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen |
| 2023 | IWQoS | Distributed Model Interpretation for Vertical Federated Learning with Feature Discrepancy. | Rui Xing, Zhenzhe Zheng, Qinya Li, Fan Wu, Guihai Chen |
| 2023 | KDD | A Personalized Automated Bidding Framework for Fairness-aware Online Advertising. | Haoqi Zhang, Lvyin Niu, Zhenzhe Zheng, Zhilin Zhang, Shan Gu, Fan Wu, Chuan Yu, Jian Xu, Guihai Chen, Bo Zheng |
| 2023 | RecSys | 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, Zhenzhe Zheng, Shengjie Wang, Anran Xu, Chong Wang, Fan Wu |
| 2023 | WWW | To Store or Not? Online Data Selection for Federated Learning with Limited Storage. | Chen Gong, Zhenzhe Zheng, Fan Wu, Yunfeng Shao, Bingshuai Li, Guihai Chen |
| 2023 | WWW | LINet: A Location and Intention-Aware Neural Network for Hotel Group Recommendation. | Ruitao Zhu, Detao Lv, Yao Yu, Ruihao Zhu, Zhenzhe Zheng, Ke Bu, Quan Lu, Fan Wu |
| 2023 | WSDM | Boosting Advertising Space: Designing Ad Auctions for Augment Advertising. | Yangsu Liu, Dagui Chen, Zhenzhe Zheng, Zhilin Zhang, Chuan Yu, Fan Wu, Guihai Chen |
| 2022 | CIKM | Hierarchically Constrained Adaptive Ad Exposure in Feeds. | Dagui Chen, Qi Yan, Chunjie Chen, Zhenzhe Zheng, Yangsu Liu, Zhenjia Ma, Chuan Yu, Jian Xu, Bo Zheng |
| 2022 | CIKM | Control-based Bidding for Mobile Livestreaming Ads with Exposure Guarantee. | Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Haiyang Xu, Jian Xu |
| 2022 | INFOCOM | Online Data Valuation and Pricing for Machine Learning Tasks in Mobile Health. | Anran Xu, Zhenzhe Zheng, Fan Wu, Guihai Chen |
| 2022 | ISPA | A Comprehensive Study on Personalized Federated Learning with Non-IID Data. | Menghang Yu, Zhenzhe Zheng, Qinya Li, Fan Wu, Jiaqi Zheng |
| 2022 | WWW | On Designing a Two-stage Auction for Online Advertising. | Yiqing Wang, Xiangyu Liu, Zhenzhe Zheng, Zhilin Zhang, Miao Xu, Chuan Yu, Fan Wu |
| 2022 | WSDM | A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. | 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 |
| 2021 | AAAI | Toward Understanding the Influence of Individual Clients in Federated Learning. | Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lyu, Fan Wu, Guihai Chen |
| 2021 | IPCCC | Multi-objective Dynamic Auction Mechanism for Online Advertising. | Yiqing Wang, Junqi Jin, Zhenzhe Zheng, Haiyang Xu, Fan Wu, Yuning Jiang, Guihai Chen |
| 2021 | ISPA | A Lightweight, Privacy-Preserving Tensor Completion Framework for Internet of Things. | Shuyu Wu, Linghe Kong, Qiao Xiang, Zhenzhe Zheng, Luoyi Fu, Guihai Chen |
| 2021 | KDD | We Know What You Want: An Advertising Strategy Recommender System for Online Advertising. | 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 |
| 2021 | KDD | Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising. | 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 |
| 2021 | WSDM | Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. | Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai |
| 2021 | WiOpt | Data-Free Evaluation of User Contributions in Federated Learning. | Hongtao Lv, Zhenzhe Zheng, Tie Luo, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv |
| 2020 | AAAI | Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. | Hongtao Lv, Chaoli Zhang, Zhenzhe Zheng, Tie Luo, Fan Wu, Guihai Chen |
| 2020 | CIKM | A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction. | Liyi Guo, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu, Kun Gai |
| 2020 | GPC | Towards Fine-Grained Indoor White Space Sensing. | Fan Wu, Yunlong Xiang, Zhenzhe Zheng, Yuben Qu, Xiaofeng Gao, Linghe Kong, Guihai Chen, Biao Liu |
| 2020 | ICDE | Online Pricing with Reserve Price Constraint for Personal Data Markets. | Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen |
| 2020 | ICML | Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. | 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 |
| 2020 | IJCAI | Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. | Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai |
| 2020 | IWQoS | Generative Adversarial Networks-based Privacy-Preserving 3D Reconstruction. | Qinya Li, Zhenzhe Zheng, Fan Wu, Guihai Chen |
| 2019 | INFOCOM | Pricing for Revenue Maximization in IoT Data Markets: An Information Design Perspective. | Weichao Mao, Zhenzhe Zheng, Fan Wu |
| 2019 | INFOCOM | Making Big Money from Small Sensors: Trading Time-Series Data under Pufferfish Privacy. | Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Xiaofeng Gao, Fan Wu |
| 2018 | IJCAI | Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations. | Weichao Mao, Zhenzhe Zheng, Fan Wu, Guihai Chen |
| 2018 | INFOCOM | Towards Personalized Task Matching in Mobile Crowdsensing via Fine-Grained User Profiling. | Shuo Yang, Kunyan Han, Zhenzhe Zheng, Shaojie Tang, Fan Wu |
| 2018 | INFOCOM | Pricing for Revenue Maximization in Inter-DataCenter Networks. | Zhenzhe Zheng, R. Srikant, Guihai Chen |
| 2018 | KDD | Unlocking the Value of Privacy: Trading Aggregate Statistics over Private Correlated Data. | Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Xiaofeng Gao, Guihai Chen |
| 2017 | ICDCS | Mechanism Design for Mobile Crowdsensing with Execution Uncertainty. | Zhenzhe Zheng, Zhaoxiong Yang, Fan Wu, Guihai Chen |
| 2017 | ICDE | Trading Data in Good Faith: Integrating Truthfulness and Privacy Preservation in Data Markets. | Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Xiaofeng Gao, Guihai Chen |
| 2017 | INFOCOM | Context-aware data quality estimation in mobile crowdsensing. | Shengzhong Liu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen |
| 2017 | IPCCC | Fault tolerant mechanism design for time coverage in crowdsensing system. | Yangsu Liu, Zhenzhe Zheng, Fan Wu, Xiaofeng Gao, Guihai Chen |
| 2017 | MOBIHOC | An Online Pricing Mechanism for Mobile Crowdsensing Data Markets. | Zhenzhe Zheng, Yanqing Peng, Fan Wu, Shaojie Tang, Guihai Chen |
| 2016 | GLOBECOM | MAPM: Movement-Based Adaptive Prediction Mechanism for Energy Conservation in Body Sensor Networks. | Yuanyuan Li, Linghe Kong, Fan Wu, Zhenzhe Zheng, Guihai Chen |
| 2015 | GLOBECOM | An Efficient, Privacy-Preserving, and Verifiable Online Auction Mechanism for Ad Exchanges. | Minping Zhou, Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Guihai Chen |
| 2014 | AAAI | A Strategy-Proof Online Auction with Time Discounting Values. | Fan Wu, Junming Liu, Zhenzhe Zheng, Guihai Chen |
| 2014 | MOBIHOC | Unknown combinatorial auction mechanisms for heterogeneous spectrum redistribution. | Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen |
| 2013 | ICPADS | SAIL: A Strategy-Proof Auction Mechanism for Cooperative Communication. | Zhenzhe Zheng, Juntao Wang, Fan Wu, Guihai Chen |
| 2013 | MOBIHOC | SMASHER: a strategy-proof combinatorial auction mechanism for heterogeneous channel redistribution. | Zhenzhe Zheng, Fan Wu, Guihai Chen |