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Zhenzhe Zheng

Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai, China

23 papers at tracked venues · 20 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-5094-5331 ↗Homepage ↗

Venues

SIGKDD ×10WWW ×5AAAI ×4WSDM ×2IJCAI ×1NeurIPS ×1

Frequent coauthors

Wenjing Li
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Yidan Xing
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Ruitao Zhu
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Qilong Lin
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Haoming Li
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Yonghao Dong
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Enze Yu
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Chenxin Mao
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Yibing Wan
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Chen Gong
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Zhuomin He
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Xinhao Luo
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Papers

  1. A Creator-Aware Recommendation System for Content Platforms
    WWW 2026 ·
    Wenjing Li
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  2. EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation
    AAAI 2026 ·
    Yonghao Dong
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  3. Prototype Augmentation-based Edge-end Heterogeneous Collaborative Learning
    WWW 2026 ·
    Enze Yu
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  4. Smaller but Better: Plasticity-Preserving Continual Learning for Embedded AI
    WWW 2026 ·
    Chenxin Mao
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  5. TTF: A Trapezoidal Temporal Fusion Framework for LTV Forecasting in Douyin
    AAAI 2026 ·
    Yibing Wan
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  6. A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices
    SIGKDD 2025 ·
    Chen Gong
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  7. AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference
    AAAI 2025 ·
    Zhuomin He
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  8. An Auto-Coupon Framework for Advertiser Retention in Online Advertising
    SIGKDD 2025 ·
    Yidan Xing
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  9. ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive
    NeurIPS 2025 ·
    Xinhao Luo
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  10. ComRecycle: An Intelligent Computation Recycling Framework for Online Advertising
    SIGKDD 2025 ·
    Chufeng Shi
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  11. Contextual Generative Auction with Permutation-level Externalities for Online Advertising
    SIGKDD 2025 ·
    Ruitao Zhu
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  12. Enabling Real-Time Inference in Online Continual Learning via Device-Cloud Collaboration
    WWW 2025 ·
    Haibo Liu
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  13. HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark
    SIGKDD 2025 ·
    Jianqing Zhang
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  14. Learning Optimal Auctions with Correlated Value Distributions
    AAAI 2025 ·
    Da Huo
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  15. Optimizing the Battery-Swapping Problem in Urban E-Bike Systems with Reinforcement Learning
    IJCAI 2025 ·
    Wenjing Li
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  16. Prices Do Matter: Modeling Price Competitiveness for Online Hotel Industry
    SIGKDD 2025 ·
    Ruitao Zhu
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  17. Robust Data-Driven Auction Design
    SIGKDD 2025 ·
    Qilong Lin
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  18. Cost-Effective Active Learning for Bid Exploration in Online Advertising
    WSDM 2024 ·
    Zixiao Wang
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  19. From Second to First: Mixed Censored Multi-Task Learning for Winning Price Prediction
    WSDM 2024 ·
    Jiani Huang
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  20. Preventing Strategic Behaviors in Collaborative Inference for Vertical Federated Learning
    SIGKDD 2024 ·
    Yidan Xing
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  21. Robust Auto-Bidding Strategies for Online Advertising
    SIGKDD 2024 ·
    Qilong Lin
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  22. Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding
    WWW 2024 ·
    Haoming Li
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  23. Truthful Bandit Mechanisms for Repeated Two-stage Ad Auctions
    SIGKDD 2024 ·
    Haoming Li
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