Peng Zhang

Venues

Frequent coauthors

Papers

1. Drift-Aware Incremental Token Adaptation with Collaborative Semantics for Generative Recommendation
   SIGIR 2026 ·

   Yuebo Feng

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2. Echoes of Norms: Investigating Counterspeech Bots' Influence on Bystanders in Online Communities
   CHI 2026 ·

   Mengyao Wang

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3. IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization
   AAAI 2026 ·

   Yuzhuo Bai

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4. LLM Agent-based Shilling Attack on Recommender Systems
   WSDM 2026 ·

   Shengkang Gu

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5. LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific Tasks
   ACL 2026 ·

   Yuxuan Lu

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6. MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions
   AAAI 2026 ·

   Yanxu Zhu

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7. Power Echoes: Investigating Moderation Biases in Online Power-Asymmetric Conflicts
   CHI 2026 ·

   Yaqiong Li

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8. RQ-GMM: Residual Quantized Gaussian Mixture Model for Multimodal Semantic Discretization in CTR Prediction
   SIGIR 2026 ·

   Ziye Tong

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9. SparkTales: Facilitating Cross-Language Collaborative Storytelling through Coordinator-AI Collaboration
   CHI 2026 ·

   Wenxin Zhao

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10. AOTree: Aspect Order Tree-Based Model for Explainable Recommendation
    ICWSM 2025 ·

    Wenxin Zhao

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11. AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations
    SIGIR 2025 ·

    Jiahao Liu

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12. DeMod: A Holistic Tool with Explainable Detection and Personalized Modification for Toxicity Censorship
    CSCW 2025 ·

    Yaqiong Li

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13. EvalAgent: Towards Evaluating News Recommender Systems with LLM-based Agents
    CIKM 2025 ·

    Guangping Zhang

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14. FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation
    SIGIR 2025 ·

    Mingzhe Han

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15. Filtering Discomforting Recommendations with Large Language Models
    WWW 2025 ·

    Jiahao Liu

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16. Frequency-aware Graph Signal Processing for Collaborative Filtering
    WWW 2025 ·

    Jiafeng Xia

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17. Improving LLM-powered Recommendations with Personalized Information
    SIGIR 2025 ·

    Jiahao Liu

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18. Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation
    WSDM 2025 ·

    Jiafeng Xia

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19. RemiHaven: Integrating "In-Town" and "Out-of-Town" Peers to Provide Personalized Reminiscence Support for Older Drifters
    CHI 2025 ·

    Xuechen Zhang

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20. Unbiased Collaborative Filtering with Fair Sampling
    SIGIR 2025 ·

    Jiahao Liu

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21. Value Compass Benchmarks: A Comprehensive, Generative and Self-Evolving Platform for LLMs' Value Evaluation
    ACL 2025 ·

    Jing Yao

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22. WePilot: Integrating Younger Family Members and Chatbot to Support Older Adults Learning Smartphone Usage
    CSCW 2025 ·

    Haonan Zhang

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23. YouthCare: Building a Personalized Collaborative Video Censorship Tool to Support Parent-Child Joint Media Engagement
    CHI 2025 ·

    Wenxin Zhao

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24. Denevil: towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning
    ICLR 2024 ·

    Shitong Duan

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25. Hierarchical Graph Signal Processing for Collaborative Filtering
    WWW 2024 ·

    Jiafeng Xia

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26. Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization
    EMNLP 2024 ·

    Shitong Duan

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27. Neural Kalman Filtering for Robust Temporal Recommendation
    WSDM 2024 ·

    Jiafeng Xia

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28. On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models
    IJCAI 2024 ·

    Xinpeng Wang

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