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Peng Jiang

Kwai Inc. / Kuaishou Inc., Beijing, China

51 papers at tracked venues · 40 at CORE A* · active 2024–2026

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Venues

WWW ×12SIGIR ×9AAAI ×6SIGKDD ×4WSDM ×4ACM MM ×3CIKM ×3ICML ×3RecSys ×3ICCV ×2EMNLP ×1NeurIPS ×1

Frequent coauthors

Wencai Ye
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Minmao Wang
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Yunshan Peng
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Zijian Zhang
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Yuezihan Jiang
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Ziru Liu
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Jiaxiang Liu
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Guangyan Gan
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Chao Wang
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Hao Jiang
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Zhenghai Xue
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Hongtao Liu
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Papers

  1. Align³GR: Unified Multi-Level Alignment for LLM-based Generative Recommendation
    AAAI 2026 ·
    Wencai Ye
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  2. Enhancing Multi-Valued Treatment Uplift Modeling with Knowledge Sharing and RCT Data
    SIGIR 2026 ·
    Jiaxiang Liu
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  3. Fairness-Aware Design for Contextual Experiments: Guaranteeing Reliability and Equity in Heterogeneous Subgroups
    AAAI 2026 ·
    Guangyan Gan
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  4. Hierarchical Semantic RL: Tackling the Problem of Dynamic Action Space for RL-based Recommendations
    WWW 2026 ·
    Minmao Wang
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  5. OPS: An Order-Preserving Sorting Network for Information Retrieval
    SIGIR 2026 ·
    Chao Wang
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  6. R&F-Inventory: A Large-Scale Dataset for Monotonic Inventory Estimation in Reach and Frequency Advertising
    SIGIR 2026 ·
    Yunshan Peng
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  7. ReST: A Plug-and-Play Spatially-Constrained Representation Enhancement Framework for Local-Life Recommendation
    SIGIR 2026 ·
    Hao Jiang
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  8. TemporalExpertNet: Cross-Temporal Knowledge Reuse for Promotion-Aware CVR Prediction
    WSDM 2026 ·
    Minmao Wang
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  9. AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
    WWW 2025 ·
    Zhenghai Xue
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  10. Balancing Revenue and Privacy with Signaling Schemes in Online Ad Auctions
    WSDM 2025 ·
    Hongtao Liu
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  11. D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching
    AAAI 2025 ·
    Jingyu Liu
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  12. DAS: Dual-Aligned Semantic IDs Empowered Industrial Recommender System
    CIKM 2025 ·
    Wencai Ye
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  13. DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems
    WSDM 2025 ·
    Jiaju Chen
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  14. EBaReT: Expert-guided Bag Reward Transformer for Auto Bidding
    WWW 2025 ·
    Kaiyuan Li
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  15. Expert-Guided Diffusion Planner for Auto-Bidding
    CIKM 2025 ·
    Yunshan Peng
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  16. FITMM: Adaptive Frequency-Aware Multimodal Recommendation via Information-Theoretic Representation Learning
    ACM MM 2025 ·
    Wei Yang
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  17. GAS: Generative Auto-bidding with Post-training Search
    WWW 2025 ·
    Yewen Li
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  18. Generative Auto-Bidding with Value-Guided Explorations
    SIGIR 2025 ·
    Jingtong Gao
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  19. HCMRM: A High-Consistency Multimodal Relevance Model for Search Ads
    WWW 2025 ·
    Guobing Gan
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  20. Hierarchical Sequence ID Representation of Large Language Models for Large-scale Recommendation Systems
    WWW 2025 ·
    Rui Zhao
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  21. Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model
    SIGIR 2025 ·
    Yu Xia
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  22. Improving Preference Alignment of LLM with Inference-Free Self-Refinement
    EMNLP 2025 ·
    Fukun Ma
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  23. LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
    AAAI 2025 ·
    Jian Jia
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  24. LLM-Powered User Simulator for Recommender System
    AAAI 2025 ·
    Zijian Zhang
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  25. Learning Cascade Ranking as One Network
    ICML 2025 ·
    Yunli Wang
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  26. Learning Monotonic Probabilities with a Generative Cost Model
    ICML 2025 ·
    Yongxiang Tang
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  27. Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion
    AAAI 2025 ·
    Cheng Wu
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  28. Music Grounding by Short Video
    ICCV 2025 ·
    Zijie Xin
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  29. Optimal Return-to-Go Guided Decision Transformer for Auto-Bidding in Advertisement
    WWW 2025 ·
    Hao Jiang
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  30. Optimizing Revenue through User Coupon Recommendations in Truthful Online Ad Auctions
    WWW 2025 ·
    Xiaodong Liu
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  31. Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads
    ICML 2025 ·
    Siqi Kou
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  32. Personalized Tree-Based Progressive Regression Model for Watch-Time Prediction in Short Video Recommendation
    CIKM 2025 ·
    Xiaokai Chen
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  33. R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems
    RecSys 2025 ·
    Hao Gu
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  34. Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems
    WWW 2025 ·
    Wenzheng Shu
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  35. S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain
    WSDM 2025 ·
    Rui Xia
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  36. Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
    NeurIPS 2025 ·
    Wei Yang
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  37. SweetTok: Semantic-Aware Spatial-Temporal Tokenizer for Compact Video Discretization
    ICCV 2025 ·
    Zhentao Tan
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  38. Discrete Conditional Diffusion for Reranking in Recommendation
    WWW 2024 ·
    Xiao Lin
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  39. Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples
    WWW 2024 ·
    Xiaoxiao Xu
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  40. Future Impact Decomposition in Request-level Recommendations
    SIGKDD 2024 ·
    Xiaobei Wang
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  41. Intersectional Two-sided Fairness in Recommendation
    WWW 2024 ·
    Yifan Wang
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  42. M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
    SIGIR 2024 ·
    Zijian Zhang
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  43. MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations
    RecSys 2024 ·
    Yuezihan Jiang
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  44. Modeling User Fatigue for Sequential Recommendation
    SIGIR 2024 ·
    Nian Li
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  45. Modeling User Retention through Generative Flow Networks
    SIGKDD 2024 ·
    Ziru Liu
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  46. Natural Language Explainable Recommendation with Robustness Enhancement
    SIGKDD 2024 ·
    Jingsen Zhang
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  47. Prompt Tuning for Item Cold-start Recommendation
    RecSys 2024 ·
    Yuezihan Jiang
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  48. Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
    SIGIR 2024 ·
    Ziru Liu
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  49. Spatiotemporal Fine-grained Video Description for Short Videos
    ACM MM 2024 ·
    Te Yang
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  50. Spatiotemporal Graph Guided Multi-modal Network for Livestreaming Product Retrieval
    ACM MM 2024 ·
    Xiaowan Hu
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  51. Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning
    SIGKDD 2024 ·
    Jiakai Tang
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