PPaperPicks

Jieming Zhu

44 papers at tracked venues · 32 at CORE A* · active 2024–2026

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Venues

WWW ×12SIGKDD ×8RecSys ×4AAAI ×3ACL ×3NeurIPS ×3CIKM ×2EMNLP ×2InterSpeech ×2ACM MM ×1CVPR ×1ICDE ×1IJCAI ×1WACV ×1

Frequent coauthors

Qijiong Liu
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Xianquan Wang
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Honghao Li
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Guanghao Meng
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Minghui Fang
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Zhipeng Bian
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Zhaocheng Du
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Zhicheng Zhang
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Rong Shan
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Tianqi Liu
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Tianyu Zhan
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Minjie Hong
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Papers

  1. FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction
    SIGKDD 2026 ·
    Honghao Li
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  2. FairFS: Addressing Deep Feature Selection Biases for Recommender System
    WWW 2026 ·
    Xianquan Wang
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  3. Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction
    AAAI 2026 ·
    Zhicheng Zhang
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  4. Suit the Remedy to the Retriever: Interpretable Query Optimization with Retriever Preference Alignment for Vision-Language Retrieval
    AAAI 2026 ·
    Guanghao Meng
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  5. An Automatic Graph Construction Framework based on Large Language Models for Recommendation
    SIGKDD 2025 ·
    Rong Shan
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  6. CART: A Generative Cross-Modal Retrieval Framework With Coarse-To-Fine Semantic Modeling
    ACL 2025 ·
    Minghui Fang
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  7. CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration
    ACM MM 2025 ·
    Tianqi Liu
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  8. Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation
    NeurIPS 2025 ·
    Qijiong Liu
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  9. Device-Cloud Collaborative Correction for On-Device Recommendation
    IJCAI 2025 ·
    Tianyu Zhan
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  10. EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration
    WWW 2025 ·
    Minjie Hong
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  11. Enhancing Multimodal Unified Representations for Cross Modal Generalization
    ACL 2025 ·
    Hai Huang
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  12. EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models
    AAAI 2025 ·
    Guanghao Meng
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  13. GTA: Towards Generative Text-To-Audio Retrieval via Multi-Scale Tokenizer
    InterSpeech 2025 ·
    Minghui Fang
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  14. ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment
    EMNLP 2025 ·
    Zhipeng Bian
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  15. MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising
    WWW 2025 ·
    Quanyu Dai
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  16. MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation
    ACL 2025 ·
    Zhipeng Bian
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  17. MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants
    NeurIPS 2025 ·
    Zeyu Zhang
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  18. Personalized Visual Content Generation in Conversational Systems
    NeurIPS 2025 ·
    Xianquan Wang
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  19. ROMA: Recommendation-Oriented Language Model Adaptation Using Multi-Modal Multi-Domain Item Sequences
    SIGKDD 2025 ·
    Xingyu Lu
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  20. RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation
    EMNLP 2025 ·
    Sashuai Zhou
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  21. Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction
    SIGKDD 2025 ·
    Honghao Li
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  22. TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems
    SIGKDD 2025 ·
    Xianquan Wang
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  23. Towards Transformer-Based Aligned Generation with Self-Coherence Guidance
    CVPR 2025 ·
    Shulei Wang
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  24. Unsupervised Domain Adaptive Visual Question Answering in the Era of Multi-Modal Large Language Models
    WACV 2025 ·
    Weixi Weng
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  25. Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval
    InterSpeech 2025 ·
    Ruofan Hu
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  26. A Tutorial on Feature Interpretation in Recommender Systems
    RecSys 2024 ·
    Zhaocheng Du
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  27. Benchmarking News Recommendation in the Era of Green AI
    WWW 2024 ·
    Qijiong Liu
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  28. CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation
    RecSys 2024 · Jieming Zhu
  29. Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time
    SIGKDD 2024 ·
    Haiyuan Zhao
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  30. Discrete Semantic Tokenization for Deep CTR Prediction
    WWW 2024 ·
    Qijiong Liu
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  31. EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration
    SIGKDD 2024 ·
    Ye Wang
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  32. EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction
    CIKM 2024 ·
    Zexuan Qiu
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  33. Enhancing News Recommendation with Real-Time Feedback and Generative Sequence Modeling
    RecSys 2024 ·
    Qi Zhang
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  34. Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization
    WWW 2024 ·
    Qijiong Liu
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  35. LightCS: Selecting Quadratic Feature Crosses in Linear Complexity
    WWW 2024 ·
    Zhaocheng Du
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  36. MART: Learning Hierarchical Music Audio Representations with Part-Whole Transformer
    WWW 2024 ·
    Dong Yao
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  37. Modeling User Attention in Music Recommendation
    ICDE 2024 ·
    Sunhao Dai
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  38. Multimodal Pretraining and Generation for Recommendation: A Tutorial
    WWW 2024 · Jieming Zhu
  39. Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey
    SIGKDD 2024 ·
    Qijiong Liu
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  40. PMG : Personalized Multimodal Generation with Large Language Models
    WWW 2024 ·
    Xiaoteng Shen
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  41. RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction
    WWW 2024 ·
    Yushen Li
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  42. Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data
    WWW 2024 ·
    Junjie Huang
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  43. Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models
    RecSys 2024 ·
    Yunjia Xi
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  44. UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning
    CIKM 2024 ·
    Boqi Dai
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