PPaperPicks

Zhenhua Dong

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

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Venues

WWW ×12ACL ×9SIGKDD ×7CIKM ×5AAAI ×4NeurIPS ×4EMNLP ×3RecSys ×3SIGIR ×2WSDM ×2ICDE ×1ICLR ×1IJCAI ×1NAACL ×1

Frequent coauthors

Sunhao Dai
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Xueyang Feng
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Xiaopeng Ye
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Xianquan Wang
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Rui Li
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Luyu Chen
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Zhipeng Bian
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Zeyu Zhang
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Jieming Zhu
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Manyi Zhang
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Leping Zhang
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Dezhi Yi
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Papers

  1. Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats
    ACL 2026 ·
    Manyi Zhang
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  2. Counteracting the Delayed Conversions in OCPC with Survival Analysis
    WSDM 2026 ·
    Leping Zhang
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  3. FairFS: Addressing Deep Feature Selection Biases for Recommender System
    WWW 2026 ·
    Xianquan Wang
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  4. FuXi-γ: Efficient Sequential Recommendation with Exponential-Power Temporal Encoder and Diagonal-Sparse Positional Mechanism
    SIGKDD 2026 ·
    Dezhi Yi
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  5. Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction
    AAAI 2026 ·
    Zhicheng Zhang
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  6. Optimizing Multi-Turn Interactive Recommendation Agents via Generative Intrinsic Motivation
    WWW 2026 ·
    Xueyang Feng
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  7. REACTION: Parameter-Efficient Learning for Recommendation
    AAAI 2026 ·
    Song-Li Wu
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  8. Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats
    ACL 2026 ·
    Pengxiang Zhao
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  9. A Contextual-Aware Position Encoding for Sequential Recommendation
    WWW 2025 ·
    Jun Yuan
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  10. AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization
    AAAI 2025 ·
    Xiao Zhang
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  11. Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models
    IJCAI 2025 ·
    Jie-Jing Shao
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  12. CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
    NeurIPS 2025 ·
    Rui Li
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  13. CART: A Generative Cross-Modal Retrieval Framework With Coarse-To-Fine Semantic Modeling
    ACL 2025 ·
    Minghui Fang
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  14. Distributional LLM-as-a-Judge
    NeurIPS 2025 ·
    Luyu Chen
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  15. EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration
    WWW 2025 ·
    Minjie Hong
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  16. Enhancing Multimodal Unified Representations for Cross Modal Generalization
    ACL 2025 ·
    Hai Huang
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  17. Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent
    ACL 2025 ·
    Xueyang Feng
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  18. Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop
    SIGIR 2025 ·
    Yuqi Zhou
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  19. Few-shot LLM Synthetic Data with Distribution Matching
    WWW 2025 ·
    Jiyuan Ren
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  20. ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment
    EMNLP 2025 ·
    Zhipeng Bian
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  21. Improving Retrospective Language Agents via Joint Policy Gradient Optimization
    NAACL 2025 ·
    Xueyang Feng
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  22. KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing
    SIGKDD 2025 ·
    Rui Li
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  23. LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry
    SIGIR 2025 ·
    Xiaopeng Ye
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  24. MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising
    WWW 2025 ·
    Quanyu Dai
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  25. MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation
    ACL 2025 ·
    Zhipeng Bian
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  26. MTRec: Learning to Align with User Preferences via Mental Reward Models
    NeurIPS 2025 ·
    Mengchen Zhao
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  27. MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents
    ACL 2025 ·
    Haoran Tan
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  28. MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents
    WWW 2025 ·
    Zeyu Zhang
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  29. MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants
    NeurIPS 2025 ·
    Zeyu Zhang
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  30. Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
    ICLR 2025 ·
    Haoyu Wang
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  31. Prompt Tuning as User Inherent Profile Inference Machine
    CIKM 2025 ·
    Yusheng Lu
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  32. Q-PRM: Adaptive Query Rewriting for Retrieval-Augmented Generation via Step-level Process Supervision
    EMNLP 2025 ·
    Xiaopeng Ye
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  33. RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation
    EMNLP 2025 ·
    Sashuai Zhou
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  34. RecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems
    WWW 2025 ·
    Luyu Chen
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  35. SocialEval: Evaluating Social Intelligence of Large Language Models
    ACL 2025 ·
    Jinfeng Zhou
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  36. TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems
    SIGKDD 2025 ·
    Xianquan Wang
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  37. Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era
    WSDM 2025 ·
    Sunhao Dai
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  38. AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising
    RecSys 2024 ·
    Yang Yang
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  39. Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era
    SIGKDD 2024 ·
    Sunhao Dai
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  40. CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation
    RecSys 2024 ·
    Jieming Zhu
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  41. Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
    ACL 2024 ·
    Sunhao Dai
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  42. Confidence-Aware Multi-Field Model Calibration
    CIKM 2024 ·
    Yuang Zhao
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  43. Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time
    SIGKDD 2024 ·
    Haiyuan Zhao
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  44. EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration
    SIGKDD 2024 ·
    Ye Wang
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  45. EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction
    CIKM 2024 ·
    Zexuan Qiu
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  46. Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach
    CIKM 2024 ·
    Xiaopeng Ye
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  47. LightCS: Selecting Quadratic Feature Crosses in Linear Complexity
    WWW 2024 ·
    Zhaocheng Du
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  48. MART: Learning Hierarchical Music Audio Representations with Part-Whole Transformer
    WWW 2024 ·
    Dong Yao
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  49. Modeling User Attention in Music Recommendation
    ICDE 2024 ·
    Sunhao Dai
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  50. Multimodal Pretraining and Generation for Recommendation: A Tutorial
    WWW 2024 ·
    Jieming Zhu
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  51. Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey
    SIGKDD 2024 ·
    Qijiong Liu
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  52. Proceedings of the 18th ACM Conference on Recommender Systems, RecSys 2024, Bari, Italy, October 14-18, 2024
    RecSys 2024 ·
    Tommaso Di Noia
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  53. Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data
    WWW 2024 ·
    Junjie Huang
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  54. UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning
    CIKM 2024 ·
    Boqi Dai
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  55. Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework
    AAAI 2024 ·
    Lei Wang
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