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Zhenhua Dong

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

DBLP profile ↗ORCID search ↗

Venues

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

Frequent coauthors

Jieming Zhu
×22
Quanyu Dai
×19
Jun Xu
×12
Zhaocheng Du
×12
Xu Chen
×11
Zhou Zhao
×9
Ji-Rong Wen
×9
Sunhao Dai
×8
Guohao Cai
×7
Zeyu Zhang
×7
Ruiming Tang
×7
Qinglin Jia
×6

Papers

  1. Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats
    ACL 2026 ·
    Manyi Zhang
    ,
    Ji-Fu Li
    ,
    Zhongao Sun
    ,
    Haoli Bai
    ,
    Hui-Ling Zhen
    , Zhenhua Dong,
    Xianzhi Yu
  2. Counteracting the Delayed Conversions in OCPC with Survival Analysis
    WSDM 2026 ·
    Leping Zhang
    ,
    Chenxuan He
    ,
    Xiao Zhang
    ,
    Yichao Wang
    ,
    Tengxiang Zhang
    , Zhenhua Dong,
    Jun Xu
  3. FairFS: Addressing Deep Feature Selection Biases for Recommender System
    WWW 2026 ·
    Xianquan Wang
    ,
    Zhaocheng Du
    ,
    Jieming Zhu
    ,
    Qinglin Jia
    , Zhenhua Dong,
    Kai Zhang
  4. FuXi-γ: Efficient Sequential Recommendation with Exponential-Power Temporal Encoder and Diagonal-Sparse Positional Mechanism
    SIGKDD 2026 ·
    Dezhi Yi
    ,
    Wei Guo
    ,
    Wenyang Cui
    ,
    Wenxuan He
    ,
    Huifeng Guo
    ,
    Yong Liu
    , Zhenhua Dong,
    Ye Lu
  5. Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction
    AAAI 2026 ·
    Zhicheng Zhang
    ,
    Zhaocheng Du
    ,
    Jieming Zhu
    ,
    Jiwei Tang
    ,
    Fengyuan Lu
    ,
    Wang Jiaheng
    ,
    Song-Li Wu
    ,
    Qianhui Zhu
    ,
    Jingyu Li
    ,
    Hai-Tao Zheng
    , Zhenhua Dong
  6. Optimizing Multi-Turn Interactive Recommendation Agents via Generative Intrinsic Motivation
    WWW 2026 ·
    Xueyang Feng
    ,
    Jiakai Tang
    ,
    Xu Chen
    ,
    Quanyu Dai
    , Zhenhua Dong
  7. REACTION: Parameter-Efficient Learning for Recommendation
    AAAI 2026 ·
    Song-Li Wu
    ,
    Zhaocheng Du
    ,
    Qinglin Jia
    , Zhenhua Dong
  8. Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats
    ACL 2026 ·
    Pengxiang Zhao
    ,
    Hui-Ling Zhen
    ,
    Xing Li
    ,
    Han Bao
    ,
    Weizhe Lin
    ,
    Zhiyuan Yang
    ,
    Yu Zi Wei
    ,
    Xin Wang
    ,
    Mingxuan Yuan
    ,
    Xianzhi Yu
    , Zhenhua Dong
  9. A Contextual-Aware Position Encoding for Sequential Recommendation
    WWW 2025 ·
    Jun Yuan
    ,
    Guohao Cai
    , Zhenhua Dong
  10. AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization
    AAAI 2025 ·
    Xiao Zhang
    ,
    Sunhao Dai
    ,
    Jun Xu
    ,
    Yong Liu
    , Zhenhua Dong
  11. Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models
    IJCAI 2025 ·
    Jie-Jing Shao
    ,
    Hong-Jie You
    ,
    Guohao Cai
    ,
    Quanyu Dai
    , Zhenhua Dong,
    Lan-Zhe Guo
  12. CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
    NeurIPS 2025 ·
    Rui Li
    ,
    Zeyu Zhang
    ,
    Xiaohe Bo
    ,
    Zihang Tian
    ,
    Xu Chen
    ,
    Quanyu Dai
    , Zhenhua Dong,
    Ruiming Tang
  13. CART: A Generative Cross-Modal Retrieval Framework With Coarse-To-Fine Semantic Modeling
    ACL 2025 ·
    Minghui Fang
    ,
    Shengpeng Ji
    ,
    Jialong Zuo
    ,
    Hai Huang
    ,
    Yan Xia
    ,
    Jieming Zhu
    ,
    Xize Cheng
    ,
    Xiaoda Yang
    ,
    Wenrui Liu
    ,
    Gang Wang
    , Zhenhua Dong,
    Zhou Zhao
  14. Distributional LLM-as-a-Judge
    NeurIPS 2025 ·
    Luyu Chen
    ,
    Zeyu Zhang
    ,
    Haoran Tan
    ,
    Quanyu Dai
    ,
    Hao Yang
    , Zhenhua Dong,
    Xu Chen
  15. EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration
    WWW 2025 ·
    Minjie Hong
    ,
    Yan Xia
    ,
    Zehan Wang
    ,
    Jieming Zhu
    ,
    Ye Wang
    ,
    Sihang Cai
    ,
    Xiaoda Yang
    ,
    Quanyu Dai
    , Zhenhua Dong,
    Zhimeng Zhang
    ,
    Zhou Zhao
  16. Enhancing Multimodal Unified Representations for Cross Modal Generalization
    ACL 2025 ·
    Hai Huang
    ,
    Yan Xia
    ,
    Shengpeng Ji
    ,
    Shulei Wang
    ,
    Hanting Wang
    ,
    Minghui Fang
    ,
    Jieming Zhu
    , Zhenhua Dong,
    Sashuai Zhou
    ,
    Zhou Zhao
  17. Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent
    ACL 2025 ·
    Xueyang Feng
    ,
    Jingsen Zhang
    ,
    Jiakai Tang
    ,
    Wei Li
    ,
    Guohao Cai
    ,
    Xu Chen
    ,
    Quanyu Dai
    ,
    Yue Zhu
    , Zhenhua Dong
  18. Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop
    SIGIR 2025 ·
    Yuqi Zhou
    ,
    Sunhao Dai
    ,
    Liang Pang
    ,
    Gang Wang
    , Zhenhua Dong,
    Jun Xu
    ,
    Ji-Rong Wen
  19. Few-shot LLM Synthetic Data with Distribution Matching
    WWW 2025 ·
    Jiyuan Ren
    ,
    Zhaocheng Du
    ,
    Zhihao Wen
    ,
    Qinglin Jia
    ,
    Sunhao Dai
    ,
    Chuhan Wu
    , Zhenhua Dong
  20. ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment
    EMNLP 2025 ·
    Zhipeng Bian
    ,
    Jieming Zhu
    ,
    Qijiong Liu
    ,
    Wang Lin
    ,
    Guohao Cai
    ,
    Zhaocheng Du
    ,
    Jiacheng Sun
    ,
    Zhou Zhao
    , Zhenhua Dong
  21. Improving Retrospective Language Agents via Joint Policy Gradient Optimization
    NAACL 2025 ·
    Xueyang Feng
    ,
    Bo Lan
    ,
    Quanyu Dai
    ,
    Lei Wang
    ,
    Jiakai Tang
    ,
    Xu Chen
    , Zhenhua Dong,
    Ji-Rong Wen
  22. KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing
    SIGKDD 2025 ·
    Rui Li
    ,
    Quanyu Dai
    ,
    Zeyu Zhang
    ,
    Xu Chen
    , Zhenhua Dong,
    Ji-Rong Wen
  23. LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry
    SIGIR 2025 ·
    Xiaopeng Ye
    ,
    Chen Xu
    ,
    Zhongxiang Sun
    ,
    Jun Xu
    ,
    Gang Wang
    , Zhenhua Dong,
    Ji-Rong Wen
  24. MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising
    WWW 2025 ·
    Quanyu Dai
    ,
    Jiaren Xiao
    ,
    Zhaocheng Du
    ,
    Jieming Zhu
    ,
    Chengxiao Luo
    ,
    Xiao-Ming Wu
    , Zhenhua Dong
  25. MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation
    ACL 2025 ·
    Zhipeng Bian
    ,
    Jieming Zhu
    ,
    Xuyang Xie
    ,
    Quanyu Dai
    ,
    Zhou Zhao
    , Zhenhua Dong
  26. MTRec: Learning to Align with User Preferences via Mental Reward Models
    NeurIPS 2025 ·
    Mengchen Zhao
    ,
    Yifan Gao
    ,
    Yaqing Hou
    ,
    Xiangyang Li
    ,
    Pengjie Gu
    , Zhenhua Dong,
    Ruiming Tang
    ,
    Yi Cai
  27. MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents
    ACL 2025 ·
    Haoran Tan
    ,
    Zeyu Zhang
    ,
    Chen Ma
    ,
    Xu Chen
    ,
    Quanyu Dai
    , Zhenhua Dong
  28. MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents
    WWW 2025 ·
    Zeyu Zhang
    ,
    Quanyu Dai
    ,
    Xu Chen
    ,
    Rui Li
    ,
    Zhongyang Li
    , Zhenhua Dong
  29. MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants
    NeurIPS 2025 ·
    Zeyu Zhang
    ,
    Quanyu Dai
    ,
    Luyu Chen
    ,
    Zeren Jiang
    ,
    Rui Li
    ,
    Jieming Zhu
    ,
    Xu Chen
    ,
    Yi Xie
    , Zhenhua Dong,
    Ji-Rong Wen
  30. Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
    ICLR 2025 ·
    Haoyu Wang
    ,
    Sunhao Dai
    ,
    Haiyuan Zhao
    ,
    Liang Pang
    ,
    Xiao Zhang
    ,
    Gang Wang
    , Zhenhua Dong,
    Jun Xu
    ,
    Ji-Rong Wen
  31. Prompt Tuning as User Inherent Profile Inference Machine
    CIKM 2025 ·
    Yusheng Lu
    ,
    Zhaocheng Du
    ,
    Xiangyang Li
    ,
    Pengyue Jia
    ,
    Yejing Wang
    ,
    Weiwen Liu
    ,
    Yichao Wang
    ,
    Huifeng Guo
    ,
    Ruiming Tang
    , Zhenhua Dong,
    Yongrui Duan
    ,
    Xiangyu Zhao
  32. Q-PRM: Adaptive Query Rewriting for Retrieval-Augmented Generation via Step-level Process Supervision
    EMNLP 2025 ·
    Xiaopeng Ye
    ,
    Chen Xu
    ,
    Chaoliang Zhang
    ,
    Zhaocheng Du
    ,
    Jun Xu
    ,
    Gang Wang
    , Zhenhua Dong
  33. RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation
    EMNLP 2025 ·
    Sashuai Zhou
    ,
    Weinan Gan
    ,
    Qijiong Liu
    ,
    Ke Lei
    ,
    Jieming Zhu
    ,
    Hai Huang
    ,
    Yan Xia
    ,
    Ruiming Tang
    , Zhenhua Dong,
    Zhou Zhao
  34. RecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems
    WWW 2025 ·
    Luyu Chen
    ,
    Quanyu Dai
    ,
    Zeyu Zhang
    ,
    Xueyang Feng
    ,
    Mingyu Zhang
    ,
    Pengcheng Tang
    ,
    Xu Chen
    ,
    Yue Zhu
    , Zhenhua Dong
  35. SocialEval: Evaluating Social Intelligence of Large Language Models
    ACL 2025 ·
    Jinfeng Zhou
    ,
    Yuxuan Chen
    ,
    Yihan Shi
    ,
    Xuanming Zhang
    ,
    Leqi Lei
    ,
    Yi Feng
    ,
    Zexuan Xiong
    ,
    Miao Yan
    ,
    Xunzhi Wang
    ,
    Yaru Cao
    ,
    Jianing Yin
    ,
    Shuai Wang
    ,
    Quanyu Dai
    , Zhenhua Dong,
    Hongning Wang
    ,
    Minlie Huang
  36. TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems
    SIGKDD 2025 ·
    Xianquan Wang
    ,
    Zhaocheng Du
    ,
    Jieming Zhu
    ,
    Chuhan Wu
    ,
    Qinglin Jia
    , Zhenhua Dong
  37. Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era
    WSDM 2025 ·
    Sunhao Dai
    ,
    Chen Xu
    ,
    Shicheng Xu
    ,
    Liang Pang
    , Zhenhua Dong,
    Jun Xu
  38. AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising
    RecSys 2024 ·
    Yang Yang
    ,
    Bo Chen
    ,
    Chenxu Zhu
    ,
    Menghui Zhu
    ,
    Xinyi Dai
    ,
    Huifeng Guo
    ,
    Muyu Zhang
    , Zhenhua Dong,
    Ruiming Tang
  39. Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era
    SIGKDD 2024 ·
    Sunhao Dai
    ,
    Chen Xu
    ,
    Shicheng Xu
    ,
    Liang Pang
    , Zhenhua Dong,
    Jun Xu
  40. CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation
    RecSys 2024 ·
    Jieming Zhu
    ,
    Mengqun Jin
    ,
    Qijiong Liu
    ,
    Zexuan Qiu
    , Zhenhua Dong,
    Xiu Li
  41. Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
    ACL 2024 ·
    Sunhao Dai
    ,
    Weihao Liu
    ,
    Yuqi Zhou
    ,
    Liang Pang
    ,
    Rongju Ruan
    ,
    Gang Wang
    , Zhenhua Dong,
    Jun Xu
    ,
    Ji-Rong Wen
  42. Confidence-Aware Multi-Field Model Calibration
    CIKM 2024 ·
    Yuang Zhao
    ,
    Chuhan Wu
    ,
    Qinglin Jia
    ,
    Hong Zhu
    ,
    Jia Yan
    ,
    Libin Zong
    ,
    Linxuan Zhang
    , Zhenhua Dong,
    Muyu Zhang
  43. Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time
    SIGKDD 2024 ·
    Haiyuan Zhao
    ,
    Guohao Cai
    ,
    Jieming Zhu
    , Zhenhua Dong,
    Jun Xu
    ,
    Ji-Rong Wen
  44. EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration
    SIGKDD 2024 ·
    Ye Wang
    ,
    Jiahao Xun
    ,
    Minjie Hong
    ,
    Jieming Zhu
    ,
    Tao Jin
    ,
    Wang Lin
    ,
    Haoyuan Li
    ,
    Linjun Li
    ,
    Yan Xia
    ,
    Zhou Zhao
    , Zhenhua Dong
  45. EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction
    CIKM 2024 ·
    Zexuan Qiu
    ,
    Jieming Zhu
    ,
    Yankai Chen
    ,
    Guohao Cai
    ,
    Weiwen Liu
    , Zhenhua Dong,
    Irwin King
  46. Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach
    CIKM 2024 ·
    Xiaopeng Ye
    ,
    Chen Xu
    ,
    Jun Xu
    ,
    Xuyang Xie
    ,
    Gang Wang
    , Zhenhua Dong
  47. LightCS: Selecting Quadratic Feature Crosses in Linear Complexity
    WWW 2024 ·
    Zhaocheng Du
    ,
    Junhao Chen
    ,
    Qinglin Jia
    ,
    Chuhan Wu
    ,
    Jieming Zhu
    , Zhenhua Dong,
    Ruiming Tang
  48. MART: Learning Hierarchical Music Audio Representations with Part-Whole Transformer
    WWW 2024 ·
    Dong Yao
    ,
    Jieming Zhu
    ,
    Jiahao Xun
    ,
    Shengyu Zhang
    ,
    Zhou Zhao
    ,
    Liqun Deng
    ,
    Wenqiao Zhang
    , Zhenhua Dong,
    Xin Jiang
  49. Modeling User Attention in Music Recommendation
    ICDE 2024 ·
    Sunhao Dai
    ,
    Ninglu Shao
    ,
    Jieming Zhu
    ,
    Xiao Zhang
    , Zhenhua Dong,
    Jun Xu
    ,
    Quanyu Dai
    ,
    Ji-Rong Wen
  50. Multimodal Pretraining and Generation for Recommendation: A Tutorial
    WWW 2024 ·
    Jieming Zhu
    ,
    Xin Zhou
    ,
    Chuhan Wu
    ,
    Rui Zhang
    , Zhenhua Dong
  51. Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey
    SIGKDD 2024 ·
    Qijiong Liu
    ,
    Jieming Zhu
    ,
    Yanting Yang
    ,
    Quanyu Dai
    ,
    Zhaocheng Du
    ,
    Xiao-Ming Wu
    ,
    Zhou Zhao
    ,
    Rui Zhang
    , Zhenhua Dong
  52. Proceedings of the 18th ACM Conference on Recommender Systems, RecSys 2024, Bari, Italy, October 14-18, 2024
    RecSys 2024 ·
    Tommaso Di Noia
    ,
    Pasquale Lops
    ,
    Thorsten Joachims
    ,
    Katrien Verbert
    ,
    Pablo Castells
    , Zhenhua Dong,
    Ben London
  53. Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data
    WWW 2024 ·
    Junjie Huang
    ,
    Guohao Cai
    ,
    Jieming Zhu
    , Zhenhua Dong,
    Ruiming Tang
    ,
    Weinan Zhang
    ,
    Yong Yu
  54. UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning
    CIKM 2024 ·
    Boqi Dai
    ,
    Zhaocheng Du
    ,
    Jieming Zhu
    ,
    Jintao Xu
    ,
    Deqing Zou
    ,
    Quanyu Dai
    , Zhenhua Dong,
    Rui Zhang
    ,
    Hai-Tao Zheng
  55. Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework
    AAAI 2024 ·
    Lei Wang
    ,
    Xu Chen
    , Zhenhua Dong,
    Quanyu Dai