PPaperPicks

Peng Jiang

Kwai Inc. / Kuaishou Inc., Beijing, China

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

DBLP profile ↗ORCID 0000-0002-9266-0780 ↗Google Scholar ↗Homepage ↗

Venues

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

Frequent coauthors

Kun Gai
×12
Qingpeng Cai
×11
Xialong Liu
×9
Lantao Hu
×9
Yanhua Cheng
×8
Han Li
×8
Quan Chen
×8
Yongxiang Tang
×6
Yanxiang Zeng
×6
Shuchang Liu
×6
Rui Zhong
×6
Fei Pan
×5

Papers

  1. Align³GR: Unified Multi-Level Alignment for LLM-based Generative Recommendation
    AAAI 2026 ·
    Wencai Ye
    ,
    Mingjie Sun
    ,
    Shuhang Chen
    ,
    Wenjin Wu
    , Peng Jiang
  2. Enhancing Multi-Valued Treatment Uplift Modeling with Knowledge Sharing and RCT Data
    SIGIR 2026 ·
    Jiaxiang Liu
    ,
    Luo He
    ,
    Zhenghao Zeng
    ,
    Deqiang Kong
    ,
    Funan Mu
    ,
    Jiaming Zhang
    ,
    Zilong Lu
    , Peng Jiang,
    Hongyan Liu
  3. Fairness-Aware Design for Contextual Experiments: Guaranteeing Reliability and Equity in Heterogeneous Subgroups
    AAAI 2026 ·
    Guangyan Gan
    ,
    Ling Zhang
    ,
    Yanhua Cheng
    ,
    Yongxiang Tang
    ,
    Kaiyuan Li
    ,
    Xialong Liu
    , Peng Jiang
  4. Hierarchical Semantic RL: Tackling the Problem of Dynamic Action Space for RL-based Recommendations
    WWW 2026 ·
    Minmao Wang
    ,
    Xingchen Liu
    ,
    Shijie Yi
    ,
    Likang Wu
    ,
    Hongke Zhao
    ,
    Fei Pan
    ,
    Qingpeng Cai
    , Peng Jiang
  5. OPS: An Order-Preserving Sorting Network for Information Retrieval
    SIGIR 2026 ·
    Chao Wang
    ,
    Yongxiang Tang
    ,
    Guikai Luan
    ,
    Kaiyuan Li
    ,
    Yanhua Cheng
    ,
    Xialong Liu
    ,
    Shu Wu
    , Peng Jiang
  6. R&F-Inventory: A Large-Scale Dataset for Monotonic Inventory Estimation in Reach and Frequency Advertising
    SIGIR 2026 ·
    Yunshan Peng
    ,
    Ji Wu
    ,
    Wentao Bai
    ,
    Yunke Bai
    ,
    Jinan Pang
    ,
    Wenzheng Shu
    ,
    Yanxiang Zeng
    ,
    Xialong Liu
    , Peng Jiang
  7. ReST: A Plug-and-Play Spatially-Constrained Representation Enhancement Framework for Local-Life Recommendation
    SIGIR 2026 ·
    Hao Jiang
    ,
    Long Zhang
    ,
    Guoquan Wang
    ,
    Sheng Yu
    ,
    Yang Zeng
    ,
    Wencong Zeng
    ,
    Fei Pan
    , Peng Jiang,
    Guorui Zhou
  8. TemporalExpertNet: Cross-Temporal Knowledge Reuse for Promotion-Aware CVR Prediction
    WSDM 2026 ·
    Minmao Wang
    ,
    Rui Zhang
    ,
    Shijie Yi
    ,
    Likang Wu
    ,
    Hongke Zhao
    ,
    Fei Pan
    ,
    Qingpeng Cai
    , Peng Jiang
  9. AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
    WWW 2025 ·
    Zhenghai Xue
    ,
    Qingpeng Cai
    ,
    Bin Yang
    ,
    Lantao Hu
    , Peng Jiang,
    Kun Gai
    ,
    Bo An
  10. Balancing Revenue and Privacy with Signaling Schemes in Online Ad Auctions
    WSDM 2025 ·
    Hongtao Liu
    ,
    Luxi Chen
    ,
    Yiming Ding
    ,
    Changcheng Li
    ,
    Han Li
    , Peng Jiang,
    Weiran Shen
  11. D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching
    AAAI 2025 ·
    Jingyu Liu
    ,
    Minquan Wang
    ,
    Ye Ma
    ,
    Bo Wang
    ,
    Aozhu Chen
    ,
    Quan Chen
    , Peng Jiang,
    Xirong Li
  12. DAS: Dual-Aligned Semantic IDs Empowered Industrial Recommender System
    CIKM 2025 ·
    Wencai Ye
    ,
    Mingjie Sun
    ,
    Shaoyun Shi
    ,
    Peng Wang
    ,
    Wenjin Wu
    , Peng Jiang
  13. DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems
    WSDM 2025 ·
    Jiaju Chen
    ,
    Chongming Gao
    ,
    Shuai Yuan
    ,
    Shuchang Liu
    ,
    Qingpeng Cai
    , Peng Jiang
  14. EBaReT: Expert-guided Bag Reward Transformer for Auto Bidding
    WWW 2025 ·
    Kaiyuan Li
    ,
    Pengyu Wang
    ,
    Yunshan Peng
    ,
    Pengjia Yuan
    ,
    Yanxiang Zeng
    ,
    Rui Xiang
    ,
    Yanhua Cheng
    ,
    Xialong Liu
    , Peng Jiang
  15. Expert-Guided Diffusion Planner for Auto-Bidding
    CIKM 2025 ·
    Yunshan Peng
    ,
    Wenzheng Shu
    ,
    Jiahao Sun
    ,
    Yanxiang Zeng
    ,
    Jinan Pang
    ,
    Wentao Bai
    ,
    Yunke Bai
    ,
    Xialong Liu
    , Peng Jiang
  16. FITMM: Adaptive Frequency-Aware Multimodal Recommendation via Information-Theoretic Representation Learning
    ACM MM 2025 ·
    Wei Yang
    ,
    Rui Zhong
    ,
    Yiqun Chen
    ,
    Shixuan Li
    ,
    Heng Ping
    ,
    Chi Lu
    , Peng Jiang
  17. GAS: Generative Auto-bidding with Post-training Search
    WWW 2025 ·
    Yewen Li
    ,
    Shuai Mao
    ,
    Jingtong Gao
    ,
    Nan Jiang
    ,
    Yunjian Xu
    ,
    Qingpeng Cai
    ,
    Fei Pan
    , Peng Jiang,
    Bo An
  18. Generative Auto-Bidding with Value-Guided Explorations
    SIGIR 2025 ·
    Jingtong Gao
    ,
    Yewen Li
    ,
    Shuai Mao
    ,
    Peng Jiang
    ,
    Nan Jiang
    ,
    Yejing Wang
    ,
    Qingpeng Cai
    ,
    Fei Pan
    , Peng Jiang,
    Kun Gai
    ,
    Bo An
    ,
    Xiangyu Zhao
  19. HCMRM: A High-Consistency Multimodal Relevance Model for Search Ads
    WWW 2025 ·
    Guobing Gan
    ,
    Kaiming Gao
    ,
    Li Wang
    ,
    Shen Jiang
    , Peng Jiang
  20. Hierarchical Sequence ID Representation of Large Language Models for Large-scale Recommendation Systems
    WWW 2025 ·
    Rui Zhao
    ,
    Rui Zhong
    ,
    Haoran Zheng
    ,
    Wei Yang
    ,
    Chi Lu
    ,
    Beihong Jin
    , Peng Jiang,
    Kun Gai
  21. Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model
    SIGIR 2025 ·
    Yu Xia
    ,
    Rui Zhong
    ,
    Hao Gu
    ,
    Wei Yang
    ,
    Chi Lu
    , Peng Jiang,
    Kun Gai
  22. Improving Preference Alignment of LLM with Inference-Free Self-Refinement
    EMNLP 2025 ·
    Fukun Ma
    ,
    Kaibin Tian
    ,
    Jieting Xue
    ,
    Xiaoyi Wang
    ,
    Ye Ma
    ,
    Quan Chen
    , Peng Jiang,
    Lijie Wen
  23. LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
    AAAI 2025 ·
    Jian Jia
    ,
    Yipei Wang
    ,
    Yan Li
    ,
    Honggang Chen
    ,
    Xuehan Bai
    ,
    Zhaocheng Liu
    ,
    Jian Liang
    ,
    Quan Chen
    ,
    Han Li
    , Peng Jiang,
    Kun Gai
  24. LLM-Powered User Simulator for Recommender System
    AAAI 2025 ·
    Zijian Zhang
    ,
    Shuchang Liu
    ,
    Ziru Liu
    ,
    Rui Zhong
    ,
    Qingpeng Cai
    ,
    Xiangyu Zhao
    ,
    Chunxu Zhang
    ,
    Qidong Liu
    , Peng Jiang
  25. Learning Cascade Ranking as One Network
    ICML 2025 ·
    Yunli Wang
    ,
    Zhen Zhang
    ,
    Zhiqiang Wang
    ,
    Zixuan Yang
    ,
    Yu Li
    ,
    Jian Yang
    ,
    Shiyang Wen
    , Peng Jiang,
    Kun Gai
  26. Learning Monotonic Probabilities with a Generative Cost Model
    ICML 2025 ·
    Yongxiang Tang
    ,
    Yanhua Cheng
    ,
    Xiaocheng Liu
    ,
    Jiaochen Chen
    ,
    Yanxiang Zeng
    ,
    Ning Luo
    ,
    Pengjia Yuan
    ,
    Xialong Liu
    , Peng Jiang
  27. Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion
    AAAI 2025 ·
    Cheng Wu
    ,
    Liang Su
    ,
    Chaokun Wang
    ,
    Shaoyun Shi
    ,
    Ziqian Zhang
    ,
    Ziyang Liu
    ,
    Wang Peng
    ,
    Wenjin Wu
    , Peng Jiang
  28. Music Grounding by Short Video
    ICCV 2025 ·
    Zijie Xin
    ,
    Minquan Wang
    ,
    Jingyu Liu
    ,
    Quan Chen
    ,
    Ye Ma
    , Peng Jiang,
    Xirong Li
  29. Optimal Return-to-Go Guided Decision Transformer for Auto-Bidding in Advertisement
    WWW 2025 ·
    Hao Jiang
    ,
    Yongxiang Tang
    ,
    Yanxiang Zeng
    ,
    Pengjia Yuan
    ,
    Yanhua Cheng
    ,
    Teng Sha
    ,
    Xialong Liu
    , Peng Jiang
  30. Optimizing Revenue through User Coupon Recommendations in Truthful Online Ad Auctions
    WWW 2025 ·
    Xiaodong Liu
    ,
    Xiao Lin
    ,
    Yiming Ding
    ,
    Changcheng Li
    , Peng Jiang,
    Weiran Shen
  31. Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads
    ICML 2025 ·
    Siqi Kou
    ,
    Jiachun Jin
    ,
    Zhihong Liu
    ,
    Chang Liu
    ,
    Ye Ma
    ,
    Jian Jia
    ,
    Quan Chen
    , Peng Jiang,
    Zhijie Deng
  32. Personalized Tree-Based Progressive Regression Model for Watch-Time Prediction in Short Video Recommendation
    CIKM 2025 ·
    Xiaokai Chen
    ,
    Xiao Lin
    ,
    Changcheng Li
    , Peng Jiang
  33. R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems
    RecSys 2025 ·
    Hao Gu
    ,
    Rui Zhong
    ,
    Yu Xia
    ,
    Wei Yang
    ,
    Chi Lu
    , Peng Jiang,
    Kun Gai
  34. Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems
    WWW 2025 ·
    Wenzheng Shu
    ,
    Yanxiang Zeng
    ,
    Yongxiang Tang
    ,
    Teng Sha
    ,
    Ning Luo
    ,
    Yanhua Cheng
    ,
    Xialong Liu
    ,
    Fan Zhou
    , Peng Jiang
  35. S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain
    WSDM 2025 ·
    Rui Xia
    ,
    Yanhua Cheng
    ,
    Yongxiang Tang
    ,
    Xiaocheng Liu
    ,
    Xialong Liu
    ,
    Lisong Wang
    , Peng Jiang
  36. Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
    NeurIPS 2025 ·
    Wei Yang
    ,
    Rui Zhong
    ,
    Yiqun Chen
    ,
    Chi Lu
    , Peng Jiang
  37. SweetTok: Semantic-Aware Spatial-Temporal Tokenizer for Compact Video Discretization
    ICCV 2025 ·
    Zhentao Tan
    ,
    Ben Xue
    ,
    Jian Jia
    ,
    Junhao Wang
    ,
    Wencai Ye
    ,
    Shaoyun Shi
    ,
    Mingjie Sun
    ,
    Wenjin Wu
    ,
    Quan Chen
    , Peng Jiang
  38. Discrete Conditional Diffusion for Reranking in Recommendation
    WWW 2024 ·
    Xiao Lin
    ,
    Xiaokai Chen
    ,
    Chenyang Wang
    ,
    Hantao Shu
    ,
    Linfeng Song
    ,
    Biao Li
    , Peng Jiang
  39. Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples
    WWW 2024 ·
    Xiaoxiao Xu
    ,
    Hao Wu
    ,
    Wenhui Yu
    ,
    Lantao Hu
    , Peng Jiang,
    Kun Gai
  40. Future Impact Decomposition in Request-level Recommendations
    SIGKDD 2024 ·
    Xiaobei Wang
    ,
    Shuchang Liu
    ,
    Xueliang Wang
    ,
    Qingpeng Cai
    ,
    Lantao Hu
    ,
    Han Li
    , Peng Jiang,
    Kun Gai
    ,
    Guangming Xie
  41. Intersectional Two-sided Fairness in Recommendation
    WWW 2024 ·
    Yifan Wang
    ,
    Peijie Sun
    ,
    Weizhi Ma
    ,
    Min Zhang
    ,
    Yuan Zhang
    , Peng Jiang,
    Shaoping Ma
  42. M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
    SIGIR 2024 ·
    Zijian Zhang
    ,
    Shuchang Liu
    ,
    Jiaao Yu
    ,
    Qingpeng Cai
    ,
    Xiangyu Zhao
    ,
    Chunxu Zhang
    ,
    Ziru Liu
    ,
    Qidong Liu
    ,
    Hongwei Zhao
    ,
    Lantao Hu
    , Peng Jiang,
    Kun Gai
  43. MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations
    RecSys 2024 ·
    Yuezihan Jiang
    ,
    Changyu Li
    ,
    Gaode Chen
    ,
    Peiyi Li
    ,
    Qi Zhang
    ,
    Jingjian Lin
    , Peng Jiang,
    Fei Sun
    ,
    Wentao Zhang
  44. Modeling User Fatigue for Sequential Recommendation
    SIGIR 2024 ·
    Nian Li
    ,
    Xin Ban
    ,
    Cheng Ling
    ,
    Chen Gao
    ,
    Lantao Hu
    , Peng Jiang,
    Kun Gai
    ,
    Yong Li
    ,
    Qingmin Liao
  45. Modeling User Retention through Generative Flow Networks
    SIGKDD 2024 ·
    Ziru Liu
    ,
    Shuchang Liu
    ,
    Bin Yang
    ,
    Zhenghai Xue
    ,
    Qingpeng Cai
    ,
    Xiangyu Zhao
    ,
    Zijian Zhang
    ,
    Lantao Hu
    ,
    Han Li
    , Peng Jiang
  46. Natural Language Explainable Recommendation with Robustness Enhancement
    SIGKDD 2024 ·
    Jingsen Zhang
    ,
    Jiakai Tang
    ,
    Xu Chen
    ,
    Wenhui Yu
    ,
    Lantao Hu
    , Peng Jiang,
    Han Li
  47. Prompt Tuning for Item Cold-start Recommendation
    RecSys 2024 ·
    Yuezihan Jiang
    ,
    Gaode Chen
    ,
    Wenhan Zhang
    ,
    Jingchi Wang
    ,
    Yinjie Jiang
    ,
    Qi Zhang
    ,
    Jingjian Lin
    , Peng Jiang,
    Kaigui Bian
  48. Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
    SIGIR 2024 ·
    Ziru Liu
    ,
    Shuchang Liu
    ,
    Zijian Zhang
    ,
    Qingpeng Cai
    ,
    Xiangyu Zhao
    ,
    Kesen Zhao
    ,
    Lantao Hu
    , Peng Jiang,
    Kun Gai
  49. Spatiotemporal Fine-grained Video Description for Short Videos
    ACM MM 2024 ·
    Te Yang
    ,
    Jian Jia
    ,
    Bo Wang
    ,
    Yanhua Cheng
    ,
    Yan Li
    ,
    Dongze Hao
    ,
    Xipeng Cao
    ,
    Quan Chen
    ,
    Han Li
    , Peng Jiang,
    Xiangyu Zhu
    ,
    Zhen Lei
  50. Spatiotemporal Graph Guided Multi-modal Network for Livestreaming Product Retrieval
    ACM MM 2024 ·
    Xiaowan Hu
    ,
    Yiyi Chen
    ,
    Yan Li
    ,
    Minquan Wang
    ,
    Haoqian Wang
    ,
    Quan Chen
    ,
    Han Li
    , Peng Jiang
  51. Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning
    SIGKDD 2024 ·
    Jiakai Tang
    ,
    Sunhao Dai
    ,
    Zexu Sun
    ,
    Xu Chen
    ,
    Jun Xu
    ,
    Wenhui Yu
    ,
    Lantao Hu
    , Peng Jiang,
    Han Li