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Kun Gai
67 papers at tracked venues · 48 at CORE A* · active 2024–2026
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ORCID 0000-0002-3636-3618 ↗
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WWW
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SIGIR
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ACL
×7
CIKM
×6
AAAI
×5
WSDM
×5
NeurIPS
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RecSys
×4
EMNLP
×3
ICLR
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ICML
×3
SIGKDD
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ICCV
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ACM MM
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CVPR
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NAACL
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Frequent coauthors
Gaode Chen
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Zhenpeng Su
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Yijia Sun
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Hao Jiang
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Yunli Wang
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Jiao Ou
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Guanyu Lin
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Yang Jin
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Liang Hou
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Wei Cheng
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Hongzhi Zhang
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Xiangyang Luo
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Papers
Boosting Resolution Generalization of Diffusion Transformers with Randomized Positional Encodings
AAAI 2026
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Liang Hou
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CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning
ACL 2026
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Zhenpeng Su
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ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling
WSDM 2026
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Wei Cheng
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DeepSynth-Eval: Objectively Evaluating Information Consolidation in Deep Survey Writing
ACL 2026
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Hongzhi Zhang
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Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning
ACL 2026
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Zhenpeng Su
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FilmWeaver: Weaving Consistent Multi-Shot Videos with Cache-Guided Autoregressive Diffusion
AAAI 2026
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Xiangyang Luo
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GRank: Towards Target-Aware and Streamlined Industrial Retrieval with a Generate-Rank Framework
WWW 2026
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Yijia Sun
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LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation
AAAI 2026
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Hao Jiang
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OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service
WSDM 2026
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Zhipeng Wei
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OneRec-Think: In-Text Reasoning for Generative Recommendation
ACL 2026
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Zhanyu Liu
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PushGen: Push Notifications Generation with LLM
WSDM 2026
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Shifu Bie
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Toward Generalized Web Agent Training: A Deep Dive into Entropy-Balanced Reinforcement Learning
WWW 2026
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Guanting Dong
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Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce
WWW 2026
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Zhiding Liu
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Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Recommendation
SIGIR 2026
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Na Li
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Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers
ACL 2026
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Zhiyang Zhang
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A Cold-start Recommendation System at Kuaishou Designed from the Short-video Perspective
WWW 2025
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Gaode Chen
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AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
WWW 2025
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Zhenghai Xue
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Comprehensive List Generation for Multi-Generator Reranking
SIGIR 2025
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Hailan Yang
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Creator-Side Recommender System: Challenges, Designs, and Applications
WWW 2025
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Xiaoshuang Chen
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DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs
EMNLP 2025
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Minxuan Lv
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Enhancing Online Video Recommendation via a Coarse-to-fine Dynamic Uplift Modeling Framework
RecSys 2025
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Chang Meng
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FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation
SIGIR 2025
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Guoquan Wang
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Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation
NeurIPS 2025
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Guoqing Hu
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FullDiT: Video Generative Foundation Models with Multimodal Control via Full Attention
ICCV 2025
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Xuan Ju
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Generative Auto-Bidding with Value-Guided Explorations
SIGIR 2025
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Jingtong Gao
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Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering
AAAI 2025
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Hao Jiang
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Hierarchical Sequence ID Representation of Large Language Models for Large-scale Recommendation Systems
WWW 2025
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Rui Zhao
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Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model
SIGIR 2025
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Yu Xia
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HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou
SIGKDD 2025
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Xu Wang
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Imbalance in Balance: Online Concept Balancing in Generation Models
ICCV 2025
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Yukai Shi
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Improving Video Generation with Human Feedback
NeurIPS 2025
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Jie Liu
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LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
AAAI 2025
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Jian Jia
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Learning Cascade Ranking as One Network
ICML 2025
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Yunli Wang
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Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains
ICML 2025
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Zhuo He
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MISS: Multi-Modal Tree Indexing and Searching with Lifelong Sequential Behavior for Retrieval Recommendation
CIKM 2025
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Chengcheng Guo
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MPFormer: Adaptive Framework for Industrial Multi-Task Personalized Sequential Retriever
CIKM 2025
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Yijia Sun
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Making Transformer Decoders Better Differentiable Indexers
ICLR 2025
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Wuchao Li
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Pantheon: Personalized Multi-objective Ensemble Sort via Iterative Pareto Policy Optimization
CIKM 2025
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Jiangxia Cao
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R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems
RecSys 2025
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Hao Gu
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RecFlow: An Industrial Full Flow Recommendation Dataset
ICLR 2025
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Qi Liu
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Towards Precise Scaling Laws for Video Diffusion Transformers
CVPR 2025
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Yuanyang Yin
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VLM as Policy: Common-Law Content Moderation Framework for Short Video Platform
SIGKDD 2025
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Xingyu Lu
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Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation
NeurIPS 2025
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Qing Yu
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A Multi-modal Modeling Framework for Cold-start Short-video Recommendation
RecSys 2024
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Gaode Chen
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A Self-Adaptive Fairness Constraint Framework for Industrial Recommender System
CIKM 2024
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Zhiqiang Liu
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Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems
WWW 2024
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Yunli Wang
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DialogBench: Evaluating LLMs as Human-like Dialogue Systems
NAACL 2024
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Jiao Ou
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Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples
WWW 2024
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Xiaoxiao Xu
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Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework
WWW 2024
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Cheng Wu
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Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems
WWW 2024
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Kai Zheng
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Future Impact Decomposition in Request-level Recommendations
SIGKDD 2024
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Xiaobei Wang
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Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues
EMNLP 2024
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Jiao Ou
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Inverse Learning with Extremely Sparse Feedback for Recommendation
WSDM 2024
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Guanyu Lin
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Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios
ACL 2024
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Lei Lin
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M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
SIGIR 2024
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Zijian Zhang
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Missing Interest Modeling with Lifelong User Behavior Data for Retrieval Recommendation
CIKM 2024
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Gaode Chen
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Mixed Attention Network for Cross-domain Sequential Recommendation
WSDM 2024
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Guanyu Lin
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Modeling User Fatigue for Sequential Recommendation
SIGIR 2024
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Nian Li
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Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models
ACL 2024
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Yuchong Sun
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RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems
RecSys 2024
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Shuo Su
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RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
NeurIPS 2024
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Zhicheng Sun
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Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
SIGIR 2024
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Ziru Liu
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Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector
EMNLP 2024
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Xiaoxue Cheng
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TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou
CIKM 2024
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Zihua Si
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Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation
ACM MM 2024
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Yuting Zhang
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Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization
ICLR 2024
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Yang Jin
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Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization
ICML 2024
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Yang Jin
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