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Kun Gai — most-cited papers & profile · Large Language Models
← authors
·
overview
Kun Gai
40
papers ·
1149
citations ·
31
h-index
OriginWater (China) · Kuaishou (China)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Learning Tree-based Deep Model for Recommender Systems
2018 · 334 citations
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising
2018 · 209 citations
Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising
2018 · 84 citations
Multi-behavior Self-supervised Learning for Recommendation
2023 · 84 citations
M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
2024 · 68 citations
Multi-Task Recommendations with Reinforcement Learning
2023 · 57 citations
Multi-Task Recommendations with Reinforcement Learning
2023 · 57 citations
Exploration and Regularization of the Latent Action Space in Recommendation
2023 · 54 citations
TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou
2024 · 49 citations
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation
2023 · 45 citations
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation
2023 · 26 citations
Leanabell-Prover-V2: Verifier-integrated Reasoning for Formal Theorem Proving via Reinforcement Learning
2025 · 15 citations
AudioGen-Omni: A Unified Multimodal Diffusion Transformer for Video-Synchronized Audio, Speech, and Song Generation
2025 · 13 citations
Modeling User Fatigue for Sequential Recommendation
2024 · 12 citations
Future Impact Decomposition in Request-level Recommendations
2024 · 11 citations
Top co-authors
Guanbin Li
· 1
Guangrun Wang
· 1
Huan Yuan
· 1
Renjie Liu
· 1
Weizhi Zhong
· 1
Yihao Wang
· 1
Zijian He
· 1
Topics
Ranking & CTR
Sequential & Session
Collaborative Filtering
Policy Gradient
Two-Tower & Retrieval
LLM-based
Multi-Agent
Value-Based
Model-Based RL
RLHF & Alignment