Scholar
Peng Jiang
Google Scholar ID: 9o5swhQAAAAJ
Kuaishou Technology
Recommender System
Machine Learning
Computational Advertising
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Citations & Impact
All-time
Citations
5,457
H-index
28
i10-index
45
Publications
20
Co-authors
10
list available
Publications
38 items
Skill-V: Verifiable Self-Evolving Skill Library for Interactive Agents
2026
Cited
0
Dr. Free: You Don't Need Difficulty Rewards for Self-Evolving Search Agents
2026
Cited
0
OneBid: A Unified Auto-Bidding Foundation Model for Diverse oCPX Advertising Scenarios
2026
Cited
0
OneBid: A Unified Auto-Bidding Foundation Model for Diverse oCPX Advertising Scenarios
2026
Cited
0
AgentBrew: Offline Tool-Use Agent Learning from Raw Real-World Trajectories
2026
Cited
0
DMRL: Document-Mediated Reinforcement Learning for Skill Optimization in Advertising Recommendation
2026
Cited
0
HubMixer: Progressive Latent Hub Mixing for Parameter-Efficient Feature Interaction in Recommendation
2026
Cited
0
TAGR: Temporally Adaptive Generative Recommendation for Industrial Live-Streaming Advertising
2026
Cited
0
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Co-authors
9 total
Kun Gai
Senior Director & Researcher, Alibaba Group
Fei Sun
Associate Professor, Institute of Computing Technology, CAS; Alibaba
Qingpeng Cai
Kuaishou Technology
ou wenwu
Senior Director, Alibaba group
SHUCHANG LIU
Applied Scientist at Kuaishou; PhD received in CS, Rutgers University
Xiangnan He
University of Science and Technology of China
Min Zhang
Professor, Tsinghua University
Yi Zhang
Professor of Engineering, University of California, Santa Cruz