Peng Jiang
Scholar

Peng Jiang

Google Scholar ID: 9o5swhQAAAAJ
Kuaishou Technology
Recommender SystemMachine LearningComputational 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
Contact
No contact links provided.
Publications
18 items
SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks
2026
Cited
0
Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation
2026
Cited
0
ProductWebGen: Benchmarking Multimodal Product Webpage Generation
2026
Cited
0
Reinforced Preference Optimization for Reasoning-Augmented Recommendations
2026
Cited
0
FBOS-RL: Feedback-Driven Bi-Objective Synergistic Reinforcement Learning
2026
Cited
0
CS3: Efficient Online Capability Synergy for Two-Tower Recommendation
2026
Cited
0
R&F-Inventory: A Large-Scale Dataset for Monotonic Inventory Estimation in Reach and Frequency Advertising
2026
Cited
0
AutoCut: End-to-end advertisement video editing based on multimodal discretization and controllable generation
2026
Cited
0
Resume (English only)
Co-authors
10 total
Kun Gai
Kun Gai
Senior Director & Researcher, Alibaba Group
Fei Sun
Fei Sun
Associate Professor, Institute of Computing Technology, CAS; Alibaba
Qingpeng Cai
Qingpeng Cai
Kuaishou Technology
ou wenwu
ou wenwu
Senior Director, Alibaba group
Co-author 5
Co-author 5
SHUCHANG LIU
SHUCHANG LIU
Applied Scientist at Kuaishou; PhD received in CS, Rutgers University
Xiangnan He
Xiangnan He
University of Science and Technology of China
Min Zhang
Min Zhang
Professor, Tsinghua University