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Peng Jiang — most-cited papers & profile · Graph Learning
← authors
·
overview
Peng Jiang
25
papers ·
364
citations ·
6
h-index
University of Iowa · State Grid Corporation of China (China) · Dongguan People’s Hospital · Kuaishou (China) · University of Science and Technology Beijing
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Semantic Scholar ↗
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Most-cited papers
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
Generative Flow Network for Listwise Recommendation
2023 · 43 citations
Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning
2024 · 21 citations
DAS: Dual-Aligned Semantic IDs Empowered Industrial Recommender System
2025 · 16 citations
Modeling User Retention through Generative Flow Networks
2024 · 13 citations
Modeling User Fatigue for Sequential Recommendation
2024 · 12 citations
Future Impact Decomposition in Request-level Recommendations
2024 · 11 citations
TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation
2025 · 8 citations
Future-Conditioned Recommendations with Multi-Objective Controllable Decision Transformer
2025 · 4 citations
Knowledge-Aware Prompt-Tuning for Integrated Conversational Recommender System
2026
ReST: A Plug-and-Play Spatially-Constrained Representation Enhancement Framework for Local-Life Recommendation
2025
TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation
2025
Top co-authors
Fei Pan
· 1
Hao Jiang
· 1
Jian Liang
· 1
Kuo Cai
· 1
Mengting Li
· 1
Peiru Du
· 1
Pengfei Yao
· 1
Qiang Luo
· 1
Ruiming Tang
· 1
Sheng Yu
· 1
Siyuan Lou
· 1
Wenwu Ou
· 1
Topics
Collaborative Filtering
Ranking & CTR
Sequential & Session
LLM-based
Cold Start & Cross-Domain
Graph-based
Value-Based
Two-Tower & Retrieval
Safety & Alignment
Reinforcement Learning