111 citations · 801 across the 59 of their papers we have counts for
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cs.AI2023
Do as I can, not as I get
Shangfei Zheng, Hongzhi Yin, Tong Chen +3
This paper proposes a model called TMR to mine valuable information from simulated data environments. We intend to complete the submission of this paper.
cs.AI2023★ 2 cited
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning
Shangfei Zheng, Hongzhi Yin, Tong Chen +3
Temporal knowledge graphs (TKGs) model the temporal evolution of events and have recently attracted increasing attention. Since TKGs are intrinsically incomplete, it is necessary t…
cs.AI2021★ 45 cited
Learning to Ask Appropriate Questions in Conversational Recommendation
Xuhui Ren, Hongzhi Yin, Tong Chen +3
Conversational recommender systems (CRSs) have revolutionized the conventional recommendation paradigm by embracing dialogue agents to dynamically capture the fine-grained user pre…