91 citations · 110 across the 6 of their papers we have counts for
6 papers
Overcoming Environmental Meta-Stationarity in MARL via Adaptive Curriculum and Counterfactual Group Advantage
Weiqiang Jin, Yang Liu, Shixiang Tang +5
Multi-agent reinforcement learning (MARL) has reached competitive performance on cooperative tasks against scripted adversaries, yet most methods train agents at a single fixed dif…
A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives
Weiqiang Jin, Hongyang Du, Shixiang Tang +2
With the rapid development of artificial intelligence, intelligent decision-making techniques have gradually surpassed human levels in various human-machine competitions, especiall…
Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions
Mengying Jiang, Guizhong Liu, Yuanchao Su +2
Most existing methods for predicting drug-drug interactions (DDI) predominantly concentrate on capturing the explicit relationships among drugs, overlooking the valuable implicit c…
Relation-aware graph structure embedding with co-contrastive learning for drug-drug interaction prediction
Mengying Jiang, Guizhong Liu, Biao Zhao +2
Relation-aware graph structure embedding is promising for predicting multi-relational drug-drug interactions (DDIs). Typically, most existing methods begin by constructing a multi-…
ChatAgri: Exploring Potentials of ChatGPT on Cross-linguistic Agricultural Text Classification
Biao Zhao, Weiqiang Jin, Javier Del Ser +1
In the era of sustainable smart agriculture, a massive amount of agricultural news text is being posted on the Internet, in which massive agricultural knowledge has been accumulate…
Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain Reasoning
Weiqiang Jin, Biao Zhao, Hang Yu +3
Knowledge Graph Question Answering (KGQA) aims to answer user-questions from a knowledge graph (KG) by identifying the reasoning relations between topic entity and answer. As a com…