Junqi Jiang

According to our database, Junqi Jiang authored at least 14 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Representation Consistency for Accurate and Coherent LLM Answer Aggregation.

Junqi Jiang, Tom Bewley, Salim I. Amoukou, Francesco Leofante, Antonio Rago, Saumitra Mishra, Francesca Toni

CoRR, June, 2025

Argumentative Ensembling for Robust Recourse under Model Multiplicity.

Junqi Jiang, Antonio Rago, Francesco Leofante, Francesca Toni

CoRR, June, 2025

RobustX: Robust Counterfactual Explanations Made Easy.

Junqi Jiang, Luca Marzari, Aaryan Purohit, Francesco Leofante

CoRR, February, 2025

Heterogeneous graph neural networks with post-hoc explanations for multi-modal and explainable land use inference.

Xuehao Zhai, Junqi Jiang, Adam Dejl, Antonio Rago, Fangce Guo, Francesca Toni, Aruna Sivakumar

Inf. Fusion, 2025

Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy.

Jamie Todd, Junqi Jiang, Aaron Russo, Steffen Winkler, Stuart Sale, Joseph McMillan, Antonio Rago

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

Explainable Reinforcement Learning for Formula One Race Strategy.

Devin Thomas, Junqi Jiang, Avinash Kori, Aaron Russo, Steffen Winkler, Stuart Sale, Joseph McMillan, Francesco Belardinelli, Antonio Rago

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

Interpreting Language Reward Models via Contrastive Explanations.

Junqi Jiang, Tom Bewley, Saumitra Mishra, Freddy Lécué, Manuela Veloso

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Interval abstractions for robust counterfactual explanations.

Junqi Jiang, Francesco Leofante, Antonio Rago, Francesca Toni

Artif. Intell., 2024

Contestable AI Needs Computational Argumentation.

Francesco Leofante, Hamed Ayoobi, Adam Dejl, Gabriel Freedman, Deniz Gorur, Junqi Jiang, Guilherme Paulino-Passos, Antonio Rago, Anna Rapberger, Fabrizio Russo, Xiang Yin, Dekai Zhang, Francesca Toni

Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, 2024

Robust Counterfactual Explanations in Machine Learning: A Survey.

Junqi Jiang, Francesco Leofante, Antonio Rago, Francesca Toni

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Recourse under Model Multiplicity via Argumentative Ensembling.

Junqi Jiang, Francesco Leofante, Antonio Rago, Francesca Toni

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Recourse under Model Multiplicity via Argumentative Ensembling (Technical Report).

Junqi Jiang, Antonio Rago, Francesco Leofante, Francesca Toni

CoRR, 2023

Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation.

Junqi Jiang, Jianglin Lan, Francesco Leofante, Antonio Rago, Francesca Toni

Proceedings of the Asian Conference on Machine Learning, 2023

Formalising the Robustness of Counterfactual Explanations for Neural Networks.

Junqi Jiang, Francesco Leofante, Antonio Rago, Francesca Toni

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023