2025
Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective.
CoRR, February, 2025

Boosting Graph Robustness Against Backdoor Attacks: An Over-Similarity Perspective.
CoRR, February, 2025

2024
Multi-Turn Generation-Based Conversational Agents in Open Domains.
PhD thesis, 2024

Graph Fairness Learning under Distribution Shifts.
Proceedings of the ACM on Web Conference 2024, 2024

Less is More: on the Over-Globalizing Problem in Graph Transformers.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learned B-Spline Parametrization of Lattice Focal Coding for Monocular RGBD Imaging.
Proceedings of the IEEE International Conference on Computational Photography, 2024

NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Prompt and Instruction-Based Tuning for Response Generation in Conversational Question Answering.
Proceedings of the Natural Language Processing and Information Systems, 2023

Improving Context-Awareness on Multi-Turn Dialogue Modeling with Extractive Summarization Techniques.
Proceedings of the Natural Language Processing and Information Systems, 2023

2022
Evaluating and Improving Context Attention Distribution on Multi-Turn Response Generation using Self-Contained Distractions.
CoRR, 2022

Balancing Multi-Domain Corpora Learning for Open-Domain Response Generation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2020
An Educational News Dataset for Recommender Systems.
Proceedings of the ECML PKDD 2020 Workshops, 2020

2018
Automatic Evaluation of Neural Personality-based Chatbots.
Proceedings of the 11th International Conference on Natural Language Generation, 2018