Yi Liu

Orcid: 0000-0001-7710-4578

Affiliations:
  • Nanjing University, State Key Laboratory for Novel Software Technology, Nanjing, China


According to our database1, Yi Liu authored at least 20 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Answering the Unanswerable Is to Err Knowingly: Analyzing and Mitigating Abstention Failures in Large Reasoning Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Knowledge Enhancement and Temporal Aware for Multi-Behavior Contrastive Recommendation.
ACM Trans. Intell. Syst. Technol., October, 2025

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning.
CoRR, May, 2025

Knowledge Graph-Guided Retrieval Augmented Generation.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Unveiling the Impact of Multi-modal Content in Multi-modal Recommender Systems.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Avoiding Knowledge Edit Skipping in Multi-hop Question Answering with Guided Decomposition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Controllable Protein Sequence Generation with LLM Preference Optimization.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Multi-Aspect Controllable Text Generation with Disentangled Counterfactual Augmentation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Bi-knowledge views recommendation based on user-oriented contrastive learning.
J. Intell. Inf. Syst., October, 2023

Knowledge Enhancement for Multi-Behavior Contrastive Recommendation.
CoRR, 2023

Knowledge Enhancement for Contrastive Multi-Behavior Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Time-Aware Preference Recommendation Based on Behavior Sequence.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

Graph Convolution Synthetic Transformer for Chronic Kidney Disease Onset Prediction.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
GISDCN: A Graph-Based Interpolation Sequential Recommender with Deformable Convolutional Network.
Proceedings of the Database Systems for Advanced Applications, 2022

Graph-Based Sequential Interpolation Recommender for Cold-Start Users.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021
A Knowledge-Aware Recommender with Attention-Enhanced Dynamic Convolutional Network.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Multi-space Knowledge Enhanced Question Answering over Knowledge Graph.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020
A Survey on Blocking Technology of Entity Resolution.
J. Comput. Sci. Technol., 2020


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