Shuqi Liu

Orcid: 0000-0002-3479-000X

Affiliations:
  • City University of Hong Kong, Shenzhen Research Institute, Shenzhen, China
  • City University of Hong Kong, Department of Computer Science, Hong Kong


According to our database1, Shuqi Liu authored at least 14 papers between 2021 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
Activation-Guided Consensus Merging for Large Language Models.
CoRR, May, 2025

Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging.
CoRR, March, 2025

1bit-Merging: Dynamic Quantized Merging for Large Language Models.
CoRR, February, 2025

OPTISHEAR: Towards Efficient and Adaptive Pruning of Large Language Models via Evolutionary Optimization.
CoRR, February, 2025

Towards Improving Interpretability of Language Model Generation Through a Structured Knowledge Discovery Approach.
IEEE J. Sel. Top. Signal Process., January, 2025

Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Achieving privacy-preserving cross-silo anomaly detection using federated XGBoost.
J. Frankl. Inst., June, 2023

2022
Recent advances in biometrics-based user authentication for wearable devices: A contemporary survey.
Digit. Signal Process., 2022

Designing an Educational Chatbot with Joint Intent Classification and Slot Filling.
Proceedings of the IEEE International Conference on Teaching, 2022

An NLP-Empowered Virtual Course Assistant for Online Teaching and Learning.
Proceedings of the IEEE International Conference on Teaching, 2022

Zero-shot Cross-lingual Conversational Semantic Role Labeling.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Predicting Downside in Stock Market Using Knowledge and News Data.
Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021


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