Qiushi Sun

Orcid: 0000-0002-6932-1596

According to our database1, Qiushi Sun authored at least 31 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Resource allocation in heterogeneous network with node and edge enhanced graph attention network.
Appl. Intell., March, 2024

Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models.
CoRR, 2024

A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond.
CoRR, 2024

KS-Lottery: Finding Certified Lottery Tickets for Multilingual Language Models.
CoRR, 2024

Rethinking the Role of Structural Information: How It Enhances Code Representation Learning?
Proceedings of the International Joint Conference on Neural Networks, 2024

Explicit Memory Learning with Expectation Maximization.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Structure-aware Fine-tuning for Code Pre-trained Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration.
CoRR, 2023

Exchanging-based Multimodal Fusion with Transformer.
CoRR, 2023

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting.
CoRR, 2023

Resource Allocation in Heterogeneous Network with Supervised GNNs.
Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023

ShapTime: A General XAI Approach for Explainable Time Series Forecasting.
Proceedings of the Intelligent Systems and Applications, 2023

Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

HugNLP: A Unified and Comprehensive Library for Natural Language Processing.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Do Large Language Models Know What They Don't Know?
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Face image synthesis from facial parts.
EURASIP J. Image Video Process., 2022

PattGAN: Pluralistic Facial Attribute Editing.
IEEE Access, 2022

CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2019
MMIR: a microscopic mechanism for street selection based on intersection records in urban VANET routing.
EURASIP J. Wirel. Commun. Netw., 2019


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