Shaoliang Nie

Orcid: 0000-0002-5513-3439

According to our database1, Shaoliang Nie authored at least 26 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
AK-GPSR: An Adaptive K-Medoids-Based Greedy Perimeter Stateless Routing Algorithm for Multi-Channel Vehicular Network Communication.
IEEE Trans. Intell. Transp. Syst., November, 2024

An Improved and Efficient Computational Offloading Method Based on ADMM Strategy in Cloud-Edge Collaborative Computing Environment for Resilient Industry 5.0.
IEEE Trans. Consumer Electron., February, 2024

Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms.
CoRR, 2024

The Perfect Blend: Redefining RLHF with Mixture of Judges.
CoRR, 2024

M<sup>2</sup>PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.
CoRR, 2024

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
On the Equivalence of Graph Convolution and Mixup.
CoRR, 2023

COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Generating Hashtags for Short-form Videos with Guided Signals.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MUSTIE: Multimodal Structural Transformer for Web Information Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
FRAME: Evaluating Simulatability Metrics for Free-Text Rationales.
CoRR, 2022

ER-TEST: Evaluating Explanation Regularization Methods for NLP Models.
CoRR, 2022

BARACK: Partially Supervised Group Robustness With Guarantees.
CoRR, 2022

AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

UNIREX: A Unified Learning Framework for Language Model Rationale Extraction.
Proceedings of the International Conference on Machine Learning, 2022

ER-Test: Evaluating Explanation Regularization Methods for Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Modality-specific Distillation.
CoRR, 2021

Visual Analytics of Text Conversation Sentiment and Semantics.
Comput. Graph. Forum, 2021

MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2019
Rapid Sequence Matching for Visualization Recommender Systems.
Proceedings of the 45th Graphics Interface Conference 2019, 2019

Feature Selection for Facebook Feed Ranking System via a Group-Sparsity-Regularized Training Algorithm.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks.
CoRR, 2018

Visualizing Deep Neural Networks for Text Analytics.
Proceedings of the IEEE Pacific Visualization Symposium, 2018


  Loading...