Xingchen Wan

Orcid: 0000-0003-0074-0597

According to our database¹, Xingchen Wan authored at least 32 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2024

AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2024

Iterate Averaging in the Quest for Best Test Error.

[BibT_eX]

[DOI]

Diego Granziol

Nicholas P. Baskerville

Xingchen Wan

Samuel Albanie

Stephen Roberts

J. Mach. Learn. Res., 2024

Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

UQE: A Query Engine for Unstructured Databases.

[BibT_eX]

[DOI]

Phitchaya Mangpo Phothilimthana

Charles Sutton

Dale Schuurmans

CoRR, 2024

Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Bayesian Optimization of Functions over Node Subsets in Graphs.

[BibT_eX]

[DOI]

Huidong Liang

Xingchen Wan

Xiaowen Dong

CoRR, 2024

Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Working Memory Capacity of ChatGPT: An Empirical Study.

[BibT_eX]

[DOI]

Dongyu Gong

Xingchen Wan

Dingmin Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Bayesian Quadrature for Neural Ensemble Search.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Domain-Agnostic Batch Bayesian Optimization with Diverse Constraints via Bayesian Quadrature.

[BibT_eX]

[DOI]

CoRR, 2023

SimSC: A Simple Framework for Semantic Correspondence with Temperature Learning.

[BibT_eX]

[DOI]

Xinghui Li

Kai Han

Xingchen Wan

Victor Adrian Prisacariu

CoRR, 2023

Bayesian Optimisation of Functions on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Universal Self-Adaptive Prompting.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Better Zero-Shot Reasoning with Self-Adaptive Prompting.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Estimation of Reference Voltages for Time-Difference Electrical Impedance Tomography.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2022

Approximate Neural Architecture Search via Operation Distribution Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Redundancy and Diversity in Cell-based Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

BOiLS: Bayesian Optimisation for Logic Synthesis.

[BibT_eX]

[DOI]

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Bayesian Generational Population-Based Training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

Adversarial Attacks on Graph Classification via Bayesian Optimisation.

[BibT_eX]

[DOI]

CoRR, 2021

Adversarial Attacks on Graph Classifiers via Bayesian Optimisation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Explaining the Adaptive Generalisation Gap.

[BibT_eX]

[DOI]

CoRR, 2020

Sentiment Diffusion in Financial News Networks and Associated Market Movements.

[BibT_eX]

[DOI]

CoRR, 2020

Neural Architecture Search using Bayesian Optimisation with Weisfeiler-Lehman Kernel.

[BibT_eX]

[DOI]

CoRR, 2020

Iterate Averaging Helps: An Alternative Perspective in Deep Learning.

[BibT_eX]

[DOI]

Diego Granziol

Xingchen Wan

Stephen Roberts

CoRR, 2020

2019

MLRG Deep Curvature.

[BibT_eX]

[DOI]

CoRR, 2019

Xingchen Wan

Timeline

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