Jiachen T. Wang

According to our database¹, Jiachen T. Wang authored at least 33 papers between 2022 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2025

Does More Inference-Time Compute Really Help Robustness?

[BibT_eX]

[DOI]

CoRR, July, 2025

Scaling Textual Gradients via Sampling-Based Momentum.

[BibT_eX]

[DOI]

CoRR, June, 2025

Effectively Controlling Reasoning Models through Thinking Intervention.

[BibT_eX]

[DOI]

CoRR, March, 2025

Capturing the Temporal Dependence of Training Data Influence.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Data Shapley in One Training Run.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

TokenShapley: Token Level Context Attribution with Shapley Value.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Data Valuation in the Absence of a Reliable Validation Set.

[BibT_eX]

[DOI]

Himanshu Jahagirdar

Jiachen T. Wang

Ruoxi Jia

Trans. Mach. Learn. Res., 2024

A Survey on Data Markets.

[BibT_eX]

[DOI]

Raul Castro Fernandez

CoRR, 2024

An Economic Solution to Copyright Challenges of Generative AI.

[BibT_eX]

[DOI]

CoRR, 2024

Language Models as Science Tutors.

[BibT_eX]

[DOI]

CoRR, 2024

GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Boosting Alignment for Post-Unlearning Text-to-Image Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Language Models as Science Tutors.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Privacy-Preserving In-Context Learning for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Efficient Data Shapley for Weighted Nearest Neighbor Algorithms.

[BibT_eX]

[DOI]

Jiachen T. Wang

Prateek Mittal

Ruoxi Jia

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

2023

One-Round Active Learning through Data Utility Learning and Proxy Models.

[BibT_eX]

[DOI]

Jiachen T. Wang

Si Chen

Ruoxi Jia

Trans. Mach. Learn. Res., 2023

Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation.

[BibT_eX]

[DOI]

CoRR, 2023

Differentially Private In-Context Learning.

[BibT_eX]

[DOI]

CoRR, 2023

LAVA: Data Valuation without Pre-Specified Learning Algorithms.

[BibT_eX]

[DOI]

CoRR, 2023

A Randomized Approach for Tight Privacy Accounting.

[BibT_eX]

[DOI]

CoRR, 2023

A Note on "Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms".

[BibT_eX]

[DOI]

Jiachen T. Wang

Ruoxi Jia

CoRR, 2023

A Note on "Towards Efficient Data Valuation Based on the Shapley Value".

[BibT_eX]

[DOI]

Jiachen T. Wang

Ruoxi Jia

CoRR, 2023

Towards A Proactive ML Approach for Detecting Backdoor Poison Samples.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

ModelPred: A Framework for Predicting Trained Model from Training Data.

[BibT_eX]

[DOI]

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

A Randomized Approach to Tight Privacy Accounting.

[BibT_eX]

[DOI]

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

A Privacy-Friendly Approach to Data Valuation.

[BibT_eX]

[DOI]

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

Uncovering Adversarial Risks of Test-Time Adaptation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Data Banzhaf: A Robust Data Valuation Framework for Machine Learning.

[BibT_eX]

[DOI]

Jiachen T. Wang

Ruoxi Jia

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning.

[BibT_eX]

[DOI]

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

Jiachen T. Wang

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...