Fan Yin

Orcid: 0000-0002-8028-2217

According to our database1, Fan Yin authored at least 38 papers between 2010 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Red Teaming Language Model Detectors with Language Models.
Trans. Assoc. Comput. Linguistics, 2024

Evaluating Human Alignment and Model Faithfulness of LLM Rationale.
CoRR, 2024

Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation.
CoRR, 2024

Self-Control of LLM Behaviors by Compressing Suffix Gradient into Prefix Controller.
CoRR, 2024

Enhancing Large Vision Language Models with Self-Training on Image Comprehension.
CoRR, 2024

Prompt-Driven LLM Safeguarding via Directed Representation Optimization.
CoRR, 2024

SAMS : One-Shot Learning for the Segment Anything Model Using Similar Images.
Proceedings of the International Joint Conference on Neural Networks, 2024

On Prompt-Driven Safeguarding for Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Contrastive Instruction Tuning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Analysis of Professional Basketball Field Goal Attempts via a Bayesian Matrix Clustering Approach.
J. Comput. Graph. Stat., January, 2023

Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations.
CoRR, 2023

Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Efficient Shapley Values Estimation by Amortization for Text Classification.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Achieving Practical Symmetric Searchable Encryption With Search Pattern Privacy Over Cloud.
IEEE Trans. Serv. Comput., 2022

Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud.
IEEE Trans. Big Data, 2022

Differentially private hierarchical tree with high efficiency.
Comput. Secur., 2022

A multi-value cellular automata model for multi-lane traffic flow under lagrange coordinate.
Comput. Math. Organ. Theory, 2022

Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations.
Proceedings of the International Conference on Machine Learning, 2022

ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

On the Sensitivity and Stability of Model Interpretations in NLP.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Highly Scalable Maximum Likelihood and Conjugate Bayesian Inference for ERGMs on Graph Sets with Equivalent Vertices.
CoRR, 2021

On the Faithfulness Measurements for Model Interpretations.
CoRR, 2021

Achieve efficient position-heap-based privacy-preserving substring-of-keyword query over cloud.
Comput. Secur., 2021

2020
Spatial Heterogeneity Can Lead to Substantial Local Variations in COVID-19 Timing and Severity.
CoRR, 2020

On the Robustness of Language Encoders against Grammatical Errors.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Automatic Acoustic Target Detecting and Tracking on the Azimuth Recording Diagram with Image Processing Methods.
Sensors, 2019

Achieving Efficient and Privacy-Preserving Multi-Keyword Conjunctive Query Over Cloud.
IEEE Access, 2019

Glyce: Glyph-vectors for Chinese Character Representations.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Weighted Multi-label Learning with Rank Preservation.
Proceedings of the Big Data - 7th CCF Conference, 2019

Entity-Relation Extraction as Multi-Turn Question Answering.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017
A Fine-Grained and Privacy-Preserving Query Scheme for Fog Computing-Enhanced Location-Based Service.
Sensors, 2017

2015
Efficient Hybriding Auto-scaling for OpenStack Platforms.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

2010
Behavior-based Attestation of Policy Enforcement among Trusted Virtual Domains.
J. Networks, 2010


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