Fan Yang

Orcid: 0000-0003-3442-754X

Affiliations:

Wake Forest University, Department of Computer Science, Winston-Salem, NC, USA
Rice University, Houston, TX, USA (PhD 2023)
Texas A&M University, Department of Electrical and Computer Engineering, Networking and Information Systems Laboratory, College Station, TX, USA (former)
University of Electronic Science and Technology of China, School of Communication and Information Engineering, Chengdu, China (former)

According to our database¹, Fan Yang authored at least 51 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Explainability for Large Language Models: A Survey.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., April, 2024

Real-Time Localization and Bimodal Point Pattern Analysis of Palms Using UAV Imagery.

[BibT_eX]

[DOI]

CoRR, 2024

Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution.

[BibT_eX]

[DOI]

CoRR, 2024

ASGM-KG: Unveiling Alluvial Gold Mining Through Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Quantifying Multilingual Performance of Large Language Models Across Languages.

[BibT_eX]

[DOI]

CoRR, 2024

Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?

[BibT_eX]

[DOI]

CoRR, 2024

Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era.

[BibT_eX]

[DOI]

CoRR, 2024

Opening the Black Box of Large Language Models: Two Views on Holistic Interpretability.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Models As Faithful Explainers.

[BibT_eX]

[DOI]

CoRR, 2024

TVE: Learning Meta-attribution for Transferable Vision Explainer.

[BibT_eX]

[DOI]

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

Enhancing Explainable Rating Prediction through Annotated Macro Concepts.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Nowhere-zero flows on tensor products of signed graphs.

[BibT_eX]

[DOI]

Fan Yang

Chunyan Qin

Liangchen Li

Discret. Math., July, 2023

Did You Train on My Dataset? Towards Public Dataset Protection with CleanLabel Backdoor Watermarking.

[BibT_eX]

[DOI]

SIGKDD Explor., 2023

LETA: Learning Transferable Attribution for Generic Vision Explainer.

[BibT_eX]

[DOI]

CoRR, 2023

Interpretation of Time-Series Deep Models: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking.

[BibT_eX]

[DOI]

CoRR, 2023

Data-centric Artificial Intelligence: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Efficient XAI Techniques: A Taxonomic Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Adaptive Label Smoothing To Regularize Large-Scale Graph Training.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Data-centric AI: Perspectives and Challenges.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Data-centric AI: Techniques and Future Perspectives.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

CoRTX: Contrastive Framework for Real-time Explanation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research.

[BibT_eX]

[DOI]

Alfredo Costilla-Reyes

Kaixiong Zhou

Xiaoqian Jiang

Xia Hu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Defense Against Explanation Manipulation.

[BibT_eX]

[DOI]

Frontiers Big Data, 2022

Differentially Private Counterfactuals via Functional Mechanism.

[BibT_eX]

[DOI]

CoRR, 2022

Accelerating Shapley Explanation via Contributive Cooperator Selection.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Generalized Demographic Parity for Group Fairness.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

DEGREE: Decomposition Based Explanation for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation.

[BibT_eX]

[DOI]

SIGKDD Explor., 2021

Learning credible DNNs via incorporating prior knowledge and model local explanation.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2021

Fairness in Deep Learning: A Computational Perspective.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2021

Model-Based Counterfactual Synthesizer for Interpretation.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Machine Learning Explanations to Prevent Overtrust in Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

2020

Deep Neural Networks with Knowledge Instillation.

[BibT_eX]

[DOI]

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

XDeep: An Interpretation Tool for Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Score-CAM: Improved Visual Explanations Via Score-Weighted Class Activation Mapping.

[BibT_eX]

[DOI]

CoRR, 2019

Contextual Local Explanation for Black Box Classifiers.

[BibT_eX]

[DOI]

CoRR, 2019

Evaluating Explanation Without Ground Truth in Interpretable Machine Learning.

[BibT_eX]

[DOI]

Fan Yang

Mengnan Du

Xia Hu

CoRR, 2019

XFake: Explainable Fake News Detector with Visualizations.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

On Attribution of Recurrent Neural Network Predictions via Additive Decomposition.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Learning Credible Deep Neural Networks with Rationale Regularization.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Large-Scale Heterogeneous Feature Embedding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Towards Interpretation of Recommender Systems with Sorted Explanation Paths.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

2016

Energy-Efficient Resource Allocation for Multi-Radio Access in Dynamic and Heterogeneous Wireless Networks.

[BibT_eX]

[DOI]

Fan Yang

Qinghai Yang

Kyung Sup Kwak

IEICE Trans. Commun., 2016

2015

A QoE-based Joint Bandwidth and Power Allocation Method for Multiple RATs in HetNets.

[BibT_eX]

[DOI]

ICT Express, 2015

Dynamic resource allocation for energy-efficiency maximization in heterogeneous wireless networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Wireless Communications & Signal Processing, 2015

2014

A QoE-based resource allocation scheme for multi-radio access in heterogeneous wireless network.

[BibT_eX]

[DOI]

Proceedings of the 14th International Symposium on Communications and Information Technologies, 2014

Fan Yang

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...