Ruixiang Tang

Orcid: 0000-0001-6476-2336

Affiliations:

Rutgers University, Piscataway, NJ, USA

According to our database¹, Ruixiang Tang authored at least 59 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning.

[BibT_eX]

[DOI]

CoRR, August, 2025

A Semantic Segmentation Algorithm for Pleural Effusion Based on DBIF-AUNet.

[BibT_eX]

[DOI]

CoRR, August, 2025

DCFFSNet: Deep Connectivity Feature Fusion Separation Network for Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, July, 2025

A Multi-granularity Concept Sparse Activation and Hierarchical Knowledge Graph Fusion Framework for Rare Disease Diagnosis.

[BibT_eX]

[DOI]

CoRR, July, 2025

DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models.

[BibT_eX]

[DOI]

SIGKDD Explor., June, 2025

TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configuration.

[BibT_eX]

[DOI]

CoRR, May, 2025

CAMA: Enhancing Multimodal In-Context Learning with Context-Aware Modulated Attention.

[BibT_eX]

[DOI]

CoRR, May, 2025

M2IV: Towards Efficient and Fine-grained Multimodal In-Context Learning in Large Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, April, 2025

EAZY: Eliminating Hallucinations in LVLMs by Zeroing out Hallucinatory Image Tokens.

[BibT_eX]

[DOI]

CoRR, March, 2025

Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, February, 2025

Can Large Vision-Language Models Detect Images Copyright Infringement from GenAI?

[BibT_eX]

[DOI]

CoRR, February, 2025

Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding.

[BibT_eX]

[DOI]

CoRR, February, 2025

Survey and Improvement Strategies for Gene Prioritization with Large Language Models.

[BibT_eX]

[DOI]

CoRR, January, 2025

Decoding Knowledge in Large Language Models: A Framework for Categorization and Comprehension.

[BibT_eX]

[DOI]

Yanbo Fang

Ruixiang Tang

CoRR, January, 2025

Re-Imagining Multimodal Instruction Tuning: A Representation View.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Disentangling Memory and Reasoning Ability in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, July, 2024

The Science of Detecting LLM-Generated Text.

[BibT_eX]

[DOI]

Ruixiang Tang

Yu-Neng Chuang

Xia Hu

Commun. ACM, April, 2024

SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2024

Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics.

[BibT_eX]

[DOI]

CoRR, 2024

Assessing and Enhancing Large Language Models in Rare Disease Question-answering.

[BibT_eX]

[DOI]

CoRR, 2024

Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem.

[BibT_eX]

[DOI]

Hongyi Liu

Shaochen (Henry) Zhong

CoRR, 2024

Large Language Models As Faithful Explainers.

[BibT_eX]

[DOI]

CoRR, 2024

Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion.

[BibT_eX]

[DOI]

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

TrustAgent: Towards Safe and Trustworthy LLM-based Agents.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

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

[BibT_eX]

[DOI]

SIGKDD Explor., 2023

A Comparative Study of Structural Deformation Test Based on Edge Detection and Digital Image Correlation.

[BibT_eX]

[DOI]

Sensors, 2023

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond.

[BibT_eX]

[DOI]

CoRR, 2023

LLM for Patient-Trial Matching: Privacy-Aware Data Augmentation Towards Better Performance and Generalizability.

[BibT_eX]

[DOI]

CoRR, 2023

SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization.

[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

The Science of Detecting LLM-Generated Texts.

[BibT_eX]

[DOI]

Ruixiang Tang

Yu-Neng Chuang

Xia Hu

CoRR, 2023

Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

[BibT_eX]

[DOI]

CoRR, 2023

Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection.

[BibT_eX]

[DOI]

Ruixiang Tang

Mengnan Du

Xia Hu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots.

[BibT_eX]

[DOI]

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

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model.

[BibT_eX]

[DOI]

Zhimeng Stephen Jiang

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

PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks.

[BibT_eX]

[DOI]

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

Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks.

[BibT_eX]

[DOI]

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

Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning.

[BibT_eX]

[DOI]

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

2022

Understanding Social Biases Behind Location Names in Contextual Word Embedding Models.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., 2022

Defense Against Explanation Manipulation.

[BibT_eX]

[DOI]

Frontiers Big Data, 2022

Mitigating Relational Bias on Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

DEGREE: Decomposition Based Explanation for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2022, 2022

Towards Debiasing DNN Models from Spurious Feature Influence.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Mitigating Gender Bias in Captioning Systems.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Fairness via Representation Neutralization.

[BibT_eX]

[DOI]

Ahmed Hassan Awadallah

Xia Ben Hu

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

2020

Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection.

[BibT_eX]

[DOI]

Ruixiang Tang

Mengnan Du

Xia Hu

CoRR, 2020

Mitigating Gender Bias in Captioning Systems.

[BibT_eX]

[DOI]

CoRR, 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

Deep Feature Disentanglement Learning for Bone Suppression in Chest Radiographs.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Breast Mass Detection in Mammograms via Blending Adversarial Learning.

[BibT_eX]

[DOI]

Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

Classification of chest CT using case-level weak supervision.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Ruixiang Tang

Timeline

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