Faculty

Institution

Unit

Venue

Yanjun Qi

Associate Professor Computer Science

University of Virginia

Affiliations

School of Engineering and Applied Science

Department of Computer Science

Yanjun Qi is currently serving as a Computer Science Associate Professor Computer Science at University of Virginia.

Honors

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Experiences

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Education

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Yanjun Qi

University of Virginia

Associate Professor Computer Science

You can click a keyword to filter the displayed items

data science machine learning computer science machine learning research deep learning natural language processing biomedical informatics bioinformatics computational biology molecular informatics knowledge discovery systems biology neural network (machine learning) computational linguistics adversarial machine learning computational intelligence semantic evaluation text mining protein science protein bioinformatics image representation interactomics molecular biology natural language generation genome biology proteome research nlp task biomedical data science semi-supervised learning multi-task learning information extraction virus research multimedia information processing machine vision attack model protein modeling sequence modelling feature learning physiological measurements biomedical text mining biomedical data analysis learning to rank movement analysis cluster computing convolutional neural networks cloud resource management data augmentation pathway analysis self-supervised learning biological networks ranking algorithms graph neural networks named-entity recognition protein interactions supervised learning word embeddings recurrent neural networks workload management video content analysis protein structure prediction cloud scheduling workload predictors inertial body sensors scalable joint estimator deep neural networks adversarial attacks complex dependencies histone modifications curriculum labeling protein complexes protein interaction graph word features deep learning models theoretical framework continuous control search space

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Closer Look at Adversarial Suffix Learning for Jailbreaking Llms: Augmented Adversarial Trigger Learning. arXiv (Cornell University) (2025)

computer sciencedeep learningadversarial machine learningdata securityneural network (machine learning)adversarial suffix learningmachine learning researchdata scienceattack modelcloser lookmachine learning

A Comprehensive Survey on Concept Erasure in Text-To-Image Diffusion Models. (2025)

diffusion-based modelingcontent representationcomprehensive surveymultimedia information processingmultimedia retrievaltext-to-image retrievaltext processingdata sciencenatural language processingapplied mathematicsmachine learning

AIDE: Attribute-Guided Multi-Hop Data Expansion for Data Scarcity in Task-Specific Fine-Tuning. (2025)

Jiayu LiJennifer ZhuFang LiuYanjun Qi

computer sciencelarge-scale datasetstask-specific fine-tuningdata optimizationintelligent computingdata modelingmachine learning researchdata sciencecomputational intelligencedata-intensive computingdata scarcityanalyticsmachine learning

Augmented Adversarial Trigger Learning. Findings of the Association for Computational Linguistics: NAACL 2022 (2025)

Zhe WangYanjun Qi

artificial intelligencecomputer sciencedeep learningadversarial machine learninggenerative adversarial networksrobot learningmachine learning researchcomputational intelligencedata sciencedata augmentationreinforcement learningadversarial trigger learningmachine learning

DFLOW: Diverse Dialogue Flow Simulation With Large Language Models.. Proceedings of the 1st Workshop for Research on Agent Language Models (REALM 2025) (2025)

spoken language technologydialogue managementlanguage resourcescomputational linguisticsnatural language processinglanguagespoken dialog systemlanguage modelslarge language models

Graph of Attacks With Pruning: Optimizing Stealthy Jailbreak Prompt Generation for Enhanced Llm Content Moderation. ArXiv.org (2025)

Schwartz, DanielBespalov, DmitriyWang, ZheKulkarni, NinadQi, Yanjun

computer sciencecomputer securityattack graph

Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy Generalization With Global and Adaptive Guidance. (2025)

Zhe WangHaozhu WangYanjun Qi

systems engineeringpolicy modelingdecision theoryfew-shot learningguidance systemadaptive guidanceautomated decision-making

Preference Optimization via Contrastive Divergence: Your Reward Model is Secretly an Nll Estimator. ArXiv.org (2025)

Chen, ZhuotongLiu, FangZhu, XuanQi, YanjunGhavamzadeh, Mohammad

computer sciencepreference optimizationnll estimatorcontrastive divergencereward modelreinforcement learningmachine learning

Proceedings of the 1St Workshop for Research on Agent Language Models (Realm 2025). Association for Computational Linguistics (2025)

agent-based systemlinguisticsnatural language generationagent architecturellm-based agentlanguage modelsagent communication languagesagent programming languagerealm 2025semantic evaluationknowledge representation and reasoningcomputational linguisticsagent language modelslanguagemultiagent systemsnatural language processingartificial society

Reward is Enough: Llms Are In-Context Reinforcement Learners. (2025)

artificial intelligencecomputer sciencellm-based agentreinforcement learninglearning analyticsin-context reinforcement learnerscomputational intelligencedeep reinforcement learninglanguage models

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Yanjun Qi

Associate Professor Computer Science

University of Virginia

Affiliations

School of Engineering and Applied Science

Department of Computer Science

Yanjun Qi is currently serving as a Computer Science Associate Professor Computer Science at University of Virginia.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Yanjun Qi

University of Virginia

Associate Professor Computer Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Closer Look at Adversarial Suffix Learning for Jailbreaking Llms: Augmented Adversarial Trigger Learning. arXiv (Cornell University) (2025)

A Comprehensive Survey on Concept Erasure in Text-To-Image Diffusion Models. (2025)

AIDE: Attribute-Guided Multi-Hop Data Expansion for Data Scarcity in Task-Specific Fine-Tuning. (2025)

Jiayu LiJennifer ZhuFang LiuYanjun Qi

Augmented Adversarial Trigger Learning. Findings of the Association for Computational Linguistics: NAACL 2022 (2025)

Zhe WangYanjun Qi

DFLOW: Diverse Dialogue Flow Simulation With Large Language Models.. Proceedings of the 1st Workshop for Research on Agent Language Models (REALM 2025) (2025)

spoken language technologydialogue managementlanguage resourcescomputational linguisticsnatural language processinglanguagespoken dialog systemlanguage modelslarge language models

Graph of Attacks With Pruning: Optimizing Stealthy Jailbreak Prompt Generation for Enhanced Llm Content Moderation. ArXiv.org (2025)

Schwartz, DanielBespalov, DmitriyWang, ZheKulkarni, NinadQi, Yanjun

computer sciencecomputer securityattack graph

Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy Generalization With Global and Adaptive Guidance. (2025)

Zhe WangHaozhu WangYanjun Qi

systems engineeringpolicy modelingdecision theoryfew-shot learningguidance systemadaptive guidanceautomated decision-making

Preference Optimization via Contrastive Divergence: Your Reward Model is Secretly an Nll Estimator. ArXiv.org (2025)

Chen, ZhuotongLiu, FangZhu, XuanQi, YanjunGhavamzadeh, Mohammad

computer sciencepreference optimizationnll estimatorcontrastive divergencereward modelreinforcement learningmachine learning

Proceedings of the 1St Workshop for Research on Agent Language Models (Realm 2025). Association for Computational Linguistics (2025)

Reward is Enough: Llms Are In-Context Reinforcement Learners. (2025)

artificial intelligencecomputer sciencellm-based agentreinforcement learninglearning analyticsin-context reinforcement learnerscomputational intelligencedeep reinforcement learninglanguage models

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data mining

machine learning

Cornelia Caragea

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language resource

multidisciplinary ai

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Institution

University of California, Los Angeles

ai architecture

intelligent computing

Yan Liu

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data science

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University of California, Los Angeles

big data

biomedical informatics

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computational linguistics

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University of Illinois Urbana-Champaign

intelligent analytics

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multidisciplinary ai

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