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Lu Cheng

University of Chicago

United States

Research Interests

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Articles (23)

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Collaborators (9)

HAOCHANG HAO

University of Illinois Chicago (UIC)

UNITED STATES

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Weiru Liu

Academic , Professor

University of Bristol

UNITED KINGDOM

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Wei Jin

Assistant Professor

Emory University

UNITED STATES

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Nitesh Chawla

University of Notre Dame

UNITED STATES

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Xiangliang Zhang

Associate Professor

University of Notre Dame

UNITED STATES

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Yasin Silva

Associate Professor and Professor

Loyola University Chicago

UNITED STATES

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Raha Moraffah

Assistant Professor

Worcester Polytechnic Institute

UNITED STATES

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Deborah Hall

Professor

Arizona State University - West Campus

UNITED STATES

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Dung Le

Assistant Professor

VinUniversity

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Lu Cheng

Research Interests

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Articles (23)

SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems

Graph-augmented LLMs for social media-based clinical trial recruitment

Temporal Graph Prototype-conditioned Conformal Prediction for Fraud Detection

The Confidence Trap: Calibration Attacks for Graph Neural Networks

Causal Discovery for Biology: From Molecular to Disease Networks

Interpretable named entity recognition via integrating logical rule learning with deep neural networks

Conformal Prediction: A Data Perspective

Socially Responsible and Trustworthy Generative Foundation Models: Principles, Challenges, and Practices

From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge

Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability

SciSoc LLM Workshop: Large Language Models for Scientific and Societal Advances

Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs

Deconstructing the ethics of large language models from long-standing issues to new-emerging dilemmas: A survey

Evaluating LLMs Capabilities Towards Understanding Social Dynamics

FABLE: Fairness Attack in Abusive Language Detection

Overcoming pitfalls in graph contrastive learning evaluation: Toward comprehensive benchmarks

Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective

Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs

Causal Disentanglement for Implicit Recommendations with Network Information

Evaluation Methods and Measures for Causal Learning Algorithms

Learning Shared Mobility-Aware Knowledge for Multiple Urban Travel Demands

Modeling Temporal Patterns of Cyberbullying Detection with Hierarchical Attention Networks

Session-Based Cyberbullying Detection: Problems and Challenges

Collaborators (9)

HAOCHANG HAO

Weiru Liu

Wei Jin

Nitesh Chawla

Xiangliang Zhang

Yasin Silva

Raha Moraffah

Deborah Hall

Dung Le

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