Xing Xie

papers

970

total citations

papers (21)

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph

NEURIPS 2021arXiv

220

citations

CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents

ICML 2024arXiv

citations

Dynamic Evaluation of Large Language Models by Meta Probing Agents

ICML 2024arXiv

citations

FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning

NEURIPS 2022arXiv

citations

Sampling-Decomposable Generative Adversarial Recommender

NEURIPS 2020arXiv

citations

Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning

ICCV 2023arXiv

citations

The Good, The Bad, and Why: Unveiling Emotions in Generative AI

ICML 2024arXiv

citations

Self-explaining deep models with logic rule reasoning

NEURIPS 2022arXiv

citations

Towards Attack-tolerant Federated Learning via Critical Parameter Analysis

ICCV 2023arXiv

citations

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations

AAAI 2024arXiv

citations

Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models

ICLR 2024arXiv

citations

A General Framework for Learning from Weak Supervision

ICML 2024arXiv

citations

Model-enhanced Vector Index

NEURIPS 2023arXiv

citations

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking

NEURIPS 2023

citations

Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective

NEURIPS 2023

citations

Position: TrustLLM: Trustworthiness in Large Language Models

ICML 2024

citations

Bayesian Active Causal Discovery with Multi-Fidelity Experiments

NEURIPS 2023

citations

V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs

NEURIPS 2023

citations

Xing Xie

papers (21)

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph

A Neural Corpus Indexer for Document Retrieval

USB: A Unified Semi-supervised Learning Benchmark for Classification

FedX: Unsupervised Federated Learning with Cross Knowledge Distillation

CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents

Dynamic Evaluation of Large Language Models by Meta Probing Agents

FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning

Sampling-Decomposable Generative Adversarial Recommender

Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning

The Good, The Bad, and Why: Unveiling Emotions in Generative AI

Self-explaining deep models with logic rule reasoning

Towards Attack-tolerant Federated Learning via Critical Parameter Analysis

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations

Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models

A General Framework for Learning from Weak Supervision

Model-enhanced Vector Index

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking

Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective

Position: TrustLLM: Trustworthiness in Large Language Models

Bayesian Active Causal Discovery with Multi-Fidelity Experiments

V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs

papers (21)

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph

A Neural Corpus Indexer for Document Retrieval

USB: A Unified Semi-supervised Learning Benchmark for Classification

FedX: Unsupervised Federated Learning with Cross Knowledge Distillation

CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents

Dynamic Evaluation of Large Language Models by Meta Probing Agents

FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning

Sampling-Decomposable Generative Adversarial Recommender

Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning

The Good, The Bad, and Why: Unveiling Emotions in Generative AI

Self-explaining deep models with logic rule reasoning

Towards Attack-tolerant Federated Learning via Critical Parameter Analysis

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations

Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models

A General Framework for Learning from Weak Supervision

Model-enhanced Vector Index

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking

Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective

Position: TrustLLM: Trustworthiness in Large Language Models

Bayesian Active Causal Discovery with Multi-Fidelity Experiments

V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs