Xiaoxin He

7 papers · 2023–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird

Venues

ICML (4) ACL (1) ICLR (1) NeurIPS (1)

Top co-authors

Bryan Hooi (5) Xavier Bresson (4) Thomas Laurent (4) Yann LeCun (3) Adam Perold (2) Nian Liu (2) Yufei He (1) Yue Liu (1) Xin Jiang (1) Xiaozhe Ren (1)

Research topics

Artificial Intelligence (5) Core AI (5) Deep Learning (4) Machine Learning (4) Architectures (4) Core Methods (3) Natural Language Processing (2) Applications (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (1) Models (1)

Keywords

large language model (3) graph neural network (3) question answering (2) graph representation (1) knowledge graph reasoning (1) message passing (1) knowledge graph (1) graph transformer (1) node classification (1) graph convolution (1) retrieval-augmented generation (1) training objective (1) masked autoencoder (1) zero-shot classification (1) beam search (1) text-attributed graph (1) long-range dependency (1) chebyshev polynomial (1) textual graph (1) transformer configuration (1)

Papers

A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition ICML 2025 FiDeLiS: Faithful Reasoning in Large Language Models for Knowledge Graph Question Answering ACL 2025 FlipAttack: Jailbreak LLMs via Flipping ICML 2025 G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering NeurIPS 2024 Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning ICLR 2024 A Generalization of ViT/MLP-Mixer to Graphs ICML 2023 A Study on Transformer Configuration and Training Objective ICML 2023