Publications
You can also find my articles on my Google Scholar profile.
37 publications · 31 conference papers · 6 journal papers
* Equal contribution · ♢ Corresponding author
2026
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HGP: An on-device personalized agent memory via hybrid graph storage
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DR-Eval: Towards Realistic and Reproducible Deep Research Evaluation
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Mask-Proof: An LLM-based Automated Data Curation Pipeline on Mathematical Proofs
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Physics-Augmented Graph Transformer for Multi-step Time-Domain Maxwell’s Equations in Electromagnetic Scattering
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Siamese Foundation Models for Crystal Structure Prediction
2025
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LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning
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Advancing Graph Foundation Models: A Data-Centric Perspective
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STORM-BORN: A Challenging Mathematical Derivations Dataset Curated via a Human-in-the-Loop Multi-Agent Framework
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Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs
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G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
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Using LLMs for Node Generation in Few-shot Learning on Text-Attributed Graph
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GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation
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Physics-Data Hybrid Driven Edge-Featured Graph Attention Networks for Surface Currents Learning in EM Scattering of 3D PEC Targets
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Sculpting Molecules in Text-3D Space: A Flexible Substructure Aware Framework for Text-Oriented Molecular Optimization
2024
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Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models
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Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?
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Leveraging RAG-Enhanced Large Language Model for Semi-Supervised Log Anomaly Detection
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Fast Electromagnetic Scattering Calculation for UAV Targets Based on Graph Neural Networks
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LogRAG: Semi-Supervised Log-based Anomaly Detection with Retrieval-Augmented Generation
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CGCL: Collaborative Graph Contrastive Learning without Handcrafted Graph Data Augmentations
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Characterizing the Influence of Topology on Graph Learning Tasks
2023
2022
2021
- Label Contrastive Coding based Graph Neural Network for Graph Classification
- EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph
- Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention
- Ripple Walk: A sampling based Graph Neural Network Optimization Framework
- BGADAM: Boosting based Genetic-Evolutionary ADAM for Convolutional Neural Network Optimization
2020
- Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection
- Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition
- HDGI: An Unsupervised Graph Neural Network for Representation Learning in Heterogeneous Graph
- DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization
2019
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