<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Publications |</title><link>https://aizxsong.github.io/publications/</link><atom:link href="https://aizxsong.github.io/publications/index.xml" rel="self" type="application/rss+xml"/><description>Publications</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 01 Jan 2027 00:00:00 +0000</lastBuildDate><image><url>https://aizxsong.github.io/media/icon.svg</url><title>Publications</title><link>https://aizxsong.github.io/publications/</link></image><item><title>Scalable Intelligence under Limited Supervision: Principles, Structures, and Adaptive Agents</title><link>https://aizxsong.github.io/publications/ijcai2026a/</link><pubDate>Sat, 01 Aug 2026 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/ijcai2026a/</guid><description/></item><item><title>PointNSP: Autoregressive 3D Point Cloud Generation with Next-Scale Level-of-Detail Prediction</title><link>https://aizxsong.github.io/publications/cvpr2026a/</link><pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/cvpr2026a/</guid><description/></item><item><title>Semi-supervised Instruction Tuning for Large Language Models on Text-Attributed Graphs</title><link>https://aizxsong.github.io/publications/www2026a/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/www2026a/</guid><description/></item><item><title>M2PG: MoE-based Adaptive Multi-Perspective Graph Fusion for Protein Representation Learning</title><link>https://aizxsong.github.io/publications/aaai2026a/</link><pubDate>Sun, 01 Feb 2026 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/aaai2026a/</guid><description/></item><item><title>Track and Tweak: Monitoring and Improving Group Fairness for Temporal Graph Neural Networks in Real Time</title><link>https://aizxsong.github.io/publications/kdd2025a/</link><pubDate>Fri, 15 Aug 2025 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/kdd2025a/</guid><description/></item><item><title>Domain-Adapted Diffusion Model for PROTAC Linker Design Through the Lens of Density Ratio in Chemical Space</title><link>https://aizxsong.github.io/publications/icml2025a/</link><pubDate>Tue, 15 Jul 2025 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/icml2025a/</guid><description/></item><item><title>Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification</title><link>https://aizxsong.github.io/publications/icml2025b/</link><pubDate>Tue, 15 Jul 2025 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/icml2025b/</guid><description/></item><item><title>FedEDM: Federated Equivariant Diffusion Model for 3D Molecule Generation with Enhanced Communication Efficiency</title><link>https://aizxsong.github.io/publications/www2025a/</link><pubDate>Thu, 01 May 2025 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/www2025a/</guid><description/></item><item><title>Context-aware Inductive Knowledge Graph Completion with Latent Type and Subgraph Reasoning</title><link>https://aizxsong.github.io/publications/aaai2025a/</link><pubDate>Sat, 01 Feb 2025 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/aaai2025a/</guid><description/></item><item><title>Geometric View of Soft Decorrelation in Self-Supervised Learning</title><link>https://aizxsong.github.io/publications/kdd2024a/</link><pubDate>Thu, 15 Aug 2024 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/kdd2024a/</guid><description/></item><item><title>A Systematic Survey on Federated Semi-supervised Learning</title><link>https://aizxsong.github.io/publications/ijcai2024a/</link><pubDate>Thu, 01 Aug 2024 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/ijcai2024a/</guid><description/></item><item><title>Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations</title><link>https://aizxsong.github.io/publications/ijcai2024b/</link><pubDate>Thu, 01 Aug 2024 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/ijcai2024b/</guid><description/></item><item><title>A Diffusion-based Pre-training Framework for Crystal Property Prediction</title><link>https://aizxsong.github.io/publications/aaai2024a/</link><pubDate>Thu, 01 Feb 2024 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/aaai2024a/</guid><description/></item><item><title>Tackling Long-tailed Distribution Issue in Graph Neural Networks via Normalization</title><link>https://aizxsong.github.io/publications/tkde2024a/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/tkde2024a/</guid><description/></item><item><title>Mitigating the Popularity Bias in Graph-based Collaborative Filtering</title><link>https://aizxsong.github.io/publications/neurips2023c/</link><pubDate>Fri, 01 Dec 2023 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/neurips2023c/</guid><description/></item><item><title>No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning</title><link>https://aizxsong.github.io/publications/neurips2023a/</link><pubDate>Fri, 01 Dec 2023 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/neurips2023a/</guid><description/></item><item><title>Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning</title><link>https://aizxsong.github.io/publications/neurips2023b/</link><pubDate>Fri, 01 Dec 2023 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/neurips2023b/</guid><description/></item><item><title>Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily</title><link>https://aizxsong.github.io/publications/neurips2023d/</link><pubDate>Fri, 01 Dec 2023 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/neurips2023d/</guid><description/></item><item><title>Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks</title><link>https://aizxsong.github.io/publications/cikm2023a/</link><pubDate>Sun, 01 Oct 2023 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/cikm2023a/</guid><description/></item><item><title>Contrastive Cross-scale Graph Knowledge Synergy</title><link>https://aizxsong.github.io/publications/kdd2023a/</link><pubDate>Tue, 15 Aug 2023 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/kdd2023a/</guid><description/></item><item><title>WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering</title><link>https://aizxsong.github.io/publications/sigir2023a/</link><pubDate>Sat, 01 Jul 2023 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/sigir2023a/</guid><description/></item><item><title>Graph Component Contrastive Learning for Concept Relatedness Estimation</title><link>https://aizxsong.github.io/publications/aaai2023a/</link><pubDate>Wed, 01 Feb 2023 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/aaai2023a/</guid><description/></item><item><title>SFA: Spectral Feature Augmentation for Graph Contrastive Learning</title><link>https://aizxsong.github.io/publications/aaai2023b/</link><pubDate>Wed, 01 Feb 2023 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/aaai2023b/</guid><description/></item><item><title>A Survey on Deep Semi-supervised Learning</title><link>https://aizxsong.github.io/publications/tkde2023a/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/tkde2023a/</guid><description/></item><item><title>Graph-based Semi-supervised Learning: A Comprehensive Review</title><link>https://aizxsong.github.io/publications/tnnls2023a/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/tnnls2023a/</guid><description/></item><item><title>COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning</title><link>https://aizxsong.github.io/publications/kdd2022b/</link><pubDate>Mon, 15 Aug 2022 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/kdd2022b/</guid><description/></item><item><title>Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification</title><link>https://aizxsong.github.io/publications/kdd2022a/</link><pubDate>Mon, 15 Aug 2022 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/kdd2022a/</guid><description/></item><item><title>Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization</title><link>https://aizxsong.github.io/publications/aaai2022a/</link><pubDate>Tue, 01 Feb 2022 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/aaai2022a/</guid><description/></item><item><title>Semi-supervised Multi-label Learning for Graph-structured Data</title><link>https://aizxsong.github.io/publications/cikm2021a/</link><pubDate>Fri, 01 Oct 2021 00:00:00 +0000</pubDate><guid>https://aizxsong.github.io/publications/cikm2021a/</guid><description/></item></channel></rss>