tzhao.io

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Tong Zhao | 赵通

 Generato il Febbraio 14 2026 21:16 PM

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Tong Zhao | 赵通

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Headings

H1 H2 H3 H4 H5 H6
1 5 2 0 0 0
  • [H1] Tong Zhao | 赵通
  • [H2] Research Interests
  • [H2] CV
  • [H2] RecentOutdated News
  • [H2] Publications
  • [H2] Honors and Awards
  • [H3] Preprints
  • [H3] Peer-reviewed Papers

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In-page links

Abbiamo trovato un totale di 101 links inclusi 68 link(s) a files

Anchor Type Juice
GitHub Externo Passing Juice
LinkedIn Externo Passing Juice
Google Scholar Externo Passing Juice
here Externo Passing Juice
Curriculum Vitae Interno Passing Juice
KDD 2025 Externo Passing Juice
Large-Scale Graph Neural Networks: the Past and New Frontiers Externo Passing Juice
KDD 2023 Externo Passing Juice
Augmentation Methods for Graph Learning Externo Passing Juice
SDM 2023 Externo Passing Juice
MLoG Workshop Externo Passing Juice
Mis2-TrueFact Workshop Externo Passing Juice
ShenLanXueYuan Externo Passing Juice
Graph Data Augmentation for Graph Machine Learning Externo Passing Juice
Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling Externo Passing Juice
MemRec: Collaborative Memory-Augmented Agentic Recommender System Externo Passing Juice
Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings Externo Passing Juice
Understanding Generative Recommendation with Semantic IDs from a Model-scaling View Externo Passing Juice
Beyond Unimodal Boundaries: Generative Recommendation with Multimodal Semantics Externo Passing Juice
Enhancing Item Tokenization for Generative Recommendation through Self-Improvement Externo Passing Juice
Retrieval-Augmented Generation with Graphs (GraphRAG) Externo Passing Juice
Breaking Information Cocoons: A Hyperbolic Graph-LLM Framework for Exploration and Exploitation in Recommender Systems Externo Passing Juice
Graph Transformers for Large Graphs Externo Passing Juice
Sequential Data Augmentation for Generative Recommendation Externo Passing Juice
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction Externo Passing Juice
A Pre-training Framework for Relational Data with Information-theoretic Principles Externo Passing Juice
Generative Recommendation with Semantic IDs: A Practitioner's Handbook Externo Passing Juice
SEESAW: Do Graph Neural Networks Improve Node Representation Learning for All? Externo Passing Juice
Node Duplication Improves Cold-start Link Prediction Externo Passing Juice
GiGL: Large-Scale Graph Neural Networks at Snapchat Externo Passing Juice
Revisiting Self-Attention for Cross-Domain Sequential Recommendation Externo Passing Juice
On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective Externo Passing Juice
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks Externo Passing Juice
Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat Externo Passing Juice
Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning Externo Passing Juice
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Externo Passing Juice
Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank Externo Passing Juice
Improving Out-of-Vocabulary Handling in Recommendation Systems Externo Passing Juice
Towards Neural Scaling Laws on Graphs Externo Passing Juice
How Does Message Passing Improve Collaborative Filtering? Externo Passing Juice
Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems Externo Passing Juice
Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion Externo Passing Juice
LLaGA: Large Language and Graph Assistant Externo Passing Juice
Graph Foundational Models Externo Passing Juice
Learning from Graphs Beyond Message Passing Nerual Networks Externo Passing Juice
Revisiting Link Prediction: a Data Perspective Externo Passing Juice
A Topological Perspective on Demystifying GNN-based Link Prediction Performance Externo Passing Juice
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation Externo Passing Juice
Data-Centric Learning from Unlabeled Graphs with Diffusion Model Externo Passing Juice
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? Externo Passing Juice
Semi-supervised Graph Imbalanced Regression Externo Passing Juice
CARL-G: Clustering-Accelerated Representation Learning on Graphs Externo Passing Juice
Linkless Link Prediction via Relational Distillation Externo Passing Juice
code Externo Passing Juice
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization Externo Passing Juice
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Externo Passing Juice
Empowering Graph Representation Learning with Test-Time Graph Transformation Externo Passing Juice
Link Prediction with Non-Contrastive Learning Externo Passing Juice
Graph Data Augmentation for Graph Machine Learning: A Survey Externo Passing Juice
reading list Externo Passing Juice
AutoGDA: Automated Graph Data Augmentation for Node Classification Externo Passing Juice
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering Externo Passing Juice
code Externo Passing Juice
Graph Rationalization with Environment-based Augmentations Externo Passing Juice
code Externo Passing Juice
Learning from Counterfactual Links for Link Prediction Externo Passing Juice
code Externo Passing Juice
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts Externo Passing Juice
code Externo Passing Juice
Deep Multimodal Complementarity Learning Externo Passing Juice
DOI Externo Passing Juice
Neural-PDE: A RNN based Neural Network for Solving Time Dependent PDEs Externo Passing Juice
DOI Externo Passing Juice
Dynamic Attributed Graph Prediction with Conditional Normalizing Flows Externo Passing Juice
Sentence-Permuted Paragraph Generation Externo Passing Juice
code Externo Passing Juice
Action Sequence Augmentation for Early Graph-based Anomaly Detection Externo Passing Juice
slides Interno Passing Juice
code Externo Passing Juice
A Unified View on Graph Neural Networks as Graph Signal Denoising Externo Passing Juice
Data Augmentation for Graph Neural Networks Externo Passing Juice
slides Interno Passing Juice
code Externo Passing Juice
Federated Dynamic Graph Neural Networks with Secure Aggregation for Video-based Distributed Surveillance Externo Passing Juice
DOI Externo Passing Juice
A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning Interno Passing Juice
DOI Externo Passing Juice
code & datasets Externo Passing Juice
Modeling Co-evolution of Attributed and Structural Information in Graph Sequence Externo Passing Juice
DOI Externo Passing Juice
Error-bounded Graph Anomaly Loss for GNNs Interno Passing Juice
slides Interno Passing Juice
Identifying Referential Intention with Heterogeneous Contexts Externo Passing Juice
Biomedical Knowledge Graphs Construction from Conditional Statements Externo Passing Juice
DOI Externo Passing Juice
CTGA: Graph-based Biomedical Literature Search Interno Passing Juice
Multi-input Multi-output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text Interno Passing Juice
The Role of ‘‘Condition’’: A Novel Scientific Knowledge Graph Representation and Construction Model Interno Passing Juice
Actionable Objective Optimization for Suspicious Behavior Detection on Large Bipartite Graphs Interno Passing Juice
slides Interno Passing Juice
jemdoc+MathJax Externo Passing Juice

SEO Keywords

Keywords Cloud

conference liu zhao shah graph jiang tong international neil learning

Consistenza Keywords

Keyword Contenuto Title Keywords Description Headings
zhao 73
tong 72
neil 48
shah 48
conference 45

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