tzhao.io

Website beoordeling tzhao.io

Tong Zhao | 赵通

 Gegenereerd op Februari 14 2026 21:16 PM

Oude statistieken? UPDATE !

De score is 51/100

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Title

Tong Zhao | 赵通

Lengte : 14

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Lengte : 0

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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

We vonden een totaal van 101 links inclusie 68 link(s) naar bestanden

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

SEO Keywords

Keywords Cloud

learning international conference shah neil liu zhao tong graph jiang

Keywords Consistentie

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

Bruikbaarheid

Url

Domein : tzhao.io

Lengte : 8

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