Tong Zhao
49 papers · 2016–2026 · 13 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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πΊοΈ Taxonomy Completionist (77) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Keyword Champion
(2)
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Dynamic Duo
(19)
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Triple Crown
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Deep Specialist
(17)
β‘
Prolific Year Β· Prolific
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
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Century Club Β· Bronze
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Renaissance Researcher
(8)
ποΈ
Keyword Collector
(210)
Venues
Top co-authors
Research topics
Machine Learning
(33)
Deep Learning
(30)
Artificial Intelligence
(19)
Core Methods
(19)
Architectures
(18)
Core AI
(16)
Application Areas
(11)
Natural Language Processing
(9)
Models
(9)
Optimization & Theory
(9)
Learning Types Β· Machine Learning
(8)
Learning Types Β· Deep Learning
(6)
Computer Vision
(4)
Applications
(4)
Generation
(4)
Keywords
graph neural network
(15)
link prediction
(6)
node classification
(5)
diffusion model
(4)
message passing
(3)
data augmentation
(3)
text generation
(3)
self-supervised learning
(3)
knowledge graph
(3)
boolean matrix factorization
(3)
retrieval-augmented generation
(2)
node embedding
(2)
mixture of expert
(2)
domain adaptation
(2)
test-time augmentation
(2)
binary matrix
(2)
collaborative filtering
(2)
graph structure
(2)
knowledge distillation
(2)
distribution shift
(2)
Papers
ATIR: Towards Audio-Text Interleaved Contextual Retrieval
ACL 2026
D-GARA: A Dynamic Benchmarking Framework for GUI Agent Robustness in Real-World Anomalies
AAAI 2026
Fast3Dcache: Training-free 3D Geometry Synthesis Acceleration
CVPR 2026
Few-Step Diffusion Sampling Through Instance-Aware Discretizations
CVPR 2026
Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings
ACL 2026
Improving Diffusion Generalization with Weak-to-Strong Segmented Guidance
CVPR 2026
MemRec: Collaborative Memory-Augmented Agentic Recommender System
ACL 2026
R^3AG: Retriever Routing for Retrieval-Augmented Generation
ACL 2026
ST-VLM: A Spatial-to-Image Multimodal Spatial-Temporal Prediction Framework with Vision-Language Model
AAAI 2026
Taming Video Models for 3D and 4D Generation via Zero-Shot Camera Control
CVPR 2026
Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling
ACL 2026
CSAHFL:Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks
IJCAI 2025
Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models
ICCV 2025
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks
ICML 2025
Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning
ICML 2025
Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning
CVPR 2025
Physics-Driven Data Generation for Contact-Rich Manipulation via Trajectory Optimization
RSS 2025
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance
ICLR 2024
Bias-aware Boolean Matrix Factorization Using Disentangled Representation Learning
UAI 2024
How Does Message Passing Improve Collaborative Filtering?
NeurIPS 2024
LLaGA: Large Language and Graph Assistant
ICML 2024
Position: Graph Foundation Models Are Already Here
ICML 2024
Revisiting Link Prediction: a data perspective
ICLR 2024
Data-Centric Learning from Unlabeled Graphs with Diffusion Model
NeurIPS 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
NeurIPS 2023
Empowering Graph Representation Learning with Test-Time Graph Transformation
ICLR 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation
NeurIPS 2023
Linkless Link Prediction via Relational Distillation
ICML 2023
Link Prediction with Non-Contrastive Learning
ICLR 2023
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
ICLR 2023
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
ICLR 2023
RLEKF: An Optimizer for Deep Potential with Ab Initio Accuracy
AAAI 2023
Bias aware probabilistic Boolean matrix factorization
UAI 2022
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts
ACL 2022
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts
NAACL 2022
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering
EMNLP 2022
Learning from Counterfactual Links for Link Prediction
ICML 2022
Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback
AISTATS 2022
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training
NAACL 2022
Data Augmentation for Graph Neural Networks
AAAI 2021
End-to-End Conversational Search for Online Shopping with Utterance Transfer
EMNLP 2021
Graph-based Multilingual Product Retrieval in E-Commerce Search
NAACL 2021
Sentence-Permuted Paragraph Generation
EMNLP 2021
A Probabilistic Model with Commonsense Constraints for Pattern-based Temporal Fact Extraction
ACL 2020
Fast and Efficient Boolean Matrix Factorization by Geometric Segmentation
AAAI 2020
Geometric All-way Boolean Tensor Decomposition
NeurIPS 2020
Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text
EMNLP 2019
Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention
IJCAI 2018
Modeling the Homophily Effect between Links and Communities for Overlapping Community Detection
IJCAI 2016