Senzhang Wang
28 papers · 2018–2026 · 5 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 (66) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Pioneer
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Triple Crown
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Conference Pioneer
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Top co-authors
Research topics
Machine Learning
(20)
Deep Learning
(18)
Artificial Intelligence
(16)
Core AI
(15)
Core Methods
(13)
Architectures
(9)
Learning Types Β· Deep Learning
(8)
Learning Types Β· Machine Learning
(7)
Computer Vision
(6)
Data Science & Analytics
(6)
Application Areas
(6)
Analysis
(5)
Techniques
(4)
Natural Language Processing
(3)
Applications
(3)
Keywords
graph neural network
(6)
representation learning
(4)
diffusion model
(3)
attention mechanism
(3)
domain adaptation
(3)
collaborative filtering
(2)
graph classification
(2)
misinformation detection
(2)
adversarial learning
(2)
graph convolution
(2)
fast fourier transform
(2)
cross-domain recommendation
(2)
convolutional neural network
(2)
autonomous driving
(2)
trajectory prediction
(2)
time series imputation
(2)
masked autoencoder
(2)
embedding learning
(1)
adversarial robustness
(1)
uncertainty quantification
(1)
Papers
DiMA: Distinguishing Resident and Tourist Preferences via Multi-Modal LLM Alignment for Out-of-Town Cross-Domain Recommendation
AAAI 2026
Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers
AAAI 2025
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction
AAAI 2025
FairTP: A Prolonged Fairness Framework for Traffic Prediction
AAAI 2025
Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training
AAAI 2025
MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning
AAAI 2025
STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation
IJCAI 2025
Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination
NeurIPS 2024
FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images
NeurIPS 2024
SaSDim:Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation
IJCAI 2024
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation
IJCAI 2024
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking
NeurIPS 2023
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks
NeurIPS 2023
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs
NeurIPS 2023
WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction
AAAI 2023
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space
ICLR 2022
HousE: Knowledge Graph Embedding with Householder Parameterization
ICML 2022
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks
IJCAI 2022
Robust Graph Structure Learning via Multiple Statistical Tests
NeurIPS 2022
Adversarial Directed Graph Embedding
AAAI 2021
Multi-Channel Pooling Graph Neural Networks
IJCAI 2021
Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification
AAAI 2020
Adversarial Learning for Weakly-Supervised Social Network Alignment
AAAI 2019
Aspect-Based Sentiment Classification with Attentive Neural Turing Machines
IJCAI 2019
Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems
AAAI 2019
Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks
IJCAI 2018
Ensemble Neural Relation Extraction with Adaptive Boosting
IJCAI 2018
Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network
IJCAI 2018