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← Authors

Senzhang Wang

28 papers · 2018–2026 · 5 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🌍 Conference Polyglot (5) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸƒ Academic Marathon (7)
🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) πŸ—ΊοΈ Taxonomy Completionist (71) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (27) πŸš€ Conference Pioneer ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (155)

Conferences

AAAI (11) IJCAI (9) NIPS (6) ICLR (1) ICML (1)

Top co-authors

Chaozhuo Li (8) Jianxin Wang (4) Hao Peng (4) Hao Miao (3) Jianxin Li (3) Yaohua Wang (3) Hao Yan (3) Jun Yin (3) Litian Zhang (3) Xing Xie (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 MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning AAAI 2025 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 Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training AAAI 2025 FairTP: A Prolonged Fairness Framework for Traffic Prediction AAAI 2025 STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation IJCAI 2025 FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images NIPS 2024 Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation IJCAI 2024 SaSDim:Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation IJCAI 2024 Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination NIPS 2024 WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction AAAI 2023 A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking NIPS 2023 V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs NIPS 2023 Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks NIPS 2023 Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks IJCAI 2022 Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space ICLR 2022 HousE: Knowledge Graph Embedding with Householder Parameterization ICML 2022 Robust Graph Structure Learning via Multiple Statistical Tests NIPS 2022 Multi-Channel Pooling Graph Neural Networks IJCAI 2021 Adversarial Directed Graph Embedding AAAI 2021 Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification AAAI 2020 Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems AAAI 2019 Aspect-Based Sentiment Classification with Attentive Neural Turing Machines IJCAI 2019 Adversarial Learning for Weakly-Supervised Social Network Alignment AAAI 2019 Ensemble Neural Relation Extraction with Adaptive Boosting IJCAI 2018 Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks IJCAI 2018 Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network IJCAI 2018