Chongyang Shi
11 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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Renaissance Researcher
(7)
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Research topics
Machine Learning
(9)
Artificial Intelligence
(7)
Core AI
(7)
Core Methods
(7)
Deep Learning
(6)
Learning Types Β· Machine Learning
(4)
Data Science & Analytics
(3)
Natural Language Processing
(3)
Application Areas
(3)
Applications Β· Data Science & Analytics
(3)
Architectures
(3)
Computer Science
(2)
Applications Β· Computer Science
(2)
Applications Β· Natural Language Processing
(2)
Learning Types Β· Deep Learning
(2)
Keywords
multimodal fusion
(2)
rumor detection
(2)
causal inference
(1)
multi-task learning
(1)
matrix factorization
(1)
sentiment analysis
(1)
policy gradient
(1)
text generation
(1)
hierarchical classification
(1)
collaborative filtering
(1)
attention mechanism
(1)
text classification
(1)
social media analysis
(1)
document summarization
(1)
contrastive learning
(1)
information retrieval
(1)
multimodal learning
(1)
sentiment classification
(1)
adversarial training
(1)
wasserstein distance
(1)
Papers
Exploring Hyperbolic Hierarchical Structure for Multimodal Rumor Detection
EMNLP 2025
Learning Robust Image Watermarking with Lossless Cover Recovery
ICCV 2025
Structural Patent Classification Using Label Hierarchy Optimization
EMNLP 2025
Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector
AAAI 2024
Information-Theoretic Opacity-Enforcement in Markov Decision Processes
IJCAI 2024
Causal Intervention for Abstractive Related Work Generation
EMNLP 2023
Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference
EMNLP 2023
A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing
IJCAI 2022
Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data
AAAI 2021
Balanced Joint Adversarial Training for Robust Intent Detection and Slot Filling
COLING 2020
An Attentive Memory Network Integrated with Aspect Dependency for Document-Level Multi-Aspect Sentiment Classification
ACML 2019