Quan Z. Sheng
21 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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Renaissance Researcher
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Research topics
Machine Learning
(14)
Artificial Intelligence
(8)
Application Areas
(7)
Deep Learning
(6)
Data Science & Analytics
(5)
Applications
(5)
Core Methods
(5)
Core AI
(4)
Learning Paradigms Β· Artificial Intelligence
(4)
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Natural Language Processing
(3)
Mathematics & Optimization
(2)
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Learning Paradigms Β· Machine Learning
(2)
Keywords
federated learning
(3)
contrastive learning
(3)
graph neural network
(3)
question generation
(2)
recommender system
(2)
representation learning
(2)
intention recognition
(2)
user behavior modeling
(2)
sequential recommendation
(2)
collaborative filtering
(2)
next-basket prediction
(2)
distractor generation
(2)
neural network
(2)
multimodal learning
(1)
text generation
(1)
adversarial robustness
(1)
claim verification
(1)
in-context learning
(1)
link prediction
(1)
unsupervised learning
(1)
Papers
CoRe-Fed: Bridging Collaborative and Representation Fairness via Federated Embedding Distillation
AAAI 2026
DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models
AAAI 2026
MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion
AAAI 2026
Plug-and-Play Parameter-Efficient Tuning of Embeddings for Federated Recommendation
AAAI 2026
Adversarial Attacks Against Automated Fact-Checking: A Survey
EMNLP 2025
Federated Learning at the Forefront of Fairness: A Multifaceted Perspective
IJCAI 2025
Fine-Tuning Encoder-Decoder Models with Contrastive Learning for In-Context Distractor Generation
EMNLP 2025
Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation
EMNLP 2024
Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification
MICCAI 2024
FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees
ICML 2024
Graph Neural Networks for Brain Graph Learning: A Survey
IJCAI 2024
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning
IJCAI 2023
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection
NeurIPS 2022
Learning From the Source Document: Unsupervised Abstractive Summarization
EMNLP 2022
Graph Learning based Recommender Systems: A Review
IJCAI 2021
Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction
IJCAI 2021
Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning
IJCAI 2020
Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction
AAAI 2020
Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks
IJCAI 2019
Sequential Recommender Systems: Challenges, Progress and Prospects
IJCAI 2019
STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting
IJCAI 2019