Quan Z. Sheng

21 papers · 2019–2026 · 6 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (11)

🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (11) 🧬 Topic Evolution 🔥 Unstoppable (7) 💎 Century Club (17) 🚀 Conference Pioneer 🗃️ Keyword Collector (96)

Conferences

IJCAI (9) AAAI (5) EMNLP (4) ICML (1) MICCAI (1) NIPS (1)

Top co-authors

Jian Yang (6) Longbing Cao (5) Yan Wang (5) Liang Hu (5) Shoujin Wang (5) Mehmet Orgun (4) Jia Wu (4) Amin Beheshti (3) Shan Xue (3) Wei Emma Zhang (3)

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 Plug-and-Play Parameter-Efficient Tuning of Embeddings for Federated Recommendation AAAI 2026 MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion AAAI 2026 DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models AAAI 2026 Federated Learning at the Forefront of Fairness: A Multifaceted Perspective IJCAI 2025 Adversarial Attacks Against Automated Fact-Checking: A Survey EMNLP 2025 Fine-Tuning Encoder-Decoder Models with Contrastive Learning for In-Context Distractor Generation EMNLP 2025 FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees ICML 2024 Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation EMNLP 2024 Graph Neural Networks for Brain Graph Learning: A Survey IJCAI 2024 Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification MICCAI 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 NIPS 2022 Learning From the Source Document: Unsupervised Abstractive Summarization EMNLP 2022 Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction IJCAI 2021 Graph Learning based Recommender Systems: A Review 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 Sequential Recommender Systems: Challenges, Progress and Prospects IJCAI 2019 Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks IJCAI 2019 STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting IJCAI 2019