← Authors

Fuzhen Zhuang

41 papers · 2013–2026 · 8 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (8) 🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (15) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (12) 🀝 Dynamic Duo (12) πŸ”¬ Deep Specialist (16) πŸ”₯ Unstoppable (11) πŸš€ Conference Pioneer ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (201) πŸ“ˆ Trend Setter πŸ’Ž Century Club (40)

Conferences

AAAI (14) IJCAI (12) ACL (4) EMNLP (4) NIPS (3) ACML (2) COLING (1) IJCNLP (1)

Top co-authors

Zhao Zhang (12) Qing He (12) Deqing Wang (8) Hui Xiong (8) Fuwei Zhang (5) Yanchi Liu (5) Ting Jiang (5) Wei Chen (4) Ruobing Xie (3) Jingjing Gu (3)

Keywords

representation learning (6) graph neural network (5) multi-task learning (4) contrastive learning (4) knowledge graph completion (3) sentence embedding (2) link prediction (2) multi-label classification (2) knowledge graph embedding (2) feature interaction (2) long short-term memory (2) generative retrieval (2) unsupervised domain adaptation (2) collaborative filtering (2) knowledge transfer (2) multi-view learning (2) sequential recommendation (2) domain adaptation (1) transfer learning (1) adversarial learning (1)

Papers

Multi-Aspect Cross-modal Quantization for Generative Recommendation AAAI 2026
Multi-level Relevance Document Identifier Learning for Generative Retrieval ACL 2025
HierGR: Hierarchical Semantic Representation Enhancement for Generative Retrieval in Food Delivery Search ACL 2025
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation AAAI 2025
One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation AAAI 2025
Mixed-Curvature Multi-Modal Knowledge Graph Completion AAAI 2025
FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis IJCAI 2025
Resource-Aware Federated Self-Supervised Learning with Global Class Representations NIPS 2024
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking NIPS 2024
Scaling Sentence Embeddings with Large Language Models EMNLP 2024
Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction AAAI 2024
Pruning Pre-trained Language Models Without Fine-Tuning ACL 2023
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement AAAI 2022
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis COLING 2022
Exploiting Global and Local Hierarchies for Hierarchical Text Classification EMNLP 2022
PromptBERT: Improving BERT Sentence Embeddings with Prompts EMNLP 2022
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion IJCAI 2022
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation NIPS 2021
Community-Aware Multi-Task Transportation Demand Prediction AAAI 2021
Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction AAAI 2021
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification AAAI 2021
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection AAAI 2021
Incorporating Global Information in Local Attention for Knowledge Representation Learning ACL 2021
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction IJCAI 2021
Incorporating Global Information in Local Attention for Knowledge Representation Learning IJCNLP 2021
Collaborative Self-Attention Network for Session-based Recommendation IJCAI 2020
Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion AAAI 2020
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow ACML 2020
Graph Contextualized Self-Attention Network for Session-based Recommendation IJCAI 2019
SDC-causing Error Detection Based on Lightweight Vulnerability Prediction ACML 2019
Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction IJCAI 2019
Modelling of Bi-Directional Spatio-Temporal Dependence and Users’ Dynamic Preferences for Missing POI Check-In Identification AAAI 2019
Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources AAAI 2019
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation AAAI 2019
Knowledge Graph Embedding with Hierarchical Relation Structure EMNLP 2018
Sequential Recommender System based on Hierarchical Attention Networks IJCAI 2018
Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning IJCAI 2018
Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel IJCAI 2017
Online Bayesian Max-Margin Subspace Multi-View Learning IJCAI 2016
Supervised Representation Learning: Transfer Learning with Deep Autoencoders IJCAI 2015
Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework IJCAI 2013