Fuzhen Zhuang

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