Yongfeng Huang

Black-box Membership Inference Attacks on the Pre-training Data of Image-generation Models CVPR 2026 Knowledge Poisoning Attacks on Medical Multi-Modal Retrieval-Augmented Generation ACL 2026 MrM: Black-Box Membership Inference Attacks Against Multimodal RAG Systems AAAI 2026 OncoCoT: A Temporal-causal Chain-of-Thought Dataset for Oncologic Decision-Making AAAI 2026 ShieldRAG: Safeguarding Retrieval-Augmented Generation from Untrusted Knowledge Bases AAAI 2026 GLoCIM: Global-view Long Chain Interest Modeling for news recommendation COLING 2025 Long-context Language Models Fail in Basic Retrieval Tasks Without Sufficient Reasoning Steps EMNLP 2025 Mitigate Position Bias in LLMs via Scaling a Single Hidden States Channel ACL 2025 pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning AAAI 2025 ProSwitch: Knowledge-Guided Instruction Tuning to Switch Between Professional and Non-Professional Responses IJCNLP 2025 Retrieval-Augmented Generation with Hierarchical Knowledge EMNLP 2025 Training with “Paraphrasing the Original Text” Teaches LLM to Better Retrieve in Long-Context Tasks AAAI 2025 KnowVrDU: A Unified Knowledge-aware Prompt-Tuning Framework for Visually-rich Document Understanding COLING 2024 RedditEM: Unveiling Diachronic Semantic Shifts in Social Network Discourse ACML 2024 Towards the Robustness of Differentially Private Federated Learning AAAI 2024 Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering EMNLP 2024 CLEVA: Chinese Language Models EVAluation Platform EMNLP 2023 FedSampling: A Better Sampling Strategy for Federated Learning IJCAI 2023 MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning ACL 2023 Solving Math Word Problems via Cooperative Reasoning induced Language Models ACL 2023 DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning EMNLP 2022 FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning NeurIPS 2022 Learning Reasoning Patterns for Relational Triple Extraction with Mutual Generation of Text and Graph ACL 2022 NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better ACL 2022 RelU-Net: Syntax-aware Graph U-Net for Relational Triple Extraction EMNLP 2022 Rethinking InfoNCE: How Many Negative Samples Do You Need? IJCAI 2022 Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation ACL 2022 DA-Transformer: Distance-aware Transformer NAACL 2021 Distribution Matching for Rationalization AAAI 2021 Fairness-aware News Recommendation with Decomposed Adversarial Learning AAAI 2021 HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation ACL 2021 Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling ACL 2021 Jointly Extracting Explicit and Implicit Relational Triples with Reasoning Pattern Enhanced Binary Pointer Network NAACL 2021 NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application EMNLP 2021 One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers ACL 2021 PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity ACL 2021 Provably Secure Generative Linguistic Steganography ACL 2021 Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving EMNLP 2021 User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation IJCAI 2021 Attentive Pooling with Learnable Norms for Text Representation ACL 2020 Named Entity Recognition in Multi-level Contexts AACL 2020 Privacy-Preserving News Recommendation Model Learning EMNLP 2020 PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision EMNLP 2020 SentiRec: Sentiment Diversity-aware Neural News Recommendation AACL 2020 User Modeling with Click Preference and Reading Satisfaction for News Recommendation IJCAI 2020 Detecting and Extracting of Adverse Drug Reaction Mentioning Tweets with Multi-Head Self Attention ACL 2019 Hierarchical User and Item Representation with Three-Tier Attention for Recommendation NAACL 2019 Neural News Recommendation with Attentive Multi-View Learning IJCAI 2019 Neural News Recommendation with Heterogeneous User Behavior EMNLP 2019 Neural News Recommendation with Multi-Head Self-Attention EMNLP 2019 Neural News Recommendation with Topic-Aware News Representation ACL 2019 Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network EMNLP 2019 THU_NGN at SemEval-2019 Task 12: Toponym Detection and Disambiguation on Scientific Papers SemEval 2019 THU_NGN at SemEval-2019 Task 3: Dialog Emotion Classification using Attentional LSTM-CNN SemEval 2019 Detecting Tweets Mentioning Drug Name and Adverse Drug Reaction with Hierarchical Tweet Representation and Multi-Head Self-Attention EMNLP 2018 Neural Metaphor Detecting with CNN-LSTM Model NAACL 2018 THU_NGN at SemEval-2018 Task 10: Capturing Discriminative Attributes with MLP-CNN model SemEval 2018 THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM SemEval 2018 THU_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji Prediction SemEval 2018 THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning SemEval 2018 Active Sentiment Domain Adaptation ACL 2017 THU_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM IJCNLP 2017 Sentiment Domain Adaptation with Multiple Sources ACL 2016