Fenglong Ma

GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models ACL 2026 ICDAGENT: Empowering Agentic Large Language Models for Explainable Medical Coding ACL 2026 Can Factual Opinions Be Edited (Manipulated) in Large Language Models? ACL 2026 Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification AAAI 2026 Enhancing Medical Large Vision-Language Models via Alignment Distillation AAAI 2026 Multi-graph Fusion Cross-model Contrastive Learning for Recommendation AAAI 2026 AutoRAN: Automated Hijacking of Safety Reasoning in Large Reasoning Models ACL 2026 Enhancing Foundation Models with Federated Domain Knowledge Infusion ICML 2025 RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models ICLR 2025 Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning AAAI 2025 Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning ACL 2025 AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection ACL 2025 Shadow-Activated Backdoor Attacks on Multimodal Large Language Models ACL 2025 CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning COLING 2024 Recent Advances in Predictive Modeling with Electronic Health Records IJCAI 2024 pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning NIPS 2024 FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models EMNLP 2024 Zero-Resource Hallucination Prevention for Large Language Models EMNLP 2024 BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models EMNLP 2024 Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning ICML 2024 FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection NIPS 2024 Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization NIPS 2024 VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models AAAI 2024 Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction AAAI 2024 Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing AAAI 2024 Depression Detection via Capsule Networks with Contrastive Learning AAAI 2024 Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources ACL 2024 SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack AAAI 2023 Towards Personalized Federated Learning via Heterogeneous Model Reassembly NIPS 2023 Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks NIPS 2023 HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text NIPS 2023 VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models NIPS 2023 Boosting Few-Shot Text Classification via Distribution Estimation AAAI 2023 UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation NIPS 2023 Hierarchical Pretraining on Multimodal Electronic Health Records EMNLP 2023 Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors IJCAI 2023 QUALIFIER: Question-Guided Self-Attentive Multimodal Fusion Network for Audio Visual Scene-Aware Dialog WACV 2022 RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips COLING 2022 TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text AAAI 2022 Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation COLING 2022 Fusion: Towards Automated ICD Coding via Feature Compression ACL 2021 Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation ACL 2021 Knowledge-Guided Paraphrase Identification EMNLP 2021 SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations IJCAI 2021 Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation IJCNLP 2021 Fusion: Towards Automated ICD Coding via Feature Compression IJCNLP 2021 i-Algebra: Towards Interactive Interpretability of Deep Neural Networks AAAI 2021 Weak Supervision for Fake News Detection via Reinforcement Learning AAAI 2020 Metric Learning on Healthcare Data with Incomplete Modalities IJCAI 2019 Multi-grained Named Entity Recognition ACL 2019