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Fenglong Ma

50 papers · 2019–2026 · 10 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (88) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
πŸ† Grand Slam 🧬 Topic Evolution 🀝 Dynamic Duo (14) πŸ”¬ Deep Specialist (11) ⚑ Prolific Year Β· Prolific πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner πŸ’Ž Century Club Β· Silver 🌈 Renaissance Researcher (5) πŸ—ƒοΈ Keyword Collector (236)

Papers

AutoRAN: Automated Hijacking of Safety Reasoning in Large Reasoning Models ACL 2026 Can Factual Opinions Be Edited (Manipulated) in Large Language Models? ACL 2026 Dynamic Token Reweighting for Robust Vision-Language Models CVPR 2026 Enhancing Medical Large Vision-Language Models via Alignment Distillation AAAI 2026 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 Multi-graph Fusion Cross-model Contrastive Learning for Recommendation AAAI 2026 Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification AAAI 2026 Towards Robust Multimodal Large Language Models Against Jailbreak Attacks CVPR 2026 AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection ACL 2025 Enhancing Foundation Models with Federated Domain Knowledge Infusion ICML 2025 Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning ACL 2025 Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning AAAI 2025 RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models ICLR 2025 Shadow-Activated Backdoor Attacks on Multimodal Large Language Models ACL 2025 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 CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning COLING 2024 Depression Detection via Capsule Networks with Contrastive Learning AAAI 2024 FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models EMNLP 2024 FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection NeurIPS 2024 Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing AAAI 2024 Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization NeurIPS 2024 pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning NeurIPS 2024 Recent Advances in Predictive Modeling with Electronic Health Records IJCAI 2024 Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction AAAI 2024 Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources ACL 2024 VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models AAAI 2024 Zero-Resource Hallucination Prevention for Large Language Models EMNLP 2024 Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors IJCAI 2023 Boosting Few-Shot Text Classification via Distribution Estimation AAAI 2023 Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks NeurIPS 2023 Hierarchical Pretraining on Multimodal Electronic Health Records EMNLP 2023 HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text NeurIPS 2023 SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack AAAI 2023 Towards Personalized Federated Learning via Heterogeneous Model Reassembly NeurIPS 2023 UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation NeurIPS 2023 VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models NeurIPS 2023 Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation COLING 2022 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 Fusion: Towards Automated ICD Coding via Feature Compression ACL 2021 i-Algebra: Towards Interactive Interpretability of Deep Neural Networks AAAI 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 ACL 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