← Authors

Fenglong Ma

46 papers · 2019–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (7) πŸ”¬ Deep Specialist (11) πŸ† Keyword Champion 🀝 Dynamic Duo (13) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (211) πŸ’Ž Century Club (43) πŸ“ˆ Trend Setter ⚑ Prolific Year (9) πŸ”₯ Unstoppable (7)

Conferences

AAAI (13) NIPS (8) ACL (7) EMNLP (5) IJCAI (4) COLING (3) ICML (2) IJCNLP (2) ICLR (1) WACV (1)

Top co-authors

Jiaqi Wang (13) Han Liu (12) Ting Wang (10) Cao Xiao (9) Muchao Ye (9) Xiaotong Zhang (8) Jinghui Chen (8) Hong Yu (8) Junyu Luo (8) Feng Zhang (7)

Keywords

text classification (6) adversarial attack (5) multimodal learning (5) medical imaging (5) federated learning (4) few-shot learning (4) semantic similarity (4) graph neural network (3) contrastive learning (3) multi-label classification (3) multi-modal learning (3) transfer learning (3) visual question answering (3) black-box attack (3) query efficiency (2) neural network interpretability (2) deep learning (2) representation learning (2) self-attention mechanism (2) medical report generation (2)

Papers

Multi-graph Fusion Cross-model Contrastive Learning for Recommendation AAAI 2026
Enhancing Medical Large Vision-Language Models via Alignment Distillation AAAI 2026
Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification AAAI 2026
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
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
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
CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning COLING 2024
BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models EMNLP 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
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning ICML 2024
Recent Advances in Predictive Modeling with Electronic Health Records IJCAI 2024
Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources ACL 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
UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation NIPS 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
SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack AAAI 2023
Hierarchical Pretraining on Multimodal Electronic Health Records EMNLP 2023
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors IJCAI 2023
TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text AAAI 2022
QUALIFIER: Question-Guided Self-Attentive Multimodal Fusion Network for Audio Visual Scene-Aware Dialog WACV 2022
Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation COLING 2022
RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips COLING 2022
Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation IJCNLP 2021
Fusion: Towards Automated ICD Coding via Feature Compression IJCNLP 2021
Knowledge-Guided Paraphrase Identification EMNLP 2021
Fusion: Towards Automated ICD Coding via Feature Compression ACL 2021
Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation ACL 2021
SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations IJCAI 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